{"meta":{"query_hash":"93e9c5e246e8","filters":{"topic":"Geophysical Methods and Applications"},"cohort_total":1000,"direct_labels_cover":1,"predictions_cover":1000,"exported":1000,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/93e9c5e246e8","api":"https://metacan.xera.ac/api/v1/cohort?topic=Geophysical+Methods+and+Applications"},"results":[{"id":"W1019458194","doi":"10.1007/978-1-4020-3610-1_41","title":"A Non-linear GPR Tomographic Inversion Algorithm Based on Iterated Cokriging and Conditional Simulations","year":2005,"lang":"en","type":"book-chapter","venue":"Quantitative geology and geostatistics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Ground-penetrating radar; Inversion (geology); Iterated function; Algorithm; Geology; Computer science; Mathematics; Seismology; Mathematical analysis","score_opus":0.01946512640467433,"score_gpt":0.280942128276992,"score_spread":0.26147700187231765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1019458194","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020838673,0.000020502894,0.9968449,0.000020730338,0.000010947763,0.000014843164,0.00001583507,0.0005625492,0.00042584026],"genre_scores_gemma":[0.04339656,0.000047381083,0.9547541,0.000029148909,0.000011589727,0.00007711096,0.000112163056,0.00020249184,0.0013695463],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975365,0.000067030334,0.00001504289,0.000042436026,0.00010384475,0.000018002967],"domain_scores_gemma":[0.99929047,0.0003684384,0.000035073936,0.00009729613,0.00018534905,0.000023377765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059358764,0.00054145965,0.00084373384,0.0003570091,0.00041504425,0.0006378739,0.0015490502,0.000753032,0.0028207963],"category_scores_gemma":[0.001785145,0.00057778106,0.0006782099,0.00058983755,0.00046418735,0.00083644805,0.0009154432,0.001156722,0.0010183069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014341039,0.00010928216,0.0006190594,0.00010638315,0.0000884518,0.000102396116,0.00011174469,0.66215646,0.015908208,0.025472268,0.0028661569,0.29231614],"study_design_scores_gemma":[0.000006718617,0.000009048702,0.00006561,0.000002099648,0.000005180261,0.000029811394,0.0000025706784,0.9967981,0.0010451808,0.0014957425,0.00053325144,0.0000066619723],"about_ca_topic_score_codex":0.0059480797,"about_ca_topic_score_gemma":0.009365397,"teacher_disagreement_score":0.0059480797,"about_ca_system_score_codex":0.00045006667,"about_ca_system_score_gemma":0.0011445176,"threshold_uncertainty_score":0.011826873},"labels":[],"label_agreement":null},{"id":"W1022166095","doi":"10.11395/jjsem.7.s1","title":"A Monitoring Technique for Contaminant Transport in Soil Using Resistivity Cones","year":2007,"lang":"en","type":"article","venue":"Jikken rikigaku","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Electrical resistivity and conductivity; Environmental science; Electrical resistivity tomography; Soil science; Geotechnical engineering; Remote sensing; Materials science; Petroleum engineering; Geology; Engineering; Electrical engineering","score_opus":0.031248416344830453,"score_gpt":0.3121207357696102,"score_spread":0.28087231942477975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1022166095","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31648397,0.0025560334,0.6728616,0.00027062374,0.00011087602,0.00019342487,0.00058057054,0.0016709957,0.005271998],"genre_scores_gemma":[0.697747,0.0012898493,0.2984867,0.000069571826,0.00003964926,0.00008751039,0.00023442008,0.000079334415,0.00196596],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995701,0.000060448237,0.000016416598,0.000122040336,0.00019280871,0.000038186958],"domain_scores_gemma":[0.99931335,0.00018662756,0.000119359414,0.00009496399,0.00024368927,0.000041922838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003551414,0.00059585413,0.00033760926,0.00081450364,0.00029642842,0.0005091774,0.0006170636,0.0005072685,0.00049106934],"category_scores_gemma":[0.00071293506,0.00027605603,0.00021003764,0.0008757952,0.0003034857,0.0009866882,0.00045392566,0.0006617211,0.00021392651],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014713634,0.000060279624,0.0044372915,0.00015746558,0.000015510082,0.0002703664,0.00018422183,0.0013779675,0.8935897,0.00075576664,0.00049000565,0.098514296],"study_design_scores_gemma":[0.0000784378,0.0010207564,0.027255826,0.00008006979,0.00014431418,0.003886754,0.00031416406,0.071364574,0.8801146,0.0010302551,0.014589276,0.000121071724],"about_ca_topic_score_codex":0.0010425698,"about_ca_topic_score_gemma":0.0013843053,"teacher_disagreement_score":0.0010425698,"about_ca_system_score_codex":0.00016345347,"about_ca_system_score_gemma":0.00039925592,"threshold_uncertainty_score":0.0020729303},"labels":[],"label_agreement":null},{"id":"W111969479","doi":"10.1007/0-387-28324-2_15","title":"Remediation of Petroleum-Containing Soil and Groundwater at a Former Rail Yard Locomotive Fueling Area","year":2006,"lang":"en","type":"book-chapter","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Pacific Railway (Canada)","funders":"","keywords":"Soil vapor extraction; Air sparging; Environmental science; Environmental remediation; Diesel fuel; Groundwater; Extraction (chemistry); Petroleum; Environmental chemistry; Soil water; Environmental engineering; Underground storage tank; Volatile organic compound; Waste management; Groundwater remediation; Contamination; Chemistry; Soil science; Geology; Geotechnical engineering; Ecology; Engineering; Storage tank","score_opus":0.015977922716171523,"score_gpt":0.21278757293126457,"score_spread":0.19680965021509306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W111969479","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889171,0.00051080174,0.0032296828,0.00032847756,0.000013706705,0.0000297661,0.00023389375,0.000090976966,0.0066455333],"genre_scores_gemma":[0.9780546,0.0006607703,0.005629804,0.00005576481,0.0000055347546,0.00000972134,0.00015727889,0.0000136381395,0.015412878],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99993384,0.0000058085343,0.000002676206,0.0000105458175,0.00003785892,0.000009219901],"domain_scores_gemma":[0.9999714,0.0000071383074,0.000003524423,0.0000016055994,0.000012757416,0.000003540627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008355434,0.00013190808,0.00019370236,0.00035211872,0.0006694662,0.00034579227,0.00039553124,0.00047106232,0.00062569336],"category_scores_gemma":[0.00012974633,0.00007903962,0.00013638963,0.0004889367,0.0001909617,0.00025380164,0.00020195992,0.00022517104,0.0001428166],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031097402,0.0003202685,0.085341446,0.00048948417,0.000034376524,0.0043418696,0.0041047693,0.017485948,0.42266345,0.0014944029,0.0035633359,0.45984963],"study_design_scores_gemma":[0.0000870953,0.0017143172,0.43750277,0.00016667836,0.000121325866,0.0056314203,0.011088322,0.052085504,0.41437474,0.0040784325,0.0730583,0.00009111784],"about_ca_topic_score_codex":0.052928414,"about_ca_topic_score_gemma":0.16450736,"teacher_disagreement_score":0.052928414,"about_ca_system_score_codex":0.00073467544,"about_ca_system_score_gemma":0.0011094956,"threshold_uncertainty_score":0.1052407},"labels":[],"label_agreement":null},{"id":"W1140431251","doi":"10.1007/978-1-4419-9146-1_53","title":"High Resolution Imaging Using A SFCW GPR","year":2003,"lang":"en","type":"book-chapter","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Ground-penetrating radar; Wideband; Radar; Bandwidth (computing); Computer science; Flexibility (engineering); Resolution (logic); Range (aeronautics); High resolution; Radar systems; Continuous wave; Time domain; Electronic engineering; Remote sensing; Telecommunications; Engineering; Optics; Physics; Geology; Artificial intelligence; Mathematics; Aerospace engineering; Computer vision; Laser","score_opus":0.02338087416829165,"score_gpt":0.24487134935475036,"score_spread":0.2214904751864587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1140431251","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036233133,0.0025152818,0.92399836,0.00022849508,0.00030505887,0.00003719377,0.00013231194,0.0019706623,0.067189395],"genre_scores_gemma":[0.04338521,0.007050379,0.7063904,0.00025865383,0.00028252348,0.000050627106,0.0005328029,0.0006958115,0.24135368],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99981385,0.000012888175,0.000006813258,0.00002763449,0.000130407,0.000008512609],"domain_scores_gemma":[0.99983835,0.00005827784,0.0000052779774,0.000037130376,0.000055146735,0.0000057799093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002553765,0.00072461757,0.00058665214,0.00074729265,0.0002049766,0.0010483959,0.0006560939,0.0009519083,0.010876181],"category_scores_gemma":[0.0004008416,0.00044575075,0.00033639994,0.0009543875,0.00042143968,0.001498304,0.0005515282,0.00079153414,0.008739128],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042796735,0.000033283308,0.00013117674,0.00032566127,0.000013246296,0.00019557361,0.00014452703,0.0050754016,0.11448318,0.029390845,0.017866682,0.8322976],"study_design_scores_gemma":[0.000025400273,0.00022249062,0.001791918,0.0002377933,0.00006698958,0.0060672956,0.00017444431,0.09481679,0.23185825,0.06980791,0.5948322,0.00009859826],"about_ca_topic_score_codex":0.00032615924,"about_ca_topic_score_gemma":0.0005923725,"teacher_disagreement_score":0.010876181,"about_ca_system_score_codex":0.0002003261,"about_ca_system_score_gemma":0.0002457539,"threshold_uncertainty_score":0.036384463},"labels":[],"label_agreement":null},{"id":"W1170729772","doi":"10.1016/j.enggeo.2015.07.010","title":"Non-invasive detection of fractures, fracture zones, and rock damage in a hard rock excavation — Experience from the Äspö Hard Rock Laboratory in Sweden","year":2015,"lang":"en","type":"article","venue":"Engineering Geology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Norges Forskningsråd; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Nuclear Waste Management Organization","keywords":"Excavation; Ground-penetrating radar; Geology; Lidar; Geotechnical engineering; Mining engineering; Seismology; Radar; Remote sensing; Engineering","score_opus":0.012433896296315488,"score_gpt":0.24086117550825037,"score_spread":0.22842727921193487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1170729772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966839,0.0002774309,0.0023039381,0.00004879344,0.000006796763,0.000033936016,0.000053672993,0.00002290875,0.00056865497],"genre_scores_gemma":[0.98830324,0.00047880466,0.008885639,0.000033149216,0.000019036735,0.000022471051,0.000117916876,0.000020662092,0.0021190757],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983438,0.00044829317,0.0000864479,0.0003482319,0.00056740467,0.00020577745],"domain_scores_gemma":[0.9972185,0.0015013634,0.00017861545,0.00019591922,0.00046457892,0.00044093764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001718694,0.0009977724,0.00054038485,0.0009707453,0.00089937577,0.00079815934,0.0013089846,0.0010508843,0.00067271787],"category_scores_gemma":[0.0026951442,0.00047098866,0.00041385271,0.0004907313,0.0013541656,0.00063548976,0.0013714248,0.0005661225,0.00031917257],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004120698,0.006322906,0.43933013,0.0009660806,0.00033065438,0.016592529,0.035355948,0.0063447813,0.16611043,0.00036957092,0.0010459947,0.32311037],"study_design_scores_gemma":[0.00020766136,0.010718472,0.8582592,0.00016639118,0.00040788885,0.015522016,0.032402173,0.011152763,0.060235966,0.00092390855,0.009754004,0.0002497544],"about_ca_topic_score_codex":0.006493091,"about_ca_topic_score_gemma":0.020128505,"teacher_disagreement_score":0.006493091,"about_ca_system_score_codex":0.00042004514,"about_ca_system_score_gemma":0.0009964592,"threshold_uncertainty_score":0.0129106045},"labels":[],"label_agreement":null},{"id":"W124736584","doi":"10.3141/2522-08","title":"Clustering-Based Threshold Model for Condition Assessment of Concrete Bridge Decks with Ground-Penetrating Radar","year":2015,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Federal Highway Administration","keywords":"Ground-penetrating radar; Rebar; Bridge (graph theory); Reflection (computer programming); Amplitude; Cluster analysis; Structural engineering; Computer science; Slab; Radar; Attenuation; Acoustics; Geology; Geotechnical engineering; Engineering; Artificial intelligence; Telecommunications; Optics; Physics","score_opus":0.155197235312417,"score_gpt":0.42191151248303926,"score_spread":0.26671427717062224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W124736584","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09448963,0.00022231326,0.9030678,0.000091455404,0.000026846124,0.00010534235,0.00013805232,0.00050794723,0.00135066],"genre_scores_gemma":[0.9295692,0.00018312602,0.06790545,0.00003025528,0.000018780773,0.00015966473,0.00028040237,0.0000474285,0.0018058202],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949527,0.00012565586,0.000036868176,0.0001608787,0.00010425029,0.00007710929],"domain_scores_gemma":[0.9990476,0.0004255368,0.000127075,0.00005787107,0.00030541272,0.000036568854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012968071,0.00078589766,0.0009000915,0.0009831481,0.00039087355,0.0009148695,0.0016197058,0.0010486896,0.0010335448],"category_scores_gemma":[0.0027720726,0.0004160606,0.00091434916,0.0006975483,0.0005803267,0.000830861,0.00062542415,0.0007123435,0.00034833964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000071650844,0.000029092369,0.001450429,0.00003183401,0.000032065884,0.000040138548,0.00006227194,0.9808111,0.001787332,0.0019628103,0.00021344103,0.013507789],"study_design_scores_gemma":[0.000001302847,0.0000069930334,0.00030344463,0.0000015619677,0.000004038278,0.0000050193185,0.0000062026616,0.9990829,0.00018294912,0.00036647625,0.000034786928,0.000004247067],"about_ca_topic_score_codex":0.019061128,"about_ca_topic_score_gemma":0.0107525615,"teacher_disagreement_score":0.019061128,"about_ca_system_score_codex":0.0012834747,"about_ca_system_score_gemma":0.00081337825,"threshold_uncertainty_score":0.03790033},"labels":[],"label_agreement":null},{"id":"W1269638717","doi":"10.1016/j.jappgeo.2015.06.005","title":"Characterization of discontinuities inside massive concrete structures with normal dc resistivity logging","year":2015,"lang":"en","type":"article","venue":"Journal of Applied Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Classification of discontinuities; Discontinuity (linguistics); Electrical conductor; Electrical resistivity and conductivity; Computer science; Materials science; Dimension (graph theory); Geology; Structural engineering; Engineering; Mathematics; Mathematical analysis; Composite material; Electrical engineering","score_opus":0.01208703780273722,"score_gpt":0.21876562829672247,"score_spread":0.20667859049398524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1269638717","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98985124,0.000048133308,0.009114941,0.0000107702,0.00000485606,0.000008831587,0.000074715805,0.000089160494,0.0007973157],"genre_scores_gemma":[0.9984693,0.00001767393,0.0013584029,0.0000013993241,0.0000016429176,0.0000013279007,0.00003492707,0.0000031446025,0.00011209176],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998872,0.000010310833,0.0000067523565,0.0000248996,0.000046000132,0.000024778672],"domain_scores_gemma":[0.9994961,0.00011717262,0.0001266287,0.000079231715,0.00014088297,0.000039968036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015221014,0.0002392567,0.00014842804,0.0011794767,0.00018883725,0.00045500373,0.0002590849,0.0003494979,0.000577128],"category_scores_gemma":[0.00060936826,0.00015807059,0.00009655241,0.0006691247,0.0004221965,0.0003473599,0.0002789539,0.00021367392,0.00011102732],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010603493,0.00026943817,0.21946976,0.00023242734,0.000043674278,0.001672187,0.0010318427,0.021486536,0.6580109,0.0011515396,0.00042645034,0.095144846],"study_design_scores_gemma":[0.000027430173,0.0004329573,0.61612165,0.000057498986,0.00017450094,0.0021387776,0.0015616354,0.21197174,0.16463089,0.0007449958,0.0020690844,0.00006880035],"about_ca_topic_score_codex":0.00090452994,"about_ca_topic_score_gemma":0.0015021682,"teacher_disagreement_score":0.0011794767,"about_ca_system_score_codex":0.00009995681,"about_ca_system_score_gemma":0.00018536285,"threshold_uncertainty_score":0.001930654},"labels":[],"label_agreement":null},{"id":"W12922069","doi":"10.1016/s0048-9697(03)00267-5","title":"Soil water content measurements with the ground wave of gound-penetrating radar","year":2002,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ground-penetrating radar; Remote sensing; Water content; Groundwater; Radar; Geology; Content (measure theory); Environmental science; Hydrology (agriculture); Geotechnical engineering; Engineering","score_opus":0.051433553863577806,"score_gpt":0.20246382392879317,"score_spread":0.15103027006521536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W12922069","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888741,0.0003578833,0.0063802768,0.00002908274,0.000016026619,0.000027152957,0.0015801489,0.00012571253,0.0026097347],"genre_scores_gemma":[0.992214,0.00031682663,0.0047847787,0.000050091883,0.000008122449,0.000022574886,0.0016349108,0.000014619642,0.0009539466],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998766,0.000012504898,0.00000697298,0.000039964798,0.000044691915,0.000019107852],"domain_scores_gemma":[0.9998914,0.00001545822,0.000038060796,0.000010325559,0.00003556223,0.00000928406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000089933856,0.00026231958,0.00013713987,0.0006600309,0.00013452799,0.0002510989,0.00018981294,0.00022717373,0.0012046156],"category_scores_gemma":[0.00027171386,0.00009949493,0.00010390592,0.000902037,0.00009070702,0.00036754753,0.00020816099,0.0001718448,0.00054915796],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030654387,0.0001566968,0.43122318,0.0001461316,0.00013902175,0.00025764565,0.00024807118,0.001108179,0.44405267,0.00014442154,0.0011245379,0.12109283],"study_design_scores_gemma":[0.000043624932,0.00037434304,0.88910556,0.0000157607,0.00010294738,0.00039878377,0.00035052467,0.007932737,0.09593364,0.00026533686,0.005447187,0.000029476696],"about_ca_topic_score_codex":0.0025814492,"about_ca_topic_score_gemma":0.005961264,"teacher_disagreement_score":0.0025814492,"about_ca_system_score_codex":0.000103511535,"about_ca_system_score_gemma":0.000099825455,"threshold_uncertainty_score":0.0051329136},"labels":[],"label_agreement":null},{"id":"W131653378","doi":"","title":"Condition Assessment of Concrete Bridge Decks using Ground Penetrating Radar","year":2014,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bridge (graph theory); Ground-penetrating radar; Rebar; Engineering; Visual inspection; Bridge deck; Nondestructive testing; Forensic engineering; Structural health monitoring; Bridge maintenance; Structural engineering; Corrosion; Deck; Civil engineering; Radar; Computer science; Materials science","score_opus":0.036596782201511954,"score_gpt":0.3330057444022791,"score_spread":0.2964089622007671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W131653378","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9641062,0.00023843425,0.032844692,0.000021187021,0.0000136736435,0.00006997257,0.00021353959,0.0002322471,0.0022599609],"genre_scores_gemma":[0.98552424,0.00014477287,0.01350647,0.00001273323,0.0000034616482,0.000013590889,0.00016488186,0.000007369175,0.000622509],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995826,0.00004731736,0.00003097932,0.00009433777,0.0002039747,0.00004074447],"domain_scores_gemma":[0.99945563,0.00009248275,0.00009809882,0.000036307123,0.0002916738,0.00002585017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053375924,0.00034404127,0.0002485439,0.0014896856,0.00013827479,0.0004476223,0.00025648111,0.00035227486,0.00052275247],"category_scores_gemma":[0.00092553697,0.00014308102,0.00018709608,0.00050554355,0.00015564733,0.0005840695,0.00035642195,0.00016156305,0.00024390285],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048409236,0.0002097267,0.23748584,0.00030673426,0.0000704084,0.00050720206,0.0004077324,0.0225033,0.48935878,0.00045183412,0.0007453262,0.247469],"study_design_scores_gemma":[0.00002150948,0.0011631702,0.57136256,0.000059640843,0.000115219984,0.00070327724,0.0011709859,0.19749254,0.22555393,0.0003085313,0.001958183,0.00009043936],"about_ca_topic_score_codex":0.0013991066,"about_ca_topic_score_gemma":0.0034240284,"teacher_disagreement_score":0.0014896856,"about_ca_system_score_codex":0.00021959799,"about_ca_system_score_gemma":0.00015581348,"threshold_uncertainty_score":0.0028228164},"labels":[],"label_agreement":null},{"id":"W138010521","doi":"","title":"Time-Frequency Transform Techniques Applied to Ultra-wideband Ground-Penetrating Radar","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ground-penetrating radar; Radar; Art history; Humanities; Physics; Art; Telecommunications; Engineering","score_opus":0.015362113539456174,"score_gpt":0.2561347593665399,"score_spread":0.24077264582708371,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W138010521","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01040072,0.00067161035,0.98524284,0.000111862166,0.00010093547,0.000017357677,0.000050621766,0.00026796592,0.0031360106],"genre_scores_gemma":[0.18216468,0.004069244,0.8020946,0.00011602932,0.00014013771,0.00008822887,0.00031239487,0.00018063207,0.010834153],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998404,0.00003591367,0.000008924958,0.000019032686,0.00008192022,0.000013781059],"domain_scores_gemma":[0.99969995,0.00014388058,0.000036581918,0.00003711915,0.00007186161,0.000010607495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028648484,0.00040076423,0.00021209435,0.0007741105,0.00015413789,0.0005111914,0.0002490717,0.0004574681,0.0041386527],"category_scores_gemma":[0.0011177092,0.0001773857,0.00024333097,0.0011794341,0.0002681986,0.00066336215,0.00047863155,0.00055467733,0.0017445441],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000108106666,0.000055918692,0.00075139734,0.00022815686,0.000032253938,0.00031722302,0.00018081444,0.038371928,0.19855718,0.02605419,0.0029572332,0.7323856],"study_design_scores_gemma":[0.000035200155,0.0001928402,0.003325428,0.00009457569,0.000044966848,0.002148009,0.00020626637,0.78696376,0.12761085,0.02801644,0.051312268,0.000049399518],"about_ca_topic_score_codex":0.00048177986,"about_ca_topic_score_gemma":0.00062362035,"teacher_disagreement_score":0.0041386527,"about_ca_system_score_codex":0.00013347244,"about_ca_system_score_gemma":0.0002835758,"threshold_uncertainty_score":0.013845146},"labels":[],"label_agreement":null},{"id":"W1481020370","doi":"","title":"Comparison of the time-reversal and SEABED imaging algorithms applied on ultra-wideband experimental SPR data","year":2010,"lang":"en","type":"article","venue":"European Radar Conference","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Wideband; Bandwidth (computing); Computer science; Algorithm; Electronic engineering; Ultra-wideband; Acoustics; Engineering; Telecommunications; Physics","score_opus":0.03466635809686357,"score_gpt":0.2925309184939597,"score_spread":0.2578645603970961,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1481020370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49944344,0.00038316209,0.49577817,0.00010123103,0.00008460856,0.00011521531,0.0001083616,0.0011809979,0.0028049208],"genre_scores_gemma":[0.51749843,0.00029972492,0.48021373,0.000047189405,0.000019323526,0.000092982045,0.000286846,0.00021329398,0.0013284907],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99913615,0.00031833426,0.000048724745,0.00013473326,0.0002913954,0.00007062773],"domain_scores_gemma":[0.99677026,0.0015404987,0.0001737521,0.00041188727,0.0010265937,0.00007707247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017680664,0.0005053048,0.00041784978,0.0010400043,0.0001992308,0.00063381006,0.000602365,0.000770335,0.001323867],"category_scores_gemma":[0.005922203,0.00015057242,0.00026652947,0.0007500391,0.00029644367,0.0012251986,0.00034645322,0.0003455838,0.00047042512],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016873762,0.0003798657,0.008404662,0.00041811776,0.00018384756,0.00011540832,0.00026072306,0.046921767,0.32936856,0.0023436642,0.00057599996,0.6093401],"study_design_scores_gemma":[0.00012549706,0.00084178796,0.024200922,0.000033657972,0.000102441976,0.0006555742,0.00027146997,0.6605189,0.30924714,0.0008822948,0.0030363614,0.00008391154],"about_ca_topic_score_codex":0.00068574847,"about_ca_topic_score_gemma":0.0011811036,"teacher_disagreement_score":0.0017680664,"about_ca_system_score_codex":0.00019796248,"about_ca_system_score_gemma":0.00029005794,"threshold_uncertainty_score":0.009350538},"labels":[],"label_agreement":null},{"id":"W1489423293","doi":"","title":"UWB antenna array for level and permittivity measurement with calibrated layer stripping","year":2015,"lang":"en","type":"article","venue":"European Conference on Antennas and Propagation","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Antenna (radio); Sensor array; Materials science; Acoustics; Optics; Ultra-wideband; Antenna array; Dipole antenna; Radar; Electronic engineering; Computer science; Engineering; Physics; Electrical engineering; Telecommunications","score_opus":0.20597678053892962,"score_gpt":0.2764767310006955,"score_spread":0.07049995046176585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1489423293","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2831242,0.00032556732,0.70932966,0.00012805246,0.00014387771,0.000055206823,0.00026678195,0.0028101748,0.003816409],"genre_scores_gemma":[0.58853626,0.00016927943,0.40712202,0.00009713486,0.000027837143,0.00010543126,0.0003083303,0.00009433976,0.0035392984],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994004,0.00011436858,0.000029576293,0.00015363535,0.00026325867,0.000038765163],"domain_scores_gemma":[0.9993981,0.00011109044,0.000103061095,0.00019715463,0.00016575381,0.000024806002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000361649,0.000393158,0.00053635996,0.00047921797,0.00009890314,0.0004963649,0.0007072917,0.00052488793,0.0014903034],"category_scores_gemma":[0.0007941501,0.00032930396,0.0002683045,0.00041089885,0.00015651334,0.00047901698,0.000565009,0.0004220743,0.0012463239],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015122606,0.000029512787,0.0008335558,0.00006013877,0.000022941986,0.000049253907,0.00006210005,0.0027639824,0.9482793,0.00040601823,0.0003302955,0.047011647],"study_design_scores_gemma":[0.000018869927,0.00036422422,0.002785392,0.000011709008,0.000035600573,0.00048389845,0.000055644257,0.046844333,0.9435343,0.0002876619,0.0055434173,0.00003487346],"about_ca_topic_score_codex":0.00013245952,"about_ca_topic_score_gemma":0.00019542876,"teacher_disagreement_score":0.0014903034,"about_ca_system_score_codex":0.00023705822,"about_ca_system_score_gemma":0.0001660787,"threshold_uncertainty_score":0.0049855113},"labels":[],"label_agreement":null},{"id":"W1493374911","doi":"10.1002/arp.1500","title":"Geophysical Investigations on the Viking Period Platform Mound at Aska in Hagebyhöga Parish, Sweden","year":2014,"lang":"en","type":"article","venue":"Archaeological Prospection","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Period (music); Archaeology; Elite; Ancient history; Politics; Polity; Quarter (Canadian coin); Geology; History; Art; Law","score_opus":0.02880199941355061,"score_gpt":0.24614278564640127,"score_spread":0.21734078623285066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1493374911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99306,0.0004396587,0.00017665613,0.00009276289,0.000037710204,0.000022966142,0.00038877566,0.000038852857,0.0057426067],"genre_scores_gemma":[0.9966192,0.00027588086,0.0006459604,0.00003237289,0.000026251166,0.000016701717,0.0002825894,0.000018395029,0.0020825344],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996939,0.000026802361,0.000011364993,0.00006616374,0.00012089006,0.000080974954],"domain_scores_gemma":[0.99985075,0.000026959677,0.000035540917,0.00002093152,0.000027734943,0.000038006117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027196706,0.0004495798,0.00043058378,0.0016686844,0.0015181379,0.0016468443,0.00050731347,0.0008761833,0.0016265692],"category_scores_gemma":[0.00036692433,0.0003891844,0.00028134437,0.0010481381,0.0014540801,0.00038098235,0.0015864348,0.00047309656,0.0007388263],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011087201,0.00045489476,0.7016549,0.0010863561,0.0006405148,0.04830739,0.051993676,0.0060159895,0.09168351,0.0037337493,0.007175533,0.086144745],"study_design_scores_gemma":[0.000020163654,0.00011258166,0.9741173,0.00009573681,0.000037011276,0.001521442,0.013865106,0.0004888739,0.0007065161,0.00019949878,0.0088068005,0.00002898202],"about_ca_topic_score_codex":0.01790129,"about_ca_topic_score_gemma":0.053563356,"teacher_disagreement_score":0.01790129,"about_ca_system_score_codex":0.000556179,"about_ca_system_score_gemma":0.0007949421,"threshold_uncertainty_score":0.035594225},"labels":[],"label_agreement":null},{"id":"W1493916601","doi":"10.1109/appeec.2014.7066170","title":"Realistic and accurate model for analyzing substation grounding systems buried in various backfill material","year":2014,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Safe Engineering Services & Technologies (Canada)","funders":"","keywords":"Computation; Finite element method; Ground; Earthing system; Boundary value problem; Boundary (topology); Grid; Geotechnical engineering; Computer science; Ground-penetrating radar; Engineering; Geology; Structural engineering; Algorithm; Mathematics; Electrical engineering; Mathematical analysis","score_opus":0.02544907263018895,"score_gpt":0.27119448073587343,"score_spread":0.2457454081056845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1493916601","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26899636,0.00023454808,0.71762997,0.0001588075,0.000046416768,0.000101971054,0.00068740436,0.00090302114,0.0112414425],"genre_scores_gemma":[0.95225513,0.00019256801,0.043429304,0.000025882022,0.000013000416,0.000100555524,0.00034651038,0.000051761304,0.0035852473],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986947,0.00003246035,0.0000064744795,0.000022710217,0.00004772687,0.000021240323],"domain_scores_gemma":[0.99985373,0.000050965642,0.00002571203,0.000036554415,0.00002232933,0.000010729312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010654687,0.00048139106,0.0004914709,0.0003233548,0.0002890126,0.0006178501,0.0007564833,0.0010506795,0.0012090569],"category_scores_gemma":[0.000475248,0.00025847225,0.00033641243,0.00039460612,0.00042895344,0.0006309854,0.000437936,0.0003561684,0.00033757446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016195485,0.000023391218,0.000728289,0.000026350417,0.0000070624615,0.000113502574,0.00004898852,0.9845537,0.009235279,0.0020308895,0.00016759947,0.0030488295],"study_design_scores_gemma":[0.00000683284,0.000029449864,0.00040420512,0.0000030886586,0.000005077852,0.000062414605,0.000029446523,0.9965528,0.0011374603,0.00092109555,0.00084282237,0.0000052141027],"about_ca_topic_score_codex":0.002633234,"about_ca_topic_score_gemma":0.0022088636,"teacher_disagreement_score":0.002633234,"about_ca_system_score_codex":0.0003356124,"about_ca_system_score_gemma":0.0005504193,"threshold_uncertainty_score":0.005235791},"labels":[],"label_agreement":null},{"id":"W1510549050","doi":"10.1520/jfs14642j","title":"Ground Penetrating Radar Surveys to Locate 1918 Spanish Flu Victims in Permafrost","year":2000,"lang":"en","type":"article","venue":"Journal of Forensic Sciences","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor; Geological Survey of Canada; Hospital for Sick Children; Research Canada","funders":"National Institute of Allergy and Infectious Diseases; National Cancer Institute","keywords":"Permafrost; Ground-penetrating radar; Poison control; Radar; Geology; Remote sensing; Forensic engineering; Engineering; Medical emergency; Medicine; Oceanography; Aerospace engineering","score_opus":0.02962735758439243,"score_gpt":0.2778401827710337,"score_spread":0.24821282518664123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1510549050","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986369,0.00009457797,0.00041639773,0.000030971627,0.000002194376,0.000023416054,0.000104468854,0.000005564856,0.00068556896],"genre_scores_gemma":[0.99596584,0.00019779129,0.0024420402,0.000045643574,0.000006842309,0.00002038418,0.0003795585,0.000003050705,0.0009387854],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99983776,0.00005045299,0.0000084576495,0.000021376673,0.00003570216,0.00004613334],"domain_scores_gemma":[0.9998192,0.00003405705,0.000052931115,0.0000134040565,0.000055752633,0.000024590243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037666035,0.00014507804,0.00009106774,0.0007076393,0.00026722153,0.0001682966,0.0002704833,0.00031765623,0.0004934549],"category_scores_gemma":[0.0007342156,0.00013259905,0.00006460231,0.0004455281,0.00019518276,0.00014538532,0.00022706676,0.00015044054,0.0002025332],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019041057,0.00012303518,0.9240229,0.00004730495,0.00002975887,0.0014541119,0.0027004841,0.0005610149,0.014865346,0.000064466774,0.0007987078,0.055142436],"study_design_scores_gemma":[0.000017492504,0.00035668767,0.99029434,0.000017295175,0.000012730971,0.0012726013,0.003999893,0.0008276198,0.0013667694,0.000035727746,0.0017935681,0.0000053455615],"about_ca_topic_score_codex":0.013119444,"about_ca_topic_score_gemma":0.030875007,"teacher_disagreement_score":0.013119444,"about_ca_system_score_codex":0.00017548302,"about_ca_system_score_gemma":0.00024732057,"threshold_uncertainty_score":0.026086211},"labels":[],"label_agreement":null},{"id":"W1511349677","doi":"10.1017/cbo9780511535628.014","title":"Arctic glaciers and ground-penetrating radar. Case study: Stagnation Glacier, Bylot Island, Canada","year":2008,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Glacier; Geology; Glacier mass balance; Arctic; Ground-penetrating radar; Glacier morphology; Tidewater glacier cycle; Climatology; Physical geography; Cirque glacier; Radar; Meteorology; Oceanography; Geography; Geomorphology; Cryosphere; Ice stream; Arctic ice pack; Sea ice; Antarctic sea ice; Engineering; Aerospace engineering","score_opus":0.017663908160832322,"score_gpt":0.1968725755767289,"score_spread":0.17920866741589658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1511349677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86095995,0.008515431,0.0027650907,0.0016350156,0.00008699363,0.00027957684,0.0016648236,0.00013767023,0.12395555],"genre_scores_gemma":[0.901725,0.0063191373,0.0076604774,0.00029133444,0.000028152952,0.00003994993,0.0012179214,0.000040926814,0.08267708],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9997222,0.000027594982,0.000007011656,0.00001910202,0.00012493844,0.000099220786],"domain_scores_gemma":[0.99982136,0.00003719478,0.000014072528,0.0000058404175,0.000088025125,0.00003343094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025626944,0.00053373864,0.0001992536,0.00078644755,0.0030774332,0.0012009592,0.00068516115,0.00058918213,0.0016782889],"category_scores_gemma":[0.00033255163,0.0001413883,0.00019178574,0.0029434243,0.00075832417,0.00032091507,0.00039912388,0.00028353577,0.0002509412],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006648933,0.00058838795,0.33566007,0.0011286624,0.00016104065,0.09303763,0.034702156,0.053378146,0.01569584,0.02396622,0.09161797,0.34939903],"study_design_scores_gemma":[0.000094116294,0.0004269642,0.39921388,0.00042303797,0.00016844516,0.016157659,0.10249289,0.019712973,0.0071392013,0.0027433562,0.4512694,0.00015811453],"about_ca_topic_score_codex":0.97268933,"about_ca_topic_score_gemma":0.9925759,"teacher_disagreement_score":0.02731067,"about_ca_system_score_codex":0.008508934,"about_ca_system_score_gemma":0.011565348,"threshold_uncertainty_score":0.06173694},"labels":[],"label_agreement":null},{"id":"W1517260484","doi":"","title":"ELECTRICAL ANISOTROPY AND BEDROCK FRACTURING: IS THERE A RELATIONSHIP BETWEEN THEM?","year":2000,"lang":"en","type":"article","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Bedrock; Geology; Outcrop; Classification of discontinuities; Groundwater; Ground-penetrating radar; Borehole; Azimuth; Gneiss; Shield; Anisotropy; Groundwater flow; Electrical conductor; Geomorphology; Seismology; Aquifer; Radar; Geometry; Geotechnical engineering; Petrology; Materials science; Physics; Optics","score_opus":0.027718899444855068,"score_gpt":0.25341563668345046,"score_spread":0.2256967372385954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1517260484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87988925,0.08729037,0.0036368154,0.012696536,0.00038121315,0.00006257284,0.0004539382,0.000083378865,0.015506036],"genre_scores_gemma":[0.97991174,0.01621653,0.00077647454,0.00056097715,0.0006404516,0.00001956346,0.00012127118,0.000013908655,0.0017389924],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99937624,0.00018317884,0.0000744838,0.00008353181,0.00011069915,0.00017193035],"domain_scores_gemma":[0.9918813,0.003377642,0.0033045132,0.00034984376,0.0005846011,0.0005021863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010056884,0.00047290063,0.0006304982,0.0014787137,0.00034032227,0.0014727876,0.000650765,0.001855761,0.007540205],"category_scores_gemma":[0.0068402523,0.00048034187,0.00058957003,0.0018662233,0.0025977644,0.0023394101,0.00057238044,0.0010579893,0.0010644651],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00085464114,0.00036871535,0.9319755,0.0003086789,0.00024432392,0.0020515271,0.00028053662,0.0002547885,0.0017181346,0.003202639,0.0006026655,0.058137897],"study_design_scores_gemma":[0.000040666968,0.00048766282,0.97895175,0.00022576166,0.00019654397,0.0076205865,0.0019184031,0.00071626744,0.00030803416,0.006425576,0.0030529182,0.000055893783],"about_ca_topic_score_codex":0.0025823433,"about_ca_topic_score_gemma":0.003307582,"teacher_disagreement_score":0.007540205,"about_ca_system_score_codex":0.00041601097,"about_ca_system_score_gemma":0.0005610109,"threshold_uncertainty_score":0.025224447},"labels":[],"label_agreement":null},{"id":"W1518106987","doi":"10.1109/mwsym.2015.7167031","title":"Reconstruction of non-simultaneous impulsive sources with superresolution in TLM by computational time reversal","year":2015,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Transmission-line matrix method; Time domain; Computer science; Computational electromagnetics; Space time; Algorithm; Extension (predicate logic); Matrix (chemical analysis); Transmission line; Transmission (telecommunications); Sequence (biology); Point (geometry); Maxwell's equations; SIGNAL (programming language); Signal processing; Spacetime; Microwave imaging; Microwave; Physics; Geometry; Mathematics; Electromagnetic field; Digital signal processing; Mathematical analysis; Computer vision; Telecommunications","score_opus":0.0054967411902291695,"score_gpt":0.21172671767953566,"score_spread":0.2062299764893065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1518106987","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009853309,0.000040843315,0.98938984,0.000050987095,0.0000122242245,0.0000085153,0.000014504946,0.000098459575,0.0005313127],"genre_scores_gemma":[0.24268496,0.00022680723,0.75487906,0.000058056135,0.000023718841,0.000040894054,0.0001104247,0.000094188224,0.0018818516],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999853,0.000037320035,0.000008615945,0.000020956433,0.000070760085,0.00000927282],"domain_scores_gemma":[0.99958116,0.00017554706,0.000077842466,0.00009153908,0.000056173314,0.000017779335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047089174,0.00038315955,0.00024801836,0.0003199781,0.00011613166,0.00061481964,0.00057988026,0.0004274776,0.0009528747],"category_scores_gemma":[0.0014746309,0.00026188078,0.0003566079,0.00038785918,0.00042184786,0.0009296364,0.00060793455,0.0008042043,0.00026206687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001722246,0.00005361604,0.0009966074,0.00019744631,0.00005331932,0.00048610527,0.0002833039,0.62912226,0.12003736,0.10203905,0.0011829053,0.14537574],"study_design_scores_gemma":[0.000004924573,0.000015992711,0.00008986696,0.0000048867673,0.0000037194866,0.00009450232,0.000018735931,0.9846651,0.00856388,0.0051440746,0.0013873584,0.0000069553466],"about_ca_topic_score_codex":0.00065991614,"about_ca_topic_score_gemma":0.001032266,"teacher_disagreement_score":0.0009528747,"about_ca_system_score_codex":0.00024762118,"about_ca_system_score_gemma":0.00035518422,"threshold_uncertainty_score":0.0031876564},"labels":[],"label_agreement":null},{"id":"W152076121","doi":"","title":"Vineyard soil water content: mapping small-scale variability usingground penetrating radar","year":2003,"lang":"en","type":"article","venue":"Geoscience Canada","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vineyard; Ground-penetrating radar; Scale (ratio); Remote sensing; Environmental science; Soil science; Geology; Radar; Geography; Cartography; Computer science; Archaeology","score_opus":0.028041090436157323,"score_gpt":0.20002188056601405,"score_spread":0.17198079012985673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W152076121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967438,0.000110815585,0.0018867479,0.000014628639,0.0000036963897,0.000006055558,0.0003596196,0.00007820994,0.0007965087],"genre_scores_gemma":[0.99678934,0.00008571056,0.0021327378,0.0000051547177,0.0000022683753,0.000003851607,0.0004444511,0.000019618174,0.00051689666],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988794,0.000008387196,0.0000026883229,0.000048082504,0.00003016885,0.000022632628],"domain_scores_gemma":[0.99987364,0.000031058018,0.000018282757,0.000009793178,0.00004638346,0.000020894344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015021651,0.0002548251,0.00033516827,0.0006623836,0.00031048764,0.0006110261,0.00039323283,0.0002574145,0.0004085631],"category_scores_gemma":[0.0002426237,0.00020985809,0.00016152949,0.0010547965,0.00013971864,0.00038334168,0.00021115207,0.00020012735,0.00010961693],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00094357255,0.0003125547,0.6350826,0.00010229716,0.00031448502,0.00037509124,0.0006451196,0.020675808,0.21827362,0.00031306635,0.0013696128,0.12159216],"study_design_scores_gemma":[0.00002743654,0.000060325085,0.929363,0.0000061072074,0.00006249535,0.000101563186,0.0002701925,0.058663636,0.010332973,0.00010113222,0.0009910155,0.000020069268],"about_ca_topic_score_codex":0.1584157,"about_ca_topic_score_gemma":0.26830876,"teacher_disagreement_score":0.8415843,"about_ca_system_score_codex":0.000630387,"about_ca_system_score_gemma":0.0004857217,"threshold_uncertainty_score":0.31498724},"labels":[],"label_agreement":null},{"id":"W152139545","doi":"10.5006/c2000-00139","title":"Fit-for-Purpose Materials Testing for Sour Gas Service","year":2000,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Shell (Canada)","funders":"","keywords":"Sour gas; Service (business); Materials science; Engineering; Forensic engineering; Computer science; Process engineering; Waste management; Natural gas; Business","score_opus":0.051276848671194475,"score_gpt":0.2866306003441745,"score_spread":0.23535375167298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W152139545","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69762564,0.0025673904,0.24567646,0.0008956433,0.0007157528,0.0015489171,0.0020280387,0.008238508,0.040703587],"genre_scores_gemma":[0.84086686,0.00062466663,0.14031357,0.0003821846,0.000075118114,0.00057433115,0.0014285514,0.0005561024,0.01517862],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9955473,0.0009512323,0.0002809,0.00024163445,0.0027979584,0.0001809479],"domain_scores_gemma":[0.9946485,0.0007567088,0.0003965498,0.000814345,0.0031356243,0.00024833257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029161673,0.00088027696,0.00062957883,0.0021294034,0.0008385685,0.0006999633,0.0012434473,0.001298504,0.009445266],"category_scores_gemma":[0.0054685324,0.00033755967,0.0005241435,0.00088043005,0.00048119266,0.0008574855,0.00089678675,0.0004102626,0.003265524],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010943982,0.00045762054,0.030808514,0.00086995884,0.000050712337,0.0009443016,0.00037930583,0.0022851478,0.76071936,0.0022428208,0.007851512,0.19229636],"study_design_scores_gemma":[0.00011337051,0.0031440041,0.052782807,0.00014452568,0.00010267373,0.0025734075,0.0005320584,0.013518327,0.878381,0.0013224134,0.047280956,0.00010440136],"about_ca_topic_score_codex":0.0009055837,"about_ca_topic_score_gemma":0.0035167465,"teacher_disagreement_score":0.009445266,"about_ca_system_score_codex":0.00040987678,"about_ca_system_score_gemma":0.0007025861,"threshold_uncertainty_score":0.031597614},"labels":[],"label_agreement":null},{"id":"W1522527308","doi":"","title":"15N Characterization of Landfill Nitrogen and its Application to Fingerprint Landfill-Leachate in Contaminated Groundwater and Surface water","year":2011,"lang":"en","type":"article","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Nuclear Waste Management Organization","funders":"","keywords":"Leachate; Groundwater; Contamination; Environmental science; Environmental chemistry; Ammonium; Surface water; Plume; Ammoniacal nitrogen; Environmental engineering; Waste management; Chemistry; Geology; Ecology; Geotechnical engineering; Wastewater","score_opus":0.017152196294048596,"score_gpt":0.22148500525550258,"score_spread":0.20433280896145398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1522527308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950597,0.00031675535,0.0037503194,0.000013197158,0.000003472691,0.000010725602,0.00011481378,0.000023480101,0.00070755533],"genre_scores_gemma":[0.98998266,0.0002470776,0.008867107,0.000012204563,0.000002483462,0.000015348003,0.00011899088,0.000006850123,0.0007472727],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99984944,0.00003105137,0.000008559291,0.00003861267,0.000051859868,0.000020410045],"domain_scores_gemma":[0.99991024,0.000014402376,0.00002378249,0.000008721157,0.00003215121,0.0000106603475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003333169,0.00018624299,0.00020493947,0.0006177977,0.00024480608,0.00020770084,0.00016236721,0.00025286834,0.0004209456],"category_scores_gemma":[0.0002759947,0.000100911064,0.00012536057,0.00038837607,0.00028406773,0.00017289932,0.00024010932,0.000081080136,0.000071772396],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022152328,0.00001966373,0.020658016,0.00006221065,0.000010015932,0.0000781857,0.00016054019,0.0004304536,0.9675598,0.0001098375,0.000018763367,0.010670852],"study_design_scores_gemma":[0.000010519641,0.00032977693,0.06879348,0.000012105677,0.000018832829,0.00045116787,0.0003460947,0.0046024653,0.9229057,0.00022984341,0.0022818388,0.000018162205],"about_ca_topic_score_codex":0.0036825517,"about_ca_topic_score_gemma":0.0066304826,"teacher_disagreement_score":0.0036825517,"about_ca_system_score_codex":0.00028784253,"about_ca_system_score_gemma":0.0003267574,"threshold_uncertainty_score":0.007322252},"labels":[],"label_agreement":null},{"id":"W1523640152","doi":"","title":"Caractérisation du coefficient de rétrodiffusion radar des surfaces d'hydrocarbure modélisation et interprétation","year":2006,"lang":"fr","type":"article","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Chemistry","score_opus":0.009625052689822517,"score_gpt":0.20994204113106937,"score_spread":0.20031698844124685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1523640152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5121309,0.00069146825,0.47684276,0.00022019498,0.00007679553,0.00007337097,0.0008882753,0.0030816991,0.0059944834],"genre_scores_gemma":[0.9285269,0.00059087627,0.06570204,0.000043827964,0.0000110873425,0.000057753685,0.00089825474,0.00024371763,0.003925596],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997652,0.000024017,0.000008853842,0.000064751286,0.00010513821,0.000032031294],"domain_scores_gemma":[0.9995425,0.00014558269,0.000047544567,0.00005464758,0.00019356167,0.00001628959],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041955052,0.00077755714,0.00047384866,0.000853514,0.00016895229,0.0010498341,0.00055821677,0.00060746423,0.0019178953],"category_scores_gemma":[0.0011019207,0.00031612633,0.00058377377,0.0007316993,0.00025053098,0.0006331444,0.00033034667,0.00062771013,0.0007366935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003025856,0.000095675714,0.025873967,0.0005046906,0.00009438114,0.00033889996,0.000515568,0.52589023,0.28312925,0.0027797138,0.0025405176,0.15793446],"study_design_scores_gemma":[0.000012822213,0.000054166972,0.018903816,0.000032415228,0.000025178406,0.00013856248,0.00014114118,0.9175251,0.059316657,0.0007173546,0.0030874012,0.000045378605],"about_ca_topic_score_codex":0.008559096,"about_ca_topic_score_gemma":0.0041635726,"teacher_disagreement_score":0.008559096,"about_ca_system_score_codex":0.0004021803,"about_ca_system_score_gemma":0.0005054618,"threshold_uncertainty_score":0.017018557},"labels":[],"label_agreement":null},{"id":"W1524639555","doi":"","title":"Programas de documentos vitales y de recuperación de documentos afectados por desastres en archivos","year":2011,"lang":"es","type":"article","venue":"Dialnet (Universidad de la Rioja)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.009673388734214302,"score_gpt":0.26810575788536484,"score_spread":0.25843236915115053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1524639555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3656695,0.0032584271,0.36437783,0.007027489,0.0005083525,0.005697441,0.028972823,0.028352218,0.19613594],"genre_scores_gemma":[0.47401583,0.0026347195,0.37303647,0.00038824367,0.00014613444,0.0028284024,0.022884091,0.0026456646,0.12142039],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99584657,0.001165914,0.0004071006,0.00075871166,0.0014683483,0.00035333505],"domain_scores_gemma":[0.97852284,0.0068081664,0.002388351,0.004428312,0.006385469,0.0014668751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070696445,0.0006216384,0.00042983392,0.00850687,0.0025857768,0.0046418966,0.0013784742,0.0008753918,0.012037254],"category_scores_gemma":[0.021062002,0.00047615173,0.0006355367,0.009044158,0.0016391191,0.0034274764,0.0034802062,0.0010833261,0.0037150402],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069894834,0.00054117147,0.038428254,0.0019112596,0.000083550236,0.0003000723,0.017733628,0.0072558317,0.01593018,0.03363959,0.03875168,0.8447258],"study_design_scores_gemma":[0.00020298302,0.0007667106,0.13324317,0.0015071497,0.00024883533,0.00065623055,0.02195861,0.03016646,0.052901138,0.028686248,0.7293709,0.00029160935],"about_ca_topic_score_codex":0.05609719,"about_ca_topic_score_gemma":0.06746632,"teacher_disagreement_score":0.05609719,"about_ca_system_score_codex":0.0040150746,"about_ca_system_score_gemma":0.012570019,"threshold_uncertainty_score":0.11154133},"labels":[],"label_agreement":null},{"id":"W1530760391","doi":"10.1029/2010gl044852","title":"Geostatistical inversion of seismic and ground‐penetrating radar reflection images: What can we actually resolve?","year":2010,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Ground-penetrating radar; Geology; Inversion (geology); Reflection (computer programming); Radar; Seismic inversion; Seismology; Geophysics; Remote sensing; Geodesy; Geometry; Azimuth; Computer science; Mathematics","score_opus":0.032298459757026894,"score_gpt":0.3283649321543277,"score_spread":0.29606647239730083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1530760391","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14097819,0.010409148,0.8246481,0.02000252,0.00022690203,0.0000368064,0.00025753753,0.0007252163,0.002715544],"genre_scores_gemma":[0.83370996,0.011253307,0.15136163,0.0013748022,0.00067687273,0.000056738154,0.00030366547,0.00012415228,0.0011389046],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928695,0.0003588419,0.00003849648,0.000055395507,0.00018713038,0.00007326111],"domain_scores_gemma":[0.99455243,0.0035380104,0.00074209727,0.0005336012,0.0004741717,0.00015979251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044503147,0.0006698278,0.0009281178,0.0007491458,0.00017172753,0.0016015406,0.0011896244,0.0015171784,0.0005684304],"category_scores_gemma":[0.026232587,0.00052509934,0.0003943656,0.0012681234,0.0019828272,0.0040831957,0.0010354592,0.0010228982,0.00047523985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029334275,0.00027746396,0.028996639,0.0011857268,0.00037350054,0.0004974904,0.0006157698,0.15772033,0.018916652,0.12862064,0.009523604,0.6529789],"study_design_scores_gemma":[0.00006224146,0.000077124765,0.0073807063,0.00018193116,0.00006204819,0.00039837038,0.0006229764,0.75219876,0.0055529885,0.22828658,0.0050965324,0.00007971637],"about_ca_topic_score_codex":0.0027854883,"about_ca_topic_score_gemma":0.0021691984,"teacher_disagreement_score":0.0044503147,"about_ca_system_score_codex":0.00035314707,"about_ca_system_score_gemma":0.0014947626,"threshold_uncertainty_score":0.023535848},"labels":[],"label_agreement":null},{"id":"W1553179708","doi":"10.1029/gm011p0169","title":"Techniques of Groundwater Tracing Using Radionuclides","year":2011,"lang":"en","type":"book-chapter","venue":"Geophysical monograph","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Atomic Energy (Canada)","funders":"","keywords":"Radionuclide; Tracing; Groundwater; Environmental science; Geology; Hydrology (agriculture); Computer science; Physics; Nuclear physics; Geotechnical engineering","score_opus":0.03247024932295121,"score_gpt":0.2394566642028341,"score_spread":0.2069864148798829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1553179708","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023602573,0.0620659,0.66646576,0.0010698409,0.0018585703,0.00013744373,0.000584766,0.0016033066,0.26385415],"genre_scores_gemma":[0.019965814,0.10513272,0.3960175,0.0004618184,0.00057838723,0.00016135002,0.0010563217,0.0007803017,0.4758458],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99974126,0.00002018688,0.000009400026,0.000046829307,0.00017047103,0.000011899668],"domain_scores_gemma":[0.9998455,0.00006771882,0.0000061902524,0.000030416648,0.000044718578,0.000005451054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026513523,0.0012107914,0.00073965755,0.0024593838,0.00046997354,0.0014312514,0.001647032,0.0009009392,0.015647417],"category_scores_gemma":[0.0004342201,0.00065097754,0.0006499983,0.002767734,0.0011602936,0.0021869119,0.00095029577,0.0019336831,0.0102974875],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026905414,0.000036234935,0.00014577231,0.0008190865,0.000017037837,0.0001157133,0.00022426558,0.0027537316,0.03102102,0.1400017,0.04238099,0.7824576],"study_design_scores_gemma":[0.0000052231912,0.000034950244,0.00033935515,0.0002199225,0.000024715033,0.0009127151,0.00007395185,0.0041659595,0.026600368,0.050857246,0.91672456,0.000041057374],"about_ca_topic_score_codex":0.0010049945,"about_ca_topic_score_gemma":0.00211532,"teacher_disagreement_score":0.015647417,"about_ca_system_score_codex":0.0007001434,"about_ca_system_score_gemma":0.0008359517,"threshold_uncertainty_score":0.052345812},"labels":[],"label_agreement":null},{"id":"W1554145794","doi":"10.1109/ccst.2004.1405385","title":"Intellifiber/sup TM/ fence sensor installation on alternative fence constructions","year":2005,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Senstar (Canada)","funders":"","keywords":"Fence (mathematics); Computer science; Microphonics; Telecommunications; Engineering; Electrical engineering; Structural engineering","score_opus":0.018680059736817637,"score_gpt":0.26246577638745716,"score_spread":0.24378571665063953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1554145794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.909117,0.00070996716,0.0627471,0.00020670643,0.00024174682,0.00024244685,0.001499781,0.003544437,0.021690708],"genre_scores_gemma":[0.8987098,0.00042389552,0.08088865,0.00019640669,0.000027935512,0.000115049785,0.0011478212,0.000249187,0.018241303],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989525,0.00006980125,0.00004625869,0.00031291912,0.00046927258,0.00014925654],"domain_scores_gemma":[0.998909,0.00016192195,0.00020031355,0.00015515849,0.00051700877,0.000056645247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005353811,0.0009351288,0.00055273256,0.0006793824,0.00028967796,0.00046604575,0.0014091395,0.00096690987,0.0066807335],"category_scores_gemma":[0.0011319473,0.00040088673,0.00037533214,0.0005509114,0.0003553292,0.0015645094,0.00050717563,0.00053621223,0.0015634163],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009882336,0.00015085592,0.024678173,0.0006544726,0.00005188789,0.0011878827,0.000641327,0.0033608433,0.77326024,0.0009023973,0.005544363,0.18857928],"study_design_scores_gemma":[0.00003271268,0.0020916078,0.05306548,0.000107950975,0.00011142657,0.0016554669,0.00057496375,0.014371403,0.8885601,0.00023386157,0.039078172,0.000116914],"about_ca_topic_score_codex":0.0018168748,"about_ca_topic_score_gemma":0.0041623823,"teacher_disagreement_score":0.0066807335,"about_ca_system_score_codex":0.00057876186,"about_ca_system_score_gemma":0.0003850901,"threshold_uncertainty_score":0.022349238},"labels":[],"label_agreement":null},{"id":"W1555599022","doi":"10.5006/c2004-04167","title":"Prevention of Pipeline Failures in Geotechnically Unstable Areas by Monitoring with Inertial and Caliper In-line Inspection","year":2004,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Calgary Laboratory Services","funders":"","keywords":"Calipers; Pipeline (software); Accelerometer; Line (geometry); Pipeline transport; Forensic engineering; Computer science; Engineering; Mechanical engineering; Operating system; Mathematics","score_opus":0.008107481009124834,"score_gpt":0.2455433178014419,"score_spread":0.23743583679231706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1555599022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98141277,0.000089974834,0.015489741,0.000085255866,0.0000061258547,0.00006323804,0.00012514125,0.00041471276,0.0023131107],"genre_scores_gemma":[0.99342597,0.000062780666,0.0058388687,0.000008931662,0.0000033046865,0.000009331335,0.000084104,0.0000037908078,0.00056302844],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997228,0.000059454465,0.000012886804,0.000044963926,0.00011818477,0.00004165004],"domain_scores_gemma":[0.9989293,0.000078989855,0.00041426087,0.00006592175,0.0004425036,0.000068983616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020665683,0.00031287433,0.00015970545,0.00060771935,0.00024315102,0.000281562,0.0003391097,0.00016850117,0.00050914293],"category_scores_gemma":[0.0011767044,0.000105367966,0.00005831384,0.00041742457,0.00023381368,0.00024565178,0.00019944234,0.00009275938,0.0001326471],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005853375,0.0005409144,0.6525471,0.00014054345,0.000046647303,0.00028463863,0.00067530596,0.01792784,0.073740296,0.00017793162,0.0025664181,0.25076696],"study_design_scores_gemma":[0.000046999943,0.0011529344,0.9066764,0.000025684234,0.000064375185,0.0003839506,0.00072825555,0.04323958,0.044065412,0.00015410996,0.0034291039,0.000033285734],"about_ca_topic_score_codex":0.048898242,"about_ca_topic_score_gemma":0.09541818,"teacher_disagreement_score":0.048898242,"about_ca_system_score_codex":0.0006115854,"about_ca_system_score_gemma":0.00081091566,"threshold_uncertainty_score":0.097227275},"labels":[],"label_agreement":null},{"id":"W1559215264","doi":"10.4401/ag-3426","title":"Coherent noise attenuation in GPR data by linear and parabolic Radon Transform techniques","year":2003,"lang":"en","type":"article","venue":"Annals of Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Alberta","keywords":"Ground-penetrating radar; Attenuation; Noise (video); Acoustics; Geology; Radon; Reflection (computer programming); Time domain; Offset (computer science); Seismology; Radon transform; Diffraction; Computer science; Radar; Optics; Physics; Telecommunications; Artificial intelligence","score_opus":0.060172620882232075,"score_gpt":0.33140565937833993,"score_spread":0.27123303849610786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1559215264","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05499333,0.00072749576,0.94234115,0.000080585785,0.00004661955,0.000045739915,0.0000528039,0.0005370713,0.0011751879],"genre_scores_gemma":[0.30665585,0.0024847563,0.6860103,0.0001050332,0.00012692255,0.000109857916,0.000492507,0.00026127818,0.0037534805],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99881774,0.00032099927,0.000070315684,0.00022996291,0.00048235976,0.0000785342],"domain_scores_gemma":[0.9985678,0.0006513677,0.0002181486,0.00023814807,0.0002945317,0.000029944033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014861206,0.0008995064,0.0005692336,0.0010135695,0.00019603212,0.0007228243,0.00080844364,0.0007746233,0.0009581576],"category_scores_gemma":[0.0059200083,0.0004250855,0.0008851253,0.0017298426,0.00068789674,0.0016901579,0.0009561969,0.00088714494,0.0010577327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011078444,0.0002559353,0.004305032,0.00062606554,0.00015272282,0.000651189,0.0006464813,0.04624592,0.27191043,0.010571126,0.0010276412,0.66249967],"study_design_scores_gemma":[0.00011083236,0.0012115526,0.011404717,0.00010880814,0.0004140018,0.0031107103,0.00033571955,0.5840089,0.38268325,0.005913171,0.010543087,0.00015523165],"about_ca_topic_score_codex":0.00053745747,"about_ca_topic_score_gemma":0.00055498694,"teacher_disagreement_score":0.0014861206,"about_ca_system_score_codex":0.00020545795,"about_ca_system_score_gemma":0.0003280184,"threshold_uncertainty_score":0.007859468},"labels":[],"label_agreement":null},{"id":"W1559278381","doi":"10.1109/dcoss.2015.41","title":"Sensor Node to Improve Resiliency and Monitoring in Smart Grids: Taking the Lab to Field in Industry","year":2015,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Software deployment; Analytics; Electricity; Resilience (materials science); Computer science; Field (mathematics); Smart grid; Wireless sensor network; Computer security; Data science; Risk analysis (engineering); Engineering; Business; Electrical engineering; Computer network","score_opus":0.031602641165117504,"score_gpt":0.30498042071691606,"score_spread":0.27337777955179854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1559278381","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26697257,0.019749423,0.57765937,0.032569975,0.002810564,0.0010199783,0.0006258963,0.009756516,0.08883574],"genre_scores_gemma":[0.6928869,0.01052214,0.26425153,0.0022997998,0.0003488374,0.00028339407,0.00039122405,0.00026987522,0.02874639],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996736,0.00009794801,0.000013538995,0.000046243367,0.00013508061,0.00003350512],"domain_scores_gemma":[0.9992304,0.00016622871,0.000043307104,0.00012626093,0.00033407056,0.00009958643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001180611,0.00049704645,0.0003353749,0.00039466796,0.00039792125,0.00084660965,0.00066595356,0.00080374,0.004609189],"category_scores_gemma":[0.0014089409,0.00020863628,0.00019562042,0.00046791264,0.00040803786,0.0025605008,0.00079390954,0.0006645506,0.0011670903],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004066702,0.0006299629,0.008540591,0.000604164,0.000060799666,0.00021292141,0.00041913937,0.018069055,0.09848261,0.020263126,0.033776987,0.8185339],"study_design_scores_gemma":[0.00043886533,0.006226625,0.014584109,0.00076109654,0.00023838041,0.00091002765,0.0026772309,0.2905634,0.21334654,0.039216876,0.430833,0.00020392507],"about_ca_topic_score_codex":0.0010259486,"about_ca_topic_score_gemma":0.0019405762,"teacher_disagreement_score":0.004609189,"about_ca_system_score_codex":0.00039464785,"about_ca_system_score_gemma":0.000862238,"threshold_uncertainty_score":0.015419304},"labels":[],"label_agreement":null},{"id":"W1572439542","doi":"10.1002/ppp.1846","title":"Internal Structure and Composition of a Rock Glacier in the Dry Andes, Inferred from Ground‐penetrating Radar Data and its Artefacts","year":2015,"lang":"en","type":"article","venue":"Permafrost and Periglacial Processes","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Fondo Nacional de Desarrollo Científico y Tecnológico","keywords":"Geology; Rock glacier; Glacier; Ground-penetrating radar; Geomorphology; Glacier morphology; Permafrost; Glacier ice accumulation; Radar; Mineralogy; Ice stream; Climatology; Cryosphere; Oceanography","score_opus":0.03818769504483329,"score_gpt":0.2855288948029884,"score_spread":0.24734119975815508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1572439542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999313,0.000036651516,0.00006118127,0.000004127391,5.547286e-7,0.0000029003486,0.0001707888,0.000005157827,0.00040564212],"genre_scores_gemma":[0.9994679,0.000027515838,0.00009844567,0.0000023296034,0.0000011602533,0.000002986299,0.0002432602,0.000003108412,0.00015317989],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99990773,0.000011590875,0.000008985738,0.000029297786,0.000019946323,0.000022523905],"domain_scores_gemma":[0.99970704,0.000069870366,0.00008867121,0.00003840593,0.000055634267,0.000040277257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024671623,0.00019926821,0.00023835142,0.0019496861,0.00030081274,0.000712202,0.0002725293,0.00021838758,0.0007836916],"category_scores_gemma":[0.0006016639,0.0001689478,0.00020728298,0.0012411027,0.0006268092,0.00021990348,0.0005251717,0.00014301432,0.0002339515],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001401877,0.000027196951,0.96195924,0.000072005365,0.000078448735,0.00056841737,0.0013809915,0.0013021643,0.02622476,0.000084734136,0.00011545666,0.008046407],"study_design_scores_gemma":[0.0000033114834,0.000010981715,0.9988393,0.000004243748,0.000006899815,0.000071313865,0.00028754128,0.000404884,0.00019361135,0.00001122352,0.00016349598,0.000003126453],"about_ca_topic_score_codex":0.014472125,"about_ca_topic_score_gemma":0.013200554,"teacher_disagreement_score":0.014472125,"about_ca_system_score_codex":0.00033709002,"about_ca_system_score_gemma":0.00021265082,"threshold_uncertainty_score":0.028775752},"labels":[],"label_agreement":null},{"id":"W1573168017","doi":"","title":"Stored grain spoilage monitoring via 3D electromagnetic imaging","year":2015,"lang":"en","type":"article","venue":"European Conference on Antennas and Propagation","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Research Manitoba; University of Manitoba","funders":"","keywords":"Food spoilage; Silo; Materials science; Computer science; Mechanical engineering; Engineering; Biology","score_opus":0.03127602893781231,"score_gpt":0.24994914053165193,"score_spread":0.21867311159383962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1573168017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8731441,0.0002867987,0.1214067,0.0000968308,0.000033729986,0.000050565315,0.00070474297,0.0012409807,0.0030355589],"genre_scores_gemma":[0.9464939,0.00016464175,0.051886596,0.00003553192,0.000007782278,0.00002425596,0.0003036192,0.000044379038,0.0010393189],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998368,0.000020322852,0.0000057937305,0.000027946748,0.000087133725,0.000021873653],"domain_scores_gemma":[0.999713,0.000079082434,0.000071740105,0.000032714746,0.0000849744,0.000018518698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016613967,0.00029930085,0.00030629738,0.0006753455,0.00013555064,0.00043195605,0.0003452846,0.00038729055,0.0007648261],"category_scores_gemma":[0.00033938885,0.00020006705,0.00018358177,0.00055376714,0.00021950922,0.00032883434,0.0002723124,0.00024351919,0.00019562563],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052441907,0.00008247851,0.014959248,0.0001782542,0.000048363036,0.00036616396,0.00028818514,0.017169332,0.9036165,0.00033217657,0.0007327506,0.061702143],"study_design_scores_gemma":[0.000043209595,0.0004927562,0.06879428,0.0000310829,0.00008322476,0.0011061482,0.00029380686,0.18780868,0.7360906,0.00042068056,0.0047126864,0.00012282978],"about_ca_topic_score_codex":0.0009104117,"about_ca_topic_score_gemma":0.00196711,"teacher_disagreement_score":0.0009104117,"about_ca_system_score_codex":0.00018836914,"about_ca_system_score_gemma":0.00017122769,"threshold_uncertainty_score":0.002558589},"labels":[],"label_agreement":null},{"id":"W1577992273","doi":"10.1002/arp.1433","title":"City Map of Ancient<i>Epomanduodurum</i>(Mandeure–Mathay, Franche‐Comté, Eastern France): Contribution of Geophysical Prospecting Techniques","year":2012,"lang":"en","type":"article","venue":"Archaeological Prospection","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geophysical survey; Archaeology; Geophysical prospecting; Human settlement; Ground-penetrating radar; Ancient city; Excavation; Geology; Quarter (Canadian coin); Magnetic survey; Prospecting; Meander (mathematics); Geography; Geophysics; Magnetic anomaly; Radar; Mining engineering","score_opus":0.01335032942624662,"score_gpt":0.2553950935377584,"score_spread":0.2420447641115118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1577992273","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94706935,0.0009058945,0.0049637333,0.00020281553,0.000030801304,0.00009558882,0.010002372,0.00036332512,0.036366105],"genre_scores_gemma":[0.98191696,0.00025124842,0.00614435,0.000016352798,0.000010865588,0.000037686816,0.0036979134,0.000025048823,0.007899651],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99989855,0.000016303631,0.0000037602524,0.000026104113,0.000033930497,0.000021211345],"domain_scores_gemma":[0.99993527,0.00000930631,0.0000113114165,0.000010842331,0.000027226024,0.000006131931],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000111069785,0.00024150021,0.00015963482,0.0016114939,0.0003637199,0.0006206476,0.00015821957,0.00022310537,0.0031548385],"category_scores_gemma":[0.00015885569,0.00007850404,0.00016233718,0.0015165666,0.00022138114,0.00012611462,0.0003594922,0.000086194246,0.00069958216],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047452748,0.00017587775,0.42694262,0.00056416594,0.00017469515,0.0041918196,0.0033103323,0.027539583,0.04189503,0.0048480243,0.020201266,0.46968216],"study_design_scores_gemma":[0.000015045148,0.00003734133,0.9096312,0.000057961937,0.000018970572,0.00081138033,0.0014719786,0.0042612352,0.0026940196,0.00012804678,0.08084522,0.000027556702],"about_ca_topic_score_codex":0.048144404,"about_ca_topic_score_gemma":0.07508341,"teacher_disagreement_score":0.048144404,"about_ca_system_score_codex":0.0004959371,"about_ca_system_score_gemma":0.0005555652,"threshold_uncertainty_score":0.09572834},"labels":[],"label_agreement":null},{"id":"W1587539168","doi":"","title":"Application of Ground-Penetrating Radar to Mapping Archaeological Features at the Gould Site, Port au Choix","year":2005,"lang":"en","type":"article","venue":"Newfoundland and Labrador Studies","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Ground-penetrating radar; Excavation; Archaeology; Geology; Geophysical survey; Ground truth; Radar; Historic site; Feature (linguistics); Pace; Remote sensing; Seismology; Engineering; Geography; Computer science; Geophysics; Telecommunications; Geodesy","score_opus":0.020938937801576893,"score_gpt":0.28349258061885096,"score_spread":0.26255364281727406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1587539168","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99578816,0.000060231872,0.0008704107,0.00008119877,0.0000064314213,0.00008246638,0.00015076972,0.000030943003,0.0029293555],"genre_scores_gemma":[0.98706645,0.000180189,0.009882286,0.000047041704,0.0000044918147,0.000030390866,0.00017118607,0.000012134715,0.0026057442],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99980706,0.00002824181,0.000007266417,0.00002989528,0.00009751693,0.000030048574],"domain_scores_gemma":[0.99985814,0.00003771598,0.000016705926,0.000014388666,0.000045481578,0.000027500053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023105858,0.00023191584,0.0001136333,0.0008653933,0.0006360557,0.0005528042,0.00035535207,0.0003334933,0.00078967935],"category_scores_gemma":[0.000522178,0.00018019372,0.000116171424,0.0010549618,0.00047292045,0.0001820353,0.00046140328,0.00024265515,0.00015076365],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011509979,0.00079841126,0.4595132,0.00052649813,0.000078034274,0.030271366,0.021303387,0.01172071,0.21054702,0.0011709307,0.0047170757,0.25820246],"study_design_scores_gemma":[0.000043766,0.0005661843,0.9459049,0.00010270715,0.000032050346,0.0029529966,0.015361049,0.008797924,0.016525622,0.00015070375,0.009515414,0.000046719248],"about_ca_topic_score_codex":0.15994596,"about_ca_topic_score_gemma":0.42734692,"teacher_disagreement_score":0.84005404,"about_ca_system_score_codex":0.0008644999,"about_ca_system_score_gemma":0.00089620583,"threshold_uncertainty_score":0.31802994},"labels":[],"label_agreement":null},{"id":"W1590854920","doi":"10.5772/5409","title":"Mine-suspected Area Reduction Using Aerial and Satellite Images","year":2008,"lang":"en","type":"book-chapter","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Satellite; Reduction (mathematics); Remote sensing; Geography; Computer science; Environmental science; Computer vision; Engineering; Mathematics; Aerospace engineering; Geometry","score_opus":0.03194376482739454,"score_gpt":0.24228483475999082,"score_spread":0.21034106993259627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1590854920","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19315192,0.003809436,0.71340954,0.00057247106,0.00046046922,0.0006411635,0.00858013,0.009745903,0.06962899],"genre_scores_gemma":[0.42012417,0.0029387774,0.53073573,0.00018364127,0.00016844046,0.00017125478,0.01511261,0.00076769735,0.029797692],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996,0.000029169463,0.00001927741,0.00008831993,0.00022270472,0.000040490257],"domain_scores_gemma":[0.9997216,0.00003440881,0.00002705509,0.000052744854,0.00015144642,0.000012700168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002626219,0.000865052,0.00050496345,0.0036699364,0.0003123852,0.0010526056,0.0006510535,0.0005042631,0.0050239735],"category_scores_gemma":[0.0006552216,0.00032420488,0.00071020727,0.0017616802,0.00019531942,0.0007841024,0.0009388238,0.0003497317,0.0051099095],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010785573,0.00010683458,0.007503688,0.00033132365,0.00010894119,0.0003486763,0.00015013338,0.010696732,0.053087965,0.0012764403,0.020653432,0.90562797],"study_design_scores_gemma":[0.00008382102,0.00034504314,0.17934401,0.0003664589,0.00059066893,0.003948968,0.0019181435,0.52995247,0.13861917,0.009641449,0.13498761,0.00020221095],"about_ca_topic_score_codex":0.0036886255,"about_ca_topic_score_gemma":0.006986889,"teacher_disagreement_score":0.0050239735,"about_ca_system_score_codex":0.00019546603,"about_ca_system_score_gemma":0.0003943904,"threshold_uncertainty_score":0.0168069},"labels":[],"label_agreement":null},{"id":"W1601567170","doi":"10.5772/22533","title":"Heat Transfer for NDE: Landmine Detection","year":2011,"lang":"en","type":"book-chapter","venue":"InTech eBooks","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Heat transfer; Mechanics; Physics","score_opus":0.0341453112016761,"score_gpt":0.2456832392339806,"score_spread":0.2115379280323045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1601567170","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040921107,0.007165246,0.8702447,0.002080224,0.0013491105,0.00045414388,0.0022552123,0.0123553,0.063175],"genre_scores_gemma":[0.7249852,0.0032171202,0.19494934,0.000987757,0.00040225277,0.00048268033,0.0018999935,0.0008131974,0.07226249],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995059,0.000060448274,0.000012596357,0.0001311477,0.00025452685,0.000035392306],"domain_scores_gemma":[0.9995548,0.0001726104,0.00004330526,0.000058354344,0.0001539752,0.000017046143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042131997,0.0006286351,0.000538562,0.0006742197,0.00030709858,0.0010381255,0.0011577389,0.00097081915,0.020784838],"category_scores_gemma":[0.0012087604,0.00029215895,0.00035757673,0.0007467449,0.0004408556,0.0013135863,0.00089584483,0.00070809363,0.0063315225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063107756,0.00031336595,0.0064806314,0.0017827601,0.000079627345,0.00037835506,0.00027452223,0.0517027,0.17303813,0.012132033,0.0621602,0.6910265],"study_design_scores_gemma":[0.00006437305,0.00035533673,0.0066541126,0.00026942627,0.000060484886,0.00083237386,0.00031120746,0.58740044,0.23351188,0.016204532,0.15417309,0.00016278814],"about_ca_topic_score_codex":0.00093596306,"about_ca_topic_score_gemma":0.0009802053,"teacher_disagreement_score":0.020784838,"about_ca_system_score_codex":0.00077935716,"about_ca_system_score_gemma":0.00028639063,"threshold_uncertainty_score":0.069532156},"labels":[],"label_agreement":null},{"id":"W160733866","doi":"","title":"Through-The-Wall Surveillance","year":2002,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Clutter; Moving target indication; Radar; Computer science; Stationary target indication; Waveform; Computer vision; Artificial intelligence; Secondary surveillance radar; Acoustics; Echo (communications protocol); Antenna (radio); Continuous-wave radar; Ultra-wideband; Radar imaging; Telecommunications; Physics","score_opus":0.026838616778947062,"score_gpt":0.24103260500668203,"score_spread":0.21419398822773497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W160733866","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53040576,0.0043698316,0.19624782,0.00080084516,0.00080687186,0.0008821933,0.0028838976,0.003246793,0.26035607],"genre_scores_gemma":[0.8467641,0.0039086756,0.079299875,0.00014710012,0.000083436295,0.00013419714,0.0031415361,0.00013235508,0.066388704],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999613,0.000047729918,0.000015775468,0.00006334431,0.00017511088,0.00008504268],"domain_scores_gemma":[0.9996518,0.000040073734,0.00003501639,0.00006141988,0.0001607053,0.00005088712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002804785,0.0006159692,0.00041688854,0.0006246614,0.00067613565,0.0012662858,0.0009338439,0.00038586196,0.004048889],"category_scores_gemma":[0.00050191744,0.00017959405,0.00032740383,0.00039526817,0.00032188641,0.00071980216,0.0009435378,0.0003931511,0.0015954146],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010600007,0.00038338802,0.032901067,0.00061860256,0.00017659081,0.0014716948,0.0013376574,0.033104185,0.18738371,0.012102303,0.025787937,0.70367295],"study_design_scores_gemma":[0.00016192881,0.0022157596,0.06444372,0.00049637805,0.00041582139,0.00379128,0.0026835608,0.13933717,0.18732576,0.0024344793,0.5963634,0.00033064708],"about_ca_topic_score_codex":0.05090644,"about_ca_topic_score_gemma":0.09548695,"teacher_disagreement_score":0.05090644,"about_ca_system_score_codex":0.0014402487,"about_ca_system_score_gemma":0.0019366698,"threshold_uncertainty_score":0.10122031},"labels":[],"label_agreement":null},{"id":"W1628985879","doi":"10.1029/2008rs003878","title":"Preface to special section on 2007 International Ottawa Symposium on Electromagnetic Theory","year":2008,"lang":"en","type":"article","venue":"Radio Science","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Commission; Library science; Presentation (obstetrics); Electromagnetic radiation; European commission; Electromagnetics; Electromagnetic theory; Telecommunications; Computer science; Physics; Political science; Engineering physics; European union; Medicine; Law; Optics","score_opus":0.008118888513106519,"score_gpt":0.24003673456363614,"score_spread":0.23191784605052962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1628985879","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007964734,0.029235628,0.005747886,0.03669494,0.6393485,0.00035579244,0.002743553,0.00062048517,0.28445676],"genre_scores_gemma":[0.008166974,0.036191378,0.003030303,0.012230011,0.1589647,0.00020894966,0.00476847,0.00097349775,0.7754658],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99890876,0.00011648591,0.00006111192,0.0001818434,0.0005982481,0.00013357036],"domain_scores_gemma":[0.99617696,0.0003669561,0.00014150183,0.00017800822,0.0025077986,0.0006287205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013404372,0.0011396132,0.0009631329,0.002750867,0.0017179407,0.0027915465,0.0015206995,0.0022727272,0.20126463],"category_scores_gemma":[0.00412658,0.00037042986,0.0007628117,0.0014875308,0.0007381436,0.0024403424,0.0015245767,0.003351946,0.11228171],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014073992,0.000009363103,0.000049742273,0.0000740608,0.0000024060407,0.000024712383,0.00002026765,0.00004415415,0.00014083934,0.0026466956,0.9845338,0.012439893],"study_design_scores_gemma":[0.0000031633115,0.000016000022,0.0002660734,0.00014034312,0.00000508934,0.000059569596,0.000035018824,0.0001005623,0.00012270352,0.0018655896,0.9973768,0.000009046791],"about_ca_topic_score_codex":0.005393557,"about_ca_topic_score_gemma":0.009790877,"teacher_disagreement_score":0.20126463,"about_ca_system_score_codex":0.0031223805,"about_ca_system_score_gemma":0.0030259716,"threshold_uncertainty_score":0.6732973},"labels":[],"label_agreement":null},{"id":"W1632680364","doi":"10.14288/1.0052738","title":"Inversion of time domain electromagnetic data for the detection of Unexploded Ordnance","year":2011,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Unexploded ordnance; Geology; Inversion (geology); Time domain; Remote sensing; Computer science; Seismology; Computer vision","score_opus":0.017407255691257145,"score_gpt":0.17941493502014305,"score_spread":0.1620076793288859,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1632680364","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38318482,0.00035660746,0.61019117,0.00028930733,0.00005542807,0.000058710495,0.0004776144,0.0010619612,0.004324366],"genre_scores_gemma":[0.6494222,0.0005080035,0.34716108,0.000041751482,0.000025996027,0.0000385328,0.0007849818,0.00007126699,0.001946155],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99988556,0.000023965731,0.0000065818517,0.000020879374,0.00005012094,0.0000129852715],"domain_scores_gemma":[0.99954826,0.0001454811,0.00007531196,0.000067817135,0.0001443981,0.000018704628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033750755,0.00035055072,0.00022395745,0.0006770974,0.00015485784,0.0004960312,0.00033147764,0.0003083457,0.0006757987],"category_scores_gemma":[0.0014628022,0.00017402634,0.00024383608,0.0007647761,0.00020770142,0.0003914814,0.00024570894,0.00037391324,0.0003283372],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026633657,0.00016170238,0.029273868,0.00035844496,0.00010339629,0.00032674,0.0003707997,0.11928967,0.2656928,0.0065379697,0.0022062527,0.575412],"study_design_scores_gemma":[0.000032836026,0.00014583833,0.037282884,0.00005626238,0.000053183685,0.00042137346,0.00042262228,0.78989655,0.1570135,0.0047721583,0.009854834,0.000047989568],"about_ca_topic_score_codex":0.001009675,"about_ca_topic_score_gemma":0.0021581324,"teacher_disagreement_score":0.001009675,"about_ca_system_score_codex":0.00020827395,"about_ca_system_score_gemma":0.00039852923,"threshold_uncertainty_score":0.0022607446},"labels":[],"label_agreement":null},{"id":"W163566348","doi":"10.22260/isarc2013/0133","title":"Application of Ultra-Wide Band (UWB) Radar in Detecting Unexpected Utility Lines in Open Cut Operations","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Ground-penetrating radar; Radar; Computer science; Flooding (psychology); Engineering; Telecommunications","score_opus":0.016188917527099073,"score_gpt":0.2598761302537841,"score_spread":0.243687212726685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W163566348","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30399376,0.05482782,0.6012532,0.00066358305,0.0005318632,0.0002512327,0.00021078602,0.0009932837,0.037274454],"genre_scores_gemma":[0.78859216,0.026340134,0.17352033,0.00025023762,0.0001495178,0.000048081558,0.00020576725,0.00004425976,0.010849554],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996438,0.000102324695,0.000015941165,0.00007617648,0.00013701218,0.000024652187],"domain_scores_gemma":[0.9996126,0.00012570705,0.00006178894,0.000032404972,0.00015108963,0.000016311502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043870835,0.0003314704,0.00021280495,0.00072309544,0.00013902613,0.0005852752,0.0003655092,0.0006521593,0.00076658966],"category_scores_gemma":[0.00046068142,0.00013859662,0.00018048604,0.00062252564,0.0002667631,0.0005460021,0.00021499963,0.00026462332,0.00060140213],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023968735,0.000109590874,0.007583707,0.0011139845,0.00005516685,0.0010475221,0.00029598144,0.004516162,0.39155927,0.0014124013,0.0024029985,0.58966357],"study_design_scores_gemma":[0.00004332776,0.002923149,0.039274573,0.00044077425,0.00034676903,0.009177768,0.0015472256,0.03890951,0.79933095,0.0027674788,0.105099544,0.00013896932],"about_ca_topic_score_codex":0.00034516666,"about_ca_topic_score_gemma":0.0006054712,"teacher_disagreement_score":0.00076658966,"about_ca_system_score_codex":0.00015514871,"about_ca_system_score_gemma":0.00015308871,"threshold_uncertainty_score":0.0025644302},"labels":[],"label_agreement":null},{"id":"W164475709","doi":"10.1007/978-1-4419-9146-1_46","title":"Detection of Targets Behind Walls Using Ultra-Wideband Short Pulse","year":2003,"lang":"en","type":"book-chapter","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Department of National Defence","funders":"","keywords":"Radar; Bandwidth (computing); Ultra-wideband; Transmitter; Electronic engineering; Acoustics; Bistatic radar; Remote sensing; Computer science; Telecommunications; Engineering; Radar imaging; Physics; Geology","score_opus":0.02313505500007377,"score_gpt":0.2472217662431692,"score_spread":0.22408671124309543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W164475709","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026120253,0.0032384908,0.93395966,0.00026658806,0.00033290696,0.000028944496,0.00012818463,0.0013681714,0.034556877],"genre_scores_gemma":[0.23382318,0.0067446935,0.49823073,0.00044676164,0.0002795014,0.00007106031,0.0008430284,0.00049127423,0.2590699],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99984133,0.000010392564,0.0000035651774,0.000021061216,0.00010939046,0.00001420071],"domain_scores_gemma":[0.9998337,0.000081255974,0.00001241709,0.000020638714,0.00004300214,0.0000089452815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014575398,0.000595076,0.00047373713,0.00043713933,0.00019170932,0.00076362264,0.00069043785,0.0008117739,0.0037718748],"category_scores_gemma":[0.0002601311,0.0003667072,0.00025944848,0.00048150026,0.00034180674,0.00091366045,0.0006217894,0.0006081081,0.0028724351],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013251662,0.000035372308,0.00071609736,0.0002493106,0.00003672264,0.00022231888,0.0002393449,0.004678932,0.58697623,0.010820276,0.0069178655,0.38897496],"study_design_scores_gemma":[0.000021562355,0.00026898723,0.0038614848,0.00012128183,0.0000785647,0.0021693704,0.00036021223,0.08769102,0.77284086,0.023867639,0.10863665,0.00008227646],"about_ca_topic_score_codex":0.00023840596,"about_ca_topic_score_gemma":0.00066679856,"teacher_disagreement_score":0.0037718748,"about_ca_system_score_codex":0.00019800288,"about_ca_system_score_gemma":0.00019587725,"threshold_uncertainty_score":0.012618184},"labels":[],"label_agreement":null},{"id":"W1647166049","doi":"","title":"A Ground Penetrating Radar Lunar Analogue Field Campaign in the Haughton Impact Structure, Canada","year":2010,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ground-penetrating radar; Impact structure; Impact crater; Geology; Mars Exploration Program; Radar; Exploration of Mars; Remote sensing; Astrobiology; Engineering; Aerospace engineering","score_opus":0.009375468813006724,"score_gpt":0.24662749812308593,"score_spread":0.23725202931007922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1647166049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9753027,0.0002210872,0.00038720836,0.00019423323,0.000016381531,0.00019336698,0.0143607175,0.000031126583,0.0092932405],"genre_scores_gemma":[0.97057414,0.0002904532,0.0009487098,0.00017651351,0.000008032322,0.00006557719,0.010956384,0.000023916933,0.016956428],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977,0.000014254294,0.00000471982,0.000036508573,0.00010367852,0.000070784576],"domain_scores_gemma":[0.9996432,0.000015949718,0.00001399369,0.000012180304,0.00023742708,0.00007731946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001658652,0.00035467872,0.00032595094,0.0006851729,0.0020224508,0.000633621,0.00062540214,0.00028234939,0.0024306574],"category_scores_gemma":[0.00027451618,0.00021241735,0.00015816904,0.0013501716,0.0003891844,0.00019718314,0.00039181332,0.0004014217,0.0005454747],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002098584,0.00094645726,0.82608545,0.0001980249,0.0001939072,0.003127315,0.0066119577,0.0037532395,0.048161563,0.0015018829,0.033469383,0.07385223],"study_design_scores_gemma":[0.000033398395,0.00008182853,0.99023134,0.000011282946,0.000010480407,0.00006831621,0.0009716643,0.00057957263,0.0010687889,0.000026503458,0.006899643,0.000017242397],"about_ca_topic_score_codex":0.99181235,"about_ca_topic_score_gemma":0.99739957,"teacher_disagreement_score":0.009987483,"about_ca_system_score_codex":0.009987483,"about_ca_system_score_gemma":0.012747283,"threshold_uncertainty_score":0.072464645},"labels":[],"label_agreement":null},{"id":"W1657726692","doi":"10.1029/2001wr000923","title":"Radar frequency dielectric dispersion in sandstone: Implications for determination of moisture and clay content","year":2003,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":92,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dielectric; Saturation (graph theory); Water content; Mineralogy; Geology; Materials science; Clay minerals; Montmorillonite; Lithology; Permittivity; Dispersion (optics); Moisture; Geotechnical engineering; Composite material; Optics; Petrology","score_opus":0.05971579963578969,"score_gpt":0.337224259819425,"score_spread":0.2775084601836353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1657726692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991792,0.000059259044,0.00047118697,0.0000051642387,5.4458087e-7,0.000002416594,0.0000599303,0.0000069998196,0.0002152071],"genre_scores_gemma":[0.99926955,0.000048174497,0.0004657083,0.0000030492752,6.3496407e-7,0.0000015884422,0.0000757285,0.0000014634867,0.00013410741],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999423,0.000008310776,0.0000050385584,0.000014863251,0.000018984825,0.000010606142],"domain_scores_gemma":[0.9997193,0.00011068288,0.00006822773,0.000018375298,0.00005799459,0.000025354355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016379282,0.00015861096,0.00013401649,0.000828342,0.00013027048,0.00028533262,0.00012548281,0.00015764718,0.00046265364],"category_scores_gemma":[0.0007058679,0.0001692088,0.00008435379,0.00049234496,0.00019957038,0.00021084365,0.00019655524,0.00011710322,0.0001444275],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000261644,0.000036064655,0.52858055,0.000071769595,0.000030203088,0.00032716274,0.0004393227,0.0014478713,0.45672014,0.00008639456,0.00004210053,0.011956809],"study_design_scores_gemma":[0.000007447594,0.00012067748,0.9446287,0.000008004379,0.000019477176,0.0004462405,0.0002852784,0.004119019,0.049991153,0.00007697725,0.00028675274,0.000010306311],"about_ca_topic_score_codex":0.01015175,"about_ca_topic_score_gemma":0.015955692,"teacher_disagreement_score":0.01015175,"about_ca_system_score_codex":0.0002513909,"about_ca_system_score_gemma":0.00011081197,"threshold_uncertainty_score":0.020185292},"labels":[],"label_agreement":null},{"id":"W1659910464","doi":"10.1063/1.3117094","title":"Time Reversal Mirrors and Cross Correlation Functions in Acoustic Wave Propagation","year":2009,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Pacific Institute for the Mathematical Sciences; University of Calgary","keywords":"Planar; SIGNAL (programming language); Transducer; Acoustics; Physics; Signal processing; Modal; Symmetry (geometry); Function (biology); Limit (mathematics); Cross-correlation; Interferometry; Mathematical analysis; Optics; Mathematics; Computer science; Geometry; Telecommunications","score_opus":0.02180351000332903,"score_gpt":0.25721592937150245,"score_spread":0.23541241936817342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1659910464","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07895912,0.00446295,0.85598606,0.00061514246,0.00039637764,0.000088779554,0.00013000757,0.00029609192,0.059065375],"genre_scores_gemma":[0.6349143,0.0044848425,0.33618382,0.00056686124,0.00069768965,0.00028029573,0.00019790526,0.00038144982,0.022292927],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990231,0.00035077764,0.00005470608,0.0001965519,0.00027529793,0.00009956359],"domain_scores_gemma":[0.99819297,0.00089753297,0.00023995349,0.00030782208,0.00027905818,0.000082584214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027325074,0.00085049233,0.0004050549,0.0014802606,0.000646223,0.0019807213,0.0010183506,0.0014829781,0.0034499608],"category_scores_gemma":[0.0052738143,0.00041973192,0.0007161877,0.0011206768,0.0034280792,0.004056495,0.0015518973,0.002215794,0.0008852109],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000073402366,0.000008242514,0.000061629486,0.000019180967,0.0000017998353,0.000036467984,0.0000868584,0.0018696917,0.0012095434,0.9913254,0.0002270207,0.005146782],"study_design_scores_gemma":[0.000011272008,0.00009225508,0.00046878835,0.000034771656,0.0000072189778,0.00032939465,0.00011422834,0.100921184,0.0053165536,0.88506967,0.0075719603,0.00006273234],"about_ca_topic_score_codex":0.0009791435,"about_ca_topic_score_gemma":0.00037693008,"teacher_disagreement_score":0.0034499608,"about_ca_system_score_codex":0.0008878409,"about_ca_system_score_gemma":0.00059073436,"threshold_uncertainty_score":0.014451027},"labels":[],"label_agreement":null},{"id":"W1678021551","doi":"10.1007/s10040-009-0435-1","title":"A structural and geophysical approach to the study of fractured aquifers in the Scansano-Magliano in Toscana Ridge, southern Tuscany, Italy","year":2009,"lang":"en","type":"article","venue":"Hydrogeology Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"ASTER","funders":"","keywords":"Geology; Aquifer; Hydrogeology; Electrical resistivity tomography; Tectonics; Groundwater; Ground-penetrating radar; Ridge; Fault (geology); Alluvium; Aquifer properties; Geomorphology; Seismology; Geophysics; Radar; Geotechnical engineering; Groundwater recharge; Paleontology","score_opus":0.01103983108891789,"score_gpt":0.24321069656518207,"score_spread":0.23217086547626417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1678021551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966844,0.0001773614,0.0006534012,0.00011566823,0.000004268806,0.000043423723,0.0003005002,0.0000101809155,0.002010784],"genre_scores_gemma":[0.9978877,0.00015786411,0.0011904696,0.000013794131,0.000010496674,0.00003894338,0.00018322584,0.0000025639638,0.0005150213],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99980587,0.000043304986,0.00001226992,0.00004318242,0.000034854125,0.000060631446],"domain_scores_gemma":[0.99986136,0.000043325897,0.00003139474,0.0000132434,0.000024746507,0.000025870382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016296761,0.00025198053,0.00023954567,0.0028170992,0.0008646168,0.000694466,0.0010429467,0.00081943296,0.0018233889],"category_scores_gemma":[0.0004721455,0.00022304538,0.00031283585,0.0029686647,0.0012131776,0.0003723545,0.0010374883,0.0002571361,0.0001621455],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003016695,0.00053560693,0.8841428,0.0003435983,0.00015890134,0.004561596,0.003969111,0.030628135,0.015486195,0.0036179614,0.0005715533,0.055682976],"study_design_scores_gemma":[0.00002163498,0.000099581,0.9820447,0.000042996144,0.000022573606,0.00042114954,0.0034434777,0.011471732,0.0003243862,0.0008620027,0.0012312355,0.0000145662225],"about_ca_topic_score_codex":0.088221356,"about_ca_topic_score_gemma":0.1694787,"teacher_disagreement_score":0.088221356,"about_ca_system_score_codex":0.0015466389,"about_ca_system_score_gemma":0.0013320398,"threshold_uncertainty_score":0.17541575},"labels":[],"label_agreement":null},{"id":"W169289287","doi":"","title":"Near-surface imaging in frozen environments using GPR","year":2005,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ground-penetrating radar; Geology; Radar; Palaeochannel; Shoal; Remote sensing; Geomorphology; Mineralogy","score_opus":0.011495089703566563,"score_gpt":0.24869501531935398,"score_spread":0.23719992561578743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W169289287","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91246676,0.00040242408,0.08158839,0.00006152709,0.000020599151,0.000031894822,0.00016343103,0.000234315,0.0050307526],"genre_scores_gemma":[0.9580097,0.00042291824,0.03943814,0.000053425912,0.000015067344,0.000011622218,0.00022019945,0.000032845637,0.0017960821],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99988043,0.000028745815,0.00000362158,0.00002173972,0.00003865277,0.000026813243],"domain_scores_gemma":[0.9999248,0.0000207494,0.000010831789,0.000011517509,0.000024106133,0.0000080764385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020791897,0.00024017344,0.00018384452,0.00040771143,0.00013795712,0.00046994982,0.00026081034,0.00024544552,0.000620763],"category_scores_gemma":[0.00037840696,0.00016942028,0.000086298125,0.0003409783,0.00031696106,0.000540801,0.000555405,0.00017654774,0.00027948208],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005335818,0.00008383192,0.025481176,0.00022048234,0.00003834512,0.0036604824,0.0016623393,0.023928622,0.72697806,0.0022628908,0.0013943035,0.2137559],"study_design_scores_gemma":[0.00018990155,0.0018330959,0.28848514,0.000316414,0.00021715353,0.01582831,0.010684718,0.22282371,0.41884863,0.0098789595,0.030643858,0.0002501127],"about_ca_topic_score_codex":0.0017579618,"about_ca_topic_score_gemma":0.002638824,"teacher_disagreement_score":0.0017579618,"about_ca_system_score_codex":0.00012897304,"about_ca_system_score_gemma":0.0001288661,"threshold_uncertainty_score":0.0034955144},"labels":[],"label_agreement":null},{"id":"W170943749","doi":"","title":"Microwave Enhanced IR Detection of Landmines Using 915 MHz and 2450 MHz","year":2004,"lang":"en","type":"article","venue":"Defense Technical Information Center (DTIC)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Microwave; Infrared; Remote sensing; Clutter; Environmental science; Materials science; Superposition principle; Geology; Optics; Radar; Computer science; Physics; Telecommunications","score_opus":0.016438300315517376,"score_gpt":0.2506236719276133,"score_spread":0.23418537161209593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W170943749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95016974,0.0004988104,0.043225005,0.000051625542,0.000025323587,0.000050214017,0.00011348163,0.00028119507,0.005584603],"genre_scores_gemma":[0.9237967,0.00041419535,0.0714115,0.000083184874,0.00001018411,0.00003387301,0.0001291011,0.000026291891,0.004095042],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999665,0.00007980763,0.000010042777,0.00007240108,0.00012772903,0.000045021225],"domain_scores_gemma":[0.99981636,0.000057022487,0.000038766546,0.000015446096,0.00005453217,0.00001785508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041028278,0.00027663383,0.00015871444,0.00037800838,0.0001158125,0.0003133158,0.00039718338,0.00026069596,0.0013342401],"category_scores_gemma":[0.0003424343,0.0001491172,0.000133434,0.00037142847,0.00027798457,0.00026803577,0.000202062,0.00025906338,0.00027199535],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012860865,0.000029565017,0.0019148587,0.00005940742,0.000008368186,0.00009585791,0.00007125601,0.00031387227,0.9894749,0.00014987844,0.00008332943,0.0076701767],"study_design_scores_gemma":[0.000021400612,0.00049256155,0.01608629,0.000013869621,0.0000432489,0.0005320175,0.0002422288,0.0057168673,0.9738367,0.00007641464,0.002912052,0.000026323858],"about_ca_topic_score_codex":0.001487118,"about_ca_topic_score_gemma":0.003903553,"teacher_disagreement_score":0.001487118,"about_ca_system_score_codex":0.00024787724,"about_ca_system_score_gemma":0.00014085113,"threshold_uncertainty_score":0.004463494},"labels":[],"label_agreement":null},{"id":"W1742308188","doi":"10.1029/2011wr011414","title":"High‐resolution ground‐penetrating radar monitoring of soil moisture dynamics: Field results, interpretation, and comparison with unsaturated flow model","year":2012,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ground-penetrating radar; Vadose zone; Infiltration (HVAC); Water content; Geology; Soil science; Depth sounding; Moisture; Environmental science; Remote sensing; Radar; Hydrology (agriculture); Soil water; Meteorology; Geotechnical engineering","score_opus":0.03061463011284736,"score_gpt":0.3083671999620963,"score_spread":0.2777525698492489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1742308188","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990708,0.000028737852,0.0082176635,0.000014347599,0.00000236603,0.000017797036,0.00029023454,0.00023499358,0.00048584124],"genre_scores_gemma":[0.9933529,0.00003057727,0.0062389984,0.0000050560757,0.0000010509871,0.000010060511,0.00020974257,0.000011146087,0.00014048867],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998841,0.00002975108,0.0000067420146,0.00003369288,0.000031570016,0.000014035613],"domain_scores_gemma":[0.99976736,0.00008770565,0.000026400348,0.00005212991,0.000049674163,0.000016624563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000677394,0.00026944396,0.0002098571,0.00055289455,0.00012884742,0.000227036,0.00036239933,0.00022490026,0.0004602186],"category_scores_gemma":[0.00038723944,0.000116978226,0.00017828915,0.00045127815,0.00014406082,0.000478194,0.00016592136,0.0001384084,0.00010602278],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017372967,0.0017073231,0.16507742,0.00018563923,0.00013478598,0.00034566602,0.00045641276,0.27849102,0.3004332,0.0006613994,0.001217031,0.24955289],"study_design_scores_gemma":[0.0000915737,0.00091775623,0.22650346,0.000010226931,0.000051724634,0.00013629317,0.00021533381,0.7205136,0.050442897,0.00030819562,0.0007626133,0.000046334764],"about_ca_topic_score_codex":0.004066992,"about_ca_topic_score_gemma":0.0049051335,"teacher_disagreement_score":0.004066992,"about_ca_system_score_codex":0.00024138717,"about_ca_system_score_gemma":0.00015057574,"threshold_uncertainty_score":0.008086681},"labels":[],"label_agreement":null},{"id":"W1754752406","doi":"10.1520/stp14775s","title":"Pavement Characterization Using Ground Penetrating Radar: State of the Art and Current Practice","year":2000,"lang":"en","type":"book-chapter","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kensington Health","funders":"","keywords":"Ground-penetrating radar; Current (fluid); Characterization (materials science); State (computer science); Radar; Remote sensing; Geology; Computer science; Engineering; Aerospace engineering; Physics; Optics; Programming language","score_opus":0.027137492778578912,"score_gpt":0.2686562866681741,"score_spread":0.24151879388959518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1754752406","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008716091,0.86607844,0.0856096,0.0032190208,0.0006119283,0.00007110773,0.00019283994,0.000664476,0.034836397],"genre_scores_gemma":[0.035032485,0.8497457,0.09478657,0.0010811877,0.00086016266,0.00006987583,0.0005427242,0.00024098554,0.017640363],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981502,0.00028578786,0.00015138846,0.000440517,0.00091155805,0.00006061654],"domain_scores_gemma":[0.99639577,0.002097735,0.000154588,0.00024576928,0.0010035885,0.00010259423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004967566,0.00087219925,0.0010997463,0.0035492394,0.00036870208,0.0046124505,0.0031384574,0.0023874978,0.0048205587],"category_scores_gemma":[0.0034033484,0.00065006677,0.0004236797,0.005715354,0.0017656358,0.006068614,0.0011170742,0.001431443,0.0046553863],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003973222,0.00007956784,0.00063746277,0.0021423064,0.000014661314,0.00005927094,0.00021625131,0.0007613153,0.004918753,0.004685338,0.005853934,0.98059136],"study_design_scores_gemma":[0.000020343254,0.0003243012,0.0039031454,0.004453999,0.00006734644,0.0022928652,0.0009953405,0.006905531,0.022798808,0.018785767,0.9393234,0.00012916667],"about_ca_topic_score_codex":0.0010125745,"about_ca_topic_score_gemma":0.0011335188,"teacher_disagreement_score":0.004967566,"about_ca_system_score_codex":0.000830625,"about_ca_system_score_gemma":0.00080517394,"threshold_uncertainty_score":0.026271343},"labels":[],"label_agreement":null},{"id":"W175833488","doi":"","title":"Geophysical Investigation of the Clay Cap at a Closed Landfill in Southwestern Ontario, Canada","year":2014,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geology; Clay minerals; Earth science; Geochemistry; Hydrology (agriculture); Geophysics; Geotechnical engineering","score_opus":0.010523848750889216,"score_gpt":0.1755203852255425,"score_spread":0.1649965364746533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W175833488","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969125,0.000031907264,0.00015207013,0.000057156154,0.0000017844178,0.00001600443,0.00028123375,0.000011058669,0.0025362698],"genre_scores_gemma":[0.99807644,0.0000415099,0.00024928822,0.000017935079,0.0000012366828,0.0000065416025,0.00015393732,0.0000024473852,0.0014507481],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998198,0.000008113632,0.0000049876735,0.00002479972,0.000087939414,0.00005428641],"domain_scores_gemma":[0.99975854,0.000018344694,0.00003672571,0.00000931772,0.00012462976,0.000052449348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000084637824,0.00019018633,0.00018047556,0.0007104378,0.00242212,0.00081528595,0.00048372522,0.00030506434,0.0010462999],"category_scores_gemma":[0.00038113818,0.00020279079,0.0001234387,0.0013229493,0.0009642618,0.00023338028,0.00047413964,0.00022291887,0.00015165267],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040506618,0.00013336046,0.89087856,0.0001281185,0.000047184105,0.00432388,0.014029739,0.0031721352,0.053572416,0.0007857893,0.0020513304,0.03047231],"study_design_scores_gemma":[0.000011399139,0.000059983402,0.9811379,0.000025350586,0.0000105074705,0.00024725762,0.009865487,0.0026747955,0.0016898868,0.00008384771,0.0041787564,0.000014831141],"about_ca_topic_score_codex":0.9495705,"about_ca_topic_score_gemma":0.98657113,"teacher_disagreement_score":0.050429523,"about_ca_system_score_codex":0.0074658957,"about_ca_system_score_gemma":0.00741426,"threshold_uncertainty_score":0.10145295},"labels":[],"label_agreement":null},{"id":"W1762397077","doi":"10.1139/cjce-2012-0462","title":"Analysis of ground penetrating radar data using hierarchical Markov Chain Monte Carlo simulation","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ground-penetrating radar; Markov chain Monte Carlo; Monte Carlo method; Radar; Remote sensing; Computer science; Geology; Statistics; Mathematics","score_opus":0.026118639668546054,"score_gpt":0.2506767831959872,"score_spread":0.22455814352744113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1762397077","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4180253,0.0002310087,0.5735251,0.0006464875,0.000054000677,0.0004781718,0.0021601971,0.001021512,0.0038581614],"genre_scores_gemma":[0.9123955,0.0001661577,0.08327642,0.00010287256,0.000028226328,0.00040217128,0.0019312857,0.00008011998,0.0016171808],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99876535,0.0004923381,0.00007742614,0.00023732222,0.00024814697,0.00017951679],"domain_scores_gemma":[0.9767631,0.01970138,0.0010339144,0.0007003816,0.0014945015,0.00030677358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047833123,0.00066006865,0.0010560805,0.0018432601,0.00084075675,0.0014688756,0.001670169,0.0012901508,0.003247692],"category_scores_gemma":[0.015759083,0.00090078777,0.0012961519,0.0014093871,0.0009875486,0.0011287314,0.0008044557,0.0015269897,0.00030375546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020235499,0.000015879268,0.0015570577,0.000009334246,0.000017910963,0.000026639553,0.00001720996,0.9940791,0.00007082727,0.0028751215,0.00010127336,0.0012094087],"study_design_scores_gemma":[0.0000030464873,0.0000038012263,0.00013821025,0.0000017105323,0.000002138098,0.0000024626072,0.0000036547738,0.99887305,0.00003833607,0.00089515885,0.000035601544,0.0000027978435],"about_ca_topic_score_codex":0.061743032,"about_ca_topic_score_gemma":0.042241175,"teacher_disagreement_score":0.938257,"about_ca_system_score_codex":0.0024250308,"about_ca_system_score_gemma":0.0031170258,"threshold_uncertainty_score":0.12276727},"labels":[],"label_agreement":null},{"id":"W1785685710","doi":"10.1016/j.cageo.2015.08.012","title":"Forward modeling of radio imaging (RIM) data with the Comsol RF module","year":2015,"lang":"en","type":"article","venue":"Computers & Geosciences","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"Natural Sciences and Engineering Research Council of Canada; Vale Canada Limited","keywords":"Finite element method; Wavelength; Electrical conductor; Acoustics; Attenuation; Amplitude; Electromagnetic radiation; Physics; Geology; Optics","score_opus":0.04916242004769922,"score_gpt":0.27547637170706496,"score_spread":0.22631395165936574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1785685710","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022644768,0.000097183845,0.9554195,0.00020671033,0.00014347919,0.00009133983,0.0027241656,0.008575888,0.010096971],"genre_scores_gemma":[0.51944405,0.00047418257,0.43318102,0.00033246045,0.00013399491,0.00051064923,0.009180079,0.0050083445,0.03173533],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985826,0.000024426607,0.0000095003215,0.000026189111,0.00006365675,0.000017923527],"domain_scores_gemma":[0.99969065,0.00007449857,0.00003117604,0.000056789682,0.0001336902,0.000013121617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002649841,0.0007260366,0.00038963134,0.0004207805,0.00030113125,0.00069465727,0.0012482943,0.00066588284,0.009758035],"category_scores_gemma":[0.000990197,0.00040999072,0.00066207495,0.00064747536,0.00014469188,0.0005964226,0.0004946259,0.0008696325,0.0045877816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000796179,0.00007320043,0.0017276603,0.00019710996,0.00008105539,0.00012547246,0.00018168426,0.88833255,0.023792202,0.005555187,0.010818245,0.06903607],"study_design_scores_gemma":[0.000018295437,0.000023117565,0.00045852142,0.000011994996,0.000017361877,0.000049558254,0.000023281862,0.97482806,0.009904291,0.0009426054,0.013702062,0.000020742815],"about_ca_topic_score_codex":0.0065326025,"about_ca_topic_score_gemma":0.0052690213,"teacher_disagreement_score":0.009758035,"about_ca_system_score_codex":0.00026301932,"about_ca_system_score_gemma":0.000711006,"threshold_uncertainty_score":0.032643855},"labels":[],"label_agreement":null},{"id":"W178973787","doi":"","title":"Geophysical and Geomorphic Mapping of Hershel Lake and Trout Lake in the Northern Yukon, Arctic Canada: Comparisons between Holocene and Pleistocene Lake Basins","year":2010,"lang":"en","type":"article","venue":"Helmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Permafrost; Shelf ice; Holocene; Arctic; Bedrock; Oceanography; Moraine; Geomorphology; Ground-penetrating radar; Pleistocene; Physical geography; Paleontology; Glacial period; Arctic ice pack; Antarctic sea ice; Radar","score_opus":0.015803880997702004,"score_gpt":0.23958513923427774,"score_spread":0.22378125823657574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W178973787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993593,0.000063973064,0.000033971497,0.00001691097,5.105244e-7,0.0000034409447,0.00014311992,0.0000031559775,0.00037561823],"genre_scores_gemma":[0.9989625,0.00007579662,0.00021997835,0.000007498693,4.937338e-7,0.0000054032234,0.00024570382,0.0000016687434,0.00048099062],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999157,0.000006635218,0.0000064105056,0.00001596093,0.000023685656,0.000031494325],"domain_scores_gemma":[0.9997876,0.000017242213,0.00003950216,0.0000076067176,0.00010269726,0.00004537107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012625047,0.0001363302,0.0001239408,0.0011240398,0.0010218809,0.00051471073,0.00025417143,0.0001828714,0.0005432566],"category_scores_gemma":[0.00034383734,0.0001621792,0.00013018442,0.001468203,0.00047573136,0.00020974225,0.0005430968,0.00011101452,0.000064822736],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011651578,0.000024817082,0.96810985,0.00006519801,0.000043246855,0.00033748045,0.0031494624,0.00067635917,0.0068830745,0.0002029749,0.00034600357,0.02004496],"study_design_scores_gemma":[0.000002489624,0.000008548494,0.99781716,0.0000065382255,0.0000054955194,0.00004182579,0.0012623355,0.00026573936,0.00013518601,0.000010778438,0.00044067795,0.0000031743866],"about_ca_topic_score_codex":0.9038547,"about_ca_topic_score_gemma":0.97749627,"teacher_disagreement_score":0.09614527,"about_ca_system_score_codex":0.004232319,"about_ca_system_score_gemma":0.004792644,"threshold_uncertainty_score":0.19342291},"labels":[],"label_agreement":null},{"id":"W180062147","doi":"10.5006/c2000-00288","title":"Continuous Acoustic Monitoring of Structures","year":2000,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pure North","funders":"","keywords":"Materials science; Acoustics; Computer science; Physics","score_opus":0.009395315911380186,"score_gpt":0.24941735145118854,"score_spread":0.24002203553980836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W180062147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6241568,0.0013300118,0.35414454,0.00020778035,0.0001806536,0.0001554337,0.00051475276,0.0025191482,0.016790893],"genre_scores_gemma":[0.9712992,0.00022506922,0.02493953,0.000052411942,0.000055716242,0.000050077495,0.00017622438,0.000041923835,0.0031599088],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993261,0.00006106066,0.000013188001,0.00013284295,0.00042572955,0.000041017258],"domain_scores_gemma":[0.9990515,0.00022538996,0.00011438875,0.000107697735,0.00042845396,0.00007257911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039524556,0.0003019762,0.00021215645,0.00065408857,0.00021302319,0.0005440408,0.00054617756,0.00049216923,0.0016503683],"category_scores_gemma":[0.0013448264,0.0001587382,0.00012109985,0.00032541627,0.00031165968,0.00042472404,0.0004954974,0.00041972252,0.0004950263],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032550955,0.00013196276,0.015257836,0.00016786218,0.000035475725,0.00030815025,0.00037458382,0.007834135,0.704062,0.00077578716,0.0019588305,0.2687678],"study_design_scores_gemma":[0.00017949543,0.0026209434,0.110775664,0.00014083719,0.00017754505,0.0022483966,0.00035021745,0.19929183,0.65116477,0.0022525818,0.03068481,0.000113008944],"about_ca_topic_score_codex":0.0010280189,"about_ca_topic_score_gemma":0.0009028724,"teacher_disagreement_score":0.0016503683,"about_ca_system_score_codex":0.00024383867,"about_ca_system_score_gemma":0.00030644576,"threshold_uncertainty_score":0.0055209994},"labels":[],"label_agreement":null},{"id":"W1851139992","doi":"10.1139/cgj-2013-0204","title":"Detection of anomalies in diaphragm walls with crosshole sonic logging","year":2013,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Diaphragm (acoustics); Sonic logging; Logging; Geology; Geotechnical engineering; Acoustics; Vibration; Borehole; Physics","score_opus":0.006879250588619552,"score_gpt":0.20575938483634154,"score_spread":0.198880134247722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1851139992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9031459,0.00041182616,0.090655304,0.000078606194,0.00006421416,0.000060937167,0.0007389829,0.0014207055,0.0034235572],"genre_scores_gemma":[0.9585372,0.00010211497,0.040579777,0.000017757364,0.000016836031,0.000021949574,0.00031638076,0.000031227355,0.00037683657],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99954635,0.000051640898,0.000021102422,0.00010062949,0.0002135216,0.0000667115],"domain_scores_gemma":[0.9994252,0.00015314412,0.00011928447,0.00008116005,0.00016857055,0.00005276463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004005498,0.00031722922,0.00021890936,0.0020956853,0.00015573937,0.00046376896,0.00045527206,0.0005079502,0.00093293155],"category_scores_gemma":[0.0009779101,0.00026443065,0.00014543135,0.0010925865,0.00027442092,0.0006064464,0.0010484873,0.00027795805,0.00031679642],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037362787,0.0001425136,0.1459189,0.00021375268,0.00004766525,0.00072224485,0.0004193722,0.004221232,0.63517594,0.0007218069,0.0013198676,0.21072304],"study_design_scores_gemma":[0.00009400093,0.0004994938,0.53671545,0.00008884336,0.000089020796,0.002247104,0.00065867725,0.19065352,0.2623987,0.0013527508,0.005063861,0.00013855178],"about_ca_topic_score_codex":0.0009348512,"about_ca_topic_score_gemma":0.0024943857,"teacher_disagreement_score":0.0020956853,"about_ca_system_score_codex":0.000114790986,"about_ca_system_score_gemma":0.00023299787,"threshold_uncertainty_score":0.0031209588},"labels":[],"label_agreement":null},{"id":"W18557692","doi":"10.1037/1040-3590.20.2.150","title":"EVALUATION AND PETROLOGIC CHARACTERISTICS OF FLORIDA RIP RAP SOURCES","year":2002,"lang":"en","type":"article","venue":"Psychological Assessment","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Soundness; Abrasion (mechanical); Quality (philosophy); Computer science; Geology; Engineering; Mechanical engineering; Physics","score_opus":0.061174638640701946,"score_gpt":0.3533390127618282,"score_spread":0.2921643741211263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W18557692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94094306,0.0003463862,0.0018163034,0.0002219753,0.000024585508,0.00016246132,0.0018043658,0.00012924832,0.0545516],"genre_scores_gemma":[0.9818881,0.00035099234,0.0026494875,0.00003549968,0.000017045153,0.00006118383,0.0015805106,0.0000403554,0.01337688],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991641,0.0000822856,0.000051118124,0.00006936792,0.0005492672,0.00008395928],"domain_scores_gemma":[0.9976941,0.00034270814,0.0004942611,0.00014217774,0.0011708575,0.00015586424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056311314,0.00033323618,0.00017689604,0.0058986023,0.0010290027,0.0010363335,0.00042716676,0.00035443806,0.009464473],"category_scores_gemma":[0.0041636494,0.00014666871,0.00014945214,0.0034078846,0.00026455193,0.0004959549,0.0008540074,0.00015971367,0.002113332],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030079033,0.00013584745,0.7296879,0.00023864218,0.000058342237,0.0028404251,0.0039872443,0.0016276458,0.011499259,0.00084728247,0.0063955025,0.24238104],"study_design_scores_gemma":[0.0000051693537,0.00017440971,0.95655286,0.00006950453,0.000031098105,0.0019849467,0.0057460302,0.0014767593,0.002563768,0.00020825613,0.031157697,0.000029535226],"about_ca_topic_score_codex":0.010641214,"about_ca_topic_score_gemma":0.025514355,"teacher_disagreement_score":0.010641214,"about_ca_system_score_codex":0.0005323541,"about_ca_system_score_gemma":0.00055821944,"threshold_uncertainty_score":0.03166181},"labels":[],"label_agreement":null},{"id":"W1886306434","doi":"","title":"Electrical Shutdown at Bethany Calgary","year":2015,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Shutdown; Engineering","score_opus":0.026066597599274263,"score_gpt":0.25207319900357494,"score_spread":0.22600660140430068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1886306434","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7595849,0.00093352987,0.0029720815,0.01708576,0.0040962654,0.00026920348,0.0016482254,0.0008961498,0.21251386],"genre_scores_gemma":[0.7185806,0.00051869504,0.0022877506,0.0019505987,0.00044346627,0.00005437596,0.0011180054,0.00027342836,0.27477303],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993394,0.00004799109,0.00000896268,0.00011287726,0.00023700863,0.00025383072],"domain_scores_gemma":[0.9993192,0.000069649104,0.000025876803,0.00003970398,0.00028054163,0.00026509448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004467521,0.00046396817,0.00041351968,0.00075107225,0.0060153706,0.0016105964,0.00081581244,0.0014512554,0.021168789],"category_scores_gemma":[0.00091597415,0.00026327622,0.0003386246,0.00046131248,0.0011880429,0.0004932593,0.0017014537,0.0028461923,0.00229837],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0050429357,0.0013170819,0.124225736,0.00042653087,0.00034866194,0.0456805,0.010684908,0.02486287,0.10791309,0.014689273,0.29727578,0.3675326],"study_design_scores_gemma":[0.00038801288,0.0011949644,0.33344403,0.00026498476,0.00008861,0.0017335056,0.013219332,0.0075559416,0.017926719,0.0030605516,0.62097025,0.00015311151],"about_ca_topic_score_codex":0.25716075,"about_ca_topic_score_gemma":0.45732328,"teacher_disagreement_score":0.7428392,"about_ca_system_score_codex":0.0053274347,"about_ca_system_score_gemma":0.0076356707,"threshold_uncertainty_score":0.51132786},"labels":[],"label_agreement":null},{"id":"W1912629087","doi":"10.1109/ccece.2005.1557130","title":"Handheld landmine avoidance system","year":2006,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Mobile device; Global Positioning System; Computer science; Wearable computer; ALARM; Real-time computing; Upload; Embedded system; Wearable technology; Mobile computing; Smartwatch; Engineering; Telecommunications; Electrical engineering","score_opus":0.0029304927547872113,"score_gpt":0.17243282465663606,"score_spread":0.16950233190184885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1912629087","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.238495,0.003745136,0.4587032,0.001140547,0.0017635243,0.0025708678,0.0077097393,0.06011519,0.22575682],"genre_scores_gemma":[0.72327596,0.0012049988,0.06441444,0.00124361,0.0003073944,0.0012643541,0.0040141162,0.00040132145,0.20387386],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997552,0.000015562786,0.000011274338,0.00007409135,0.00011323134,0.000030612187],"domain_scores_gemma":[0.9998037,0.000024985602,0.000017537586,0.000044122044,0.000078665726,0.00003104646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009475022,0.00052139995,0.00054382515,0.0005942409,0.0004513046,0.00064396264,0.0013471909,0.00076024595,0.043234326],"category_scores_gemma":[0.0004373194,0.00016548968,0.00027089106,0.00043317623,0.00013672974,0.00052508834,0.00096613273,0.0003328498,0.016128529],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014588833,0.00036590412,0.0059624864,0.0008441686,0.00010832198,0.002616886,0.0005027297,0.0052695647,0.21753034,0.002595468,0.08035032,0.682395],"study_design_scores_gemma":[0.000846363,0.0021915252,0.029308204,0.00032294614,0.0004273181,0.010093305,0.00048616517,0.0782785,0.20107041,0.0031775276,0.67340225,0.00039542522],"about_ca_topic_score_codex":0.0021077683,"about_ca_topic_score_gemma":0.0016617317,"teacher_disagreement_score":0.043234326,"about_ca_system_score_codex":0.00028277826,"about_ca_system_score_gemma":0.00038662288,"threshold_uncertainty_score":0.14463323},"labels":[],"label_agreement":null},{"id":"W1931965420","doi":"10.1108/ci-08-2019-0076","title":"Ground penetrating radar-based deterioration assessment of RC bridge decks","year":2019,"lang":"en","type":"article","venue":"Construction Innovation","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Regional Municipality of Durham","funders":"","keywords":"Ground-penetrating radar; Weibull distribution; Bridge (graph theory); Structural engineering; Radar; Monte Carlo method; Engineering; Computer science; Environmental science; Statistics; Mathematics; Telecommunications","score_opus":0.02035676624880996,"score_gpt":0.2921810671290023,"score_spread":0.2718243008801924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1931965420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9670046,0.0001691516,0.031022921,0.000025434892,0.000013153045,0.000045918317,0.00014270167,0.00015407657,0.0014220213],"genre_scores_gemma":[0.9922206,0.00008796354,0.0070821485,0.000011564051,0.0000031957136,0.000010573191,0.00012655617,0.000006542568,0.0004509495],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99960035,0.00007505217,0.00002942288,0.000070051115,0.00019761699,0.000027614942],"domain_scores_gemma":[0.99938655,0.00009118445,0.00014903555,0.00006249111,0.00027981878,0.00003087969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088538474,0.0005289816,0.00032366568,0.0012677889,0.00013956592,0.0004983836,0.00038828462,0.0003970299,0.0006701812],"category_scores_gemma":[0.0015322894,0.00016076089,0.00026625997,0.00048589747,0.0002913995,0.00056274503,0.0004537271,0.0002075371,0.00032850628],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011300038,0.00032037558,0.30184105,0.00064187625,0.00015847164,0.00086626684,0.0006701544,0.21159852,0.26498556,0.0010312974,0.0011050644,0.21565138],"study_design_scores_gemma":[0.000020849684,0.0012525647,0.34019387,0.000088305394,0.00013038662,0.00075094233,0.000915566,0.585274,0.06936187,0.0007727593,0.0011582584,0.00008068587],"about_ca_topic_score_codex":0.0011279205,"about_ca_topic_score_gemma":0.0018021205,"teacher_disagreement_score":0.0012677889,"about_ca_system_score_codex":0.00028467368,"about_ca_system_score_gemma":0.00015813361,"threshold_uncertainty_score":0.0046824217},"labels":[],"label_agreement":null},{"id":"W195278875","doi":"10.17226/22431","title":"Non-Nuclear Methods for Compaction Control of Unbound Materials","year":2014,"lang":"en","type":"book","venue":"Transportation Research Board eBooks","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Compaction; Nuclear material; Control (management); Aggregate (composite); Engineering; Forensic engineering; Transport engineering; Civil engineering; Waste management; Geotechnical engineering; Materials science; Computer science; Nanotechnology; Physics; Nuclear physics","score_opus":0.05632524262190411,"score_gpt":0.3975848385206243,"score_spread":0.34125959589872024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W195278875","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023644553,0.31731647,0.28835437,0.0020176587,0.0022913024,0.0009421016,0.0016792127,0.001386806,0.36236754],"genre_scores_gemma":[0.07765768,0.21259718,0.22582084,0.0010360254,0.00031335404,0.0008033182,0.0021368475,0.0007328043,0.47890192],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972535,0.0002410672,0.000117214375,0.00021582001,0.0021132259,0.00005913288],"domain_scores_gemma":[0.99873,0.0006207041,0.00010614748,0.0001231269,0.0003979519,0.000021901427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011000307,0.0010759239,0.0005921933,0.004625457,0.00067404495,0.001458436,0.0014937551,0.0006527876,0.014688478],"category_scores_gemma":[0.0017217794,0.00051456457,0.00045509805,0.0048957695,0.0012761932,0.0015070273,0.00090049853,0.0009880818,0.0054092235],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005772343,0.00016772073,0.0008654347,0.0041134963,0.000018995654,0.00029613008,0.0009198462,0.00081854645,0.05945434,0.018613933,0.028777478,0.8858963],"study_design_scores_gemma":[0.000013509496,0.0002020927,0.0056370795,0.0012881119,0.000046534322,0.0017117424,0.00070185575,0.0012599948,0.114473775,0.006968284,0.8676232,0.00007382969],"about_ca_topic_score_codex":0.0068329386,"about_ca_topic_score_gemma":0.03136954,"teacher_disagreement_score":0.014688478,"about_ca_system_score_codex":0.0014285533,"about_ca_system_score_gemma":0.0017954303,"threshold_uncertainty_score":0.04913789},"labels":[],"label_agreement":null},{"id":"W1956529583","doi":"10.2113/jeeg20.3.245","title":"Bathymetry and Sediment Accumulation of Walker Lake, PA Using Two GPR Antennas in a New Integrated Method","year":2015,"lang":"en","type":"article","venue":"Journal of Environmental and Engineering Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Bathymetry; Geology; Sediment; Ground-penetrating radar; Sedimentation; Geomorphology; Inlet; Deposition (geology); Siltation; Hydrology (agriculture); Radar; Oceanography; Geotechnical engineering","score_opus":0.036685747835558113,"score_gpt":0.28440015107200195,"score_spread":0.24771440323644384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1956529583","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35086167,0.000051663428,0.64569384,0.000037382717,0.000023801953,0.00008487452,0.0001530709,0.0010735224,0.0020201055],"genre_scores_gemma":[0.49041957,0.000047623584,0.5078409,0.000014459416,0.0000081013495,0.00007638906,0.00024840087,0.0000884893,0.0012560997],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99979705,0.000029123841,0.000009406147,0.0000585413,0.000090176254,0.000015679894],"domain_scores_gemma":[0.9997651,0.00004093256,0.000021615042,0.000033023436,0.00012535772,0.000013940741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022728746,0.00033339922,0.00024086668,0.0009213423,0.00015897874,0.0004442177,0.00040335522,0.00022653263,0.0009524898],"category_scores_gemma":[0.0006733275,0.00037871388,0.00029411694,0.0007185038,0.00015333823,0.00039989987,0.00061671843,0.00034149407,0.00021247346],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040895495,0.0002758275,0.049666118,0.00020468389,0.00014558609,0.0002996886,0.0007061311,0.051332593,0.26688007,0.0022562454,0.0014002508,0.6264239],"study_design_scores_gemma":[0.00006130102,0.0002895107,0.0774519,0.00001827237,0.000097921205,0.00042030265,0.00024898406,0.8784301,0.03950798,0.0006354108,0.0027815846,0.000056668985],"about_ca_topic_score_codex":0.0030097538,"about_ca_topic_score_gemma":0.006960782,"teacher_disagreement_score":0.0030097538,"about_ca_system_score_codex":0.0002237519,"about_ca_system_score_gemma":0.0004205239,"threshold_uncertainty_score":0.005984485},"labels":[],"label_agreement":null},{"id":"W1962246039","doi":"10.1111/j.1365-3091.2012.01364.x","title":"Quantification of the relation between surface morphodynamics and subsurface sedimentological product in sandy braided rivers","year":2012,"lang":"en","type":"article","venue":"Sedimentology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Environment Research Council; University of Calgary","keywords":"Beach morphodynamics; Geology; Facies; Geomorphology; Flood myth; Digital elevation model; Sedimentary depositional environment; Ground-penetrating radar; Fluvial; Erosion; Radar; Hydrology (agriculture); Sediment; Sediment transport; Remote sensing; Geotechnical engineering; Archaeology","score_opus":0.02659963346580189,"score_gpt":0.270472848807259,"score_spread":0.24387321534145714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1962246039","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993538,0.000013860454,0.000267201,0.0000023214445,1.6702117e-7,0.0000024437568,0.000080113066,0.0000048718007,0.00027536257],"genre_scores_gemma":[0.9994392,0.000014173328,0.00030864906,0.0000014037645,1.8188658e-7,0.0000017902752,0.00013020591,0.0000010519067,0.00010330091],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998919,0.000012378464,0.000007687737,0.000028293325,0.0000383986,0.000021481219],"domain_scores_gemma":[0.9997197,0.00006861614,0.000071131544,0.000017459586,0.00009144968,0.000031687065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014658482,0.00014298664,0.0001263209,0.0008305348,0.00020827532,0.00076894555,0.00015388268,0.00011329583,0.00035995382],"category_scores_gemma":[0.00055150694,0.00015499907,0.00011600315,0.0009528329,0.00027896214,0.00022133133,0.00035432083,0.00009747966,0.000058368692],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042703556,0.000009620068,0.98072976,0.000013607143,0.00003555485,0.00007643169,0.0002109081,0.0029081097,0.0063404776,0.0000794697,0.0000314592,0.009521916],"study_design_scores_gemma":[0.000001036889,0.000007947727,0.996947,0.0000017720284,0.0000038013027,0.000019070952,0.00016669069,0.002483003,0.00027312138,0.000018677809,0.0000750899,0.0000027243586],"about_ca_topic_score_codex":0.24267936,"about_ca_topic_score_gemma":0.47298518,"teacher_disagreement_score":0.24267936,"about_ca_system_score_codex":0.0012069679,"about_ca_system_score_gemma":0.00074513553,"threshold_uncertainty_score":0.48253363},"labels":[],"label_agreement":null},{"id":"W1963947172","doi":"10.1117/12.666039","title":"An EM-IMM based abrupt change detector for landmine detection","year":2006,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Detector; Ground-penetrating radar; Change detection; Computer science; Kalman filter; Maximization; Artificial intelligence; A priori and a posteriori; Expectation–maximization algorithm; Receiver operating characteristic; Radar; Computer vision; Filter (signal processing); Pattern recognition (psychology); Maximum likelihood; Machine learning; Mathematics; Telecommunications; Statistics","score_opus":0.01447784683039033,"score_gpt":0.24217313862772433,"score_spread":0.227695291797334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1963947172","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004168093,0.00008547569,0.99499583,0.00005202837,0.000026209054,0.000012504313,0.000016374295,0.00032213394,0.00032133402],"genre_scores_gemma":[0.3404863,0.00023139863,0.65579057,0.00023780145,0.00007233142,0.00007489862,0.0001814585,0.00007241114,0.002852888],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995116,0.00011053005,0.00002612095,0.00011205308,0.00019773308,0.00004198249],"domain_scores_gemma":[0.99898094,0.0004569558,0.00010959307,0.000118006996,0.00028653574,0.000048039255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013312667,0.0004978765,0.0007108648,0.000565071,0.00026993352,0.0005789514,0.0011256202,0.0012545603,0.000978481],"category_scores_gemma":[0.0031591197,0.00030273662,0.0005503778,0.00043566024,0.00055856886,0.0012608604,0.000834157,0.0011013467,0.0005500784],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041020382,0.0002271849,0.005395948,0.0002478818,0.00021068173,0.0003267113,0.00013616665,0.35334426,0.046230473,0.02246823,0.0036743355,0.5673279],"study_design_scores_gemma":[0.000009375077,0.0000684569,0.00047382416,0.0000048923266,0.000011951929,0.0001337642,0.000008534038,0.9851857,0.010062792,0.0022019546,0.001822271,0.000016441647],"about_ca_topic_score_codex":0.00053243985,"about_ca_topic_score_gemma":0.0007240591,"teacher_disagreement_score":0.0013312667,"about_ca_system_score_codex":0.00035000558,"about_ca_system_score_gemma":0.00045925533,"threshold_uncertainty_score":0.0070405006},"labels":[],"label_agreement":null},{"id":"W1964920345","doi":"10.1029/2004gl021112","title":"The effect of vertical measurement resolution on the correlation structure of a ground penetrating radar reflection image","year":2004,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Radar; Geology; Remote sensing; Ground-penetrating radar; Reflection (computer programming); Radar imaging; Resolution (logic); Range (aeronautics); Horizontal and vertical; Image resolution; Radar horizon; Geodesy; Optics; Continuous-wave radar; Physics; Materials science; Computer science","score_opus":0.03644449384364897,"score_gpt":0.3233812261642073,"score_spread":0.28693673232055833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964920345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6342964,0.0026471203,0.35629496,0.00046499827,0.000096591335,0.00006422072,0.0005528815,0.00082015456,0.004762738],"genre_scores_gemma":[0.9475573,0.0006960813,0.050661262,0.00007390935,0.000031945194,0.000028604481,0.00038340504,0.0001349356,0.00043265586],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978217,0.0006986638,0.00016819661,0.00035883655,0.00074007077,0.00021249091],"domain_scores_gemma":[0.9588589,0.03355458,0.0016122009,0.0023781068,0.003353882,0.00024230119],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004945416,0.0005231191,0.00032359626,0.00066231325,0.00027523658,0.0007930743,0.00029446316,0.0005823378,0.0008877098],"category_scores_gemma":[0.03117635,0.00066907814,0.00034490318,0.0008780842,0.0005779981,0.0011595996,0.0008252516,0.000697804,0.00032068542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016935174,0.00015387891,0.08465561,0.0007372806,0.00038865276,0.000814165,0.0007539223,0.171755,0.4480292,0.0047001927,0.0014604011,0.2848582],"study_design_scores_gemma":[0.000080166385,0.0009109352,0.23645385,0.00015011163,0.00046552267,0.0017935402,0.0003647132,0.3806221,0.37159467,0.0038965899,0.0034673603,0.00020039905],"about_ca_topic_score_codex":0.0014566324,"about_ca_topic_score_gemma":0.0013275665,"teacher_disagreement_score":0.004945416,"about_ca_system_score_codex":0.00043280763,"about_ca_system_score_gemma":0.0003910394,"threshold_uncertainty_score":0.02615416},"labels":[],"label_agreement":null},{"id":"W1965397587","doi":"10.1109/icgpr.2010.5550068","title":"Comparing electromagnetic induction and ground penetrating radar techniques for estimating soil moisture content","year":2010,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Loam; Ground-penetrating radar; Water content; Soil science; Silt; Geology; Radar; Soil water; Hydrology (agriculture); Environmental science; Remote sensing; Geotechnical engineering; Geomorphology","score_opus":0.03033546459617242,"score_gpt":0.2676384182681867,"score_spread":0.23730295367201426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965397587","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83935624,0.0014471087,0.15440927,0.000099229284,0.00007949312,0.000121659556,0.00019686522,0.0003674291,0.003922701],"genre_scores_gemma":[0.9250648,0.0010133493,0.07274957,0.00006280982,0.00005986118,0.000054605935,0.00020069034,0.0000382224,0.00075609406],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990201,0.0003667281,0.00003894956,0.00011604007,0.00036289872,0.00009532042],"domain_scores_gemma":[0.9979479,0.0011431105,0.00020113795,0.00014872412,0.000495173,0.000064002415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018312625,0.00041001456,0.0002885569,0.0016182377,0.00010703749,0.0005594213,0.0003862635,0.0004590621,0.0005173881],"category_scores_gemma":[0.004447476,0.00025454318,0.00024656032,0.001124142,0.00022982444,0.0010010541,0.0005269555,0.00030548344,0.00035035925],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026661349,0.00051746884,0.16696598,0.0005420366,0.00035966298,0.00024824377,0.00053075113,0.016621545,0.26358324,0.0014518781,0.00066466373,0.5458485],"study_design_scores_gemma":[0.00031927257,0.0053569563,0.3703862,0.00013621568,0.00078809686,0.002248559,0.0011559443,0.3652561,0.24570741,0.0023318972,0.006100756,0.00021254673],"about_ca_topic_score_codex":0.00063809886,"about_ca_topic_score_gemma":0.0011473715,"teacher_disagreement_score":0.0018312625,"about_ca_system_score_codex":0.0001337517,"about_ca_system_score_gemma":0.00021124589,"threshold_uncertainty_score":0.0096847415},"labels":[],"label_agreement":null},{"id":"W1965502928","doi":"10.1002/arp.234","title":"Electrical and magnetic response of archaeological features at the early neolithic site of Movila lui Deciov, western Romania","year":2004,"lang":"en","type":"article","venue":"Archaeological Prospection","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Electrical resistivity tomography; Excavation; Prospection; Magnetic survey; Gradiometer; Archaeology; Geophysical survey; Geology; Electrical resistivity and conductivity; Magnetometer; Geophysics; Magnetic anomaly; Geography; Magnetic field; Engineering","score_opus":0.0083748524998527,"score_gpt":0.23188525296237392,"score_spread":0.2235104004625212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965502928","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980964,0.00006955008,0.00009936363,0.000012970075,0.0000011185343,0.0000041868325,0.00004578682,0.000002735056,0.0016678534],"genre_scores_gemma":[0.9993093,0.000051152667,0.00017878877,0.000004232448,0.0000011719642,0.0000041931685,0.000051490675,0.0000017753366,0.00039783202],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99989545,0.00002823235,0.000007477433,0.00002579017,0.000017462988,0.000025425803],"domain_scores_gemma":[0.9998853,0.000019479297,0.000047131158,0.000018105295,0.000021902102,0.000008087249],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017430983,0.00015453112,0.00017912511,0.0008692796,0.00028164874,0.0003275262,0.00020176473,0.00018754297,0.0007578018],"category_scores_gemma":[0.00047422122,0.00018711055,0.00009210124,0.0007055391,0.00056726485,0.000115760944,0.00051101914,0.00010931433,0.00022275826],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004824378,0.00008332523,0.83683926,0.0002141395,0.0000771737,0.003120883,0.01020379,0.0022035919,0.052473802,0.0008112799,0.00058115297,0.09290918],"study_design_scores_gemma":[0.000007894085,0.000042497337,0.99545705,0.00002025072,0.000005992756,0.0005564577,0.0012165679,0.0003132181,0.0010052047,0.000046121226,0.0013239718,0.000004786694],"about_ca_topic_score_codex":0.0042253835,"about_ca_topic_score_gemma":0.013432387,"teacher_disagreement_score":0.0042253835,"about_ca_system_score_codex":0.00021201854,"about_ca_system_score_gemma":0.0001181772,"threshold_uncertainty_score":0.008401573},"labels":[],"label_agreement":null},{"id":"W1966141910","doi":"10.2136/vzj2012.0202","title":"Monitoring Shallow Soil Water Content Under Natural Field Conditions Using the Early‐Time GPR Signal Technique","year":2013,"lang":"en","type":"article","venue":"Vadose Zone Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Guelph","funders":"","keywords":"Water content; Ground-penetrating radar; Soil science; Waves and shallow water; Environmental science; Moisture; Geology; Permittivity; Surface roughness; Soil water; Amplitude; Dielectric; Remote sensing; Geotechnical engineering; Radar; Materials science; Optics; Composite material; Engineering","score_opus":0.02906414629205917,"score_gpt":0.25860078182527624,"score_spread":0.22953663553321707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966141910","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918475,0.00004841878,0.0076501113,0.0000076290085,0.0000028373668,0.0000134107695,0.00008913581,0.00005513327,0.00028574507],"genre_scores_gemma":[0.990017,0.000080568585,0.009596767,0.000008232193,0.0000033394142,0.000020704041,0.0000987955,0.00000644517,0.00016831825],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999052,0.00001864682,0.0000041392095,0.00003274511,0.000026246975,0.000012969772],"domain_scores_gemma":[0.99985933,0.000045749304,0.000034970126,0.0000142981435,0.000033886256,0.00001178027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021700538,0.00023511071,0.00019312918,0.00044284365,0.00010763103,0.0002417693,0.00027677708,0.0002735993,0.00023610947],"category_scores_gemma":[0.00033517243,0.00008326736,0.000102114864,0.00033050514,0.0001374533,0.00035334614,0.00018271332,0.00017568844,0.000082387414],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037895038,0.00020677265,0.05624006,0.00008570304,0.00003062143,0.0001425452,0.00023588564,0.004866662,0.8827443,0.000117603566,0.00012984397,0.054821067],"study_design_scores_gemma":[0.00005847808,0.0017906711,0.6109486,0.00001638199,0.00010119516,0.0005546902,0.00037170845,0.086374484,0.2981321,0.00029408958,0.0012892802,0.00006836141],"about_ca_topic_score_codex":0.000843575,"about_ca_topic_score_gemma":0.0017040467,"teacher_disagreement_score":0.000843575,"about_ca_system_score_codex":0.00008835337,"about_ca_system_score_gemma":0.000086277796,"threshold_uncertainty_score":0.0016773343},"labels":[],"label_agreement":null},{"id":"W1966579663","doi":"10.1007/s12665-010-0726-9","title":"Resolving scales of aquifer heterogeneity using ground penetrating radar and borehole geophysical logging","year":2010,"lang":"en","type":"article","venue":"Environmental Earth Sciences","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Golder Associates (Canada); Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geology; Borehole; Ground-penetrating radar; Hydrogeology; Aquifer; Water table; Well logging; Geophysical survey; Geomorphology; Geophysics; Groundwater; Radar; Geotechnical engineering","score_opus":0.016206286503956332,"score_gpt":0.24853797266342573,"score_spread":0.2323316861594694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966579663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917636,0.000088009365,0.0072076293,0.000051192746,0.0000047493722,0.000006894642,0.00008980897,0.0000970436,0.0006910981],"genre_scores_gemma":[0.99815315,0.000025944359,0.0017119661,0.000009465082,0.0000041161106,0.0000021527105,0.000036736597,0.000007149397,0.000049257174],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99987733,0.000013815598,0.000007946586,0.00004712323,0.000019484882,0.00003425399],"domain_scores_gemma":[0.9992816,0.00032152407,0.00014850193,0.000093147086,0.00008075536,0.0000744259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003150489,0.00028816293,0.00033740816,0.0009996783,0.00030589613,0.0008795065,0.00038105444,0.00036263827,0.0005757007],"category_scores_gemma":[0.0012911859,0.00041041969,0.00017601372,0.0007848799,0.00040488038,0.0017743246,0.0008560136,0.0003654813,0.000055743665],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010540393,0.0005137443,0.5849621,0.00015992728,0.00040858414,0.0012064894,0.0008622046,0.12862706,0.1673385,0.0039537502,0.0011204759,0.109793104],"study_design_scores_gemma":[0.00011811292,0.00014950264,0.629061,0.000015523852,0.0001324371,0.00034089736,0.0009207995,0.35441613,0.008075473,0.006060123,0.0006411454,0.0000688561],"about_ca_topic_score_codex":0.0054979417,"about_ca_topic_score_gemma":0.009210584,"teacher_disagreement_score":0.0054979417,"about_ca_system_score_codex":0.00030152453,"about_ca_system_score_gemma":0.0002909509,"threshold_uncertainty_score":0.0109318495},"labels":[],"label_agreement":null},{"id":"W1967520101","doi":"10.3141/1798-09","title":"Test Method for Appraising Future Durability of New Concrete Bridge Decks","year":2002,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Durability; Bridge deck; Structural engineering; Permeability (electromagnetism); Engineering; Deck; Test method; Geotechnical engineering; Materials science; Composite material; Geology","score_opus":0.13225400857958053,"score_gpt":0.4163655213829907,"score_spread":0.2841115128034102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967520101","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55259395,0.0019691768,0.42628205,0.0002049297,0.0003990777,0.0011487164,0.0022139554,0.0018570753,0.01333115],"genre_scores_gemma":[0.76042974,0.00073900336,0.22658409,0.00012452071,0.00003534863,0.00082863803,0.0012248706,0.000113139016,0.009920553],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985417,0.00014703935,0.00009827925,0.0001433737,0.0010186536,0.000050888568],"domain_scores_gemma":[0.9977558,0.00042711344,0.00025729206,0.00024294264,0.0011715979,0.00014528946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001490219,0.00044417285,0.0003499707,0.0025153046,0.00038589965,0.0003020617,0.0006889803,0.0005439047,0.0038682774],"category_scores_gemma":[0.0027164202,0.0002227642,0.00023774634,0.00091826706,0.00030268586,0.0006231248,0.00045008663,0.00047686667,0.0012559401],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006919463,0.00023411903,0.029406834,0.00042375448,0.000038531198,0.0003853528,0.0003013516,0.0022727037,0.813473,0.0015659299,0.0016940661,0.14951254],"study_design_scores_gemma":[0.00011915352,0.006148997,0.10174086,0.00010767467,0.00011886307,0.0030860184,0.00050931884,0.03825222,0.82912266,0.0011000532,0.01952084,0.00017313784],"about_ca_topic_score_codex":0.00090578647,"about_ca_topic_score_gemma":0.0020151793,"teacher_disagreement_score":0.0038682774,"about_ca_system_score_codex":0.00035608368,"about_ca_system_score_gemma":0.00040540137,"threshold_uncertainty_score":0.012940705},"labels":[],"label_agreement":null},{"id":"W1968122220","doi":"10.2113/jeeg13.4.325","title":"A Comparison of Electrical Resistivity, Ground Penetrating Radar and Seismic Refraction Results at a River Terrace Site","year":2008,"lang":"en","type":"article","venue":"Journal of Environmental and Engineering Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Geology; Ground-penetrating radar; Seismic refraction; Terrace (agriculture); Electrical resistivity tomography; Refraction; Electrical resistivity and conductivity; Seismology; Radar; Geophysics; Geomorphology; Archaeology","score_opus":0.012516211604215488,"score_gpt":0.22622482001435787,"score_spread":0.2137086084101424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968122220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993124,0.0000070763213,0.00012665881,0.000008610696,0.0000015273845,0.0000055787414,0.0000998992,0.000013314089,0.0004248997],"genre_scores_gemma":[0.9980045,0.000012232137,0.00083360105,0.0000080619575,0.0000021359924,0.0000048848888,0.00058439217,0.000010173353,0.0005399584],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999746,0.00004326161,0.0000136121425,0.00006599716,0.000097629796,0.000033541433],"domain_scores_gemma":[0.9994541,0.0001434705,0.000046551584,0.00005615782,0.0002129557,0.00008679829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046953652,0.00029859942,0.0002585691,0.00071723305,0.00045669754,0.00057979405,0.00033999537,0.0006061343,0.0012666411],"category_scores_gemma":[0.00085358147,0.00023131802,0.0002565249,0.0005917092,0.00036528552,0.0002747141,0.00026176297,0.00024609882,0.0003558738],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015736002,0.0009861967,0.7416286,0.00009200415,0.00029922763,0.005093396,0.0031739376,0.007866786,0.1900057,0.00025193577,0.0010128698,0.048015643],"study_design_scores_gemma":[0.000069336886,0.00039584827,0.9832296,0.000006245826,0.00004579926,0.00040421443,0.00097084395,0.005070594,0.009249719,0.00004795589,0.00048592055,0.000023878669],"about_ca_topic_score_codex":0.02502623,"about_ca_topic_score_gemma":0.06140355,"teacher_disagreement_score":0.02502623,"about_ca_system_score_codex":0.0003261832,"about_ca_system_score_gemma":0.00028983818,"threshold_uncertainty_score":0.049761117},"labels":[],"label_agreement":null},{"id":"W1968351819","doi":"10.1002/hyp.1351","title":"An analysis of the ground‐penetrating radar direct ground wave method for soil water content measurement","year":2003,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":103,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ground-penetrating radar; Loam; Reflectometry; Geology; Remote sensing; Calibration; Water content; Sampling (signal processing); Time domain; Radar; Soil science; Environmental science; Soil water; Optics; Geotechnical engineering; Mathematics; Engineering; Physics; Statistics; Telecommunications","score_opus":0.09062440371918178,"score_gpt":0.28843851364779155,"score_spread":0.19781410992860976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968351819","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66849273,0.0009891413,0.3278258,0.00009944508,0.000067564986,0.00013684109,0.00022722299,0.0004214313,0.0017397144],"genre_scores_gemma":[0.8904548,0.00039860205,0.10729094,0.000051940253,0.000021900418,0.00008081544,0.00027394187,0.0000717272,0.0013554337],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985066,0.00029025803,0.00003229795,0.00018026555,0.00095147983,0.000039049377],"domain_scores_gemma":[0.99679047,0.0013989073,0.0003110035,0.00025907613,0.0011944026,0.000046074656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014032639,0.00035654908,0.00019953764,0.00070762006,0.00010182558,0.00035689663,0.00036831514,0.0004022027,0.0007077172],"category_scores_gemma":[0.003916477,0.00021586461,0.00029581127,0.00066271354,0.00020450886,0.00032225612,0.0002229599,0.00024227118,0.00036322247],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080497016,0.000100816986,0.026600428,0.0002972581,0.00010900728,0.00020938688,0.000119867305,0.0066766073,0.7178414,0.0005175024,0.0005845207,0.24613819],"study_design_scores_gemma":[0.00008511501,0.0018519384,0.16908903,0.00004529128,0.0002765981,0.0013329086,0.00017444108,0.30268946,0.51820654,0.000367523,0.005784976,0.00009612032],"about_ca_topic_score_codex":0.0012245914,"about_ca_topic_score_gemma":0.0012632405,"teacher_disagreement_score":0.0014032639,"about_ca_system_score_codex":0.00026522222,"about_ca_system_score_gemma":0.00021179304,"threshold_uncertainty_score":0.0074211955},"labels":[],"label_agreement":null},{"id":"W1968685177","doi":"10.1177/0278364910378179","title":"Field Testing of an Integrated Surface/Subsurface Modeling Technique for Planetary Exploration","year":2010,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University; Toronto Rehabilitation Institute; University of Toronto","funders":"","keywords":"Ground-penetrating radar; Mars Exploration Program; Remote sensing; Geology; Planetary exploration; Exploration of Mars; Radar; Martian surface; Planetary surface; Transect; Astrobiology; Aerospace engineering; Martian; Engineering","score_opus":0.15935191770392712,"score_gpt":0.4059031436789617,"score_spread":0.24655122597503457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968685177","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5892426,0.00007401449,0.40389654,0.00018257875,0.0000480662,0.00013606262,0.0002481239,0.0037361542,0.0024358302],"genre_scores_gemma":[0.76983297,0.000039985578,0.22884749,0.000024565054,0.000006579139,0.00006978226,0.00020381124,0.00018354222,0.0007912711],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978036,0.000042426436,0.000014020177,0.000060368187,0.0000814901,0.000021299747],"domain_scores_gemma":[0.9992926,0.000268826,0.000034464116,0.00018014749,0.00018696768,0.00003695024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008325402,0.00043092025,0.0003392523,0.00030109193,0.00031044058,0.00057465717,0.000816344,0.0006083493,0.0016261147],"category_scores_gemma":[0.0017338092,0.0003065422,0.00033332294,0.0003741086,0.00025006873,0.0009228974,0.0006914282,0.00057064573,0.00032864502],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007864506,0.0007530029,0.01370649,0.00014942842,0.00015731067,0.00019607617,0.00047533662,0.6029119,0.09869396,0.0017880193,0.0011444752,0.27923754],"study_design_scores_gemma":[0.00002065085,0.00013391473,0.00091428054,0.0000022954778,0.000014273343,0.000029351448,0.000038425067,0.98952204,0.008621192,0.00019302231,0.00050237525,0.000008249598],"about_ca_topic_score_codex":0.0045036147,"about_ca_topic_score_gemma":0.0039567244,"teacher_disagreement_score":0.0045036147,"about_ca_system_score_codex":0.00022940805,"about_ca_system_score_gemma":0.00062060123,"threshold_uncertainty_score":0.008954763},"labels":[],"label_agreement":null},{"id":"W1969195669","doi":"10.1029/2009gl039581","title":"Dispersion inversion of electromagnetic pulse propagation within freezing and thawing soil waveguides","year":2009,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Geology; Ground-penetrating radar; Dispersion (optics); Radar; Soil science; Atmospheric sciences; Optics; Physics","score_opus":0.023667286673642204,"score_gpt":0.29054850184717784,"score_spread":0.26688121517353564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969195669","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79725903,0.00008540647,0.20113194,0.000027859662,0.000007265215,0.000012633779,0.000112161964,0.00020668794,0.0011571085],"genre_scores_gemma":[0.9233175,0.00016464494,0.075288504,0.0000070951182,0.0000057219545,0.00001599059,0.00017394418,0.000027629894,0.0009989855],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999541,0.000007847361,0.0000022177096,0.0000096866315,0.00001933466,0.000006774287],"domain_scores_gemma":[0.9998292,0.00008085873,0.000032149706,0.000017383969,0.00003093417,0.0000093966055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014506308,0.00024973895,0.00009870106,0.00033927785,0.00010091829,0.00022665686,0.00019711547,0.00017623254,0.00030266593],"category_scores_gemma":[0.0005669392,0.00015682408,0.00010794051,0.0003020908,0.00018819123,0.00034496005,0.00021933159,0.00029643887,0.0000851139],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002890268,0.00008170284,0.010431573,0.00008195271,0.000044317097,0.0002487063,0.00043457965,0.12616087,0.716929,0.004830081,0.00025483963,0.14021328],"study_design_scores_gemma":[0.000025498617,0.00007431232,0.009397574,0.000012041696,0.000015603606,0.00012787421,0.00009718264,0.809708,0.17832765,0.0012344929,0.00095304317,0.00002677007],"about_ca_topic_score_codex":0.0023462444,"about_ca_topic_score_gemma":0.0028591335,"teacher_disagreement_score":0.0023462444,"about_ca_system_score_codex":0.00018862831,"about_ca_system_score_gemma":0.00029091485,"threshold_uncertainty_score":0.0046651363},"labels":[],"label_agreement":null},{"id":"W1969757486","doi":"10.4028/www.scientific.net/amm.577.1114","title":"Detecting the Defects in Concrete Components with Impact-Echo Method","year":2014,"lang":"en","type":"article","venue":"Applied Mechanics and Materials","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Transportation of Ontario","funders":"","keywords":"Echo (communications protocol); Pipeline (software); Nondestructive testing; Pipeline transport; Structural engineering; Acoustics; Reflection (computer programming); Engineering; Computer science; Mechanical engineering","score_opus":0.010776205518468654,"score_gpt":0.24444683806013814,"score_spread":0.23367063254166948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969757486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6257045,0.000810916,0.36958238,0.000107250125,0.00004925657,0.0001072978,0.00012125537,0.0007169889,0.002800164],"genre_scores_gemma":[0.87302834,0.00053977116,0.1236437,0.00006661503,0.000019774827,0.000034295317,0.00011500961,0.000028593007,0.0025238981],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993648,0.00006455584,0.000022631166,0.00011781255,0.00039056712,0.00003965724],"domain_scores_gemma":[0.99942845,0.00017575693,0.000086631335,0.00007924479,0.00019301374,0.000036896523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036133316,0.00045851237,0.00023937969,0.0012669173,0.0001364228,0.0002738676,0.0003941831,0.000566699,0.0010132403],"category_scores_gemma":[0.0008182029,0.00022908083,0.00023860973,0.00047924195,0.00036066724,0.00076237816,0.0004969304,0.00037871697,0.00029390614],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014968039,0.000091000635,0.009751955,0.00019637644,0.000032274547,0.00023550999,0.00026352584,0.0025805137,0.84521633,0.00052275584,0.00027904598,0.14068106],"study_design_scores_gemma":[0.0000416252,0.00093942106,0.049744073,0.000035095083,0.00014633023,0.0026459813,0.0004785561,0.07664696,0.86545813,0.00074863684,0.002996713,0.000118534386],"about_ca_topic_score_codex":0.0005887325,"about_ca_topic_score_gemma":0.0014276787,"teacher_disagreement_score":0.0012669173,"about_ca_system_score_codex":0.00014019695,"about_ca_system_score_gemma":0.0001879305,"threshold_uncertainty_score":0.0033896565},"labels":[],"label_agreement":null},{"id":"W1970255790","doi":"10.3189/172756500781832684","title":"Acoustic televiewer logging in glacier boreholes","year":2000,"lang":"en","type":"article","venue":"Journal of Glaciology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"U.S. Geological Survey; U.S. Department of Energy","keywords":"Borehole; Geology; Sonic logging; Inclinometer; Hydrogeology; Seismology; Well logging; Reflection (computer programming); Orientation (vector space); Geophysics; Geotechnical engineering; Geodesy; Geometry","score_opus":0.009418250944716475,"score_gpt":0.2520742044672259,"score_spread":0.2426559535225094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970255790","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9826605,0.00009766203,0.012903086,0.000038664133,0.000026910646,0.00016737053,0.0010971697,0.0009551891,0.002053343],"genre_scores_gemma":[0.97413504,0.00007989032,0.023653192,0.00001821103,0.000012061324,0.00009444555,0.0006656486,0.000050910654,0.0012906458],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99962735,0.000045845372,0.000018873581,0.00009812055,0.00015307202,0.000056677927],"domain_scores_gemma":[0.9989071,0.00023548002,0.000259433,0.00015557453,0.00036014445,0.000082241684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065250363,0.00027866257,0.00020548911,0.0013238632,0.00035729987,0.00032345962,0.00056721974,0.00025941362,0.001574385],"category_scores_gemma":[0.0011197804,0.00021334333,0.000110620895,0.0013226161,0.00037641483,0.0006400104,0.0005173943,0.00028608114,0.00028374698],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011700103,0.0005290081,0.27277106,0.00025898186,0.000026271708,0.0018018868,0.0053735287,0.0058989995,0.42218444,0.00047737098,0.0032979664,0.28621048],"study_design_scores_gemma":[0.00013070296,0.001018868,0.8483247,0.00009793924,0.000037292215,0.0010745269,0.0030895344,0.029611718,0.104445346,0.0003087333,0.011768642,0.00009192156],"about_ca_topic_score_codex":0.0097215045,"about_ca_topic_score_gemma":0.03196911,"teacher_disagreement_score":0.0097215045,"about_ca_system_score_codex":0.00039816147,"about_ca_system_score_gemma":0.0004070334,"threshold_uncertainty_score":0.019329846},"labels":[],"label_agreement":null},{"id":"W1972504504","doi":"10.1016/s0377-0273(99)00142-0","title":"Imaging the subsurface stratigraphy in the Ubehebe hydrovolcanic field (Death Valley, California) using ground penetrating radar","year":2000,"lang":"en","type":"article","venue":"Journal of Volcanology and Geothermal Research","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geology; Ground-penetrating radar; Stratigraphy; Radar; Seismology; Geomorphology; Tectonics","score_opus":0.0482171762671304,"score_gpt":0.3424906202573907,"score_spread":0.2942734439902603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972504504","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972523,0.00008060204,0.0004459709,0.00003433623,0.0000039073975,0.000009927328,0.00025934482,0.000037246256,0.0018762756],"genre_scores_gemma":[0.99777067,0.000092246744,0.001130765,0.000019932357,0.000004353255,0.000007798525,0.00029010524,0.0000044397757,0.00067965477],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999529,0.0000021347034,0.0000015267698,0.000013837623,0.00001553647,0.000014027788],"domain_scores_gemma":[0.9998957,0.000013421839,0.00001478403,0.000007155815,0.00004242166,0.000026536722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009878523,0.00013758823,0.00013827188,0.000614164,0.0005041624,0.00041178626,0.00026718818,0.0002533319,0.0004515359],"category_scores_gemma":[0.00017510811,0.00020971466,0.00005108417,0.00040999815,0.00024263226,0.00026692767,0.00025520343,0.00025252238,0.00010148137],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008026768,0.0006147766,0.6416145,0.00014302794,0.00009005188,0.001023635,0.0018112294,0.007597059,0.2279464,0.00045983534,0.0037966408,0.114100195],"study_design_scores_gemma":[0.000038572354,0.00005368844,0.99023634,0.000012536436,0.00002032103,0.00012798609,0.000625147,0.0056631956,0.0021160282,0.00007114862,0.0010266167,0.000008361011],"about_ca_topic_score_codex":0.08129141,"about_ca_topic_score_gemma":0.18240221,"teacher_disagreement_score":0.08129141,"about_ca_system_score_codex":0.0002467066,"about_ca_system_score_gemma":0.0005822315,"threshold_uncertainty_score":0.16163647},"labels":[],"label_agreement":null},{"id":"W1973183591","doi":"10.1016/j.jappgeo.2007.02.003","title":"Using radar direct wave for concrete condition assessment: Correlation with electrical resistivity","year":2007,"lang":"en","type":"article","venue":"Journal of Applied Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ground-penetrating radar; Radar; Corrosion; Electrical resistivity and conductivity; Nondestructive testing; Materials science; Slab; Geotechnical engineering; Attenuation; Acoustics; Composite material; Structural engineering; Geology; Engineering; Optics; Electrical engineering; Physics; Telecommunications","score_opus":0.02027193825785699,"score_gpt":0.29007156314164556,"score_spread":0.26979962488378856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973183591","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90592456,0.00067556597,0.08780274,0.00013753847,0.000062049934,0.00005368305,0.00041554373,0.00031146393,0.004616792],"genre_scores_gemma":[0.98954517,0.00039847603,0.009339163,0.00003028982,0.000030967814,0.000011207566,0.00016302068,0.000017853365,0.00046388683],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99957174,0.00013512251,0.000024769886,0.0000620699,0.00016923562,0.000037081412],"domain_scores_gemma":[0.9975345,0.0012275998,0.00034884107,0.00023023192,0.0005824651,0.000076282275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074173877,0.00048481883,0.00035068224,0.001641307,0.00013195701,0.00065396854,0.00028695338,0.00076551695,0.0009836616],"category_scores_gemma":[0.0040913615,0.0002726725,0.00020873497,0.0012166991,0.0003720788,0.0009166438,0.00040250845,0.0003971192,0.00053481874],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013026649,0.0005924861,0.41402283,0.000405906,0.00025157427,0.0008485143,0.0003213833,0.043997116,0.25693682,0.0012932019,0.0015282327,0.27849928],"study_design_scores_gemma":[0.00015587987,0.0011855804,0.36403412,0.00007354984,0.0005352016,0.0034845416,0.0004952478,0.47835436,0.14642176,0.0027882366,0.0023241069,0.00014755948],"about_ca_topic_score_codex":0.0005468641,"about_ca_topic_score_gemma":0.0013751823,"teacher_disagreement_score":0.001641307,"about_ca_system_score_codex":0.00011431691,"about_ca_system_score_gemma":0.00017237636,"threshold_uncertainty_score":0.003922701},"labels":[],"label_agreement":null},{"id":"W1973470438","doi":"10.1190/1.1444807","title":"A comparison of the correlation structure in GPR images of deltaic and barrier-spit depositional environments","year":2000,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"U.S. Air Force","keywords":"Ground-penetrating radar; Geology; Sedimentary depositional environment; Variogram; Radar; Kriging; Correlation; Facies; Spatial correlation; Geometry; Geomorphology; Statistics; Mathematics; Computer science; Structural basin","score_opus":0.0051033518505950864,"score_gpt":0.2315714937873717,"score_spread":0.2264681419367766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973470438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99763,0.000013523873,0.0018992348,0.000009318369,0.0000010133865,0.000002640124,0.000081576436,0.000042069187,0.00032052034],"genre_scores_gemma":[0.9976897,0.000018535355,0.0019371036,0.000005181731,0.0000022563377,0.0000025041018,0.00024743663,0.000011179087,0.00008615332],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998449,0.000025198338,0.0000086217115,0.000028438613,0.000052667816,0.000040127983],"domain_scores_gemma":[0.9994497,0.00018653982,0.00008136554,0.000045197612,0.00020169362,0.00003544591],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034511366,0.0001599717,0.00017769735,0.001282217,0.000102278296,0.00041459425,0.000118234115,0.00015293594,0.00038397074],"category_scores_gemma":[0.0012730221,0.0001638275,0.00013327709,0.00082230254,0.00021897115,0.00019999174,0.00024929456,0.00012745887,0.000114055365],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019295523,0.00022049158,0.4200995,0.0002295813,0.0002256513,0.002219345,0.0015559149,0.028311802,0.41548413,0.0012993109,0.0014449295,0.12697975],"study_design_scores_gemma":[0.00002125355,0.00009195682,0.9371036,0.000011123131,0.000057432713,0.0008036224,0.00044343507,0.037463583,0.023391543,0.00014302059,0.00043854836,0.00003080993],"about_ca_topic_score_codex":0.001548433,"about_ca_topic_score_gemma":0.0022213429,"teacher_disagreement_score":0.001548433,"about_ca_system_score_codex":0.00013849899,"about_ca_system_score_gemma":0.00015757699,"threshold_uncertainty_score":0.0030788183},"labels":[],"label_agreement":null},{"id":"W1974432316","doi":"10.1061/(asce)ps.1949-1204.0000161","title":"Demonstration and Evaluation of State-of-the-Art Wastewater Collection Systems Condition Assessment Technologies","year":2013,"lang":"en","type":"article","venue":"Journal of Pipeline Systems Engineering and Practice","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Deep River Science Academy","funders":"","keywords":"Pipeline transport; Engineering; Zoom; Laser scanning; Digitization; Telecommunications; Laser; Environmental engineering","score_opus":0.017391910692540705,"score_gpt":0.292220021234979,"score_spread":0.2748281105424383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974432316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95500076,0.0003757398,0.029100422,0.00093899627,0.00009763182,0.0022730676,0.0009385221,0.0008583504,0.010416604],"genre_scores_gemma":[0.92359716,0.0006320971,0.06644785,0.00019886611,0.00003123727,0.0012156958,0.0012756541,0.00008040022,0.006521116],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9961737,0.0006872876,0.00019376245,0.00044978844,0.0021653778,0.00033006846],"domain_scores_gemma":[0.9960437,0.00085900846,0.0003756633,0.00045902585,0.001852586,0.00041003773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005248736,0.0007574914,0.00041373592,0.00085031893,0.0006512226,0.0012181341,0.001828928,0.0016003813,0.0021659154],"category_scores_gemma":[0.004313811,0.00037316114,0.00058287027,0.00065276056,0.0006067808,0.0015003554,0.0011411536,0.0011922574,0.0005664242],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0043227826,0.032296754,0.036383603,0.0022758173,0.00028829186,0.0021054253,0.0015924255,0.05688928,0.5260285,0.005909279,0.01564051,0.31626737],"study_design_scores_gemma":[0.002378812,0.07564469,0.088086866,0.00029100614,0.00029722325,0.0014633244,0.001409261,0.1208535,0.65564966,0.0013767718,0.05229503,0.00025384862],"about_ca_topic_score_codex":0.005066294,"about_ca_topic_score_gemma":0.0062316577,"teacher_disagreement_score":0.005248736,"about_ca_system_score_codex":0.0020894173,"about_ca_system_score_gemma":0.002254006,"threshold_uncertainty_score":0.0277583},"labels":[],"label_agreement":null},{"id":"W1974585991","doi":"10.1016/j.jappgeo.2011.10.009","title":"2-D joint structural inversion of cross-hole electrical resistance and ground penetrating radar data","year":2011,"lang":"en","type":"article","venue":"Journal of Applied Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Polytechnique Montréal","funders":"","keywords":"Algorithm; Inversion (geology); Weighting; Thresholding; Geology; Computer science; Wavelet; Ground-penetrating radar; Synthetic data; Radar; Artificial intelligence; Physics; Seismology; Image (mathematics)","score_opus":0.042878123160334035,"score_gpt":0.2704289896708308,"score_spread":0.22755086651049675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974585991","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8813393,0.00010247189,0.11348969,0.0001301437,0.000057419777,0.000027653994,0.0008699633,0.0010902112,0.0028930136],"genre_scores_gemma":[0.9811039,0.0000444771,0.017230587,0.000023404637,0.000010360735,0.000012217935,0.00065982324,0.000039651062,0.0008754854],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998789,0.000015702472,0.0000058386936,0.00002799816,0.000037730617,0.00003382967],"domain_scores_gemma":[0.999841,0.000037350772,0.00002156105,0.000034156743,0.000052233434,0.000013764991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017072166,0.000531184,0.00034231483,0.00057709037,0.00014950901,0.00052071403,0.0003154781,0.0005906696,0.0014816448],"category_scores_gemma":[0.0006813146,0.00036581018,0.00039853307,0.0006426041,0.00019103217,0.0007071573,0.00045984058,0.00040459508,0.00049110054],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007138902,0.00035422118,0.03623234,0.00014078408,0.00019939408,0.00066393684,0.00034011705,0.5595371,0.2623477,0.0017070514,0.0022577639,0.13550575],"study_design_scores_gemma":[0.000045329634,0.00007723497,0.026580937,0.000009168463,0.0000385854,0.0001667445,0.000110334426,0.95101815,0.020444945,0.00046008732,0.0010157317,0.000032788972],"about_ca_topic_score_codex":0.0031067585,"about_ca_topic_score_gemma":0.0061157974,"teacher_disagreement_score":0.0031067585,"about_ca_system_score_codex":0.0001316717,"about_ca_system_score_gemma":0.00046769972,"threshold_uncertainty_score":0.006177366},"labels":[],"label_agreement":null},{"id":"W1976526270","doi":"10.1139/t99-097","title":"Testing of a new generation horizontal soil sampler","year":2000,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Sampling (signal processing); Directional drilling; Borehole; Drilling; Geology; Geotechnical engineering; Soil test; Horizontal and vertical; Environmental science; Engineering; Soil water; Soil science; Geodesy; Mechanical engineering","score_opus":0.03475871766173926,"score_gpt":0.2440136048094129,"score_spread":0.20925488714767362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976526270","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6659052,0.0006120828,0.32513204,0.00026527396,0.00019404732,0.0013245927,0.0011523158,0.0024266178,0.0029879063],"genre_scores_gemma":[0.6546977,0.00034288393,0.33687547,0.00040339652,0.00006593801,0.00068432535,0.0010907429,0.00015278575,0.005686763],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9970963,0.0004961944,0.00018285177,0.0004911475,0.0016089431,0.00012456762],"domain_scores_gemma":[0.9945523,0.0022100895,0.00048395104,0.00063296274,0.0019011896,0.00021945567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003232993,0.000529313,0.00050473824,0.00053038436,0.0002462535,0.00059869734,0.0016013408,0.0006205953,0.001966158],"category_scores_gemma":[0.0050783935,0.00039634536,0.00026995386,0.00034036947,0.00038765772,0.0008577352,0.0008265143,0.00023763572,0.0006337485],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015018292,0.00085391896,0.054565806,0.0009490802,0.00012849175,0.0003789325,0.0006668345,0.004599587,0.6753938,0.0017541834,0.0019627814,0.25724483],"study_design_scores_gemma":[0.0004317317,0.008184866,0.040736716,0.00011101531,0.00034526398,0.0029259603,0.00038272623,0.057083014,0.86049676,0.00058548985,0.0285796,0.00013673557],"about_ca_topic_score_codex":0.0014456174,"about_ca_topic_score_gemma":0.0022680901,"teacher_disagreement_score":0.003232993,"about_ca_system_score_codex":0.0005000722,"about_ca_system_score_gemma":0.0009039862,"threshold_uncertainty_score":0.01709789},"labels":[],"label_agreement":null},{"id":"W1976985039","doi":"10.1121/1.3508455","title":"Factors affecting the intelligibility of recorded speech: Considerations for forensic audio “best evidence”.","year":2010,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Canadian Mounted Police","funders":"","keywords":"Presentation (obstetrics); Intelligibility (philosophy); Computer science; Speech recognition","score_opus":0.06247440828167043,"score_gpt":0.3212220035357634,"score_spread":0.25874759525409297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976985039","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3767935,0.06894858,0.34643865,0.07333588,0.0026449137,0.0013407797,0.0007016807,0.00078612653,0.12900984],"genre_scores_gemma":[0.90854985,0.011384649,0.07368175,0.001973916,0.0008844154,0.00021305002,0.00013721974,0.0001704613,0.003004633],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9662397,0.013562688,0.0038329281,0.0011150187,0.014634884,0.0006147655],"domain_scores_gemma":[0.80481905,0.1557152,0.014731653,0.0050115613,0.018187096,0.0015353984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03716888,0.0008898985,0.0009305359,0.0030898682,0.0021171977,0.009785183,0.0018792124,0.0035700304,0.0041851723],"category_scores_gemma":[0.27283746,0.0006173292,0.0006425814,0.0011642788,0.0051572863,0.00614455,0.0035114652,0.0021868974,0.0015446123],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023565516,0.00043797086,0.12470579,0.0038545572,0.00041002367,0.016578691,0.017940894,0.01037632,0.047323607,0.072843604,0.011484154,0.6916878],"study_design_scores_gemma":[0.00027220388,0.004174334,0.35692057,0.0075257597,0.0015442586,0.09786552,0.05140627,0.03962056,0.13429303,0.1915631,0.1132231,0.0015912559],"about_ca_topic_score_codex":0.0017449954,"about_ca_topic_score_gemma":0.002500325,"teacher_disagreement_score":0.03716888,"about_ca_system_score_codex":0.0015689033,"about_ca_system_score_gemma":0.0023722,"threshold_uncertainty_score":0.19657016},"labels":[],"label_agreement":null},{"id":"W1977111233","doi":"10.1046/j.1365-2478.2002.00312.x","title":"Successful application of ground‐penetrating radar in the exploration of gem tourmaline pegmatites of southern California","year":2002,"lang":"en","type":"article","venue":"Geophysical Prospecting","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Pegmatite; Geology; Ground-penetrating radar; Radar; Seismology; Amplitude; SIGNAL (programming language); Borehole; Regional geology; Remote sensing; Mining engineering; Mineralogy; Computer science; Optics; Tectonics; Metamorphic petrology; Geotechnical engineering; Telecommunications","score_opus":0.019103268569223817,"score_gpt":0.23935753665907109,"score_spread":0.22025426808984727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977111233","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979685,0.000045168952,0.00021994166,0.000028267274,0.0000018477209,0.000010781789,0.00005690418,0.000021072767,0.0016474143],"genre_scores_gemma":[0.99861276,0.000031206375,0.0007735365,0.0000066609,0.0000011880585,0.0000023575776,0.000096869466,0.0000014607921,0.0004739586],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999534,0.0000057469897,0.0000011842629,0.000013393715,0.00001575206,0.000010543631],"domain_scores_gemma":[0.99994993,0.000009221034,0.000008928303,0.000006141725,0.000015256714,0.00001054462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011894246,0.0001433379,0.00005610524,0.00036446773,0.000434174,0.00022751556,0.00016558092,0.00015428082,0.00033889414],"category_scores_gemma":[0.00023968046,0.0000645967,0.00003800628,0.0002688112,0.00017523153,0.00008694837,0.00023905696,0.000105190666,0.000052292795],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009551772,0.00017646335,0.61361974,0.00023947857,0.000058837915,0.007800261,0.009821857,0.0054921852,0.13489497,0.0004962393,0.0023899944,0.2240548],"study_design_scores_gemma":[0.000026837704,0.00019650182,0.97240776,0.000021243535,0.000017401018,0.0008839322,0.0023601756,0.0036820609,0.010174299,0.000064273445,0.010154568,0.0000108542345],"about_ca_topic_score_codex":0.045153067,"about_ca_topic_score_gemma":0.12364895,"teacher_disagreement_score":0.045153067,"about_ca_system_score_codex":0.00029958863,"about_ca_system_score_gemma":0.00027941092,"threshold_uncertainty_score":0.08978051},"labels":[],"label_agreement":null},{"id":"W1977427945","doi":"10.2528/pier13062805","title":"AN IMPULSE SAMPLING APPROACH FOR EFFICIENT 3D TLM-BASED ADJOINT SENSITIVITY ANALYSIS","year":2013,"lang":"en","type":"article","venue":"Electromagnetic waves","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Sensitivity (control systems); Impulse (physics); Sampling (signal processing); Computer science; Mathematics; Physics; Electronic engineering; Engineering; Telecommunications; Classical mechanics","score_opus":0.011834544644303273,"score_gpt":0.24945363962614509,"score_spread":0.2376190949818418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977427945","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003722504,0.000016178716,0.9948585,0.000027651204,0.0000064021,0.000010342398,0.00002165177,0.00059208705,0.0007446946],"genre_scores_gemma":[0.1351752,0.00004590972,0.8633677,0.000051522864,0.000014169182,0.00013019326,0.00012246422,0.00023608706,0.00085671037],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997762,0.000064157786,0.000009392595,0.000018410092,0.00011089712,0.000020960299],"domain_scores_gemma":[0.99944204,0.00030872884,0.00003604918,0.00008839377,0.00010206947,0.000022656777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005006631,0.00047161023,0.00036009177,0.00051665824,0.0003248212,0.0006073221,0.000722575,0.0005536774,0.004054629],"category_scores_gemma":[0.0016602294,0.00035362432,0.00039194294,0.00046992788,0.0004018647,0.00058707275,0.00081849535,0.00085691095,0.0008340071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011232317,0.00011895186,0.0009572939,0.00012734975,0.000039370225,0.00018185453,0.00021913469,0.70371354,0.045102756,0.04478226,0.0028368065,0.20180836],"study_design_scores_gemma":[0.0000039654506,0.000008303016,0.00003911539,0.0000025439026,0.0000012444451,0.000017916496,0.0000070254678,0.9935777,0.0028420105,0.0026722963,0.0008228987,0.0000049612163],"about_ca_topic_score_codex":0.0014712253,"about_ca_topic_score_gemma":0.0020643382,"teacher_disagreement_score":0.004054629,"about_ca_system_score_codex":0.00044731778,"about_ca_system_score_gemma":0.00065912475,"threshold_uncertainty_score":0.01356411},"labels":[],"label_agreement":null},{"id":"W1978660213","doi":"10.1115/ipc2004-0762","title":"Telluric Compensation for Pipeline Test Station Survey on the Alliance Pipeline System","year":2004,"lang":"en","type":"article","venue":"2004 International Pipeline Conference, Volumes 1, 2, and 3","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Petroleum Technology Alliance Canada","funders":"","keywords":"Pipeline (software); Interval (graph theory); Compensation (psychology); Test (biology); Alliance; Marine engineering; Remote sensing; Geology; Environmental science; Engineering; Mechanical engineering; Geography","score_opus":0.03354235237364861,"score_gpt":0.27129088223267456,"score_spread":0.23774852985902595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978660213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75866246,0.0004105416,0.22439127,0.0005527047,0.0001732939,0.00025764192,0.0025079278,0.0027432996,0.010300897],"genre_scores_gemma":[0.8920886,0.00016453944,0.10347443,0.000065799744,0.00004585618,0.00012535982,0.0013801265,0.00010802138,0.0025471407],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99748874,0.00092667795,0.00014487513,0.0002225075,0.0010797705,0.00013744655],"domain_scores_gemma":[0.9954465,0.0008094527,0.0006489219,0.0008118868,0.0020721175,0.0002111049],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019255751,0.0003411885,0.00046586318,0.0013926665,0.0005714241,0.0005852785,0.0007798282,0.0005279082,0.0023820966],"category_scores_gemma":[0.011133158,0.00024234373,0.00024980158,0.002776067,0.00025231973,0.0010518187,0.00066651107,0.0005559869,0.0010475183],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010302522,0.000221619,0.3686699,0.0003564657,0.000094272364,0.00027951458,0.0012482468,0.023627758,0.13103297,0.0022584302,0.008299759,0.46288085],"study_design_scores_gemma":[0.00015089204,0.0010604509,0.6553612,0.000088407076,0.0001934656,0.00042937289,0.0012960999,0.22796926,0.081844114,0.001767579,0.029714186,0.00012494175],"about_ca_topic_score_codex":0.012792102,"about_ca_topic_score_gemma":0.03391684,"teacher_disagreement_score":0.012792102,"about_ca_system_score_codex":0.00085913634,"about_ca_system_score_gemma":0.0012100898,"threshold_uncertainty_score":0.025435328},"labels":[],"label_agreement":null},{"id":"W1980247241","doi":"10.1144/gsl.sp.2001.211.01.07","title":"GPR stratigraphy used to infer transgressive deposition of spits and a barrier, Lake Bonneville, Stockton, Utah, USA","year":2003,"lang":"en","type":"article","venue":"Geological Society London Special Publications","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of Calgary","funders":"","keywords":"Transgressive; Geology; Stratigraphy; Deposition (geology); Archaeology; Geomorphology; Paleontology; Geography; Sedimentary depositional environment; Sediment; Tectonics","score_opus":0.01963589158536098,"score_gpt":0.2554774072103334,"score_spread":0.23584151562497244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980247241","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983777,0.000031227486,0.00011685782,0.000012308338,0.0000011947246,0.0000083059185,0.00029860673,0.000019494066,0.0011342905],"genre_scores_gemma":[0.9982565,0.000033401033,0.00053369073,0.000011198587,0.0000010640143,0.000013087705,0.0005638761,0.0000038207127,0.0005833933],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99993753,0.000005441946,0.000003737489,0.000017317509,0.000021460351,0.000014595884],"domain_scores_gemma":[0.999856,0.00001825484,0.00003100181,0.000008103827,0.000060872502,0.000025784995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014667821,0.00018666452,0.00009623961,0.0011954939,0.0004418106,0.00042766938,0.00024970467,0.00016581238,0.0015665307],"category_scores_gemma":[0.00036280203,0.00010097613,0.00006596062,0.0008407483,0.0002533242,0.00022088586,0.00042494273,0.000089924164,0.0002170892],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000912681,0.000020852809,0.96944493,0.000034264205,0.00002404139,0.0002823413,0.0014583961,0.00066578813,0.009454216,0.00007475345,0.00062846206,0.01782061],"study_design_scores_gemma":[0.0000019091333,0.000012828351,0.99768925,0.0000047058757,0.0000042683,0.000027892813,0.00047190682,0.0008365566,0.00036897237,0.000012265811,0.0005677658,0.0000017180388],"about_ca_topic_score_codex":0.16364017,"about_ca_topic_score_gemma":0.5115983,"teacher_disagreement_score":0.16364017,"about_ca_system_score_codex":0.00090154377,"about_ca_system_score_gemma":0.0004963105,"threshold_uncertainty_score":0.32537538},"labels":[],"label_agreement":null},{"id":"W1980310110","doi":"10.1002/2013wr014331","title":"Time‐lapse borehole radar for monitoring rainfall infiltration through podosol horizons in a sandy vadose zone","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Groundwater recharge; Vadose zone; Infiltration (HVAC); Geology; Borehole; Water content; Ground-penetrating radar; Hydrology (agriculture); Capillary fringe; Soil science; Moisture; Soil water; Aquifer; Radar; Groundwater; Geotechnical engineering; Meteorology","score_opus":0.04433515972138163,"score_gpt":0.3343702954926854,"score_spread":0.29003513577130374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980310110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983273,0.000036455192,0.0010043193,0.000006011887,0.0000021655571,0.000011023165,0.00024416475,0.000055310335,0.00031328088],"genre_scores_gemma":[0.99742836,0.00003188063,0.002218257,0.0000063347416,0.0000028621428,0.000007935973,0.00019738365,0.0000027136393,0.00010426822],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99994564,0.000006461427,0.0000031195218,0.00001561699,0.000017920152,0.000011292252],"domain_scores_gemma":[0.9998683,0.000018495257,0.00004768846,0.000010182627,0.00003557148,0.000019868628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014199913,0.00015509901,0.00010100435,0.00048425645,0.000086233624,0.00015397309,0.00016334582,0.00015524801,0.00025230506],"category_scores_gemma":[0.00021219853,0.000078542005,0.00006355849,0.00030817938,0.000057741006,0.00015952859,0.00012726006,0.00010195947,0.00007489692],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024766053,0.00020100738,0.5302529,0.0000631966,0.000043573746,0.00043667995,0.0004059127,0.0021898623,0.42639482,0.00006273854,0.0004897963,0.03921189],"study_design_scores_gemma":[0.000012268543,0.00016454361,0.9781828,0.0000051085426,0.000018720664,0.00019797991,0.00016250381,0.00848513,0.012362533,0.000015024682,0.00038493477,0.000008464089],"about_ca_topic_score_codex":0.0034927158,"about_ca_topic_score_gemma":0.010805388,"teacher_disagreement_score":0.0034927158,"about_ca_system_score_codex":0.000093580216,"about_ca_system_score_gemma":0.00008132165,"threshold_uncertainty_score":0.0069447756},"labels":[],"label_agreement":null},{"id":"W1980422259","doi":"10.1190/1.2147867","title":"Application of Local Radon Transforms for dip‐dependent GPR image decomposition","year":2005,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Ground-penetrating radar; Radon; Decomposition; Geology; Computer science; Interpretation (philosophy); Image (mathematics); Radon transform; Computer graphics (images); Artificial intelligence; Physics; Telecommunications; Chemistry","score_opus":0.00550259753151247,"score_gpt":0.27261364485418704,"score_spread":0.2671110473226746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980422259","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01171252,0.00011813548,0.98699605,0.000033412747,0.000010855469,0.000014998444,0.000028059503,0.0003157218,0.00077022956],"genre_scores_gemma":[0.24289963,0.00059715944,0.7544101,0.000040225295,0.00003995415,0.00005437984,0.00020522188,0.00017729252,0.0015760409],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997625,0.00006831044,0.000012136939,0.00003438919,0.00010001647,0.000022734159],"domain_scores_gemma":[0.99966776,0.00013103965,0.00003657223,0.00006561897,0.00008545735,0.0000135751425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005055741,0.00039273436,0.00027255036,0.0005626825,0.00011968037,0.00044038479,0.00031177409,0.00026305718,0.0011189992],"category_scores_gemma":[0.0014042417,0.00015854502,0.00036162054,0.0006625437,0.00037904023,0.00048573653,0.00050250505,0.0005978508,0.0005095685],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013729796,0.00008973916,0.0015049536,0.00021602391,0.00006741836,0.00042910382,0.00020926396,0.08532659,0.28073567,0.03390732,0.0022492374,0.5951274],"study_design_scores_gemma":[0.000023587676,0.00014206168,0.002800235,0.000019846131,0.000060951097,0.0009910021,0.0001407721,0.84361,0.12972456,0.010790408,0.011642004,0.00005464173],"about_ca_topic_score_codex":0.0005004966,"about_ca_topic_score_gemma":0.00068516965,"teacher_disagreement_score":0.0011189992,"about_ca_system_score_codex":0.00012946752,"about_ca_system_score_gemma":0.00027972463,"threshold_uncertainty_score":0.00374341},"labels":[],"label_agreement":null},{"id":"W1980827410","doi":"10.1617/s11527-014-0498-x","title":"Numerical investigation of the role of embedded reinforcement mesh on electrical resistivity measurements of concrete using the Wenner probe technique","year":2014,"lang":"en","type":"article","venue":"Materials and Structures","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rebar; Electrical resistivity and conductivity; Materials science; Slab; Solid mechanics; Concrete cover; Composite material; Geotechnical engineering; Structural engineering; Geology; Reinforcement; Electrical engineering; Engineering","score_opus":0.01755352225100232,"score_gpt":0.24477217257753262,"score_spread":0.2272186503265303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980827410","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95456344,0.000079833146,0.043413125,0.000069635695,0.000011815401,0.00000980033,0.00004459154,0.0001621583,0.0016456067],"genre_scores_gemma":[0.9938159,0.000023806899,0.0059634773,0.0000030133897,0.0000016493002,0.0000034139114,0.000010089669,0.0000059306017,0.00017270562],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998536,0.000060295337,0.000007983116,0.00002379453,0.000040569765,0.000013824405],"domain_scores_gemma":[0.998254,0.0013209597,0.00015096992,0.00013295277,0.00011860901,0.000022436163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003907696,0.00022630423,0.00027364417,0.0002698854,0.00015570314,0.00024952236,0.00034346696,0.0006092727,0.00057863415],"category_scores_gemma":[0.0021626758,0.00016012356,0.00015816753,0.00026268174,0.0005017648,0.00040419394,0.00023376488,0.00020847502,0.000062281106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005631248,0.00018485426,0.010020119,0.00017181461,0.000049307935,0.00040134694,0.00028710108,0.74985856,0.20962536,0.0027292501,0.00021938194,0.025889702],"study_design_scores_gemma":[0.000007389287,0.00006369438,0.001636884,0.000004110672,0.000008763756,0.000025097675,0.000019977788,0.98389393,0.01416206,0.000102938444,0.00006858461,0.0000065903696],"about_ca_topic_score_codex":0.00151537,"about_ca_topic_score_gemma":0.001651824,"teacher_disagreement_score":0.00151537,"about_ca_system_score_codex":0.00017823034,"about_ca_system_score_gemma":0.00014819865,"threshold_uncertainty_score":0.003013134},"labels":[],"label_agreement":null},{"id":"W1980985356","doi":"10.1520/gtj101373","title":"New Slurry Displacement Method for Reconstitution of Highly Gap-Graded Specimens for Laboratory Element Testing","year":2008,"lang":"en","type":"article","venue":"Geotechnical Testing Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Slurry; Displacement (psychology); Geotechnical engineering; Materials science; Shear (geology); Laboratory test; Tailings; Direct shear test; Homogeneous; Soil test; Soil water; Geology; Composite material; Engineering; Metallurgy; Soil science; Mathematics","score_opus":0.0879725132674258,"score_gpt":0.3195536804432195,"score_spread":0.23158116717579372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980985356","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34041184,0.0020822287,0.6508167,0.0002782713,0.00035144962,0.00061444205,0.0003176576,0.001105877,0.004021549],"genre_scores_gemma":[0.5403753,0.0007626408,0.45441765,0.00012235783,0.000046180907,0.00041269942,0.0005788278,0.00010445847,0.0031798223],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99953926,0.0000768544,0.000050238894,0.00008987529,0.00021367733,0.000030107467],"domain_scores_gemma":[0.9995028,0.00009369099,0.0001022219,0.00013029955,0.00013287985,0.000038089787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006919773,0.00036187956,0.0002568144,0.00044302034,0.00018369469,0.00019405785,0.00061852706,0.00036478197,0.001251238],"category_scores_gemma":[0.0006582927,0.00026828863,0.00016562418,0.00016622889,0.00042340677,0.00041482417,0.0005139489,0.0005616243,0.00056328543],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025419455,0.000012050755,0.00017162495,0.000038991384,0.0000030175627,0.000057581365,0.0000308001,0.00008623427,0.9932882,0.00022689477,0.00008741576,0.0059717186],"study_design_scores_gemma":[0.000020716318,0.00030609537,0.002328118,0.000012694501,0.000013016083,0.0006427453,0.00003683287,0.0016858783,0.9854527,0.00008706845,0.00939995,0.000014224082],"about_ca_topic_score_codex":0.00029172475,"about_ca_topic_score_gemma":0.000883027,"teacher_disagreement_score":0.001251238,"about_ca_system_score_codex":0.0001551496,"about_ca_system_score_gemma":0.0002608735,"threshold_uncertainty_score":0.0041858554},"labels":[],"label_agreement":null},{"id":"W1981439416","doi":"10.1016/j.jhydrol.2010.12.036","title":"Investigating groundwater flow paths within proglacial moraine using multiple geophysical methods","year":2011,"lang":"en","type":"article","venue":"Journal of Hydrology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":89,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; University of Calgary","funders":"","keywords":"Bedrock; Geology; Moraine; Electrical resistivity tomography; Terminal moraine; Geomorphology; Groundwater; Ground-penetrating radar; Glacial period; Seismic refraction; Groundwater flow; Snowmelt; Hydrology (agriculture); Geophysics; Aquifer; Snow; Geotechnical engineering; Radar","score_opus":0.057542221826962975,"score_gpt":0.30730125792162455,"score_spread":0.24975903609466157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981439416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9887657,0.00008189434,0.010012454,0.000043373304,0.0000092956325,0.000013326723,0.00012763377,0.00013407461,0.00081225386],"genre_scores_gemma":[0.98701376,0.00004727485,0.012573752,0.0000047017957,0.000005239063,0.0000103784805,0.00008951781,0.000009555881,0.00024577207],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99989355,0.000020153211,0.000006185026,0.00003352719,0.000023848344,0.000022704811],"domain_scores_gemma":[0.9996991,0.00011362848,0.00004741322,0.000033074426,0.000071344155,0.000035343353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027465727,0.00038024614,0.0004204758,0.0013904646,0.00047746088,0.0007088198,0.00046422408,0.00040293572,0.00044776057],"category_scores_gemma":[0.0007675085,0.00028229124,0.00042140976,0.00093999173,0.00029350488,0.00046315356,0.00050541275,0.0002793366,0.000076928365],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010372687,0.00051987206,0.40414795,0.00018006608,0.00043166906,0.0015834253,0.0016575538,0.26980576,0.1526843,0.0026237306,0.0006680474,0.16466038],"study_design_scores_gemma":[0.000062440384,0.00015597811,0.11843622,0.000015970681,0.00011362507,0.0002402655,0.0005175999,0.8671521,0.011481731,0.00074247975,0.0010395264,0.00004206458],"about_ca_topic_score_codex":0.012707001,"about_ca_topic_score_gemma":0.022498047,"teacher_disagreement_score":0.012707001,"about_ca_system_score_codex":0.00040068288,"about_ca_system_score_gemma":0.00074096833,"threshold_uncertainty_score":0.025266051},"labels":[],"label_agreement":null},{"id":"W1981974752","doi":"10.1117/12.383602","title":"&lt;title&gt;Corrected GPR velocity and attenuation tomography of artifacts due to media anisotropy, borehole trajectory error, and instrumental drifts&lt;/title&gt;","year":2000,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Attenuation; Anisotropy; Tomography; Borehole; Geology; Amplitude; Inversion (geology); Trajectory; Algorithm; Optics; Computer science; Seismology; Physics","score_opus":0.009433114017224489,"score_gpt":0.21803017981998932,"score_spread":0.20859706580276483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981974752","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2976986,0.0008677171,0.54501784,0.0022812579,0.0036871275,0.00042508022,0.02266954,0.046391886,0.08096092],"genre_scores_gemma":[0.5374135,0.0006637236,0.3244726,0.00056977884,0.00030054944,0.00025542185,0.021407736,0.010863034,0.104053736],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99975127,0.000025244228,0.00002227226,0.000036669197,0.00012923361,0.00003534338],"domain_scores_gemma":[0.99900514,0.0001839585,0.00009931884,0.00028624604,0.00039501712,0.000030337802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055505923,0.00047795565,0.0004302945,0.0010684065,0.00027508262,0.00076024124,0.00067432324,0.00049960933,0.028703406],"category_scores_gemma":[0.0019853504,0.00019201683,0.00027851356,0.0012667503,0.00032569564,0.00087323535,0.0003941106,0.0003181721,0.010266403],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007021568,0.00016349861,0.0077235857,0.00045512017,0.00004884536,0.0010245118,0.00016537793,0.008061638,0.3598269,0.0064592385,0.12806788,0.48730123],"study_design_scores_gemma":[0.00010607035,0.00028495383,0.030488405,0.000053744927,0.00006092526,0.0017114793,0.00012953732,0.09150703,0.7000215,0.0022143202,0.17331304,0.000109050256],"about_ca_topic_score_codex":0.002562897,"about_ca_topic_score_gemma":0.0044796066,"teacher_disagreement_score":0.028703406,"about_ca_system_score_codex":0.0003418268,"about_ca_system_score_gemma":0.00048567035,"threshold_uncertainty_score":0.09602249},"labels":[],"label_agreement":null},{"id":"W1982344373","doi":"10.1002/ppp.463","title":"Imaging periglacial conditions with ground‐penetrating radar","year":2003,"lang":"en","type":"article","venue":"Permafrost and Periglacial Processes","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":143,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geological Survey of Canada; University of Calgary","funders":"","keywords":"Ground-penetrating radar; Permafrost; Geology; Radar; Reflection (computer programming); Active layer; Geomorphology; Geophysics; Remote sensing; Mineralogy; Layer (electronics)","score_opus":0.008406458002261133,"score_gpt":0.2378516765992034,"score_spread":0.22944521859694225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982344373","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9890226,0.0003842302,0.00869807,0.000027517197,0.000010059505,0.000012420124,0.00032853358,0.00011933164,0.0013972361],"genre_scores_gemma":[0.99547344,0.00010469926,0.0038908327,0.000023474748,0.000005666874,0.0000070531314,0.00021053076,0.00000662708,0.000277667],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999385,0.0000109895855,0.0000033051078,0.00001559161,0.000015414003,0.000016203187],"domain_scores_gemma":[0.99990857,0.00002792451,0.000017369937,0.000008302422,0.000028362065,0.000009432296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022076692,0.00014142213,0.00009307845,0.0006382701,0.00013439464,0.00035776242,0.00013589217,0.00029783577,0.0007693245],"category_scores_gemma":[0.0002255146,0.0001242532,0.00008420182,0.00047686533,0.0001158473,0.00026890912,0.00019491235,0.00015926064,0.00020495921],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008161849,0.00015403217,0.19523044,0.00016384305,0.00007824999,0.0009777757,0.00065776415,0.004504557,0.6609344,0.0002717597,0.00080100633,0.13540995],"study_design_scores_gemma":[0.00003139285,0.00049266824,0.9333181,0.0000262484,0.00006929364,0.0013379103,0.00089705,0.021310303,0.03972042,0.00048425875,0.0022886624,0.000023716508],"about_ca_topic_score_codex":0.0013020799,"about_ca_topic_score_gemma":0.0021020703,"teacher_disagreement_score":0.0013020799,"about_ca_system_score_codex":0.00009706856,"about_ca_system_score_gemma":0.000078558405,"threshold_uncertainty_score":0.0025889874},"labels":[],"label_agreement":null},{"id":"W1982499452","doi":"10.1117/12.486983","title":"Prediction and validation of soil electromagnetic characteristics for application in landmine detection","year":2003,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada; Geological Survey of Canada","funders":"","keywords":"Bedrock; Weathering; Soil water; Geology; Soil science; Clay minerals; Environmental science; Soil horizon; Electrical resistivity tomography; Geophysics; Geochemistry; Geomorphology; Electrical resistivity and conductivity","score_opus":0.008923251094809298,"score_gpt":0.21823665157293243,"score_spread":0.20931340047812313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982499452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93298674,0.00009223966,0.06529122,0.00006004416,0.000007203235,0.000053144562,0.00022233502,0.00037232827,0.00091469096],"genre_scores_gemma":[0.9872908,0.000036476944,0.01235126,0.0000071361637,0.0000016276304,0.00001748718,0.00012515912,0.000006224018,0.00016380074],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99971765,0.00012250569,0.000017138645,0.00003772036,0.00008343788,0.000021550723],"domain_scores_gemma":[0.99814093,0.00096213835,0.0002637547,0.00015561526,0.00042298474,0.000054472264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007888813,0.00037414324,0.00027727918,0.00049688417,0.00012315842,0.00038007816,0.00023847712,0.00041023898,0.00047469497],"category_scores_gemma":[0.0051138843,0.00014804301,0.00014815005,0.00042538307,0.0001575582,0.0003714566,0.00015797521,0.00019858104,0.00018753458],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059251726,0.00065559545,0.3385422,0.00020696412,0.00008981803,0.00026264688,0.00012430294,0.29334304,0.16776703,0.0006648843,0.00047936037,0.19727169],"study_design_scores_gemma":[0.000027579485,0.00044255037,0.087856635,0.000014449603,0.000030553016,0.00014922401,0.000071655566,0.8458823,0.064358704,0.00055591,0.0005916424,0.00001869347],"about_ca_topic_score_codex":0.0019574715,"about_ca_topic_score_gemma":0.0031085946,"teacher_disagreement_score":0.0019574715,"about_ca_system_score_codex":0.0002731721,"about_ca_system_score_gemma":0.00034836092,"threshold_uncertainty_score":0.0041720867},"labels":[],"label_agreement":null},{"id":"W1983745491","doi":"10.1016/j.jappgeo.2011.02.001","title":"Inversion of multiple intersecting high-resolution crosshole GPR profiles for hydrological characterization at the Boise Hydrogeophysical Research Site","year":2011,"lang":"en","type":"article","venue":"Journal of Applied Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Army Research Office; Research, Development and Engineering Command; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Boise State University","keywords":"Ground-penetrating radar; Geology; Water table; Radar; Inversion (geology); Remote sensing; Groundwater; Geomorphology; Structural basin; Geotechnical engineering","score_opus":0.053177917587843716,"score_gpt":0.2805559125052253,"score_spread":0.22737799491738162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983745491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924965,0.00004174222,0.0060472554,0.00011861124,0.000011820974,0.000011241882,0.00033746593,0.00016879839,0.0007665538],"genre_scores_gemma":[0.9943891,0.000026022448,0.0049762144,0.000011678094,0.0000061341125,0.0000050803505,0.00030907447,0.000016386472,0.00026030524],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983406,0.000028743741,0.000007672036,0.000036057852,0.000045115496,0.0000483447],"domain_scores_gemma":[0.9997019,0.000083027386,0.00003230382,0.000043001146,0.00009865003,0.0000410955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043520535,0.000395483,0.00042833298,0.0010038519,0.00027987055,0.00055778254,0.0006780047,0.00078104413,0.00083099824],"category_scores_gemma":[0.00078409,0.0004203792,0.00031167542,0.0007308731,0.0002735341,0.000721592,0.000472799,0.00046494638,0.00026465513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001397652,0.0016450791,0.17116624,0.00018937733,0.00030862563,0.0013848194,0.001296332,0.35912412,0.2645078,0.0013847064,0.0036236641,0.19397165],"study_design_scores_gemma":[0.00012411158,0.00015171993,0.16818546,0.000017439583,0.000082881386,0.0002036749,0.0005287719,0.812709,0.016563438,0.0004444401,0.00093318435,0.000055870452],"about_ca_topic_score_codex":0.018375412,"about_ca_topic_score_gemma":0.035303425,"teacher_disagreement_score":0.018375412,"about_ca_system_score_codex":0.00039567135,"about_ca_system_score_gemma":0.00095604616,"threshold_uncertainty_score":0.036536872},"labels":[],"label_agreement":null},{"id":"W1983767104","doi":"10.1108/02630801211228725","title":"Implications of rising groundwater level on structural integrity of underground structures – investigations and retrofit of a large building complex","year":2012,"lang":"en","type":"article","venue":"Structural Survey","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Professional Engineers Ontario","funders":"","keywords":"Infill; Basement; Civil engineering; Finite element method; Slab; Structural system; Engineering; Construction engineering; Structural engineering","score_opus":0.12284204816507632,"score_gpt":0.35398952785404764,"score_spread":0.2311474796889713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983767104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982602,0.000018830196,0.000768663,0.000022054257,0.0000014910117,0.000011726362,0.000035936024,0.0000145821605,0.000866468],"genre_scores_gemma":[0.9990571,0.000021163441,0.00070769066,0.000005410202,9.046262e-7,0.000002884145,0.000015047054,0.0000025312236,0.0001872103],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995745,0.00012904489,0.00002453918,0.00004729,0.00017561388,0.000048951475],"domain_scores_gemma":[0.99940956,0.00020551872,0.00012964252,0.00007540269,0.0001377183,0.000042242697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004811452,0.00018857725,0.00021671921,0.00055463053,0.0004978663,0.000530529,0.0004790581,0.00051548675,0.0010987195],"category_scores_gemma":[0.0009844463,0.00017189658,0.0002426938,0.00051089766,0.00075695344,0.00042640945,0.00047833033,0.00033819702,0.00016521093],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077060855,0.00054716185,0.44173884,0.00044738577,0.000115461,0.010393552,0.0059529557,0.098537885,0.3320958,0.0014634923,0.0007098132,0.107227154],"study_design_scores_gemma":[0.00002368735,0.0036396123,0.7896237,0.00008170394,0.00013442367,0.0031415287,0.016595166,0.08879767,0.09374764,0.001151488,0.0029279948,0.00013532236],"about_ca_topic_score_codex":0.005560454,"about_ca_topic_score_gemma":0.012754089,"teacher_disagreement_score":0.005560454,"about_ca_system_score_codex":0.00058035913,"about_ca_system_score_gemma":0.00036132504,"threshold_uncertainty_score":0.011056185},"labels":[],"label_agreement":null},{"id":"W1984422073","doi":"10.1190/segam2014-1110.1","title":"Multi-EM systems inversion - Towards a common conductivity model for the Tli Kwi Cho complex","year":2014,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Inversion (geology); Conductivity; Computer science; Geology; Physics; Seismology","score_opus":0.12107719892686562,"score_gpt":0.3178026417126764,"score_spread":0.19672544278581078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984422073","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65628684,0.000098053046,0.32783222,0.0008203111,0.000044347496,0.00012049475,0.0008840248,0.0011549516,0.01275867],"genre_scores_gemma":[0.93470174,0.000039231723,0.06277892,0.000110121735,0.000012740673,0.0000848977,0.0006047051,0.0001991618,0.0014684347],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982834,0.000031697247,0.000011167763,0.000038046855,0.00006380959,0.000026864365],"domain_scores_gemma":[0.9995229,0.0001478587,0.00005234885,0.00008184111,0.00015565309,0.00003940698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039721708,0.00041240855,0.00037340543,0.0006615981,0.00040605094,0.0009649185,0.00092513365,0.0006747124,0.0012424581],"category_scores_gemma":[0.001447781,0.00024158772,0.00057175284,0.0005892739,0.0004531788,0.0009318029,0.0008280062,0.001113949,0.00025571662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006762809,0.000065672786,0.012751732,0.000051614057,0.000023311452,0.0003291096,0.00024117598,0.9348454,0.02618716,0.008942565,0.0011823487,0.015312378],"study_design_scores_gemma":[0.000008857191,0.000009651246,0.0019112678,0.0000034281356,0.0000021044693,0.000020620037,0.000053178326,0.9941543,0.0020115625,0.0012110797,0.0006041923,0.000009866165],"about_ca_topic_score_codex":0.02620697,"about_ca_topic_score_gemma":0.02132644,"teacher_disagreement_score":0.02620697,"about_ca_system_score_codex":0.0013649332,"about_ca_system_score_gemma":0.00079742185,"threshold_uncertainty_score":0.052108884},"labels":[],"label_agreement":null},{"id":"W1984663708","doi":"10.1016/j.powtec.2009.03.017","title":"Modelling of oversized material flow through a horizontal hydrotransport slurry pipe to optimize its acoustic detection","year":2009,"lang":"en","type":"article","venue":"Powder Technology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Syncrude","keywords":"Slurry; Granular material; Acoustics; Acoustic emission; Flow (mathematics); Engineering; Materials science; Mechanical engineering; Geotechnical engineering; Mechanics; Composite material; Physics","score_opus":0.015162279218199466,"score_gpt":0.23234237821995019,"score_spread":0.21718009900175073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984663708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7648097,0.0002102287,0.22524881,0.0002933448,0.000057294812,0.0000865706,0.00032862427,0.00059434795,0.0083710775],"genre_scores_gemma":[0.98712975,0.000084455656,0.010731324,0.000011780241,0.000005805412,0.00003338319,0.00008833774,0.000023482746,0.001891771],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999174,0.000018301334,0.0000046091122,0.000022980597,0.00002161384,0.000015124116],"domain_scores_gemma":[0.99968326,0.00020916252,0.000032048712,0.000022658767,0.000037072783,0.000015831558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021061621,0.00041763572,0.0004673924,0.00021856232,0.00022539572,0.00062772655,0.0005488524,0.0012688199,0.0014068132],"category_scores_gemma":[0.0007123435,0.00030261604,0.00041044614,0.00023072066,0.00045491895,0.0004890957,0.00027255475,0.0003396996,0.00015509015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000074338124,0.000040230276,0.00096093264,0.00004140303,0.0000075653406,0.00009214635,0.000032163596,0.9819956,0.012336108,0.0007921226,0.0001162524,0.0035112703],"study_design_scores_gemma":[0.000004885609,0.000018643399,0.00020770651,0.000001116879,0.0000021080043,0.0000063349657,0.000005867642,0.99827826,0.0013352203,0.00006286209,0.00007496263,0.0000020388597],"about_ca_topic_score_codex":0.0058531286,"about_ca_topic_score_gemma":0.0031302555,"teacher_disagreement_score":0.0058531286,"about_ca_system_score_codex":0.0003895216,"about_ca_system_score_gemma":0.0006785842,"threshold_uncertainty_score":0.011638105},"labels":[],"label_agreement":null},{"id":"W1985456314","doi":"10.1190/geo2011-0467.1","title":"Inverting surface GPR data using FDTD simulation and automatic detection of reflections to estimate subsurface water content and geometry","year":2012,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Innovation Cluster (Canada)","funders":"Bundesministerium für Bildung und Forschung","keywords":"Ground-penetrating radar; Parameterized complexity; Finite-difference time-domain method; Geometry; Inversion (geology); Offset (computer science); Ground truth; Algorithm; Permittivity; Geology; Amplitude; Synthetic data; Radar; Dielectric; Computer science; Optics; Mathematics; Physics; Artificial intelligence","score_opus":0.13435754956761015,"score_gpt":0.37252702936799353,"score_spread":0.2381694798003834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985456314","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10977327,0.000022159596,0.88883716,0.000030308256,0.00001386851,0.000028425631,0.00005493562,0.00078116497,0.00045875114],"genre_scores_gemma":[0.4856725,0.000036446178,0.51346946,0.0000170499,0.0000051890775,0.00005103245,0.00018273348,0.000075159776,0.00049043016],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988616,0.000022157043,0.000008236293,0.000018759101,0.00005121105,0.000013424923],"domain_scores_gemma":[0.9997031,0.00011623818,0.000028424576,0.0000624506,0.000078967096,0.0000106587795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037355657,0.00042629807,0.00031350285,0.00036143704,0.00013605502,0.00038217768,0.00043989872,0.0003966003,0.0006044953],"category_scores_gemma":[0.0009428113,0.0002778672,0.000364706,0.00027635437,0.00024145187,0.00035624683,0.0003374286,0.0003789824,0.00023388481],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019212198,0.00008853575,0.0031108833,0.000094575356,0.000054519758,0.00011913436,0.00018841786,0.68141073,0.16213173,0.003033157,0.00045914817,0.14911702],"study_design_scores_gemma":[0.0000055751443,0.000010738412,0.00017603119,0.000001275805,0.0000020198925,0.000016058213,0.0000049682026,0.9914466,0.008046186,0.0001278476,0.00015894481,0.0000037997397],"about_ca_topic_score_codex":0.003371685,"about_ca_topic_score_gemma":0.0032718347,"teacher_disagreement_score":0.003371685,"about_ca_system_score_codex":0.0003277155,"about_ca_system_score_gemma":0.0005823392,"threshold_uncertainty_score":0.006704092},"labels":[],"label_agreement":null},{"id":"W1985958290","doi":"10.1117/12.383619","title":"&lt;title&gt;Borehole GPR measurement of soil water content during an infiltration experiment&lt;/title&gt;","year":2000,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; University of Waterloo","funders":"","keywords":"Ground-penetrating radar; Borehole; Infiltration (HVAC); Water content; Reflectometry; Geology; Point source; Soil science; Soil water; Measured depth; Offset (computer science); Water flow; Remote sensing; Geotechnical engineering; Geophysics; Radar; Optics; Time domain; Materials science; Composite material; Engineering","score_opus":0.021437050242117537,"score_gpt":0.23199147778134982,"score_spread":0.2105544275392323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985958290","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98147213,0.000084365405,0.009861128,0.000106180116,0.00008932996,0.00006421579,0.0010974875,0.0006470226,0.00657804],"genre_scores_gemma":[0.99123913,0.0000692749,0.004631502,0.000051282772,0.000014910992,0.000029046145,0.0007019264,0.000055982946,0.0032069804],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99992454,0.0000074653944,0.0000048799175,0.000016556936,0.000027360822,0.000019091973],"domain_scores_gemma":[0.99981576,0.00003790893,0.000022860146,0.000032601783,0.00005573368,0.000035044854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014401673,0.00016091394,0.00017127945,0.00019408541,0.00014154355,0.00013851323,0.00020293704,0.00022071703,0.0034137508],"category_scores_gemma":[0.00020450183,0.000067615714,0.00007766013,0.00022070167,0.00017317866,0.00023425954,0.0001997413,0.00018472098,0.0005847533],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052594696,0.0000782002,0.0018621683,0.000027057373,0.0000033870276,0.0002155052,0.000035558784,0.00040231578,0.9850867,0.00011175455,0.0014542919,0.010197167],"study_design_scores_gemma":[0.000105236446,0.0030592275,0.08696234,0.000010778791,0.000028349055,0.00037083204,0.00013582056,0.008701023,0.8903732,0.0002692039,0.009943515,0.00004055145],"about_ca_topic_score_codex":0.00097174593,"about_ca_topic_score_gemma":0.0019691675,"teacher_disagreement_score":0.0034137508,"about_ca_system_score_codex":0.0001186692,"about_ca_system_score_gemma":0.00008398403,"threshold_uncertainty_score":0.011420071},"labels":[],"label_agreement":null},{"id":"W1987024661","doi":"10.1016/j.tust.2005.12.105","title":"Application of controlled blasting during the construction of the Canadian underground research laboratory","year":2006,"lang":"en","type":"article","venue":"Tunnelling and Underground Space Technology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Atomic Energy (Canada)","funders":"","keywords":"Engineering; Rock blasting; Excavation; Civil engineering; Permission; Mining engineering; Construction engineering; Geotechnical engineering","score_opus":0.008535794977455482,"score_gpt":0.23876028204466485,"score_spread":0.23022448706720935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987024661","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97669935,0.00059672917,0.012897921,0.00012920765,0.000049234663,0.00018348283,0.00014832008,0.00011318547,0.009182439],"genre_scores_gemma":[0.9944417,0.00021937706,0.00362921,0.000021226762,0.000006334128,0.00003268255,0.000043499647,0.000011997649,0.0015939774],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995908,0.000033839955,0.000011339864,0.000052172574,0.000227374,0.00008451736],"domain_scores_gemma":[0.99944013,0.00013970776,0.000052079613,0.00005341928,0.0002643943,0.000050252744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045132762,0.0002456155,0.00026686917,0.0005644638,0.0011112002,0.000577142,0.00052531663,0.00034898167,0.0014024536],"category_scores_gemma":[0.0009947929,0.00018558762,0.0001426481,0.00040493518,0.0007023973,0.00019313322,0.000479624,0.00034500923,0.0001418366],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011481909,0.0001024049,0.006345541,0.0002373918,0.000011492765,0.00022810725,0.00061850715,0.004457706,0.9407372,0.00079349824,0.0004936773,0.04482637],"study_design_scores_gemma":[0.00018191521,0.0016533205,0.07254171,0.00004884517,0.00005913316,0.00022552053,0.00082956767,0.019345734,0.89201194,0.00026476913,0.012773312,0.000064250846],"about_ca_topic_score_codex":0.17268054,"about_ca_topic_score_gemma":0.22585787,"teacher_disagreement_score":0.82731944,"about_ca_system_score_codex":0.0022626421,"about_ca_system_score_gemma":0.0037654906,"threshold_uncertainty_score":0.3433509},"labels":[],"label_agreement":null},{"id":"W1987240475","doi":"10.1088/0022-3727/45/40/405401","title":"Modelling dielectric-constant values of concrete: an aid to shielding effectiveness prediction and ground-penetrating radar wave technique interpretation","year":2012,"lang":"en","type":"article","venue":"Journal of Physics D Applied Physics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Electromagnetic shielding; Ground-penetrating radar; Dielectric; Permittivity; Radar; Wave propagation; Materials science; Acoustics; Mechanics; Computer science; Physics; Optics; Composite material; Telecommunications","score_opus":0.01995612601782927,"score_gpt":0.2601547887122677,"score_spread":0.24019866269443846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987240475","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11442298,0.00046383232,0.87978923,0.00008139465,0.000020740015,0.000032492524,0.000076621465,0.0008194583,0.0042931917],"genre_scores_gemma":[0.8900788,0.0006006421,0.106797725,0.000013595882,0.0000102885015,0.00003792869,0.000110529894,0.00007389609,0.0022765505],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978095,0.000080436526,0.00001498731,0.000028036455,0.00008022622,0.000015350965],"domain_scores_gemma":[0.99961543,0.00019088775,0.00006434642,0.000055916815,0.0000617467,0.00001163113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000488735,0.00071763573,0.00043162226,0.0005575375,0.00018472326,0.00087824994,0.0005833944,0.0009117494,0.0009137383],"category_scores_gemma":[0.0014411825,0.00030337344,0.00038086995,0.0005713805,0.00035411937,0.0010110283,0.00033709803,0.00039909667,0.00053976174],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053424646,0.00005704988,0.0021399378,0.00012322573,0.000022639657,0.0002161877,0.00007805048,0.905919,0.04038664,0.005832097,0.00033809274,0.04483371],"study_design_scores_gemma":[0.000004927852,0.00004007884,0.0006089727,0.000012842676,0.000008335654,0.00012235947,0.000028740085,0.9831534,0.012901731,0.0021337734,0.00097335514,0.000011563487],"about_ca_topic_score_codex":0.0011855158,"about_ca_topic_score_gemma":0.0011017323,"teacher_disagreement_score":0.0011855158,"about_ca_system_score_codex":0.00031268856,"about_ca_system_score_gemma":0.00033149472,"threshold_uncertainty_score":0.0030567646},"labels":[],"label_agreement":null},{"id":"W1987327821","doi":"10.1016/j.ijrmms.2013.01.001","title":"Influence of local heterogeneity on Doorstopper stress measurements","year":2013,"lang":"en","type":"article","venue":"International Journal of Rock Mechanics and Mining Sciences","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Borehole; Stress (linguistics); Homogeneous; Stress field; Geology; Geotechnical engineering; Scale (ratio); Mechanics; Structural engineering; Finite element method; Engineering; Statistical physics; Physics","score_opus":0.03125574848697179,"score_gpt":0.29243906201571573,"score_spread":0.26118331352874397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987327821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9869854,0.000045748046,0.011888749,0.000021464119,0.0000133653675,0.000007320608,0.00018657236,0.00014508476,0.0007062197],"genre_scores_gemma":[0.9990754,0.0000073056653,0.0007332269,0.00000564044,0.0000031891625,0.0000030996678,0.00008401903,0.000018583081,0.00006949028],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991646,0.00015082501,0.000044592245,0.00030543449,0.00020765534,0.00012697918],"domain_scores_gemma":[0.9963701,0.0023911507,0.00030289844,0.00044808496,0.0003534204,0.00013432092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007669809,0.0002770926,0.0004141795,0.0005221479,0.00042104293,0.0005728471,0.000497213,0.00052892434,0.0009072302],"category_scores_gemma":[0.0044118306,0.00023958611,0.00019317817,0.00075841235,0.00036150648,0.0005221524,0.0005285738,0.00031700428,0.00021232967],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025219456,0.00035220938,0.38656417,0.0002647041,0.00029324536,0.0011655227,0.0008407147,0.12546422,0.41408595,0.000559089,0.0010531368,0.066835016],"study_design_scores_gemma":[0.000052168263,0.00044440856,0.61428225,0.00002474732,0.0002370622,0.00057659624,0.00052966323,0.25125617,0.13096252,0.0003970927,0.0011594042,0.00007789024],"about_ca_topic_score_codex":0.002529068,"about_ca_topic_score_gemma":0.0054113637,"teacher_disagreement_score":0.002529068,"about_ca_system_score_codex":0.00028316083,"about_ca_system_score_gemma":0.00023657727,"threshold_uncertainty_score":0.0050287247},"labels":[],"label_agreement":null},{"id":"W1987482109","doi":"10.1190/1.2356114","title":"Texture-based classification of ground-penetrating radar images","year":2006,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ground-penetrating radar; Artificial intelligence; Radar; Computer science; Fourier transform; Pattern recognition (psychology); Radar imaging; Covariance; Classifier (UML); Facies; Geology; Remote sensing; Mathematics; Statistics","score_opus":0.011158699195755436,"score_gpt":0.23201766085971678,"score_spread":0.22085896166396135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987482109","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92275023,0.000113786526,0.074682035,0.000054293032,0.000035752928,0.000047624926,0.00025463395,0.0004604594,0.0016011917],"genre_scores_gemma":[0.98997647,0.000033386492,0.009535566,0.00000881021,0.000006663068,0.0000059763643,0.00012875132,0.000009084562,0.00029542466],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997553,0.000041432515,0.000016933782,0.00005494022,0.00008790565,0.000043470372],"domain_scores_gemma":[0.99923456,0.00026371272,0.0001191927,0.0000576569,0.00029090903,0.000033986737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005090277,0.00027695947,0.00031247665,0.001585836,0.000097098644,0.0006802599,0.00025363255,0.00023555655,0.0006879531],"category_scores_gemma":[0.001894329,0.000089447625,0.00023891771,0.00076482166,0.00023593169,0.0003502417,0.00019362703,0.00019848942,0.00021456897],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012305203,0.00025793977,0.10483367,0.00021036838,0.00015399761,0.0004852495,0.00019626824,0.12573104,0.21178645,0.0010815115,0.0020440887,0.551989],"study_design_scores_gemma":[0.000012947515,0.000119867356,0.09973251,0.000012090032,0.000032005122,0.0001426658,0.00013455153,0.8789051,0.020199262,0.00032736635,0.00036313673,0.00001846605],"about_ca_topic_score_codex":0.004988211,"about_ca_topic_score_gemma":0.0034284894,"teacher_disagreement_score":0.004988211,"about_ca_system_score_codex":0.00039053778,"about_ca_system_score_gemma":0.00019821047,"threshold_uncertainty_score":0.009918392},"labels":[],"label_agreement":null},{"id":"W1987700200","doi":"10.1007/s12665-014-3318-2","title":"Field characterization and data integration to define the hydraulic heterogeneity of a shallow granular aquifer at a sub-watershed scale","year":2014,"lang":"en","type":"article","venue":"Environmental Earth Sciences","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Geological Survey of Canada","funders":"","keywords":"Aquifer; Hydraulic conductivity; Hydrogeology; Penetrometer; Geology; Hydrology (agriculture); Groundwater; Aquifer properties; Soil science; Environmental science; Geotechnical engineering; Groundwater recharge; Soil water","score_opus":0.017101748422796197,"score_gpt":0.23222835575899695,"score_spread":0.21512660733620076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987700200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74433625,0.00010573582,0.24524175,0.00014094338,0.000017633965,0.00020493982,0.0036254758,0.0027528387,0.0035743741],"genre_scores_gemma":[0.94246686,0.000046565736,0.054847185,0.000028472667,0.000007567658,0.000098208824,0.001940612,0.00004745379,0.00051719823],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9997334,0.000026771026,0.000035014204,0.00007982785,0.00008335608,0.000041715877],"domain_scores_gemma":[0.99921393,0.00014828754,0.00010319591,0.00017944266,0.0002970032,0.000058190646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044298172,0.00036774765,0.0004460189,0.0026896144,0.00036691717,0.0012685951,0.00051218714,0.00049001706,0.0013759735],"category_scores_gemma":[0.0011965128,0.0001802659,0.00029142617,0.0024414524,0.00028437097,0.0012634041,0.0006970317,0.00034525993,0.0002757885],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039721857,0.0014020116,0.32284895,0.0002584928,0.00018977323,0.00045359676,0.00075077446,0.17374596,0.13646008,0.004655543,0.0027633177,0.35607436],"study_design_scores_gemma":[0.000036023313,0.000104592,0.14253022,0.00002458456,0.00007504202,0.00013524888,0.00070164853,0.8193863,0.030351399,0.003763896,0.002834449,0.000056625187],"about_ca_topic_score_codex":0.012526222,"about_ca_topic_score_gemma":0.017058209,"teacher_disagreement_score":0.012526222,"about_ca_system_score_codex":0.00049414096,"about_ca_system_score_gemma":0.0010312977,"threshold_uncertainty_score":0.024906635},"labels":[],"label_agreement":null},{"id":"W1988420892","doi":"10.1016/j.crte.2009.08.003","title":"Monitoring water flow in a clay-shale hillslope from geophysical data fusion based on a fuzzy logic approach","year":2009,"lang":"en","type":"article","venue":"Comptes Rendus Géoscience","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Electrical resistivity tomography; Electrical resistivity and conductivity; Geomorphology; Oil shale; Geophysics; Geotechnical engineering; Mineralogy; Hydrology (agriculture)","score_opus":0.057462659227551595,"score_gpt":0.2845919670813663,"score_spread":0.22712930785381472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988420892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8003118,0.00010527707,0.19847335,0.00007665274,0.000007241664,0.00005407851,0.00009129096,0.00019169535,0.00068860536],"genre_scores_gemma":[0.9588133,0.00003375661,0.0409906,0.000010199326,0.0000036599579,0.000021331223,0.000037304842,0.000002030328,0.00008774749],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977237,0.000049963037,0.000019015297,0.00004864,0.000082718354,0.000027297237],"domain_scores_gemma":[0.9996239,0.00016820947,0.00007636612,0.000018366536,0.00008507889,0.000028038361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047601876,0.00028322806,0.00029992414,0.0011774063,0.00026024051,0.0005112986,0.00025992957,0.00033709078,0.00025965017],"category_scores_gemma":[0.0010119062,0.00019657529,0.00023705438,0.0005113883,0.0003479903,0.00044903968,0.00030969415,0.00016532566,0.000040563235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016511976,0.0003998235,0.042296685,0.00030669788,0.00017930461,0.0006063298,0.0007511784,0.37401405,0.26920083,0.002978029,0.0003675963,0.3072482],"study_design_scores_gemma":[0.00004002845,0.0001825111,0.012339513,0.000013128396,0.00004754194,0.00008600823,0.00011091605,0.9632439,0.02217969,0.0015699947,0.00015875434,0.000027938313],"about_ca_topic_score_codex":0.0031003822,"about_ca_topic_score_gemma":0.00409586,"teacher_disagreement_score":0.0031003822,"about_ca_system_score_codex":0.0005324551,"about_ca_system_score_gemma":0.00042632408,"threshold_uncertainty_score":0.00616467},"labels":[],"label_agreement":null},{"id":"W1989078719","doi":"10.1117/12.661484","title":"Neutralization and detection of buried landmines using a low-power microwave neutralization (LPMN) device","year":2006,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Neutralization; Microwave; Power (physics); Cavity magnetron; Materials science; Electrical engineering; Remote sensing; Computer science; Engineering; Physics; Telecommunications; Geology; Nanotechnology","score_opus":0.010377205333398996,"score_gpt":0.23004237590912352,"score_spread":0.21966517057572452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989078719","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97255695,0.0006547692,0.02332548,0.00021370055,0.000063351654,0.000065362656,0.000056320343,0.00015029963,0.0029139093],"genre_scores_gemma":[0.9753634,0.00021682944,0.021284124,0.00011179075,0.000025701158,0.00003538047,0.000057719066,0.000017214672,0.002887864],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997801,0.00003907913,0.00000884292,0.000058886126,0.00008484035,0.000028219754],"domain_scores_gemma":[0.9997843,0.000074176576,0.000038218313,0.000028715982,0.000057719823,0.000016841794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027975318,0.00020961511,0.0002590256,0.00017381209,0.00020806416,0.00048236118,0.00051837583,0.0003175866,0.00081466814],"category_scores_gemma":[0.00039831255,0.00013639158,0.0001519681,0.00009897277,0.00039164958,0.00057446,0.00028980584,0.00031890336,0.000201331],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000066705514,0.000023020077,0.00038887252,0.000038590737,0.000004514062,0.000067828914,0.000077204626,0.00006525967,0.99385464,0.00022856744,0.00008393007,0.0051009245],"study_design_scores_gemma":[0.000020813537,0.0005742556,0.0020299417,0.0000051086486,0.000015228512,0.0005635034,0.00008163515,0.0018216082,0.9905978,0.00006685208,0.004211481,0.000011855204],"about_ca_topic_score_codex":0.00041572656,"about_ca_topic_score_gemma":0.00054905907,"teacher_disagreement_score":0.00081466814,"about_ca_system_score_codex":0.00037732953,"about_ca_system_score_gemma":0.00012594348,"threshold_uncertainty_score":0.002737701},"labels":[],"label_agreement":null},{"id":"W1989473498","doi":"10.1190/1.1487053","title":"Examination of the relative influence of current gathering on fixed loop and moving source electromagnetic surveys","year":2001,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Energy; BP (Canada); University of Calgary","funders":"","keywords":"Loop (graph theory); Transmitter; Current (fluid); Conductor; Current source; Current loop; Frequency domain; Acoustics; Electrical conductor; Power (physics); Computer science; Physics; Telecommunications; Mathematics; Geometry","score_opus":0.013074213976433734,"score_gpt":0.2365025092108148,"score_spread":0.22342829523438107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989473498","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917183,0.000029562527,0.0074869096,0.000011600281,0.0000045694396,0.000008565462,0.000018052502,0.00009530077,0.00062705594],"genre_scores_gemma":[0.99925596,0.000011657814,0.00056998903,0.0000038517555,0.0000018706603,0.000002310878,0.000023216215,0.000007234913,0.00012393564],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994543,0.00017550771,0.00001647943,0.00008744304,0.00019230988,0.00007398913],"domain_scores_gemma":[0.9970541,0.0019322571,0.0002297086,0.00026234525,0.00043950693,0.00008199493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069100363,0.000317599,0.0003485506,0.0004679115,0.0001641269,0.00039669184,0.00023716717,0.00030072156,0.0009457033],"category_scores_gemma":[0.0049352143,0.0001767202,0.00030661264,0.00028371238,0.0003654212,0.0005941123,0.00057408126,0.00019797494,0.00013286444],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024040616,0.00016825089,0.024877269,0.0002637212,0.000101044294,0.0006956565,0.00043498463,0.14009862,0.78814167,0.00048286747,0.00020143988,0.042130437],"study_design_scores_gemma":[0.00013369581,0.009136601,0.18633574,0.000031290954,0.0002313413,0.0014906492,0.0008672144,0.32784617,0.47136465,0.00072443206,0.0017140488,0.00012416126],"about_ca_topic_score_codex":0.0005206386,"about_ca_topic_score_gemma":0.00035259486,"teacher_disagreement_score":0.0009457033,"about_ca_system_score_codex":0.00018657483,"about_ca_system_score_gemma":0.000118512704,"threshold_uncertainty_score":0.0036543608},"labels":[],"label_agreement":null},{"id":"W1990444357","doi":"10.1190/1.1817895","title":"Patch template correlation as a method for AVO analysis","year":2003,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Correlation; Statistics; Mathematics; Geometry","score_opus":0.01380227613512511,"score_gpt":0.3090609983664689,"score_spread":0.29525872223134375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990444357","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027232908,0.00009426302,0.9935541,0.000045287932,0.000051474355,0.000029732433,0.00010451114,0.0014537305,0.001943705],"genre_scores_gemma":[0.09172652,0.00027057432,0.89991826,0.000076303855,0.00014047872,0.00015926614,0.0004786702,0.0015399469,0.0056898817],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989023,0.00033208609,0.000038001286,0.00025602907,0.0003777101,0.000093893126],"domain_scores_gemma":[0.99801105,0.0007005409,0.00012543757,0.0005072229,0.0005580918,0.00009768855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012472568,0.0008172936,0.00069991796,0.0020324073,0.0006790507,0.0016107775,0.0012356614,0.00070607214,0.01172145],"category_scores_gemma":[0.006587509,0.0004977892,0.0009058672,0.0020003582,0.00071980665,0.0015292802,0.0015518796,0.0012606207,0.0037222798],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026963372,0.000068019384,0.003645087,0.00015956449,0.00013987291,0.0001864813,0.00032888714,0.035901155,0.03439438,0.054044258,0.0175154,0.85334724],"study_design_scores_gemma":[0.000033917637,0.00009304424,0.004332317,0.00004013666,0.00008463683,0.00043865794,0.00016173022,0.9016525,0.023213781,0.03651364,0.03336415,0.0000714487],"about_ca_topic_score_codex":0.002794083,"about_ca_topic_score_gemma":0.0028178096,"teacher_disagreement_score":0.01172145,"about_ca_system_score_codex":0.00045314015,"about_ca_system_score_gemma":0.00090466865,"threshold_uncertainty_score":0.039212167},"labels":[],"label_agreement":null},{"id":"W1991174240","doi":"10.1139/l99-041","title":"Laboratory experiments with an FM-CW reflectometry system proposed for detecting and monitoring bridge scour in real time","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bridge scour; Pier; Reflectometry; Geology; Geotechnical engineering; Sediment transport; Silt; Sediment; Continuous monitoring; Erosion; Hydrology (agriculture); Remote sensing; Geomorphology; Time domain; Engineering; Structural engineering","score_opus":0.013666547472876437,"score_gpt":0.2523402858519228,"score_spread":0.23867373837904637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991174240","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.932141,0.00007786754,0.066080146,0.000066073095,0.000038399434,0.00035897718,0.00015121498,0.00041582398,0.00067049015],"genre_scores_gemma":[0.9165216,0.00014088882,0.080778114,0.000098406446,0.000021868713,0.00042746216,0.00021297185,0.000028805653,0.0017699036],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995018,0.00010743682,0.000028013716,0.00015888903,0.0001488614,0.00005501746],"domain_scores_gemma":[0.99954456,0.00011243796,0.000094579285,0.00007242736,0.00012122432,0.000054765078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008118145,0.00060150505,0.00033378816,0.0002063845,0.00021829097,0.00029851176,0.00083392614,0.00056556374,0.0010368435],"category_scores_gemma":[0.00070692046,0.00019461632,0.00025142255,0.00019470988,0.00040044478,0.00036928518,0.0003348725,0.0004270019,0.0003392486],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004389758,0.0006199224,0.0023695983,0.000104802486,0.000023657944,0.00007548871,0.00009379663,0.0011387931,0.9870696,0.00010309259,0.00014004088,0.007822195],"study_design_scores_gemma":[0.00023280102,0.018404821,0.0094385035,0.000014597917,0.000095542884,0.00031069526,0.00009975542,0.020880101,0.94878256,0.00008884615,0.0016219097,0.000029893336],"about_ca_topic_score_codex":0.0007596344,"about_ca_topic_score_gemma":0.0006163756,"teacher_disagreement_score":0.0010368435,"about_ca_system_score_codex":0.0002203623,"about_ca_system_score_gemma":0.00033224994,"threshold_uncertainty_score":0.0042933226},"labels":[],"label_agreement":null},{"id":"W1991277057","doi":"10.1109/ceem.2006.257981","title":"GPR Zone of Influence of a Modern Electric Power Network","year":2006,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Safe Engineering Services & Technologies (Canada)","funders":"","keywords":"Electric power transmission; Ground-penetrating radar; Overhead (engineering); Ground; Fault (geology); Computation; Computer science; Geology; Electric power system; Power (physics); Engineering; Electrical engineering; Seismology; Telecommunications; Physics; Radar","score_opus":0.0037203128316996422,"score_gpt":0.20679278338227433,"score_spread":0.2030724705505747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991277057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9672531,0.00018649231,0.022376614,0.000052584415,0.000008348453,0.000009251071,0.00004974278,0.00012106099,0.009942762],"genre_scores_gemma":[0.9993869,0.000028124794,0.0004066339,0.0000023746356,0.0000021847645,8.7513973e-7,0.0000107878595,0.0000030508986,0.000159095],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976593,0.0000640292,0.000005599004,0.000023256014,0.000084972424,0.00005623586],"domain_scores_gemma":[0.999485,0.00027867904,0.000091506976,0.000033186003,0.00007210184,0.000039559596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002799597,0.00022293396,0.00018956553,0.0005343143,0.00026239437,0.00057598634,0.00026593017,0.00033575273,0.0010622785],"category_scores_gemma":[0.0012909182,0.00013074774,0.00018984028,0.00035178705,0.00047610202,0.00050255173,0.0005704905,0.00017881692,0.00009665688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006842335,0.000052628897,0.04739534,0.00008671827,0.000073131225,0.0032892437,0.00047987758,0.8926749,0.01654107,0.011626302,0.00076682237,0.026329814],"study_design_scores_gemma":[0.000029790828,0.00026191399,0.08103918,0.000023679939,0.00007620322,0.0019729708,0.0005540258,0.9000987,0.007612046,0.003328412,0.0049562627,0.00004678797],"about_ca_topic_score_codex":0.003580823,"about_ca_topic_score_gemma":0.0020815749,"teacher_disagreement_score":0.003580823,"about_ca_system_score_codex":0.0004777812,"about_ca_system_score_gemma":0.00018595553,"threshold_uncertainty_score":0.0071199536},"labels":[],"label_agreement":null},{"id":"W1991796013","doi":"10.1109/tsp.2014.2329276","title":"A Distributed Reflector Localization Approach to Ultrasonic Array Imaging in Non-Destructive Testing Applications","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Nondestructive testing; Ultrasonic testing; Ultrasonic sensor; Acoustics; Reflector (photography); Sample (material); Acoustic emission; Point (geometry); Computer science; Optics; Mathematics; Geometry; Physics","score_opus":0.014986777182578747,"score_gpt":0.2568266291297981,"score_spread":0.24183985194721935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991796013","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008850456,0.00008152092,0.9987154,0.000028349114,0.0000074954373,0.0000056396875,0.000006864661,0.00008054951,0.00018913194],"genre_scores_gemma":[0.11902298,0.0009206885,0.8754494,0.00018291383,0.00010921524,0.00009982776,0.00013422484,0.0001486346,0.003932043],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99931514,0.00022502648,0.000026092364,0.0001759738,0.00022843938,0.00002934791],"domain_scores_gemma":[0.99941564,0.0002392877,0.000071315684,0.000107636246,0.00014700742,0.00001906632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005122764,0.0010103085,0.0005692865,0.0006110679,0.00016415447,0.0006030776,0.0013184174,0.0010616042,0.001171582],"category_scores_gemma":[0.0015285821,0.0003996291,0.00078677025,0.0007503858,0.0005158812,0.00128667,0.0007890249,0.00089170306,0.0009042318],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020528668,0.00018307501,0.0009283097,0.00040235062,0.00015637164,0.00034903028,0.00026152082,0.31943446,0.1999141,0.060564734,0.0024837367,0.4151169],"study_design_scores_gemma":[0.000012917061,0.000118091375,0.00020694753,0.000011820197,0.000024915178,0.00023996126,0.000020076768,0.97059244,0.017290637,0.0077507445,0.003703161,0.000028335417],"about_ca_topic_score_codex":0.00074210286,"about_ca_topic_score_gemma":0.0009483895,"teacher_disagreement_score":0.0013184174,"about_ca_system_score_codex":0.00039716254,"about_ca_system_score_gemma":0.0004256303,"threshold_uncertainty_score":0.003919363},"labels":[],"label_agreement":null},{"id":"W1992093957","doi":"10.2113/jeeg11.1.43","title":"UXO Time-Constant Estimation from Helicopter-Borne TEM Data","year":2006,"lang":"en","type":"article","venue":"Journal of Environmental and Engineering Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"General Motors (Canada)","funders":"United States Atomic Energy Commission","keywords":"Unexploded ordnance; Remote sensing; Rocket (weapon); Sensitivity (control systems); Transient (computer programming); Range (aeronautics); Sampling (signal processing); Geology; Computer science; Optics; Aerospace engineering; Physics; Engineering","score_opus":0.005780564333732817,"score_gpt":0.18216028601251716,"score_spread":0.17637972167878435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992093957","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8328755,0.00037705805,0.15941761,0.00007525363,0.000055347966,0.000058662612,0.0012177463,0.00150832,0.0044145957],"genre_scores_gemma":[0.9482766,0.00013599853,0.049062036,0.000023316785,0.000021526777,0.000021724847,0.0014903088,0.00008773301,0.0008808375],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999089,0.000011793815,0.000005033895,0.00002827452,0.000030739007,0.000015241604],"domain_scores_gemma":[0.9996488,0.000078440426,0.00007220181,0.000031464162,0.00014203292,0.000027023234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022886689,0.00032131767,0.00021546321,0.0011227978,0.00015926977,0.00037699172,0.00026667968,0.00026540458,0.0010125359],"category_scores_gemma":[0.0011132355,0.0001255666,0.00013859423,0.00055984536,0.000088539186,0.0004821233,0.00026170307,0.00030401678,0.0004190477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010148403,0.0001310309,0.16221476,0.00032584445,0.00016150788,0.0005611117,0.00041968178,0.05003606,0.4533666,0.0012907244,0.0048302887,0.32564753],"study_design_scores_gemma":[0.00005145332,0.00022510633,0.31381953,0.00004264671,0.00008247742,0.00042337851,0.0003287498,0.56189823,0.114823304,0.00074779487,0.0074931467,0.00006421963],"about_ca_topic_score_codex":0.002405211,"about_ca_topic_score_gemma":0.0053749946,"teacher_disagreement_score":0.002405211,"about_ca_system_score_codex":0.00019633722,"about_ca_system_score_gemma":0.00014695541,"threshold_uncertainty_score":0.0047824383},"labels":[],"label_agreement":null},{"id":"W1993193159","doi":"10.1139/p02-124","title":"Transient fields of a vertical electric dipole on an <i>M</i>-layered dielectric medium","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Physics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Physics; Dipole; Dielectric; Transient (computer programming); Magnetic dipole; Convolution (computer science); Pulse (music); Transient response; Magnetic field; Computational physics; Mathematical analysis; Optics; Quantum mechanics; Electrical engineering; Mathematics","score_opus":0.012800702222494879,"score_gpt":0.22780893811974345,"score_spread":0.21500823589724857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993193159","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7471776,0.00039122216,0.20920601,0.0004643706,0.00012653823,0.00006875737,0.00025191376,0.0004294853,0.04188401],"genre_scores_gemma":[0.9840046,0.00020133064,0.0072615473,0.000053454205,0.00002690226,0.000019448342,0.00007192658,0.00002999433,0.008330727],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999505,0.0000068050977,0.0000010435687,0.000007609372,0.000016228312,0.000017720806],"domain_scores_gemma":[0.99986744,0.000052784755,0.00002368022,0.000010369817,0.000023089704,0.000022513184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000110578905,0.00026393798,0.00017944394,0.00015383368,0.00020987049,0.00046247922,0.00032194564,0.00027569674,0.0027384483],"category_scores_gemma":[0.00038304704,0.0001597516,0.000195813,0.00027419077,0.00053785613,0.0005050672,0.00056957855,0.00034309732,0.00033572296],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055210246,0.00010622397,0.0027366916,0.00022439157,0.000038825612,0.0026211662,0.00064891006,0.15524827,0.70725894,0.10269962,0.0025655397,0.025299348],"study_design_scores_gemma":[0.000071835806,0.00033388135,0.004665454,0.000044625653,0.000033262742,0.0011951013,0.0004240482,0.8418859,0.13050278,0.017093576,0.003680302,0.00006917282],"about_ca_topic_score_codex":0.00087310193,"about_ca_topic_score_gemma":0.00059048244,"teacher_disagreement_score":0.0027384483,"about_ca_system_score_codex":0.0004232238,"about_ca_system_score_gemma":0.00025407644,"threshold_uncertainty_score":0.0091609955},"labels":[],"label_agreement":null},{"id":"W1994194475","doi":"10.1016/j.nima.2011.02.093","title":"Tomography imaging of South African archaeological and heritage stone and pottery objects","year":2011,"lang":"en","type":"article","venue":"Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Connaught Fund","keywords":"Pottery; Natural (archaeology); Archaeology; Natural stone; Geology; Ceramic; Art; Mineralogy; Materials science; Geography; Metallurgy; Composite material","score_opus":0.049987029094009414,"score_gpt":0.32616541717686937,"score_spread":0.27617838808285994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994194475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905533,0.000305472,0.004289482,0.00009426952,0.0000044935864,0.000023315148,0.00024991838,0.00003730041,0.0044424282],"genre_scores_gemma":[0.99467564,0.00022786007,0.0035692875,0.000015808177,0.000003874411,0.0000092780765,0.000099710676,0.000014660372,0.0013837373],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999305,0.000007869119,0.000004261686,0.000015589492,0.000022715523,0.000018962488],"domain_scores_gemma":[0.9998543,0.00004094894,0.000036693586,0.000018228173,0.000041125604,0.000008668077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020765173,0.00019417185,0.00008621291,0.0014347183,0.00043739824,0.00057191687,0.00020172089,0.00041393714,0.002888253],"category_scores_gemma":[0.0007437922,0.00028673213,0.00008788055,0.0012581395,0.0004728817,0.0004021692,0.00036829463,0.00023392965,0.0002969452],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015691714,0.000087603476,0.11053706,0.0006414047,0.00006268583,0.0053286916,0.0073536895,0.0058330405,0.7788496,0.0051991483,0.001050112,0.08348782],"study_design_scores_gemma":[0.0000425752,0.00022938628,0.7839597,0.00015295613,0.00013987203,0.03016002,0.007088613,0.011851143,0.15326613,0.0010562228,0.011989669,0.00006373637],"about_ca_topic_score_codex":0.005536832,"about_ca_topic_score_gemma":0.008304764,"teacher_disagreement_score":0.005536832,"about_ca_system_score_codex":0.00028067513,"about_ca_system_score_gemma":0.00034572172,"threshold_uncertainty_score":0.011009216},"labels":[],"label_agreement":null},{"id":"W1994713147","doi":"10.1190/1.1817819","title":"Fresnel zones and the power of stacking used in the preparation of data for AVO analysis","year":2003,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Stacking; Power (physics); Geology; Physics; Nuclear magnetic resonance","score_opus":0.050055279616529426,"score_gpt":0.345487854668305,"score_spread":0.29543257505177556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994713147","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.069151536,0.0049712653,0.8757514,0.0024990945,0.00086206745,0.00037563982,0.0029438806,0.0038250403,0.039620034],"genre_scores_gemma":[0.40501904,0.0056479606,0.5720078,0.00032647664,0.000590866,0.0005525674,0.0040901736,0.0027644238,0.009000716],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9876308,0.0051881615,0.0009832488,0.0006939402,0.005024643,0.00047922187],"domain_scores_gemma":[0.95436263,0.02893364,0.0041800407,0.0059569464,0.006130632,0.00043597183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012053308,0.0012536795,0.0006797623,0.005472383,0.001822587,0.0047032516,0.001023568,0.0007086503,0.008157753],"category_scores_gemma":[0.07056585,0.0008787878,0.0008242292,0.006611831,0.0020167727,0.004468821,0.0031027086,0.0019210478,0.0028024737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000827209,0.000058790516,0.030092327,0.0006333048,0.0002363564,0.00032235798,0.0026936678,0.017936166,0.01797762,0.11692256,0.03182029,0.7804793],"study_design_scores_gemma":[0.00014558724,0.00044854436,0.16860119,0.0010896246,0.0005938899,0.0016990837,0.0045806034,0.11170665,0.1830094,0.2554496,0.2717255,0.0009504106],"about_ca_topic_score_codex":0.0067778835,"about_ca_topic_score_gemma":0.010432939,"teacher_disagreement_score":0.012053308,"about_ca_system_score_codex":0.0014503843,"about_ca_system_score_gemma":0.002904816,"threshold_uncertainty_score":0.06374478},"labels":[],"label_agreement":null},{"id":"W1994904136","doi":"10.1190/1.2755929","title":"Pseudo-full-waveform inversion of borehole GPR data using stochastic tomography","year":2007,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Polytechnique Montréal; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Slowness; Ground-penetrating radar; Tomography; Attenuation; Amplitude; Geology; Waveform; Time domain; Acoustics; Geophysics; Computer science; Algorithm; Radar; Physics; Seismology; Optics; Telecommunications","score_opus":0.03880865118825267,"score_gpt":0.2808653027238808,"score_spread":0.24205665153562816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994904136","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1594383,0.000035480407,0.8389372,0.00012457484,0.000013695936,0.000017309241,0.00011507739,0.0006076237,0.00071070227],"genre_scores_gemma":[0.88702166,0.000048346436,0.11222155,0.00003350773,0.000009743125,0.000023448787,0.00027142622,0.000050468712,0.00031987147],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998753,0.00004849266,0.000008128,0.000013944871,0.000042083968,0.000012025025],"domain_scores_gemma":[0.99932194,0.00039203124,0.000074262716,0.000081553706,0.0001015051,0.000028753797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004623113,0.0003397726,0.00024189541,0.00032700328,0.000134135,0.00045144054,0.00047838915,0.0004553604,0.00056143646],"category_scores_gemma":[0.0024522382,0.00024044473,0.00033572345,0.00042556034,0.0003731238,0.0006820877,0.00040731987,0.0003751774,0.00014641565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007156937,0.00003113949,0.0012961914,0.000033836557,0.000019256355,0.00007972591,0.000032947526,0.9631357,0.011526267,0.0044198413,0.00022132637,0.019132162],"study_design_scores_gemma":[0.0000039228366,0.000004466565,0.00011929319,8.340183e-7,7.8445584e-7,0.000009785041,0.0000019866986,0.9984303,0.0009147451,0.00046257616,0.000049270617,0.0000020168322],"about_ca_topic_score_codex":0.0030439831,"about_ca_topic_score_gemma":0.0022940224,"teacher_disagreement_score":0.0030439831,"about_ca_system_score_codex":0.00024177413,"about_ca_system_score_gemma":0.0006073959,"threshold_uncertainty_score":0.006052494},"labels":[],"label_agreement":null},{"id":"W1995422705","doi":"10.1002/jqs.844","title":"Architecture and evolution of a fjord‐head delta, western Vancouver Island, British Columbia","year":2004,"lang":"en","type":"article","venue":"Journal of Quaternary Science","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Geological Survey of Canada; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Simon Fraser University","keywords":"Geology; Marine transgression; Delta; Sea level; Holocene; Geomorphology; Progradation; Ground-penetrating radar; Pleistocene; Paleontology; Bedrock; Fjord; Quaternary; Sedimentary depositional environment; Oceanography; Radar","score_opus":0.0076632304607931355,"score_gpt":0.23900266636396814,"score_spread":0.231339435903175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995422705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918424,0.0005560882,0.00008534157,0.000074887736,0.000004767621,0.000025930514,0.00090062973,0.0000115878665,0.0064984164],"genre_scores_gemma":[0.99410605,0.0003771932,0.00027882197,0.000028058766,9.4525825e-7,0.0000158557,0.0006519459,0.0000047834446,0.0045362664],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998036,0.0000114476225,0.000009769386,0.000044514127,0.0000677043,0.00006295178],"domain_scores_gemma":[0.99936825,0.000022407059,0.00005340296,0.000016545218,0.00042451333,0.00011493971],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015539523,0.00019435468,0.00017122034,0.0022491042,0.0021013962,0.0017412025,0.0006212797,0.0002868467,0.0018672585],"category_scores_gemma":[0.0004405116,0.00022825017,0.000099543424,0.0032969287,0.0007670617,0.00016653618,0.0006555898,0.00019858502,0.0002816251],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000099294746,0.000049363465,0.9360495,0.00011448511,0.00006735915,0.00072170876,0.0037989297,0.00064779434,0.006642897,0.00044771764,0.0019106673,0.049450316],"study_design_scores_gemma":[0.0000017672767,0.0000071876434,0.99423754,0.000034412424,0.0000068536588,0.00007197216,0.0025654926,0.00016146254,0.00009828247,0.000019563975,0.002791079,0.000004342571],"about_ca_topic_score_codex":0.97451335,"about_ca_topic_score_gemma":0.99606496,"teacher_disagreement_score":0.025486648,"about_ca_system_score_codex":0.010288612,"about_ca_system_score_gemma":0.007286624,"threshold_uncertainty_score":0.07464945},"labels":[],"label_agreement":null},{"id":"W1996241045","doi":"10.1109/maes.2003.1224967","title":"Voting fusion adaptation for landmine detection","year":2003,"lang":"en","type":"article","venue":"IEEE Aerospace and Electronic Systems Magazine","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"General Dynamics (Canada)","funders":"","keywords":"Voting; Sensor fusion; False alarm; Computer science; Fusion; Constant false alarm rate; Heuristic; Scheme (mathematics); Real-time computing; Artificial intelligence; Computer vision","score_opus":0.012341721387509505,"score_gpt":0.22754665316208603,"score_spread":0.21520493177457653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996241045","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039343413,0.00019239298,0.95717216,0.00006888789,0.000080898295,0.000053257372,0.000031486583,0.0010419539,0.002015546],"genre_scores_gemma":[0.826136,0.00012720031,0.17084166,0.000092725015,0.00005292374,0.00006918737,0.00012330795,0.00007662413,0.0024803642],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990963,0.00022754974,0.000042781674,0.00019490255,0.00034199582,0.000096611555],"domain_scores_gemma":[0.99918634,0.0002746278,0.00006322026,0.00017518495,0.0002753747,0.000025195244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010077342,0.0004193092,0.0006822265,0.00039958948,0.00037698273,0.00047293218,0.00086246396,0.00056602916,0.0014901416],"category_scores_gemma":[0.003007221,0.00019315441,0.00038992878,0.0006441063,0.0003890305,0.0008129432,0.0007672284,0.000585814,0.0004951686],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005360048,0.00009498135,0.002430683,0.00009407212,0.000105063,0.00019044001,0.0001537962,0.20163259,0.09750434,0.009532877,0.0024573624,0.6852678],"study_design_scores_gemma":[0.000017057266,0.00011591896,0.0010718537,0.000005318661,0.000025896114,0.00015458743,0.000024294459,0.95485395,0.03596624,0.0041640745,0.003576922,0.000023803212],"about_ca_topic_score_codex":0.0016576461,"about_ca_topic_score_gemma":0.0018683671,"teacher_disagreement_score":0.0016576461,"about_ca_system_score_codex":0.0003464464,"about_ca_system_score_gemma":0.00029953095,"threshold_uncertainty_score":0.0053294897},"labels":[],"label_agreement":null},{"id":"W1996586691","doi":"10.1109/icgpr.2010.5550073","title":"Inference of vertical soil moisture distribution using high-frequency CMP and reflection traveltime analysis","year":2010,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ground-penetrating radar; Water content; Geology; Soil science; Reflection (computer programming); Petrophysics; Soil horizon; Radar; Porosity; Soil water; Geotechnical engineering","score_opus":0.013435989140261471,"score_gpt":0.284306043246999,"score_spread":0.27087005410673753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996586691","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94779503,0.000045391636,0.050954815,0.000009482464,0.0000025676682,0.000013991951,0.00034615342,0.000227011,0.0006055379],"genre_scores_gemma":[0.9814555,0.000031174182,0.018044662,0.000004425611,0.0000032819516,0.000007542282,0.00032346215,0.000015044575,0.00011501885],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998827,0.000021791602,0.0000058884893,0.000040165414,0.000031813295,0.000017717575],"domain_scores_gemma":[0.9997428,0.0000871828,0.000064416876,0.000029881989,0.000054917582,0.000020752488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020067689,0.00025860092,0.00012631681,0.0011808848,0.0000902995,0.0002491976,0.00021808667,0.00017749617,0.0004903215],"category_scores_gemma":[0.0008992467,0.00016022772,0.00014802438,0.0008355468,0.00011874879,0.00029690273,0.00018709467,0.00013883761,0.00014909345],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048070826,0.0001740336,0.39524063,0.00013442106,0.00010183346,0.00032057366,0.00019607117,0.024669167,0.33593145,0.0007182115,0.0004802203,0.24155265],"study_design_scores_gemma":[0.00003381725,0.00030185634,0.6131123,0.000013751697,0.00004985536,0.00041316357,0.00018375297,0.33865842,0.045486923,0.0007955646,0.00091647473,0.000034180917],"about_ca_topic_score_codex":0.003121066,"about_ca_topic_score_gemma":0.0042467923,"teacher_disagreement_score":0.003121066,"about_ca_system_score_codex":0.00014695835,"about_ca_system_score_gemma":0.00014383915,"threshold_uncertainty_score":0.006205797},"labels":[],"label_agreement":null},{"id":"W1996650025","doi":"10.2136/vzj2005.0099","title":"Advances in Soil Water Content Sensing: The Continuing Maturation of Technology and Theory","year":2005,"lang":"en","type":"article","venue":"Vadose Zone Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":128,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Vadose zone; Ground-penetrating radar; Reflectometry; Environmental science; Remote sensing; Water content; Soil science; Computer science; Geology; Hydrology (agriculture); Radar; Soil water; Time domain; Geotechnical engineering; Telecommunications; Computer vision","score_opus":0.00862397643946588,"score_gpt":0.2272068353994452,"score_spread":0.2185828589599793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996650025","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013655161,0.39007685,0.54297656,0.02105513,0.0027010492,0.00010876304,0.0002419131,0.00042005914,0.028764566],"genre_scores_gemma":[0.16042708,0.4610441,0.35690925,0.0055287285,0.0076353005,0.0002145284,0.00032452933,0.00020457113,0.0077119605],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99791914,0.00047388356,0.000115861134,0.0004349921,0.0009651306,0.000090945476],"domain_scores_gemma":[0.9928542,0.00513034,0.00034246748,0.00052599213,0.0010179777,0.00012900963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003750999,0.0010232638,0.0017496371,0.0021029287,0.0005184171,0.0035255721,0.002107981,0.0029924163,0.0029859191],"category_scores_gemma":[0.0062782653,0.0006701854,0.000748346,0.0029837794,0.004404282,0.0070209713,0.0023157177,0.0038111268,0.0014353339],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001349652,0.00014894971,0.003598648,0.0035121706,0.00011464302,0.0001644414,0.00062801194,0.010528205,0.017632574,0.2471105,0.010258884,0.70616806],"study_design_scores_gemma":[0.000044830085,0.0005106756,0.0032133833,0.0013844697,0.00008991881,0.0010054855,0.00096930505,0.060345042,0.018912897,0.38323513,0.5299831,0.00030572352],"about_ca_topic_score_codex":0.0011875355,"about_ca_topic_score_gemma":0.0008260285,"teacher_disagreement_score":0.003750999,"about_ca_system_score_codex":0.0017568123,"about_ca_system_score_gemma":0.001221075,"threshold_uncertainty_score":0.01983738},"labels":[],"label_agreement":null},{"id":"W1996967045","doi":"10.1115/pvp2012-78794","title":"Addressing the Challenge of Inspecting Buried Nuclear Piping in Nuclear Power Plants","year":2012,"lang":"en","type":"article","venue":"Volume 1: Codes and Standards","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Atomic Energy (Canada)","funders":"","keywords":"Nuclear power; Piping; Nuclear power plant; Engineering; Atomic energy; Nuclear industry; Forensic engineering; Civil engineering; Nuclear engineering; Mechanical engineering; Nuclear physics","score_opus":0.04207510670066435,"score_gpt":0.29847112404582576,"score_spread":0.25639601734516143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996967045","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23356542,0.0013234125,0.74716187,0.0015621452,0.00045159468,0.0005060496,0.00016478595,0.0017894033,0.013475289],"genre_scores_gemma":[0.4074036,0.001401943,0.5854824,0.00017546763,0.000059477603,0.00018379505,0.00018536065,0.00024433865,0.0048635523],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99435246,0.0012242591,0.00024222437,0.00034639527,0.0036834448,0.00015132304],"domain_scores_gemma":[0.98557717,0.0053561595,0.0010722355,0.0018839743,0.005896275,0.00021422758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045454386,0.00059658516,0.00048447,0.0024168233,0.0011886598,0.002011835,0.0018255095,0.0020264825,0.0015389925],"category_scores_gemma":[0.012115008,0.0004462175,0.00023063707,0.0016937944,0.0031318031,0.0021055678,0.0018677962,0.0014355951,0.00073441427],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026155493,0.0002735587,0.036988694,0.0011031377,0.000026682748,0.0014672764,0.005680403,0.035018656,0.38407952,0.01110322,0.004553087,0.51944417],"study_design_scores_gemma":[0.00009469208,0.0017419348,0.05126696,0.000929745,0.0000614227,0.008454149,0.012132145,0.16772543,0.6468905,0.03296053,0.07735062,0.00039178284],"about_ca_topic_score_codex":0.004664467,"about_ca_topic_score_gemma":0.014516119,"teacher_disagreement_score":0.004664467,"about_ca_system_score_codex":0.000951352,"about_ca_system_score_gemma":0.002484885,"threshold_uncertainty_score":0.024038851},"labels":[],"label_agreement":null},{"id":"W1997769587","doi":"10.1016/j.jhydrol.2012.02.041","title":"Assessing vertical soil moisture dynamics using multi-frequency GPR common-midpoint soundings","year":2012,"lang":"en","type":"article","venue":"Journal of Hydrology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Water content; Vadose zone; Soil science; Geology; Moisture; Ground-penetrating radar; Soil water; Environmental science; Subsoil; Hydrology (agriculture); Geotechnical engineering; Radar; Meteorology","score_opus":0.03444475084194541,"score_gpt":0.3271949884377803,"score_spread":0.29275023759583485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997769587","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99541,0.000024810388,0.0041447794,0.000008590488,0.000003494132,0.000008707454,0.0000964775,0.00004643987,0.00025678065],"genre_scores_gemma":[0.99675614,0.000027205986,0.0030307618,0.0000036728359,0.0000023213468,0.000003336987,0.00009591734,0.00000594092,0.00007466154],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997584,0.000043599128,0.000021627084,0.00005709166,0.00006889584,0.00005043085],"domain_scores_gemma":[0.9992455,0.00035810485,0.00009046406,0.00006257425,0.0001683682,0.00007509941],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004593311,0.00045340328,0.00032268037,0.001157831,0.00020815106,0.00058244326,0.00036166504,0.00078812585,0.00042585435],"category_scores_gemma":[0.0016193844,0.00029778352,0.00022654513,0.0007672978,0.00023290436,0.0013037167,0.0005434541,0.0002339147,0.00013692024],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012862008,0.0005770774,0.5526596,0.00015902458,0.0001899469,0.00063931005,0.000447483,0.062396333,0.2446311,0.0003855268,0.0004051078,0.13622338],"study_design_scores_gemma":[0.00006842672,0.0007399465,0.4590649,0.000016173897,0.00014234503,0.00038851722,0.0005952474,0.500393,0.03773601,0.00040325953,0.0003941563,0.000058025777],"about_ca_topic_score_codex":0.00344039,"about_ca_topic_score_gemma":0.005404165,"teacher_disagreement_score":0.00344039,"about_ca_system_score_codex":0.00022538475,"about_ca_system_score_gemma":0.00024266417,"threshold_uncertainty_score":0.006840706},"labels":[],"label_agreement":null},{"id":"W1998583181","doi":"10.1061/9780784404843.ch18","title":"The National Geotechnical Experimentation Sites Database","year":2000,"lang":"en","type":"book-chapter","venue":"American Society of Civil Engineers eBooks","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Dalhousie University","keywords":"Database; National database; Geotechnical engineering; Forensic engineering; Engineering; Civil engineering; Geology; Computer science","score_opus":0.02194515097396868,"score_gpt":0.2696828492594922,"score_spread":0.24773769828552353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998583181","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00087793625,0.00013308613,0.0015505877,0.00008768314,0.00003578946,0.00006344641,0.98181564,0.0017329049,0.013702975],"genre_scores_gemma":[0.0013304712,0.00017675696,0.001683372,0.000036226087,0.000008767423,0.00010353694,0.99204755,0.00026058714,0.0043527433],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988387,0.00012609403,0.0002450652,0.0001495393,0.00054332847,0.00009728776],"domain_scores_gemma":[0.99472576,0.0010599655,0.00040609404,0.0012989433,0.00212085,0.00038837112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013417592,0.0012664932,0.0011424925,0.009403932,0.00062665326,0.001766803,0.0019485562,0.00080850994,0.086798206],"category_scores_gemma":[0.0060113124,0.00047717066,0.0004970775,0.015827376,0.00027005322,0.0019018574,0.0013582789,0.0008864922,0.092652276],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000092427304,0.0000790593,0.0020864827,0.0003259643,0.000017858807,0.000038626746,0.00004801604,0.00070339907,0.00030190963,0.0022685295,0.96248716,0.031550545],"study_design_scores_gemma":[0.00006745773,0.00001562045,0.005656935,0.00013499352,0.000027331704,0.000052696203,0.00009787935,0.0013172757,0.00065675867,0.0025454129,0.9894024,0.00002517708],"about_ca_topic_score_codex":0.02895475,"about_ca_topic_score_gemma":0.04023528,"teacher_disagreement_score":0.086798206,"about_ca_system_score_codex":0.0008116478,"about_ca_system_score_gemma":0.0039621405,"threshold_uncertainty_score":0.2903689},"labels":[],"label_agreement":null},{"id":"W2001598109","doi":"10.1190/segam2014-0288.1","title":"Modelling the radio imaging method using electric dipoles in a homogeneous whole space","year":2014,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Homogeneous; Dipole; Space (punctuation); Radio frequency; Computer science; Physics; Telecommunications; Statistical physics","score_opus":0.014329048187390328,"score_gpt":0.25805806383155167,"score_spread":0.24372901564416133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001598109","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13356173,0.000205422,0.85118234,0.00020523205,0.000052087325,0.000119255456,0.00020619828,0.0004957769,0.013972012],"genre_scores_gemma":[0.89928174,0.00045556578,0.0879075,0.00008099213,0.00002542173,0.00017437666,0.00013196956,0.00011498004,0.01182747],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997757,0.000080711725,0.000010197466,0.00004348171,0.000063065396,0.000026819334],"domain_scores_gemma":[0.99953055,0.00027727342,0.00006352777,0.000040680694,0.00006964363,0.000018445915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045548435,0.0003748537,0.00030457266,0.00033623047,0.00019600352,0.00093364064,0.0007567162,0.001019856,0.0018608706],"category_scores_gemma":[0.001154814,0.00030872578,0.0006145147,0.0003580512,0.0007142509,0.0007688715,0.000658528,0.00039886523,0.00052012224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051172716,0.000018575362,0.0006930331,0.00005525792,0.000013788537,0.00015547352,0.00010496836,0.97700685,0.011804128,0.005450023,0.0001274618,0.0045194235],"study_design_scores_gemma":[0.000018830811,0.00006376478,0.00035471734,0.000011074963,0.000012738842,0.00010417423,0.000031379193,0.9927994,0.00377887,0.0015092641,0.0013028053,0.000013084164],"about_ca_topic_score_codex":0.0025827473,"about_ca_topic_score_gemma":0.0011639439,"teacher_disagreement_score":0.0025827473,"about_ca_system_score_codex":0.0004938709,"about_ca_system_score_gemma":0.0005156108,"threshold_uncertainty_score":0.0062251687},"labels":[],"label_agreement":null},{"id":"W2001709562","doi":"10.4028/www.scientific.net/amr.301-303.653","title":"Transient Analysis of Plane Wave Reflection from a Lorentz Half Space","year":2011,"lang":"en","type":"article","venue":"Advanced materials research","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Lorentz transformation; Laplace transform; Transient (computer programming); Correctness; Inversion (geology); Reflection (computer programming); Time domain; Algorithm; Simple (philosophy); Plane wave; Optics; Mathematical analysis; Mathematics; Physics; Computer science; Classical mechanics; Geology; Computer vision","score_opus":0.12882082317285903,"score_gpt":0.37886113666447957,"score_spread":0.25004031349162054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001709562","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15443617,0.0001252681,0.8399764,0.000055532382,0.000028301507,0.000030132254,0.000064268716,0.0005005417,0.0047834534],"genre_scores_gemma":[0.8745598,0.0003197722,0.120763406,0.000029633624,0.000020224337,0.00006734969,0.00015810742,0.00013169675,0.0039499365],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999913,0.000011031221,0.0000033550666,0.000012793952,0.0000455906,0.000014261106],"domain_scores_gemma":[0.99983525,0.000074591815,0.000019990941,0.00002441098,0.00003900748,0.000006706889],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022061478,0.00022363843,0.00027232902,0.0002826505,0.00014448591,0.00031927755,0.0003067284,0.00020914356,0.0012138186],"category_scores_gemma":[0.00050200307,0.00009915386,0.00029878196,0.00034409144,0.00025539377,0.00039092274,0.0002355999,0.0002769386,0.00026112408],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045952262,0.00009011514,0.0014077384,0.00019889939,0.00005900435,0.0004296786,0.00050413056,0.09007426,0.76577985,0.029661315,0.00098042,0.11035516],"study_design_scores_gemma":[0.000012539539,0.000116596406,0.0008818302,0.000009852623,0.000014549642,0.00023183013,0.00009564789,0.85370344,0.13975167,0.0032164745,0.001947083,0.0000185118],"about_ca_topic_score_codex":0.00033028683,"about_ca_topic_score_gemma":0.00018872294,"teacher_disagreement_score":0.0012138186,"about_ca_system_score_codex":0.00016493107,"about_ca_system_score_gemma":0.00023771188,"threshold_uncertainty_score":0.004060626},"labels":[],"label_agreement":null},{"id":"W2001717498","doi":"10.1109/aps.2013.6711315","title":"Electromagnetic domain decomposition for 2D multi-scatterer problem using randomly distributed sources","year":2013,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Method of moments (probability theory); Domain decomposition methods; Simple (philosophy); Scattering; Computer science; Computational electromagnetics; Domain (mathematical analysis); Algorithm; Decomposition; Mathematics; Mathematical analysis; Electromagnetic field; Physics; Optics; Finite element method","score_opus":0.01386944231250538,"score_gpt":0.2684966778607139,"score_spread":0.25462723554820854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001717498","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0040654377,0.00012316236,0.9948867,0.000044510078,0.000015384545,0.000010936609,0.000017397497,0.000057190613,0.0007793293],"genre_scores_gemma":[0.16913342,0.0009369319,0.82527554,0.00007100247,0.00007308537,0.00019111177,0.00025017574,0.00008898047,0.003979812],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998288,0.00006755366,0.0000062042504,0.00001832909,0.000064783584,0.000014274151],"domain_scores_gemma":[0.99978966,0.00012552792,0.000020368869,0.000018685467,0.00003439413,0.000011356764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036461963,0.0005282145,0.0006338687,0.0003781356,0.00020167627,0.000490852,0.00040255926,0.000706652,0.0015360599],"category_scores_gemma":[0.00047207644,0.00024510574,0.0005956548,0.00037391324,0.0003136969,0.00054661714,0.00065029756,0.0006623224,0.00047846098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015635678,0.00009580183,0.0007026014,0.00049873145,0.000057750363,0.00035490992,0.00019811132,0.7419617,0.049475282,0.066738635,0.0031636064,0.13659644],"study_design_scores_gemma":[0.000011199878,0.000029324754,0.000092583876,0.000010992704,0.000005306481,0.00010389829,0.00002056822,0.99129677,0.002409678,0.0041872505,0.0018242684,0.000008131566],"about_ca_topic_score_codex":0.00038753156,"about_ca_topic_score_gemma":0.00037027418,"teacher_disagreement_score":0.0015360599,"about_ca_system_score_codex":0.00017616736,"about_ca_system_score_gemma":0.00048298851,"threshold_uncertainty_score":0.0051386952},"labels":[],"label_agreement":null},{"id":"W2002418193","doi":"10.1117/12.486804","title":"Novel architecture for a hybrid acoustic-radar buried-object detection system","year":2003,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Defence Research and Development Canada","keywords":"Clutter; Radar; Acoustics; Computer science; Sonar; Intersection (aeronautics); Signature (topology); Vibration; Object detection; SIGNAL (programming language); Physics; Artificial intelligence; Pattern recognition (psychology); Engineering; Telecommunications","score_opus":0.009682122762610835,"score_gpt":0.22189164665676525,"score_spread":0.21220952389415443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002418193","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07432126,0.00048537808,0.9108239,0.00024579765,0.00019523612,0.00011482068,0.00007686901,0.006580651,0.0071560545],"genre_scores_gemma":[0.57917154,0.00036104268,0.4050981,0.00028998562,0.00014866235,0.00016553905,0.0001933499,0.00009540475,0.014476328],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996742,0.000029927678,0.00001730407,0.00007263931,0.00015728205,0.000048675356],"domain_scores_gemma":[0.9998055,0.000026602815,0.000019798703,0.000030415142,0.00008893903,0.000028855033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030836952,0.00037667862,0.00043040875,0.00037863682,0.00031208873,0.0007294387,0.0013344365,0.0006931739,0.0031549043],"category_scores_gemma":[0.00030245996,0.00032152573,0.00019034634,0.00020491172,0.000236046,0.0008186346,0.00064004393,0.00043431306,0.0020145357],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004269099,0.0002509917,0.001509157,0.00027798387,0.00010445797,0.000570754,0.00024837197,0.022644958,0.6908888,0.012171905,0.005532494,0.26537332],"study_design_scores_gemma":[0.00019826619,0.0011711203,0.0024863463,0.00006415172,0.00019702426,0.0016354461,0.000070666894,0.6296032,0.31263936,0.0042566354,0.047590885,0.00008689807],"about_ca_topic_score_codex":0.0006452848,"about_ca_topic_score_gemma":0.0009865189,"teacher_disagreement_score":0.0031549043,"about_ca_system_score_codex":0.0003718015,"about_ca_system_score_gemma":0.00031371272,"threshold_uncertainty_score":0.010554194},"labels":[],"label_agreement":null},{"id":"W2003296107","doi":"10.1109/usnc-ursi.2014.6955636","title":"Electromagnetic imaging inside metallic enclosures using the normal boundary field components","year":2014,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Electromagnetic shielding; Acoustics; Electromagnetic field; Electromagnetic reverberation chamber; Transverse plane; Physics; Boundary value problem; Microwave imaging; Optics; Electrical conductor; Noise (video); Computer science; Materials science; Microwave; Engineering; Telecommunications","score_opus":0.0127318768276732,"score_gpt":0.24468998285466795,"score_spread":0.23195810602699474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003296107","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3635388,0.0047834422,0.5865969,0.00068551605,0.0004784991,0.00011364721,0.00023404301,0.0008094275,0.042759717],"genre_scores_gemma":[0.7133613,0.0024978307,0.26731387,0.0001168724,0.00006993641,0.00004455071,0.00031053752,0.00012821816,0.01615688],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999039,0.000014753011,0.0000030836525,0.000020269457,0.000053664764,0.000004363536],"domain_scores_gemma":[0.9996995,0.00013135273,0.000043822656,0.00003986196,0.0000670705,0.000018343995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022524534,0.00024180133,0.00027599258,0.00018433231,0.000119528464,0.00050020544,0.000197633,0.0002844903,0.002764894],"category_scores_gemma":[0.000402022,0.00011129635,0.00012195147,0.00021305223,0.00040238257,0.0003161209,0.0002822673,0.00021437019,0.0007522918],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021037942,0.000028530032,0.001456882,0.00042001094,0.000020624295,0.00048424915,0.00013846807,0.010059353,0.88102597,0.005172891,0.0020278462,0.09895483],"study_design_scores_gemma":[0.000029457462,0.00049278786,0.008743962,0.00012741111,0.000059660495,0.0030726043,0.00018960355,0.1533368,0.7713784,0.0022393682,0.060275167,0.000054874195],"about_ca_topic_score_codex":0.00037606567,"about_ca_topic_score_gemma":0.000902558,"teacher_disagreement_score":0.002764894,"about_ca_system_score_codex":0.00021189787,"about_ca_system_score_gemma":0.00018470951,"threshold_uncertainty_score":0.009249449},"labels":[],"label_agreement":null},{"id":"W2003667949","doi":"10.1007/pl00001243","title":"Experimental Measurement of P-wave Attenuation Due to Fractures Over the 100 to 300 kHz Bandwidth","year":2001,"lang":"en","type":"article","venue":"Pure and Applied Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Attenuation; Perpendicular; Fracture (geology); Materials science; Waveform; Geology; Core (optical fiber); Composite material; Ultimate tensile strength; Optics; Geometry; Physics; Mathematics","score_opus":0.02283257193452133,"score_gpt":0.25972439331671093,"score_spread":0.23689182138218962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003667949","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921136,0.000078207675,0.0052980552,0.000032347947,0.000008585219,0.0000077066015,0.00013368411,0.00007278878,0.002255014],"genre_scores_gemma":[0.9974032,0.00008985676,0.0015809641,0.000011993716,0.0000042782535,0.000008619805,0.000097545846,0.000010653686,0.0007928353],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998528,0.000013929578,0.000005450527,0.000027976075,0.0000550572,0.000044706878],"domain_scores_gemma":[0.99935836,0.00033373438,0.00006775991,0.000057077472,0.00014600827,0.000036978337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001605354,0.00026884914,0.0001554256,0.00020667868,0.00036688146,0.00017453951,0.00035584904,0.00047589128,0.0026734765],"category_scores_gemma":[0.0005525329,0.00018657857,0.00010907265,0.0003126021,0.00050489197,0.00029147256,0.00024327693,0.00042608826,0.00036556544],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057481084,0.00011669746,0.0012232151,0.00004086684,0.000008223312,0.00009701075,0.00007026246,0.00034050943,0.9939612,0.00014605865,0.00007663117,0.0033446087],"study_design_scores_gemma":[0.000038708025,0.00055257074,0.015327452,0.0000060510797,0.000023821183,0.0002862488,0.00010636869,0.0027794107,0.98019856,0.00008558334,0.00058649306,0.000008788063],"about_ca_topic_score_codex":0.0009867469,"about_ca_topic_score_gemma":0.0014175592,"teacher_disagreement_score":0.0026734765,"about_ca_system_score_codex":0.00019324801,"about_ca_system_score_gemma":0.000118034615,"threshold_uncertainty_score":0.008943677},"labels":[],"label_agreement":null},{"id":"W2004214925","doi":"10.1109/icgpr.2012.6254853","title":"Robot mounted GPR for pipe inspection","year":2012,"lang":"en","type":"article","venue":"2012 14th International Conference on Ground Penetrating Radar (GPR)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Ground-penetrating radar; Offset (computer science); Radar; Robot; Computer science; Water pipe; Engineering; Marine engineering; Geology; Mechanical engineering; Telecommunications; Artificial intelligence","score_opus":0.058705866921594456,"score_gpt":0.32931169444029695,"score_spread":0.2706058275187025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004214925","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033299815,0.0022371276,0.92487746,0.0005949665,0.00047467204,0.00031085563,0.0007586177,0.0063513047,0.031095065],"genre_scores_gemma":[0.4469722,0.002235894,0.5188519,0.00040985725,0.00017018303,0.00026013074,0.0012575309,0.00031892798,0.029523375],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99951196,0.00012916054,0.000010287324,0.00008511172,0.00022636216,0.00003715931],"domain_scores_gemma":[0.99961406,0.000100159676,0.00004874136,0.000088791494,0.00012958844,0.000018792436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004128046,0.00057554326,0.00045351178,0.00049768266,0.00015915012,0.0004870665,0.0005832668,0.0008440848,0.009612275],"category_scores_gemma":[0.00083087874,0.0002657748,0.00024279377,0.000551345,0.00024941415,0.0006049622,0.00057051034,0.0005693427,0.006032284],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058848044,0.0001071563,0.0022693027,0.0007908176,0.000031919848,0.0007140154,0.00024325166,0.013377885,0.35419413,0.009660212,0.021443116,0.59657973],"study_design_scores_gemma":[0.00021238421,0.0038325863,0.024394471,0.00046126056,0.00013932516,0.0063951192,0.00046069914,0.2513554,0.2800751,0.010084754,0.42233786,0.0002509689],"about_ca_topic_score_codex":0.0003947724,"about_ca_topic_score_gemma":0.00052058353,"teacher_disagreement_score":0.009612275,"about_ca_system_score_codex":0.00028583335,"about_ca_system_score_gemma":0.00030392956,"threshold_uncertainty_score":0.03215623},"labels":[],"label_agreement":null},{"id":"W2004409369","doi":"10.1016/s0926-9851(01)00066-0","title":"Three-dimensional GPR study of a prehistoric site in Barbados, West Indies","year":2001,"lang":"en","type":"article","venue":"Journal of Applied Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McGill University","keywords":"Conch; Ground-penetrating radar; Excavation; Archaeology; Hearth; Geology; Artifact (error); Prehistory; Pottery; Mining engineering; Paleontology; Geography; Radar","score_opus":0.012085616486909758,"score_gpt":0.2318072372511812,"score_spread":0.21972162076427143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004409369","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99908113,0.000019629142,0.0000894013,0.000017217839,0.000002009466,0.000004317238,0.00013532538,0.0000068333347,0.00064404705],"genre_scores_gemma":[0.999215,0.000029609102,0.00019475681,0.000007812078,0.0000019513905,0.0000022451159,0.00016149171,0.0000041056664,0.00038306997],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999224,0.0000067294955,0.0000049090245,0.000016967424,0.000018091157,0.0000308837],"domain_scores_gemma":[0.9998816,0.000019126945,0.000021353648,0.000011936188,0.000039170598,0.000026747868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010569098,0.00016300243,0.00035723843,0.0006311884,0.0012115482,0.0006503146,0.0005376445,0.0006507604,0.00058033003],"category_scores_gemma":[0.00027577928,0.00019312512,0.00018362324,0.0011329639,0.0006571446,0.00023937442,0.00045397607,0.00034252324,0.00025439519],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013669806,0.0011399606,0.84919906,0.00018797084,0.00014975783,0.016252922,0.014261492,0.0060708034,0.07828217,0.0008662266,0.0012131212,0.031009559],"study_design_scores_gemma":[0.000010695755,0.00005030401,0.99425817,0.000008653711,0.000023343082,0.0005155005,0.002871448,0.0012004735,0.0005375138,0.000028957798,0.00048395418,0.0000109565835],"about_ca_topic_score_codex":0.23515442,"about_ca_topic_score_gemma":0.37765974,"teacher_disagreement_score":0.23515442,"about_ca_system_score_codex":0.0007154346,"about_ca_system_score_gemma":0.0006799686,"threshold_uncertainty_score":0.46757132},"labels":[],"label_agreement":null},{"id":"W2004457391","doi":"10.1007/bf02533080","title":"Influence of concrete relative humidity on the amplitude of Ground-Penetrating radar (GPR) signal","year":2002,"lang":"en","type":"article","venue":"Materials and Structures","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":80,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Ground-penetrating radar; Radar; Depth sounding; Moisture; Waveform; Amplitude; Water content; SIGNAL (programming language); Relative humidity; Environmental science; Acoustics; Materials science; Geotechnical engineering; Remote sensing; Solid mechanics; Geology; Meteorology; Composite material; Engineering; Optics; Telecommunications; Computer science; Physics","score_opus":0.02003335323492529,"score_gpt":0.23955086644829116,"score_spread":0.21951751321336588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004457391","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963141,0.0001261435,0.0024072877,0.000022167616,0.000019862207,0.0000033417289,0.000048620594,0.000033513337,0.0010250162],"genre_scores_gemma":[0.9996024,0.000046280573,0.00012118001,0.000005259579,0.000004188522,6.273823e-7,0.000027245267,0.000006452172,0.00018636012],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998286,0.000030777253,0.0000065594077,0.000028073402,0.00005562315,0.000050365416],"domain_scores_gemma":[0.9988943,0.0008017285,0.000055106644,0.00004606142,0.00013628652,0.00006652368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017094595,0.00019246481,0.00022732712,0.00017072767,0.0001358068,0.00025572468,0.000119744975,0.00031013912,0.0014428777],"category_scores_gemma":[0.0012887389,0.00014895589,0.00012675032,0.0001243421,0.00032309594,0.00022404884,0.00018433144,0.00026716932,0.0002386684],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022737687,0.00009695451,0.016483728,0.00008933453,0.000048557646,0.00071588595,0.0001861458,0.018484585,0.94455117,0.00023225417,0.00024427136,0.016593449],"study_design_scores_gemma":[0.000056679142,0.0007980663,0.16251276,0.000014918126,0.00012883522,0.0008862454,0.00030315382,0.10453086,0.7296699,0.00020472099,0.00084829,0.00004552721],"about_ca_topic_score_codex":0.0011989258,"about_ca_topic_score_gemma":0.0009825923,"teacher_disagreement_score":0.0014428777,"about_ca_system_score_codex":0.00012437506,"about_ca_system_score_gemma":0.000116390525,"threshold_uncertainty_score":0.0048269033},"labels":[],"label_agreement":null},{"id":"W2004649237","doi":"10.1111/j.1745-6584.2003.tb02564.x","title":"Radar Determination of the Spatial Structure of Hydraulic Conductivity","year":2003,"lang":"en","type":"article","venue":"Ground Water","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Permeameter; Hydraulic conductivity; Geology; Ground-penetrating radar; Radar; Spatial variability; Geotechnical engineering; Geomorphology; Soil science; Soil water; Engineering","score_opus":0.010412278832743654,"score_gpt":0.21975913909542136,"score_spread":0.2093468602626777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004649237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98798406,0.00013379115,0.010556369,0.000023547513,0.0000018248024,0.000005556691,0.00016170045,0.00005800955,0.0010751734],"genre_scores_gemma":[0.99616337,0.00008147275,0.003449122,0.000005442132,0.0000029145197,0.000003067307,0.00014829644,0.00000409783,0.00014211728],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99989414,0.000012776775,0.000005915952,0.000032275355,0.000026815886,0.000028062877],"domain_scores_gemma":[0.9995497,0.00011361865,0.00010667785,0.00003717453,0.0001671724,0.000025716668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022118365,0.00012709684,0.000121066834,0.000752688,0.00010859111,0.00032585338,0.0001816386,0.00014295639,0.0002685901],"category_scores_gemma":[0.001126501,0.0001512117,0.00006735385,0.00062941056,0.00022537271,0.00032174925,0.00021632262,0.00015776265,0.00013541408],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015893842,0.00006454868,0.2685789,0.0000967394,0.000034939385,0.00022158338,0.00042250284,0.0118511785,0.6237394,0.0012618608,0.00037032436,0.09319906],"study_design_scores_gemma":[0.000028042221,0.00017799283,0.810646,0.000022762664,0.000073979274,0.000696321,0.0003628779,0.082033746,0.10383961,0.00072643824,0.0013473296,0.00004493099],"about_ca_topic_score_codex":0.0054266034,"about_ca_topic_score_gemma":0.006739756,"teacher_disagreement_score":0.0054266034,"about_ca_system_score_codex":0.00022139993,"about_ca_system_score_gemma":0.0003183581,"threshold_uncertainty_score":0.01079005},"labels":[],"label_agreement":null},{"id":"W2004696151","doi":"10.1190/1.2369874","title":"Facies probability from mixture distributions with non‐stationary impedance errors","year":2006,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Facies; Electrical impedance; Geology; Probability distribution; Statistics; Mathematics; Geomorphology; Electrical engineering; Engineering","score_opus":0.006177410582808824,"score_gpt":0.21074729218145988,"score_spread":0.20456988159865105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004696151","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020458052,0.000052119653,0.9783879,0.000066708155,0.000008501851,0.000014928671,0.000065029024,0.00032000316,0.00062668935],"genre_scores_gemma":[0.75277203,0.00037114657,0.24174382,0.000071495255,0.00008198331,0.00012513607,0.00064512365,0.00028246111,0.003906687],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99942243,0.00011023124,0.000026877544,0.00012367478,0.0002535934,0.00006307944],"domain_scores_gemma":[0.9974088,0.0016301655,0.00029434837,0.00035310892,0.0002499439,0.00006355351],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001789838,0.0008126903,0.0005616731,0.0020537141,0.00036945028,0.0011883327,0.0014149002,0.0008633355,0.0027408677],"category_scores_gemma":[0.010113938,0.0006645224,0.00095570873,0.0012462877,0.0010999423,0.0026655723,0.0014276046,0.0012069886,0.0005062883],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016944404,0.000041428564,0.004036053,0.00006956928,0.000060433442,0.00016184662,0.00012305527,0.8226054,0.0037815636,0.08447112,0.00088458514,0.083595574],"study_design_scores_gemma":[0.000005145242,0.0000049735604,0.00046782068,0.0000051955467,0.0000059293884,0.000026758045,0.0000050171457,0.9796149,0.0007332348,0.018783683,0.0003368571,0.000010404028],"about_ca_topic_score_codex":0.0063379365,"about_ca_topic_score_gemma":0.005254027,"teacher_disagreement_score":0.0063379365,"about_ca_system_score_codex":0.0010435445,"about_ca_system_score_gemma":0.00080044963,"threshold_uncertainty_score":0.012602091},"labels":[],"label_agreement":null},{"id":"W2005213235","doi":"10.1190/1.1444842","title":"Multicomponent georadar data: Some important implications for data acquisition and processing","year":2000,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Ground-penetrating radar; Geology; Dipole; Reflection (computer programming); Dispersion (optics); Scattering; Geophysics; Radar; Acoustics; Seismology; Computer science; Optics; Physics","score_opus":0.057014587468350565,"score_gpt":0.313386532645362,"score_spread":0.2563719451770114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005213235","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19319743,0.0058666286,0.7680808,0.020861221,0.0012593699,0.00031282863,0.001569221,0.0008746545,0.007977861],"genre_scores_gemma":[0.5972274,0.0021041806,0.39587313,0.0008994316,0.0004997619,0.00022065602,0.000612678,0.00019776686,0.0023648622],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9987878,0.000551961,0.0000866875,0.00016026043,0.00037339178,0.000039945808],"domain_scores_gemma":[0.98676,0.01003719,0.00036372634,0.0011891187,0.0014798766,0.00017001781],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034016685,0.0005908768,0.00083036785,0.0008288437,0.0007223688,0.0022284936,0.0016961165,0.0018785176,0.002902207],"category_scores_gemma":[0.015681973,0.00041933559,0.0005411057,0.0027964597,0.0017851917,0.0026225469,0.0010891348,0.0013185781,0.0005544241],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004420405,0.0004611752,0.017533265,0.00041412417,0.00013014769,0.0019048131,0.0004354964,0.6733905,0.009783417,0.09198989,0.0074854842,0.19602965],"study_design_scores_gemma":[0.00006345491,0.0001520102,0.0034215332,0.000074027215,0.000028147608,0.0005332013,0.00035862025,0.9088293,0.004655992,0.073526144,0.008293178,0.00006440385],"about_ca_topic_score_codex":0.0031750256,"about_ca_topic_score_gemma":0.0027959237,"teacher_disagreement_score":0.0034016685,"about_ca_system_score_codex":0.00071800855,"about_ca_system_score_gemma":0.000684748,"threshold_uncertainty_score":0.017989933},"labels":[],"label_agreement":null},{"id":"W2005483495","doi":"10.2136/vzj2004.0143","title":"Numerical Modeling of GPR to Determine the Direct Ground Wave Sampling Depth","year":2005,"lang":"en","type":"article","venue":"Vadose Zone Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Guelph","funders":"","keywords":"Ground-penetrating radar; Water content; Sampling (signal processing); Soil science; Soil horizon; Dielectric permittivity; Moisture; Environmental science; Geology; Soil water; Radar; Permittivity; Dielectric; Geotechnical engineering; Meteorology; Materials science; Engineering; Geography","score_opus":0.06211235210007775,"score_gpt":0.29171620783354446,"score_spread":0.2296038557334667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005483495","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12649688,0.00019776894,0.864414,0.00018430964,0.00004507966,0.00009103181,0.00024728262,0.0010436516,0.007279976],"genre_scores_gemma":[0.8077406,0.0002678375,0.18854223,0.00004833138,0.000014391354,0.00020787911,0.00024957155,0.00009570664,0.0028334367],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997862,0.000060622333,0.000014352727,0.00003438161,0.000083161576,0.00002135996],"domain_scores_gemma":[0.99933237,0.00034960313,0.00006716875,0.00009170283,0.00014575044,0.000013458755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006010257,0.0003705208,0.00031155066,0.00032867922,0.0001865581,0.00042852512,0.0005322937,0.00064580125,0.0010090692],"category_scores_gemma":[0.002214698,0.00029812354,0.0003032248,0.00038211775,0.00029537475,0.00050111575,0.00033997366,0.00038211775,0.00042945525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006626633,0.00003511379,0.0014694938,0.000057067213,0.000011278513,0.000087648084,0.00007382665,0.9567832,0.02075596,0.005164729,0.0003759922,0.015119455],"study_design_scores_gemma":[0.0000041803955,0.00001142781,0.00022935515,0.0000023155442,0.0000016370823,0.000016872287,0.000003884803,0.9969459,0.002089999,0.00040190748,0.00028933655,0.0000031074776],"about_ca_topic_score_codex":0.0019002054,"about_ca_topic_score_gemma":0.0008941639,"teacher_disagreement_score":0.0019002054,"about_ca_system_score_codex":0.00031865507,"about_ca_system_score_gemma":0.00036604374,"threshold_uncertainty_score":0.0037782788},"labels":[],"label_agreement":null},{"id":"W2005957905","doi":"10.1007/s004450000111","title":"Mapping porosity variation in a welded pyroclastic deposit with signal and velocity patterns from ground-penetrating radar surveys","year":2001,"lang":"en","type":"article","venue":"Bulletin of Volcanology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geology; Radar; Porosity; Pyroclastic rock; Ground-penetrating radar; Mineralogy; Geomorphology; Volcano; Geotechnical engineering; Seismology","score_opus":0.010907343956626951,"score_gpt":0.20440537524910737,"score_spread":0.19349803129248042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005957905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986406,0.000023747154,0.0010378994,0.0000045739116,0.0000010083462,0.000002768266,0.000052717878,0.000022769107,0.00021408974],"genre_scores_gemma":[0.99891746,0.000014069825,0.00092528464,0.0000011318965,0.0000011808518,0.0000010922508,0.000042514876,0.0000031924617,0.0000941273],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99993,0.000004965034,0.000004044197,0.000024396884,0.000022369442,0.000014170745],"domain_scores_gemma":[0.9996729,0.00008090209,0.00008436669,0.000031907974,0.0000780705,0.000051911225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013908818,0.00017309579,0.00017466703,0.001343563,0.00023115531,0.00037366772,0.0003377013,0.0003013745,0.00037530906],"category_scores_gemma":[0.00057671615,0.00021962772,0.00012500666,0.0007759909,0.00025327902,0.0002830329,0.0002877978,0.00017637461,0.0000848324],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014263836,0.00034378105,0.43062186,0.00009199448,0.00012727156,0.0015360843,0.0008967137,0.017747818,0.4938718,0.0003506003,0.00025039384,0.052735306],"study_design_scores_gemma":[0.000025356534,0.00012419975,0.94170463,0.0000072484427,0.000056309873,0.00067507825,0.00023802719,0.036861658,0.019990573,0.00010903167,0.00018796271,0.000020058957],"about_ca_topic_score_codex":0.0072593545,"about_ca_topic_score_gemma":0.012304216,"teacher_disagreement_score":0.0072593545,"about_ca_system_score_codex":0.00018324702,"about_ca_system_score_gemma":0.00021663678,"threshold_uncertainty_score":0.014434218},"labels":[],"label_agreement":null},{"id":"W2006300127","doi":"10.4133/jeeg9.4.191","title":"Permittivity Measurements of High Conductivity Specimens using an Open-Ended Coaxial Probe—Measurement Limitations","year":2004,"lang":"en","type":"article","venue":"Journal of Environmental and Engineering Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Conductivity; Permittivity; Polarization (electrochemistry); Materials science; Electrical resistivity and conductivity; Coaxial; Dielectric; Admittance; Electrode; Electrical impedance; Analytical Chemistry (journal); Optics; Mineralogy; Physics; Chemistry; Electrical engineering; Optoelectronics","score_opus":0.09439361537484661,"score_gpt":0.2495139323647446,"score_spread":0.15512031698989798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006300127","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5774225,0.0024924339,0.41348797,0.00092689047,0.00026880036,0.00021268523,0.00031730652,0.00062806683,0.0042433287],"genre_scores_gemma":[0.8868033,0.0011976034,0.10985693,0.00029581168,0.000045197594,0.00013854555,0.00021320666,0.000070866416,0.0013784436],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9953177,0.0014419788,0.0004902429,0.0005958059,0.0020201635,0.00013406956],"domain_scores_gemma":[0.9825684,0.00901725,0.0016282063,0.0029936703,0.003582877,0.0002095296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003216316,0.00061119086,0.0005040762,0.00047772887,0.0005398389,0.00090611493,0.001249494,0.0010548447,0.0008228907],"category_scores_gemma":[0.012634914,0.000573796,0.00016526168,0.00072688016,0.0011526116,0.0021131248,0.00095439935,0.00062223437,0.0006428114],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016320666,0.000049474602,0.0051425435,0.00050281594,0.000023575285,0.00022601506,0.00053509674,0.0011268854,0.9576217,0.00088640547,0.00026793766,0.033454284],"study_design_scores_gemma":[0.000015054766,0.00044314572,0.012973231,0.00005218807,0.000038186485,0.0016277332,0.00055882835,0.009325342,0.96713746,0.0016114122,0.006170765,0.000046675912],"about_ca_topic_score_codex":0.00055266434,"about_ca_topic_score_gemma":0.0011500804,"teacher_disagreement_score":0.003216316,"about_ca_system_score_codex":0.00042164826,"about_ca_system_score_gemma":0.00027432412,"threshold_uncertainty_score":0.017009676},"labels":[],"label_agreement":null},{"id":"W2007019390","doi":"10.1190/tle31080962.1","title":"Determining magnetic susceptibility of ancient and modern potsherds using a fast, cheap, and portable probe","year":2012,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Archaeological science; Archaeology; Mineralogy; Geology; Magnetometer; Provenance; Geophysics; Geography; Physics; Geochemistry; Magnetic field","score_opus":0.033257803633210146,"score_gpt":0.2763845516068396,"score_spread":0.24312674797362946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007019390","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99686974,0.00023956799,0.0010956612,0.000013369459,0.000009848981,0.0000045058136,0.0001218686,0.00002211292,0.0016234294],"genre_scores_gemma":[0.9978689,0.000096603275,0.0008279477,0.0000148784475,0.0000064602314,0.0000031373693,0.00008777996,0.000009244117,0.0010850533],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998989,0.000008381483,0.000004958284,0.000039518993,0.000034863813,0.000013349615],"domain_scores_gemma":[0.99989176,0.000015200552,0.00002266343,0.000014549716,0.000041306543,0.000014438554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019898001,0.00027030567,0.00020025313,0.0016296688,0.00032900838,0.0003633609,0.00023687589,0.00031651807,0.0013811259],"category_scores_gemma":[0.00040164526,0.00026252677,0.0001480512,0.0007811866,0.00070180045,0.00029453702,0.00036689808,0.0003224568,0.00031575974],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092269573,0.00012373549,0.3094908,0.00035663033,0.00018353417,0.0011440673,0.009099536,0.0007255,0.60462236,0.00085958495,0.000746904,0.07172467],"study_design_scores_gemma":[0.000018193392,0.00031968413,0.970116,0.00003125985,0.00010034338,0.0017760101,0.0023384108,0.00073046034,0.019681448,0.00028057527,0.004579429,0.000028162924],"about_ca_topic_score_codex":0.0028831884,"about_ca_topic_score_gemma":0.0077597583,"teacher_disagreement_score":0.0028831884,"about_ca_system_score_codex":0.00018327638,"about_ca_system_score_gemma":0.00010123539,"threshold_uncertainty_score":0.0057328343},"labels":[],"label_agreement":null},{"id":"W2007630257","doi":"10.1016/j.cemconres.2009.09.010","title":"Monitoring of an hydraulic structure affected by ASR: A case study","year":2009,"lang":"en","type":"article","venue":"Cement and Concrete Research","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Alkali–silica reaction; Borehole; Hydraulic structure; Nondestructive testing; Drilling; Hydraulic fracturing; Structural engineering; Petrography; Geology; Geotechnical engineering; Materials science; Engineering; Composite material; Mortar; Mechanical engineering; Mineralogy","score_opus":0.046851373296718436,"score_gpt":0.38083949688449165,"score_spread":0.3339881235877732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007630257","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953986,0.000023479184,0.0028319426,0.00011440849,0.00000671168,0.000067676076,0.00009692884,0.000055952514,0.0014042696],"genre_scores_gemma":[0.9961428,0.000042455657,0.0026461503,0.000017819293,0.000006407749,0.000013949811,0.000041410953,0.000007702377,0.0010813888],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994111,0.00011343574,0.000035994097,0.00013108012,0.00019775979,0.00011059695],"domain_scores_gemma":[0.9989452,0.00038891056,0.00015127094,0.00013331916,0.00020509573,0.00017635344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055198045,0.0004651745,0.00043514953,0.0009824065,0.0015518012,0.0006376946,0.0011488666,0.0029180204,0.001121747],"category_scores_gemma":[0.0014317088,0.000284458,0.00039894905,0.0006812558,0.00080964284,0.0007571609,0.00060815737,0.00057765056,0.00024901258],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019230056,0.0051132767,0.4197868,0.0005485956,0.00035185172,0.2108198,0.0125930505,0.11201809,0.11386851,0.0029369798,0.0036876781,0.11635241],"study_design_scores_gemma":[0.00046198998,0.008279956,0.4656959,0.00014719732,0.0006481663,0.053024136,0.030352488,0.32256314,0.09579791,0.0036461435,0.019013762,0.00036925377],"about_ca_topic_score_codex":0.012637687,"about_ca_topic_score_gemma":0.025397044,"teacher_disagreement_score":0.012637687,"about_ca_system_score_codex":0.0008195111,"about_ca_system_score_gemma":0.0008803738,"threshold_uncertainty_score":0.025128245},"labels":[],"label_agreement":null},{"id":"W2008121761","doi":"10.1121/1.428312","title":"Inverse problem of the wave equation and the Schwinger approximation","year":2000,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Inverse; Inverse problem; Wave equation; Physics; Mathematics; Mathematical analysis; Applied mathematics; Geometry","score_opus":0.014297430030093672,"score_gpt":0.22553166346887124,"score_spread":0.21123423343877756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008121761","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01693557,0.00074774126,0.9727748,0.0006546355,0.00013064197,0.00003473861,0.00007501737,0.00008291638,0.008563887],"genre_scores_gemma":[0.37139025,0.0019032023,0.58915555,0.0003001552,0.0003184622,0.0003202726,0.00029230982,0.00018463656,0.036135126],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996517,0.00010705085,0.00001753221,0.000054881635,0.00013631495,0.000032546977],"domain_scores_gemma":[0.9996929,0.00017316767,0.000021558988,0.000028809442,0.00006395746,0.000019561194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008746202,0.0005145984,0.00067117007,0.00061513705,0.0004046186,0.0011287513,0.00075751706,0.0013715945,0.0018790441],"category_scores_gemma":[0.0018964849,0.00041895203,0.00072639715,0.0003956165,0.0012473268,0.0016261557,0.0014050972,0.0015050813,0.00045800698],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005993551,0.000041221683,0.00050886796,0.00013990661,0.000044528868,0.0003502435,0.00023762742,0.13961479,0.0128855985,0.79807067,0.0020356767,0.046010945],"study_design_scores_gemma":[0.000021421638,0.000019175095,0.00022140653,0.000019175151,0.000010425915,0.00020848788,0.000041229945,0.8780294,0.002397343,0.11412655,0.0048761475,0.000029221164],"about_ca_topic_score_codex":0.0028096347,"about_ca_topic_score_gemma":0.0016289667,"teacher_disagreement_score":0.0028096347,"about_ca_system_score_codex":0.00053151953,"about_ca_system_score_gemma":0.0013571073,"threshold_uncertainty_score":0.006286025},"labels":[],"label_agreement":null},{"id":"W2008717496","doi":"10.1007/s00603-010-0086-5","title":"Bias Correction for View-limited Lidar Scanning of Rock Outcrops for Structural Characterization","year":2010,"lang":"en","type":"article","venue":"Rock Mechanics and Rock Engineering","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":111,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Geological Survey of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lidar; Point cloud; Orientation (vector space); Discontinuity (linguistics); Laser scanning; Remote sensing; Scanner; Scan line; Computer science; Line-of-sight; Computer vision; Geology; Artificial intelligence; Optics; Geometry; Engineering; Mathematics; Pixel; Physics; Laser","score_opus":0.013148804775950441,"score_gpt":0.23385517397819883,"score_spread":0.2207063692022484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008717496","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62111026,0.0006328789,0.37361938,0.00012870794,0.000090889065,0.000056945522,0.0009585202,0.001519168,0.001883126],"genre_scores_gemma":[0.86587083,0.00023092768,0.13106741,0.00004936213,0.000025886104,0.00005780597,0.0012195826,0.0001841109,0.0012940344],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997328,0.000030862037,0.0000136064855,0.00006244996,0.00011981195,0.000040550553],"domain_scores_gemma":[0.99942493,0.00011162134,0.00005825608,0.00008533952,0.00029669868,0.000023152279],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038158972,0.00032575836,0.00036075767,0.0009767569,0.00033088378,0.0004051257,0.00067965896,0.0004294133,0.0011200518],"category_scores_gemma":[0.0019562412,0.00038861067,0.00030236974,0.00096477184,0.00013763337,0.00047713882,0.00044035327,0.0003296536,0.00044767675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042566066,0.00012914544,0.041278083,0.00024074908,0.00013498118,0.00013640334,0.00031254045,0.03698581,0.54186046,0.001391805,0.0022085523,0.37489572],"study_design_scores_gemma":[0.00007242219,0.0001287529,0.13921146,0.000060925722,0.00017609278,0.00048602602,0.00025492223,0.64922684,0.20070559,0.0019681165,0.007606019,0.00010295203],"about_ca_topic_score_codex":0.006904688,"about_ca_topic_score_gemma":0.019447148,"teacher_disagreement_score":0.006904688,"about_ca_system_score_codex":0.00036588465,"about_ca_system_score_gemma":0.0009864419,"threshold_uncertainty_score":0.013728976},"labels":[],"label_agreement":null},{"id":"W2009031730","doi":"10.4133/jeeg8.2.77","title":"Assessment of Soil Moisture Content Measured by Borehole GPR and TDR Under Transient Irrigation and Drainage","year":2003,"lang":"en","type":"article","venue":"Journal of Environmental and Engineering Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; University of Waterloo","funders":"","keywords":"Ground-penetrating radar; Borehole; Water content; Loam; Geology; Soil science; Drainage; Moisture; Geotechnical engineering; Hydrology (agriculture); Soil water; Radar; Meteorology; Engineering; Geography","score_opus":0.009300498326672,"score_gpt":0.19494389333354484,"score_spread":0.18564339500687282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009031730","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99814725,0.000023951781,0.0015729564,0.0000033214087,0.0000015709961,0.000006188785,0.00006740996,0.000016195709,0.00016124715],"genre_scores_gemma":[0.9991573,0.000026776865,0.0006261152,0.000005208943,0.0000013475383,0.000008246773,0.00007088443,0.0000043250425,0.00009983665],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99983287,0.000024786706,0.000009564753,0.000045332115,0.00006011891,0.000027366246],"domain_scores_gemma":[0.99970824,0.00007132882,0.00008436131,0.000020442207,0.00008833135,0.000027240383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022773498,0.00020315366,0.00024658433,0.00026118633,0.00009591628,0.00023533925,0.00015887115,0.00023494556,0.00022228387],"category_scores_gemma":[0.00046361185,0.00009345377,0.00010384372,0.00035196537,0.00018559098,0.00031167097,0.00019745971,0.00020979266,0.000050476057],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037999207,0.00007593918,0.04781699,0.00005859659,0.000016431866,0.00021840316,0.00031479233,0.0012425162,0.9371518,0.00004995402,0.000049991046,0.012624621],"study_design_scores_gemma":[0.000023680668,0.0017360938,0.79212713,0.000009654067,0.00006279425,0.00034702744,0.0006016247,0.014155392,0.18994875,0.000102161015,0.0008479957,0.00003771845],"about_ca_topic_score_codex":0.0010815045,"about_ca_topic_score_gemma":0.0013198811,"teacher_disagreement_score":0.0010815045,"about_ca_system_score_codex":0.00011592155,"about_ca_system_score_gemma":0.00008824576,"threshold_uncertainty_score":0.002150476},"labels":[],"label_agreement":null},{"id":"W2009418348","doi":"10.1520/gtj11051j","title":"Assessment of Localized Deformations in Sand Using X-Ray Computed Tomography","year":2000,"lang":"en","type":"article","venue":"Geotechnical Testing Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":146,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geotechnical engineering; Computed tomography; Geology; Tomography; Radiology; Medicine","score_opus":0.032785802611908194,"score_gpt":0.3040733334877362,"score_spread":0.271287530875828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009418348","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973985,0.00004649848,0.002276499,0.000004062589,5.9044544e-7,0.0000072011353,0.000044959266,0.000017074704,0.00020464523],"genre_scores_gemma":[0.9980294,0.00003778004,0.0016809298,0.00000284614,4.7756305e-7,0.0000038141934,0.00004046961,0.000002857459,0.00020133134],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999113,0.000012527929,0.000005385211,0.000019808296,0.000035491244,0.000015438682],"domain_scores_gemma":[0.99976796,0.00005576296,0.00006605566,0.000023888802,0.0000583314,0.000028111885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001406199,0.00026962924,0.0001211784,0.00051950314,0.00019447481,0.00027871013,0.00016871982,0.0001723134,0.0007337641],"category_scores_gemma":[0.00032345098,0.00016811152,0.00007587343,0.00019813092,0.00044526512,0.00016926898,0.00018175278,0.00012756404,0.00012079538],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001331136,0.000016879458,0.01653005,0.00003579162,0.0000070735177,0.00016957268,0.000109779816,0.001338864,0.9784006,0.000035156736,0.000014644444,0.0032085315],"study_design_scores_gemma":[0.000012848256,0.00035397126,0.39644626,0.000018754656,0.000035243407,0.000927047,0.00055978645,0.01334718,0.5876875,0.00006257558,0.00052537845,0.000023468305],"about_ca_topic_score_codex":0.0047317343,"about_ca_topic_score_gemma":0.010824394,"teacher_disagreement_score":0.0047317343,"about_ca_system_score_codex":0.00020630284,"about_ca_system_score_gemma":0.0002422056,"threshold_uncertainty_score":0.009408414},"labels":[],"label_agreement":null},{"id":"W2009847233","doi":"10.2136/vzj2003.4760","title":"Measuring Soil Water Content with Ground Penetrating Radar: A Review","year":2003,"lang":"en","type":"review","venue":"Vadose Zone Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":707,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"JDA Software (Canada)","funders":"U.S. Department of Agriculture","keywords":"Ground-penetrating radar; Water content; Environmental science; Remote sensing; Radar; Soil science; Groundwater; Content (measure theory); Soil water; Borehole; Measure (data warehouse); Reflection (computer programming); Hydrology (agriculture); Geology; Geotechnical engineering; Engineering; Computer science; Mathematics","score_opus":0.13956662460855995,"score_gpt":0.2943876943113434,"score_spread":0.15482106970278342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009847233","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017203849,0.9901271,0.005288206,0.00018680158,0.00014496077,0.000026621063,0.00010157737,0.000047162423,0.0023571767],"genre_scores_gemma":[0.0040289313,0.98984045,0.0047336873,0.00011347124,0.000090916474,0.000029794517,0.00011893158,0.000007157814,0.0010367637],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996184,0.000052016723,0.00005007029,0.000085083535,0.0001770358,0.000017309738],"domain_scores_gemma":[0.9993327,0.00029912448,0.00007417122,0.000019133478,0.0002527898,0.000021957929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008330179,0.0010515633,0.0018950034,0.0025003168,0.00018944989,0.00078034634,0.00110583,0.0009479107,0.0016801482],"category_scores_gemma":[0.0012254448,0.00039532786,0.00045881144,0.0028560003,0.00030198455,0.0013961265,0.00034876316,0.0004261904,0.0021364833],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040625426,0.000059019974,0.0007720686,0.011551192,0.000088546345,0.00016489286,0.000043883014,0.00088349177,0.005588717,0.00063969265,0.0053633573,0.9748045],"study_design_scores_gemma":[0.000038210695,0.0007205355,0.009942992,0.0068849185,0.0006292959,0.004296872,0.0003882524,0.0016069756,0.023187028,0.0031756503,0.94898015,0.00014911308],"about_ca_topic_score_codex":0.0013239678,"about_ca_topic_score_gemma":0.0015993767,"teacher_disagreement_score":0.0025003168,"about_ca_system_score_codex":0.00032733142,"about_ca_system_score_gemma":0.0006342518,"threshold_uncertainty_score":0.005620599},"labels":[],"label_agreement":null},{"id":"W201098474","doi":"10.3133/wri004145","title":"Cross-hole radar scanning of two vertical, permeable, reactive-iron walls at the Massachusetts Military Reservation, Cape Cod, Massachusetts","year":2001,"lang":"en","type":"report","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"U.S. Air Force; University of Waterloo; University of Connecticut","keywords":"Plume; Panache; Borehole; Ground-penetrating radar; Geology; Environmental science; Radar; Hydrology (agriculture); Meteorology; Geotechnical engineering; Engineering; Geography","score_opus":0.038822438082535264,"score_gpt":0.32233197306446754,"score_spread":0.28350953498193227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W201098474","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969969,0.0000275447,0.0006301339,0.000037416983,0.0000049934238,0.000032413303,0.0001140857,0.000033600616,0.0021229368],"genre_scores_gemma":[0.99634427,0.000033205975,0.0017842872,0.000020124773,0.0000025143913,0.000021613267,0.00011844794,0.0000050257213,0.0016705],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99984324,0.000014432486,0.0000040171394,0.00005211682,0.000052003372,0.000034131488],"domain_scores_gemma":[0.99978405,0.000040384668,0.00004616061,0.000017150314,0.00007385568,0.00003840669],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019943739,0.00027741824,0.00016089922,0.0004165757,0.0006784232,0.000309538,0.00046248012,0.00033042888,0.0009876573],"category_scores_gemma":[0.00042545324,0.00019934576,0.00009634924,0.00022864138,0.00035120483,0.00025715376,0.00031108852,0.00024401261,0.00023728344],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009878944,0.0008706476,0.32161874,0.00014804122,0.00006448909,0.006170296,0.007115659,0.0077789105,0.5895782,0.00065942743,0.002264523,0.06274312],"study_design_scores_gemma":[0.00011004206,0.0014538497,0.9364104,0.00004347019,0.000049445687,0.00070857786,0.0050660493,0.010880776,0.038887415,0.00007478284,0.0062671956,0.000048048332],"about_ca_topic_score_codex":0.058657907,"about_ca_topic_score_gemma":0.18091363,"teacher_disagreement_score":0.058657907,"about_ca_system_score_codex":0.00061974826,"about_ca_system_score_gemma":0.0008449229,"threshold_uncertainty_score":0.116633},"labels":[],"label_agreement":null},{"id":"W2011548348","doi":"10.1117/12.383480","title":"&lt;title&gt;Estimation and correction of wavelet dispersion in GPR data&lt;/title&gt;","year":2000,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ground-penetrating radar; Wavelet; Attenuation; Geology; Dispersion (optics); Radar; Inverse; Acoustics; Computer science; Mathematics; Optics; Physics; Geometry; Artificial intelligence; Telecommunications","score_opus":0.011735181614307045,"score_gpt":0.23787097527621923,"score_spread":0.2261357936619122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011548348","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036629423,0.0018655673,0.7511841,0.003850723,0.0055031455,0.00061176653,0.007971851,0.048720505,0.14366296],"genre_scores_gemma":[0.20684725,0.005193609,0.5136643,0.0015603913,0.0018631766,0.00055601477,0.02084282,0.014332932,0.23513958],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99963343,0.000044125383,0.00002051974,0.00005600561,0.00021374396,0.000032169228],"domain_scores_gemma":[0.99883825,0.00022737318,0.0000912695,0.00030527476,0.0004896758,0.00004814016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008357394,0.0006018207,0.0005537136,0.0015489277,0.00039019168,0.0014204417,0.0008484271,0.00093044766,0.0426598],"category_scores_gemma":[0.0024816191,0.00025396963,0.00025209587,0.0015064813,0.00042228503,0.0011432497,0.0005817519,0.00078806275,0.03611868],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024902142,0.0000840851,0.001084635,0.00022581418,0.000018742412,0.0004502591,0.00007405462,0.0033214844,0.16676398,0.0056940373,0.23635213,0.5856818],"study_design_scores_gemma":[0.000059163776,0.00028377387,0.010913446,0.00012040786,0.0000385126,0.0014411722,0.00013479497,0.12835452,0.37875968,0.0038389429,0.47595334,0.00010217526],"about_ca_topic_score_codex":0.0019260985,"about_ca_topic_score_gemma":0.0023449643,"teacher_disagreement_score":0.0426598,"about_ca_system_score_codex":0.00044433653,"about_ca_system_score_gemma":0.0004363215,"threshold_uncertainty_score":0.14271122},"labels":[],"label_agreement":null},{"id":"W2012589201","doi":"10.1139/t11-094","title":"Use of CPT and other direct push methods for (hydro-) stratigraphic aquifer characterization — a field study","year":2012,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Aquifer; Hydraulic conductivity; Geology; Slug test; Sedimentary rock; Soil science; Characterization (materials science); Aquifer properties; Reservoir modeling; Geotechnical engineering; Hydrology (agriculture); Petrology; Groundwater; Soil water; Paleontology","score_opus":0.043965207243003075,"score_gpt":0.3162121408063679,"score_spread":0.2722469335633648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012589201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8235555,0.0005529872,0.16235411,0.00007223495,0.000055349235,0.00097301026,0.002789422,0.00033363028,0.009313758],"genre_scores_gemma":[0.855399,0.0008614302,0.13589743,0.00007143656,0.000036161327,0.0009813526,0.0015325433,0.00008579601,0.0051349173],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998963,0.000195596,0.000063515865,0.0003192772,0.000403286,0.000055363344],"domain_scores_gemma":[0.99710256,0.0007910294,0.0004020398,0.00034309505,0.0012026496,0.00015868383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013455662,0.0007254349,0.00039844777,0.0023011018,0.00063255936,0.0005938077,0.0009058383,0.0005350449,0.002162219],"category_scores_gemma":[0.0020700376,0.00032755308,0.0003081121,0.0031329335,0.00070389494,0.0011470928,0.0007480733,0.0006284527,0.00057618297],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012017395,0.0012764385,0.18399997,0.0010935813,0.00011066276,0.00061807025,0.001555001,0.016581282,0.42141843,0.0039586253,0.0019380196,0.36624816],"study_design_scores_gemma":[0.00022138267,0.009711069,0.4737275,0.00019726476,0.00026610662,0.0035649114,0.0028715036,0.1386816,0.33674493,0.0029540798,0.030700233,0.00035943877],"about_ca_topic_score_codex":0.013061266,"about_ca_topic_score_gemma":0.014759216,"teacher_disagreement_score":0.013061266,"about_ca_system_score_codex":0.00086748326,"about_ca_system_score_gemma":0.0011129641,"threshold_uncertainty_score":0.025970459},"labels":[],"label_agreement":null},{"id":"W2013745363","doi":"10.1061/40866(198)3","title":"Seasonal and Temperature Adjustment Models of Pavement Properties from Seismic Nondestructive Evaluation","year":2006,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Stantec (Canada)","funders":"","keywords":"Nondestructive testing; Falling weight deflectometer; Environmental science; Geotechnical engineering; Pavement engineering; Engineering; Subgrade; Materials science","score_opus":0.01958851785793509,"score_gpt":0.22928306511686602,"score_spread":0.20969454725893094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013745363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6635281,0.000202864,0.33109054,0.0001368499,0.00003353597,0.000065010674,0.00055134634,0.00068266375,0.0037091407],"genre_scores_gemma":[0.98049253,0.00009257812,0.017295953,0.0000121866715,0.0000058013047,0.000035871297,0.00040618752,0.000050948158,0.0016078999],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976236,0.00005232345,0.0000125195065,0.000069874965,0.000069303365,0.00003371037],"domain_scores_gemma":[0.99945754,0.00023601278,0.000088301706,0.00006347305,0.00013905963,0.000015665499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006957471,0.00048752103,0.00022135601,0.0005061549,0.00015606418,0.00041703618,0.0006408674,0.00030399158,0.0008649972],"category_scores_gemma":[0.0021227824,0.0003486272,0.00039876084,0.00044934804,0.00021520167,0.0005067064,0.00022079365,0.00042207676,0.00022497681],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007101267,0.000057764286,0.018871607,0.000019241425,0.000034658486,0.000030505838,0.000038368165,0.94091594,0.0053822775,0.00082571275,0.000410657,0.033342253],"study_design_scores_gemma":[0.0000016337643,0.000013129674,0.007998132,0.00000147424,0.00000642322,0.000009497349,0.0000056080025,0.9905996,0.0009409096,0.00019642901,0.00022136727,0.00000584114],"about_ca_topic_score_codex":0.019820645,"about_ca_topic_score_gemma":0.03243236,"teacher_disagreement_score":0.019820645,"about_ca_system_score_codex":0.000728504,"about_ca_system_score_gemma":0.00045225676,"threshold_uncertainty_score":0.03941053},"labels":[],"label_agreement":null},{"id":"W2014424020","doi":"10.1190/1.2831679","title":"Synthetic model testing and distributed acquisition dc resistivity results over an unconformity uranium target from the Athabasca Basin, northern Saskatchewan","year":2008,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Denison Mines (Canada); Geoscience BC","funders":"","keywords":"Unconformity; Geology; Structural basin; Uranium; Uranium ore; Electrical resistivity and conductivity; Geomorphology; Engineering; Electrical engineering; Nuclear physics","score_opus":0.027773432214671722,"score_gpt":0.2416139699079198,"score_spread":0.2138405376932481,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014424020","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951049,0.000012912407,0.0025320093,0.00006309017,0.0000054783186,0.000010548472,0.000416271,0.00013652034,0.0017182598],"genre_scores_gemma":[0.9983228,0.000008581143,0.0009750756,0.000009364194,9.714713e-7,0.000005583835,0.0003380496,0.00000725271,0.00033230166],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983776,0.000032407945,0.000009717906,0.000040775554,0.00004966264,0.000029545925],"domain_scores_gemma":[0.99949276,0.00017063016,0.000028754983,0.0000590167,0.00021539065,0.00003338367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002412367,0.00038250606,0.00020214543,0.0004086231,0.00032199692,0.00049178535,0.00048282003,0.00045224882,0.000942858],"category_scores_gemma":[0.0007854268,0.00011609102,0.00024967443,0.0006437921,0.0004322961,0.00022726839,0.00027881778,0.00031529047,0.00015939359],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004282539,0.0002552241,0.03236844,0.00007726621,0.00007095054,0.0009065967,0.0003184134,0.9120941,0.027280262,0.0007051951,0.0010011676,0.024494113],"study_design_scores_gemma":[0.000117039475,0.00021049313,0.042483807,0.000007097825,0.000031830605,0.00016204937,0.0003632222,0.94219744,0.013431216,0.00031954504,0.0006370652,0.000039137383],"about_ca_topic_score_codex":0.12461788,"about_ca_topic_score_gemma":0.15875807,"teacher_disagreement_score":0.8753821,"about_ca_system_score_codex":0.0011466045,"about_ca_system_score_gemma":0.00079256814,"threshold_uncertainty_score":0.24778503},"labels":[],"label_agreement":null},{"id":"W2014489661","doi":"10.1016/j.jconhyd.2012.12.007","title":"The effect of subsurface military detonations on vadose zone hydraulic conductivity, contaminant transport and aquifer recharge","year":2012,"lang":"en","type":"article","venue":"Journal of Contaminant Hydrology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Defence Research and Development Canada","funders":"","keywords":"Vadose zone; Hydraulic conductivity; Groundwater recharge; Aquifer; Hydrogeology; Geology; Groundwater; Artillery; Detonation; Explosive material; Geotechnical engineering; Hydrology (agriculture); Environmental science; Groundwater flow; Soil science; Soil water; Chemistry","score_opus":0.008109927751960448,"score_gpt":0.24532375191794392,"score_spread":0.23721382416598347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014489661","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995165,0.000031056516,0.00006659344,0.000025880852,0.0000025348136,0.0000010417587,0.000033046348,0.00000427231,0.00031914868],"genre_scores_gemma":[0.99979347,0.000020855978,0.000025550915,0.000004376302,8.503597e-7,5.479632e-7,0.000019592959,0.0000014352632,0.00013337158],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998559,0.00003467031,0.0000071820705,0.000018492983,0.000026776808,0.000056933342],"domain_scores_gemma":[0.99890554,0.0007403584,0.00011194648,0.00004597307,0.000112678135,0.000083583844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003329945,0.00023951552,0.00028883875,0.0001922902,0.00057684974,0.00058292696,0.00021680871,0.00047073016,0.001470133],"category_scores_gemma":[0.0014762917,0.00014168791,0.00031825612,0.00026125956,0.0005782361,0.00052649586,0.00040086376,0.00039778888,0.000114358336],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.024905127,0.0014000366,0.4021551,0.00019280553,0.00032412814,0.0024649494,0.0009785368,0.17347871,0.34663224,0.001690768,0.001008673,0.044768967],"study_design_scores_gemma":[0.00019664828,0.0040999115,0.7716032,0.000025063331,0.00022165052,0.00054488576,0.0023191844,0.10203966,0.11651596,0.0011123071,0.0012362072,0.00008533849],"about_ca_topic_score_codex":0.016124064,"about_ca_topic_score_gemma":0.013110088,"teacher_disagreement_score":0.016124064,"about_ca_system_score_codex":0.00071923,"about_ca_system_score_gemma":0.0006223992,"threshold_uncertainty_score":0.032060444},"labels":[],"label_agreement":null},{"id":"W2014696688","doi":"10.1109/radar.2013.6586154","title":"A multi-look fusion approach to through-wall radar imaging","year":2013,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Radar; Radar imaging; Computer science; Computer vision; Sensor fusion; Fusion; Artificial intelligence; Remote sensing; Geology; Telecommunications","score_opus":0.022333553199351628,"score_gpt":0.25812838522214354,"score_spread":0.23579483202279192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014696688","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009811923,0.00014583133,0.9887565,0.000050911374,0.000023100618,0.00001973014,0.000029196044,0.00019713637,0.00096565695],"genre_scores_gemma":[0.22783227,0.0002904808,0.76990247,0.000091310874,0.00005074012,0.000048137917,0.00013069555,0.000059690246,0.0015941431],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950826,0.000104772924,0.000021940035,0.000089736415,0.00021751501,0.00005771291],"domain_scores_gemma":[0.99968016,0.00007519579,0.00004010936,0.00008492658,0.00010283822,0.000016706996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000572596,0.0005778356,0.000508343,0.00073569483,0.0003392465,0.00077611214,0.0005231458,0.00063428626,0.0012153063],"category_scores_gemma":[0.0008286159,0.00030440456,0.0007825833,0.00060479756,0.00039122955,0.001304575,0.0013705564,0.0009527263,0.0005182731],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031126692,0.00019085701,0.0014258553,0.00015572796,0.00015266304,0.00018355231,0.00031212805,0.07953889,0.40557575,0.016593173,0.0012729148,0.4942872],"study_design_scores_gemma":[0.000018707931,0.00033824713,0.0028088943,0.000025361967,0.000086016036,0.0006766956,0.00011320415,0.8537874,0.1250097,0.012013817,0.0050315117,0.00009048708],"about_ca_topic_score_codex":0.00043465328,"about_ca_topic_score_gemma":0.00080191356,"teacher_disagreement_score":0.0012153063,"about_ca_system_score_codex":0.00020541761,"about_ca_system_score_gemma":0.00033411643,"threshold_uncertainty_score":0.004065633},"labels":[],"label_agreement":null},{"id":"W2017233787","doi":"10.1117/12.485956","title":"Canadian landmine detection research program","year":2003,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Defence Research and Development Canada","funders":"Multidisciplinary University Research Initiative; Ministère de la Défense Nationale; University of British Columbia","keywords":"Unexploded ordnance; Remote sensing; Ground-penetrating radar; Detector; Computer science; Aeronautics; Engineering; Geology; Radar; Telecommunications","score_opus":0.021560342055394876,"score_gpt":0.28105315048071455,"score_spread":0.2594928084253197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017233787","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00961703,0.011431381,0.010681951,0.0435845,0.0045065642,0.0011376833,0.042066857,0.0023131508,0.87466085],"genre_scores_gemma":[0.046088375,0.007737998,0.01703285,0.0052247136,0.00028755114,0.00029021964,0.029692456,0.00040730837,0.89323866],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9956071,0.00019544057,0.00007361097,0.0004263605,0.0032156105,0.00048188522],"domain_scores_gemma":[0.9877131,0.00023115525,0.00014561244,0.00033836637,0.010514464,0.0010572361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028138875,0.0010590224,0.0006645683,0.0031234361,0.003919957,0.003516865,0.0022077584,0.0010792449,0.084501244],"category_scores_gemma":[0.0040971595,0.00038578451,0.0005490991,0.0022509787,0.000793026,0.0010419869,0.0016364502,0.0013128427,0.019314885],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013310461,0.000084197214,0.004580612,0.00020701285,0.000023305056,0.00018414247,0.00020639545,0.00038926717,0.0021863529,0.017892318,0.83548695,0.13862643],"study_design_scores_gemma":[0.00002117293,0.00003573458,0.0042919223,0.000066034874,0.000013367818,0.00010622103,0.00015678968,0.00059446844,0.0010003252,0.00080111815,0.99288976,0.000023116403],"about_ca_topic_score_codex":0.8663004,"about_ca_topic_score_gemma":0.937635,"teacher_disagreement_score":0.1336996,"about_ca_system_score_codex":0.02807663,"about_ca_system_score_gemma":0.09916992,"threshold_uncertainty_score":0.2826848},"labels":[],"label_agreement":null},{"id":"W2017990383","doi":"","title":"Numerical study of the thm effects on the near-field safety of a hypothetical nuclear waste \\nrepository - bmt1 of the decovalex iii project. part 1: conceptualization and characterization of \\nthe problems and summary of results","year":2004,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Nuclear Safety Commission","funders":"","keywords":"Conceptualization; Radioactive waste; Field (mathematics); Process (computing); Civil engineering; Spent nuclear fuel; Computer science; Geotechnical engineering; Environmental science; Construction engineering; Nuclear engineering; Engineering; Waste management; Mathematics","score_opus":0.011508943803305584,"score_gpt":0.20233367096300806,"score_spread":0.19082472715970247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017990383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872744,0.0000804578,0.0045761946,0.00016514066,0.000025621513,0.000046854682,0.00027790718,0.00007372569,0.007479657],"genre_scores_gemma":[0.99638724,0.00003908768,0.0021603268,0.000018302162,0.0000025187,0.000030674128,0.00014819473,0.0000072512103,0.0012065716],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997631,0.00006213526,0.000013169832,0.00004421258,0.000054989134,0.00006246888],"domain_scores_gemma":[0.99851924,0.000965746,0.00016894782,0.000087851324,0.0001382098,0.00012002723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000676971,0.0003309453,0.0005232532,0.00047037337,0.00074913376,0.00078667764,0.0007045805,0.001296718,0.0026162162],"category_scores_gemma":[0.0023716094,0.00022498584,0.00044452486,0.00042343987,0.0009964848,0.0005093252,0.00069137744,0.0007290422,0.000201778],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002825066,0.00017804575,0.0067750975,0.00008550341,0.00002566999,0.00031377963,0.00008434061,0.9815777,0.0050483164,0.0015614037,0.0004054995,0.00366215],"study_design_scores_gemma":[0.000053733533,0.00031229696,0.0036845894,0.0000128960355,0.000016156628,0.0000529856,0.00016709101,0.9911522,0.0037216546,0.0004528601,0.0003576608,0.000015914291],"about_ca_topic_score_codex":0.011187743,"about_ca_topic_score_gemma":0.006400115,"teacher_disagreement_score":0.011187743,"about_ca_system_score_codex":0.0010904159,"about_ca_system_score_gemma":0.00062764133,"threshold_uncertainty_score":0.022245228},"labels":[],"label_agreement":null},{"id":"W2018862569","doi":"10.1007/s11220-005-0005-0","title":"Non Destructive Geophysical Monitoring of Water Content and Fluid Conductivity Anomalies in the Near Surface at the Border of an Agricultural","year":2005,"lang":"en","type":"article","venue":"Subsurface Sensing Technologies and Applications","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Ground-penetrating radar; Soil science; Porosity; Water content; Electrical resistivity and conductivity; Geology; Kriging; Conductivity; Mineralogy; Electrical resistivity tomography; Geophysics; Radar; Geotechnical engineering","score_opus":0.018046117322289945,"score_gpt":0.25283629273914454,"score_spread":0.2347901754168546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018862569","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998968,0.000017212411,0.000574338,0.000019549505,0.0000043753917,0.0000039240963,0.000049486083,0.000012163456,0.00035099508],"genre_scores_gemma":[0.9986467,0.000025827254,0.00094534893,0.000007992041,0.0000045612815,0.00000604267,0.0000819608,0.0000020157943,0.00027968868],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99984455,0.000016753529,0.000006837421,0.000045076486,0.000061749015,0.000025051546],"domain_scores_gemma":[0.9998091,0.00005034033,0.000037910122,0.000014341056,0.000049315466,0.000039057533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014659978,0.00020877158,0.00038298315,0.0007179494,0.0005910517,0.00040659093,0.00050980994,0.00054852734,0.00020152345],"category_scores_gemma":[0.00040589616,0.00016685073,0.00014512382,0.00048871216,0.00043247873,0.00050612574,0.0003965436,0.0003625009,0.000094552466],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012361873,0.00054956484,0.39586875,0.00010002793,0.00007276264,0.0020636441,0.0018021142,0.0060123433,0.5643065,0.00047440463,0.0005084655,0.027005246],"study_design_scores_gemma":[0.00009222552,0.0006399184,0.90353805,0.000016404694,0.00008295537,0.0011990058,0.0028959697,0.046944696,0.04202035,0.00072864373,0.0017937126,0.000048036167],"about_ca_topic_score_codex":0.0041953316,"about_ca_topic_score_gemma":0.009053049,"teacher_disagreement_score":0.0041953316,"about_ca_system_score_codex":0.00022746436,"about_ca_system_score_gemma":0.00033976094,"threshold_uncertainty_score":0.008341849},"labels":[],"label_agreement":null},{"id":"W2019363328","doi":"10.1007/s12665-011-1027-7","title":"Axial flow hydraulic pulse testing of an argillaceous limestone","year":2011,"lang":"en","type":"article","venue":"Environmental Earth Sciences","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Geology; Permeability (electromagnetism); Geotechnical engineering; Hydraulic conductivity; Radioactive waste; Soil science; Soil water; Engineering","score_opus":0.02934585235686287,"score_gpt":0.2239258131792726,"score_spread":0.19457996082240972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019363328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986436,0.000007571546,0.00048897055,0.000015728458,0.0000027163471,0.000005267896,0.00003610168,0.000019231584,0.00078069523],"genre_scores_gemma":[0.9993375,0.0000065388767,0.00026607345,0.0000045670577,0.0000010058486,0.000002190124,0.00001654086,0.000001779645,0.00036383973],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998276,0.000019384092,0.000014180176,0.000022857039,0.00007678571,0.000039171584],"domain_scores_gemma":[0.9996364,0.00015248956,0.000030000641,0.000030035997,0.00010064739,0.00005036654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002709851,0.00014147056,0.00017019229,0.00042981154,0.00047836726,0.00027910367,0.00046734588,0.0003958198,0.0012373963],"category_scores_gemma":[0.00071238965,0.00008870769,0.00010042074,0.00029450248,0.00052376394,0.00031839908,0.00036504184,0.00022018461,0.00012225687],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023139294,0.00036125368,0.028991794,0.00015023461,0.00001611265,0.0019880638,0.001402312,0.008079385,0.92768353,0.0009128738,0.00026162653,0.02783891],"study_design_scores_gemma":[0.00012776739,0.0042762244,0.13212703,0.00002024595,0.000043926324,0.0010959652,0.0020799334,0.046068795,0.81070596,0.00066760276,0.0027422071,0.00004430484],"about_ca_topic_score_codex":0.0037887802,"about_ca_topic_score_gemma":0.004849474,"teacher_disagreement_score":0.0037887802,"about_ca_system_score_codex":0.0003347292,"about_ca_system_score_gemma":0.00033644788,"threshold_uncertainty_score":0.007533431},"labels":[],"label_agreement":null},{"id":"W2019650838","doi":"10.1029/1999wr900291","title":"Identifying the conditions amenable to the determination of solute concentrations with time domain reflectometry","year":2000,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; University of Waterloo","funders":"","keywords":"Reflectometry; Electrical resistivity and conductivity; Conductivity; Soil water; Materials science; Soil science; Volume (thermodynamics); Time domain; Analytical Chemistry (journal); Environmental science; Chemistry; Thermodynamics; Environmental chemistry; Physics","score_opus":0.0416713647303176,"score_gpt":0.3533647113959031,"score_spread":0.31169334666558546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019650838","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35917333,0.0014806764,0.6297021,0.00043010226,0.00009511227,0.00045528798,0.000631156,0.0007858445,0.0072463946],"genre_scores_gemma":[0.8191286,0.0016856068,0.17653567,0.00015259582,0.00009544268,0.0007933164,0.00039438074,0.00012274078,0.0010917014],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988519,0.00027290932,0.000056184497,0.0003745401,0.00030294713,0.00014146714],"domain_scores_gemma":[0.9982786,0.00086350425,0.00039133374,0.00018801125,0.00022963852,0.000048965656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014723712,0.0005437868,0.0007797639,0.0006642922,0.00069432467,0.0014070469,0.00049963145,0.0008921335,0.001053992],"category_scores_gemma":[0.0043863393,0.00036267805,0.00027620135,0.0005631791,0.0018545832,0.0018035079,0.0010325852,0.0010168251,0.0007289669],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012006158,0.000035743047,0.0020814785,0.00020042414,0.000008672293,0.00034577007,0.0001550024,0.004594532,0.97831374,0.0075546107,0.00015403263,0.0064359643],"study_design_scores_gemma":[0.00003140863,0.00022408417,0.0047524977,0.000032594555,0.000018793819,0.00046771034,0.00035316197,0.033064093,0.9458455,0.011325983,0.0038170915,0.00006699631],"about_ca_topic_score_codex":0.0013273756,"about_ca_topic_score_gemma":0.0016371141,"teacher_disagreement_score":0.0014723712,"about_ca_system_score_codex":0.00049689226,"about_ca_system_score_gemma":0.000608766,"threshold_uncertainty_score":0.007786751},"labels":[],"label_agreement":null},{"id":"W2019717741","doi":"10.4133/jeeg7.1.37","title":"The Accuracy of Water Table Elevation Estimates Determined from Ground Penetrating Radar Data","year":2002,"lang":"en","type":"article","venue":"Journal of Environmental and Engineering Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo; University of Calgary","keywords":"Elevation (ballistics); Water table; Ground-penetrating radar; Geology; Table (database); Radar; Capillary fringe; Water well; Water level; Geodesy; Hydrology (agriculture); Remote sensing; Groundwater; Geotechnical engineering; Geometry; Geography; Cartography","score_opus":0.01600262287712533,"score_gpt":0.20354192226549087,"score_spread":0.18753929938836553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019717741","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86207235,0.0013499096,0.13039401,0.000120611905,0.00007402567,0.000026714513,0.0012521097,0.0010307145,0.0036795994],"genre_scores_gemma":[0.9709896,0.00043269296,0.026950512,0.00002130927,0.000015591682,0.000009664195,0.0009987046,0.000037618964,0.0005442606],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99864215,0.00021279202,0.00011738499,0.00029638121,0.0006150856,0.00011615313],"domain_scores_gemma":[0.9956208,0.0020176878,0.00048814193,0.00065689377,0.0011468877,0.000069530375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016200028,0.0003283854,0.00031442955,0.00082184,0.00018533722,0.0011211679,0.0005416826,0.0005304357,0.0007329632],"category_scores_gemma":[0.009487241,0.00020693267,0.00024217601,0.0006368995,0.00027546473,0.0009640308,0.0006153701,0.00030859213,0.0008109006],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018671938,0.00012499397,0.20547372,0.00044129658,0.00026646236,0.00055259163,0.0006593545,0.11866922,0.19815625,0.001943222,0.0018599384,0.46998572],"study_design_scores_gemma":[0.000084870335,0.0004077527,0.36993128,0.00014778593,0.00021138757,0.0006254155,0.00042295517,0.41322172,0.20575903,0.0022314468,0.0067979717,0.00015845284],"about_ca_topic_score_codex":0.0033023485,"about_ca_topic_score_gemma":0.0030788702,"teacher_disagreement_score":0.0033023485,"about_ca_system_score_codex":0.00032962687,"about_ca_system_score_gemma":0.00022290506,"threshold_uncertainty_score":0.008567512},"labels":[],"label_agreement":null},{"id":"W2019872178","doi":"10.1111/j.1467-8667.2004.00336.x","title":"Intelligent System for Condition Monitoring of Underground Pipelines","year":2003,"lang":"en","type":"article","venue":"Computer-Aided Civil and Infrastructure Engineering","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Tokyo Metropolitan Government","keywords":"Pipeline (software); Pipeline transport; Process (computing); Data acquisition; Computer science; Identification (biology); Quality (philosophy); Focus (optics); Engineering; Risk analysis (engineering); Construction engineering; Systems engineering; Environmental engineering","score_opus":0.008859076996091892,"score_gpt":0.22398938075496172,"score_spread":0.21513030375886982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019872178","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1288383,0.0009175215,0.8181327,0.00025227477,0.00029778032,0.00021404136,0.0012222367,0.043290794,0.006834358],"genre_scores_gemma":[0.86816204,0.00031208957,0.12348292,0.00022802233,0.00015090355,0.00023686163,0.001089335,0.00017654902,0.006161344],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995586,0.000054947803,0.000032827607,0.00017768148,0.00013010592,0.00004578416],"domain_scores_gemma":[0.99952245,0.000101813435,0.0000789468,0.000072054296,0.00017611291,0.000048622547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043744472,0.00077666476,0.00094900414,0.001752853,0.00063463877,0.0007489963,0.0011449422,0.00073123194,0.0048118257],"category_scores_gemma":[0.0008225757,0.00027096958,0.00025822644,0.0006924955,0.00024529462,0.00072175637,0.00061796233,0.00042173188,0.0014143856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002022311,0.0003963798,0.0105605,0.00037520274,0.000092984614,0.00036870228,0.00034589038,0.01783456,0.15312359,0.001983927,0.020901628,0.7919943],"study_design_scores_gemma":[0.00033080007,0.0011673862,0.023059694,0.00007303564,0.00041436066,0.0010119939,0.00014710851,0.8405919,0.11149079,0.0031073866,0.018442947,0.00016259313],"about_ca_topic_score_codex":0.0018637993,"about_ca_topic_score_gemma":0.0018575037,"teacher_disagreement_score":0.0048118257,"about_ca_system_score_codex":0.0004253044,"about_ca_system_score_gemma":0.00055515073,"threshold_uncertainty_score":0.016097128},"labels":[],"label_agreement":null},{"id":"W2019878549","doi":"10.1016/j.jappgeo.2006.10.002","title":"Multi-offset ground penetrating radar data for improved imaging in areas of lateral complexity — Application at a Native American site","year":2006,"lang":"en","type":"article","venue":"Journal of Applied Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Offset (computer science); Ground-penetrating radar; Remote sensing; Computer science; Geology; Data quality; Radar; Telecommunications; Engineering","score_opus":0.024574298584004044,"score_gpt":0.2836897379978847,"score_spread":0.25911543941388065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019878549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99355984,0.00005807858,0.0052436166,0.00010539535,0.000007983205,0.000020839372,0.00016969109,0.00011996899,0.0007147069],"genre_scores_gemma":[0.9630642,0.00010962732,0.035890404,0.00002845772,0.000013575803,0.000012658821,0.00022943935,0.00002655586,0.0006251344],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99981064,0.000042843672,0.000009060379,0.000034091045,0.00007687285,0.000026493652],"domain_scores_gemma":[0.99914765,0.00029974923,0.00005147606,0.0000704986,0.0003315666,0.00009904421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005475221,0.0003542021,0.00028370396,0.0006213451,0.0005128107,0.0005782656,0.00059316435,0.00050412375,0.0011270316],"category_scores_gemma":[0.0011299987,0.00024375033,0.00020211458,0.001111792,0.00023093678,0.00063384237,0.00048778314,0.00032453175,0.0001804881],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021659194,0.0020366313,0.16734624,0.0003514804,0.00015403311,0.0025077395,0.0015328503,0.059304588,0.3005321,0.0007935477,0.0024758636,0.460799],"study_design_scores_gemma":[0.00045026644,0.0015466526,0.47422138,0.000032212203,0.00033878707,0.0021727465,0.0021351397,0.4325471,0.081312366,0.0008137379,0.0043133358,0.000116354706],"about_ca_topic_score_codex":0.014898817,"about_ca_topic_score_gemma":0.057848193,"teacher_disagreement_score":0.014898817,"about_ca_system_score_codex":0.00026886247,"about_ca_system_score_gemma":0.0006359702,"threshold_uncertainty_score":0.029624164},"labels":[],"label_agreement":null},{"id":"W2020518555","doi":"10.1002/esp.1741","title":"Determining the number of manual measurements required to improve peat thickness estimations by ground penetrating radar","year":2008,"lang":"en","type":"article","venue":"Earth Surface Processes and Landforms","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; Espace pour la vie; Université du Québec à Montréal","funders":"","keywords":"Peat; Ground-penetrating radar; Calibration; Radar; Geology; Remote sensing; Soil science; Environmental science; Statistics; Computer science; Mathematics","score_opus":0.026941246488791065,"score_gpt":0.27836368082868906,"score_spread":0.25142243433989797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020518555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92471004,0.0002463096,0.07341263,0.00005455273,0.00002706765,0.00010512336,0.00018800593,0.0005274549,0.00072872406],"genre_scores_gemma":[0.87610406,0.00010486201,0.122309655,0.000048060767,0.000022992854,0.0001766465,0.00043985262,0.000074611955,0.00071928505],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99589765,0.0014652621,0.00039263992,0.0006136038,0.0014381894,0.00019269611],"domain_scores_gemma":[0.97100496,0.016393756,0.0036439653,0.0027418896,0.00583556,0.00037981165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003866839,0.0005340997,0.0007115534,0.0010715139,0.0005571627,0.000557512,0.0010764274,0.0005089328,0.0011137351],"category_scores_gemma":[0.022632144,0.00037287312,0.00033262934,0.0005983607,0.00040868332,0.00061731593,0.000668058,0.00029584058,0.0005293599],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016720532,0.00055109995,0.29310945,0.0004201435,0.00018170827,0.00038907613,0.00064593274,0.023980927,0.22776566,0.0002814272,0.0016995143,0.44930303],"study_design_scores_gemma":[0.000097303826,0.0015601668,0.6890637,0.00007455536,0.00017256178,0.0011422788,0.00048232233,0.12411399,0.17885305,0.00036745903,0.003960718,0.00011188191],"about_ca_topic_score_codex":0.008509766,"about_ca_topic_score_gemma":0.016038077,"teacher_disagreement_score":0.008509766,"about_ca_system_score_codex":0.0005988114,"about_ca_system_score_gemma":0.00070746563,"threshold_uncertainty_score":0.020450056},"labels":[],"label_agreement":null},{"id":"W2021068408","doi":"10.1190/geo2014-0117.1","title":"Interpolating wide-aperture ground-penetrating radar beyond aliasing","year":2015,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Offset (computer science); Prestack; Interpolation (computer graphics); Geology; Algorithm; Computer science; Midpoint; Aliasing; Geodesy; Ground-penetrating radar; Variable (mathematics); Filter (signal processing); Radar; Remote sensing; Computer vision; Mathematics; Geometry; Seismology; Telecommunications","score_opus":0.02218121860409944,"score_gpt":0.24988607601960394,"score_spread":0.2277048574155045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021068408","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25652033,0.00007140152,0.741359,0.000045770506,0.000033329474,0.000043917607,0.00014065446,0.0005709407,0.0012146237],"genre_scores_gemma":[0.6055319,0.00007410397,0.3929788,0.00004056471,0.000018620258,0.000036263205,0.00052891707,0.000104109924,0.00068680843],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967563,0.00005838044,0.000023373977,0.00008409301,0.0001153213,0.00004321535],"domain_scores_gemma":[0.9989133,0.0003496322,0.00011112597,0.00033721197,0.00025960983,0.000029213963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008082831,0.00047499372,0.00031054538,0.0007480875,0.0002603244,0.00053556275,0.00051152916,0.00036805103,0.00080216996],"category_scores_gemma":[0.0032184648,0.00029689932,0.00038513466,0.0011522395,0.00038932744,0.0008342059,0.0009003767,0.0006041215,0.0002773183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042804005,0.00026878517,0.025515929,0.00022777393,0.000116851916,0.0004605238,0.0008942058,0.36890623,0.3132007,0.009075005,0.00090608216,0.27999988],"study_design_scores_gemma":[0.00004121817,0.00026751676,0.0154405115,0.000041466086,0.000050300256,0.00021378127,0.00017409558,0.8661567,0.105413735,0.0063806297,0.005752279,0.00006774613],"about_ca_topic_score_codex":0.002026468,"about_ca_topic_score_gemma":0.0027374262,"teacher_disagreement_score":0.002026468,"about_ca_system_score_codex":0.00020292097,"about_ca_system_score_gemma":0.0004863119,"threshold_uncertainty_score":0.0042746663},"labels":[],"label_agreement":null},{"id":"W2021342665","doi":"10.1109/iceaa.2012.6328813","title":"Accelerated FDTD technique for marine Controlled Source Electromagnetic imaging","year":2012,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; Acceleware (Canada)","funders":"","keywords":"Finite-difference time-domain method; Computer science; Electromagnetics; Computational electromagnetics; Computational science; Electronic engineering; Parallel computing; Electromagnetic field; Engineering; Optics","score_opus":0.011392656158100273,"score_gpt":0.25900642458621204,"score_spread":0.24761376842811175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021342665","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0079599125,0.00025313007,0.98644525,0.0001182688,0.000091030495,0.00002158624,0.00007277913,0.00041055927,0.0046275505],"genre_scores_gemma":[0.11547388,0.0005014163,0.8765835,0.00005383838,0.000053976768,0.00006118231,0.00018463004,0.00008194408,0.0070056384],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99994767,0.0000069430957,0.0000019633083,0.0000055244227,0.000034215034,0.0000037494005],"domain_scores_gemma":[0.99993265,0.000018795881,0.0000062875033,0.0000116204055,0.000026524698,0.0000040881655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006573469,0.00022826977,0.0001424741,0.0002551015,0.00014339517,0.00020438606,0.0003447352,0.00026955342,0.002118536],"category_scores_gemma":[0.00023296275,0.00010429863,0.00020646499,0.0002135334,0.00013283303,0.0002239173,0.00027575772,0.00047362264,0.00068697886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009413421,0.000056084482,0.00088719797,0.00034003222,0.000034066205,0.00047550123,0.00029213124,0.09346768,0.32822424,0.06548405,0.011039646,0.49960518],"study_design_scores_gemma":[0.00002942833,0.00008019517,0.0007605666,0.00003606484,0.00002082211,0.0009641682,0.00004571976,0.8111543,0.07364385,0.012846783,0.10038812,0.000030050194],"about_ca_topic_score_codex":0.0007394415,"about_ca_topic_score_gemma":0.0011508255,"teacher_disagreement_score":0.002118536,"about_ca_system_score_codex":0.00016374394,"about_ca_system_score_gemma":0.00029805247,"threshold_uncertainty_score":0.007087171},"labels":[],"label_agreement":null},{"id":"W2021935258","doi":"10.1190/1.2815991","title":"GPR, TDR, and geochemistry measurements above an active gas vent to study near-surface gas-migration pathways","year":2007,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Process Research Ortech (Canada); StemSoft Software (Canada)","funders":"","keywords":"Ground-penetrating radar; Soil gas; Geology; Mineralogy; Natural gas; Fault (geology); Geophysics; Petrology; Radar; Seismology; Soil science; Soil water; Chemistry","score_opus":0.031081089780574056,"score_gpt":0.2768551496770119,"score_spread":0.24577405989643786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021935258","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99817574,0.000017526838,0.0013218011,0.0000073718684,0.0000031393158,0.000005056715,0.000091861046,0.000028220478,0.00034936288],"genre_scores_gemma":[0.99877363,0.000012611112,0.0009832017,0.000006255146,0.0000019042818,0.000002712264,0.00007219868,0.000003685999,0.0001438593],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99994004,0.0000067758847,0.0000029340265,0.000016982438,0.000019353556,0.000013851269],"domain_scores_gemma":[0.9999025,0.000022054734,0.000013926178,0.00000790253,0.000032508608,0.00002111455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010481809,0.00020322767,0.00019353215,0.00044364601,0.00014735278,0.00022019846,0.00020393424,0.00033526414,0.0005244531],"category_scores_gemma":[0.00015055048,0.00008430113,0.00011088269,0.00028090805,0.00014068266,0.00023845122,0.00017452669,0.00021231834,0.00012780268],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036210715,0.000099375415,0.04799583,0.00003900239,0.000014794195,0.0003515619,0.00025004524,0.0010444795,0.93904436,0.00006195295,0.0001236023,0.010612895],"study_design_scores_gemma":[0.000031547635,0.00089851656,0.7646862,0.000014095283,0.00004776465,0.0010417314,0.0010203499,0.024102718,0.20699047,0.00015080707,0.0009906335,0.000025099274],"about_ca_topic_score_codex":0.00092292775,"about_ca_topic_score_gemma":0.001255421,"teacher_disagreement_score":0.00092292775,"about_ca_system_score_codex":0.0000803579,"about_ca_system_score_gemma":0.00006403692,"threshold_uncertainty_score":0.0018351078},"labels":[],"label_agreement":null},{"id":"W2021943067","doi":"10.3997/2214-4609.20142020","title":"Effective Array of Electrical Survey for Detection of Piping Zone of Embankment","year":2014,"lang":"en","type":"article","venue":"Proceedings","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Future Earth","funders":"","keywords":"Piping; Levee; Current (fluid); Upstream (networking); Downstream (manufacturing); Engineering; Safety factor; Marine engineering; Point (geometry); Foundation (evidence); Environmental science; Civil engineering; Geotechnical engineering; Mechanical engineering; Electrical engineering","score_opus":0.00947657369996526,"score_gpt":0.24232650633805247,"score_spread":0.2328499326380872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021943067","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67526084,0.00041607872,0.31304446,0.00025213923,0.00006474397,0.000043504326,0.00062181894,0.0013829886,0.008913451],"genre_scores_gemma":[0.9644025,0.00010747015,0.033796627,0.000025663969,0.0000136278995,0.000019122383,0.00017925646,0.000013312997,0.0014423915],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99978215,0.000049076734,0.0000066965754,0.000059834336,0.000074179676,0.000028143751],"domain_scores_gemma":[0.9998099,0.000032946147,0.000022338447,0.000021693908,0.00008641433,0.000026751484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014635436,0.0002540612,0.00017195659,0.0010794121,0.00013165036,0.00021155429,0.0002908441,0.00028358906,0.0014450738],"category_scores_gemma":[0.0004492056,0.00011670436,0.00010338902,0.00048732752,0.00009613852,0.00032232556,0.00034028056,0.00015902452,0.00043150605],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003800719,0.000090092486,0.096651584,0.00024173982,0.00006626236,0.00065460504,0.00044806377,0.023847058,0.49434128,0.001886802,0.0031238764,0.3782686],"study_design_scores_gemma":[0.00006079784,0.000653792,0.22040105,0.00009004682,0.00011312188,0.0014076843,0.0009023935,0.596833,0.1637718,0.003482687,0.012192704,0.000090924776],"about_ca_topic_score_codex":0.00039734054,"about_ca_topic_score_gemma":0.0008555969,"teacher_disagreement_score":0.0014450738,"about_ca_system_score_codex":0.000104214625,"about_ca_system_score_gemma":0.00013215106,"threshold_uncertainty_score":0.0048342943},"labels":[],"label_agreement":null},{"id":"W2023231597","doi":"10.3997/1873-0604.2012038","title":"Spectral velocity analysis for the determination of ground‐wave velocities and their uncertainties in multi‐offset GPR data","year":2012,"lang":"en","type":"article","venue":"Near Surface Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph; University of Waterloo","funders":"","keywords":"Ground-penetrating radar; Geology; Economic geology; Offset (computer science); Hyperbola; Petrophysics; Remote sensing; Waveform; Regional geology; Range (aeronautics); Hydrogeology; Geodesy; Radar; Geometry; Mathematics; Geotechnical engineering; Computer science; Porosity","score_opus":0.07396035625424127,"score_gpt":0.2939950649939923,"score_spread":0.22003470873975103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023231597","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11375327,0.0001562486,0.8850573,0.00003636766,0.000015028094,0.00002719778,0.000088672816,0.0004330184,0.00043293272],"genre_scores_gemma":[0.6230626,0.00014749232,0.37582,0.000024223571,0.000022597527,0.000051063107,0.00032779665,0.00012040555,0.00042378713],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992126,0.0001877222,0.00004710466,0.0001476039,0.00036196687,0.00004298477],"domain_scores_gemma":[0.997799,0.0010893464,0.00036218387,0.00024005375,0.00047480036,0.00003461988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012528277,0.00051598204,0.0002556374,0.0021948132,0.00022349178,0.0005885036,0.00048330863,0.00046278528,0.00047333832],"category_scores_gemma":[0.0050047985,0.00020298889,0.00036596644,0.0010288385,0.00028384628,0.00081942754,0.000548468,0.00042445408,0.00026710157],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028682358,0.00019045989,0.022408828,0.00019331422,0.0001491209,0.00025433855,0.00033491466,0.27443376,0.10751482,0.005148954,0.0006878907,0.5883968],"study_design_scores_gemma":[0.0000073107913,0.000043181273,0.012028661,0.000019942354,0.000015342348,0.000110662506,0.00005305257,0.9664555,0.019332653,0.0010695141,0.00083677477,0.000027365668],"about_ca_topic_score_codex":0.0032398829,"about_ca_topic_score_gemma":0.0045593395,"teacher_disagreement_score":0.0032398829,"about_ca_system_score_codex":0.00033224805,"about_ca_system_score_gemma":0.0005362398,"threshold_uncertainty_score":0.0066256523},"labels":[],"label_agreement":null},{"id":"W2024475663","doi":"10.1016/j.wasman.2011.08.004","title":"Indirect measurements of field-scale hydraulic conductivity of waste from two landfill sites","year":2011,"lang":"en","type":"article","venue":"Waste Management","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Hydraulic conductivity; Environmental science; Scale (ratio); Field (mathematics); Waste management; Municipal solid waste; Environmental engineering; Soil science; Engineering; Soil water; Geography; Mathematics; Cartography","score_opus":0.058965639427391636,"score_gpt":0.25485816578306875,"score_spread":0.1958925263556771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024475663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99686617,0.000027760327,0.0017535875,0.000035936766,0.0000070068313,0.00001517809,0.0002149931,0.000054486132,0.0010248265],"genre_scores_gemma":[0.9975889,0.000027505364,0.001727546,0.000017594652,0.000005922047,0.000023359644,0.00016557165,0.0000071115746,0.00043654468],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99964476,0.0000559112,0.000015906648,0.000078914534,0.0001353825,0.000069206915],"domain_scores_gemma":[0.9995437,0.00013483835,0.000054870216,0.000054463828,0.00014531017,0.00006679548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037132116,0.00043111687,0.0005711717,0.00055684097,0.0007387956,0.00070406264,0.0007236542,0.0009345863,0.0006841456],"category_scores_gemma":[0.0005575377,0.0002453178,0.0002299257,0.0006322396,0.0007560765,0.0006978459,0.00056586514,0.0008846013,0.00021523901],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030923886,0.0011880996,0.122534506,0.00022766959,0.000077012686,0.00044503584,0.0014986815,0.0036883198,0.84149045,0.0005414275,0.0006040781,0.024612347],"study_design_scores_gemma":[0.00045795573,0.0026206404,0.32330355,0.000035095494,0.00016078503,0.0006952975,0.002023956,0.025979575,0.63951856,0.0010669812,0.0040223524,0.00011527997],"about_ca_topic_score_codex":0.0025458594,"about_ca_topic_score_gemma":0.0048511657,"teacher_disagreement_score":0.0025458594,"about_ca_system_score_codex":0.00044603957,"about_ca_system_score_gemma":0.00051822024,"threshold_uncertainty_score":0.0050620437},"labels":[],"label_agreement":null},{"id":"W2025115321","doi":"10.1117/12.462200","title":"&lt;title&gt;Imaging the past: archaeological radar stratigraphic analysis at Mahram Bilqis&lt;/title&gt;","year":2002,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Ground-penetrating radar; Geology; Radar; Geophysical survey; Identification (biology); Remote sensing; Archaeology; Geophysics; Computer science; Geography","score_opus":0.013031635487178915,"score_gpt":0.22519695049286223,"score_spread":0.2121653150056833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025115321","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95417017,0.0009211528,0.0020957836,0.001920285,0.00011587926,0.00006207813,0.0016053828,0.00029935045,0.038809862],"genre_scores_gemma":[0.94749784,0.0007462091,0.0043451646,0.00028267803,0.0000637738,0.000026459014,0.0013915107,0.0000734651,0.045572825],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9999294,0.000009364141,0.0000028908453,0.000012536821,0.000028193595,0.000017520815],"domain_scores_gemma":[0.9998869,0.000011832411,0.000016808683,0.000011403191,0.00004729499,0.00002573511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021510872,0.00012360867,0.00013145029,0.0009858477,0.0006464331,0.00044544955,0.00031785527,0.00018456692,0.009885108],"category_scores_gemma":[0.00017981236,0.00013809717,0.00007575739,0.00097183115,0.0003951406,0.0002560709,0.0003663155,0.00026020157,0.0027994146],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054563006,0.00024610906,0.18940459,0.0005282304,0.000029057686,0.008951243,0.014181997,0.0016789689,0.12265076,0.0027273337,0.04073276,0.6183233],"study_design_scores_gemma":[0.00004505464,0.0005689916,0.7961994,0.00014807927,0.000025456868,0.0061110267,0.009539851,0.0030284566,0.023022553,0.0010090432,0.16021739,0.00008472603],"about_ca_topic_score_codex":0.010959335,"about_ca_topic_score_gemma":0.028036438,"teacher_disagreement_score":0.010959335,"about_ca_system_score_codex":0.00061891065,"about_ca_system_score_gemma":0.0005470187,"threshold_uncertainty_score":0.033068955},"labels":[],"label_agreement":null},{"id":"W2025143997","doi":"10.3141/2205-22","title":"Mechanistic-Based Nondestructive Structural Asset Management Testing to Optimize Low-Volume Road Structural Upgrades","year":2011,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Saskatchewan Ministry of Agriculture; University of Saskatchewan","funders":"","keywords":"Upgrade; Asset management; Christian ministry; Transport engineering; Engineering; Service (business); Computer science; Business; Finance","score_opus":0.1084494778218831,"score_gpt":0.36550822604289296,"score_spread":0.2570587482210098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025143997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9583719,0.00006195861,0.035351135,0.00010318939,0.000009525368,0.00018798719,0.00041173733,0.00037825902,0.00512434],"genre_scores_gemma":[0.9752601,0.00004666585,0.023421997,0.00002890265,7.981373e-7,0.00003478315,0.00016659441,0.0000131699635,0.0010270786],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9995995,0.000078386984,0.00002209183,0.000053917498,0.00019582332,0.000050348935],"domain_scores_gemma":[0.99939203,0.00013866926,0.00009341208,0.000105718,0.0002426301,0.000027488466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089884456,0.00037903208,0.0002457544,0.00067580875,0.00023235385,0.0006950946,0.0008136294,0.000361824,0.001456982],"category_scores_gemma":[0.0013424372,0.00022374232,0.00019077751,0.0004890966,0.00037512145,0.00056180236,0.00039629985,0.00025920916,0.00023231462],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048232076,0.0008282366,0.10877339,0.0002232547,0.00006173176,0.0004328768,0.0005413613,0.2085872,0.4983378,0.0016936066,0.0011000284,0.17893818],"study_design_scores_gemma":[0.00011382656,0.002128596,0.16590428,0.00005249258,0.0000985113,0.00024481714,0.0012285463,0.52106994,0.3035149,0.0014171578,0.0041438774,0.00008296124],"about_ca_topic_score_codex":0.021038212,"about_ca_topic_score_gemma":0.109065615,"teacher_disagreement_score":0.021038212,"about_ca_system_score_codex":0.0013773547,"about_ca_system_score_gemma":0.0010517826,"threshold_uncertainty_score":0.041831493},"labels":[],"label_agreement":null},{"id":"W2025896306","doi":"10.1190/1.3505764","title":"Using helicopter electromagnetic (HEM) surveys to identify potential hazards at coal-waste impoundments: Examples from West Virginia","year":2010,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Energy Technology Laboratory","keywords":"Levee; Slurry; Geology; Resistive touchscreen; Mining engineering; Electrical resistivity and conductivity; Coal; Coal mining; Geotechnical engineering; Hydrology (agriculture); Environmental science; Engineering; Waste management; Environmental engineering","score_opus":0.01744548940575221,"score_gpt":0.2867843556124372,"score_spread":0.269338866206685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025896306","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99442434,0.00008112616,0.0015463921,0.00006096477,0.0000058537253,0.00004459878,0.0001287331,0.00002975138,0.003678254],"genre_scores_gemma":[0.99531543,0.00017228974,0.0028010309,0.000034698307,0.0000035842847,0.000010108286,0.0001408315,0.000009364949,0.0015126287],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997614,0.00006191216,0.000015148041,0.000033240893,0.00006997547,0.00005836429],"domain_scores_gemma":[0.9995291,0.00009938866,0.00006266074,0.00003992383,0.0002240121,0.000044899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000300313,0.00027957212,0.00012790276,0.0015052088,0.000957486,0.0006726454,0.0003891961,0.00027770456,0.00039206757],"category_scores_gemma":[0.00058914,0.00010208137,0.0001243166,0.0010058158,0.00031610852,0.0002897716,0.0005018622,0.00020494807,0.00012503097],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013660699,0.00024006846,0.7916695,0.00009901966,0.00006669347,0.0065128864,0.011676418,0.002755507,0.027626436,0.00047724583,0.00155791,0.15718174],"study_design_scores_gemma":[0.000009378618,0.0004884286,0.91594917,0.00011880694,0.000058857466,0.0026947465,0.02627369,0.0057922644,0.024599154,0.00031734706,0.023648169,0.000049992854],"about_ca_topic_score_codex":0.07462097,"about_ca_topic_score_gemma":0.29055905,"teacher_disagreement_score":0.07462097,"about_ca_system_score_codex":0.0005115177,"about_ca_system_score_gemma":0.00063679967,"threshold_uncertainty_score":0.14837325},"labels":[],"label_agreement":null},{"id":"W2026311217","doi":"10.1121/1.3085645","title":"A simplified approach to solving finite rough surface scattering problems","year":2009,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Scattering; Superposition principle; Surface (topology); Computation; Rough surface; Boundary value problem; Mathematics; Mathematical analysis; Space (punctuation); Field (mathematics); Boundary (topology); Physics; Geometry; Computer science; Optics; Algorithm; Pure mathematics; Materials science","score_opus":0.018621474024995907,"score_gpt":0.2513612004738882,"score_spread":0.2327397264488923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026311217","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022745756,0.00015996589,0.9939418,0.000083842235,0.000057329682,0.000041526768,0.000068029214,0.00020792118,0.0031651205],"genre_scores_gemma":[0.057793036,0.0010079691,0.9328601,0.00013724882,0.0001553337,0.0002825465,0.00036672025,0.0002734007,0.007123673],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99925596,0.00014950606,0.000035909623,0.00006936762,0.00044936652,0.000040030176],"domain_scores_gemma":[0.9991079,0.00038511708,0.00003761078,0.00019729108,0.00022877479,0.000043218213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005097516,0.00089602196,0.0013663314,0.0009189813,0.0006114498,0.0010990907,0.0017556312,0.0010382407,0.0059119603],"category_scores_gemma":[0.0020582234,0.0005180044,0.0015916396,0.0005680413,0.00061477715,0.001314324,0.0012062674,0.0019328246,0.0024157832],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006676615,0.00009224332,0.00033587453,0.0004964269,0.0000875421,0.0003553705,0.00028249127,0.7175551,0.02786498,0.15207864,0.004506926,0.09627762],"study_design_scores_gemma":[0.000016131376,0.000021783788,0.00009015207,0.000020085245,0.0000107140195,0.000092489456,0.00002492194,0.95709574,0.0021860101,0.026355127,0.01406983,0.00001700563],"about_ca_topic_score_codex":0.004210531,"about_ca_topic_score_gemma":0.0041629933,"teacher_disagreement_score":0.0059119603,"about_ca_system_score_codex":0.00058485894,"about_ca_system_score_gemma":0.0011919956,"threshold_uncertainty_score":0.019777417},"labels":[],"label_agreement":null},{"id":"W2027420164","doi":"10.1117/12.2017057","title":"Textural feature based target detection in through-the-wall radar imagery","year":2013,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Radar imaging; Remote sensing; Computer science; Feature (linguistics); Radar; Feature extraction; Artificial intelligence; Computer vision; Radar detection; Pattern recognition (psychology); Geology; Telecommunications","score_opus":0.008622521661144442,"score_gpt":0.22345317114175625,"score_spread":0.2148306494806118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027420164","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3577835,0.00068978756,0.6377045,0.00009349782,0.00004657143,0.00008405481,0.00016309343,0.0011881067,0.0022468902],"genre_scores_gemma":[0.71098506,0.000562323,0.28607008,0.000062617706,0.000046040455,0.00004585266,0.0004006488,0.00010540948,0.001721946],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977726,0.00003561539,0.000012806399,0.000052165193,0.000085545485,0.000036665922],"domain_scores_gemma":[0.9994522,0.00018799602,0.00013477523,0.0000597757,0.00013748127,0.00002775571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036105272,0.0005142745,0.00050386676,0.0015750636,0.00018613132,0.00058254646,0.0004825783,0.0005726907,0.00060530816],"category_scores_gemma":[0.0011774893,0.00018169265,0.0003068659,0.0008037952,0.00031971678,0.00082120433,0.00037781004,0.00041919967,0.00056572654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004939746,0.00013609184,0.004999831,0.00021841007,0.00005588986,0.00030000872,0.00017309704,0.02963191,0.4876164,0.0009534735,0.0010452626,0.47437575],"study_design_scores_gemma":[0.000017279868,0.00039063513,0.027787732,0.000036115733,0.00007592353,0.0010104523,0.00016479394,0.6638205,0.3028414,0.0011759385,0.0026235394,0.00005562095],"about_ca_topic_score_codex":0.00082989444,"about_ca_topic_score_gemma":0.0016146655,"teacher_disagreement_score":0.0015750636,"about_ca_system_score_codex":0.000194009,"about_ca_system_score_gemma":0.0001636297,"threshold_uncertainty_score":0.0020250082},"labels":[],"label_agreement":null},{"id":"W2027450714","doi":"10.1109/icgpr.2010.5550182","title":"GPR, ERT and CPT data integration for high resolution aquifer modeling","year":2010,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydrogeology; Electrical resistivity tomography; Ground-penetrating radar; Aquifer; Geology; Groundwater; Groundwater flow; Soil science; Hydraulic conductivity; Cone penetration test; Vadose zone; Watershed; Hydrology (agriculture); Geotechnical engineering; Electrical resistivity and conductivity; Soil water; Engineering","score_opus":0.05094480243906481,"score_gpt":0.2996841361697309,"score_spread":0.2487393337306661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027450714","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01693739,0.00008541984,0.972258,0.00011778958,0.000026783844,0.00005843488,0.0013584122,0.00666002,0.0024977468],"genre_scores_gemma":[0.35130277,0.00025995108,0.6378924,0.00010192907,0.00003389876,0.00025527546,0.0053164335,0.0007364343,0.004101003],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997209,0.000060357925,0.000028636685,0.000043567645,0.00012684865,0.00001981002],"domain_scores_gemma":[0.9995859,0.00010618152,0.00003257064,0.000100825695,0.00015964363,0.000014814729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078710396,0.0005349378,0.00044857292,0.00086716504,0.00018268736,0.0007600989,0.0007590627,0.0004974069,0.0048966827],"category_scores_gemma":[0.0017695844,0.00032969884,0.00040282626,0.0013643294,0.00017395186,0.0011672148,0.0005925086,0.0004115571,0.0013242648],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020438792,0.00016291824,0.004224972,0.000204525,0.00006229153,0.00041521015,0.0001186005,0.5393296,0.030723594,0.01626092,0.011358597,0.3969344],"study_design_scores_gemma":[0.00001553245,0.00002291464,0.0014738089,0.000010212353,0.000012839773,0.00008272941,0.000027671296,0.9804539,0.0064324755,0.0031819702,0.0082665775,0.000019359635],"about_ca_topic_score_codex":0.0044044703,"about_ca_topic_score_gemma":0.0036789163,"teacher_disagreement_score":0.0048966827,"about_ca_system_score_codex":0.00031418534,"about_ca_system_score_gemma":0.00051313196,"threshold_uncertainty_score":0.016380966},"labels":[],"label_agreement":null},{"id":"W2027673853","doi":"10.2113/jeeg11.1.27","title":"Electromagnetic Properties of Cemented Paste Backfill","year":2006,"lang":"en","type":"article","venue":"Journal of Environmental and Engineering Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Permittivity; Materials science; Conductivity; Coaxial; Composite material; Superplasticizer; Mineralogy; Relative permittivity; Fly ash; Dielectric; Analytical Chemistry (journal); Chemistry; Cement; Electrical engineering; Optoelectronics; Environmental chemistry","score_opus":0.003181342445575125,"score_gpt":0.13955224071679126,"score_spread":0.13637089827121612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027673853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969132,0.00024944142,0.0021401343,0.000019155355,0.0000098775645,0.000004920994,0.00015128218,0.00005901379,0.00045300074],"genre_scores_gemma":[0.99884063,0.00006511149,0.00041730108,0.000009103496,0.0000022611173,0.0000030729473,0.0001310569,0.00000950161,0.000521966],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998197,0.000023523562,0.000009085216,0.000023831215,0.00010206501,0.000021844844],"domain_scores_gemma":[0.99966943,0.00011240526,0.000053300537,0.000027233742,0.000111229914,0.000026471604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023519703,0.00018591828,0.0002263584,0.00031931195,0.00012588249,0.00021871888,0.00016154072,0.00020598697,0.0015198202],"category_scores_gemma":[0.0007016681,0.000096247866,0.00014065491,0.00027913507,0.0002797473,0.0002145121,0.00015499449,0.00018705345,0.0002204535],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001744644,0.000013587035,0.0012944214,0.00005200253,0.000007237177,0.00010109615,0.000053304113,0.0008341145,0.9933102,0.000054388216,0.000040028237,0.004065152],"study_design_scores_gemma":[0.000010810318,0.00035285446,0.013339054,0.000007463235,0.000017931052,0.00016178643,0.00009340435,0.0023109862,0.9826068,0.000045915836,0.0010428961,0.00001009301],"about_ca_topic_score_codex":0.0005226319,"about_ca_topic_score_gemma":0.00047466691,"teacher_disagreement_score":0.0015198202,"about_ca_system_score_codex":0.0001679859,"about_ca_system_score_gemma":0.000105133404,"threshold_uncertainty_score":0.005084336},"labels":[],"label_agreement":null},{"id":"W2027960590","doi":"10.1109/tmtt.2012.2198235","title":"Buried Object Characterization Using Ultra-Wideband Ground Penetrating Radar","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Ground-penetrating radar; Radar; Remote sensing; Radar imaging; Permittivity; Computer science; Acoustics; Geology; Electronic engineering; Engineering; Telecommunications; Dielectric; Physics; Electrical engineering","score_opus":0.015751562222980884,"score_gpt":0.2557830964650178,"score_spread":0.2400315342420369,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027960590","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18901566,0.0010692446,0.807593,0.000079809426,0.000039126073,0.000050415118,0.00005734221,0.0005308654,0.001564517],"genre_scores_gemma":[0.7006482,0.001244246,0.2963127,0.00008112799,0.000031247364,0.000038740498,0.00020023972,0.00005186495,0.0013915631],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99976,0.00004324951,0.000012523585,0.000051271873,0.00010740207,0.000025664594],"domain_scores_gemma":[0.99970967,0.000090533365,0.000065751905,0.000043824148,0.00007722857,0.000012989192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027511435,0.0004039345,0.0004694311,0.0010456622,0.00016769655,0.0007148437,0.00040265944,0.0006611692,0.00046064804],"category_scores_gemma":[0.00061496,0.00023062543,0.0002868158,0.0004808742,0.00031824704,0.0012600074,0.0005297801,0.0003344185,0.00031280454],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019589442,0.00005971059,0.0035881798,0.00030783063,0.00007018779,0.0005446374,0.00030770164,0.020567076,0.73178357,0.001869794,0.00040254116,0.24030271],"study_design_scores_gemma":[0.00004352843,0.0004542968,0.01945637,0.00008093512,0.00015771156,0.004055671,0.0007407278,0.3846595,0.57644314,0.0047125956,0.00905927,0.00013629533],"about_ca_topic_score_codex":0.00020111018,"about_ca_topic_score_gemma":0.00028804925,"teacher_disagreement_score":0.0010456622,"about_ca_system_score_codex":0.00014024242,"about_ca_system_score_gemma":0.00012462519,"threshold_uncertainty_score":0.0015410185},"labels":[],"label_agreement":null},{"id":"W2028419409","doi":"10.1117/12.462257","title":"&lt;title&gt;New pseudo-3D GPR data method for hydraulic conductivity estimation over an unconfined aquifer&lt;/title&gt;","year":2002,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Hydraulic conductivity; Ground-penetrating radar; Aquifer; Hydrogeology; Geology; Grid; Soil science; Reflection (computer programming); Spatial variability; Sampling (signal processing); Remote sensing; Geotechnical engineering; Groundwater; Computer science; Geodesy; Radar; Statistics; Computer vision; Mathematics","score_opus":0.03224963535792711,"score_gpt":0.2818990345752433,"score_spread":0.2496493992173162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028419409","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011315541,0.00009323465,0.98534346,0.00010764812,0.00007877718,0.000034785626,0.0004395326,0.0012643753,0.0013227283],"genre_scores_gemma":[0.07089538,0.0001457155,0.9237596,0.000065829365,0.000029471785,0.00008367785,0.0008067476,0.00025810333,0.0039555053],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99974006,0.00006351116,0.000012965379,0.000043802454,0.00012661408,0.0000130014105],"domain_scores_gemma":[0.99932694,0.00015335383,0.00005446126,0.00019039329,0.00024919526,0.000025665127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037312025,0.00033533477,0.00030891947,0.0007223722,0.00019137583,0.0006195112,0.00055238674,0.00052719266,0.0033347735],"category_scores_gemma":[0.0009855246,0.00022693559,0.0002620906,0.00083286397,0.00036873092,0.00068077975,0.0004593315,0.00046588783,0.0019720392],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032949916,0.000115419585,0.0034848112,0.0002531799,0.000056726214,0.0005134759,0.00014706828,0.036806643,0.33509701,0.01093184,0.016103107,0.5961611],"study_design_scores_gemma":[0.00003887861,0.00011486605,0.0064329184,0.000021488137,0.000028198952,0.0014261794,0.0000512617,0.8277676,0.12918808,0.0038864226,0.030912584,0.0001315013],"about_ca_topic_score_codex":0.0010043904,"about_ca_topic_score_gemma":0.002438829,"teacher_disagreement_score":0.0033347735,"about_ca_system_score_codex":0.00022078249,"about_ca_system_score_gemma":0.0003636339,"threshold_uncertainty_score":0.011155903},"labels":[],"label_agreement":null},{"id":"W2028892506","doi":"10.1109/ultsym.2014.0014","title":"Multi-layer ultrasonic imaging for non-destructive testing applications","year":2014,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Beamforming; Layer (electronics); Signature (topology); Computer science; Point (geometry); Ultrasonic sensor; Acoustics; Materials science; Physics; Telecommunications; Geometry; Nanotechnology","score_opus":0.024908985715271167,"score_gpt":0.2857567346619217,"score_spread":0.2608477489466505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028892506","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00958165,0.00037972833,0.9879561,0.00011065499,0.000035621706,0.000013858089,0.000025778072,0.0001582694,0.001738354],"genre_scores_gemma":[0.38960147,0.0013006498,0.60327166,0.00015786049,0.000056381443,0.00007093378,0.00009447627,0.00009890487,0.005347591],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997836,0.000050300227,0.00001111114,0.00003454902,0.00010307765,0.00001740474],"domain_scores_gemma":[0.99975115,0.000099549434,0.000042659656,0.000047336307,0.000046258905,0.0000130693315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028802754,0.00075395324,0.00029620552,0.00027487523,0.0001973797,0.0007531314,0.0008004012,0.0007728747,0.0011342727],"category_scores_gemma":[0.0006882154,0.0002594455,0.0004612764,0.000348691,0.00040212375,0.0013975351,0.00065264484,0.000791925,0.00064609153],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010707207,0.000089314155,0.001972,0.00041527438,0.000048394635,0.0003755851,0.0003325961,0.28363302,0.44438234,0.096413195,0.0019571336,0.1702741],"study_design_scores_gemma":[0.000004493756,0.000052375523,0.0003366949,0.0000149912785,0.000012401614,0.00022217786,0.000028479366,0.9382606,0.04446982,0.011019869,0.005559105,0.000018976667],"about_ca_topic_score_codex":0.0005167806,"about_ca_topic_score_gemma":0.0008578394,"teacher_disagreement_score":0.0011342727,"about_ca_system_score_codex":0.0003884203,"about_ca_system_score_gemma":0.00035709198,"threshold_uncertainty_score":0.003794551},"labels":[],"label_agreement":null},{"id":"W2029540277","doi":"10.1109/icif.2006.301741","title":"Identity multiassignment in ESM to radar fusion","year":2006,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Radar; Computer science; Identity (music); Sensor fusion; Artificial intelligence; Fusion; Process (computing); Interval (graph theory); Radar tracker; Information fusion; Computer vision; Data mining; Algorithm; Mathematics; Telecommunications; Acoustics","score_opus":0.007912213270213561,"score_gpt":0.2516436015929786,"score_spread":0.24373138832276503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029540277","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0066711362,0.00019180917,0.99212426,0.000060284216,0.00004100427,0.000013640463,0.000008102521,0.00015485864,0.0007348563],"genre_scores_gemma":[0.2847853,0.00043915008,0.7107709,0.00013517418,0.00009849365,0.00007628228,0.00011363123,0.00006686548,0.0035140903],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99856454,0.00042296576,0.00007686283,0.00024014013,0.00055487204,0.00014067933],"domain_scores_gemma":[0.998665,0.0005392123,0.00017144543,0.00028818668,0.00028770143,0.00004845503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022447298,0.0006207127,0.0010705241,0.0010418191,0.00085343514,0.0011544796,0.0010072859,0.0012041964,0.0012636611],"category_scores_gemma":[0.0060219313,0.00043713537,0.0006756648,0.0013275412,0.001082787,0.001852241,0.0027874068,0.0011910411,0.00078550196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024803696,0.000060452065,0.0015018077,0.000107204185,0.000047801506,0.0003264239,0.00038498922,0.24970542,0.0151798865,0.09229993,0.0017555165,0.6383825],"study_design_scores_gemma":[0.000015643105,0.00010209977,0.00072326325,0.000025146379,0.0000210962,0.00030198353,0.00009129978,0.9133847,0.023474663,0.053881507,0.007938594,0.00004001519],"about_ca_topic_score_codex":0.0012918691,"about_ca_topic_score_gemma":0.0009699705,"teacher_disagreement_score":0.0022447298,"about_ca_system_score_codex":0.0005967336,"about_ca_system_score_gemma":0.00074838806,"threshold_uncertainty_score":0.0118713975},"labels":[],"label_agreement":null},{"id":"W2029876577","doi":"10.1190/1.2370409","title":"Guidelines for location and use of base station data in aeromagnetic survey processing","year":2006,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba; Geological Survey of Canada","funders":"","keywords":"Aeromagnetic survey; Data processing; Base (topology); Computer science; Base station; Remote sensing; Geodesy; Geology; Database; Telecommunications","score_opus":0.1930904158777105,"score_gpt":0.3726700333163172,"score_spread":0.1795796174386067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029876577","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0049516917,0.0005424376,0.96207446,0.0021176445,0.0004642415,0.0077145724,0.005391046,0.006424811,0.010319179],"genre_scores_gemma":[0.006687814,0.00039991527,0.98275733,0.00034202976,0.00012115934,0.0050176955,0.00261738,0.0005958189,0.0014609639],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9638811,0.021553844,0.0067090774,0.0012143931,0.006009953,0.0006316799],"domain_scores_gemma":[0.85646236,0.049992055,0.012719908,0.023730693,0.05422603,0.0028689548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.035215784,0.0026547129,0.0019553348,0.010335335,0.0019838032,0.0049327584,0.0059239916,0.0033252414,0.009319099],"category_scores_gemma":[0.1399012,0.0030869893,0.0009911819,0.011005441,0.0014909825,0.0032863128,0.0027564073,0.004285627,0.016010446],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063303666,0.00087697624,0.013245849,0.0017698386,0.00019778038,0.0024842934,0.0059482674,0.020750081,0.025722828,0.02351878,0.28525466,0.6195977],"study_design_scores_gemma":[0.0013113349,0.0009869819,0.05225452,0.006602597,0.00029632382,0.002965968,0.0055123037,0.1000177,0.029984428,0.048024103,0.7512124,0.000831289],"about_ca_topic_score_codex":0.011038108,"about_ca_topic_score_gemma":0.019190097,"teacher_disagreement_score":0.035215784,"about_ca_system_score_codex":0.0010373465,"about_ca_system_score_gemma":0.0043265736,"threshold_uncertainty_score":0.18624109},"labels":[],"label_agreement":null},{"id":"W2031431566","doi":"10.1139/t07-064","title":"Vacuum pressure distribution and pore pressure variation in ground improved by vacuum preloading","year":2007,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Consolidation (business); Geotechnical engineering; Atmospheric pressure; Pore water pressure; Groundwater; Isotropy; Mechanics; Materials science; Chemistry; Geology; Optics; Physics","score_opus":0.005611782855563735,"score_gpt":0.21951528323925648,"score_spread":0.21390350038369274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031431566","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99729055,0.000066714805,0.0023644217,0.0000051133597,0.0000026551704,0.0000033707245,0.00003295361,0.000052623218,0.0001817132],"genre_scores_gemma":[0.9988605,0.000023613457,0.00086742564,0.0000032995176,0.000001084839,0.0000035769365,0.000049473914,0.000009214256,0.00018198414],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9996437,0.00002891377,0.000014411864,0.00007484756,0.00016802104,0.00007011464],"domain_scores_gemma":[0.99963284,0.00008957675,0.00010531766,0.00003340599,0.00010976471,0.000029017818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019786549,0.0002287543,0.0002810211,0.0004209011,0.00019698808,0.00035329087,0.0003286388,0.0002757514,0.00078111043],"category_scores_gemma":[0.00061804976,0.0002109625,0.0001423056,0.0003532153,0.00040286238,0.0005086937,0.00023751093,0.00024653165,0.00009667375],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021748703,0.00004496174,0.0058256695,0.000037851292,0.000008567141,0.000077966215,0.000104207524,0.0015903978,0.98167384,0.0000755983,0.000038950464,0.010304589],"study_design_scores_gemma":[0.000012519096,0.0006702511,0.073297955,0.000004877729,0.000025628278,0.000105508014,0.0001768793,0.0076695643,0.917211,0.00006229867,0.0007456363,0.000018020246],"about_ca_topic_score_codex":0.0012580509,"about_ca_topic_score_gemma":0.0013760679,"teacher_disagreement_score":0.0012580509,"about_ca_system_score_codex":0.00030348625,"about_ca_system_score_gemma":0.00014225703,"threshold_uncertainty_score":0.0026131272},"labels":[],"label_agreement":null},{"id":"W2031802166","doi":"10.1117/12.383624","title":"&lt;title&gt;Application of self-correcting tomographic inversion to a borehole radar test survey&lt;/title&gt;","year":2000,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Transmitter; Attenuation; Tomography; Geology; Radar; Inversion (geology); Borehole; Amplitude; Acoustics; Computer science; Physics; Telecommunications; Optics; Seismology","score_opus":0.008732082593896394,"score_gpt":0.22342727001109802,"score_spread":0.21469518741720162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031802166","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17979325,0.0027015193,0.574224,0.0027711212,0.0037886077,0.0011704541,0.00923682,0.010896933,0.21541737],"genre_scores_gemma":[0.5390349,0.0025703544,0.32208198,0.0003866248,0.00043292862,0.0003079274,0.0076635024,0.0020298224,0.12549193],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998933,0.000020917563,0.0000054453812,0.000018554252,0.00005442238,0.00000720891],"domain_scores_gemma":[0.9996351,0.000098946824,0.000022883996,0.00004362536,0.00018659527,0.000012869046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030337978,0.00022931203,0.00022566086,0.00050169334,0.00014617069,0.00038539566,0.0002949844,0.00025646717,0.012743604],"category_scores_gemma":[0.00084464316,0.00008285446,0.00016744522,0.0009665632,0.00018934242,0.00023336313,0.000203992,0.00017059522,0.002915854],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002880397,0.000122371,0.006582128,0.00056719437,0.00004666212,0.0014353248,0.00015321604,0.037351243,0.124031365,0.008875963,0.11986459,0.700682],"study_design_scores_gemma":[0.000087354165,0.00061517634,0.056742698,0.00011126567,0.000047991005,0.0014774111,0.0002827499,0.40850857,0.13923386,0.005829632,0.38698,0.000083324514],"about_ca_topic_score_codex":0.0050034495,"about_ca_topic_score_gemma":0.009620372,"teacher_disagreement_score":0.012743604,"about_ca_system_score_codex":0.00027585845,"about_ca_system_score_gemma":0.00024059264,"threshold_uncertainty_score":0.042631567},"labels":[],"label_agreement":null},{"id":"W2032316892","doi":"10.1680/macr.2008.60.3.205","title":"Estimating volume fraction of bound water in Portland cement concrete during hydration based on dielectric constant measurement","year":2008,"lang":"en","type":"article","venue":"Magazine of Concrete Research","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"ASL Environmental Sciences (Canada)","funders":"","keywords":"Dielectric; Bound water; Reflectometry; Materials science; Volume fraction; Portland cement; Cement; Volume (thermodynamics); Composite material; Mixing (physics); Water content; Dielectric loss; Constant (computer programming); Mineralogy; Fraction (chemistry); Water–cement ratio; Analytical Chemistry (journal); Thermodynamics; Chemistry; Time domain; Geotechnical engineering; Geology; Chromatography; Molecule; Organic chemistry","score_opus":0.05338339019422492,"score_gpt":0.30517719541688837,"score_spread":0.2517938052226635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032316892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955916,0.00023146691,0.0038901567,0.000006873204,0.0000030219192,0.000007236587,0.00004875061,0.000018045572,0.00020297631],"genre_scores_gemma":[0.99717975,0.00016040147,0.002340694,0.0000038470016,0.0000016880051,0.0000060149778,0.00005024425,0.0000060489924,0.00025137918],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998796,0.00001639913,0.0000061166384,0.000030416351,0.0000535684,0.000014026678],"domain_scores_gemma":[0.99979967,0.000051055118,0.0000791089,0.00001331479,0.00003619604,0.0000206461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018807105,0.00029490987,0.00019201133,0.00035837688,0.000118074466,0.00019170217,0.00016604227,0.00018940799,0.00032680228],"category_scores_gemma":[0.000457826,0.00017550342,0.0001319813,0.00025702483,0.00026002302,0.00038379728,0.00018862741,0.0003059218,0.0000977387],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013516194,0.000013661746,0.009417,0.000043093816,0.000008526178,0.000084433246,0.00012034376,0.00041072106,0.9856931,0.000016819338,0.00001024479,0.004046929],"study_design_scores_gemma":[0.0000060862094,0.0005336096,0.10740016,0.000008603255,0.00003695726,0.00035521138,0.00022684237,0.0091248015,0.88173157,0.00005023264,0.00049614965,0.000029675808],"about_ca_topic_score_codex":0.0015707548,"about_ca_topic_score_gemma":0.0018510928,"teacher_disagreement_score":0.0015707548,"about_ca_system_score_codex":0.00015119396,"about_ca_system_score_gemma":0.00009449865,"threshold_uncertainty_score":0.0031232238},"labels":[],"label_agreement":null},{"id":"W2033233252","doi":"10.1190/1.2216190","title":"The virtual source method: Theory and case study","year":2006,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":443,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Shell Canada","keywords":"Geophone; Overburden; Geology; Borehole; Vertical seismic profile; Waveform; Energy (signal processing); Computer science; Seismology; Acoustics; Algorithm; Mining engineering; Geotechnical engineering","score_opus":0.006132670782393159,"score_gpt":0.25641791944659315,"score_spread":0.2502852486642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033233252","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024057584,0.00046259418,0.9604652,0.00043748526,0.00004150558,0.000068238434,0.000058120855,0.00026169667,0.014147519],"genre_scores_gemma":[0.49673846,0.00084268616,0.49174693,0.00008482689,0.00007360132,0.00018929632,0.00010787652,0.00014409368,0.0100721875],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990538,0.00042660302,0.000034260098,0.00008757822,0.00034250444,0.000055222827],"domain_scores_gemma":[0.99768627,0.0016013255,0.00012212788,0.00025195605,0.00026379875,0.000074453004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001481896,0.0004888055,0.00044157525,0.0012246054,0.0006907136,0.0019516197,0.001585128,0.0017276371,0.00420856],"category_scores_gemma":[0.004250171,0.0004040204,0.0005568155,0.0013366241,0.0022450183,0.0014727112,0.0022181189,0.00088294403,0.00053466024],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018726553,0.00021219863,0.0052886726,0.00031338204,0.00006198497,0.0038315237,0.0014971173,0.27538836,0.010641724,0.4964898,0.005511628,0.20057632],"study_design_scores_gemma":[0.000027643044,0.00010259525,0.0005518121,0.000048961494,0.000016155043,0.0015314905,0.00032157046,0.9083363,0.0052577686,0.071002625,0.01275309,0.000050054223],"about_ca_topic_score_codex":0.0023356092,"about_ca_topic_score_gemma":0.0021800606,"teacher_disagreement_score":0.00420856,"about_ca_system_score_codex":0.0006622769,"about_ca_system_score_gemma":0.00049957645,"threshold_uncertainty_score":0.014079034},"labels":[],"label_agreement":null},{"id":"W2033326121","doi":"10.1139/l00-015","title":"Experimental measurement and finite element analysis of the deformation of a high-pressure sluice gate","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Science Council","keywords":"Sluice; Finite element method; Strain gauge; Deformation (meteorology); Gate valve; Geotechnical engineering; Structural engineering; Engineering; Water pressure; Materials science; Mechanical engineering; Composite material","score_opus":0.009362095377611375,"score_gpt":0.19295604775599534,"score_spread":0.18359395237838397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033326121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98995376,0.000018364835,0.008864126,0.000026609145,0.000009906642,0.000020247304,0.0001734737,0.0000732214,0.0008603134],"genre_scores_gemma":[0.995874,0.00002281434,0.0035817456,0.000004605888,0.0000016252208,0.000017738637,0.000104613304,0.0000068549953,0.00038589482],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99972075,0.000020567459,0.00001731293,0.000054103966,0.00014856494,0.000038605787],"domain_scores_gemma":[0.9994778,0.00019440622,0.000057005404,0.00011247764,0.000106403575,0.00005195512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038523367,0.00033149568,0.00027466752,0.00028266237,0.00036155214,0.00019423333,0.0005133244,0.0005716327,0.0016078432],"category_scores_gemma":[0.000808849,0.00019007937,0.0002376362,0.00036039602,0.00065565354,0.00030733788,0.00037842302,0.00033551815,0.00017791588],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021171955,0.00014700896,0.00824195,0.000106238585,0.000010536715,0.00027095928,0.00050836225,0.012847498,0.9646162,0.00035179185,0.00021341632,0.012474389],"study_design_scores_gemma":[0.00006391552,0.0016865736,0.09032313,0.000026729265,0.000034912835,0.0003804195,0.0005033877,0.1549489,0.74945647,0.00021197213,0.0023060578,0.000057504967],"about_ca_topic_score_codex":0.0010465382,"about_ca_topic_score_gemma":0.0023544545,"teacher_disagreement_score":0.0016078432,"about_ca_system_score_codex":0.0002306826,"about_ca_system_score_gemma":0.00032372124,"threshold_uncertainty_score":0.005378723},"labels":[],"label_agreement":null},{"id":"W2034425550","doi":"10.1080/17415977.2013.764873","title":"Solution of electromagnetic inverse medium scattering problems by the adaptive finite element method and perfectly matched layer","year":2013,"lang":"en","type":"article","venue":"Inverse Problems in Science and Engineering","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Waterloo","keywords":"Finite element method; Inverse problem; Permittivity; Inverse scattering problem; Electromagnetics; Mathematical analysis; Scattering; Inverse; Electromagnetic radiation; Physics; Mathematics; Optics; Dielectric; Geometry","score_opus":0.017697100328415122,"score_gpt":0.23621494840588486,"score_spread":0.21851784807746974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034425550","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004307589,0.00011314127,0.9947285,0.00004198694,0.000015204341,0.00001501669,0.000009924328,0.000043929896,0.0007246986],"genre_scores_gemma":[0.1296621,0.00032260054,0.8674293,0.000046648234,0.00002958916,0.00018960565,0.00007342921,0.00007095161,0.002175762],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961203,0.00016224125,0.000017622368,0.00003203433,0.0001569925,0.000019145364],"domain_scores_gemma":[0.9994704,0.00037338876,0.0000355129,0.00004015406,0.00006621383,0.00001428179],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006725893,0.0004719862,0.00056855555,0.00038249078,0.00027364783,0.0005450851,0.0008423826,0.0012261646,0.0010237021],"category_scores_gemma":[0.0017039477,0.00039353166,0.0006617331,0.0003602418,0.0006249758,0.00069320266,0.0008529108,0.0008497827,0.00030091972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006564628,0.000049279926,0.0005944688,0.0001849086,0.00006361874,0.00011409643,0.00016317551,0.8930612,0.011711603,0.032853607,0.0006816125,0.060456775],"study_design_scores_gemma":[0.0000061219052,0.000012174884,0.000048469956,0.000006613294,0.0000027862252,0.00003086658,0.0000109810235,0.9945733,0.0010835102,0.0032476084,0.00097126054,0.0000063497914],"about_ca_topic_score_codex":0.0016303539,"about_ca_topic_score_gemma":0.0010746547,"teacher_disagreement_score":0.0016303539,"about_ca_system_score_codex":0.00026269027,"about_ca_system_score_gemma":0.00068804884,"threshold_uncertainty_score":0.003557086},"labels":[],"label_agreement":null},{"id":"W2034580584","doi":"10.1016/j.jconhyd.2007.11.004","title":"Long-term ground penetrating radar monitoring of a small volume DNAPL release in a natural groundwater flow field","year":2008,"lang":"en","type":"article","venue":"Journal of Contaminant Hydrology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ground-penetrating radar; Groundwater; Aquifer; Geology; TRACER; Soil science; Hydrology (agriculture); Mineralogy; Geotechnical engineering; Radar","score_opus":0.01464729095420341,"score_gpt":0.24304130127491902,"score_spread":0.2283940103207156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034580584","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99931014,0.00001856047,0.00038625757,0.0000142985655,0.0000031716504,0.0000045582,0.000065068576,0.000015216694,0.00018259816],"genre_scores_gemma":[0.99947876,0.000012097306,0.0002557745,0.000007920763,0.0000024171275,0.0000034075972,0.000092721304,0.000001740882,0.00014527039],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999279,0.0000051811658,0.0000035084815,0.000022768514,0.000022936021,0.000017871553],"domain_scores_gemma":[0.99978524,0.00004451238,0.000046179597,0.0000152331795,0.000069276866,0.00003964805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015574471,0.00016085718,0.00024670377,0.0004038675,0.00042603383,0.0002922701,0.0002776593,0.00037305587,0.00027351716],"category_scores_gemma":[0.00028020347,0.000108924134,0.000105995285,0.00023930143,0.00032967216,0.00033927185,0.00026166765,0.0003211027,0.00008605069],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017132285,0.0010556817,0.3429186,0.000083310006,0.00008934663,0.0020918911,0.0008774955,0.007532773,0.60618234,0.00019616661,0.0006207371,0.03663854],"study_design_scores_gemma":[0.00004111745,0.0011787859,0.91458434,0.000010551398,0.00009124992,0.00064443366,0.00062403904,0.03231256,0.04961696,0.00010579657,0.00075665774,0.00003342748],"about_ca_topic_score_codex":0.0045793387,"about_ca_topic_score_gemma":0.006448744,"teacher_disagreement_score":0.0045793387,"about_ca_system_score_codex":0.0002691736,"about_ca_system_score_gemma":0.00020282404,"threshold_uncertainty_score":0.009105384},"labels":[],"label_agreement":null},{"id":"W2034983302","doi":"10.1016/j.jappgeo.2003.06.008","title":"Physical rock properties from the Athabasca Group: designing geophysical exploration models for unconformity uranium deposits","year":2003,"lang":"en","type":"article","venue":"Journal of Applied Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geological Survey of Canada","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Geology; Basement; Borehole; Uranium; Physical property; Mineralogy; Petrology; Well logging; Electrical resistivity and conductivity; Porosity; Geomorphology; Geochemistry; Geophysics; Geotechnical engineering","score_opus":0.03336209827146592,"score_gpt":0.2297387754365704,"score_spread":0.19637667716510449,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034983302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96918327,0.00008068296,0.02543876,0.0003000055,0.000011896277,0.000055281347,0.0011462211,0.0005834466,0.0032004935],"genre_scores_gemma":[0.9874315,0.000055954893,0.010804881,0.000018930079,0.0000038242274,0.000034853092,0.0008364779,0.000104806226,0.00070878153],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999923,0.000024842617,0.0000058108644,0.000013432757,0.000022954813,0.0000098855],"domain_scores_gemma":[0.9996979,0.00012590065,0.000028926977,0.00003718969,0.000089073066,0.000021022377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031072096,0.0006173245,0.0004168345,0.00046648594,0.0005854255,0.00064915634,0.0008890968,0.00064917153,0.0010373316],"category_scores_gemma":[0.0015197811,0.00044388798,0.00046820508,0.00055429235,0.00028881562,0.00058442453,0.0005691558,0.00039527004,0.00019463936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007361268,0.00004382905,0.010231875,0.000025238827,0.000029603578,0.00010517673,0.00006513044,0.97676784,0.0015295924,0.00054115383,0.0006086997,0.009978305],"study_design_scores_gemma":[0.000015240147,0.000017120256,0.0028130019,0.0000036037595,0.000018469496,0.000018539731,0.00004993531,0.99496514,0.0013416805,0.00036172263,0.00038660303,0.000008980545],"about_ca_topic_score_codex":0.08836533,"about_ca_topic_score_gemma":0.08558504,"teacher_disagreement_score":0.08836533,"about_ca_system_score_codex":0.0005624118,"about_ca_system_score_gemma":0.0010074951,"threshold_uncertainty_score":0.17570198},"labels":[],"label_agreement":null},{"id":"W2036033545","doi":"10.1016/s0969-8043(00)00218-9","title":"Landmine detection: the problem and the challenge","year":2000,"lang":"en","type":"review","venue":"Applied Radiation and Isotopes","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":95,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Neutron generator; Neutron; Photon; Neutron source; Radiation; Physics; Generator (circuit theory); Nuclear physics; Radiochemistry; Nuclear engineering; Computer science; Optics; Chemistry; Engineering; Power (physics)","score_opus":0.015122098437082097,"score_gpt":0.2528364962380489,"score_spread":0.2377143978009668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036033545","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00011693607,0.9949663,0.0010958525,0.0016349703,0.00031818912,0.0000032380206,0.000012587695,0.000010194371,0.0018418229],"genre_scores_gemma":[0.0011549471,0.99526936,0.0008910205,0.00081896526,0.00058463844,0.000006392247,0.000018458553,0.000004578565,0.0012515818],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99916863,0.00020114504,0.00006909753,0.00015253293,0.00036774937,0.000040979634],"domain_scores_gemma":[0.99605644,0.0023755457,0.00025323464,0.0001485323,0.0010463214,0.00011987663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002521183,0.001775602,0.003227762,0.003893243,0.0006756622,0.0029042652,0.0028128163,0.0053576166,0.0032330914],"category_scores_gemma":[0.003369276,0.0007045074,0.0005476995,0.005761921,0.003737976,0.0057931077,0.0014230696,0.0030330326,0.0035704004],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005057884,0.000095159936,0.0003940401,0.006100924,0.000064043474,0.00018214401,0.000109616405,0.0014080014,0.0011713187,0.023164526,0.036075667,0.931184],"study_design_scores_gemma":[0.000010753963,0.00006110964,0.0005610483,0.0023291148,0.000039355495,0.0010358153,0.00022804373,0.00048811568,0.0006119698,0.01876798,0.97582847,0.000038372258],"about_ca_topic_score_codex":0.0038566787,"about_ca_topic_score_gemma":0.0052667023,"teacher_disagreement_score":0.0053576166,"about_ca_system_score_codex":0.0018930617,"about_ca_system_score_gemma":0.002470769,"threshold_uncertainty_score":0.013735175},"labels":[],"label_agreement":null},{"id":"W2036415868","doi":"10.1061/(asce)be.1943-5592.0000679","title":"Method for Analyzing Time-Series GPR Data of Concrete Bridge Decks","year":2014,"lang":"en","type":"article","venue":"Journal of Bridge Engineering","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Smiths Detection (Canada); Concordia University","funders":"Gran Sasso Science Institute","keywords":"Ground-penetrating radar; Rebar; Bridge (graph theory); Bridge deck; Nondestructive testing; Structural engineering; Deck; Time series; Geotechnical engineering; Geology; Reflection (computer programming); Series (stratigraphy); Radar; Engineering; Computer science; Telecommunications","score_opus":0.02831185524289401,"score_gpt":0.2986671980140144,"score_spread":0.2703553427711204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036415868","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009364167,0.00006577703,0.9892665,0.000022718757,0.000022788501,0.000103645354,0.00016240336,0.00063809764,0.00035389085],"genre_scores_gemma":[0.07955968,0.00017699836,0.9181979,0.000026776175,0.000023899041,0.00036709174,0.0004345245,0.0000750617,0.001138109],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99938655,0.00010611884,0.000053725304,0.00017001966,0.00024702094,0.000036609497],"domain_scores_gemma":[0.99931216,0.00022336027,0.00009773273,0.000083916406,0.0002583139,0.000024633388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008058981,0.000635207,0.0004483639,0.0020058805,0.00024723168,0.0005479131,0.0006871141,0.00059052126,0.0018844797],"category_scores_gemma":[0.0018386476,0.00024959398,0.00054869807,0.001433023,0.00023189769,0.00049694197,0.00055508426,0.0006066472,0.0013404066],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000248267,0.00017077109,0.0050780843,0.00037311076,0.00011755308,0.0003189613,0.00023355757,0.016351042,0.16884431,0.00337775,0.0018039894,0.8030826],"study_design_scores_gemma":[0.00010198511,0.00039506756,0.021186812,0.00005424701,0.00014267399,0.0020676446,0.00031136497,0.8599057,0.09791564,0.0032916414,0.014490193,0.00013706855],"about_ca_topic_score_codex":0.0009274512,"about_ca_topic_score_gemma":0.0013274514,"teacher_disagreement_score":0.0020058805,"about_ca_system_score_codex":0.00016977152,"about_ca_system_score_gemma":0.0006236932,"threshold_uncertainty_score":0.006304264},"labels":[],"label_agreement":null},{"id":"W2036728298","doi":"10.1016/j.ndteint.2005.11.003","title":"Ability of the direct wave of radar ground-coupled antenna for NDT of concrete structures","year":2005,"lang":"en","type":"article","venue":"NDT & E International","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":92,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Attenuation; Radar; Nondestructive testing; Acoustics; Ground-penetrating radar; Surface wave; Reflection (computer programming); Antenna (radio); Wave propagation; Remote sensing; Geology; Geotechnical engineering; Engineering; Optics; Physics; Computer science; Telecommunications","score_opus":0.016550223104953986,"score_gpt":0.2671956822225275,"score_spread":0.2506454591175735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036728298","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5639131,0.0012743784,0.39713195,0.0005227109,0.00017895807,0.0000693105,0.0002627903,0.0006310833,0.0360157],"genre_scores_gemma":[0.94242144,0.0003677426,0.0510132,0.00013478426,0.000048328042,0.000030950778,0.00026551215,0.00006460744,0.005653457],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99969566,0.00006162399,0.0000109636385,0.000055134973,0.00014763132,0.00002902872],"domain_scores_gemma":[0.9989477,0.00046691732,0.00009777332,0.00018500262,0.00025282835,0.00004985921],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055367005,0.00041323,0.00027327865,0.00028564318,0.00014929574,0.000449879,0.00043257972,0.0005806789,0.0023645982],"category_scores_gemma":[0.0011727767,0.00026411217,0.0003166539,0.00032980603,0.00033125526,0.0006171589,0.0005584498,0.000361799,0.0008293664],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00075354835,0.000080606085,0.0063283625,0.00026568183,0.00005150698,0.00012074378,0.000388852,0.008329827,0.8675147,0.005228847,0.0011636653,0.1097736],"study_design_scores_gemma":[0.00013300653,0.000530618,0.013938355,0.000046954836,0.00017029229,0.0012117609,0.00017504969,0.19993982,0.7719016,0.002415348,0.009441885,0.00009536711],"about_ca_topic_score_codex":0.0002546313,"about_ca_topic_score_gemma":0.00037978098,"teacher_disagreement_score":0.0023645982,"about_ca_system_score_codex":0.00022165845,"about_ca_system_score_gemma":0.00023414387,"threshold_uncertainty_score":0.007910371},"labels":[],"label_agreement":null},{"id":"W2037037027","doi":"10.1111/j.1745-6584.2000.tb00249.x","title":"Ground Penetrating Radar Imaging of an Aquifer During a Pumping Test","year":2000,"lang":"en","type":"article","venue":"Ground Water","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Ground-penetrating radar; Piezometer; Geology; Aquifer; Capillary fringe; Transition zone; Reflection (computer programming); Drawdown (hydrology); Water table; Geotechnical engineering; Mineralogy; Groundwater; Soil science; Geomorphology; Radar; Geophysics","score_opus":0.00849769104999185,"score_gpt":0.22576524011113527,"score_spread":0.21726754906114343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037037027","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987888,0.000012033387,0.00092996925,0.000009024253,0.0000016013087,0.000004879021,0.000056171626,0.00003645118,0.00016120529],"genre_scores_gemma":[0.9991217,0.00001218316,0.00067808985,0.000012143246,0.0000014836057,0.0000044923327,0.000051773863,0.000004016438,0.00011405636],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999014,0.00001039885,0.0000051436327,0.000015636268,0.00003635708,0.000031108713],"domain_scores_gemma":[0.99979585,0.000054453103,0.00004298206,0.0000143139205,0.00006139745,0.000031027746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022203707,0.00020613374,0.00026027998,0.00040049825,0.00025276662,0.00026159207,0.0002797321,0.00032858018,0.00047604463],"category_scores_gemma":[0.00030794647,0.00014381102,0.000121405785,0.00034254396,0.00023977533,0.00019432836,0.0002303602,0.0002622156,0.0000862736],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038520712,0.0001359541,0.046862528,0.000049783113,0.000028626942,0.0014021739,0.00050126266,0.001983719,0.933869,0.00005807555,0.00022686423,0.014496855],"study_design_scores_gemma":[0.000034702243,0.0016153948,0.72830135,0.000017811553,0.00008344363,0.0009591438,0.0011719113,0.025805634,0.2409376,0.00009853595,0.00091852655,0.000055851546],"about_ca_topic_score_codex":0.0021720994,"about_ca_topic_score_gemma":0.0024161106,"teacher_disagreement_score":0.0021720994,"about_ca_system_score_codex":0.00019197034,"about_ca_system_score_gemma":0.00013005563,"threshold_uncertainty_score":0.0043189526},"labels":[],"label_agreement":null},{"id":"W2037629343","doi":"10.1190/1.1817459","title":"The effects of dip‐limited migration","year":2003,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","score_opus":0.004472689970120126,"score_gpt":0.21542501918855564,"score_spread":0.2109523292184355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037629343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88109195,0.002366824,0.00967023,0.0043721576,0.00041671126,0.00009948701,0.0023931859,0.00036823523,0.09922124],"genre_scores_gemma":[0.99379456,0.00045023722,0.0005823984,0.00021261343,0.00003158674,0.000011509788,0.00035909517,0.000050676354,0.0045072613],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993837,0.00020578149,0.000032612126,0.00010672953,0.000106595966,0.00016447094],"domain_scores_gemma":[0.99792033,0.00055138697,0.00029643686,0.00028682422,0.00057131035,0.00037378294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006966302,0.00063323346,0.00038236097,0.000776945,0.0008971624,0.00088837143,0.00082977617,0.0007510462,0.015567408],"category_scores_gemma":[0.005788591,0.00022230971,0.0005623169,0.0007894457,0.00072923396,0.0011077024,0.002137844,0.00062880374,0.0014984295],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031906713,0.00073314743,0.35536107,0.0009679919,0.0008048499,0.0048163915,0.0011973281,0.24717265,0.033212893,0.040053315,0.07122375,0.24126595],"study_design_scores_gemma":[0.0004558655,0.00072471355,0.79579955,0.00046174295,0.000643034,0.0012611252,0.0043928353,0.12507275,0.0069926973,0.026109047,0.037887786,0.00019899415],"about_ca_topic_score_codex":0.042648476,"about_ca_topic_score_gemma":0.041486565,"teacher_disagreement_score":0.042648476,"about_ca_system_score_codex":0.001450597,"about_ca_system_score_gemma":0.0012836001,"threshold_uncertainty_score":0.08480042},"labels":[],"label_agreement":null},{"id":"W2037934142","doi":"10.1190/1.1581068","title":"Removal of wavelet dispersion from ground-penetrating radar data","year":2003,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":145,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ground-penetrating radar; Attenuation; Wavelet; Geology; Radar; Dispersion (optics); Acoustics; Optics; Computer science; Physics; Telecommunications; Artificial intelligence","score_opus":0.03039291456804983,"score_gpt":0.2552734435805574,"score_spread":0.2248805290125076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037934142","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23847288,0.00014107328,0.7590807,0.0001275488,0.00006126667,0.00006001421,0.00016851236,0.0012312667,0.000656626],"genre_scores_gemma":[0.58486396,0.00023798434,0.41240087,0.00006088278,0.000038029804,0.000040247007,0.00072154956,0.00021225629,0.0014242944],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99961746,0.00006551862,0.00003510794,0.00007071333,0.00017142903,0.000039630435],"domain_scores_gemma":[0.9979602,0.00063790334,0.00025142124,0.00048730636,0.0006227093,0.00004054472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012707029,0.0006386784,0.000510424,0.0011408074,0.0002484022,0.0006409761,0.000481183,0.00051375246,0.0007548105],"category_scores_gemma":[0.005934607,0.00031191323,0.00046695463,0.0010806189,0.00038296415,0.00077178585,0.0005776913,0.00078917114,0.00055141124],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048288488,0.00017952088,0.00786197,0.00028529225,0.00009409528,0.00031397384,0.0003265487,0.05386521,0.34493798,0.0026584542,0.0012726358,0.5877214],"study_design_scores_gemma":[0.000058557347,0.00028555028,0.031729568,0.00005194399,0.00014992266,0.0006305852,0.00013785587,0.6696478,0.28832814,0.0031459953,0.005758812,0.00007519006],"about_ca_topic_score_codex":0.0015357323,"about_ca_topic_score_gemma":0.0011010136,"teacher_disagreement_score":0.0015357323,"about_ca_system_score_codex":0.00020606989,"about_ca_system_score_gemma":0.00054692273,"threshold_uncertainty_score":0.0067201853},"labels":[],"label_agreement":null},{"id":"W2038035203","doi":"10.1109/icgpr.2012.6254979","title":"Pipe condition assessments using Pipe Penetrating Radar","year":2012,"lang":"en","type":"article","venue":"2012 14th International Conference on Ground Penetrating Radar (GPR)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Ground-penetrating radar; Radar; Water pipe; Geology; Engineering; Mechanical engineering; Telecommunications","score_opus":0.0767469246229677,"score_gpt":0.3606521370102162,"score_spread":0.28390521238724853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038035203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82883626,0.00052313815,0.16062276,0.00008486233,0.000035010824,0.00022969734,0.0006736382,0.0018660137,0.0071287025],"genre_scores_gemma":[0.9762839,0.00033231577,0.02179035,0.000018859313,0.000009969866,0.000032293436,0.00030498498,0.000040568135,0.0011867675],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99937916,0.000105784515,0.00003590878,0.00010001551,0.00033743164,0.00004175171],"domain_scores_gemma":[0.9993549,0.0001366288,0.00014249675,0.000046419646,0.0002828856,0.00003659762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004453791,0.00048439225,0.00039947557,0.0016771004,0.0001563591,0.0005601216,0.00035487488,0.00048031393,0.0013620509],"category_scores_gemma":[0.0016144364,0.00026764633,0.00015367592,0.00057600177,0.0001982751,0.00093649956,0.0005449005,0.00027704847,0.0005341598],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056686375,0.00015767055,0.13450328,0.00054431474,0.00007326571,0.0011131885,0.0007232232,0.05383764,0.44071406,0.00067658036,0.001697493,0.3653924],"study_design_scores_gemma":[0.00010389944,0.0023613505,0.4050159,0.00013485484,0.00019129302,0.0021484972,0.0014090402,0.3560175,0.22159897,0.0018894607,0.008920309,0.00020892623],"about_ca_topic_score_codex":0.0009201435,"about_ca_topic_score_gemma":0.0014436563,"teacher_disagreement_score":0.0016771004,"about_ca_system_score_codex":0.00019724012,"about_ca_system_score_gemma":0.00017365356,"threshold_uncertainty_score":0.0045565367},"labels":[],"label_agreement":null},{"id":"W2038299179","doi":"10.1680/gr.14.00002","title":"Evaluation of a logarithmic-law strength rate parameter using full-flow penetrometers","year":2014,"lang":"en","type":"article","venue":"Geotechnical Research","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Penetrometer; Logarithm; Strain rate; Penetration (warfare); Penetration depth; Plasticity; Volumetric flow rate; Mechanics; Materials science; Penetration rate; Geotechnical engineering; Mathematics; Physics; Geology; Mathematical analysis; Soil science; Composite material; Soil water; Optics","score_opus":0.1699127908653119,"score_gpt":0.41846147189694877,"score_spread":0.24854868103163685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038299179","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7834792,0.00026299222,0.21281622,0.00006114906,0.000022576163,0.0001998628,0.00031970334,0.00089289434,0.0019452593],"genre_scores_gemma":[0.9729111,0.00012851636,0.02650327,0.00001223391,0.000003744917,0.000045989196,0.00008446439,0.000037160484,0.0002734507],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993267,0.0001284179,0.00005792059,0.000114478324,0.00032530393,0.00004719854],"domain_scores_gemma":[0.99592006,0.0022591972,0.0006341824,0.0004798585,0.0006507959,0.000055832483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021998682,0.0005892919,0.0003130071,0.0009138803,0.00012094048,0.00056943635,0.0010099688,0.00059727073,0.00092693086],"category_scores_gemma":[0.009855522,0.00029939332,0.00024624928,0.0006817345,0.00048655493,0.001429759,0.00057138567,0.00039719662,0.0002176187],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046527272,0.0003337524,0.023417711,0.00053389557,0.000033929755,0.00027677478,0.00031988203,0.059440248,0.8166758,0.0016950622,0.00020616496,0.09660145],"study_design_scores_gemma":[0.00003916889,0.00075772597,0.038335964,0.00004838387,0.000039133905,0.00046156437,0.00016477719,0.3064671,0.6511856,0.00072278554,0.0016484343,0.00012944454],"about_ca_topic_score_codex":0.0008485509,"about_ca_topic_score_gemma":0.0013117078,"teacher_disagreement_score":0.0021998682,"about_ca_system_score_codex":0.00038260382,"about_ca_system_score_gemma":0.0003114283,"threshold_uncertainty_score":0.011634171},"labels":[],"label_agreement":null},{"id":"W2040031703","doi":"10.1190/1.1444876","title":"Radio tomography and borehole radar delineation of the McConnell nickel sulfide deposit, Sudbury, Ontario, Canada","year":2000,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Geology; Borehole; Breccia; Seismology; Radar; Ground-penetrating radar; Sulfide; Mineralogy; Paleontology; Materials science; Telecommunications; Engineering","score_opus":0.004656147602419336,"score_gpt":0.17539330402153794,"score_spread":0.1707371564191186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040031703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872551,0.00032538906,0.0011981365,0.00015812107,0.0000081659,0.00005068932,0.0012181116,0.00006214058,0.009724097],"genre_scores_gemma":[0.9920534,0.00014876145,0.0017389462,0.00003001748,0.0000031634936,0.0000112650605,0.00051120395,0.000009145321,0.00549405],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981457,0.000008341274,0.000005605346,0.000039193194,0.0000909274,0.000041330935],"domain_scores_gemma":[0.99957865,0.00002670793,0.000060714636,0.000012248416,0.00027104895,0.000050553186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015388751,0.00017872623,0.000100294514,0.0010615693,0.0010875636,0.00051512104,0.00045398256,0.00017447528,0.0016788337],"category_scores_gemma":[0.0005323992,0.00015555503,0.00007466644,0.0009876108,0.00040968714,0.00020802824,0.0003388502,0.00019072204,0.00022577404],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065737,0.00008427755,0.6697385,0.0002596672,0.000066632485,0.004057478,0.006974083,0.0070027146,0.19266047,0.0014355105,0.007235886,0.1098274],"study_design_scores_gemma":[0.000010805495,0.00003121915,0.9855068,0.000024086956,0.000008175104,0.00016856645,0.001659049,0.0021883475,0.0038324902,0.000044239107,0.006514124,0.000012067282],"about_ca_topic_score_codex":0.9513102,"about_ca_topic_score_gemma":0.98993975,"teacher_disagreement_score":0.048689783,"about_ca_system_score_codex":0.0069271703,"about_ca_system_score_gemma":0.006735413,"threshold_uncertainty_score":0.09795302},"labels":[],"label_agreement":null},{"id":"W2040167308","doi":"10.1016/j.jappgeo.2013.08.015","title":"Application of the Brewster angle to quantify the dielectric properties of ground ice formations","year":2013,"lang":"en","type":"article","venue":"Journal of Applied Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Association of Canadian Universities for Northern Studies","keywords":"Ground-penetrating radar; Permittivity; Brewster's angle; Dielectric; Geology; Permafrost; Radar; Dielectric permittivity; Materials science; Optics; Brewster; Optoelectronics; Physics; Computer science; Telecommunications","score_opus":0.01336882800047384,"score_gpt":0.21608732219783897,"score_spread":0.20271849419736512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040167308","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82925206,0.000584262,0.16320623,0.000081716666,0.000053116877,0.000048692007,0.00048578926,0.00050224364,0.0057858885],"genre_scores_gemma":[0.96796286,0.00031208992,0.031179,0.000020061541,0.000016503887,0.00001534731,0.0001331656,0.000029784242,0.0003311779],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99979085,0.000058528658,0.000015990443,0.00004774183,0.00005959476,0.000027367707],"domain_scores_gemma":[0.9993438,0.00024625182,0.000119674914,0.00010169511,0.00014386444,0.000044592547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048931065,0.00043978528,0.0002467226,0.0020215567,0.0002038069,0.00068655313,0.00019008355,0.00029525225,0.0005920824],"category_scores_gemma":[0.0009601246,0.00015823965,0.0002431554,0.0010550091,0.00030821637,0.0005862064,0.0005001895,0.00034100914,0.00022562643],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006216934,0.00032860177,0.16394249,0.00020740433,0.0002614144,0.00030324396,0.00061969296,0.04790411,0.5308516,0.0038151168,0.0008767003,0.25026795],"study_design_scores_gemma":[0.00007549791,0.00051479676,0.26792225,0.00006051646,0.00019438578,0.00081230944,0.0010226875,0.46385878,0.2573921,0.0030895248,0.004867618,0.00018953827],"about_ca_topic_score_codex":0.0013034572,"about_ca_topic_score_gemma":0.0016662262,"teacher_disagreement_score":0.0020215567,"about_ca_system_score_codex":0.00015199171,"about_ca_system_score_gemma":0.00023049244,"threshold_uncertainty_score":0.0025916696},"labels":[],"label_agreement":null},{"id":"W2040346055","doi":"10.2113/jeeg10.1.1","title":"Golf Course Applications of Near-Surface Geophysical Methods: A Case Study","year":2005,"lang":"en","type":"article","venue":"Journal of Environmental and Engineering Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"DuPont (Canada); Research Canada","funders":"","keywords":"Ground-penetrating radar; Course (navigation); EMI; Geology; Radar; Geophysics; Remote sensing; Engineering; Telecommunications; Electromagnetic interference","score_opus":0.006640788796159884,"score_gpt":0.2531231572613049,"score_spread":0.246482368465145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040346055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9887905,0.00023683137,0.0062113414,0.00032414353,0.000011816199,0.00023665979,0.00006683602,0.000033704386,0.0040881517],"genre_scores_gemma":[0.98397624,0.00041966542,0.013470468,0.00011850919,0.000014321075,0.00009112692,0.00006393396,0.000013383023,0.0018323844],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976942,0.001133901,0.00008714981,0.00014816089,0.00070478005,0.0002316889],"domain_scores_gemma":[0.99544877,0.0026080466,0.00041668437,0.00036416546,0.0009587256,0.00020369451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021937536,0.00059458165,0.00029547105,0.0016148683,0.0013251076,0.0013294308,0.0010543067,0.0016317919,0.0010674899],"category_scores_gemma":[0.004506296,0.0002691949,0.00044034445,0.001794236,0.000933457,0.0008027653,0.0010762577,0.000695243,0.00027855844],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007007808,0.0056614405,0.46997145,0.00094206195,0.00015909241,0.105343215,0.022797493,0.018246958,0.025938343,0.0037055602,0.0053509534,0.34118268],"study_design_scores_gemma":[0.00021523384,0.009671331,0.5792604,0.0005756705,0.00024911834,0.08348058,0.11306986,0.113459416,0.043783113,0.0026711884,0.053329647,0.00023447494],"about_ca_topic_score_codex":0.008666779,"about_ca_topic_score_gemma":0.033042543,"teacher_disagreement_score":0.008666779,"about_ca_system_score_codex":0.0012826816,"about_ca_system_score_gemma":0.00065118726,"threshold_uncertainty_score":0.017232656},"labels":[],"label_agreement":null},{"id":"W2040762839","doi":"10.1016/j.powtec.2008.08.020","title":"Detection of oversized material in a hydrotransport slurry pipe using a non-invasive acoustic method","year":2008,"lang":"en","type":"article","venue":"Powder Technology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Syncrude","keywords":"Slurry; Pipeline transport; Materials science; Acoustics; Geotechnical engineering; Geology; Composite material; Engineering; Mechanical engineering","score_opus":0.013193543529733886,"score_gpt":0.2529514235451074,"score_spread":0.23975788001537351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040762839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8939401,0.00046357355,0.1037011,0.00023285602,0.000086071326,0.000044047843,0.000083729494,0.0002227032,0.0012258084],"genre_scores_gemma":[0.9496603,0.00029475588,0.048214696,0.00006742748,0.000050134233,0.00003663082,0.000045726425,0.000014933806,0.0016154132],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99978274,0.000028446746,0.000007781634,0.000052335097,0.00011182851,0.000016955366],"domain_scores_gemma":[0.99956614,0.000238059,0.00008204925,0.00003038183,0.000051961197,0.00003134177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002596633,0.00026171628,0.00031959885,0.00031238343,0.00020474025,0.00031274132,0.00050723174,0.00064163684,0.0005319838],"category_scores_gemma":[0.00056150975,0.00025118273,0.0001368487,0.00016103427,0.000584536,0.00059332175,0.00047786252,0.00037790515,0.00016105917],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012240726,0.0000133381645,0.0011337062,0.000039624476,0.000004247825,0.00012747913,0.000046365396,0.0001559835,0.9934442,0.000092708906,0.000040324314,0.0047795563],"study_design_scores_gemma":[0.000038507616,0.0006499612,0.016011368,0.000011601482,0.000041418723,0.0007966924,0.00019115383,0.021883504,0.95867187,0.00022714458,0.0014507602,0.00002606627],"about_ca_topic_score_codex":0.00023465093,"about_ca_topic_score_gemma":0.00041551358,"teacher_disagreement_score":0.00064163684,"about_ca_system_score_codex":0.0001369692,"about_ca_system_score_gemma":0.00019600539,"threshold_uncertainty_score":0.0017796159},"labels":[],"label_agreement":null},{"id":"W2041297749","doi":"10.1007/s12665-011-1349-5","title":"Delineation of mafic intrusions near Bedford (Virginia, USA) using geological and geophysical methods","year":2011,"lang":"en","type":"article","venue":"Environmental Earth Sciences","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Nuclear Safety Commission","keywords":"Geology; Dike; Mafic; Hydrogeology; Groundwater; Ground-penetrating radar; Lineation; Aquifer; Seismic refraction; Lithology; Seismology; Exploration geophysics; Geophysics; Geochemistry; Geomorphology; Radar; Tectonics","score_opus":0.04974866985908506,"score_gpt":0.29544890639160054,"score_spread":0.2457002365325155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041297749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899828,0.0002860749,0.0010906195,0.00008697485,0.0000123412465,0.000041276053,0.0005643683,0.00007099432,0.007864533],"genre_scores_gemma":[0.99387604,0.00011339123,0.0036736045,0.000024473044,0.00000756583,0.0000317267,0.0005357717,0.0000064923593,0.0017309765],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999858,0.000017976196,0.000013041891,0.000028039765,0.000045798395,0.000037136804],"domain_scores_gemma":[0.9997241,0.000042032,0.00004905835,0.000017017255,0.00013081467,0.00003683233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016146465,0.00013100157,0.0001340418,0.0018488078,0.00089469965,0.0008042387,0.00042553173,0.00028048496,0.00058696733],"category_scores_gemma":[0.0007193934,0.00011555559,0.00008576749,0.00093842804,0.00025920966,0.00026054814,0.00072953705,0.00018443656,0.000119890894],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013026512,0.000107098,0.8598054,0.00008450806,0.0000602235,0.00025097723,0.0019913067,0.0019160119,0.013633363,0.0015983654,0.0028624297,0.117560014],"study_design_scores_gemma":[0.00001292828,0.000027116868,0.97771454,0.00005276174,0.00002021948,0.00010136241,0.0016440329,0.004817969,0.0014679331,0.00013709835,0.013994644,0.000009456827],"about_ca_topic_score_codex":0.23658703,"about_ca_topic_score_gemma":0.6280605,"teacher_disagreement_score":0.23658703,"about_ca_system_score_codex":0.00082585623,"about_ca_system_score_gemma":0.0016680086,"threshold_uncertainty_score":0.47041994},"labels":[],"label_agreement":null},{"id":"W2042123808","doi":"10.1139/t02-092","title":"Heterogeneity detection in an experimental clay liner","year":2003,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hydraulic conductivity; Ground-penetrating radar; Geology; Infiltrometer; Permeameter; Geotechnical engineering; Borehole; Permeability (electromagnetism); Compaction; Bed; Centrifuge; Infiltration (HVAC); Soil science; Soil water; Materials science; Radar; Composite material; Engineering","score_opus":0.02023096044690566,"score_gpt":0.2746110133103033,"score_spread":0.25438005286339765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042123808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986487,0.000010419312,0.0011963171,0.0000035397093,0.0000018667621,0.0000075106354,0.000032849435,0.000018904202,0.000079824626],"genre_scores_gemma":[0.9981871,0.0000124104345,0.0014413625,0.000006276288,0.0000014556605,0.000008868314,0.000048709488,0.0000051752445,0.00028865764],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997304,0.000028580238,0.000016785167,0.00010200656,0.00007409184,0.000048045134],"domain_scores_gemma":[0.99943703,0.00014416232,0.00019106382,0.000071452414,0.000084900246,0.00007131109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002672027,0.00030076542,0.0003103086,0.00025761707,0.00015363167,0.00026838813,0.00034011406,0.0004058238,0.00059972185],"category_scores_gemma":[0.00044049582,0.00012824508,0.00022357854,0.0001679835,0.0003248992,0.00020345452,0.00038539086,0.0002644594,0.00010888217],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025400994,0.00007419953,0.0021126203,0.000017852743,0.000006629219,0.00015028751,0.000056224417,0.0007672459,0.9952792,0.000018888148,0.000007723735,0.0012550928],"study_design_scores_gemma":[0.000057287525,0.0038287872,0.029492905,0.0000054183965,0.000057695557,0.00024755756,0.00022823039,0.01058375,0.9549367,0.000040052415,0.0004943655,0.000027266347],"about_ca_topic_score_codex":0.0008997027,"about_ca_topic_score_gemma":0.0010987275,"teacher_disagreement_score":0.0008997027,"about_ca_system_score_codex":0.00020503094,"about_ca_system_score_gemma":0.0001107297,"threshold_uncertainty_score":0.0020062327},"labels":[],"label_agreement":null},{"id":"W2042861499","doi":"10.2113/jeeg13.3.131","title":"Adaptive Focusing for Source Localization in EMI Sensing of Metallic Objects: A Preliminary Assessment","year":2008,"lang":"en","type":"article","venue":"Journal of Environmental and Engineering Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Strategic Environmental Research and Development Program","keywords":"EMI; Geology; Remote sensing; Seismology; Electromagnetic interference; Computer science; Telecommunications","score_opus":0.009583739736046152,"score_gpt":0.20281950352165923,"score_spread":0.19323576378561308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042861499","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12009787,0.004667578,0.8701148,0.0004115039,0.000048725295,0.00010596138,0.00003601828,0.00023661056,0.004280958],"genre_scores_gemma":[0.7014245,0.006446135,0.2877772,0.00017586314,0.00022342979,0.00012437675,0.00012200854,0.00005476015,0.0036517612],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995921,0.00014900553,0.000013921165,0.00006197239,0.00016226448,0.000020645752],"domain_scores_gemma":[0.9988048,0.00075949583,0.000048285034,0.0000809582,0.00028624953,0.000020198115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014271003,0.0004905115,0.00033070904,0.0005094264,0.00019632428,0.0004644558,0.0005493085,0.00077138,0.0014468678],"category_scores_gemma":[0.0027474484,0.00018029478,0.00034181392,0.0004153518,0.000549271,0.0009525111,0.0005996685,0.00034575025,0.00025590247],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015854567,0.0003696053,0.0063442187,0.00090867025,0.00018145973,0.0006298084,0.00054747623,0.18789007,0.30018505,0.021990053,0.0016657152,0.47770247],"study_design_scores_gemma":[0.0000989492,0.0016948729,0.007069402,0.00010998471,0.00013376582,0.00079931953,0.00024971875,0.85025126,0.12480425,0.005485505,0.009222402,0.00008053856],"about_ca_topic_score_codex":0.0011404869,"about_ca_topic_score_gemma":0.00066671916,"teacher_disagreement_score":0.0014468678,"about_ca_system_score_codex":0.00030603234,"about_ca_system_score_gemma":0.0002230792,"threshold_uncertainty_score":0.007547319},"labels":[],"label_agreement":null},{"id":"W2043153484","doi":"10.1002/arp.319","title":"Common‐ and multi‐offset ground‐penetrating radar study of a Roman villa, Tourega, Portugal","year":2007,"lang":"en","type":"article","venue":"Archaeological Prospection","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"ARC Resources (Canada); University of Calgary","funders":"","keywords":"Ground-penetrating radar; Offset (computer science); Geology; Remote sensing; Radar; Computer science; Telecommunications","score_opus":0.02199052704232215,"score_gpt":0.28254438432437007,"score_spread":0.26055385728204794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043153484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956346,0.00008884124,0.00007894405,0.000027738752,0.0000041459257,0.0000103871425,0.00008958389,0.0000056599383,0.004060062],"genre_scores_gemma":[0.99733233,0.00007260757,0.00021342911,0.000015123044,0.0000030649906,0.000004314529,0.00008574638,0.000005760267,0.0022675558],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99987507,0.000019386414,0.0000033354215,0.000031225925,0.000022575943,0.00004846694],"domain_scores_gemma":[0.99991727,0.000018996918,0.000015073687,0.000010413682,0.000014381191,0.000023891344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018615031,0.000252486,0.00029050687,0.000799349,0.001263885,0.00088968145,0.00038584892,0.00044030667,0.0018295062],"category_scores_gemma":[0.00023830756,0.00030055846,0.00025443156,0.000623799,0.0008524948,0.00016607283,0.0005114838,0.00026398175,0.00039008717],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013905624,0.0008783962,0.7057625,0.00044068397,0.00018685446,0.08937161,0.06051374,0.0020115608,0.07023112,0.0027420146,0.0034454945,0.06302539],"study_design_scores_gemma":[0.000015844595,0.00028450493,0.9579969,0.00004483442,0.000019087676,0.006684283,0.022614893,0.00057926204,0.0010348841,0.00006753526,0.010635317,0.000022604874],"about_ca_topic_score_codex":0.041948102,"about_ca_topic_score_gemma":0.11580246,"teacher_disagreement_score":0.041948102,"about_ca_system_score_codex":0.00072881154,"about_ca_system_score_gemma":0.00054085045,"threshold_uncertainty_score":0.08340788},"labels":[],"label_agreement":null},{"id":"W2043163669","doi":"10.1117/12.383537","title":"&lt;title&gt;Application of complex trace analysis for improved target identification in gem-tourmaline-bearing pegmatites in the Himalaya mine, San Diego County, California&lt;/title&gt;","year":2000,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Gran Sasso Science Institute","keywords":"Pegmatite; Tourmaline; Geology; Ground-penetrating radar; Bearing (navigation); Dike; Mining engineering; Geochemistry; Radar; Engineering; Cartography; Geography","score_opus":0.011867345911805055,"score_gpt":0.24330691654247213,"score_spread":0.23143957063066709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043163669","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9751092,0.00051463227,0.010527001,0.0006822248,0.000091636735,0.00006952089,0.0010202687,0.0005022748,0.011483343],"genre_scores_gemma":[0.9673084,0.00037533592,0.01849951,0.000079245096,0.00003524974,0.000019185618,0.0009748532,0.00004972836,0.012658416],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9999628,0.0000031589016,0.0000015628574,0.000014270211,0.000014468542,0.0000038135036],"domain_scores_gemma":[0.99992037,0.000014664796,0.000009739697,0.000006066584,0.000040099792,0.000009113893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010543068,0.00012613037,0.00009618951,0.00043683546,0.00024398517,0.00030032275,0.00021037074,0.00012063502,0.001728913],"category_scores_gemma":[0.00016509536,0.000054357126,0.000068813315,0.00024081525,0.00010655571,0.000109732275,0.00016560225,0.000122009966,0.00030741785],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008866394,0.00022533906,0.25218996,0.00023744075,0.00006686979,0.0014181975,0.0010088918,0.009623687,0.28629404,0.000717637,0.023808101,0.42352325],"study_design_scores_gemma":[0.000058806654,0.00036700643,0.8287622,0.000024434084,0.000063550295,0.00080025994,0.0011013243,0.045412067,0.07731136,0.00045542372,0.045606688,0.000036914396],"about_ca_topic_score_codex":0.04221101,"about_ca_topic_score_gemma":0.11933352,"teacher_disagreement_score":0.04221101,"about_ca_system_score_codex":0.0004329828,"about_ca_system_score_gemma":0.0001886321,"threshold_uncertainty_score":0.08393061},"labels":[],"label_agreement":null},{"id":"W2043165988","doi":"10.1190/1.1817492","title":"Comparison of airborne magnetic and electromagnetic data from a bombing target","year":2003,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"General Motors (Canada)","funders":"","keywords":"Remote sensing; Computer science; Environmental science; Aerospace engineering; Engineering; Geology","score_opus":0.03390662778526104,"score_gpt":0.29725463226925664,"score_spread":0.2633480044839956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043165988","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92738414,0.00067099114,0.008232139,0.00036194426,0.0002819236,0.00010682393,0.017674891,0.0019293084,0.043357868],"genre_scores_gemma":[0.9527837,0.00041059157,0.0065726074,0.00012460722,0.0000813603,0.00004678313,0.028794477,0.00030128748,0.010884576],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9996458,0.000020936053,0.000015567928,0.000088102475,0.00018397241,0.000045575296],"domain_scores_gemma":[0.9993587,0.000071149,0.000052669526,0.000058189533,0.00040769062,0.000051650455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033532872,0.00030850776,0.00033865514,0.0018587118,0.0005564001,0.00081872585,0.0003879433,0.00045629352,0.005269211],"category_scores_gemma":[0.00071398105,0.0001755215,0.00032988717,0.0017480752,0.00013115493,0.00046280515,0.0005134211,0.00044038412,0.0021492816],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024866485,0.00060923235,0.2969913,0.0006525565,0.0003745418,0.0012919288,0.0017526542,0.014862283,0.28961268,0.001050508,0.05972473,0.33059096],"study_design_scores_gemma":[0.000093249306,0.00046705428,0.91023034,0.00007182558,0.00017694781,0.00041769084,0.0011268795,0.010815257,0.040238045,0.00028333,0.035997324,0.000082102444],"about_ca_topic_score_codex":0.029281117,"about_ca_topic_score_gemma":0.04806739,"teacher_disagreement_score":0.029281117,"about_ca_system_score_codex":0.0006428671,"about_ca_system_score_gemma":0.00055460806,"threshold_uncertainty_score":0.05822134},"labels":[],"label_agreement":null},{"id":"W2043330001","doi":"10.1139/l01-062","title":"Évaluation de l'état du béton par la technique d'analyse spectrale des ondes de Rayleigh","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Rayleigh wave; Nondestructive testing; Rayleigh scattering; Acoustics; Structural engineering; Physics; Optics; Engineering; Wave propagation","score_opus":0.01376142731783613,"score_gpt":0.22129789124610172,"score_spread":0.20753646392826558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043330001","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08968356,0.0050334693,0.8944782,0.00048706072,0.0003378683,0.00020390586,0.00020737742,0.00083813904,0.008730399],"genre_scores_gemma":[0.3092436,0.005872731,0.6712726,0.00018504878,0.00024881036,0.00045833024,0.00030342542,0.00033723502,0.012078279],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9917291,0.0023279486,0.00024562315,0.000993953,0.004496178,0.0002071256],"domain_scores_gemma":[0.98708236,0.0077831848,0.0007916801,0.0010864425,0.0030745408,0.00018176285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008812512,0.0014173986,0.0009781753,0.0028999862,0.0005215704,0.0016006754,0.0014170477,0.0017714681,0.003116725],"category_scores_gemma":[0.014703254,0.0005663829,0.0006653909,0.0015226665,0.0018193732,0.0027619584,0.00078292226,0.0016758172,0.0024217234],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044217278,0.00018769024,0.0128375515,0.00042784796,0.000115352275,0.00013829554,0.0007193125,0.0050557395,0.4398565,0.0110042,0.0007342261,0.52848107],"study_design_scores_gemma":[0.00015207128,0.0024046858,0.078529686,0.00028350382,0.00027162224,0.0032081273,0.00074954325,0.16722588,0.6824244,0.008134164,0.056219038,0.00039725495],"about_ca_topic_score_codex":0.0032643483,"about_ca_topic_score_gemma":0.0036429241,"teacher_disagreement_score":0.008812512,"about_ca_system_score_codex":0.00055421964,"about_ca_system_score_gemma":0.0010655477,"threshold_uncertainty_score":0.046605587},"labels":[],"label_agreement":null},{"id":"W2044534274","doi":"10.1115/nawtec11-1677","title":"Long-Term Operating Results: Ash Monofill","year":2003,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Leachate; Environmental science; Waste management; Cadmium; Hazardous waste; Groundwater; Incineration; Environmental engineering; Lime; Compaction; Engineering; Geotechnical engineering; Geology; Chemistry","score_opus":0.018938822964718948,"score_gpt":0.26962203789306793,"score_spread":0.250683214928349,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044534274","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980301,0.000060801278,0.00010426469,0.000017309681,0.000002161764,0.000013882482,0.0005980378,0.000019528226,0.0011539294],"genre_scores_gemma":[0.9956944,0.000049437174,0.0001753755,0.000022846889,0.000005653076,0.000015782998,0.001445737,0.0000063684292,0.002584284],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99940324,0.0000628329,0.00005408575,0.000098880395,0.00027229957,0.00010856407],"domain_scores_gemma":[0.9974107,0.00038624633,0.00066068216,0.00021107087,0.0011153223,0.00021594217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001324123,0.00039187734,0.00033513442,0.0014284322,0.0012442695,0.0006749684,0.00034277936,0.00056797196,0.0029407034],"category_scores_gemma":[0.0013068022,0.00011926149,0.00045841624,0.000882157,0.00029020457,0.0006876159,0.00050679245,0.00036349182,0.0010866693],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032437914,0.0020200117,0.8815392,0.00017352666,0.00023810045,0.002128631,0.0018874164,0.0041081263,0.0399733,0.00019074885,0.001196414,0.06330074],"study_design_scores_gemma":[0.000048375765,0.011041598,0.9151263,0.00003706411,0.00034344356,0.0013477261,0.003625179,0.0021183235,0.059795033,0.00018664957,0.006265393,0.000064911714],"about_ca_topic_score_codex":0.006890297,"about_ca_topic_score_gemma":0.012186967,"teacher_disagreement_score":0.006890297,"about_ca_system_score_codex":0.0008572416,"about_ca_system_score_gemma":0.0004738008,"threshold_uncertainty_score":0.013700366},"labels":[],"label_agreement":null},{"id":"W2044954426","doi":"10.1190/1.1845219","title":"Time‐lapse impedance inversion using hybrid data transformation and the spike deconvolution method","year":2004,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Deconvolution; Spike (software development); Inversion (geology); Computer science; Electrical impedance; Blind deconvolution; Transformation (genetics); Algorithm; Artificial intelligence; Electronic engineering; Geology; Electrical engineering; Engineering","score_opus":0.02683786409701449,"score_gpt":0.29087484619776827,"score_spread":0.26403698210075377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044954426","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030689975,0.000021081112,0.96792233,0.000029191513,0.000009970899,0.000021086784,0.00008423002,0.00066351466,0.00055868743],"genre_scores_gemma":[0.17846124,0.000064817,0.81955224,0.000020573878,0.000011018286,0.00008258775,0.00040803352,0.000118336015,0.0012811323],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985373,0.000022036545,0.000008199943,0.000021517408,0.00008167839,0.000012789583],"domain_scores_gemma":[0.99971455,0.00010482393,0.000026567564,0.00005497907,0.000086084656,0.000013002009],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032776705,0.0004121566,0.00040831548,0.000568185,0.00016837653,0.00045801568,0.0004991117,0.00041891387,0.001047916],"category_scores_gemma":[0.0008100391,0.00020377155,0.00046821756,0.00080359797,0.00028695446,0.00065417826,0.0006089415,0.00061897706,0.00036551597],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034490836,0.0001601176,0.0027712225,0.00017518157,0.000115682975,0.0001953127,0.00020192949,0.1748444,0.34578177,0.01686897,0.0014217034,0.45711884],"study_design_scores_gemma":[0.00001860705,0.000047078327,0.0010616046,0.0000028707996,0.000008683304,0.00010412937,0.000019522648,0.9485304,0.046530686,0.0020427606,0.0016144323,0.000019306763],"about_ca_topic_score_codex":0.0015283347,"about_ca_topic_score_gemma":0.0020601598,"teacher_disagreement_score":0.0015283347,"about_ca_system_score_codex":0.0001919806,"about_ca_system_score_gemma":0.00047728437,"threshold_uncertainty_score":0.0035055876},"labels":[],"label_agreement":null},{"id":"W2045486079","doi":"10.1144/sp384.12","title":"Ground penetrating radar use in three contrasting soil textures in southern Ontario","year":2013,"lang":"en","type":"article","venue":"Geological Society London Special Publications","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Trent University; Ontario Tech University","funders":"","keywords":"Ground-penetrating radar; Geology; Radar; Remote sensing; Engineering","score_opus":0.02856904404621327,"score_gpt":0.23050994366488906,"score_spread":0.20194089961867578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045486079","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989819,0.00003057827,0.00007419703,0.000009195238,6.971382e-7,0.000010297314,0.00010210307,0.000002325355,0.0007887165],"genre_scores_gemma":[0.9982988,0.000054610722,0.00025373042,0.000008780994,4.848533e-7,0.0000049891605,0.00013970521,0.0000014533471,0.0012374069],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999835,0.000012562901,0.0000072330186,0.00004230451,0.00005353583,0.000049349255],"domain_scores_gemma":[0.99969864,0.000030292807,0.00007481827,0.0000142177905,0.00012834938,0.000053741056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017053861,0.00022250354,0.0001658135,0.0009380749,0.0013109285,0.00063305907,0.00028373345,0.00018348428,0.0007303095],"category_scores_gemma":[0.00053815794,0.00021053349,0.000116931165,0.0012047155,0.00064511044,0.00015508615,0.0004404975,0.00011455938,0.00013181064],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004607434,0.00004754828,0.92554414,0.000085158725,0.000036570502,0.0020613978,0.014909215,0.00040751987,0.0358396,0.00014269566,0.00024224764,0.020223096],"study_design_scores_gemma":[0.000004095382,0.000058233018,0.9919972,0.000009360041,0.000011438342,0.00026246667,0.0052758753,0.00025531254,0.0010922186,0.000021056718,0.0010067137,0.0000061186165],"about_ca_topic_score_codex":0.89709646,"about_ca_topic_score_gemma":0.981368,"teacher_disagreement_score":0.102903545,"about_ca_system_score_codex":0.00459411,"about_ca_system_score_gemma":0.0034631353,"threshold_uncertainty_score":0.20701909},"labels":[],"label_agreement":null},{"id":"W2045926009","doi":"10.1190/1.2435171","title":"Correlation between near-surface electromagnetic soil parameters and early-time GPR signals: An experimental study","year":2007,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"StemSoft Software (Canada)","funders":"","keywords":"Ground-penetrating radar; Reflectometry; Subsoil; Time domain; Radar; Amplitude; Geology; Envelope (radar); Permittivity; Soil science; Acoustics; Remote sensing; Geophysics; Materials science; Computer science; Physics; Soil water; Optics; Telecommunications; Dielectric","score_opus":0.014267181509849042,"score_gpt":0.263520592216605,"score_spread":0.24925341070675597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045926009","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980367,0.000016605412,0.0017721655,0.0000049059063,0.0000035481187,0.000011765279,0.00004856968,0.000009499542,0.000096245676],"genre_scores_gemma":[0.9975674,0.00003517538,0.0019458975,0.000013042724,0.000005998077,0.000029210903,0.0001147744,0.000006575936,0.00028206172],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9996189,0.000121023666,0.000025550233,0.00009315072,0.00007498159,0.00006645199],"domain_scores_gemma":[0.9988226,0.0005453016,0.00017774277,0.00021458197,0.0001705582,0.00006917803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006069156,0.00028905226,0.00026519262,0.00018695663,0.00017335544,0.0002484271,0.0002410493,0.0004028353,0.001148831],"category_scores_gemma":[0.0013339886,0.00015199317,0.00016486787,0.00015959583,0.0005225719,0.00033517976,0.00027980626,0.00036050292,0.00022858643],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021237081,0.0025864786,0.012223271,0.000079418955,0.00004136982,0.00019651678,0.00017130317,0.0013125716,0.9727304,0.00014973637,0.000107228945,0.008278025],"study_design_scores_gemma":[0.00021910932,0.034244567,0.09756079,0.000017104305,0.0001484819,0.0011673962,0.00041058497,0.020172257,0.84467494,0.00027493475,0.0010352414,0.0000745268],"about_ca_topic_score_codex":0.00027669713,"about_ca_topic_score_gemma":0.00025835718,"teacher_disagreement_score":0.001148831,"about_ca_system_score_codex":0.00009270482,"about_ca_system_score_gemma":0.00008577918,"threshold_uncertainty_score":0.0038431883},"labels":[],"label_agreement":null},{"id":"W2046043341","doi":"10.1139/p02-125","title":"Dielectric characterization of coals","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Physics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Characterization (materials science); Reflectometry; Dielectric; Physics; Permittivity; Dispersion (optics); Coal; Carbon fibers; Relaxation (psychology); Range (aeronautics); Elemental analysis; Hydrogen; Computational physics; Time domain; Analytical Chemistry (journal); Optics; Composite material; Materials science; Optoelectronics; Environmental chemistry; Chemistry; Composite number","score_opus":0.011827678986109704,"score_gpt":0.21040929780596715,"score_spread":0.19858161881985745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046043341","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9483601,0.0008448175,0.043890234,0.0001249178,0.000046255795,0.000027015962,0.00040944523,0.00014168899,0.0061555523],"genre_scores_gemma":[0.986193,0.0004481391,0.009936386,0.000031867577,0.00001436058,0.000007836664,0.0002924923,0.000024068768,0.0030519203],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998555,0.000012865992,0.000006596824,0.000030989675,0.00007965386,0.00001444285],"domain_scores_gemma":[0.99977356,0.000039148475,0.000034268698,0.000022645107,0.00010897791,0.000021418029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023110682,0.00018562567,0.00015706365,0.00087723753,0.00032029767,0.00025432752,0.00022906576,0.00016121066,0.0013049777],"category_scores_gemma":[0.00055737037,0.000084513784,0.00011940019,0.00042902806,0.00018369926,0.00033842275,0.00018499118,0.00023091809,0.00029394537],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011332203,0.0000309298,0.0024253374,0.00007372676,0.0000062164695,0.00012955167,0.00006181168,0.0008852351,0.9780913,0.00071381324,0.00014061213,0.017328186],"study_design_scores_gemma":[0.00000806944,0.00023748016,0.01699222,0.000011649108,0.00001630675,0.0011283751,0.00018734612,0.010779627,0.9639717,0.00076939096,0.005880985,0.000016876029],"about_ca_topic_score_codex":0.000484725,"about_ca_topic_score_gemma":0.00048816673,"teacher_disagreement_score":0.0013049777,"about_ca_system_score_codex":0.00016138631,"about_ca_system_score_gemma":0.0001625049,"threshold_uncertainty_score":0.004365623},"labels":[],"label_agreement":null},{"id":"W2046048816","doi":"10.1016/j.conbuildmat.2012.09.003","title":"Evaluation of damage to bridge piers using pulse velocity tomography","year":2012,"lang":"en","type":"article","venue":"Construction and Building Materials","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Bridge (graph theory); Pier; Tomography; Materials science; Structural engineering; Pulse (music); Forensic engineering; Composite material; Engineering; Physics; Optics; Medicine; Electrical engineering; Internal medicine","score_opus":0.052391182030812625,"score_gpt":0.321441179500734,"score_spread":0.26904999746992136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046048816","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9552614,0.00012623923,0.04275184,0.00004817889,0.000012910707,0.000040984934,0.000111784066,0.00015278954,0.0014939244],"genre_scores_gemma":[0.9942514,0.00007609634,0.0052104183,0.000006044075,0.000002869144,0.0000066781777,0.000059324,0.000008657679,0.0003786978],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996136,0.000071522176,0.000015618893,0.00004096119,0.00020101787,0.00005728375],"domain_scores_gemma":[0.9989077,0.00044426255,0.00015462766,0.00011746301,0.00029816863,0.00007774856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063277973,0.00045899296,0.00035535288,0.0014881933,0.00028702588,0.0005077445,0.00045460055,0.0009566288,0.00083659],"category_scores_gemma":[0.0023118816,0.00032799022,0.00022877393,0.0007990143,0.000523159,0.0010133494,0.00051325915,0.00039112422,0.00017086284],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016026091,0.0007244919,0.19343841,0.00030490977,0.00012683103,0.0012622054,0.0009812952,0.23370653,0.39039138,0.0024083033,0.00076036307,0.17429264],"study_design_scores_gemma":[0.000029167812,0.0010028522,0.17522167,0.000040636976,0.000083446175,0.0008513551,0.00057341985,0.7252116,0.09533868,0.0008977244,0.0006982866,0.00005108518],"about_ca_topic_score_codex":0.0015562826,"about_ca_topic_score_gemma":0.0023423133,"teacher_disagreement_score":0.0015562826,"about_ca_system_score_codex":0.0003994935,"about_ca_system_score_gemma":0.00042821848,"threshold_uncertainty_score":0.0033465028},"labels":[],"label_agreement":null},{"id":"W2046444517","doi":"10.1117/12.462279","title":"&lt;title&gt;3D radar response of a karstic zone&lt;/title&gt;","year":2002,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Borehole; Ground-penetrating radar; Geology; Karst; Radar; Gypsum; Remote sensing; Mining engineering; Geotechnical engineering; Geomorphology; Computer science; Telecommunications; Paleontology","score_opus":0.013275027418470777,"score_gpt":0.22890046551246987,"score_spread":0.2156254380939991,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046444517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78517914,0.0005871436,0.107840806,0.0011252325,0.0007896874,0.00010759302,0.012746609,0.006570537,0.08505325],"genre_scores_gemma":[0.95002407,0.00027441498,0.022674145,0.00013688188,0.000047437883,0.000025030069,0.0050476715,0.00050269417,0.021267688],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999585,0.0000041332055,0.0000015323125,0.000007884063,0.00002090387,0.000007103724],"domain_scores_gemma":[0.9999155,0.000027100627,0.000007586853,0.000015145838,0.000020643845,0.000014026219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000079765225,0.00018420492,0.00021975549,0.00021736279,0.00010698526,0.0002722457,0.00020561964,0.0002566066,0.01764601],"category_scores_gemma":[0.0001928607,0.00008285999,0.00015725622,0.00026629324,0.0001341396,0.00017248602,0.00016821158,0.00016428881,0.0027929195],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009221989,0.00016964154,0.01202129,0.00031359785,0.000050200055,0.002229093,0.0003103874,0.1715529,0.5677628,0.0055400943,0.096556716,0.14257106],"study_design_scores_gemma":[0.00006834373,0.00023471002,0.04714659,0.00003331859,0.000025779906,0.0009602336,0.00020093088,0.7574651,0.14314698,0.0025801647,0.048040677,0.000097143435],"about_ca_topic_score_codex":0.0013598476,"about_ca_topic_score_gemma":0.0025280134,"teacher_disagreement_score":0.01764601,"about_ca_system_score_codex":0.00016923832,"about_ca_system_score_gemma":0.00011261983,"threshold_uncertainty_score":0.059031785},"labels":[],"label_agreement":null},{"id":"W2047074052","doi":"10.1117/12.396246","title":"Geometrical and optical calibration of a vehicle-mounted IR imager for land mine localization","year":2000,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Sensor fusion; Calibration; Computer vision; Remote sensing; Computer science; Artificial intelligence; Image sensor; Coordinate system; Optical imaging; Fusion; Geology; Optics; Physics","score_opus":0.009431530887975553,"score_gpt":0.23790400685956253,"score_spread":0.22847247597158699,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047074052","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.159428,0.00039268477,0.79875296,0.0005476954,0.000352395,0.00021206556,0.00071023,0.0056453496,0.033958636],"genre_scores_gemma":[0.68815106,0.00021565909,0.30452874,0.00011765282,0.000050922514,0.00007748319,0.0007149304,0.00031870676,0.005824862],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990982,0.00012740155,0.000023391596,0.0001782133,0.0005231655,0.00004962709],"domain_scores_gemma":[0.99926907,0.000054070133,0.000068097375,0.00022230385,0.00035922375,0.000027145992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000624664,0.0005788256,0.00028640535,0.0007180907,0.00039076232,0.0005906105,0.0010133325,0.00072477915,0.0029644943],"category_scores_gemma":[0.0018149413,0.00029656297,0.00026876788,0.00065666845,0.00035432843,0.0006469452,0.0005635899,0.000623706,0.003451094],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041797556,0.00019886288,0.008996625,0.00022929134,0.000055695855,0.00040745415,0.00046856553,0.060728937,0.5847959,0.0095310155,0.008931446,0.32523826],"study_design_scores_gemma":[0.00006521192,0.00075645745,0.03513155,0.000056017478,0.00011756115,0.0021884646,0.00030168617,0.31315562,0.58622074,0.0024203544,0.059400644,0.00018572116],"about_ca_topic_score_codex":0.0013769135,"about_ca_topic_score_gemma":0.0020477616,"teacher_disagreement_score":0.0029644943,"about_ca_system_score_codex":0.00047379878,"about_ca_system_score_gemma":0.0006577665,"threshold_uncertainty_score":0.0099172},"labels":[],"label_agreement":null},{"id":"W2047384701","doi":"10.1117/12.542905","title":"Transport of explosives I: TNT in soil and its equilibrium vapor","year":2004,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Explosive material; Environmental science; Explosive detection; Soil test; Materials science; Mass spectrometry; Environmental chemistry; Analytical Chemistry (journal); Soil water; Soil science; Chromatography; Chemistry","score_opus":0.014389499201027544,"score_gpt":0.23524773972430585,"score_spread":0.2208582405232783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047384701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98044807,0.0026514125,0.011318191,0.000097442055,0.000028211352,0.00006918156,0.0014862512,0.00009366739,0.0038076125],"genre_scores_gemma":[0.988111,0.0020874983,0.0042074,0.00003535739,0.000012825117,0.000037901627,0.0011456041,0.000024907227,0.004337438],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998282,0.000011970067,0.000008949183,0.00007651733,0.00004864401,0.000025742242],"domain_scores_gemma":[0.99994504,0.000014737459,0.0000120822615,0.0000031491422,0.000020023552,0.0000050121603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000105085295,0.0003292632,0.00016499085,0.0003122923,0.00033419256,0.00045649038,0.00038410493,0.00033410688,0.0014036515],"category_scores_gemma":[0.00021750668,0.00013926908,0.00016928335,0.0003151985,0.00026600395,0.00053657626,0.00019929484,0.0003205515,0.00030560666],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000118353404,0.00003123746,0.005033717,0.00019087768,0.000012646462,0.00016906745,0.00008595658,0.00040996916,0.98597383,0.00026223515,0.00010480811,0.007607216],"study_design_scores_gemma":[0.000008154842,0.00033582633,0.01382292,0.000028282122,0.000021913898,0.0003793933,0.00019400193,0.0030640343,0.97791004,0.00024118616,0.003983629,0.000010669994],"about_ca_topic_score_codex":0.009394423,"about_ca_topic_score_gemma":0.008376876,"teacher_disagreement_score":0.009394423,"about_ca_system_score_codex":0.0007337417,"about_ca_system_score_gemma":0.00041318333,"threshold_uncertainty_score":0.0186795},"labels":[],"label_agreement":null},{"id":"W2047693113","doi":"10.1111/j.1752-1688.2008.00264.x","title":"A Comparative Study of Stream‐Gaging Techniques for Low‐Flow Measurements in Two Virginia Tributaries<sup>1</sup>","year":2009,"lang":"en","type":"article","venue":"JAWRA Journal of the American Water Resources Association","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nickel Institute","funders":"U.S. Geological Survey; Virginia Department of Environmental Quality","keywords":"Tributary; Current (fluid); Current meter; STREAMS; Nonpoint source pollution; Hydrology (agriculture); Environmental science; Marsh; Acoustic Doppler current profiler; Pollution; Flow measurement; Computer science; Engineering; Geology; Wetland; Ecology; Geography; Geotechnical engineering","score_opus":0.01948565424317347,"score_gpt":0.30653557400277615,"score_spread":0.2870499197596027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047693113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.982676,0.000255329,0.01447939,0.00006703836,0.000026971013,0.00018791264,0.00023783874,0.00016103107,0.0019084227],"genre_scores_gemma":[0.9646832,0.00025062906,0.03320437,0.000050277242,0.000012579815,0.00013023686,0.00033276944,0.000029996927,0.0013060116],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99888176,0.00020011715,0.00006170462,0.0002110639,0.0005694518,0.000076005104],"domain_scores_gemma":[0.9965329,0.0008546094,0.00035701948,0.00013147936,0.0020095154,0.00011449082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013916933,0.00030962538,0.00023632028,0.0010338775,0.00078509003,0.00077475584,0.0006424209,0.00048509872,0.0006091264],"category_scores_gemma":[0.0037391572,0.00018600289,0.0001651722,0.0011021385,0.00036476215,0.0003525818,0.00029838143,0.00030625594,0.00032778582],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00074213394,0.00089479267,0.5071058,0.00035462866,0.00012917981,0.0003827366,0.0027831804,0.0019522032,0.23563601,0.0004845669,0.0009771256,0.24855758],"study_design_scores_gemma":[0.000045644294,0.0017871342,0.7783975,0.00006761975,0.00016704143,0.0007421625,0.001927299,0.015429537,0.1903375,0.00018028272,0.010858415,0.000059817183],"about_ca_topic_score_codex":0.025457688,"about_ca_topic_score_gemma":0.0776442,"teacher_disagreement_score":0.025457688,"about_ca_system_score_codex":0.0009200602,"about_ca_system_score_gemma":0.0013036521,"threshold_uncertainty_score":0.050619006},"labels":[],"label_agreement":null},{"id":"W2048348965","doi":"10.1190/1.1816634","title":"Single‐well imaging using the full waveform of an acoustic sonic","year":2001,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Waveform; Acoustics; Optoacoustic imaging; Computer science; Geology; Telecommunications; Physics","score_opus":0.02138925765633785,"score_gpt":0.2659426987349126,"score_spread":0.24455344107857477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048348965","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30258298,0.0027046737,0.43694293,0.0028047434,0.001578751,0.00036919216,0.013093599,0.015502223,0.22442089],"genre_scores_gemma":[0.534281,0.0023740316,0.31737524,0.00059512665,0.00021898038,0.0003433568,0.010386599,0.0016070381,0.13281862],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99960726,0.000021100648,0.000020453946,0.00009080796,0.00021491609,0.000045414436],"domain_scores_gemma":[0.99956053,0.000042867898,0.000034292778,0.00007395396,0.00023239432,0.000055926914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041377026,0.00042360905,0.00033518934,0.0010941562,0.00033507112,0.0010898375,0.0006244798,0.00065424194,0.017434796],"category_scores_gemma":[0.00042355433,0.00043839417,0.00037744734,0.0005983088,0.00021422513,0.0011498092,0.00080581673,0.00068614364,0.007619007],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002466098,0.00007389663,0.0016933054,0.00016622746,0.000029159404,0.00018695873,0.00015279777,0.0018899954,0.85697246,0.0030301763,0.029818594,0.10573984],"study_design_scores_gemma":[0.00006993537,0.00032669256,0.01833941,0.000089083995,0.00007808978,0.0005208277,0.00042468848,0.038991235,0.80852735,0.0026055062,0.12984839,0.0001787341],"about_ca_topic_score_codex":0.0020451536,"about_ca_topic_score_gemma":0.0057249707,"teacher_disagreement_score":0.017434796,"about_ca_system_score_codex":0.0006895074,"about_ca_system_score_gemma":0.00085263944,"threshold_uncertainty_score":0.05832523},"labels":[],"label_agreement":null},{"id":"W2049562293","doi":"10.1520/gtj102561","title":"Interpretation of Resistivity Piezocone Tests in a Contaminated Municipal Solid Waste Disposal Site","year":2010,"lang":"en","type":"article","venue":"Geotechnical Testing Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Municipal solid waste; Geotechnical engineering; Contamination; Geology; Interpretation (philosophy); Waste disposal; Waste management; Environmental science; Mining engineering; Engineering","score_opus":0.017019493686095725,"score_gpt":0.2894687804372954,"score_spread":0.27244928675119967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049562293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989059,0.000018762456,0.00067094195,0.000009645391,9.537935e-7,0.0000064575156,0.00006630612,0.000017700624,0.0003034464],"genre_scores_gemma":[0.9993292,0.000014892889,0.0005292562,0.0000038322078,3.6540632e-7,0.0000026315179,0.00003312127,0.0000016385875,0.00008511224],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997054,0.00006764388,0.000028684266,0.000040284256,0.00013316792,0.000024882731],"domain_scores_gemma":[0.9995333,0.00013776611,0.00012977868,0.00004646851,0.00012793479,0.0000247046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029316873,0.00023228738,0.00023742263,0.0008190009,0.00024225084,0.00030011896,0.00021565931,0.0002870642,0.00030123032],"category_scores_gemma":[0.00075695524,0.00015611299,0.00013521874,0.00069422903,0.00033310027,0.00011920463,0.00028483657,0.00011947217,0.00009706485],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042574803,0.00007921329,0.42040423,0.00014140284,0.000032180375,0.0029825629,0.0023055538,0.001760073,0.54583865,0.00013108604,0.00009590826,0.025803389],"study_design_scores_gemma":[0.00001990291,0.0005002167,0.81299233,0.0000337294,0.00005826062,0.0022066617,0.0022254754,0.00581648,0.1750257,0.00019570468,0.00089949486,0.00002597587],"about_ca_topic_score_codex":0.0036917971,"about_ca_topic_score_gemma":0.007814347,"teacher_disagreement_score":0.0036917971,"about_ca_system_score_codex":0.00017651811,"about_ca_system_score_gemma":0.00017193543,"threshold_uncertainty_score":0.00734061},"labels":[],"label_agreement":null},{"id":"W2049677455","doi":"10.1016/s0926-9851(01)00046-5","title":"Massive sulphide delineation using borehole radar: tests at the McConnell nickel deposit, Sudbury, Ontario","year":2001,"lang":"en","type":"article","venue":"Journal of Applied Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Atomic Energy of Canada Limited","keywords":"Borehole; Geology; Ground-penetrating radar; Radar; Mineralogy; Intersection (aeronautics); Seismology; Geochemistry; Paleontology","score_opus":0.018413259581587422,"score_gpt":0.24365575438481255,"score_spread":0.2252424948032251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049677455","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958171,0.000028813914,0.0007309803,0.000054305394,0.0000031800048,0.0000453524,0.00030168815,0.00007597836,0.002942588],"genre_scores_gemma":[0.99554116,0.000046572484,0.002332673,0.000018337738,0.0000022439503,0.0000134966385,0.00025043177,0.00001217665,0.0017829416],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99966645,0.000025051431,0.000016923026,0.00007451275,0.00015987392,0.00005712017],"domain_scores_gemma":[0.9992568,0.00014062162,0.00007491556,0.000046378318,0.00037207612,0.00010914378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004562191,0.00027844956,0.00026919876,0.000614563,0.002051954,0.0008428383,0.00080853305,0.00041863823,0.0012859679],"category_scores_gemma":[0.001389841,0.00027970306,0.00016982932,0.00071886956,0.0006727733,0.0005313757,0.0005724563,0.00030916816,0.00027416096],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00460054,0.00088728435,0.6447414,0.00026381528,0.00013483081,0.0027463888,0.012183401,0.029744038,0.18586014,0.0015731594,0.004088778,0.11317619],"study_design_scores_gemma":[0.0002488128,0.00044923023,0.93512124,0.00002993028,0.00007151125,0.00031450173,0.003792702,0.029604234,0.02576363,0.0002388209,0.0043140026,0.000051368595],"about_ca_topic_score_codex":0.866567,"about_ca_topic_score_gemma":0.9680235,"teacher_disagreement_score":0.13343298,"about_ca_system_score_codex":0.0031227355,"about_ca_system_score_gemma":0.0039953585,"threshold_uncertainty_score":0.26843756},"labels":[],"label_agreement":null},{"id":"W2049687667","doi":"10.1111/j.1365-3091.2008.00984.x","title":"Facies and ground‐penetrating radar characteristics of coarse‐grained beach deposits of the uppermost Pleistocene glacial Lake Algonquin, Ontario, Canada","year":2008,"lang":"en","type":"article","venue":"Sedimentology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo; University of Guelph","funders":"University of Waterloo","keywords":"Geology; Pleistocene; Sedimentary depositional environment; Glacial period; Swash; Paleontology; Fluvial; Sedimentology; Sedimentary rock; Geomorphology; Facies; Structural basin","score_opus":0.01089346757048408,"score_gpt":0.20274805783298333,"score_spread":0.19185459026249924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049687667","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946307,0.00030178195,0.000088224486,0.000048534832,0.0000033118542,0.000010240921,0.0019447862,0.000016743687,0.002955652],"genre_scores_gemma":[0.995468,0.00018829686,0.00018496752,0.000019526473,0.0000020034652,0.000006176342,0.0011419072,0.000007669155,0.0029813952],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999897,0.000003856745,0.0000055588425,0.000022494127,0.00003525702,0.000035706624],"domain_scores_gemma":[0.99962616,0.0000199156,0.000050435243,0.000010270344,0.00022800632,0.00006524005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010081143,0.00020310564,0.00015262813,0.0010943214,0.0013418614,0.00078893546,0.00030980518,0.00014674004,0.0024528378],"category_scores_gemma":[0.00032804903,0.00018151828,0.0001170464,0.0017233766,0.00041386767,0.00014852686,0.00028799268,0.00011064103,0.00027496854],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000102840364,0.000012138599,0.97522414,0.0000686055,0.00003782993,0.00028450837,0.0025477896,0.00028740507,0.0057024662,0.000117016156,0.0012801399,0.014335234],"study_design_scores_gemma":[0.0000018063198,0.0000028064637,0.99855655,0.0000058044734,0.0000033921508,0.000021635553,0.00044555232,0.00008270195,0.000068115754,0.0000048308834,0.0008047528,0.0000019269294],"about_ca_topic_score_codex":0.9751047,"about_ca_topic_score_gemma":0.99466056,"teacher_disagreement_score":0.02489531,"about_ca_system_score_codex":0.00665026,"about_ca_system_score_gemma":0.0037527226,"threshold_uncertainty_score":0.050083816},"labels":[],"label_agreement":null},{"id":"W2049841383","doi":"10.1121/1.4744003","title":"Acoustic landmine detection at 40° below zero","year":2001,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Coupling (piping); Wavelength; Geology; Acoustics; Work (physics); Snow; Longitudinal wave; Seismology; Environmental science; Materials science; Physics; Wave propagation; Optics; Geomorphology","score_opus":0.010695791517210163,"score_gpt":0.2442041682173736,"score_spread":0.23350837670016342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049841383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99588364,0.000034431025,0.0009495838,0.000021085478,0.000005280325,0.0000042764723,0.000065027605,0.00005305121,0.0029835915],"genre_scores_gemma":[0.99832445,0.000020816658,0.00033983623,0.000016897358,0.0000021105618,0.0000033298616,0.000091417634,0.0000065472796,0.0011945391],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999864,0.0000090527255,0.0000019519277,0.000023970335,0.000048468348,0.000052599098],"domain_scores_gemma":[0.9998566,0.00002870007,0.000017394395,0.000008550753,0.00004327502,0.00004545545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011413479,0.00013589839,0.00017395832,0.0002986265,0.00020513439,0.00024388121,0.0001928482,0.00025151056,0.0027147129],"category_scores_gemma":[0.0004131619,0.00011609401,0.000072400006,0.000213203,0.00021630057,0.00016312495,0.00031102952,0.00025409946,0.0004201098],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00096519047,0.00007858812,0.038076125,0.00003617224,0.000014456352,0.00053346634,0.0006164639,0.0006910968,0.9465627,0.00038331872,0.00032615493,0.011716243],"study_design_scores_gemma":[0.000096106436,0.0013059648,0.65774155,0.000057796242,0.000055878245,0.0013918286,0.0012209885,0.008860071,0.32362282,0.00069618545,0.0049002063,0.000050561433],"about_ca_topic_score_codex":0.0041734753,"about_ca_topic_score_gemma":0.0067072017,"teacher_disagreement_score":0.0041734753,"about_ca_system_score_codex":0.0002540711,"about_ca_system_score_gemma":0.00024075693,"threshold_uncertainty_score":0.009081662},"labels":[],"label_agreement":null},{"id":"W2050306820","doi":"10.1016/j.coldregions.2013.10.003","title":"Comment on “The application of CCR and GPR to characterize ice conditions at Parsons Lake, Northwest Territories” by Angelopoulos et al.","year":2013,"lang":"en","type":"article","venue":"Cold Regions Science and Technology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Permafrost; Context (archaeology); Geology; Ground-penetrating radar; Measure (data warehouse); Inversion (geology); Characterization (materials science); Geophysics; Computer science; Geotechnical engineering; Geomorphology; Physics; Data mining; Radar; Paleontology; Oceanography; Optics; Telecommunications","score_opus":0.013084658085061686,"score_gpt":0.24979388464008465,"score_spread":0.23670922655502297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050306820","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006076239,0.0008402737,0.0003766729,0.96077985,0.034651205,0.000038609447,0.00030671761,0.000101984995,0.0022971202],"genre_scores_gemma":[0.001934941,0.0003721653,0.00024846062,0.9819582,0.012419951,0.000055056855,0.00004873531,0.00002160565,0.002940705],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99432915,0.00073144474,0.000959676,0.0010808203,0.0021612425,0.0007377776],"domain_scores_gemma":[0.97651994,0.012546167,0.0015441166,0.00071092084,0.00735458,0.0013243301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0068451455,0.0011439143,0.0012063105,0.001082277,0.0052070604,0.0030046615,0.003817356,0.06122205,0.0055034095],"category_scores_gemma":[0.03622576,0.0010938086,0.0020475832,0.0011545423,0.0047608744,0.0034279453,0.0024933182,0.044084735,0.008204931],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056519388,0.000015269283,0.00056953874,0.00007735421,0.000015029143,0.00040756995,0.00019268662,0.00007785259,0.0003218749,0.0013557605,0.9941549,0.0027556336],"study_design_scores_gemma":[0.00009954223,0.00006982769,0.0037108737,0.00038923163,0.00005622881,0.00071568094,0.00097282534,0.00033737608,0.0013814701,0.004420506,0.9877251,0.00012124661],"about_ca_topic_score_codex":0.042299397,"about_ca_topic_score_gemma":0.043089326,"teacher_disagreement_score":0.9577006,"about_ca_system_score_codex":0.0037189517,"about_ca_system_score_gemma":0.0074086995,"threshold_uncertainty_score":0.084106386},"labels":[],"label_agreement":null},{"id":"W2051126222","doi":"10.1016/j.jappgeo.2005.01.001","title":"Borehole radar velocity inversion using cokriging and cosimulation","year":2005,"lang":"en","type":"article","venue":"Journal of Applied Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Polytechnique Montréal","keywords":"Slowness; Covariance; Borehole; Inversion (geology); Ground-penetrating radar; A priori and a posteriori; Algorithm; Geology; Radar; Computer science; Mathematics; Seismology; Statistics; Geotechnical engineering","score_opus":0.01393949255827778,"score_gpt":0.24429515727962592,"score_spread":0.23035566472134814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051126222","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19568862,0.00016242464,0.7997121,0.00011722974,0.00010804347,0.00003839461,0.0002551339,0.001947951,0.001970117],"genre_scores_gemma":[0.75572836,0.0001541609,0.24185811,0.000031732783,0.000028749882,0.00005000988,0.0005565919,0.00017041256,0.001421865],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998048,0.00004274462,0.000013764847,0.00004181397,0.000063826345,0.000033054304],"domain_scores_gemma":[0.99956995,0.00012839309,0.00004907952,0.000085706146,0.00014762825,0.0000191844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002719054,0.00076873816,0.00062663987,0.0006732136,0.00036873424,0.0005564486,0.00047736653,0.00052213774,0.00090709626],"category_scores_gemma":[0.0014375233,0.0005361118,0.00051266846,0.0009840295,0.00025389265,0.0011194887,0.00053113943,0.00072625425,0.00049031444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033324325,0.00021178633,0.004728078,0.000105623614,0.00014253064,0.00009844903,0.00012749952,0.73972857,0.033323452,0.0039092638,0.0015429695,0.21574849],"study_design_scores_gemma":[0.000025587926,0.0000375084,0.0012204162,0.000003687394,0.000017115795,0.00002844951,0.000015116369,0.99090075,0.006460396,0.0005654908,0.00070985546,0.00001560035],"about_ca_topic_score_codex":0.02159115,"about_ca_topic_score_gemma":0.028236309,"teacher_disagreement_score":0.02159115,"about_ca_system_score_codex":0.0003026189,"about_ca_system_score_gemma":0.0017282638,"threshold_uncertainty_score":0.04293096},"labels":[],"label_agreement":null},{"id":"W2051505900","doi":"10.1190/1.3447780","title":"Introduction to this special section: Borehole geophysics","year":2010,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"ARC Resources (Canada)","funders":"","keywords":"Coring; Borehole; Geology; Vertical seismic profile; Geophysics; Well logging; Profiling (computer programming); Geophysical prospecting; Seismology; Petroleum engineering; Geotechnical engineering; Drilling; Engineering; Computer science","score_opus":0.010768492489474627,"score_gpt":0.24724589402146827,"score_spread":0.23647740153199365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051505900","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00076035055,0.05088678,0.017043304,0.037688393,0.75290257,0.0002695684,0.0012250433,0.0012011942,0.13802278],"genre_scores_gemma":[0.00420207,0.077287406,0.007251866,0.030471357,0.57385814,0.00020381658,0.0019393873,0.0011979286,0.303588],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992514,0.00011303148,0.00008709193,0.00018010105,0.00030701124,0.00006133681],"domain_scores_gemma":[0.99611783,0.0011026812,0.00021930446,0.0002926764,0.0015706627,0.0006968351],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014309203,0.0019269887,0.0013945843,0.0032317087,0.001541512,0.003724296,0.0014280718,0.0028608444,0.08870553],"category_scores_gemma":[0.004101857,0.00044678405,0.0009430741,0.0019761473,0.0010916039,0.004305342,0.0021774792,0.005162718,0.0839534],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013353541,0.000025966476,0.00021115762,0.00019867434,0.0000040306422,0.00008212403,0.000030780222,0.00012490088,0.00039368577,0.0040636635,0.9480724,0.04677942],"study_design_scores_gemma":[0.0000016276482,0.00001614425,0.000260255,0.000119246535,0.0000021732744,0.0001882176,0.000022472717,0.000074799274,0.000052401145,0.0019006748,0.99735665,0.00000532581],"about_ca_topic_score_codex":0.0014099845,"about_ca_topic_score_gemma":0.0027735862,"teacher_disagreement_score":0.08870553,"about_ca_system_score_codex":0.0009477526,"about_ca_system_score_gemma":0.0013644327,"threshold_uncertainty_score":0.2967496},"labels":[],"label_agreement":null},{"id":"W2051987851","doi":"10.1144/gsl.sp.2000.171.01.10","title":"Ground-penetrating radar mapping of Minoan volcanic deposits and the Late Bronze Age palaeotopography, Thera, Greece","year":2000,"lang":"en","type":"article","venue":"Geological Society London Special Publications","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Bronze Age; Volcano; Geology; Ground-penetrating radar; Archaeology; Bronze; Ancient history; Radar; Geography; Seismology; History; Engineering","score_opus":0.014407423795797663,"score_gpt":0.220036391156074,"score_spread":0.20562896736027636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051987851","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99610233,0.00021595835,0.000120802244,0.00002205497,0.0000026853672,0.000009863763,0.00019702839,0.000013554024,0.0033155326],"genre_scores_gemma":[0.9986308,0.000109768946,0.00024236877,0.000008152556,0.0000029886733,0.0000039963434,0.00018513399,0.0000039684596,0.00081279746],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999374,0.000006887102,0.000004753598,0.000021558071,0.000014602399,0.00001472632],"domain_scores_gemma":[0.99994147,0.000010179276,0.000019009267,0.00000756184,0.00001119004,0.000010614248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011642327,0.0002493,0.00014926102,0.001231959,0.00013373194,0.00055059744,0.00018269136,0.0002203419,0.00074864057],"category_scores_gemma":[0.00016334318,0.0001139546,0.00015551869,0.00083922397,0.00029565566,0.00014751515,0.0003624736,0.000095164396,0.00022383171],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022613115,0.000089317065,0.8510415,0.00020528304,0.0001548652,0.00299709,0.0049788984,0.0019019131,0.06364275,0.00075354916,0.0005634801,0.073445275],"study_design_scores_gemma":[0.0000061931146,0.000027066515,0.9965107,0.000010276436,0.00000715953,0.0004115319,0.0006974066,0.00029571366,0.00039753172,0.000033069264,0.0016005876,0.0000027045344],"about_ca_topic_score_codex":0.011691246,"about_ca_topic_score_gemma":0.015595305,"teacher_disagreement_score":0.011691246,"about_ca_system_score_codex":0.00029484718,"about_ca_system_score_gemma":0.00020259483,"threshold_uncertainty_score":0.023246408},"labels":[],"label_agreement":null},{"id":"W2052419605","doi":"10.1139/t07-089","title":"Resistivity measurements as a tool for outlining quick-clay extent and valley-fill stratigraphy: a feasibility study from Buvika, central Norway","year":2008,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Geology; Electrical resistivity tomography; Bedrock; Landslide; Stratigraphy; Geotechnical engineering; Clay minerals; Drainage; Groundwater; Drilling; Electrical resistivity and conductivity; Geotechnical investigation; Geomorphology; Mineralogy; Tectonics","score_opus":0.060495963225389096,"score_gpt":0.28644292685976175,"score_spread":0.22594696363437267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052419605","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974631,0.00010098523,0.0010791525,0.0000220827,0.00000748781,0.00004282819,0.00024893126,0.000015458638,0.0010199702],"genre_scores_gemma":[0.996296,0.0001334999,0.002808073,0.000011501086,0.0000039939036,0.00003150335,0.00026169262,0.0000057517586,0.00044784445],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99958163,0.0000690363,0.0000288014,0.00008502663,0.00015181463,0.00008369309],"domain_scores_gemma":[0.99958175,0.0000846572,0.00005534942,0.000029762114,0.00017620633,0.00007224435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047782835,0.00047325192,0.00030665006,0.0007842313,0.00048692373,0.00078398315,0.00047743245,0.00045507663,0.00039238238],"category_scores_gemma":[0.00075633585,0.00028943116,0.0001933573,0.00094344706,0.0006155531,0.0003468536,0.00044509687,0.00021824498,0.00015936469],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009897533,0.0006895558,0.7093672,0.0002796748,0.00006720631,0.0061835763,0.0077434853,0.005786456,0.19041187,0.00036454352,0.00065673055,0.07745992],"study_design_scores_gemma":[0.00012679498,0.0010282344,0.96858495,0.00007723387,0.00006824236,0.0014979205,0.005248363,0.009079759,0.010158337,0.00017775338,0.003907777,0.000044769375],"about_ca_topic_score_codex":0.14303118,"about_ca_topic_score_gemma":0.27052054,"teacher_disagreement_score":0.14303118,"about_ca_system_score_codex":0.0006812698,"about_ca_system_score_gemma":0.001484593,"threshold_uncertainty_score":0.2843973},"labels":[],"label_agreement":null},{"id":"W2052761246","doi":"10.1016/j.jappgeo.2003.06.012","title":"Use of borehole radar techniques to characterize fractured granitic bedrock at AECL's Underground Research Laboratory","year":2003,"lang":"en","type":"article","venue":"Journal of Applied Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Atomic Energy (Canada)","funders":"Atomic Energy of Canada Limited","keywords":"Borehole; Geology; Reflection (computer programming); Radar; Seismology; Bedrock; Ground-penetrating radar; Fracture (geology); Block (permutation group theory); Mineralogy; Geotechnical engineering; Geomorphology; Geometry; Engineering","score_opus":0.05061692300990936,"score_gpt":0.29744859545775515,"score_spread":0.2468316724478458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052761246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924291,0.00008488111,0.0058003473,0.000037462785,0.00001171266,0.00003415485,0.00021717734,0.00011831037,0.0012668361],"genre_scores_gemma":[0.9905428,0.00006784451,0.008873267,0.00001797157,0.0000046309165,0.000013759006,0.0001339412,0.000009051266,0.00033681645],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99984646,0.000024859104,0.0000116363035,0.000028938339,0.00006289466,0.000025119058],"domain_scores_gemma":[0.99935037,0.00019051127,0.000076925586,0.000053410717,0.00027411888,0.000054633063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039378443,0.00022936014,0.00015909263,0.0011013551,0.00043968405,0.0003455657,0.0004773417,0.00034725456,0.00031633285],"category_scores_gemma":[0.000725779,0.00019952944,0.00009126535,0.00043513151,0.00017837214,0.00042430137,0.00026028394,0.00026708527,0.00012861566],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066803885,0.0007216427,0.34108135,0.00009160825,0.0000503326,0.001058853,0.0013917849,0.0055626146,0.5583871,0.00038325693,0.0008015599,0.089801855],"study_design_scores_gemma":[0.00024673637,0.0019574617,0.77117115,0.00003795831,0.00015863124,0.0025594325,0.0016265634,0.06480914,0.15312731,0.0006757083,0.0035529614,0.00007696744],"about_ca_topic_score_codex":0.0066293646,"about_ca_topic_score_gemma":0.025270969,"teacher_disagreement_score":0.0066293646,"about_ca_system_score_codex":0.0001751607,"about_ca_system_score_gemma":0.00043556743,"threshold_uncertainty_score":0.013181567},"labels":[],"label_agreement":null},{"id":"W2053479914","doi":"10.1109/icgpr.2010.5550223","title":"Crosshole GPR traveltime tomography in elliptically anisotropic media","year":2010,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Vadose zone; Ground-penetrating radar; Anisotropy; Geology; Tomography; Covariance; Synthetic data; Geophysics; Mineralogy; Algorithm; Computer science; Optics; Geotechnical engineering; Mathematics; Physics; Groundwater; Statistics","score_opus":0.005743305728671574,"score_gpt":0.2228537591510793,"score_spread":0.21711045342240773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053479914","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21283756,0.000076268865,0.7851091,0.000099896024,0.000007853032,0.00002751569,0.0000815029,0.0004723781,0.0012879666],"genre_scores_gemma":[0.72501695,0.00018726385,0.27373073,0.000027118005,0.000006406154,0.000017279519,0.00012424916,0.00003874785,0.0008512634],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99988437,0.00003734791,0.0000065857307,0.00001963784,0.0000375256,0.000014584061],"domain_scores_gemma":[0.9997348,0.00011963078,0.000051112504,0.000036392437,0.000047255657,0.000010673318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003606631,0.00030871163,0.00015752365,0.0003005361,0.000095784846,0.0005084404,0.00026061546,0.0003436815,0.0004566784],"category_scores_gemma":[0.0011999604,0.00020107088,0.00019113785,0.00043944773,0.0002997669,0.00047975002,0.00047141538,0.00018977151,0.00014311513],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044566905,0.00006513374,0.01043193,0.00015347263,0.000049984654,0.0011043719,0.00040608336,0.53944457,0.2605558,0.012986666,0.001015868,0.17334042],"study_design_scores_gemma":[0.000016836502,0.000060820934,0.003296179,0.000007445404,0.000012257404,0.000722345,0.00008165819,0.95785296,0.034760665,0.0020319226,0.0011325964,0.000024264455],"about_ca_topic_score_codex":0.0015055743,"about_ca_topic_score_gemma":0.0018970184,"teacher_disagreement_score":0.0015055743,"about_ca_system_score_codex":0.00017065703,"about_ca_system_score_gemma":0.00025099143,"threshold_uncertainty_score":0.0029935837},"labels":[],"label_agreement":null},{"id":"W2053513171","doi":"10.4133/jeeg6.2.91","title":"A Discrimination Algorithm for UXO Using Time Domain Electromagnetics","year":2001,"lang":"en","type":"article","venue":"Journal of Environmental and Engineering Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":148,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Engineer Research and Development Center; U.S. Army Corps of Engineers; U.S. Department of Defense","keywords":"Dipole; Magnetic dipole; Midpoint; Inversion (geology); Geometry; Parametric statistics; Cylinder; Field (mathematics); Mathematical analysis; Magnetic field; Algorithm; Physics; Mathematics; Optics; Geology; Statistics; Quantum mechanics","score_opus":0.00534667472967779,"score_gpt":0.1943145260430011,"score_spread":0.1889678513133233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053513171","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008251392,0.000058900565,0.99008125,0.00007681415,0.000032106094,0.000038214148,0.000021103295,0.0007754053,0.00066485576],"genre_scores_gemma":[0.13822278,0.00011025913,0.85768914,0.00014024058,0.000051326235,0.0001297845,0.00023076494,0.00014603729,0.0032796515],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99963474,0.000046160938,0.000025355208,0.00009286676,0.00013153162,0.000069323665],"domain_scores_gemma":[0.99906963,0.00041466273,0.00007769216,0.00007808353,0.0003039822,0.000055999975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009313302,0.000557044,0.00077592174,0.001256049,0.0006208698,0.0014146274,0.0010421721,0.001132159,0.004024542],"category_scores_gemma":[0.0040324205,0.00033919944,0.00052744243,0.0007612696,0.00046949246,0.0010933612,0.0011826887,0.0013975671,0.001879682],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032842866,0.00012517287,0.0017631485,0.00007238787,0.00002550405,0.00013598858,0.00008500839,0.044268496,0.03274604,0.011794804,0.002266538,0.90638846],"study_design_scores_gemma":[0.000029718636,0.00007308968,0.0008162317,0.0000151959,0.000009314535,0.00015493906,0.000051362425,0.97995377,0.009861515,0.00591672,0.003100762,0.000017393813],"about_ca_topic_score_codex":0.0014013415,"about_ca_topic_score_gemma":0.0011784177,"teacher_disagreement_score":0.004024542,"about_ca_system_score_codex":0.00031601815,"about_ca_system_score_gemma":0.00084675977,"threshold_uncertainty_score":0.013463438},"labels":[],"label_agreement":null},{"id":"W2053629007","doi":"10.2113/0090141","title":"Investigation of Electrical Properties of Radioactive Phosphatic Layers in the Al-Sharquieh Mine, Syria","year":2000,"lang":"en","type":"article","venue":"Exploration and Mining Geology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Damascus University; Atomic Energy Commission of Syria; Northwestern University","keywords":"Geology; Radionuclide; Geochemistry; Mining engineering; Mineralogy; Nuclear physics","score_opus":0.03609743636242694,"score_gpt":0.2399688712247759,"score_spread":0.20387143486234896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053629007","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995629,0.000023181547,0.00011141807,0.0000031083725,5.309736e-7,0.0000016031215,0.000035676927,0.0000022755767,0.00025939546],"genre_scores_gemma":[0.99946433,0.000026321413,0.00013258489,0.0000026178132,7.5922253e-7,0.0000015828643,0.00005402498,0.000001424107,0.0003165018],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99994266,0.0000058388705,0.0000037872958,0.0000134575375,0.000022297394,0.000011903494],"domain_scores_gemma":[0.9999032,0.000017192808,0.000026661652,0.0000043642117,0.000041298033,0.000007289536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009693572,0.00014074263,0.00016831682,0.000604616,0.00024841618,0.00032692382,0.000111949135,0.0001926622,0.00040775366],"category_scores_gemma":[0.00019468946,0.0001839413,0.00007860532,0.00034659955,0.00023410592,0.00015827118,0.00017028642,0.00009966252,0.00011601057],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005959743,0.00007749815,0.5713201,0.00015913573,0.00009074183,0.0019826523,0.001953291,0.002104049,0.4036172,0.00021155995,0.00015799975,0.01772972],"study_design_scores_gemma":[0.000013498643,0.00016656992,0.9693431,0.000013605229,0.000026494194,0.0006436506,0.000741612,0.002544481,0.0255289,0.000055058263,0.00091441814,0.000008659531],"about_ca_topic_score_codex":0.004939916,"about_ca_topic_score_gemma":0.009936667,"teacher_disagreement_score":0.004939916,"about_ca_system_score_codex":0.00018218394,"about_ca_system_score_gemma":0.00015234285,"threshold_uncertainty_score":0.009822309},"labels":[],"label_agreement":null},{"id":"W2054966985","doi":"10.1002/esp.1299","title":"Seasonal changes in ground‐penetrating radar signature observed at a polythermal glacier, Bylot Island, Canada","year":2006,"lang":"en","type":"article","venue":"Earth Surface Processes and Landforms","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":81,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Ground-penetrating radar; Glacier; Geology; Meltwater; Ablation zone; Glacier ice accumulation; Geomorphology; Rock glacier; Glacial period; Arctic; Climatology; Radar; Ice stream; Oceanography; Sea ice; Cryosphere","score_opus":0.008388836569383716,"score_gpt":0.1922941431721698,"score_spread":0.1839053066027861,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054966985","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982685,0.000059093964,0.00004205033,0.000019205721,0.0000029996968,0.000010884939,0.0006222328,0.0000099636745,0.0009651716],"genre_scores_gemma":[0.9977703,0.0000855215,0.00013361587,0.000018911962,0.0000017173741,0.000007855288,0.0009565229,0.0000031059628,0.0010225856],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999848,0.0000052622568,0.0000049016608,0.00002721202,0.00005777086,0.00005675292],"domain_scores_gemma":[0.99931765,0.00003365854,0.00006088825,0.000015414826,0.00043615393,0.00013634296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015158863,0.00027412595,0.00021893838,0.0010877657,0.0014276977,0.0007292076,0.00039595095,0.00024032555,0.0008033376],"category_scores_gemma":[0.0003180796,0.000114732546,0.0001280215,0.0012586478,0.0004557836,0.00014369287,0.00028554135,0.0002575915,0.00016074986],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021646562,0.00006680885,0.96997684,0.000036057758,0.000044528868,0.00054829015,0.0019629782,0.00045287047,0.016620709,0.000048403344,0.0011365234,0.008889592],"study_design_scores_gemma":[0.0000019128017,0.000010587896,0.9983773,0.0000033363701,0.0000041406643,0.00003148876,0.0007671397,0.00015908275,0.00023699416,0.0000015608525,0.00040346413,0.0000029787418],"about_ca_topic_score_codex":0.97003895,"about_ca_topic_score_gemma":0.9910613,"teacher_disagreement_score":0.02996105,"about_ca_system_score_codex":0.006276921,"about_ca_system_score_gemma":0.004793301,"threshold_uncertainty_score":0.06027496},"labels":[],"label_agreement":null},{"id":"W2055036515","doi":"10.1117/12.728483","title":"Soil compensation techniques for the detection of buried metallic objects using electromagnetic sensors","year":2007,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada; University of British Columbia","funders":"","keywords":"Eddy current; Unexploded ordnance; Electromagnetic induction; Ferrimagnetism; Geology; Time domain; Magnetite; Materials science; Acoustics; Geophysics; Soil science; Nuclear magnetic resonance; Computational physics; Magnetic field; Physics; Magnetization; Remote sensing; Computer science; Electrical engineering; Engineering","score_opus":0.014031078896986165,"score_gpt":0.24886878858327144,"score_spread":0.23483770968628528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055036515","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17121983,0.00040809,0.82585615,0.00008067358,0.000042781638,0.00004989817,0.00009918327,0.0013313402,0.0009121768],"genre_scores_gemma":[0.46696472,0.00046742838,0.53064746,0.00005219065,0.000028038776,0.000049829836,0.00024871487,0.000059243903,0.0014822641],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99985623,0.000023230672,0.0000063132065,0.00001983696,0.00007982419,0.000014510235],"domain_scores_gemma":[0.99969876,0.00012483094,0.000055466506,0.000029944058,0.000082982,0.000008180826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027862485,0.00038960853,0.00021579156,0.00058135675,0.00013471104,0.00021878982,0.00035038014,0.0003354953,0.0007858179],"category_scores_gemma":[0.0010578028,0.00016374489,0.00019453488,0.0005731245,0.0001504698,0.0003842791,0.00016159833,0.00025026908,0.0003373372],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028753083,0.00010407274,0.0035580895,0.00016705073,0.000052754374,0.00013514743,0.00010560101,0.023955429,0.51993,0.0012723374,0.0007520474,0.44967994],"study_design_scores_gemma":[0.00003951891,0.00044902452,0.020500088,0.000026185973,0.000073097784,0.0009697261,0.00016309193,0.49550006,0.47292262,0.0013769233,0.007919718,0.0000598178],"about_ca_topic_score_codex":0.00060971914,"about_ca_topic_score_gemma":0.0018244132,"teacher_disagreement_score":0.0007858179,"about_ca_system_score_codex":0.00019591665,"about_ca_system_score_gemma":0.00019940069,"threshold_uncertainty_score":0.0026288629},"labels":[],"label_agreement":null},{"id":"W2055307301","doi":"10.1115/1.2176681","title":"Numerical and Experimental Investigation of Thermal Signatures of Buried Landmines in Dry Soil","year":2005,"lang":"en","type":"article","venue":"Journal of Heat Transfer","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Thermocouple; Thermal; Numerical analysis; Soil thermal properties; Thermal conductivity; Soil science; Soil water; Environmental science; Computer simulation; Infrared; Geology; Materials science; Mineralogy; Geotechnical engineering; Mechanics; Optics; Meteorology; Composite material; Mathematics; Physics","score_opus":0.01096264049442859,"score_gpt":0.2474468406626254,"score_spread":0.23648420016819682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055307301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98645717,0.00005479135,0.012648722,0.00002099559,0.000007511625,0.00001700719,0.00007018683,0.00006877811,0.0006547627],"genre_scores_gemma":[0.9924656,0.000036547655,0.007235184,0.0000036158824,0.000001779899,0.000014522729,0.000039219412,0.000005260175,0.00019830944],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998603,0.000018305735,0.000009936409,0.000028690216,0.00006363224,0.000019140842],"domain_scores_gemma":[0.99944264,0.0002592312,0.00008563257,0.00007973844,0.000096469725,0.000036221783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003664222,0.0002744743,0.00034527114,0.00026083546,0.00019606315,0.00022201634,0.00036825702,0.0003715301,0.00057654444],"category_scores_gemma":[0.0012029588,0.00017906963,0.00016691757,0.00025390982,0.00063908024,0.00032623697,0.00026951026,0.00024880446,0.000077448756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046319963,0.0002980821,0.011589449,0.00020855913,0.000017915994,0.0002233748,0.00031094372,0.18443973,0.7895928,0.00088865194,0.00012703004,0.011840265],"study_design_scores_gemma":[0.000055928103,0.0009958983,0.013760217,0.000018858147,0.00002094931,0.00022960632,0.00017888666,0.7473931,0.23623498,0.00048515177,0.0005839425,0.00004256945],"about_ca_topic_score_codex":0.000645282,"about_ca_topic_score_gemma":0.00071456854,"teacher_disagreement_score":0.000645282,"about_ca_system_score_codex":0.00024294568,"about_ca_system_score_gemma":0.000162581,"threshold_uncertainty_score":0.0019378066},"labels":[],"label_agreement":null},{"id":"W2055347688","doi":"","title":"Numerical study of the THM effects on the near-field safety of a hypothetical nuclear waste \\nrepository - BMT1 of the DECOVALEX III project. Part 3: Effects of THM coupling in sparsely \\nfractured rocks","year":2004,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Nuclear Safety Commission","funders":"Canadian Nuclear Safety Commission; Institut de Radioprotection et de SÛreté Nucléaire; European Commission","keywords":"Closure (psychology); Radioactive waste; Geotechnical engineering; Coupling (piping); Bentonite; Stress (linguistics); Geology; Environmental science; Engineering; Waste management; Mechanical engineering","score_opus":0.011477364441739735,"score_gpt":0.20874337596411405,"score_spread":0.1972660115223743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055347688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9829113,0.00012254219,0.005346855,0.00031117885,0.000042348318,0.000046780864,0.0003341829,0.00008264809,0.010802195],"genre_scores_gemma":[0.99689484,0.000031354863,0.0016756958,0.000034485678,0.000004275559,0.000022882963,0.00014450595,0.000011708928,0.0011801962],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981016,0.000042357395,0.000008744227,0.00003060914,0.000034025063,0.000074265845],"domain_scores_gemma":[0.9987062,0.0007742987,0.00016611458,0.000051801217,0.00013738745,0.00016414578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046548745,0.0004862876,0.00065793423,0.00052239234,0.00082666945,0.0009946096,0.0009148995,0.0022833473,0.0032265992],"category_scores_gemma":[0.0020064283,0.00033394797,0.00070547045,0.00040037266,0.001171626,0.00047442742,0.00081300514,0.0009373226,0.00018110337],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001316234,0.0001220911,0.00394186,0.000043369037,0.000022908016,0.00027325927,0.000040751656,0.9909576,0.0020775856,0.0007237927,0.0003194225,0.001345649],"study_design_scores_gemma":[0.000029664028,0.00008816386,0.0018478722,0.000008083795,0.000008880523,0.000023002669,0.00010101503,0.9969091,0.00063835207,0.00018076306,0.00015697569,0.000008212726],"about_ca_topic_score_codex":0.022629542,"about_ca_topic_score_gemma":0.011738951,"teacher_disagreement_score":0.022629542,"about_ca_system_score_codex":0.000888813,"about_ca_system_score_gemma":0.00084122916,"threshold_uncertainty_score":0.044995606},"labels":[],"label_agreement":null},{"id":"W2056435173","doi":"10.1190/1.1438922","title":"GPR studies of pyroclastic deposits: Subsurface information where there are no outcrops","year":2001,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Pyroclastic rock; Outcrop; Geology; Ground-penetrating radar; Pyroclastic fall; Geomorphology; Geochemistry; Archaeology; Geography; Volcano; Engineering; Explosive eruption; Radar","score_opus":0.02928533279666567,"score_gpt":0.2813978095354505,"score_spread":0.25211247673878484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056435173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978237,0.00012294513,0.00096227444,0.000010243401,0.0000015779348,0.000009823888,0.000115934265,0.000010399998,0.00094320026],"genre_scores_gemma":[0.9968509,0.00013633874,0.0025790832,0.000009495741,0.0000036117435,0.000004786809,0.00018797205,0.0000027822225,0.00022510809],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99983156,0.000031956468,0.000012102431,0.000026804644,0.000054231474,0.00004328248],"domain_scores_gemma":[0.9996182,0.000080369224,0.000056006575,0.000049727652,0.00015011097,0.000045568468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003749813,0.00018409362,0.00022049363,0.00064778305,0.0002820459,0.00033044245,0.00017157284,0.00022754203,0.000430521],"category_scores_gemma":[0.00077949086,0.00011731591,0.00005502732,0.0006559154,0.00023908478,0.00032155422,0.00033492997,0.00016313599,0.00015672899],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054678344,0.00035950393,0.67459184,0.00023011233,0.000025555019,0.0030016487,0.003433143,0.0014222154,0.23592184,0.00029542527,0.00031854896,0.07985343],"study_design_scores_gemma":[0.000031318075,0.0011495573,0.90603036,0.000072873394,0.00006697872,0.0061112875,0.005093629,0.005505785,0.07004109,0.00036059693,0.0055079036,0.000028606679],"about_ca_topic_score_codex":0.0017249937,"about_ca_topic_score_gemma":0.0036681776,"teacher_disagreement_score":0.0017249937,"about_ca_system_score_codex":0.00006560457,"about_ca_system_score_gemma":0.00017611396,"threshold_uncertainty_score":0.0034299493},"labels":[],"label_agreement":null},{"id":"W2057973747","doi":"10.1016/j.conbuildmat.2006.05.058","title":"Aptitude of the near-field direct wave of ground-coupled radar antennas for the characterisation of the covercrete","year":2006,"lang":"en","type":"article","venue":"Construction and Building Materials","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Transmitter; Ground-penetrating radar; Radar; Acoustics; Field (mathematics); Saturation (graph theory); Engineering; Materials science; Structural engineering; Geotechnical engineering; Physics; Electrical engineering; Telecommunications; Mathematics","score_opus":0.009872535594672088,"score_gpt":0.21746253731728335,"score_spread":0.20759000172261127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057973747","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9076572,0.00066411146,0.069942676,0.00011602602,0.000047128928,0.00004131838,0.00029931281,0.00021124337,0.021020938],"genre_scores_gemma":[0.98764765,0.00027622152,0.009429799,0.00004994854,0.000017194014,0.000015549207,0.00015503594,0.000028007638,0.0023806412],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99979323,0.0000351786,0.0000048352063,0.00006578298,0.000080726306,0.000020258789],"domain_scores_gemma":[0.99929476,0.00029722048,0.000074348216,0.000097140604,0.00018712273,0.000049392012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033843907,0.00037404016,0.00018578644,0.0009885926,0.00018327235,0.00047387963,0.00025659142,0.0005060391,0.0024345452],"category_scores_gemma":[0.0009606818,0.00022051236,0.00015298801,0.00044110595,0.000500422,0.00061694835,0.00041292957,0.00038154153,0.0006148557],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044346752,0.00009367329,0.015041595,0.00018529614,0.0000287332,0.00014646882,0.00040091277,0.003919199,0.92654854,0.0015278707,0.00030514036,0.05135914],"study_design_scores_gemma":[0.00009518044,0.0013074355,0.20760086,0.00008175447,0.00019091729,0.003943288,0.00097081997,0.07865604,0.6968334,0.003286344,0.0069226227,0.00011140674],"about_ca_topic_score_codex":0.00031671187,"about_ca_topic_score_gemma":0.0006845529,"teacher_disagreement_score":0.0024345452,"about_ca_system_score_codex":0.00011291253,"about_ca_system_score_gemma":0.00015988311,"threshold_uncertainty_score":0.008144379},"labels":[],"label_agreement":null},{"id":"W2058545423","doi":"10.1016/j.jappgeo.2011.03.003","title":"Evaluation of the reconstruction limits of a frequency-independent crosshole georadar waveform inversion scheme in the presence of dispersion","year":2011,"lang":"en","type":"article","venue":"Journal of Applied Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Eidgenössische Technische Hochschule Zürich; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Waveform; Inversion (geology); Geology; Wavelet; Ground-penetrating radar; Petrophysics; Tomography; Acoustics; Algorithm; Seismology; Computer science; Porosity; Optics; Artificial intelligence; Geotechnical engineering; Radar; Physics; Telecommunications","score_opus":0.041485108538482376,"score_gpt":0.25677783102325297,"score_spread":0.2152927224847706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058545423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53996974,0.00063962076,0.45407566,0.00051575026,0.000042090353,0.000064505526,0.0002086482,0.00037103254,0.004112945],"genre_scores_gemma":[0.89381456,0.00028151806,0.104424044,0.00005455468,0.00002215758,0.000048170143,0.00034486802,0.00009138333,0.0009186948],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989015,0.0004612323,0.000062701896,0.00011079143,0.00036566737,0.000098082026],"domain_scores_gemma":[0.9854123,0.011920139,0.0004989891,0.00071390776,0.0012643341,0.00019035334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050161616,0.0004684513,0.00047069293,0.00055429974,0.00041246376,0.0011609929,0.0007766885,0.0016383163,0.0010311941],"category_scores_gemma":[0.02703963,0.00039829983,0.00030994965,0.00043395467,0.0010249682,0.0019176396,0.0018213885,0.00073311233,0.00014429742],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0054313065,0.0003210449,0.0169285,0.00055915024,0.0002723235,0.0006415653,0.000640101,0.69759786,0.08528053,0.030340951,0.0010279121,0.16095875],"study_design_scores_gemma":[0.000036352663,0.00013869558,0.002411061,0.00002698076,0.00003376779,0.0001332279,0.00005320719,0.9723155,0.022611693,0.0018375993,0.00037509858,0.000026757829],"about_ca_topic_score_codex":0.0028024125,"about_ca_topic_score_gemma":0.0019349304,"teacher_disagreement_score":0.0050161616,"about_ca_system_score_codex":0.00044198142,"about_ca_system_score_gemma":0.0010716909,"threshold_uncertainty_score":0.026528299},"labels":[],"label_agreement":null},{"id":"W2059659108","doi":"10.1190/1.2769560","title":"Spectral decomposition of 3D ground-penetrating radar data from an alluvial environment","year":2007,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ground-penetrating radar; Alluvium; Geology; Remote sensing; Decomposition; Radar; Computer science; Geomorphology; Chemistry; Telecommunications","score_opus":0.040636773517454816,"score_gpt":0.31446011381598704,"score_spread":0.2738233402985322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059659108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92546725,0.0001159875,0.07262135,0.00005128951,0.000024823925,0.00001905592,0.00044837932,0.00033771468,0.0009141374],"genre_scores_gemma":[0.96019495,0.00024774982,0.037859403,0.000028120234,0.000020223091,0.0000127930525,0.0011489884,0.000041637442,0.00044612066],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99985313,0.000018968149,0.000007924826,0.000018185905,0.00007487267,0.000027008247],"domain_scores_gemma":[0.9998104,0.00004879354,0.000023004648,0.000021969598,0.00007653501,0.000019339164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018437783,0.00033109265,0.00019222127,0.0012870806,0.000107249914,0.00046359395,0.00012336916,0.00020165165,0.0003611238],"category_scores_gemma":[0.00045325246,0.00013339634,0.00024793466,0.000932158,0.00011730271,0.00024403796,0.0002496173,0.00019886754,0.00023704013],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006087568,0.00033543707,0.050151534,0.00024394073,0.0001325394,0.0017030239,0.00069505174,0.077745706,0.39513528,0.0011254294,0.0022699137,0.46985337],"study_design_scores_gemma":[0.000031077056,0.00030990312,0.33060127,0.00004706546,0.000107676904,0.0016808008,0.001471632,0.60174006,0.05746242,0.0016879676,0.0047614104,0.000098678895],"about_ca_topic_score_codex":0.0017691803,"about_ca_topic_score_gemma":0.0024765863,"teacher_disagreement_score":0.0017691803,"about_ca_system_score_codex":0.000101871046,"about_ca_system_score_gemma":0.00016413568,"threshold_uncertainty_score":0.003517747},"labels":[],"label_agreement":null},{"id":"W2059978920","doi":"10.1121/1.429040","title":"Acoustic 3D computed tomography for demining and archeological applications","year":2000,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Microstructural Sciences; York University","funders":"","keywords":"Acoustics; SIGNAL (programming language); Tomography; Line (geometry); Geology; Noise (video); Energy (signal processing); Point (geometry); Point source; Computer science; Optics; Physics; Image (mathematics); Computer vision; Geometry; Mathematics","score_opus":0.013498639356276002,"score_gpt":0.25699323972505367,"score_spread":0.24349460036877768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059978920","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02095087,0.010425485,0.9540992,0.001999044,0.0002830455,0.000100304846,0.00071203714,0.0014132286,0.010016839],"genre_scores_gemma":[0.237049,0.010681469,0.746854,0.0004262888,0.00022538734,0.00020849417,0.0006787195,0.00016610083,0.003710609],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997726,0.000073245006,0.000011921555,0.000022805005,0.00011017957,0.00000931825],"domain_scores_gemma":[0.99940467,0.0002901774,0.000048585767,0.0001109329,0.00011209741,0.00003347132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039808193,0.0004990406,0.00026260613,0.0012695809,0.00024392469,0.00083315687,0.00047291396,0.0006783734,0.00474882],"category_scores_gemma":[0.001572034,0.0003086819,0.000263739,0.0012309315,0.0006606332,0.00047505778,0.00062195805,0.0006084896,0.00069017604],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025984098,0.00006038696,0.006052164,0.0009092165,0.000077968245,0.0009327614,0.00034398003,0.050230227,0.1458066,0.035630118,0.016486512,0.7432103],"study_design_scores_gemma":[0.00013982745,0.00021563745,0.01350972,0.00046299482,0.00016866668,0.004857783,0.000497091,0.53609914,0.089685574,0.063123286,0.29104635,0.00019391526],"about_ca_topic_score_codex":0.0012531016,"about_ca_topic_score_gemma":0.002863261,"teacher_disagreement_score":0.00474882,"about_ca_system_score_codex":0.00037382913,"about_ca_system_score_gemma":0.00070021016,"threshold_uncertainty_score":0.015886366},"labels":[],"label_agreement":null},{"id":"W2060235802","doi":"10.1117/12.383524","title":"&lt;title&gt;Simple method for modeling radar reflections in a homogeneous halfspace, with applications&lt;/title&gt;","year":2000,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ground-penetrating radar; Specular reflection; Dipole; Optics; Radiation pattern; Synthetic data; Reflection (computer programming); Amplitude; Geology; Physics; Computational physics; Geometry; Radar; Computer science; Antenna (radio); Algorithm; Mathematics; Telecommunications","score_opus":0.014226266756521045,"score_gpt":0.26483256730952404,"score_spread":0.250606300553003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060235802","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015746973,0.00029571954,0.9856376,0.00011265568,0.0002796294,0.000080940656,0.0006566021,0.0042737564,0.007088385],"genre_scores_gemma":[0.048731558,0.00082812,0.8989189,0.00021825077,0.00023053239,0.0003064798,0.0032091867,0.004068107,0.0434888],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975985,0.000036903686,0.000014512655,0.00004934526,0.00012297348,0.000016373913],"domain_scores_gemma":[0.9996568,0.00008925061,0.000024551713,0.00008370585,0.00013001799,0.000015675214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004273743,0.0006778848,0.00048286124,0.0005323277,0.00026740707,0.0009781398,0.0016585712,0.00087387254,0.0426473],"category_scores_gemma":[0.0011553812,0.00035348375,0.0005794565,0.00081365457,0.00032919034,0.0010058153,0.00064092537,0.0007367833,0.029094225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001945433,0.00012451316,0.00095972867,0.0006262133,0.00007688435,0.00038921554,0.00009905474,0.14864151,0.06188652,0.04428582,0.09199898,0.65071696],"study_design_scores_gemma":[0.00005783265,0.00007190968,0.00084121386,0.000042222033,0.000015721287,0.00020919458,0.000017458027,0.8196399,0.025807977,0.0128152175,0.14042224,0.000059056765],"about_ca_topic_score_codex":0.0029579434,"about_ca_topic_score_gemma":0.0035324304,"teacher_disagreement_score":0.0426473,"about_ca_system_score_codex":0.00040138402,"about_ca_system_score_gemma":0.00046928934,"threshold_uncertainty_score":0.14266944},"labels":[],"label_agreement":null},{"id":"W2060970844","doi":"10.1016/j.geomorph.2013.10.031","title":"Geomorphology, internal structure, and successive development of a glacier foreland in the semiarid Chilean Andes (Cerro Tapado, upper Elqui Valley, 30°08′ S., 69°55′ W.)","year":2013,"lang":"en","type":"article","venue":"Geomorphology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Geology; Glacier; Rock glacier; Landform; Geomorphology; Ground-penetrating radar; Debris; Moraine; Radar","score_opus":0.007553833189729103,"score_gpt":0.22747427818418686,"score_spread":0.21992044499445776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060970844","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985703,0.00010137334,0.000020363224,0.000040604653,0.0000011534011,0.0000036712138,0.00039322145,0.00000219079,0.00086704013],"genre_scores_gemma":[0.9992034,0.000060976057,0.000046645084,0.0000069804832,0.0000012947307,0.0000040774153,0.0002981969,0.0000014619893,0.0003769898],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992585,0.000011819292,0.0000051761967,0.000021463786,0.000009264259,0.000026470945],"domain_scores_gemma":[0.9997532,0.000030438738,0.00008114303,0.000019293424,0.000059509708,0.000056484052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020188058,0.00012338917,0.0001035685,0.0010191265,0.00044045757,0.00057707325,0.00025538696,0.0001753748,0.0011746852],"category_scores_gemma":[0.0004081762,0.00011400002,0.0001689022,0.0012733102,0.00069390755,0.00023313696,0.0005851285,0.0002064392,0.00015133055],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010738462,0.00003643588,0.98755056,0.000032590004,0.00004245255,0.00026813726,0.0017177091,0.00056306366,0.0016383134,0.00030989284,0.0004119727,0.0073215845],"study_design_scores_gemma":[0.0000015242663,0.0000033240815,0.99924964,0.0000047147637,0.0000024558228,0.00002557716,0.0004385188,0.00006399655,0.000021095573,0.000011701214,0.00017589766,0.0000015263421],"about_ca_topic_score_codex":0.18314476,"about_ca_topic_score_gemma":0.3548419,"teacher_disagreement_score":0.18314476,"about_ca_system_score_codex":0.0012081629,"about_ca_system_score_gemma":0.00096570473,"threshold_uncertainty_score":0.36415744},"labels":[],"label_agreement":null},{"id":"W2062925694","doi":"10.1115/ipc2012-90510","title":"An Approach to Sinkhole Prevention on Post Pipeline Construction at Trenchless Road Crossings","year":2012,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sinkhole; Trenchless technology; Ground-penetrating radar; Pipeline (software); Geotechnical engineering; Mining engineering; Geology; Pipeline transport; Forensic engineering; Radar; Civil engineering; Engineering; Karst; Environmental engineering; Telecommunications","score_opus":0.02043042656764442,"score_gpt":0.28884021115881153,"score_spread":0.2684097845911671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062925694","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4533254,0.003254605,0.32734212,0.01896007,0.0012199206,0.012357965,0.0007522837,0.010242314,0.17254531],"genre_scores_gemma":[0.7748308,0.0017017891,0.17571375,0.001161718,0.00014012452,0.0011482132,0.0005109032,0.00019839354,0.044594318],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99645364,0.0006415907,0.00015634474,0.00046675603,0.0015350753,0.0007466192],"domain_scores_gemma":[0.9930166,0.00071710715,0.0010535024,0.0005438736,0.0036252243,0.0010436822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028883845,0.0011758746,0.00046088675,0.0054050903,0.0040356484,0.0029195524,0.0036433726,0.002127798,0.0077746934],"category_scores_gemma":[0.007639527,0.00063655054,0.0005894447,0.0014576723,0.0011191336,0.0019542899,0.003876074,0.0019344524,0.0022506122],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023033711,0.0021776261,0.06690681,0.0011222214,0.000069967035,0.0037792616,0.009579147,0.008334695,0.033990398,0.0065826285,0.03184429,0.8353827],"study_design_scores_gemma":[0.00020704187,0.0048452774,0.42930695,0.0034288294,0.0003873744,0.0062566507,0.08173814,0.04096226,0.068519324,0.012081565,0.35168108,0.000585474],"about_ca_topic_score_codex":0.020900914,"about_ca_topic_score_gemma":0.063188806,"teacher_disagreement_score":0.020900914,"about_ca_system_score_codex":0.0029633683,"about_ca_system_score_gemma":0.02032806,"threshold_uncertainty_score":0.041558504},"labels":[],"label_agreement":null},{"id":"W2064227505","doi":"10.1139/t00-097","title":"Fracturing in low-permeability soils for remediation of contaminated ground","year":2001,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tiltmeter; Geotechnical engineering; Geology; Electrical resistivity tomography; Permeability (electromagnetism); Excavation; Hydraulic fracturing; Fracture (geology); Environmental remediation; Electrical resistivity and conductivity; Contamination; Engineering","score_opus":0.014090732472699262,"score_gpt":0.2505929166299031,"score_spread":0.2365021841572038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064227505","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976041,0.00014882111,0.0019262668,0.000023540455,0.000002465265,0.000019580018,0.000030872394,0.000015768977,0.00022856295],"genre_scores_gemma":[0.9963303,0.00020306319,0.003118774,0.0000093917315,0.0000021254432,0.000009900876,0.00004704329,0.000003546666,0.000275778],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99984324,0.000038280137,0.000008231001,0.000019987307,0.00006374941,0.000026533862],"domain_scores_gemma":[0.999689,0.0001313224,0.000081916405,0.00001635618,0.00006120248,0.00002023812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018958341,0.00022114084,0.0002339118,0.00033386328,0.00032018073,0.0002037863,0.00022167938,0.00021082556,0.00063637405],"category_scores_gemma":[0.00054542895,0.000091946975,0.00012304338,0.0002082636,0.00025231732,0.0002751293,0.00017360754,0.00016206018,0.00008461958],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004269673,0.00022943219,0.019322021,0.00026548535,0.00001278933,0.00031292383,0.00026667063,0.0021728645,0.94071376,0.0000928354,0.000089797075,0.03609446],"study_design_scores_gemma":[0.000047198697,0.0037595076,0.060245845,0.000026912328,0.0000362203,0.00068507326,0.00061098475,0.0043830015,0.9289099,0.00021640083,0.0010598577,0.000019178276],"about_ca_topic_score_codex":0.002683542,"about_ca_topic_score_gemma":0.0074516768,"teacher_disagreement_score":0.002683542,"about_ca_system_score_codex":0.00027763628,"about_ca_system_score_gemma":0.00022501158,"threshold_uncertainty_score":0.005335808},"labels":[],"label_agreement":null},{"id":"W2064571432","doi":"10.1016/j.wasman.2013.05.020","title":"Estimating water content in an active landfill with the aid of GPR","year":2013,"lang":"en","type":"article","venue":"Waste Management","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Guelph; Regional Municipality of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ground-penetrating radar; Borehole; Water content; Offset (computer science); Environmental science; Groundwater; Soil science; Environmental engineering; Radar; Geology; Geotechnical engineering; Engineering","score_opus":0.018022789976077706,"score_gpt":0.22499628867350632,"score_spread":0.20697349869742862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064571432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9839521,0.00006681572,0.01482308,0.000047146998,0.0000046807518,0.00000940996,0.000118468546,0.00016746415,0.0008107751],"genre_scores_gemma":[0.99610907,0.000043240427,0.0035670535,0.000007040989,0.0000026858952,0.0000037651273,0.000049454982,0.000006511354,0.00021114228],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99985707,0.000028202152,0.000008589365,0.000030714033,0.00004688072,0.000028513587],"domain_scores_gemma":[0.99987316,0.000058629124,0.00001528582,0.000012174953,0.000030957344,0.000009727244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022098277,0.0003330952,0.0005646723,0.0006259307,0.0003145018,0.00048453815,0.00039091136,0.0006969108,0.00028833858],"category_scores_gemma":[0.0003579722,0.00020300708,0.00019761095,0.00061280397,0.00032469703,0.0006892659,0.00040068096,0.00025311075,0.00012721226],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018031874,0.00033383715,0.17086497,0.00017853822,0.0001094101,0.0012997797,0.000761255,0.08054058,0.64297616,0.00072822365,0.00066759565,0.09973645],"study_design_scores_gemma":[0.000059900456,0.0006828674,0.1674176,0.000026671523,0.00016740995,0.0006265914,0.0015477067,0.63397,0.19274005,0.001477917,0.0012093713,0.00007394294],"about_ca_topic_score_codex":0.0018802878,"about_ca_topic_score_gemma":0.0018588558,"teacher_disagreement_score":0.0018802878,"about_ca_system_score_codex":0.00018225519,"about_ca_system_score_gemma":0.0002673882,"threshold_uncertainty_score":0.0037387013},"labels":[],"label_agreement":null},{"id":"W2064608688","doi":"10.1155/2010/416190","title":"Ground-Penetrating Radar Evaluation of Moisture and Frost across Typical Saskatchewan Road Soils","year":2010,"lang":"en","type":"article","venue":"Advances in Civil Engineering","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Saskatoon City Hospital; University of Saskatchewan","funders":"","keywords":"Water content; Soil water; Environmental science; Moisture; Soil science; Ground-penetrating radar; Substructure; Geotechnical engineering; Permittivity; Dielectric; Radar; Geology; Materials science; Engineering; Composite material","score_opus":0.008954588136212777,"score_gpt":0.28630834197342686,"score_spread":0.27735375383721406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064608688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994392,0.00002084328,0.00024427142,0.000004021302,5.065456e-7,0.0000058803735,0.0000682025,0.000004321974,0.00021284206],"genre_scores_gemma":[0.999228,0.0000631094,0.00038213428,0.000011765659,4.2593848e-7,0.000004564559,0.000114509814,0.000002315932,0.00019316816],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998387,0.00002076228,0.000010312241,0.000039055783,0.000061501,0.000029533672],"domain_scores_gemma":[0.9997371,0.00006347325,0.00003950743,0.00002048501,0.00011461624,0.000024823932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024625703,0.0002286466,0.00018815284,0.0004246376,0.0002506454,0.00032906706,0.00021597062,0.0001688687,0.00032842925],"category_scores_gemma":[0.0004759595,0.0001540161,0.00012019698,0.00054167875,0.00022163648,0.00023372678,0.00022276485,0.00011324982,0.00009036274],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004436129,0.00013487869,0.38088456,0.00013025649,0.00016365817,0.001146037,0.0006018475,0.008577774,0.57499915,0.00010320354,0.00018594929,0.032629028],"study_design_scores_gemma":[0.000016701826,0.00030940917,0.9289415,0.000009498687,0.000088249915,0.0004079108,0.000915904,0.00830985,0.06047438,0.000052643893,0.00044773263,0.000026198393],"about_ca_topic_score_codex":0.11249251,"about_ca_topic_score_gemma":0.3724691,"teacher_disagreement_score":0.8875075,"about_ca_system_score_codex":0.0007498537,"about_ca_system_score_gemma":0.0006183008,"threshold_uncertainty_score":0.22367543},"labels":[],"label_agreement":null},{"id":"W2065552428","doi":"10.1190/1.1845129","title":"Ground penetrating radar (GPR) as an exploration tool in near surface pegmatite mining","year":2004,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Ground-penetrating radar; Pegmatite; Overburden; Geology; Radar; Mining engineering; Borehole; Remote sensing; Seismology; Mineralogy; Computer science; Geotechnical engineering; Telecommunications","score_opus":0.03185753692121594,"score_gpt":0.283810128749021,"score_spread":0.25195259182780505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065552428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98135364,0.00084147515,0.015687535,0.00016285562,0.000015258077,0.00003476737,0.000032467447,0.00012632749,0.0017456519],"genre_scores_gemma":[0.9867424,0.00042429846,0.012059245,0.000027076601,0.000007145156,0.000005810577,0.00003418158,0.000008354202,0.0006913867],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99951077,0.00020339189,0.000016086407,0.00007731593,0.0001568823,0.00003551542],"domain_scores_gemma":[0.999813,0.000064146756,0.000039733597,0.00002391591,0.000035574907,0.000023680648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059105846,0.00021380762,0.00023948538,0.0004345199,0.0001825848,0.00048822234,0.000583752,0.0005768874,0.00035719702],"category_scores_gemma":[0.001026791,0.00017335825,0.00011180076,0.00039427614,0.00044874699,0.0007620611,0.0004971431,0.0002864392,0.00016547595],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030493487,0.00054805866,0.062218666,0.0003326608,0.00003148931,0.0022213922,0.0009629634,0.01079502,0.6353747,0.0010239074,0.0007054186,0.28273636],"study_design_scores_gemma":[0.00021503727,0.011562745,0.2874554,0.00021121681,0.00016261202,0.011856916,0.0027181432,0.12243838,0.5486056,0.0027197057,0.011915271,0.00013895314],"about_ca_topic_score_codex":0.00094737305,"about_ca_topic_score_gemma":0.00085563114,"teacher_disagreement_score":0.00094737305,"about_ca_system_score_codex":0.0002423645,"about_ca_system_score_gemma":0.00015553828,"threshold_uncertainty_score":0.0031258464},"labels":[],"label_agreement":null},{"id":"W2065736157","doi":"10.1016/j.apradiso.2006.08.008","title":"Flaw detection by spatially coded backscatter radiography","year":2006,"lang":"en","type":"article","venue":"Applied Radiation and Isotopes","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; New Brunswick Innovation Foundation","keywords":"Monte Carlo method; Backscatter (email); Coded aperture; Scattering; Optics; Radiation; Photon; Physics; Aperture (computer memory); Radiography; Observable; Detector; Computational physics; Computer science; Acoustics; Mathematics; Nuclear physics; Statistics; Telecommunications; Wireless","score_opus":0.0024330368287560043,"score_gpt":0.17900922057110993,"score_spread":0.17657618374235393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065736157","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4705366,0.0014648353,0.52094984,0.00020010365,0.00006351671,0.00004836421,0.000114766284,0.00063873857,0.0059833364],"genre_scores_gemma":[0.69914573,0.0007914644,0.2964446,0.00011293989,0.0000254937,0.000027414362,0.000105066145,0.00009881277,0.003248437],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99953055,0.000101956415,0.00002178382,0.000058207086,0.00025687955,0.000030560946],"domain_scores_gemma":[0.9983347,0.00084220344,0.00023949829,0.00019041714,0.00034541835,0.00004787595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007881198,0.0006436896,0.00047914515,0.0014437786,0.00014753133,0.0011064643,0.00060150103,0.0010300389,0.0013483467],"category_scores_gemma":[0.002955318,0.00058278145,0.00022790702,0.0009518702,0.00097234146,0.0009571471,0.00093458896,0.0004595448,0.00036655966],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009810238,0.00006923174,0.0079736095,0.00043557127,0.000061805076,0.00030057185,0.00034108723,0.008928287,0.84198767,0.008072649,0.0004629854,0.13038543],"study_design_scores_gemma":[0.00012313413,0.0003585185,0.016593302,0.00013207844,0.00019497618,0.0033733346,0.00022044091,0.18550497,0.78368014,0.0058472864,0.003836901,0.00013489851],"about_ca_topic_score_codex":0.0004753599,"about_ca_topic_score_gemma":0.0013937717,"teacher_disagreement_score":0.0014437786,"about_ca_system_score_codex":0.00032274437,"about_ca_system_score_gemma":0.0004637732,"threshold_uncertainty_score":0.004510641},"labels":[],"label_agreement":null},{"id":"W2065884155","doi":"10.1080/17486020802352356","title":"The Third James K. Mitchell Lecture: Geo-environmental site characterization<sup>1</sup>","year":2008,"lang":"en","type":"article","venue":"Geomechanics and Geoengineering","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; BC Hydro","keywords":"Groundwater; Piezometer; Tailings; Environmental remediation; Geology; Penetration test; Geotechnical engineering; Electrical resistivity tomography; Hydrology (agriculture); Environmental science; Contamination; Electrical resistivity and conductivity; Aquifer; Engineering; Ecology","score_opus":0.005108851223310192,"score_gpt":0.17017846161761194,"score_spread":0.16506961039430174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065884155","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002521513,0.12849285,0.026855022,0.22887884,0.47573474,0.000072165916,0.0010337163,0.0009094318,0.13550167],"genre_scores_gemma":[0.017357364,0.050775267,0.010026007,0.020234996,0.0841186,0.000058666832,0.00046118046,0.0008204231,0.81614757],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990386,0.00014154176,0.000058027163,0.00021397375,0.00043188513,0.00011606313],"domain_scores_gemma":[0.9975859,0.00042553912,0.000116913776,0.00012575596,0.00087107735,0.0008747845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019339544,0.0010546744,0.0009270122,0.0017027914,0.0010292841,0.002993492,0.0012865964,0.0022591765,0.063839346],"category_scores_gemma":[0.0032139823,0.0004373713,0.00076871767,0.0009678206,0.0011687491,0.0032970496,0.0017993983,0.004106424,0.047695037],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005102735,0.000021459695,0.00034770012,0.0001240637,0.000008621325,0.000101796766,0.00007159026,0.00020615291,0.0010516951,0.0020486487,0.90797526,0.08799214],"study_design_scores_gemma":[0.0000027071649,0.000017401406,0.0005198659,0.00007790309,0.0000045661036,0.00020040502,0.00009971144,0.00011991613,0.00036377626,0.0012728095,0.9973105,0.000010409501],"about_ca_topic_score_codex":0.0021340135,"about_ca_topic_score_gemma":0.0055699092,"teacher_disagreement_score":0.063839346,"about_ca_system_score_codex":0.001726183,"about_ca_system_score_gemma":0.0013201105,"threshold_uncertainty_score":0.21356386},"labels":[],"label_agreement":null},{"id":"W2066083276","doi":"10.1080/14680629.2012.742628","title":"Investigating<i>in situ</i>stress-dependent behaviour of foamed asphalt-treated pavement materials","year":2012,"lang":"en","type":"article","venue":"Road Materials and Pavement Design","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Technical University of Athens","keywords":"Falling weight deflectometer; Asphalt; Geotechnical engineering; Modulus; Christian ministry; Stress (linguistics); Structural engineering; Materials science; Engineering; Composite material","score_opus":0.035125192671803473,"score_gpt":0.26573578325301817,"score_spread":0.2306105905812147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066083276","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971046,0.00017218974,0.0022027718,0.000009743646,0.0000072882362,0.0000067422397,0.00008760396,0.00002947539,0.00037969652],"genre_scores_gemma":[0.99779,0.00009208012,0.0013912717,0.000010264881,0.0000023261625,0.00000817468,0.00007890856,0.000010998295,0.0006159366],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997278,0.000037318314,0.00001765028,0.000054965752,0.00012234267,0.000039873354],"domain_scores_gemma":[0.9996538,0.00007651158,0.00009732761,0.000037658716,0.00011409284,0.000020593518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024948714,0.00041769247,0.00023399724,0.00044513587,0.00018956407,0.00023233122,0.00029585723,0.0004033054,0.001544441],"category_scores_gemma":[0.000407886,0.00017863016,0.00023101585,0.00030911894,0.00034718393,0.00040561784,0.00021411711,0.0003046162,0.00025682908],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009847038,0.000020168109,0.0020086644,0.000055938224,0.0000065903632,0.000033353535,0.00009435296,0.0004036425,0.99324715,0.000014421527,0.000016329639,0.004000808],"study_design_scores_gemma":[0.000001910883,0.0002330632,0.01839883,0.00000459663,0.000011928836,0.00005018555,0.00011562414,0.001161217,0.97958595,0.000016634884,0.00041186676,0.000008249839],"about_ca_topic_score_codex":0.0009848643,"about_ca_topic_score_gemma":0.0021416622,"teacher_disagreement_score":0.001544441,"about_ca_system_score_codex":0.00020332419,"about_ca_system_score_gemma":0.00011575741,"threshold_uncertainty_score":0.0051667094},"labels":[],"label_agreement":null},{"id":"W2066633707","doi":"10.3390/s140713243","title":"Vertical Soil Profiling Using a Galvanic Contact Resistivity Scanning Approach","year":2014,"lang":"en","type":"article","venue":"Sensors","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Depth sounding; Electrical resistivity and conductivity; Capacitive sensing; Soil science; Soil horizon; Geology; Capacitive coupling; Acoustics; Materials science; Electrical engineering; Engineering; Soil water; Physics; Voltage","score_opus":0.025831237456330536,"score_gpt":0.26402836582875255,"score_spread":0.23819712837242202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066633707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69422245,0.00029983584,0.29785743,0.00007126603,0.00002123841,0.00013839769,0.0006233687,0.0015500109,0.005215981],"genre_scores_gemma":[0.8983016,0.00017263833,0.09998748,0.000023598765,0.0000074852633,0.000049891594,0.00018330872,0.000023324787,0.0012506656],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99978477,0.00003314733,0.0000073235665,0.000056737208,0.00009376016,0.000024301717],"domain_scores_gemma":[0.9997694,0.000055094155,0.000039880146,0.000047309957,0.00007465728,0.000013678621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013295443,0.00032176153,0.0001964224,0.0007703225,0.00012738998,0.00032294504,0.00038473727,0.00030911952,0.001159865],"category_scores_gemma":[0.00032481313,0.00021166769,0.00012892473,0.00069005333,0.0001446309,0.00032439316,0.0003515604,0.00016523096,0.00034355652],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012131809,0.000057762787,0.0075688963,0.00008596589,0.000012937683,0.00008985124,0.00014033153,0.005547108,0.86564666,0.0003665635,0.00028081203,0.12008181],"study_design_scores_gemma":[0.00006363455,0.00137092,0.09856656,0.00005129737,0.000070640854,0.0010587826,0.00041427737,0.23861456,0.648498,0.0012335344,0.00995027,0.00010757729],"about_ca_topic_score_codex":0.0016285162,"about_ca_topic_score_gemma":0.0034284682,"teacher_disagreement_score":0.0016285162,"about_ca_system_score_codex":0.00017316034,"about_ca_system_score_gemma":0.00022601699,"threshold_uncertainty_score":0.0038802028},"labels":[],"label_agreement":null},{"id":"W2067665487","doi":"10.1190/1.2147886","title":"Integrated geophysical method for characterizing hydro‐stratigraphy at a contaminated site","year":2005,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geoscience BC","funders":"","keywords":"Bedrock; Geology; Penetrometer; Borehole; Stratigraphy; Ground-penetrating radar; Seismic refraction; Geophysics; Seismology; Mining engineering; Tectonics; Geomorphology; Paleontology; Computer science; Soil science","score_opus":0.012853455020357058,"score_gpt":0.26768906775567736,"score_spread":0.2548356127353203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067665487","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06648879,0.00013964565,0.9265435,0.000037823447,0.000032446005,0.00014581562,0.0021801882,0.0017445964,0.0026870815],"genre_scores_gemma":[0.34665555,0.0001821901,0.6487417,0.000037621263,0.000018702047,0.00038622928,0.0024563377,0.00011052234,0.0014110666],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995297,0.00006357275,0.000039864048,0.00012470502,0.0002018828,0.000040277217],"domain_scores_gemma":[0.99929976,0.00009800985,0.00010290492,0.00015324925,0.00030114508,0.000044876197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050212344,0.0004664133,0.0004224656,0.0030121803,0.00020295753,0.00065411255,0.0006114877,0.00036910092,0.0020940118],"category_scores_gemma":[0.0013279432,0.00021284574,0.00028872918,0.0021017133,0.00019618527,0.0006745077,0.00086864416,0.00047184047,0.00077349215],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003985439,0.0002977765,0.078125864,0.0002591456,0.00020337001,0.00021415661,0.00047903642,0.03182081,0.1209083,0.0066322484,0.005487614,0.755173],"study_design_scores_gemma":[0.0001362292,0.00030093823,0.1171263,0.00009482292,0.00028743673,0.0011612359,0.00065880816,0.7819928,0.06814493,0.007247132,0.02269313,0.0001562163],"about_ca_topic_score_codex":0.0025069213,"about_ca_topic_score_gemma":0.0047594737,"teacher_disagreement_score":0.0030121803,"about_ca_system_score_codex":0.00029836752,"about_ca_system_score_gemma":0.0008247253,"threshold_uncertainty_score":0.007005155},"labels":[],"label_agreement":null},{"id":"W2067941349","doi":"10.1617/s11527-013-0093-6","title":"In situ assessment of structural timber using non-destructive techniques","year":2013,"lang":"en","type":"article","venue":"Materials and Structures","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":131,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Nondestructive testing; Ground-penetrating radar; Identification (biology); Forensic engineering; Engineering; Visual inspection; Construction engineering; Solid mechanics; Concrete cover; Civil engineering; Computer science; Radar; Structural engineering; Reinforced concrete; Artificial intelligence; Materials science","score_opus":0.009355665801729283,"score_gpt":0.2969831037626927,"score_spread":0.2876274379609634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067941349","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82947874,0.00068542076,0.16267872,0.000043958597,0.000029793357,0.00006145543,0.00034081851,0.00021231794,0.006468873],"genre_scores_gemma":[0.9334307,0.0005418997,0.06263718,0.000036218804,0.000024546353,0.0000459191,0.00021532475,0.00003827694,0.0030300266],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997681,0.000027070544,0.0000082654715,0.00004243866,0.00013416074,0.000020044636],"domain_scores_gemma":[0.9997024,0.00012568287,0.000037261074,0.000026897229,0.00009429546,0.000013474091],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002524061,0.0004391835,0.00028429207,0.00066883076,0.00027677813,0.0004689459,0.00047943706,0.00047663512,0.0009746342],"category_scores_gemma":[0.00031650238,0.00030393014,0.00012701009,0.00038998327,0.00036282538,0.0007610509,0.00037597746,0.0003108173,0.0003449755],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000083905186,0.00007500182,0.0065087196,0.0001399129,0.000015903444,0.000109590386,0.00019816021,0.0029071537,0.9636803,0.00026318818,0.00012801605,0.025890227],"study_design_scores_gemma":[0.000022438793,0.00037533135,0.090765454,0.000046362442,0.00013505506,0.0015841597,0.0011009595,0.08633632,0.814149,0.0015155404,0.0039066235,0.000062707564],"about_ca_topic_score_codex":0.000732525,"about_ca_topic_score_gemma":0.0048919865,"teacher_disagreement_score":0.0009746342,"about_ca_system_score_codex":0.00014186378,"about_ca_system_score_gemma":0.00019010727,"threshold_uncertainty_score":0.0032604337},"labels":[],"label_agreement":null},{"id":"W2068445687","doi":"10.1016/j.cemconres.2003.10.025","title":"Effect of crack opening on the local diffusion of chloride in inert materials","year":2003,"lang":"en","type":"article","venue":"Cement and Concrete Research","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":117,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Chloride; Materials science; Crack closure; Composite material; Diffusion; Inert; Perpendicular; Expansive; Crack growth resistance curve; Ultimate tensile strength; Fracture (geology); Fracture mechanics; Metallurgy; Compressive strength; Chemistry; Geometry; Thermodynamics","score_opus":0.03742545325128258,"score_gpt":0.34375680516073914,"score_spread":0.30633135190945654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068445687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99875045,0.00034119785,0.0003012248,0.000026525799,0.000006994641,0.000003643072,0.00006007536,0.000026704744,0.00048318013],"genre_scores_gemma":[0.9992828,0.00012762797,0.0001899074,0.000008969218,0.0000041228172,0.0000021502524,0.00004492935,0.00001728773,0.00032224582],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998404,0.000022376655,0.000010618986,0.00004530225,0.000032428437,0.00004887548],"domain_scores_gemma":[0.99799407,0.0012951219,0.00025226944,0.00012856163,0.00016531364,0.00016473542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003251096,0.00022818403,0.00034202466,0.00022624641,0.00016360363,0.00061916973,0.00031906943,0.00040186624,0.002185385],"category_scores_gemma":[0.0012661663,0.00024153636,0.0002191466,0.00014046537,0.00064642535,0.0006172136,0.00039704732,0.0006746565,0.00026871613],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023596752,0.000056930352,0.0009732096,0.00009445845,0.000011527704,0.00013063142,0.000080347316,0.0011163199,0.99282736,0.000104612925,0.000045939592,0.0021990102],"study_design_scores_gemma":[0.000044592773,0.0006165014,0.0031335405,0.000006034147,0.000019553208,0.00005136857,0.000050916977,0.0036665944,0.9921233,0.00003850731,0.00023736284,0.000011755081],"about_ca_topic_score_codex":0.0010935018,"about_ca_topic_score_gemma":0.0012438624,"teacher_disagreement_score":0.002185385,"about_ca_system_score_codex":0.0003523748,"about_ca_system_score_gemma":0.00022405418,"threshold_uncertainty_score":0.0073108077},"labels":[],"label_agreement":null},{"id":"W2069454077","doi":"10.1121/1.1470507","title":"Nondestructive imaging of shallow buried objects using acoustic computed tomography","year":2002,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Microstructural Sciences; Western University","funders":"","keywords":"Acoustics; Tomography; Line (geometry); Interpolation (computer graphics); SIGNAL (programming language); Geology; Noise (video); Nondestructive testing; Optics; Computer science; Physics; Image (mathematics); Computer vision; Geometry; Mathematics","score_opus":0.013919704245895176,"score_gpt":0.24147830760218944,"score_spread":0.22755860335629427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069454077","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18386354,0.0014753715,0.8121118,0.00021974639,0.000019288716,0.00007890782,0.00010214021,0.00040436906,0.0017248748],"genre_scores_gemma":[0.45213062,0.0010443806,0.54593045,0.000033095996,0.000012569024,0.000052051124,0.00007864111,0.000022422464,0.0006958819],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99972504,0.000047222846,0.000010059628,0.00003508488,0.00016957243,0.000013083619],"domain_scores_gemma":[0.99952793,0.00022567085,0.00006569081,0.0000836412,0.00007526591,0.000021847449],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041354843,0.00034996335,0.00026469576,0.0006664066,0.0001753594,0.00057834305,0.00052854914,0.00031672517,0.0005108913],"category_scores_gemma":[0.001788994,0.00031806412,0.0001504899,0.0005104805,0.0007514761,0.00071250205,0.0006917327,0.00027545163,0.0001224056],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031616582,0.00005114052,0.007031021,0.00032624757,0.00003499194,0.0003939316,0.00032285086,0.052734308,0.6655616,0.005501295,0.00042203063,0.26730445],"study_design_scores_gemma":[0.00009711772,0.000345782,0.019463347,0.00011934036,0.00010122683,0.0029571478,0.00028835138,0.6350184,0.32590786,0.0077425167,0.0078261215,0.00013273723],"about_ca_topic_score_codex":0.001901224,"about_ca_topic_score_gemma":0.003815431,"teacher_disagreement_score":0.001901224,"about_ca_system_score_codex":0.00045582332,"about_ca_system_score_gemma":0.0005537861,"threshold_uncertainty_score":0.0037803054},"labels":[],"label_agreement":null},{"id":"W2069946756","doi":"10.1121/1.4805196","title":"A Canadian perspective on forensic science versus pseudoscience","year":2013,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pseudoscience; Presentation (obstetrics); Accreditation; Forensic science; Perspective (graphical); Commission; Law; Psychology; Engineering ethics; Political science; Computer science; Medicine; Engineering; Alternative medicine","score_opus":0.011965440104544957,"score_gpt":0.26433148965031705,"score_spread":0.2523660495457721,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069946756","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014313228,0.06286184,0.002398565,0.79311943,0.0076780617,0.00003214206,0.0001957672,0.00003818763,0.1322447],"genre_scores_gemma":[0.19972543,0.16381733,0.010462962,0.5225305,0.010141904,0.00011583616,0.00023779325,0.00019738474,0.09277093],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.97870094,0.0044358135,0.0006488483,0.0019727405,0.010173273,0.0040683877],"domain_scores_gemma":[0.97370195,0.008426156,0.00073953246,0.00051566964,0.0137493545,0.0028673352],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.015684888,0.001083371,0.0010792438,0.0055363853,0.036434468,0.018544056,0.00528576,0.016708033,0.011327128],"category_scores_gemma":[0.02263843,0.0006651224,0.0009814216,0.007529283,0.045891613,0.009738734,0.005946862,0.017250827,0.0011737394],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00001370745,0.000007118782,0.00029969774,0.00020548266,0.000006275757,0.00027239363,0.0055249375,0.00017946701,0.00014371813,0.7915932,0.18695098,0.014803002],"study_design_scores_gemma":[0.0000074012783,0.000010542366,0.00084817567,0.0008493579,0.00001519749,0.00029784557,0.008312555,0.0002245368,0.00013203766,0.067445286,0.9217734,0.0000837493],"about_ca_topic_score_codex":0.97292286,"about_ca_topic_score_gemma":0.984322,"teacher_disagreement_score":0.9635655,"about_ca_system_score_codex":0.17670578,"about_ca_system_score_gemma":0.22774589,"threshold_uncertainty_score":0.9549046},"labels":[],"label_agreement":null},{"id":"W2070317036","doi":"10.2113/jeeg17.1.1","title":"Historical Development and Performance of Airborne Magnetic and Electromagnetic Systems for Mapping and Detection of Unexploded Ordnance","year":2012,"lang":"en","type":"article","venue":"Journal of Environmental and Engineering Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Systems, Applications & Products in Data Processing (Canada)","funders":"Environmental Security Technology Certification Program; Battelle","keywords":"Unexploded ordnance; Magnetometer; Remote sensing; Geology; Boom; Environmental science; Earth science; Aerospace engineering; Engineering; Oceanography; Magnetic field","score_opus":0.006725561777762277,"score_gpt":0.15782885704878885,"score_spread":0.15110329527102656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070317036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7458478,0.0573737,0.118517116,0.0015656609,0.00031138962,0.00034580784,0.002322881,0.001141603,0.072574],"genre_scores_gemma":[0.8636087,0.015679805,0.11355508,0.00028730152,0.00018160847,0.00008841795,0.0015890155,0.00008891736,0.004921158],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985077,0.0003149751,0.00013361391,0.00045075995,0.00049841416,0.000094478746],"domain_scores_gemma":[0.9925162,0.0013045506,0.00050972495,0.00039427637,0.0050781695,0.00019706393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039743986,0.00051763275,0.00026317206,0.0022719642,0.00051345996,0.0013054059,0.00088738796,0.00050553604,0.0013586306],"category_scores_gemma":[0.003926634,0.00028625468,0.00020137324,0.0020733234,0.0007748396,0.0011194246,0.0006077972,0.00058087095,0.00059707236],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053414435,0.0003008103,0.17327923,0.0013563613,0.00019803,0.00026327846,0.0006341294,0.01206722,0.06660824,0.007413442,0.0039935345,0.7333515],"study_design_scores_gemma":[0.00008741498,0.0039713564,0.39622664,0.0011956731,0.00044440638,0.0030327523,0.0014748668,0.031185035,0.27889943,0.0030015663,0.2802513,0.0002295587],"about_ca_topic_score_codex":0.005144019,"about_ca_topic_score_gemma":0.0046665464,"teacher_disagreement_score":0.005144019,"about_ca_system_score_codex":0.0014568439,"about_ca_system_score_gemma":0.00070276624,"threshold_uncertainty_score":0.021018863},"labels":[],"label_agreement":null},{"id":"W2071018450","doi":"10.1190/1.1859698","title":"Cone-based geophysical imaging: A proposed solution to a challenging problem","year":2005,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; BC Hydro","keywords":"Geophysical imaging; Geophysics; Cone (formal languages); Geology; Computer science; Algorithm","score_opus":0.018285203505610585,"score_gpt":0.26441107452320844,"score_spread":0.24612587101759786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071018450","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017421998,0.0003478554,0.9947207,0.0009659531,0.00011244636,0.000039591632,0.000038195787,0.00017826271,0.0018548183],"genre_scores_gemma":[0.07902007,0.0015236448,0.91198653,0.0005015222,0.0005008028,0.00015242225,0.00018548663,0.00009860256,0.0060309325],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993123,0.00019260075,0.000025301624,0.00014651594,0.0002564272,0.00006681939],"domain_scores_gemma":[0.99893326,0.00025404984,0.000060611932,0.00017489004,0.0004912923,0.000085870095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013641352,0.00091463584,0.0010365379,0.00088658766,0.00079297123,0.0022961774,0.002714247,0.0027697168,0.0032475898],"category_scores_gemma":[0.0032605196,0.00051803305,0.0006948976,0.0012912842,0.0011935954,0.002234136,0.0023866165,0.0021450715,0.0013181895],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021735908,0.00020957291,0.0022978317,0.00022477676,0.00008440446,0.000399509,0.00027202346,0.18115358,0.015293042,0.15521926,0.018671412,0.62595725],"study_design_scores_gemma":[0.000028489652,0.000059047976,0.00020704864,0.000022499484,0.000016428243,0.00030488038,0.00005192264,0.962404,0.0011064651,0.027348328,0.008423048,0.000027716595],"about_ca_topic_score_codex":0.004072485,"about_ca_topic_score_gemma":0.0031558191,"teacher_disagreement_score":0.004072485,"about_ca_system_score_codex":0.0005129238,"about_ca_system_score_gemma":0.0015734597,"threshold_uncertainty_score":0.010864258},"labels":[],"label_agreement":null},{"id":"W2071086614","doi":"10.1111/j.1502-3885.2008.00024.x","title":"Ground‐penetrating radar study of Pleistocene ice scours on a glaciolacustrine sequence boundary","year":2008,"lang":"en","type":"article","venue":"Boreas","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Geology; Outcrop; Ground-penetrating radar; Pleistocene; Geomorphology; Sedimentology; Paleontology; Glacial period; Seabed gouging by ice; Shore; Glacial lake; Oceanography; Antarctic sea ice; Sea ice; Arctic ice pack; Radar","score_opus":0.044517926005406376,"score_gpt":0.28495054033687905,"score_spread":0.24043261433147267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071086614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995425,0.000015152583,0.00001959385,0.000004864975,5.694801e-7,0.0000013148838,0.000053711963,0.0000017617723,0.0003605062],"genre_scores_gemma":[0.9991509,0.00003549806,0.00007619383,0.000008861473,0.0000014511916,0.0000015814642,0.00030975143,0.0000019307113,0.00041389125],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999782,0.0000017482755,7.7822455e-7,0.0000050416566,0.000005820137,0.000008392899],"domain_scores_gemma":[0.99994063,0.0000062228646,0.000012299459,0.0000032328717,0.000021518192,0.000016105456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006268491,0.0001297545,0.00010857423,0.0003985695,0.00037228546,0.00025353368,0.00007987285,0.00014520521,0.00046714811],"category_scores_gemma":[0.00012321785,0.000090726586,0.00007039866,0.0003854647,0.00024353639,0.00008575546,0.00017498893,0.00014196771,0.00010651364],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024029295,0.0000936076,0.9056683,0.000040808933,0.00003637415,0.0024270974,0.00484625,0.00068477186,0.07209001,0.0001292141,0.00042854887,0.01331472],"study_design_scores_gemma":[0.0000016488061,0.000018785073,0.9990375,0.0000019327301,0.0000019907204,0.00006577659,0.00028513905,0.00009062871,0.00022781208,0.0000029105088,0.0002649384,9.432589e-7],"about_ca_topic_score_codex":0.08915519,"about_ca_topic_score_gemma":0.17573479,"teacher_disagreement_score":0.08915519,"about_ca_system_score_codex":0.00047053254,"about_ca_system_score_gemma":0.00032233048,"threshold_uncertainty_score":0.1772725},"labels":[],"label_agreement":null},{"id":"W2071261760","doi":"10.1190/1.1852776","title":"Approximate apparent conductance (or conductivity) from the realizable moments of the impulse response","year":2005,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Impulse response; Conductance; Conductivity; Impulse (physics); Mathematics; Mathematical analysis; Physics; Condensed matter physics; Classical mechanics; Quantum mechanics","score_opus":0.02433270585145276,"score_gpt":0.253263161505774,"score_spread":0.22893045565432124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071261760","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03755735,0.0001504379,0.95883876,0.00009576789,0.00002533493,0.000015775644,0.0000670485,0.0003153595,0.0029341732],"genre_scores_gemma":[0.85895944,0.00036433493,0.13837858,0.000051433533,0.000055442448,0.00005522161,0.00018031201,0.00012747684,0.0018277584],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981505,0.000060017926,0.000007785166,0.00003939632,0.000057837755,0.000019999386],"domain_scores_gemma":[0.99906594,0.0006024971,0.00008185294,0.00015145337,0.00006715327,0.000031101754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004693913,0.0004973983,0.0005152713,0.00058307115,0.00018535348,0.0007674024,0.0007314626,0.0004917104,0.002004407],"category_scores_gemma":[0.0046239467,0.00027895602,0.00038350854,0.00028474836,0.0007593901,0.0016561695,0.00047887117,0.0007449481,0.0005214842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018545498,0.000045897374,0.0014110098,0.00022303552,0.000053055966,0.00024758067,0.00016602609,0.73136085,0.027172234,0.18162341,0.001258281,0.05625318],"study_design_scores_gemma":[0.0000044780672,0.000017573691,0.0002464353,0.0000112067855,0.0000051280667,0.00006998766,0.000011497575,0.9456878,0.0022686613,0.05086171,0.00080665544,0.000008949505],"about_ca_topic_score_codex":0.00075610564,"about_ca_topic_score_gemma":0.00086605817,"teacher_disagreement_score":0.002004407,"about_ca_system_score_codex":0.00041705885,"about_ca_system_score_gemma":0.00028791497,"threshold_uncertainty_score":0.006705463},"labels":[],"label_agreement":null},{"id":"W2071557975","doi":"10.3141/1795-07","title":"Phenomena and Conditions in Bridge Decks That Confound Ground-Penetrating Radar Data Analysis","year":2002,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Ground-penetrating radar; Bridge deck; Deck; Bridge (graph theory); Asphalt; Asphalt concrete; Environmental science; Forensic engineering; Civil engineering; Geotechnical engineering; Engineering; Computer science; Radar; Structural engineering; Telecommunications; Geography","score_opus":0.20603059488841044,"score_gpt":0.40694999607083504,"score_spread":0.2009194011824246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071557975","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.961414,0.00081571913,0.03363328,0.00020187943,0.000058837002,0.0000835329,0.000186833,0.00022176623,0.0033842123],"genre_scores_gemma":[0.9852073,0.0004987764,0.013358015,0.00017260328,0.000055052536,0.000030725303,0.00020734845,0.000054247586,0.00041584185],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99753666,0.0007386756,0.00022805262,0.00032191875,0.000981289,0.00019331682],"domain_scores_gemma":[0.9898934,0.0066032037,0.00152426,0.0009105949,0.0009244571,0.00014405635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034229432,0.00023454559,0.00041202697,0.0011273983,0.00047733332,0.0011344202,0.00023116721,0.00059162796,0.00055615354],"category_scores_gemma":[0.018371552,0.00024686,0.00024357888,0.0014170571,0.0008848697,0.00069236214,0.0009560547,0.00044697404,0.0002813857],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008071,0.00022599052,0.5908124,0.00074061326,0.00012876044,0.011200736,0.005033551,0.011171593,0.14274012,0.0032807228,0.0030189713,0.2308394],"study_design_scores_gemma":[0.000025894673,0.00035964005,0.90243423,0.00013872566,0.00015977814,0.012848731,0.004035554,0.014295463,0.05490227,0.0026801592,0.0080588935,0.000060549817],"about_ca_topic_score_codex":0.0013886833,"about_ca_topic_score_gemma":0.003809093,"teacher_disagreement_score":0.0034229432,"about_ca_system_score_codex":0.00038892255,"about_ca_system_score_gemma":0.0003153037,"threshold_uncertainty_score":0.018102467},"labels":[],"label_agreement":null},{"id":"W2071849362","doi":"10.7733/jnfcwt.2014.12.2.107","title":"Overseas Review on the In-situ Demonstration of EBS for IN-DEBS Development","year":2014,"lang":"en","type":"article","venue":"Journal of the Nuclear Fuel Cycle and Waste Technology(JNFCWT)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Test (biology); In situ; Computer science; Construction engineering; Environmental science; Engineering; Geology; Meteorology; Geography","score_opus":0.010669294423193015,"score_gpt":0.2313244064523775,"score_spread":0.2206551120291845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071849362","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0038003768,0.95806354,0.0034188635,0.0009708068,0.001573176,0.000120013,0.00048747592,0.0000710793,0.031494606],"genre_scores_gemma":[0.013865219,0.97165626,0.0026434779,0.00074131874,0.00031241728,0.00008395336,0.00057863415,0.000033610228,0.010085064],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99892575,0.0001900941,0.00014626748,0.00012040256,0.00053148426,0.000086053486],"domain_scores_gemma":[0.9984958,0.00036266103,0.0002176672,0.00006837559,0.00079585984,0.000059654405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016970597,0.00076737726,0.0007812231,0.0029780993,0.00046177817,0.0012620811,0.00080818986,0.0008668181,0.008771921],"category_scores_gemma":[0.0016036219,0.00029435792,0.00082382443,0.0032695415,0.0003599308,0.0015304514,0.00076136424,0.00063334446,0.0030032047],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018856644,0.00011604552,0.00106901,0.07547523,0.00021644769,0.0008099665,0.00047296615,0.0011754694,0.03144584,0.0089925155,0.07100432,0.8090337],"study_design_scores_gemma":[0.0000055341156,0.00014754625,0.0012071949,0.0030380136,0.00016590368,0.00039290806,0.00021786673,0.000086747146,0.0074310694,0.0004208307,0.9868694,0.000016983107],"about_ca_topic_score_codex":0.0025729868,"about_ca_topic_score_gemma":0.004645485,"teacher_disagreement_score":0.008771921,"about_ca_system_score_codex":0.0006229645,"about_ca_system_score_gemma":0.0030542775,"threshold_uncertainty_score":0.029345036},"labels":[],"label_agreement":null},{"id":"W2072012365","doi":"10.1016/s0037-0738(01)00059-8","title":"Ground penetrating radar facies of the paraglacial Cheekye Fan, southwestern British Columbia, Canada","year":2001,"lang":"en","type":"article","venue":"Sedimentary Geology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Geology; Facies; Alluvial fan; Bedrock; Ground-penetrating radar; Geomorphology; Sedimentology; Radar; Structural basin","score_opus":0.0069954441482964315,"score_gpt":0.1939204816487088,"score_spread":0.18692503750041237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072012365","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900793,0.00043373244,0.00012855559,0.0001409542,0.0000064723704,0.000022492506,0.002547067,0.000019564166,0.0066219233],"genre_scores_gemma":[0.9916888,0.0003453519,0.00029565554,0.000045373028,0.000001980926,0.000010440964,0.0012023563,0.00001291497,0.0063970494],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998281,0.000008308344,0.000009398556,0.00003091568,0.000052686424,0.000070507],"domain_scores_gemma":[0.99920684,0.00003592961,0.00005616642,0.000018625962,0.00059523527,0.00008718228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017109125,0.00022653241,0.0002483899,0.002194506,0.0023876126,0.0010884741,0.0006797765,0.00028816352,0.0034611432],"category_scores_gemma":[0.0006876503,0.00024882652,0.0001309164,0.003942048,0.0005574801,0.00033145174,0.00046580614,0.0003178692,0.0005387769],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016406097,0.000043503765,0.92510164,0.00010135051,0.000068064284,0.0005270901,0.0047017015,0.00092503004,0.0044537685,0.00047509442,0.0054756403,0.057962995],"study_design_scores_gemma":[0.000002427729,0.0000036828264,0.9953686,0.000022252116,0.00000798173,0.000041830765,0.0020509053,0.00028633344,0.000096024734,0.00002113088,0.002093041,0.00000590601],"about_ca_topic_score_codex":0.99511033,"about_ca_topic_score_gemma":0.99905664,"teacher_disagreement_score":0.010749747,"about_ca_system_score_codex":0.010749747,"about_ca_system_score_gemma":0.01005599,"threshold_uncertainty_score":0.07799518},"labels":[],"label_agreement":null},{"id":"W2072239155","doi":"10.1029/2006jf000585","title":"Geophysical mapping of ground ice using a combination of capacitive coupled resistivity and ground‐penetrating radar, Northwest Territories, Canada","year":2008,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"ArcticNet","keywords":"Ground-penetrating radar; Geology; Geophysics; Radar; Remote sensing; Electrical resistivity and conductivity; Geomorphology; Seismology; Physics","score_opus":0.04437841511502651,"score_gpt":0.29803176874643217,"score_spread":0.2536533536314057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072239155","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9688849,0.0011145506,0.006153372,0.00029326222,0.000020002246,0.0001373959,0.0041835825,0.00017453567,0.019038415],"genre_scores_gemma":[0.97883713,0.00074470503,0.011225225,0.000050258743,0.0000036368306,0.000024813913,0.0013380435,0.000021668193,0.007754544],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981767,0.0000087434755,0.000004985694,0.000037228354,0.000100064826,0.000031310035],"domain_scores_gemma":[0.99969566,0.000013043479,0.00002078522,0.000008485822,0.00023068956,0.00003138334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001800347,0.0002701954,0.00011863041,0.001040836,0.0011101163,0.00072705303,0.0003975228,0.00012436617,0.00083843304],"category_scores_gemma":[0.00032055916,0.00015695408,0.000099201716,0.0017800708,0.00029512504,0.00023834867,0.0003112814,0.00016605525,0.000161258],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001990817,0.00011778586,0.6209538,0.00023422437,0.00013475127,0.0007783719,0.0035624246,0.006088778,0.07120798,0.0010731374,0.006189636,0.28946003],"study_design_scores_gemma":[0.00001467129,0.000040974202,0.9654866,0.000047901543,0.00004369437,0.00023321151,0.0033721563,0.0077091474,0.006486066,0.00011217518,0.016421165,0.00003227843],"about_ca_topic_score_codex":0.98595876,"about_ca_topic_score_gemma":0.9960574,"teacher_disagreement_score":0.014041245,"about_ca_system_score_codex":0.005563286,"about_ca_system_score_gemma":0.011741591,"threshold_uncertainty_score":0.040364683},"labels":[],"label_agreement":null},{"id":"W2072450974","doi":"10.1520/gtj12189","title":"A Multi-purpose Platform for Horizontal Subsurface Investigation","year":2006,"lang":"en","type":"article","venue":"Geotechnical Testing Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Geotechnical engineering; Geology","score_opus":0.05368886723858832,"score_gpt":0.27148917585269666,"score_spread":0.21780030861410835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072450974","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30096567,0.00045528327,0.677114,0.00020837908,0.00020596983,0.00067018426,0.0010010964,0.010065465,0.009314011],"genre_scores_gemma":[0.6475024,0.00014448204,0.3444506,0.000087997505,0.00003776732,0.00043485282,0.00073820783,0.000101840575,0.0065018632],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997658,0.000029381143,0.000012220232,0.000048232858,0.00010907646,0.00003529256],"domain_scores_gemma":[0.9995982,0.00007413724,0.000055778226,0.00013116006,0.000090460446,0.000050283557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032493702,0.00034646163,0.0003228188,0.0004904381,0.00015457472,0.00030954508,0.0006942033,0.0003046159,0.0052706157],"category_scores_gemma":[0.00042272502,0.00020717432,0.0002205443,0.00031332712,0.00017750514,0.00054823724,0.0011998495,0.00029134672,0.0012050947],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006180572,0.0001143496,0.0042250934,0.00025502255,0.000032441534,0.00049632794,0.00010540025,0.0063041234,0.7162726,0.0055854395,0.004326276,0.2616648],"study_design_scores_gemma":[0.00026638983,0.005008017,0.019051837,0.00009125035,0.0001547674,0.003085447,0.00017623755,0.20290935,0.65540344,0.0035441534,0.11013534,0.00017379805],"about_ca_topic_score_codex":0.00028938314,"about_ca_topic_score_gemma":0.0004230969,"teacher_disagreement_score":0.0052706157,"about_ca_system_score_codex":0.00012413383,"about_ca_system_score_gemma":0.00033933995,"threshold_uncertainty_score":0.017632008},"labels":[],"label_agreement":null},{"id":"W2074628441","doi":"10.1109/aps.2004.1330417","title":"Cross-correlated back projection for UWB radar imaging","year":2004,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Computer science; Back projection; Radar imaging; Radar; Channel (broadcasting); Range (aeronautics); Artificial intelligence; Computer vision; Iterative reconstruction; SIGNAL (programming language); Remote sensing; Algorithm; Telecommunications; Geology; Engineering","score_opus":0.012735044676678317,"score_gpt":0.28751163342580055,"score_spread":0.27477658874912225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074628441","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0044832514,0.00029749994,0.99353,0.00005111508,0.000028552051,0.00001898497,0.000020063222,0.00035044164,0.0012200671],"genre_scores_gemma":[0.043679208,0.00061847485,0.9535537,0.00007033758,0.000041069987,0.000076020864,0.00015600878,0.00014445279,0.0016607945],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99961925,0.00010792164,0.000018479526,0.000049925187,0.00018755357,0.000016870694],"domain_scores_gemma":[0.99944454,0.00019777472,0.00004820274,0.000118086195,0.00016706891,0.000024280107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063907384,0.00066482835,0.0003636218,0.0006075705,0.00024396958,0.0007043066,0.0004998339,0.00061920244,0.0033709544],"category_scores_gemma":[0.0016134429,0.00034489413,0.0003726741,0.00078147254,0.0003951732,0.0007139283,0.0006819194,0.0009042067,0.0014009539],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020788112,0.0001255571,0.0007469428,0.00039206355,0.00011128666,0.00033287457,0.0001613748,0.078910306,0.15246002,0.06388426,0.005924951,0.6967425],"study_design_scores_gemma":[0.000034191835,0.00011893822,0.00086412707,0.000041359934,0.000042680527,0.0010416103,0.000030371082,0.8472446,0.119904175,0.010067319,0.020554593,0.000056029996],"about_ca_topic_score_codex":0.00044990156,"about_ca_topic_score_gemma":0.0006479844,"teacher_disagreement_score":0.0033709544,"about_ca_system_score_codex":0.00021458369,"about_ca_system_score_gemma":0.0005134649,"threshold_uncertainty_score":0.011276901},"labels":[],"label_agreement":null},{"id":"W2074856897","doi":"10.2136/vzj2010.0040","title":"Comparison of Petrophysical Relationships for Soil Moisture Estimation using GPR Ground Waves","year":2011,"lang":"en","type":"article","venue":"Vadose Zone Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":84,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Water content; Mean squared error; Soil science; Petrophysics; Empirical modelling; Ground-penetrating radar; Soil water; Mathematics; Statistics; Environmental science; Porosity; Geology; Geotechnical engineering; Radar","score_opus":0.13373666961436984,"score_gpt":0.3354579184993932,"score_spread":0.20172124888502338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074856897","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8660839,0.00030757207,0.13069992,0.00013666938,0.00001345426,0.000054737735,0.0003386177,0.00068830524,0.0016768326],"genre_scores_gemma":[0.95852226,0.00026343012,0.04049426,0.000022965663,0.000006565319,0.000040215036,0.00032948444,0.00009128853,0.00022962762],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99915814,0.00035967815,0.00006262943,0.0001028973,0.0002519308,0.00006467742],"domain_scores_gemma":[0.99749494,0.0015704556,0.00021287175,0.00027993097,0.00038867348,0.000053102594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030158153,0.0008124576,0.00036367797,0.0014912545,0.00015979761,0.00078906777,0.0008184957,0.00069886615,0.00052244763],"category_scores_gemma":[0.00998266,0.00041261181,0.0005125258,0.00080198655,0.00027727862,0.0014234695,0.00072640553,0.00046228376,0.00031403653],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000740357,0.00033851093,0.16013727,0.00037730107,0.0005134182,0.00055022567,0.00049194065,0.506986,0.08750566,0.0030685673,0.0008252362,0.23846558],"study_design_scores_gemma":[0.000021342184,0.00010047611,0.028398387,0.00002588776,0.000050800852,0.0001352896,0.00012543127,0.9521711,0.01773684,0.00050662266,0.00068005937,0.000047866106],"about_ca_topic_score_codex":0.0023820864,"about_ca_topic_score_gemma":0.0035221782,"teacher_disagreement_score":0.0030158153,"about_ca_system_score_codex":0.00037849857,"about_ca_system_score_gemma":0.00034050192,"threshold_uncertainty_score":0.015949368},"labels":[],"label_agreement":null},{"id":"W2075250815","doi":"10.1007/bf02481655","title":"Non-destructive evaluation of concrete moisture by GPR: Experimental study and direct modeling","year":2005,"lang":"en","type":"article","venue":"Materials and Structures","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":179,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Ground-penetrating radar; Radar; Moisture; Water content; Waveform; Geotechnical engineering; Materials science; Dielectric; Transmitter; Saturation (graph theory); Solid mechanics; Acoustics; Remote sensing; Geology; Engineering; Composite material; Telecommunications; Physics","score_opus":0.016547318212159743,"score_gpt":0.2920474090245981,"score_spread":0.2755000908124383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075250815","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.972091,0.000107249354,0.026893744,0.00001642941,0.000008733911,0.000028337518,0.00006421103,0.000062800435,0.0007274787],"genre_scores_gemma":[0.9943855,0.00009508745,0.005165198,0.000007107903,0.0000036045394,0.000012791188,0.00003610744,0.000009847963,0.00028484876],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995461,0.0001311082,0.000018742048,0.00008490644,0.00017403951,0.00004509506],"domain_scores_gemma":[0.99907815,0.0004976779,0.00008586412,0.00016215413,0.00014108457,0.00003499272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005904827,0.0005384989,0.00044683513,0.00025972817,0.00025190774,0.00028681252,0.00046984298,0.00056799385,0.00058182876],"category_scores_gemma":[0.0010585871,0.00027201037,0.00023786967,0.0002690876,0.00083326007,0.0007150017,0.0004656545,0.00033453523,0.00019271972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084054645,0.00046249042,0.0051571317,0.000105157575,0.000019528812,0.00013109358,0.0003141441,0.005220755,0.9694966,0.000541788,0.00010469109,0.01760608],"study_design_scores_gemma":[0.00009541702,0.0021138627,0.015058909,0.000011053962,0.00007390404,0.0007460746,0.00029286035,0.06372815,0.9167577,0.00049173296,0.0005919751,0.000038346254],"about_ca_topic_score_codex":0.0004544805,"about_ca_topic_score_gemma":0.0004814021,"teacher_disagreement_score":0.0005904827,"about_ca_system_score_codex":0.00020263308,"about_ca_system_score_gemma":0.00018111528,"threshold_uncertainty_score":0.0031228662},"labels":[],"label_agreement":null},{"id":"W2075873865","doi":"10.1177/1475921706067761","title":"Evaluation of Concrete Structures by the Acoustic Tomography Technique","year":2006,"lang":"en","type":"article","venue":"Structural Health Monitoring","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Tomography; Nondestructive testing; Acoustics; Quality (philosophy); Computer science; Optics; Physics","score_opus":0.022428849335263245,"score_gpt":0.3364417535170098,"score_spread":0.31401290418174654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075873865","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3824411,0.0015694328,0.60596484,0.00012702165,0.000041321196,0.00012934572,0.00017247173,0.00054738164,0.009007115],"genre_scores_gemma":[0.85971,0.0012202392,0.13649438,0.000023528994,0.000024878935,0.000058224265,0.00008910406,0.0000440362,0.0023356592],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99962115,0.00008029323,0.000013119303,0.00003695731,0.00022024225,0.000028194529],"domain_scores_gemma":[0.99935144,0.00025772513,0.00011278027,0.00004189374,0.00020354282,0.000032562875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004105686,0.00039887396,0.00019867801,0.0014593202,0.00022126002,0.00042643017,0.0002431378,0.00038054117,0.0015075984],"category_scores_gemma":[0.0017491183,0.0002378656,0.00016142047,0.0006306845,0.0005365724,0.0008547934,0.00050512137,0.00028844277,0.0003299762],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001994873,0.000040987663,0.0115459245,0.0001901703,0.000026563956,0.0004143146,0.00031487815,0.011491483,0.8257059,0.0028376642,0.00031790682,0.1469147],"study_design_scores_gemma":[0.000053250173,0.0017821969,0.07215257,0.00012822263,0.00012561816,0.008512369,0.0014171731,0.20772871,0.6875948,0.0049379007,0.015364084,0.00020307327],"about_ca_topic_score_codex":0.00097558793,"about_ca_topic_score_gemma":0.0013135881,"teacher_disagreement_score":0.0015075984,"about_ca_system_score_codex":0.00016047052,"about_ca_system_score_gemma":0.00036849445,"threshold_uncertainty_score":0.005043447},"labels":[],"label_agreement":null},{"id":"W2075891628","doi":"10.1080/09593332808618819","title":"Detection of Heavy Metal and Hydrocarbon Contamination using a Miniature Resistivity Probe","year":2007,"lang":"en","type":"article","venue":"Environmental Technology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Contamination; Electrical resistivity and conductivity; Hydrocarbon; Heavy metals; Metal; Environmental science; Environmental chemistry; Waste management; Environmental engineering; Chemistry; Materials science; Metallurgy; Engineering; Ecology; Electrical engineering; Biology","score_opus":0.006029447320250276,"score_gpt":0.2172623930944253,"score_spread":0.21123294577417503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075891628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8436653,0.0006736374,0.15155461,0.00026237607,0.000058547143,0.00013738616,0.00040811047,0.0007327021,0.002507408],"genre_scores_gemma":[0.9166984,0.00051349413,0.08047339,0.00009182811,0.000025748534,0.000091369926,0.00013992863,0.000019347357,0.0019465166],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999551,0.00010350754,0.000016728576,0.00012581155,0.00016826492,0.0000347496],"domain_scores_gemma":[0.99943227,0.0002508686,0.00014436056,0.000054683464,0.000089626454,0.000028152877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023179557,0.00030457642,0.0002383603,0.0004934911,0.00009970483,0.00027118562,0.00033312503,0.0005801022,0.00087769364],"category_scores_gemma":[0.0009900645,0.00018813527,0.00014073378,0.00030490066,0.00033283044,0.0004035244,0.0003132301,0.00030794088,0.00026478333],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000592361,0.000019071957,0.0017004891,0.000047672227,0.0000064521096,0.00008249286,0.00003983844,0.0002691939,0.98752326,0.00008057668,0.00006268333,0.010109001],"study_design_scores_gemma":[0.000018697148,0.0016964388,0.016412713,0.0000129628625,0.000027225342,0.001421585,0.00015532422,0.009612268,0.9666954,0.00014309355,0.0037646939,0.000039552957],"about_ca_topic_score_codex":0.0002406509,"about_ca_topic_score_gemma":0.00035377606,"teacher_disagreement_score":0.00087769364,"about_ca_system_score_codex":0.00011017432,"about_ca_system_score_gemma":0.000108462584,"threshold_uncertainty_score":0.002936244},"labels":[],"label_agreement":null},{"id":"W2076205138","doi":"10.2113/jeeg19.3.175","title":"Determining Ground Penetrating Radar Amplitude Thresholds for the Corrosion State of Reinforced Concrete Bridge Decks","year":2014,"lang":"en","type":"article","venue":"Journal of Environmental and Engineering Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kensington Health","funders":"National Institute of Standards and Technology; Massachusetts Department of Transportation; U.S. Department of Commerce","keywords":"Rebar; Ground-penetrating radar; Corrosion; Deck; Structural engineering; Bridge (graph theory); Bridge deck; Half-cell; Amplitude; Service life; Geotechnical engineering; Materials science; Geology; Environmental science; Radar; Engineering; Composite material; Optics; Telecommunications","score_opus":0.009763889999393432,"score_gpt":0.20930304442544279,"score_spread":0.19953915442604936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076205138","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978696,0.000039262257,0.0019128439,0.0000024553517,0.0000016950113,0.000007210915,0.00002019287,0.000012514027,0.00013423536],"genre_scores_gemma":[0.9983777,0.00002258836,0.0014548079,0.0000041665567,6.9675514e-7,0.0000040121995,0.000034698052,0.0000022515221,0.00009908953],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996662,0.00005863812,0.000024866904,0.000058010042,0.00014559196,0.000046615183],"domain_scores_gemma":[0.99911517,0.00027813896,0.00020028594,0.0000438293,0.00030678147,0.00005573963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055318,0.00027452558,0.00021826912,0.00074923434,0.000115557465,0.00035576237,0.00024807206,0.00043566857,0.00042690503],"category_scores_gemma":[0.0013602789,0.0001519158,0.00014036242,0.00025438404,0.00024795972,0.00022126632,0.00023299498,0.00019562525,0.0002061029],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004961473,0.00011481835,0.12819491,0.000063434425,0.000024184255,0.00022783066,0.00021497483,0.0018413403,0.8570435,0.000053160606,0.000041794377,0.011683907],"study_design_scores_gemma":[0.0000070511483,0.0010571893,0.68598676,0.000012177704,0.000034369452,0.00044627764,0.0005511169,0.013586247,0.29803133,0.00006346796,0.0002073714,0.000016702415],"about_ca_topic_score_codex":0.0008701821,"about_ca_topic_score_gemma":0.0012255459,"teacher_disagreement_score":0.0008701821,"about_ca_system_score_codex":0.00016955766,"about_ca_system_score_gemma":0.00009661237,"threshold_uncertainty_score":0.0029255152},"labels":[],"label_agreement":null},{"id":"W2076294277","doi":"10.1139/t09-088","title":"Measurement of electrical conductivity of pore water in saturated sandy soils using time domain reflectometry (TDR) measurements","year":2010,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Key Research and Development Program of China; Program for New Century Excellent Talents in University; National Natural Science Foundation of China","keywords":"Soil water; Electrical resistivity and conductivity; Reflectometry; Pore water pressure; Soil science; Infiltration (HVAC); Porosity; Hydraulic conductivity; Materials science; Water content; Soil test; Conductivity; Geotechnical engineering; Environmental science; Geology; Composite material; Time domain; Chemistry","score_opus":0.038878218839118586,"score_gpt":0.27470686572385156,"score_spread":0.23582864688473298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076294277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95350087,0.00028175712,0.045282096,0.000026043304,0.00000789732,0.00003420606,0.00017694251,0.00012811508,0.000562082],"genre_scores_gemma":[0.9729926,0.0003756674,0.026175933,0.000016555145,0.0000038041405,0.000029378336,0.00011811422,0.000008946747,0.0002790073],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997204,0.00005535847,0.000017843528,0.00006348702,0.0001205918,0.000022249684],"domain_scores_gemma":[0.9995592,0.00018471872,0.000109924236,0.000041195573,0.00008634044,0.00001844472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037704618,0.0002607151,0.00028274592,0.00045389473,0.000103943676,0.0002664817,0.00028496317,0.00025844193,0.0003458071],"category_scores_gemma":[0.0009073875,0.00016283839,0.00020504383,0.0005146575,0.00028256804,0.00044510426,0.00032603362,0.00018532362,0.00014011783],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000085495405,0.000024725527,0.0070234174,0.00010018988,0.000017341586,0.00006229955,0.000056654968,0.0013525524,0.9779604,0.00009160324,0.000036408455,0.013188854],"study_design_scores_gemma":[0.000030621668,0.0006944218,0.032874104,0.000014523675,0.000042526874,0.00062256306,0.00018855561,0.024945438,0.93930924,0.00032027412,0.00091298536,0.00004481601],"about_ca_topic_score_codex":0.00091233244,"about_ca_topic_score_gemma":0.0018472853,"teacher_disagreement_score":0.00091233244,"about_ca_system_score_codex":0.00015225819,"about_ca_system_score_gemma":0.000184814,"threshold_uncertainty_score":0.0019940138},"labels":[],"label_agreement":null},{"id":"W2077574044","doi":"10.1007/s10064-010-0264-4","title":"Geophysical characterization of the large-scale internal structure of a waste rock pile from a hard rock mine","year":2010,"lang":"en","type":"article","venue":"Bulletin of Engineering Geology and the Environment","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Pile; Geology; Borehole; Hydrogeology; Layering; Geotechnical engineering; Geophysics; Ground-penetrating radar; Stratification (seeds); Electrical resistivity tomography; Electrical resistivity and conductivity; Radar; Engineering","score_opus":0.0019518222228280882,"score_gpt":0.1538085689046482,"score_spread":0.15185674668182012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077574044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99792176,0.00001592576,0.0006376248,0.000046624053,0.000005043135,0.0000078449575,0.0002151159,0.00003308787,0.001117024],"genre_scores_gemma":[0.99904436,0.000013655464,0.00054869987,0.000009222538,0.0000044800313,0.0000030440444,0.0001480544,0.000004559766,0.00022391457],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999219,0.0000057432476,0.0000051100014,0.000014422806,0.000033858752,0.000018884184],"domain_scores_gemma":[0.99975306,0.00005234677,0.000038099577,0.00003912274,0.000047628426,0.00006962116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000099694844,0.00023187978,0.000343908,0.0011342992,0.00065774296,0.0003975692,0.0003863482,0.0006088733,0.00093517464],"category_scores_gemma":[0.00029862107,0.00021649181,0.0002887336,0.0007841147,0.0005457722,0.0003460424,0.00061860314,0.0005085846,0.00018450481],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00091257883,0.00045219465,0.3249304,0.00014621911,0.00010253928,0.008934298,0.0016284083,0.016594844,0.62399507,0.00037107724,0.0009011044,0.021031318],"study_design_scores_gemma":[0.000029285022,0.0002588411,0.96046454,0.000011542615,0.000056436947,0.001960407,0.0016465271,0.01499835,0.01946067,0.00019954497,0.00087675994,0.00003700297],"about_ca_topic_score_codex":0.0024116898,"about_ca_topic_score_gemma":0.003518085,"teacher_disagreement_score":0.0024116898,"about_ca_system_score_codex":0.00012881032,"about_ca_system_score_gemma":0.00031681696,"threshold_uncertainty_score":0.0047952533},"labels":[],"label_agreement":null},{"id":"W2078972262","doi":"10.1109/lgrs.2007.896323","title":"An Interacting Multiple-Model-Based Abrupt Change Detector for Ground-Penetrating Radar","year":2007,"lang":"en","type":"article","venue":"IEEE Geoscience and Remote Sensing Letters","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Ground-penetrating radar; Clutter; Detector; Radar; Remote sensing; Computer science; Surface roughness; Geology; Physics; Telecommunications","score_opus":0.03456771468752426,"score_gpt":0.29751900408969045,"score_spread":0.26295128940216617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078972262","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009006066,0.00016699944,0.9899469,0.00008236059,0.00004190347,0.000015718613,0.000023288765,0.00034905376,0.00036773545],"genre_scores_gemma":[0.40656024,0.0003729659,0.5899766,0.0003131991,0.00011957208,0.00007123883,0.00023445553,0.000057443474,0.002294324],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995047,0.00013152529,0.000018314377,0.000096914846,0.00020471295,0.000043792144],"domain_scores_gemma":[0.9991425,0.0003925216,0.0000733761,0.000116551746,0.00022292147,0.000051980856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010368826,0.0004872295,0.0007928824,0.0004472538,0.00029417555,0.0006449629,0.0012579443,0.0011086948,0.00070422306],"category_scores_gemma":[0.0019774025,0.00029237545,0.00049813284,0.00044210427,0.0004962291,0.0012382234,0.0008405929,0.0011997364,0.00049484184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006095587,0.00030289922,0.005701636,0.00027319192,0.00024505818,0.00067025697,0.00015773949,0.2951862,0.10105625,0.0357272,0.0049764994,0.5550935],"study_design_scores_gemma":[0.0000098977225,0.000114290066,0.0002683885,0.0000036990236,0.000016418804,0.00018007038,0.0000058840265,0.9881527,0.008465592,0.001498327,0.0012673108,0.000017533119],"about_ca_topic_score_codex":0.00034619187,"about_ca_topic_score_gemma":0.0005075683,"teacher_disagreement_score":0.0012579443,"about_ca_system_score_codex":0.00028156175,"about_ca_system_score_gemma":0.0004673737,"threshold_uncertainty_score":0.0054836273},"labels":[],"label_agreement":null},{"id":"W2079047883","doi":"10.1139/cgj-2014-0028","title":"Development of an early-warning time-of-failure analysis methodology for open-pit mine slopes utilizing ground-based slope stability radar monitoring data","year":2015,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":185,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of Windsor; Golder Associates (Canada); University of British Columbia","funders":"","keywords":"Deformation monitoring; Radar; Ground-penetrating radar; Displacement (psychology); Warning system; Geodetic datum; Slope stability; Geotechnical engineering; Geology; Deformation (meteorology); Remote sensing; Engineering; Geodesy","score_opus":0.1937491809068845,"score_gpt":0.3553315644928665,"score_spread":0.161582383585982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079047883","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026014812,0.000029307692,0.9730858,0.00001944036,0.000008458633,0.0000706346,0.000060715538,0.00036736266,0.00034345838],"genre_scores_gemma":[0.22116885,0.00006077367,0.7779257,0.000017469347,0.000011715553,0.00012092986,0.00020552232,0.000039557613,0.0004495284],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957687,0.000058770653,0.000036268477,0.00006900463,0.00023230794,0.00002675969],"domain_scores_gemma":[0.9989421,0.00022183979,0.00021122808,0.00007702891,0.0005088663,0.00003896297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008075663,0.00045228438,0.00030840538,0.0012368101,0.00020011704,0.0005024313,0.00068970426,0.00034332325,0.0005375835],"category_scores_gemma":[0.0022142618,0.0002361016,0.0003217502,0.00055150344,0.00019444533,0.00060995977,0.00042202082,0.00040215196,0.00021793494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012637071,0.00019039618,0.035374172,0.00020186974,0.00007803961,0.00024423606,0.00032572093,0.10815448,0.20628372,0.0054694437,0.0012807127,0.6422708],"study_design_scores_gemma":[0.000017738843,0.00020954704,0.013529633,0.000018437018,0.000024109897,0.00024030806,0.00010015228,0.92997223,0.051469374,0.0014245667,0.002953277,0.0000406021],"about_ca_topic_score_codex":0.002285923,"about_ca_topic_score_gemma":0.003545745,"teacher_disagreement_score":0.002285923,"about_ca_system_score_codex":0.00028026977,"about_ca_system_score_gemma":0.00096011267,"threshold_uncertainty_score":0.004545212},"labels":[],"label_agreement":null},{"id":"W2080085203","doi":"10.1190/1.1817486","title":"Subsurface imaging of a Maya plaza complex using ground penetrating radar (GPR) in Belize, Central America","year":2003,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Ground-penetrating radar; Maya; Geology; Radar; Radar imaging; Remote sensing; Mining engineering; Seismology; Archaeology; Computer science; Geography; Telecommunications","score_opus":0.02863377308376724,"score_gpt":0.2752482002261585,"score_spread":0.24661442714239123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080085203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98351383,0.0011792033,0.0018965715,0.00042602877,0.000012597284,0.00004452283,0.00061921263,0.00017372907,0.01213429],"genre_scores_gemma":[0.9955285,0.0003721091,0.0015453706,0.000054757635,0.000005678679,0.000009097361,0.00042001597,0.000008379172,0.0020560874],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99987805,0.000009561828,0.0000035119017,0.000029434757,0.000043799897,0.000035725665],"domain_scores_gemma":[0.99981385,0.000021536402,0.000034536923,0.000007768692,0.000099595185,0.000022615784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023354143,0.00025052618,0.00018877424,0.0017040004,0.0009423286,0.0006531632,0.0002685069,0.00022907536,0.0011551803],"category_scores_gemma":[0.00021794885,0.000182057,0.0001044527,0.0009552544,0.0005478883,0.0006027343,0.0005359897,0.00024381773,0.00023473307],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00133126,0.00041902458,0.5708774,0.0004031865,0.00019551288,0.0046506724,0.0068689133,0.004973113,0.18367854,0.0013077615,0.010588687,0.21470596],"study_design_scores_gemma":[0.000018540517,0.00010909585,0.98765403,0.00002676805,0.000041229687,0.00033858273,0.0022630088,0.0014657542,0.0028582378,0.00008831683,0.005118506,0.000017885353],"about_ca_topic_score_codex":0.288266,"about_ca_topic_score_gemma":0.52573025,"teacher_disagreement_score":0.288266,"about_ca_system_score_codex":0.001293981,"about_ca_system_score_gemma":0.0010283309,"threshold_uncertainty_score":0.5731762},"labels":[],"label_agreement":null},{"id":"W2081141868","doi":"10.1144/gsl.sp.2001.211.01.10","title":"Sedimentary architecture and radar facies of a fan delta, Cypress Creek, West Vancouver, British Columbia","year":2003,"lang":"en","type":"article","venue":"Geological Society London Special Publications","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Cypress; Facies; Delta; Geology; Architecture; Archaeology; Sedimentary rock; Geomorphology; Geochemistry; Geography; Engineering","score_opus":0.008960685373518636,"score_gpt":0.20874189324741466,"score_spread":0.19978120787389603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081141868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972607,0.00012529726,0.00007989154,0.000015372565,0.0000010523139,0.0000092024375,0.00053930446,0.000007362828,0.0019618403],"genre_scores_gemma":[0.99716187,0.00013666444,0.00027983112,0.000008300568,7.924397e-7,0.000004292321,0.000566396,0.0000026030941,0.0018391693],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998814,0.000007767453,0.0000057177717,0.00003017792,0.00004366479,0.00003126313],"domain_scores_gemma":[0.99972993,0.000015136474,0.000037480855,0.000008799522,0.00016853595,0.000040239094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000108368295,0.00016061318,0.00010281288,0.0013577925,0.000733819,0.00069063006,0.00021536012,0.00011644291,0.0012551921],"category_scores_gemma":[0.00031790044,0.00013220804,0.000061428065,0.0016912291,0.00029689536,0.00009203978,0.00023410904,0.00009161256,0.000190993],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006689451,0.000022442011,0.95809275,0.00003745988,0.00002550754,0.00042743966,0.00090562017,0.0004305157,0.004662878,0.00007536423,0.0008621678,0.03439095],"study_design_scores_gemma":[9.191898e-7,0.0000053275267,0.99887484,0.0000051605684,0.0000030631043,0.000051935072,0.00029563942,0.00014299707,0.00010788509,0.00000643503,0.00050436286,0.0000014394977],"about_ca_topic_score_codex":0.85755175,"about_ca_topic_score_gemma":0.96501523,"teacher_disagreement_score":0.14244825,"about_ca_system_score_codex":0.002347946,"about_ca_system_score_gemma":0.0012971164,"threshold_uncertainty_score":0.28657424},"labels":[],"label_agreement":null},{"id":"W2081177915","doi":"10.1121/1.4781627","title":"Numerical and experimental investigations of transformations of near-field to far-field scattering measurements","year":2006,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Near and far field; Scattering; Inversion (geology); Field (mathematics); Computational physics; Function (biology); Acoustics; Physics; Optics; Mathematics; Geology","score_opus":0.017707614486577435,"score_gpt":0.2642000147506134,"score_spread":0.24649240026403596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081177915","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87178224,0.00017062642,0.11871696,0.00020927469,0.000051924446,0.000067157365,0.00026527,0.0003455098,0.00839101],"genre_scores_gemma":[0.97266585,0.000092315764,0.026448628,0.00001119077,0.000004730488,0.000028441047,0.00014169866,0.000023596182,0.0005835304],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995782,0.00008708436,0.000022861404,0.000050285813,0.00023123666,0.000030337435],"domain_scores_gemma":[0.9975159,0.0016158861,0.00021345212,0.00024422468,0.00036528395,0.00004529043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011723791,0.0003689178,0.00022368047,0.00036090938,0.0003239435,0.0003205451,0.00043555314,0.00039515266,0.0012850937],"category_scores_gemma":[0.0052363398,0.00017381506,0.00022651361,0.0005445417,0.00079984084,0.0004545776,0.0003318267,0.00043016733,0.00015697697],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035772915,0.00027207463,0.005107509,0.00019141674,0.00002240441,0.0001395579,0.0004459922,0.817161,0.1279682,0.01185056,0.00052791607,0.035955597],"study_design_scores_gemma":[0.000012022044,0.00010789762,0.0015548908,0.000007700157,0.0000035707974,0.000040854156,0.000058091,0.9598848,0.037065104,0.0009083634,0.00034247275,0.0000142392055],"about_ca_topic_score_codex":0.0016859367,"about_ca_topic_score_gemma":0.0014322904,"teacher_disagreement_score":0.0016859367,"about_ca_system_score_codex":0.00039169606,"about_ca_system_score_gemma":0.00030139118,"threshold_uncertainty_score":0.0062001944},"labels":[],"label_agreement":null},{"id":"W2081576445","doi":"10.1108/01439910510593938","title":"Landmine detection using an autonomous terrain‐scanning robot","year":2005,"lang":"en","type":"article","venue":"Industrial Robot the international journal of robotics research and application","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; National Research Council Canada","funders":"","keywords":"Terrain; Mobile robot; Detector; Robot; Computer vision; Artificial intelligence; Computer science; Motion planning; Obstacle; Simulation; Engineering; Geography; Telecommunications","score_opus":0.14086774565348778,"score_gpt":0.39256937517183293,"score_spread":0.2517016295183452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081576445","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3477332,0.0004048237,0.6281186,0.00037301684,0.00010852883,0.00026676164,0.00013668997,0.0030376834,0.01982078],"genre_scores_gemma":[0.69238687,0.00015218314,0.29331833,0.0001395454,0.000023499984,0.00022600395,0.00019059013,0.00004507569,0.013517809],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998933,0.000012111885,0.0000040141654,0.000026350846,0.000049804374,0.0000143694],"domain_scores_gemma":[0.99989057,0.000015511872,0.000025126777,0.000018747918,0.000028785802,0.000021319614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008908118,0.00029573683,0.00019270684,0.0002558644,0.00031506873,0.00028435985,0.0005165982,0.00041339884,0.0027730498],"category_scores_gemma":[0.00020198764,0.00024937373,0.00023817332,0.00010317845,0.00025142878,0.00034979705,0.00043238988,0.0002786745,0.0008903866],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002873458,0.00022708454,0.0043847132,0.00029133592,0.000037892714,0.0007405666,0.00026872073,0.025444705,0.7221508,0.0055314032,0.0026231653,0.23801225],"study_design_scores_gemma":[0.00037657082,0.0027991482,0.016796058,0.00012036925,0.00013158607,0.005209353,0.00041702355,0.5944516,0.27771905,0.0057023987,0.09611563,0.00016127982],"about_ca_topic_score_codex":0.0008030499,"about_ca_topic_score_gemma":0.000810709,"teacher_disagreement_score":0.0027730498,"about_ca_system_score_codex":0.00015354922,"about_ca_system_score_gemma":0.00045355156,"threshold_uncertainty_score":0.009276748},"labels":[],"label_agreement":null},{"id":"W2082018295","doi":"10.1117/12.435596","title":"&lt;title&gt;Structural health monitoring of innovative bridge decks&lt;/title&gt;","year":2001,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University; University of Calgary; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Dalhousie University","keywords":"Slab; Deck; Cracking; Bridge deck; Structural engineering; Bridge (graph theory); Materials science; Delamination (geology); Geotechnical engineering; Forensic engineering; Engineering; Geology; Composite material; Seismology","score_opus":0.018379551283252308,"score_gpt":0.27157703121199445,"score_spread":0.25319747992874214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082018295","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91145295,0.0014544257,0.0338904,0.00066525757,0.00020228619,0.00015543803,0.0015293227,0.0009953581,0.04965462],"genre_scores_gemma":[0.9376347,0.0007152344,0.016929135,0.00007538388,0.000036009023,0.000029605051,0.00082415383,0.00007453008,0.043681245],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99994206,0.000004818065,0.0000017729556,0.000010888972,0.00003084316,0.000009552368],"domain_scores_gemma":[0.99983,0.00001698266,0.000018682762,0.000017248158,0.00009120412,0.00002584469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002147409,0.00013746339,0.00012632957,0.00046497895,0.00020658433,0.00034396615,0.00029231163,0.00020016285,0.0064972513],"category_scores_gemma":[0.00016659845,0.00007131217,0.00004719925,0.00027707277,0.0002436035,0.0002319689,0.00018981856,0.00018397708,0.0010667788],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065767445,0.00022045916,0.03245044,0.00025893853,0.000012732013,0.00045863513,0.00032322004,0.0063677914,0.53168684,0.002268502,0.014934711,0.41036004],"study_design_scores_gemma":[0.000057291152,0.0019731917,0.3155364,0.00011345002,0.000034829598,0.0010682507,0.0010997433,0.038583748,0.5581329,0.0024637943,0.080854125,0.000082261446],"about_ca_topic_score_codex":0.0032112722,"about_ca_topic_score_gemma":0.013601559,"teacher_disagreement_score":0.0064972513,"about_ca_system_score_codex":0.0004125908,"about_ca_system_score_gemma":0.00023069384,"threshold_uncertainty_score":0.02173549},"labels":[],"label_agreement":null},{"id":"W2082687610","doi":"10.1139/e06-073","title":"Nass River on the move: radar facies analysis of glaciofluvial sedimentation and its response to sea-level change in northwestern British Columbia","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Earth Sciences","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Simon Fraser University; AXYS Technologies (Canada)","funders":"","keywords":"Geology; Bedrock; Sea level; Fjord; Facies; Ridge; Sedimentary depositional environment; Geomorphology; Glacial period; Delta; Buttress; Paleontology; Bathymetry; Oceanography; Archaeology","score_opus":0.03244003273904369,"score_gpt":0.2555434217931908,"score_spread":0.2231033890541471,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082687610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99723685,0.00015153059,0.000043159205,0.0000733072,0.0000043177215,0.000008093381,0.0009096597,0.000012286772,0.0015607753],"genre_scores_gemma":[0.9954743,0.00016515309,0.00015841352,0.00005616715,0.0000022762626,0.000009575713,0.0013365038,0.000007784213,0.0027899225],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998061,0.000016643007,0.0000131142,0.00003940581,0.000062599975,0.00006215945],"domain_scores_gemma":[0.99936444,0.000047095287,0.00006623928,0.000020971038,0.00037436472,0.00012697672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019801325,0.00018149804,0.00022999741,0.0012839376,0.0010190984,0.0011220393,0.00039798502,0.0002728808,0.0021272616],"category_scores_gemma":[0.00082593726,0.00017844494,0.00018044062,0.0023603556,0.00038033587,0.00016188335,0.0003835994,0.00030664186,0.00031200514],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082457875,0.000035554294,0.9811879,0.00001889759,0.000042480588,0.00018519364,0.00084273994,0.00035843186,0.0020435045,0.00004006064,0.0011995772,0.013963142],"study_design_scores_gemma":[0.0000014212558,0.0000031506295,0.9986148,0.000004494235,0.000005084007,0.000018279286,0.00060239446,0.00020008047,0.00004420714,0.0000040111167,0.0004994588,0.0000026236523],"about_ca_topic_score_codex":0.9748303,"about_ca_topic_score_gemma":0.99238026,"teacher_disagreement_score":0.02516967,"about_ca_system_score_codex":0.006182003,"about_ca_system_score_gemma":0.003461163,"threshold_uncertainty_score":0.050635755},"labels":[],"label_agreement":null},{"id":"W2083677524","doi":"10.1190/1.1845108","title":"Multiple attenuation using the space‐time Radon transform and equivalent offset gathers","year":2004,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Attenuation; Offset (computer science); Radon; Computer science; Radon transform; Acoustics; Physics; Optics; Computer vision","score_opus":0.02193394650514648,"score_gpt":0.2550078160460314,"score_spread":0.2330738695408849,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083677524","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018087054,0.00007791091,0.9796424,0.00003847619,0.000016218644,0.000018212342,0.000039341772,0.0006062745,0.0014741872],"genre_scores_gemma":[0.1479048,0.00025507694,0.84883434,0.000030423136,0.00004390493,0.00004650287,0.00032246712,0.00025660676,0.0023058485],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955636,0.00008091843,0.000019851901,0.000073369745,0.00022630853,0.000043154887],"domain_scores_gemma":[0.9994394,0.00016486611,0.00008448087,0.00013475603,0.00014501662,0.00003145469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005760358,0.0007583903,0.00043605914,0.001225501,0.00031493028,0.00087861565,0.0007047182,0.00042870143,0.002231303],"category_scores_gemma":[0.0022560938,0.00038017528,0.00045855367,0.001255219,0.00050038187,0.0016569739,0.0012353496,0.0006106118,0.00082905655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046072347,0.00013634359,0.0038631146,0.00017321957,0.00007899334,0.0004211,0.0005929351,0.06434789,0.12331336,0.035256356,0.001976224,0.7693797],"study_design_scores_gemma":[0.00008647748,0.00039863453,0.0075042495,0.00006932172,0.0001414046,0.0017091569,0.00047645715,0.8126893,0.110723436,0.035729453,0.030335102,0.00013707258],"about_ca_topic_score_codex":0.0011690402,"about_ca_topic_score_gemma":0.002872916,"teacher_disagreement_score":0.002231303,"about_ca_system_score_codex":0.00020413306,"about_ca_system_score_gemma":0.0004499384,"threshold_uncertainty_score":0.0074644685},"labels":[],"label_agreement":null},{"id":"W2084059570","doi":"10.1016/j.jappgeo.2011.12.010","title":"Assessing the effects of insufficient rebar and missing grout in grouted rock bolts using guided ultrasonic waves","year":2012,"lang":"en","type":"article","venue":"Journal of Applied Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Grout; Rebar; Rock bolt; Geotechnical engineering; Geology; Ultrasonic sensor; Reflection (computer programming); Ground-penetrating radar; Structural engineering; Acoustics; Engineering; Computer science","score_opus":0.01830890940052595,"score_gpt":0.28643148639977994,"score_spread":0.268122576999254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084059570","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972874,0.00006585326,0.002456056,0.000008581749,0.000006528862,0.000010240278,0.000034863708,0.00002653331,0.000104015446],"genre_scores_gemma":[0.998711,0.00003828221,0.0010907117,0.000007505232,0.0000019737245,0.0000048735724,0.00003403858,0.000009314172,0.00010227007],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99920505,0.00017176832,0.00005521597,0.00014660855,0.00028009043,0.00014124966],"domain_scores_gemma":[0.9965012,0.002090081,0.000563271,0.00023086014,0.00045073105,0.00016387743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009284896,0.00054455025,0.0004088304,0.0006349882,0.00024473047,0.00073382666,0.00070568733,0.0010833791,0.001239552],"category_scores_gemma":[0.003980672,0.00042230636,0.0004457127,0.00047276067,0.0009052947,0.0007403426,0.00066958275,0.00048465893,0.00020851119],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.01670886,0.0014982908,0.20520382,0.0006619074,0.00039809698,0.0019741352,0.0010753633,0.09110945,0.6268545,0.00031945144,0.00025199898,0.053944156],"study_design_scores_gemma":[0.00017831173,0.009673359,0.48560455,0.0001283752,0.0011210387,0.001767375,0.0029479254,0.15269247,0.34461308,0.00035772947,0.00074557227,0.00017022577],"about_ca_topic_score_codex":0.0017779819,"about_ca_topic_score_gemma":0.0026820912,"teacher_disagreement_score":0.0017779819,"about_ca_system_score_codex":0.00032302542,"about_ca_system_score_gemma":0.00029446656,"threshold_uncertainty_score":0.0049104095},"labels":[],"label_agreement":null},{"id":"W2084685300","doi":"10.1051/matecconf/20130301072","title":"Measurement of local composition of organic materials within porous inorganic media using two-dimensional acoustic mapping","year":2013,"lang":"en","type":"article","venue":"MATEC Web of Conferences","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Porous medium; Acoustics; Ultrasonic sensor; Temporal resolution; Data acquisition; Porosity; Computer science; High resolution; Diffusion; Materials science; Geology; Remote sensing; Optics; Physics","score_opus":0.030218171359848438,"score_gpt":0.2375083076862034,"score_spread":0.20729013632635496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084685300","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9073445,0.00082811964,0.08826853,0.0001423983,0.00003296403,0.00005414767,0.00028435737,0.00042319435,0.0026216821],"genre_scores_gemma":[0.9230219,0.00063836563,0.07492333,0.000033156324,0.000015939253,0.000061313054,0.00010597161,0.000019862315,0.0011801091],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998976,0.000009499291,0.000005330358,0.000029465498,0.00004849846,0.0000095161295],"domain_scores_gemma":[0.9998306,0.00007335818,0.000045098604,0.000015126841,0.000022977749,0.000012825245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015090921,0.00019294089,0.00010451488,0.0004944757,0.00014820162,0.00028865735,0.0002009488,0.00029549445,0.00051940634],"category_scores_gemma":[0.0003433553,0.0001628258,0.00008293288,0.00022613643,0.00039918322,0.0003795251,0.0002895239,0.00022947563,0.00013169079],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019955683,0.000006387192,0.0003299885,0.00003319111,0.0000016076789,0.000015414147,0.000019578218,0.00015383007,0.9955147,0.00012354618,0.000015413456,0.0037664387],"study_design_scores_gemma":[0.00000797045,0.000052029405,0.0040014754,0.000004351655,0.0000069925563,0.0001626084,0.000042264845,0.009081825,0.9853694,0.00012963878,0.0011293306,0.000012097112],"about_ca_topic_score_codex":0.00040680243,"about_ca_topic_score_gemma":0.00077385525,"teacher_disagreement_score":0.00051940634,"about_ca_system_score_codex":0.00016118115,"about_ca_system_score_gemma":0.00013303293,"threshold_uncertainty_score":0.001737535},"labels":[],"label_agreement":null},{"id":"W2085112764","doi":"10.1029/2006ja011842","title":"East‐west and vertical spectral asymmetry associated with equatorial type I waves during strong electrojet conditions: 1. Pohnpei radar observations","year":2006,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Equatorial electrojet; Asymmetry; Geology; Electrojet; Radar; Physics; Geophysics; Seismology; Geodesy","score_opus":0.03341472533480235,"score_gpt":0.3064848145381953,"score_spread":0.273070089203393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085112764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998869,0.000047244997,0.00026812486,0.000013858129,0.0000038837647,0.0000030531412,0.00009022384,0.000007434684,0.0006971426],"genre_scores_gemma":[0.9994523,0.000040064206,0.00025324477,0.000008574303,0.000009198498,0.0000020753848,0.00013771134,0.000003804562,0.000093080766],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99991524,0.000009496099,0.0000055986015,0.000023582865,0.000020620562,0.000025449159],"domain_scores_gemma":[0.9996271,0.00008310102,0.00015696371,0.000027375545,0.000059159098,0.00004636654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015313762,0.00018132039,0.00018161611,0.0005579971,0.00023505221,0.0003286773,0.00015723193,0.00027984628,0.0005976577],"category_scores_gemma":[0.00063507474,0.00015801392,0.00007781165,0.00044622965,0.00026138016,0.00030042583,0.0003397326,0.00027997492,0.000113815375],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007111431,0.00010889778,0.7821408,0.00008934336,0.000074295625,0.0008895683,0.00040576226,0.0007359927,0.19197261,0.00028570392,0.00040411268,0.022181844],"study_design_scores_gemma":[0.000008875201,0.000048234007,0.99353725,0.000003997742,0.000013174943,0.00022478618,0.000080351805,0.0005250458,0.00528329,0.000038704962,0.00023043659,0.0000057950533],"about_ca_topic_score_codex":0.0014108636,"about_ca_topic_score_gemma":0.002642712,"teacher_disagreement_score":0.0014108636,"about_ca_system_score_codex":0.00012452909,"about_ca_system_score_gemma":0.0000952194,"threshold_uncertainty_score":0.002805233},"labels":[],"label_agreement":null},{"id":"W2085236989","doi":"10.1007/s10933-006-9048-z","title":"Geological and geophysical evidence for pre-Nipissing (&gt;5,000 years BP) transgression infilled valleys in the Lake Huron basin, Ontario","year":2006,"lang":"en","type":"article","venue":"Journal of Paleolimnology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"University of Guelph","keywords":"Geology; Bay; Shore; Drainage basin; Shelf ice; Marine transgression; Glacial lake; Hydrology (agriculture); Structural basin; Geomorphology; Archaeology; Oceanography; Glacial period; Geography; Cartography; Arctic","score_opus":0.03098910793197986,"score_gpt":0.29962563829726685,"score_spread":0.268636530365287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085236989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995285,0.00012073903,0.000068676185,0.000082938415,0.0000025191189,0.0000051108696,0.00018347599,0.000004464302,0.0042472407],"genre_scores_gemma":[0.9987596,0.00006080042,0.00009121915,0.0000143170155,0.0000013450559,0.000002650034,0.00013327344,0.0000019325628,0.0009348969],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998965,0.000009121206,0.000008627222,0.000021079679,0.000029611923,0.000035126282],"domain_scores_gemma":[0.9994266,0.00006116728,0.00017494205,0.000027877211,0.00021281117,0.000096677424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015212817,0.000081175676,0.00009020655,0.0008381012,0.0012564971,0.00075078,0.00035944235,0.00021493262,0.0021135884],"category_scores_gemma":[0.00073162257,0.00015494233,0.000086037646,0.0011554753,0.0012258529,0.00024338478,0.00060606556,0.0002202432,0.00016797421],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018991905,0.000026293385,0.94876766,0.000085864944,0.00003333121,0.0007925182,0.015331085,0.00034626367,0.013808778,0.0015957085,0.0006726829,0.018349905],"study_design_scores_gemma":[0.0000036499791,0.000008497583,0.9940356,0.000011890121,0.000007960596,0.00015249007,0.0025028184,0.00011405522,0.00027184788,0.000053786545,0.0028346279,0.0000027664335],"about_ca_topic_score_codex":0.74486727,"about_ca_topic_score_gemma":0.95532775,"teacher_disagreement_score":0.25513273,"about_ca_system_score_codex":0.0033091607,"about_ca_system_score_gemma":0.0038933854,"threshold_uncertainty_score":0.5132705},"labels":[],"label_agreement":null},{"id":"W2085542789","doi":"10.1088/0022-3727/41/20/205410","title":"Application of Jonscher model for the characterization of the dielectric permittivity of concrete","year":2008,"lang":"en","type":"article","venue":"Journal of Physics D Applied Physics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Permittivity; Characterization (materials science); Dielectric; Materials science; Dielectric permittivity; Composite material; Optoelectronics; Nanotechnology","score_opus":0.02332266978295561,"score_gpt":0.24007735146106837,"score_spread":0.21675468167811276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085542789","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035349302,0.00091413304,0.95532334,0.0001679951,0.000071982955,0.000049323815,0.00012379719,0.0003819999,0.0076182145],"genre_scores_gemma":[0.8260256,0.0029214541,0.15731463,0.00011885718,0.00008671149,0.0002392996,0.00036314875,0.00021776845,0.012712575],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992804,0.00022165877,0.000034455246,0.00013262725,0.00027257993,0.000058398553],"domain_scores_gemma":[0.99945575,0.0002640331,0.00006516047,0.00010118629,0.00009780729,0.0000160735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007314037,0.0011679388,0.00061032467,0.0011908493,0.000296798,0.0009225171,0.0012754567,0.0015295161,0.0011005569],"category_scores_gemma":[0.0022064974,0.00031564297,0.0011532316,0.0008990874,0.00074140483,0.00202206,0.0007823797,0.001019311,0.0011637699],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001444649,0.00013783149,0.002865381,0.00022838762,0.00006340923,0.000867712,0.00035630513,0.81373274,0.06272561,0.06999217,0.0012659461,0.04762006],"study_design_scores_gemma":[0.000007387486,0.00004918263,0.00045996174,0.00002140304,0.000013176527,0.00042806592,0.00005700357,0.97204775,0.009962185,0.014397938,0.0025175815,0.00003844433],"about_ca_topic_score_codex":0.0017469873,"about_ca_topic_score_gemma":0.0012558474,"teacher_disagreement_score":0.0017469873,"about_ca_system_score_codex":0.00056959863,"about_ca_system_score_gemma":0.00059213967,"threshold_uncertainty_score":0.0041327477},"labels":[],"label_agreement":null},{"id":"W2085599045","doi":"10.1007/s12517-014-1687-1","title":"Gamma and resistivity logs for characterization of Gondwana coal seams at the Northwestern part of Bangladesh","year":2014,"lang":"en","type":"article","venue":"Arabian Journal of Geosciences","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Atomic Energy (Canada)","funders":"","keywords":"Borehole; Geology; Coal mining; Coal; Lithology; Mining engineering; Well logging; Electrical resistivity and conductivity; Structural basin; Coal basin; Gondwana; Petrology; Petroleum engineering; Geophysics; Geotechnical engineering; Paleontology","score_opus":0.014558249691401072,"score_gpt":0.23591214079019288,"score_spread":0.2213538910987918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085599045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965605,0.00005465785,0.00047738256,0.00004296998,0.0000044485046,0.000012025691,0.00085159915,0.00003304636,0.00196339],"genre_scores_gemma":[0.9980002,0.000079003505,0.0005298286,0.000012071798,0.0000034143918,0.000011388473,0.0004454857,0.0000059197837,0.00091260957],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998958,0.000009201281,0.000013249768,0.000021198242,0.00003841784,0.00002215191],"domain_scores_gemma":[0.99978155,0.000032024214,0.00004237929,0.000017715345,0.00009671204,0.000029675233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014176063,0.00032499648,0.00017578849,0.0019417985,0.000478019,0.0006005181,0.00041858715,0.00052635564,0.0011177964],"category_scores_gemma":[0.00036295323,0.00017368286,0.00013739013,0.0014200257,0.00024105782,0.00035231214,0.00043174424,0.00025179272,0.00051573],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018464262,0.000100444195,0.92099684,0.00007991448,0.00003634068,0.0013429989,0.0020506321,0.004373622,0.04233275,0.0003251031,0.000695879,0.027480835],"study_design_scores_gemma":[0.00001563222,0.00006582704,0.982183,0.000029935634,0.000038866965,0.00049433694,0.0045133336,0.006501293,0.0040386026,0.00021799344,0.0018790229,0.00002230448],"about_ca_topic_score_codex":0.018359574,"about_ca_topic_score_gemma":0.03705781,"teacher_disagreement_score":0.018359574,"about_ca_system_score_codex":0.0002556998,"about_ca_system_score_gemma":0.00042669062,"threshold_uncertainty_score":0.0365054},"labels":[],"label_agreement":null},{"id":"W2085892103","doi":"10.3997/2214-4609.20141455","title":"Eliminating Blending Noise Using Fast Apex Shifted Hyperbolic Radon Transform","year":2014,"lang":"en","type":"article","venue":"Proceedings","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Radon transform; Noise (video); Interference (communication); Inversion (geology); Radon; Computer science; Operator (biology); Algorithm; Function (biology); Synthetic data; Computer vision; Image (mathematics); Physics; Geology; Telecommunications","score_opus":0.012611836805518556,"score_gpt":0.23538568294732937,"score_spread":0.2227738461418108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085892103","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011690927,0.000049333237,0.9872951,0.00004247967,0.000018310311,0.000016218972,0.000022843426,0.00025787286,0.0006068821],"genre_scores_gemma":[0.15778047,0.00020901712,0.8393429,0.00010809612,0.000043879605,0.000049874747,0.00023981144,0.00022732971,0.0019985517],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910754,0.00012885022,0.000059430633,0.00011916515,0.0005311057,0.0000539643],"domain_scores_gemma":[0.9993899,0.00015500534,0.000097238924,0.00013678211,0.00019388628,0.000027239215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011228898,0.0006525248,0.0006268175,0.00057071156,0.00028049966,0.0010807888,0.0008729816,0.00059631886,0.0015634485],"category_scores_gemma":[0.0020838412,0.0003110915,0.0009178271,0.0005939142,0.0007254754,0.0013044786,0.001800332,0.0009990118,0.000961501],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034153744,0.00010458717,0.0031435397,0.00023763183,0.00015033432,0.00040518004,0.00040185053,0.15482034,0.25684613,0.03953599,0.0023119512,0.5417009],"study_design_scores_gemma":[0.000025305804,0.00017857803,0.00091793,0.00001969443,0.000049936196,0.00041751534,0.000084455234,0.84220475,0.13979197,0.007132815,0.009101836,0.000075207725],"about_ca_topic_score_codex":0.0005857554,"about_ca_topic_score_gemma":0.0006737646,"teacher_disagreement_score":0.0015634485,"about_ca_system_score_codex":0.00030432068,"about_ca_system_score_gemma":0.0007516129,"threshold_uncertainty_score":0.0059384704},"labels":[],"label_agreement":null},{"id":"W2086330418","doi":"10.1115/ipc2002-27341","title":"The Application of Near-Surface Geophysics at Proposed Pipeline River Crossings: A Comparative Overview of Various Techniques and Their Associated Capabilities and Limitations","year":2002,"lang":"en","type":"article","venue":"4th International Pipeline Conference, Parts A and B","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Borehole; Geology; Drilling; Ground-penetrating radar; Measurement while drilling; Bedrock; Geophysics; Electrical resistivity tomography; Geophysical survey; Directional drilling; Regional geology; Geotechnical engineering; Radar; Seismology; Engineering; Tectonics; Geomorphology; Volcanism; Electrical resistivity and conductivity","score_opus":0.06446219524646586,"score_gpt":0.29405330494341325,"score_spread":0.2295911096969474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086330418","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4623576,0.017612286,0.49275094,0.0006445047,0.00007079396,0.00022707571,0.00045588062,0.001331658,0.024549216],"genre_scores_gemma":[0.69577855,0.0151156485,0.28500497,0.000079684476,0.000037235834,0.00007586734,0.00023868632,0.00009576565,0.0035735886],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989504,0.00034281035,0.000051182746,0.00012316192,0.00048006896,0.00005245515],"domain_scores_gemma":[0.9984421,0.00068346586,0.0001847278,0.00016909305,0.0004842022,0.000036419562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001382989,0.00042172783,0.00039892684,0.0023918254,0.00028526597,0.0010400926,0.00059631484,0.0006089923,0.00087400246],"category_scores_gemma":[0.0030268922,0.0002908813,0.00031366816,0.0024956497,0.00047077212,0.00094269187,0.0005409925,0.00025246604,0.00031687584],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000132135,0.000049056645,0.03285291,0.0009892809,0.00004488179,0.00028530956,0.0008028752,0.008962267,0.037169587,0.0017417362,0.000747118,0.9162228],"study_design_scores_gemma":[0.0000945662,0.0033263774,0.4001361,0.0009837325,0.0005568581,0.01506526,0.0067213997,0.18911351,0.2663694,0.008214264,0.109020196,0.00039828994],"about_ca_topic_score_codex":0.0034343794,"about_ca_topic_score_gemma":0.009301124,"teacher_disagreement_score":0.0034343794,"about_ca_system_score_codex":0.00034424322,"about_ca_system_score_gemma":0.00051559263,"threshold_uncertainty_score":0.0073140264},"labels":[],"label_agreement":null},{"id":"W2086696226","doi":"10.1049/ic:20060147","title":"Tarsier®, a unique radar for helping to keep debris off airport runways","year":2006,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Runway; Radar; Radar systems; Computer science; Aeronautics; Remote sensing; Radar lock-on; Debris; Man-portable radar; Telecommunications; Radar imaging; Engineering; Geology; Radar engineering details; Meteorology; Geography; Archaeology","score_opus":0.01015370932041728,"score_gpt":0.24011487369163736,"score_spread":0.22996116437122008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086696226","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10627754,0.019452313,0.73224515,0.004239247,0.0070425225,0.0011132081,0.0030573083,0.02893651,0.09763612],"genre_scores_gemma":[0.44485667,0.0076971096,0.35987294,0.0030704634,0.0011497954,0.00030837994,0.0048100445,0.0014237793,0.17681083],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99902785,0.00013949745,0.000033096534,0.00011906955,0.000560105,0.00012044312],"domain_scores_gemma":[0.999215,0.00014601574,0.000104558734,0.000072039686,0.0003326973,0.00012958377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014002909,0.000730699,0.0005745964,0.001317968,0.0006721808,0.0010901697,0.0007957686,0.0011563363,0.0127609065],"category_scores_gemma":[0.0014149596,0.00029921386,0.00036606606,0.0005090315,0.00051510707,0.00116545,0.0007606956,0.0010604009,0.004945263],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059798115,0.00013221636,0.0019896193,0.0006709322,0.000048632166,0.0005315301,0.0004628227,0.0013846069,0.3949933,0.006251871,0.08342685,0.5095097],"study_design_scores_gemma":[0.0004344451,0.004208209,0.011680331,0.00019931911,0.00016494379,0.010230816,0.00056894944,0.009819564,0.21983102,0.0019958322,0.74058133,0.00028512263],"about_ca_topic_score_codex":0.000929346,"about_ca_topic_score_gemma":0.0023439496,"teacher_disagreement_score":0.0127609065,"about_ca_system_score_codex":0.0003818965,"about_ca_system_score_gemma":0.00080041453,"threshold_uncertainty_score":0.042689502},"labels":[],"label_agreement":null},{"id":"W2087906424","doi":"10.1016/j.jappgeo.2009.08.006","title":"DNAPL mapping by ground penetrating radar examined via numerical simulation","year":2009,"lang":"en","type":"article","venue":"Journal of Applied Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Ground-penetrating radar; Environmental remediation; Geology; Radar; Aquifer; Hydrogeology; Soil science; Remote sensing; Environmental science; Groundwater; Geotechnical engineering; Contamination; Computer science","score_opus":0.011484742912910456,"score_gpt":0.23818821398604695,"score_spread":0.2267034710731365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087906424","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68124926,0.00026140688,0.30724108,0.0002021551,0.000036652036,0.00005545879,0.00016699896,0.00071140204,0.010075567],"genre_scores_gemma":[0.97065365,0.00009738969,0.027828632,0.000018973042,0.0000049901314,0.000013723222,0.00007351745,0.000037283597,0.0012718829],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999915,0.000021234526,0.0000031517939,0.000018315974,0.0000275552,0.000014837127],"domain_scores_gemma":[0.9994778,0.00027427124,0.000060211834,0.00005116949,0.00012006216,0.000016560924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026495935,0.0002991488,0.00031836476,0.0005571943,0.00036749407,0.0008093791,0.00036062236,0.00073586137,0.0012256678],"category_scores_gemma":[0.0014985629,0.00027719696,0.00022520538,0.00071709737,0.0003832403,0.00095146627,0.00037645982,0.00028731828,0.00026325716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051421237,0.000048734262,0.0019085824,0.0000322956,0.000009845197,0.00023847859,0.000076518474,0.97434765,0.0066159302,0.0017730333,0.00017411514,0.014723338],"study_design_scores_gemma":[0.0000031565864,0.0000054599473,0.00026163209,0.0000018342786,0.0000018837914,0.000019213552,0.000015380872,0.9983955,0.00085048,0.00036342713,0.00007858692,0.0000033474328],"about_ca_topic_score_codex":0.004862071,"about_ca_topic_score_gemma":0.0021644682,"teacher_disagreement_score":0.004862071,"about_ca_system_score_codex":0.00038226732,"about_ca_system_score_gemma":0.00056234235,"threshold_uncertainty_score":0.009667516},"labels":[],"label_agreement":null},{"id":"W2088433183","doi":"10.1190/1.1481255","title":"Integrated geophysical surveys to investigate the Scarsella vault of St. John's Baptistery in Florence","year":2002,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Vault (architecture); Geophysical survey; Geophysics; Geology; Seismology; Geography; Archaeology","score_opus":0.04758518630876104,"score_gpt":0.2581543820785455,"score_spread":0.21056919576978447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088433183","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969959,0.00011844428,0.00016262234,0.00002365215,0.0000049772493,0.000042767817,0.00027588278,0.000012776449,0.0023629223],"genre_scores_gemma":[0.99731123,0.00006284295,0.0008373964,0.00001674126,0.00000600401,0.000038039994,0.0004335761,0.0000029977093,0.001291166],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99965584,0.000026108431,0.000009252479,0.00006563421,0.00014155792,0.00010160731],"domain_scores_gemma":[0.99977,0.00001902679,0.00004922764,0.000021814863,0.000059475195,0.00008048222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017915195,0.0003301949,0.0002821196,0.0016961246,0.0009712785,0.000591954,0.000629779,0.00038441466,0.0011311619],"category_scores_gemma":[0.00054203847,0.00022203305,0.00019418982,0.0016744768,0.00054096594,0.00025304995,0.0009256816,0.0003379846,0.00017841601],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033819288,0.00022805932,0.857925,0.00017649852,0.00013134169,0.005500441,0.0118618645,0.0016606583,0.04622785,0.00061886397,0.0016837938,0.07364736],"study_design_scores_gemma":[0.000009408758,0.00008670959,0.9953733,0.000007743731,0.000005764017,0.0003757097,0.0012499316,0.00015362013,0.00023042099,0.000022885984,0.0024802035,0.0000042962834],"about_ca_topic_score_codex":0.13677308,"about_ca_topic_score_gemma":0.44734854,"teacher_disagreement_score":0.13677308,"about_ca_system_score_codex":0.0015134426,"about_ca_system_score_gemma":0.001424431,"threshold_uncertainty_score":0.27195394},"labels":[],"label_agreement":null},{"id":"W2090015019","doi":"10.3141/2101-06","title":"Use of Structural Asset Management to Evaluate Road Substructure Drainage Systems","year":2009,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ministry of Natural Resources and Forestry; Red Deer Polytechnic; Saskatoon City Hospital; University of Saskatchewan","funders":"","keywords":"Drainage; Drainage system (geomorphology); Truck; Asset management; Substructure; Engineering; Civil engineering; Structural engineering; Business","score_opus":0.1041581020949695,"score_gpt":0.40042231652011806,"score_spread":0.29626421442514855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090015019","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9268064,0.00015218048,0.0663231,0.00005977374,0.000004985667,0.00019783578,0.00025226816,0.00019531081,0.0060080932],"genre_scores_gemma":[0.98096085,0.00008873684,0.018478995,0.0000060424945,0.0000012780419,0.00003985233,0.00013834171,0.0000069723073,0.00027887622],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9987379,0.0003780176,0.00007743124,0.00008730789,0.000654635,0.00006478687],"domain_scores_gemma":[0.99845695,0.0005531683,0.00030467723,0.00015800283,0.00048066035,0.000046577134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016848206,0.00055059406,0.00041231065,0.0037036405,0.0004509019,0.0012015634,0.0007936134,0.00060871925,0.0009401566],"category_scores_gemma":[0.0038061573,0.00028911236,0.0005125209,0.0014197883,0.0005430176,0.001505603,0.00079298066,0.00024926628,0.00015370508],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019435672,0.0003337037,0.14399914,0.0001629558,0.00016008219,0.0003221999,0.0003705779,0.6908834,0.0266178,0.0051428066,0.00034902513,0.131464],"study_design_scores_gemma":[0.00001722277,0.0005874157,0.043036383,0.000024944913,0.000056460733,0.00021925697,0.00039849567,0.9331006,0.019387526,0.0021750228,0.0009601478,0.000036452675],"about_ca_topic_score_codex":0.00653332,"about_ca_topic_score_gemma":0.01339617,"teacher_disagreement_score":0.00653332,"about_ca_system_score_codex":0.0018385961,"about_ca_system_score_gemma":0.0009437383,"threshold_uncertainty_score":0.013339996},"labels":[],"label_agreement":null},{"id":"W2090144291","doi":"10.1111/j.1556-4029.2009.01191.x","title":"Commentary on: Authors’ Response [J Forensic Sci 2009;54(2):501] to Wells’ comments [J Forensic Sci 2009;54(2):500] regarding Krane DE, Ford S, Gilder JR, Inman K, Jamieson A, Koppl R, Kornfield IL, Risinger DM, Rudin N, Taylor MS, Thompson WC. Sequential unmasking: a means of minimizing observer effects in forensic DNA interpretation.","year":2009,"lang":"en","type":"letter","venue":"Journal of Forensic Sciences","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Shared Services Canada","funders":"","keywords":"Forensic science; Citation; Library science; Psychology; History; Computer science; Archaeology","score_opus":0.03087772428663779,"score_gpt":0.2963497643070035,"score_spread":0.26547204002036573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090144291","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00014628626,0.00043592326,0.000071839146,0.9594787,0.038180865,0.000017737213,0.00010162896,0.00003614825,0.0015309337],"genre_scores_gemma":[0.0013837239,0.00037622647,0.00013213095,0.973229,0.019392015,0.00003985976,0.000038706534,0.000027954347,0.005380478],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9955713,0.0007785358,0.00076419726,0.00062392605,0.0017566324,0.0005054206],"domain_scores_gemma":[0.986634,0.0060714562,0.0009863055,0.00037451912,0.0047125365,0.0012212237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004014316,0.0009835936,0.001452454,0.0012919122,0.0038720865,0.0026010727,0.002555826,0.057031084,0.011558166],"category_scores_gemma":[0.04242006,0.0009706648,0.0017395564,0.00091864116,0.0030160835,0.0034987275,0.0019250244,0.039532423,0.013659174],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023235601,0.0000060547254,0.000113156486,0.000026059544,0.0000038775524,0.0003254281,0.000054023007,0.000016199005,0.000054366545,0.00040736998,0.9975243,0.0014458754],"study_design_scores_gemma":[0.000057142955,0.0000427467,0.00092342607,0.0003492283,0.000029987446,0.0012093213,0.0004394792,0.00023796968,0.0003666468,0.0039046567,0.99235266,0.000086688844],"about_ca_topic_score_codex":0.011051942,"about_ca_topic_score_gemma":0.011070077,"teacher_disagreement_score":0.057031084,"about_ca_system_score_codex":0.005728959,"about_ca_system_score_gemma":0.0055117905,"threshold_uncertainty_score":0.04156673},"labels":[],"label_agreement":null},{"id":"W2090446850","doi":"10.1117/12.462256","title":"&lt;title&gt;Field studies of GPR air launched surface reflectivity measurements of soil water content&lt;/title&gt;","year":2002,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reflectometry; Water content; Ground-penetrating radar; Reflectivity; Remote sensing; Environmental science; Soil water; Terrain; Soil science; Hydrology (agriculture); Geology; Optics; Time domain; Geography; Radar; Geotechnical engineering; Engineering; Cartography; Physics","score_opus":0.05321511529587824,"score_gpt":0.27035955612909673,"score_spread":0.2171444408332185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090446850","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99709797,0.000020611784,0.0020071585,0.000018621302,0.0000050255917,0.000018537812,0.00017064263,0.00004918155,0.0006123011],"genre_scores_gemma":[0.996136,0.000038166767,0.0019534135,0.000029976414,0.000005672788,0.000019806208,0.00055340136,0.000015563666,0.0012479285],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998344,0.000027447106,0.000010079052,0.000047085905,0.00004109895,0.000039826904],"domain_scores_gemma":[0.99949324,0.00014771718,0.000040628078,0.00006066685,0.00019997155,0.000057746674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041107126,0.00016078803,0.00026137914,0.0003090768,0.00025095243,0.00019336319,0.00027944637,0.0002451976,0.001351765],"category_scores_gemma":[0.00040704873,0.00010350936,0.00012358298,0.00024250646,0.00029909518,0.00036111413,0.00022252921,0.00026840018,0.00044027754],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002039413,0.001300785,0.023084637,0.000082141836,0.000021727717,0.00056891906,0.00036358877,0.0025701292,0.94023,0.00022407094,0.0012103553,0.028304154],"study_design_scores_gemma":[0.00026444157,0.010307824,0.3019564,0.000020665526,0.000056090357,0.0008595934,0.0007952646,0.018655412,0.66339535,0.00032337176,0.0033072429,0.000058365695],"about_ca_topic_score_codex":0.0018421778,"about_ca_topic_score_gemma":0.0019065728,"teacher_disagreement_score":0.0018421778,"about_ca_system_score_codex":0.00015346316,"about_ca_system_score_gemma":0.00007712639,"threshold_uncertainty_score":0.004522145},"labels":[],"label_agreement":null},{"id":"W2090537132","doi":"10.1190/1.1845116","title":"Improving Interborehole Interpretations in unconsolidated alluvium with the integration of 3‐D GPR, conductivity logs, and grain size analysis","year":2004,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Alluvium; Ground-penetrating radar; Geology; Grain size; Conductivity; Mineralogy; Geotechnical engineering; Geomorphology; Computer science; Radar","score_opus":0.00926450508186417,"score_gpt":0.24360168891964754,"score_spread":0.23433718383778337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090537132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8779286,0.00035002755,0.1126242,0.00013263266,0.00001838014,0.000054674725,0.0009911286,0.0018683835,0.006031932],"genre_scores_gemma":[0.951785,0.00017981183,0.04617184,0.00003407551,0.000003938396,0.000011400365,0.0004880214,0.00017403229,0.0011518592],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999877,0.000010566882,0.0000058413834,0.000020160931,0.00004243106,0.000044037835],"domain_scores_gemma":[0.99973387,0.0000587373,0.00002401666,0.000027726092,0.00013547271,0.000020089055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000322677,0.0004920362,0.00021537038,0.0026736278,0.00056416367,0.0014157029,0.00066607964,0.00031838755,0.0010626737],"category_scores_gemma":[0.0008258479,0.00024015672,0.00015900286,0.0011760618,0.00041438444,0.0006485525,0.0007613051,0.00037106642,0.00039197807],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043190745,0.00008906423,0.24051097,0.00024463964,0.00005626239,0.002069248,0.0037028256,0.014368661,0.36934963,0.002419587,0.002722255,0.36403498],"study_design_scores_gemma":[0.000053036525,0.00009581599,0.69275934,0.000117253876,0.00011936405,0.0013811642,0.009948343,0.12205835,0.148091,0.0049002003,0.020317784,0.00015844202],"about_ca_topic_score_codex":0.124775544,"about_ca_topic_score_gemma":0.41556746,"teacher_disagreement_score":0.124775544,"about_ca_system_score_codex":0.0005719782,"about_ca_system_score_gemma":0.00093585294,"threshold_uncertainty_score":0.2480985},"labels":[],"label_agreement":null},{"id":"W2090687799","doi":"10.1139/l06-079","title":"Integration of field and laboratory testing to determine the causes of a premature pavement failure","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Falling weight deflectometer; Geotechnical engineering; Coring; Ground-penetrating radar; Deflection (physics); Moisture; Engineering; Forensic engineering; Geology; Subgrade; Materials science; Composite material; Radar; Drilling","score_opus":0.00879466590201817,"score_gpt":0.19814309685302195,"score_spread":0.1893484309510038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090687799","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9350809,0.0009923527,0.055680845,0.00010119874,0.00009842402,0.00085474644,0.000606984,0.00060281385,0.0059817433],"genre_scores_gemma":[0.93997496,0.0005773242,0.05567571,0.000120998026,0.00004185154,0.0003377176,0.0005997567,0.000042345888,0.0026293374],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980944,0.00038086553,0.00017763078,0.00035070616,0.0008476627,0.00014882513],"domain_scores_gemma":[0.9965138,0.00088882353,0.00057474145,0.0003092166,0.0015756598,0.00013774056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002651822,0.0010686422,0.00068558514,0.0021783828,0.0004954632,0.00078836497,0.0007545301,0.0007005402,0.0011919122],"category_scores_gemma":[0.0022795615,0.00030634325,0.00041097373,0.0008226074,0.0005905176,0.0006995795,0.00044704948,0.00039390137,0.0005296395],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071009627,0.0017372665,0.101541534,0.00043237425,0.00008652682,0.00071012945,0.0005589374,0.0022521964,0.80760944,0.0003511256,0.00042339152,0.08358699],"study_design_scores_gemma":[0.0000815665,0.015377365,0.18845244,0.00015355789,0.0002727014,0.002313344,0.0021638402,0.016798368,0.767954,0.00070236775,0.0056053046,0.00012520152],"about_ca_topic_score_codex":0.0016477109,"about_ca_topic_score_gemma":0.0030372331,"teacher_disagreement_score":0.002651822,"about_ca_system_score_codex":0.00041847862,"about_ca_system_score_gemma":0.0007883838,"threshold_uncertainty_score":0.014024377},"labels":[],"label_agreement":null},{"id":"W2090759458","doi":"10.1520/jte102417","title":"Nondestructive Fatigue Damage Analysis of a Thin Asphalt Concrete Course Using the Wavelet Correlation Method","year":2010,"lang":"en","type":"article","venue":"Journal of Testing and Evaluation","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint-Gobain (Canada)","funders":"","keywords":"Cracking; Materials science; Gradation; Nondestructive testing; Wavelet; Asphalt concrete; Overlay; Structural engineering; Asphalt; Elastic modulus; Dispersion (optics); Composite material; Engineering; Optics; Computer science","score_opus":0.07847272400295062,"score_gpt":0.3890477952217711,"score_spread":0.31057507121882044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090759458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6315532,0.000082453196,0.3665183,0.000021551497,0.000007964608,0.0000353347,0.00012694672,0.00032135137,0.0013329322],"genre_scores_gemma":[0.92794746,0.00007163805,0.071079165,0.0000047639865,0.0000034768052,0.000019705727,0.00008805944,0.000018808645,0.00076690037],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998872,0.000014149748,0.0000049527152,0.00002141168,0.000061299324,0.000010981709],"domain_scores_gemma":[0.99977845,0.000057502184,0.000048609174,0.000037406186,0.00006398043,0.00001399218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022846245,0.00026750474,0.00014919,0.00087472185,0.00007563669,0.00017741986,0.00021979927,0.0001763904,0.0008689041],"category_scores_gemma":[0.00049753324,0.00014752247,0.00015910993,0.00044375536,0.00012914633,0.00016870005,0.00019345079,0.0001714389,0.00016952177],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019820598,0.00011845436,0.011113367,0.00009722069,0.000026489284,0.00020784946,0.00016825872,0.09409764,0.6564508,0.0015794623,0.00030577573,0.23563643],"study_design_scores_gemma":[0.000005941788,0.0001399672,0.022138918,0.0000077458135,0.000014237808,0.00016554205,0.00003518304,0.8836071,0.09300495,0.0002559021,0.0006061338,0.000018373294],"about_ca_topic_score_codex":0.001083242,"about_ca_topic_score_gemma":0.00147591,"teacher_disagreement_score":0.001083242,"about_ca_system_score_codex":0.00013981701,"about_ca_system_score_gemma":0.00022277527,"threshold_uncertainty_score":0.0029067993},"labels":[],"label_agreement":null},{"id":"W2093161882","doi":"10.1080/07038992.2000.10874794","title":"Éfficacité des données de RADARSAT-1 dans la reconnaissance des linéaments : un bilan","year":2000,"lang":"fr","type":"article","venue":"Canadian Journal of Remote Sensing","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Physics; Cartography; Geography; Philosophy","score_opus":0.032105340280572915,"score_gpt":0.2404108999496903,"score_spread":0.2083055596691174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093161882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82303643,0.0021646256,0.15829365,0.00051209494,0.00015237342,0.0001564138,0.0010373589,0.0028689895,0.011778072],"genre_scores_gemma":[0.9167483,0.00080247695,0.07288243,0.000103431776,0.00002521151,0.000056822817,0.00092589954,0.00018560918,0.008269769],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99944264,0.000075409574,0.000023307122,0.00011751942,0.00026844133,0.00007267112],"domain_scores_gemma":[0.99911577,0.0002662383,0.00004727993,0.000082417566,0.00046010318,0.000028219107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009054659,0.0007762464,0.000443247,0.0010560338,0.00040945248,0.0013003685,0.00048734585,0.00078279397,0.0035738696],"category_scores_gemma":[0.0016621826,0.00028951175,0.00047647476,0.0008831654,0.00039298,0.00075590075,0.00035757743,0.00042114107,0.0009899499],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014028683,0.00013166694,0.013717569,0.0007091115,0.00025342268,0.0003989298,0.00053725607,0.096326575,0.40640128,0.0009765765,0.0022553974,0.4768893],"study_design_scores_gemma":[0.0000773765,0.0006664933,0.08491378,0.00014706589,0.00034152681,0.0005901327,0.00090122037,0.52225065,0.37217665,0.00090627006,0.016913658,0.000115218216],"about_ca_topic_score_codex":0.038377833,"about_ca_topic_score_gemma":0.05525125,"teacher_disagreement_score":0.038377833,"about_ca_system_score_codex":0.00088272116,"about_ca_system_score_gemma":0.0006450192,"threshold_uncertainty_score":0.07630885},"labels":[],"label_agreement":null},{"id":"W2094146775","doi":"10.1117/12.602637","title":"A short wave infrared hyperspectral imager for landmine detection","year":2005,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Itres (Canada); Defence Research and Development Canada","funders":"Defence Research and Development Canada","keywords":"Hyperspectral imaging; VNIR; Remote sensing; Infrared; Pixel; Spectral bands; Environmental science; Spectral signature; Electromagnetic spectrum; Computer science; Geology; Artificial intelligence; Optics; Physics","score_opus":0.013370449347927818,"score_gpt":0.23857524727397406,"score_spread":0.22520479792604625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094146775","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2882456,0.00092890905,0.61239815,0.0005640847,0.0004431414,0.0019447914,0.009750255,0.030785644,0.054939527],"genre_scores_gemma":[0.32150903,0.00037044752,0.6361624,0.0005738465,0.00009357197,0.0007979647,0.008449937,0.00061774475,0.031425018],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99938595,0.000052182884,0.000017011615,0.00011743545,0.00039159265,0.000035741945],"domain_scores_gemma":[0.9996908,0.00003648998,0.000033387863,0.00004900977,0.00015888801,0.0000315553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049342244,0.0005720608,0.00047023976,0.001076084,0.00036066325,0.00035779274,0.000587869,0.0004790154,0.0061249924],"category_scores_gemma":[0.00037905868,0.0002544551,0.0003242964,0.0006740366,0.00018364408,0.00047172038,0.00029544317,0.0005488966,0.0027753054],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030234415,0.00015493535,0.0027876343,0.00013606719,0.00003459413,0.0001688987,0.000064124084,0.0010059031,0.8374245,0.00087561767,0.012355945,0.1446893],"study_design_scores_gemma":[0.00029634772,0.0016656623,0.07490839,0.000056071807,0.00015770333,0.0027570794,0.00015936306,0.105837524,0.6931437,0.00067210844,0.12011496,0.00023104611],"about_ca_topic_score_codex":0.0020308895,"about_ca_topic_score_gemma":0.0058627455,"teacher_disagreement_score":0.0061249924,"about_ca_system_score_codex":0.0002882564,"about_ca_system_score_gemma":0.0003977608,"threshold_uncertainty_score":0.02049017},"labels":[],"label_agreement":null},{"id":"W2094722085","doi":"10.1117/12.663109","title":"The Canadian Forces ILDS: a militarily fielded multisensor vehicle-mounted teleoperated landmine detection system","year":2006,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Defence Research and Development Canada","funders":"Ministère de la Défense Nationale; Defence Research and Development Canada","keywords":"Teleoperation; Ground-penetrating radar; Detector; Computer science; Engineering; Real-time computing; Remote sensing; Simulation; Radar; Artificial intelligence; Aerospace engineering; Robot; Electrical engineering; Geology","score_opus":0.0071521270507617935,"score_gpt":0.2161654486148985,"score_spread":0.2090133215641367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094722085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62664163,0.0010678767,0.20420642,0.0013722483,0.00050836493,0.0020338942,0.0098936185,0.039966274,0.11430963],"genre_scores_gemma":[0.85665935,0.00034721743,0.08754552,0.00043332405,0.00004811489,0.0003079007,0.0048603825,0.00022237982,0.04957579],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99952984,0.000019849916,0.0000073880456,0.00006942946,0.0002946004,0.00007891155],"domain_scores_gemma":[0.999579,0.000011061454,0.000020409061,0.000024061606,0.00030076108,0.00006475406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030467924,0.0006721856,0.00032684556,0.00083420984,0.00095058954,0.0005940198,0.0014105318,0.00043613353,0.006441272],"category_scores_gemma":[0.00040364295,0.00024863725,0.00021306523,0.00053283153,0.00043023317,0.0005670024,0.0009399031,0.0004631542,0.0013759913],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020139522,0.00043446742,0.023025464,0.0003842273,0.00009551613,0.0009179365,0.0010769254,0.020721456,0.30732024,0.004285258,0.09156231,0.54816216],"study_design_scores_gemma":[0.001270833,0.0025866278,0.15659527,0.00017288627,0.00024891514,0.0019386486,0.0011285024,0.30958697,0.16902648,0.0008417379,0.35595813,0.0006450614],"about_ca_topic_score_codex":0.63138163,"about_ca_topic_score_gemma":0.74386746,"teacher_disagreement_score":0.63138163,"about_ca_system_score_codex":0.0049161804,"about_ca_system_score_gemma":0.008645481,"threshold_uncertainty_score":0.74157846},"labels":[],"label_agreement":null},{"id":"W2096783821","doi":"10.1190/1.1759452","title":"Field tests of an experimental helicopter time-domain electromagnetic system for unexploded ordnance detection","year":2004,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Smiths Detection (Canada); University of Toronto","funders":"Oak Ridge National Laboratory; U.S. Army Corps of Engineers; U.S. Department of Energy","keywords":"Unexploded ordnance; Transmitter; Acoustics; SIGNAL (programming language); Time domain; Noise (video); Offset (computer science); Computer science; Geology; Remote sensing; Physics; Telecommunications","score_opus":0.006708720162960254,"score_gpt":0.2356115447652632,"score_spread":0.22890282460230293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096783821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938788,0.000020803423,0.005472323,0.000020346548,0.000016709422,0.00008435461,0.00007929893,0.00007724517,0.00035023352],"genre_scores_gemma":[0.9950622,0.0000214555,0.0040737903,0.000038190356,0.0000057550924,0.0000446891,0.00013234075,0.000008266817,0.00061324134],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996865,0.000082946644,0.00001902197,0.0000746392,0.0000909377,0.00004601783],"domain_scores_gemma":[0.99872583,0.00041873884,0.00010718983,0.00013608637,0.000492151,0.000119990946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006186627,0.00036189286,0.00021337505,0.0002332081,0.0003401685,0.00019442031,0.00047354182,0.0004997308,0.0015777203],"category_scores_gemma":[0.0011674856,0.00014598794,0.00015626014,0.00014908123,0.00032254655,0.00032694096,0.0002484034,0.0002147499,0.000344677],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003661242,0.001693201,0.015496393,0.0003852574,0.00007887971,0.00043156208,0.0005795004,0.0068851705,0.9389381,0.0002550879,0.0004256096,0.031169953],"study_design_scores_gemma":[0.0010316351,0.058202647,0.06609246,0.000069343245,0.00017659356,0.0005403379,0.00051992043,0.039788034,0.8303783,0.00023291749,0.0029028244,0.00006492749],"about_ca_topic_score_codex":0.0016280845,"about_ca_topic_score_gemma":0.001437123,"teacher_disagreement_score":0.0016280845,"about_ca_system_score_codex":0.00023647468,"about_ca_system_score_gemma":0.00026805236,"threshold_uncertainty_score":0.005278051},"labels":[],"label_agreement":null},{"id":"W2098052392","doi":"10.1061/41082(362)66","title":"The Application and Advantages of Surface Penetrating Radar in Subgrade Void Detection beneath Slabs-on-Grade","year":2009,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Golder Associates (Canada)","funders":"","keywords":"Subgrade; Nondestructive testing; Void (composites); Radar; Geotechnical engineering; Geology; Ground-penetrating radar; Slurry; Materials science; Engineering; Composite material; Aerospace engineering","score_opus":0.00683932892213875,"score_gpt":0.2513840424623398,"score_spread":0.24454471354020105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098052392","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74271667,0.0037956978,0.24281017,0.0004747532,0.00007575444,0.000085225016,0.000073672934,0.00030070829,0.009667331],"genre_scores_gemma":[0.89379686,0.001799807,0.10298475,0.00008231591,0.000039397004,0.000011634089,0.000030787443,0.000014172023,0.0012402713],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99949217,0.00016586175,0.000015212515,0.000068918554,0.00020835055,0.000049348142],"domain_scores_gemma":[0.9991437,0.00041206068,0.00010573024,0.00007911674,0.00022421891,0.00003518322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008742752,0.00033524912,0.0001542167,0.0006026076,0.00015319238,0.0004148366,0.0003599109,0.00077609514,0.00040766268],"category_scores_gemma":[0.001234535,0.00018381927,0.00018152053,0.00040178504,0.00050717324,0.00087357033,0.0004149078,0.0003289118,0.00021575083],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037635502,0.00016098015,0.036384597,0.0002991021,0.000025015535,0.0010543889,0.00055374234,0.011380745,0.5837599,0.002295269,0.0003801658,0.3633298],"study_design_scores_gemma":[0.000046599216,0.0025652803,0.09478723,0.0001063019,0.00011610016,0.01439595,0.0023925696,0.15517963,0.7131276,0.0051437984,0.011965593,0.00017327338],"about_ca_topic_score_codex":0.00053769414,"about_ca_topic_score_gemma":0.0009521913,"teacher_disagreement_score":0.0008742752,"about_ca_system_score_codex":0.00011875195,"about_ca_system_score_gemma":0.00018365582,"threshold_uncertainty_score":0.004623711},"labels":[],"label_agreement":null},{"id":"W2099995887","doi":"10.22201/fi.25940732e.2007.08n3.013","title":"Imaginología por resonancia magnética y la determinación de cloruro y sodio en mortero de cemento Pórtland","year":2007,"lang":"es","type":"article","venue":"Ingeniería Investigación y Tecnología","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Humanities; Physics; Philosophy; Chemistry","score_opus":0.01173343945982324,"score_gpt":0.28062216061727835,"score_spread":0.2688887211574551,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099995887","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96694887,0.003097535,0.017519677,0.0004991665,0.00010055941,0.000042125946,0.00042045096,0.00015764643,0.011214015],"genre_scores_gemma":[0.9884235,0.0009846003,0.0057682986,0.000049750935,0.000021149026,0.000009383463,0.00008607429,0.000028850283,0.004628507],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997826,0.000035289653,0.000008615396,0.0000652385,0.00008381791,0.000024529805],"domain_scores_gemma":[0.99969614,0.00012827123,0.0000541588,0.00002477422,0.000079164405,0.000017615466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007995521,0.0005145398,0.00030774306,0.0019451206,0.00048509828,0.0008253405,0.00042305357,0.0008957539,0.0027095259],"category_scores_gemma":[0.00077740825,0.0002739624,0.00028625384,0.00089448097,0.0017351311,0.0008209574,0.00032980103,0.0004952765,0.0004033777],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001298328,0.00011267249,0.040165633,0.00069566176,0.00006737921,0.0010690603,0.0023430998,0.004282569,0.8783869,0.0019502522,0.0008374466,0.06879105],"study_design_scores_gemma":[0.000097250624,0.0010393661,0.36927077,0.00029374796,0.0003209542,0.0026739668,0.007419126,0.032201722,0.55497426,0.0055312114,0.025944784,0.00023290132],"about_ca_topic_score_codex":0.009560406,"about_ca_topic_score_gemma":0.02319007,"teacher_disagreement_score":0.009560406,"about_ca_system_score_codex":0.00043277026,"about_ca_system_score_gemma":0.000333869,"threshold_uncertainty_score":0.01900953},"labels":[],"label_agreement":null},{"id":"W2100158583","doi":"10.1061/(asce)0733-947x(2000)126:3(257)","title":"Ground-Penetrating Radar for Network-Level Concrete Deck Repair Management","year":2000,"lang":"en","type":"article","venue":"Journal of Transportation Engineering","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ground-penetrating radar; Bridge deck; Deck; Bridge (graph theory); Environmental science; Radar; Nova scotia; Prioritization; Structural engineering; Geotechnical engineering; Engineering; Civil engineering; Computer science; Geology; Forensic engineering","score_opus":0.014725620297044929,"score_gpt":0.23408315238974872,"score_spread":0.21935753209270378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100158583","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66499174,0.006958062,0.31568882,0.0011210011,0.0001322273,0.00017976224,0.00045167963,0.0013920941,0.009084652],"genre_scores_gemma":[0.9113226,0.0012464542,0.08553173,0.00008531642,0.000027984464,0.000032173357,0.00013745854,0.000015797626,0.0016004896],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9997937,0.00010520791,0.0000064102915,0.000019368503,0.00006131002,0.000014021809],"domain_scores_gemma":[0.99959534,0.00015898407,0.000056667628,0.000046464036,0.00012004296,0.000022481594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062502257,0.00020243398,0.00017682319,0.00039001895,0.00012271272,0.00039419084,0.0002548217,0.00026962385,0.0010879552],"category_scores_gemma":[0.001373836,0.000110977366,0.00007251609,0.00032092916,0.00013765425,0.00041138195,0.00025473133,0.00020947785,0.0003390347],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007363343,0.00018116698,0.02608306,0.00026818315,0.000038895603,0.00033595352,0.00014727507,0.05431043,0.09543114,0.0019652261,0.0042223153,0.81628007],"study_design_scores_gemma":[0.00016151824,0.0016549644,0.087821566,0.00013183238,0.00019710332,0.0010804656,0.0006215469,0.8070921,0.079157196,0.0038499227,0.01816092,0.00007089436],"about_ca_topic_score_codex":0.002942347,"about_ca_topic_score_gemma":0.0067868554,"teacher_disagreement_score":0.002942347,"about_ca_system_score_codex":0.00039964225,"about_ca_system_score_gemma":0.00052615703,"threshold_uncertainty_score":0.0058504343},"labels":[],"label_agreement":null},{"id":"W2100998208","doi":"10.1109/icassp.2007.367072","title":"Through the Wall Imaging using Chaotic Modulated Ultra Wideband Synthetic Aperture Radar","year":2007,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Synthetic aperture radar; Radar; Computer science; Radar imaging; Autocorrelation; Ultra-wideband; Chaotic; Inverse synthetic aperture radar; Reflection (computer programming); Continuous-wave radar; Electronic engineering; Energy (signal processing); Wideband; Remote sensing; Artificial intelligence; Telecommunications; Engineering; Geology; Physics; Mathematics","score_opus":0.015232914953790287,"score_gpt":0.2568910244230308,"score_spread":0.24165810946924052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100998208","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36096832,0.0004909547,0.6341288,0.00011865616,0.000048146918,0.00003207625,0.000031812062,0.00042898435,0.003752181],"genre_scores_gemma":[0.8306614,0.00036093016,0.16701677,0.000036104393,0.000033497283,0.000019337476,0.000044548677,0.000016910464,0.0018104308],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99992025,0.000019698646,0.0000036565611,0.000012025657,0.000034614528,0.000009811668],"domain_scores_gemma":[0.99987745,0.000033068816,0.00003496149,0.000020942301,0.000023992476,0.000009627906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012824497,0.00024475917,0.00020457439,0.00014250385,0.00007360734,0.00024747816,0.00018796565,0.00023921495,0.00030922063],"category_scores_gemma":[0.00030384556,0.00010388561,0.00014424583,0.00013263559,0.00018559878,0.0004059602,0.0003248797,0.0001872794,0.00013617157],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028803525,0.000041406707,0.0019473751,0.00010971261,0.00003171013,0.00037506345,0.00013125723,0.014456711,0.8423247,0.00526166,0.00039950738,0.13463284],"study_design_scores_gemma":[0.00006653241,0.0008092571,0.004136126,0.00002885381,0.00006771175,0.0026656531,0.00008088918,0.37575832,0.60746586,0.0017784473,0.007091065,0.000051216175],"about_ca_topic_score_codex":0.00009727343,"about_ca_topic_score_gemma":0.00012547456,"teacher_disagreement_score":0.00030922063,"about_ca_system_score_codex":0.000085465326,"about_ca_system_score_gemma":0.00011468944,"threshold_uncertainty_score":0.0010344982},"labels":[],"label_agreement":null},{"id":"W2103086066","doi":"10.1109/tgrs.2012.2220146","title":"Enhancement of Magnetic Data by Stable Downward Continuation for UXO Application","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Geoscience and Remote Sensing","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Unexploded ordnance; Magnetic anomaly; Noise (video); Spectral density; Anomaly (physics); Inverse problem; Magnetic field; Continuation; Anomaly detection; Signal-to-noise ratio (imaging); Remote sensing; Geology; Geophysics; Computer science; Optics; Physics; Mathematics; Artificial intelligence; Telecommunications","score_opus":0.023263620312423818,"score_gpt":0.2718054612781198,"score_spread":0.24854184096569595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103086066","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10282459,0.00013650465,0.89345235,0.00020020253,0.00003403636,0.000044405922,0.000074651296,0.0012627621,0.0019704665],"genre_scores_gemma":[0.31441125,0.00016129817,0.6833223,0.000043720105,0.000037465612,0.000047378406,0.00029703625,0.00017464643,0.0015050087],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998338,0.00003741554,0.000008403836,0.00002384285,0.00008144637,0.00001507138],"domain_scores_gemma":[0.9995701,0.00013710742,0.00005666209,0.00009160313,0.00012539867,0.000019091978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056318153,0.00065381365,0.00038595762,0.00057743775,0.00025164246,0.0005072989,0.00048652015,0.0006034373,0.0013916078],"category_scores_gemma":[0.0018882692,0.00029672022,0.00039658957,0.0005547175,0.00033263216,0.000669807,0.00071126013,0.00046492406,0.00051086355],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055274245,0.00014346329,0.0059013814,0.00014581313,0.00003375956,0.0005311783,0.00038682262,0.09738941,0.30432537,0.006158827,0.0016297649,0.58280146],"study_design_scores_gemma":[0.000038320377,0.00018741119,0.003555851,0.000017835424,0.000018007118,0.0002952075,0.00006999578,0.9122786,0.07529749,0.0025594046,0.0056461096,0.000035800094],"about_ca_topic_score_codex":0.00083972275,"about_ca_topic_score_gemma":0.0016106678,"teacher_disagreement_score":0.0013916078,"about_ca_system_score_codex":0.00016030887,"about_ca_system_score_gemma":0.0004238082,"threshold_uncertainty_score":0.004655421},"labels":[],"label_agreement":null},{"id":"W2104806137","doi":"10.1109/tia.2015.2428679","title":"Using Fall-of-Potential Measurements to Improve Deep Soil Resistivity Estimates","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Safe Engineering Services & Technologies (Canada)","funders":"Canadian Electricity Association; Electric Power Research Institute","keywords":"Ground; Soil resistivity; Electrical impedance; Electrical resistivity and conductivity; Work (physics); Earthing system; Geotechnical engineering; Engineering; Electrical engineering; Environmental science; Mechanical engineering","score_opus":0.08565772319847251,"score_gpt":0.3198325758838908,"score_spread":0.2341748526854183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104806137","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2174232,0.00018854147,0.7744084,0.00008421696,0.000048383743,0.00006433811,0.00071492523,0.0030180202,0.004049916],"genre_scores_gemma":[0.8250221,0.00016236237,0.17315069,0.000036690413,0.000010931093,0.00003614215,0.0004833154,0.00017107524,0.0009266382],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99946874,0.00012625214,0.00003417452,0.00011780122,0.00020633315,0.00004663127],"domain_scores_gemma":[0.99877936,0.0004088813,0.0002080055,0.00026713757,0.0002848681,0.000051658386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004660568,0.0010332961,0.00040666436,0.0014855016,0.00024664003,0.0010421393,0.0008252945,0.00064976234,0.0021044132],"category_scores_gemma":[0.0031730777,0.00032996928,0.00017922831,0.0014064421,0.00021216029,0.0013669606,0.00094634056,0.0008666736,0.0010326201],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050963514,0.00027421658,0.05082771,0.0004205916,0.0000826507,0.0005499645,0.00078774185,0.06289382,0.49434963,0.0022928957,0.0021197812,0.3848914],"study_design_scores_gemma":[0.00011302222,0.00082277774,0.08130963,0.00012939032,0.00012768936,0.000689853,0.0005922752,0.5253061,0.36662036,0.009669674,0.014450133,0.00016912106],"about_ca_topic_score_codex":0.0010852949,"about_ca_topic_score_gemma":0.0033479421,"teacher_disagreement_score":0.0021044132,"about_ca_system_score_codex":0.00020816516,"about_ca_system_score_gemma":0.00017373986,"threshold_uncertainty_score":0.0070399046},"labels":[],"label_agreement":null},{"id":"W2104844204","doi":"10.1109/ccst.2004.1405388","title":"Field tests of a buried cable sensor with intruder location","year":2005,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Radar; Remote sensing; Ground-penetrating radar; Wideband; Acoustics; Geology; Computer science; Environmental science; Electrical engineering; Telecommunications; Engineering; Physics","score_opus":0.007389500548092007,"score_gpt":0.23790529937753788,"score_spread":0.23051579882944587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104844204","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99167645,0.00007506689,0.00735689,0.00003990615,0.00003279408,0.000049070848,0.000104896826,0.00016344286,0.0005016145],"genre_scores_gemma":[0.98943835,0.00011101088,0.008833379,0.00007511257,0.000013115947,0.000029070736,0.0003150422,0.000017825087,0.0011669627],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99925596,0.00010532074,0.000041359166,0.00015644553,0.00035941883,0.000081510996],"domain_scores_gemma":[0.9983461,0.0004051287,0.00012563234,0.00016621787,0.0008173778,0.0001395342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062866294,0.00044680104,0.00035498047,0.00044283542,0.00023992786,0.00018854093,0.00077129726,0.00047629204,0.00082453515],"category_scores_gemma":[0.0015061636,0.00023598455,0.00018906766,0.00042920376,0.00025877604,0.00057642354,0.00044241178,0.00033148177,0.00023062697],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019149598,0.0007980114,0.024179628,0.00029422785,0.00011924362,0.000649551,0.00071315543,0.0076326695,0.89564735,0.00029969012,0.00095797906,0.066793546],"study_design_scores_gemma":[0.00030297518,0.021767983,0.052202124,0.000047456288,0.00018833195,0.0015893715,0.0007512762,0.041266046,0.878388,0.00018456741,0.0032552727,0.000056630503],"about_ca_topic_score_codex":0.0019443099,"about_ca_topic_score_gemma":0.002221754,"teacher_disagreement_score":0.0019443099,"about_ca_system_score_codex":0.00027525733,"about_ca_system_score_gemma":0.0002487442,"threshold_uncertainty_score":0.0038659573},"labels":[],"label_agreement":null},{"id":"W2104957541","doi":"10.1109/icif.2002.1021171","title":"Voting fusion adaptation for landmine detection","year":2003,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"General Dynamics (Canada)","funders":"","keywords":"Voting; Sensor fusion; Computer science; False alarm; Fusion; Constant false alarm rate; Heuristic; Scheme (mathematics); Artificial intelligence; Computer vision; Real-time computing","score_opus":0.02284499109033452,"score_gpt":0.25031697981181117,"score_spread":0.22747198872147664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104957541","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03871166,0.0001766822,0.9582705,0.000060144,0.00007017357,0.00005157077,0.000030461506,0.00093115366,0.0016975609],"genre_scores_gemma":[0.8218876,0.00012461329,0.17530724,0.00007813025,0.000048410544,0.00007034805,0.00012632435,0.00007215159,0.0022852165],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990702,0.00024265723,0.000045056055,0.00019369122,0.00035038177,0.00009799835],"domain_scores_gemma":[0.99915075,0.00029838202,0.00006565256,0.00018200924,0.0002768743,0.000026272932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011013714,0.00040772857,0.00069317524,0.00040062386,0.00037742307,0.00046246115,0.00083714986,0.0005563611,0.0014203206],"category_scores_gemma":[0.0031684735,0.00019329958,0.00040241904,0.00064079283,0.00040530149,0.00081242196,0.0007444527,0.00056243216,0.00046599016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053218455,0.00009129736,0.0024812773,0.00009733097,0.0001115352,0.00017255644,0.000154628,0.2188299,0.090580285,0.009722439,0.0022115572,0.675015],"study_design_scores_gemma":[0.000016027558,0.0001094462,0.0010885771,0.000005111701,0.000026027801,0.00013704908,0.00002309756,0.9583176,0.032956187,0.004092978,0.003204636,0.0000233439],"about_ca_topic_score_codex":0.0017680825,"about_ca_topic_score_gemma":0.0019490022,"teacher_disagreement_score":0.0017680825,"about_ca_system_score_codex":0.0003473218,"about_ca_system_score_gemma":0.00030723945,"threshold_uncertainty_score":0.005824685},"labels":[],"label_agreement":null},{"id":"W2105978821","doi":"10.1007/978-1-4419-9146-1_52","title":"Design and Testing of A 1–3 GHz SFCW Ground Penetrating Radar","year":2003,"lang":"en","type":"book-chapter","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Ground-penetrating radar; SIGNAL (programming language); Computer science; Radar; Scale (ratio); Signal processing; Engineering; Telecommunications; Geography","score_opus":0.05341931146863005,"score_gpt":0.244493132990521,"score_spread":0.19107382152189095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105978821","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21503852,0.00090129353,0.7539972,0.0006410344,0.0002488925,0.00069235516,0.00034225528,0.002762562,0.025375871],"genre_scores_gemma":[0.638985,0.0004822283,0.34387732,0.00030682507,0.00005495538,0.00026904896,0.00029487992,0.00022103617,0.015508846],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989503,0.00012889202,0.000038337428,0.00015133045,0.0005971592,0.00013393078],"domain_scores_gemma":[0.9990299,0.00019288818,0.00013666398,0.00016820733,0.00038421157,0.00008809329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001015301,0.00059571984,0.00052523403,0.0004947619,0.00032563106,0.0009877359,0.0014700413,0.0012923613,0.0024238047],"category_scores_gemma":[0.0009380861,0.00041789122,0.0003889018,0.00020278385,0.0005745293,0.0011569792,0.0005824824,0.00045682292,0.0011676797],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042774563,0.00018702832,0.0022549802,0.00041259223,0.00007018132,0.00044078767,0.0003866254,0.038186733,0.7782551,0.0075856936,0.0027132002,0.16907932],"study_design_scores_gemma":[0.00016146184,0.004202657,0.006864468,0.00014110863,0.00016324659,0.0019754288,0.00018529584,0.19458532,0.7301843,0.0047841,0.056635436,0.00011723456],"about_ca_topic_score_codex":0.00059631,"about_ca_topic_score_gemma":0.0005575787,"teacher_disagreement_score":0.0024238047,"about_ca_system_score_codex":0.00053701224,"about_ca_system_score_gemma":0.0008467537,"threshold_uncertainty_score":0.008108377},"labels":[],"label_agreement":null},{"id":"W2106845090","doi":"10.1144/sp384.19","title":"Issues and opportunities in urban forensic geology","year":2013,"lang":"en","type":"article","venue":"Geological Society London Special Publications","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Burnaby Hospital","funders":"","keywords":"Forensic science; Geology; Earth science; Environmental planning; Archaeology; Geography","score_opus":0.03670907700925788,"score_gpt":0.25779492760753175,"score_spread":0.22108585059827388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106845090","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013722893,0.080236964,0.017278003,0.8181689,0.0030636652,0.00007368011,0.00017550625,0.00014458975,0.06713583],"genre_scores_gemma":[0.69066083,0.13908187,0.055301066,0.0666429,0.013268344,0.000292557,0.00035025942,0.00020508516,0.03419714],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9900637,0.00656093,0.00044041342,0.0006359147,0.0014290244,0.00086989475],"domain_scores_gemma":[0.96264225,0.023324395,0.0022711563,0.003248829,0.005272882,0.0032404647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.024979128,0.0005498897,0.00077341514,0.0040004016,0.005834363,0.011788432,0.004341652,0.009088172,0.01521817],"category_scores_gemma":[0.024930602,0.0005088831,0.0005087211,0.003382574,0.02898311,0.012006038,0.011856633,0.0062086815,0.0022203804],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004800451,0.000087566674,0.007291787,0.0012264424,0.000021622947,0.0027703082,0.013210821,0.0011994342,0.0003418726,0.5412173,0.09948026,0.33310464],"study_design_scores_gemma":[0.000009010974,0.000047349586,0.0049062194,0.002791036,0.000010309903,0.0043304996,0.058740586,0.00075891666,0.0003266227,0.46137407,0.46664435,0.00006104377],"about_ca_topic_score_codex":0.0076514184,"about_ca_topic_score_gemma":0.010743324,"teacher_disagreement_score":0.024979128,"about_ca_system_score_codex":0.0042624,"about_ca_system_score_gemma":0.011354728,"threshold_uncertainty_score":0.13210386},"labels":[],"label_agreement":null},{"id":"W2107872593","doi":"10.1109/tgrs.2006.870402","title":"Derivation and comparison of SAR and frequency-wavenumber migration within a common inverse scalar wave problem formulation","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Geoscience and Remote Sensing","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Inverse problem; Scalar (mathematics); Wavenumber; Synthetic aperture radar; Integral equation; Wave equation; Ground-penetrating radar; Inverse scattering problem; Fourier transform; Inverse; Radar imaging; Algorithm; Mathematical analysis; Radar; Applied mathematics; Mathematics; Computer science; Physics; Geometry; Optics; Artificial intelligence","score_opus":0.019247811419814166,"score_gpt":0.2508513313475992,"score_spread":0.23160351992778502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107872593","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012074,0.0016835079,0.991947,0.00016798392,0.00011123812,0.000025202287,0.000026614478,0.000079968064,0.004751044],"genre_scores_gemma":[0.049703438,0.008616094,0.9324108,0.00024442174,0.00028125578,0.00021160686,0.00023412025,0.0002000872,0.008098236],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995074,0.00011986906,0.00004198636,0.000059671864,0.00025628996,0.000014799615],"domain_scores_gemma":[0.99916875,0.00037924288,0.00009426849,0.00008418033,0.00026021615,0.00001340092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084810425,0.0007850732,0.00059011194,0.0007806196,0.00017655834,0.001181255,0.0008908407,0.0009351083,0.00185457],"category_scores_gemma":[0.002656246,0.00030390956,0.0005993116,0.0010367107,0.00071794185,0.0016825157,0.00075217994,0.0012832786,0.0016609415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003299131,0.00006843831,0.00062613585,0.0011948853,0.00006228694,0.0005324705,0.00032925114,0.15186659,0.015206169,0.4613375,0.0054198904,0.36332348],"study_design_scores_gemma":[0.000023872857,0.0002667774,0.0011714286,0.00028443788,0.00005371808,0.002628217,0.00019445375,0.73781985,0.0138786435,0.14915214,0.09444954,0.000076919794],"about_ca_topic_score_codex":0.0005387425,"about_ca_topic_score_gemma":0.00062112877,"teacher_disagreement_score":0.00185457,"about_ca_system_score_codex":0.0003624622,"about_ca_system_score_gemma":0.0007740728,"threshold_uncertainty_score":0.0062041283},"labels":[],"label_agreement":null},{"id":"W2109112241","doi":"10.1109/tgrs.2010.2047726","title":"Time-Reversal Ground-Penetrating Radar: Range Estimation With Cramér–Rao Lower Bounds","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Geoscience and Remote Sensing","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Ground-penetrating radar; Cramér–Rao bound; Estimator; Mean squared error; Upper and lower bounds; Radar; Range (aeronautics); Algorithm; Geology; Mathematics; Statistics; Computer science; Engineering; Telecommunications; Mathematical analysis","score_opus":0.007260213004883655,"score_gpt":0.2265122647477336,"score_spread":0.21925205174284992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109112241","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013411312,0.0005729695,0.99740016,0.00004777957,0.00002007468,0.000009688354,0.000014920882,0.0001608564,0.000432557],"genre_scores_gemma":[0.101639435,0.0022743198,0.8933643,0.00020356127,0.0002087454,0.00013452486,0.00024923086,0.0001858039,0.0017400661],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970886,0.00087154703,0.00015035899,0.00040890876,0.0013680501,0.00011252447],"domain_scores_gemma":[0.9931645,0.003790445,0.0008132072,0.0008399887,0.0013048209,0.00008699024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029771195,0.0014266152,0.000938822,0.0012627183,0.00028134897,0.001294831,0.0012563374,0.001444524,0.0013502307],"category_scores_gemma":[0.018569639,0.00072858244,0.00053368474,0.0017204275,0.00082722935,0.002510871,0.0012260095,0.0017636527,0.0014713935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003629447,0.00010216386,0.0021343105,0.0008036201,0.00020495447,0.0002519147,0.00014331836,0.32630244,0.039859124,0.054349594,0.005369203,0.5701165],"study_design_scores_gemma":[0.000025662279,0.00013283314,0.0009238236,0.00006238561,0.00005335248,0.0005196959,0.000027734022,0.9547462,0.026309395,0.0085676545,0.008565134,0.00006605907],"about_ca_topic_score_codex":0.0015567769,"about_ca_topic_score_gemma":0.0014258045,"teacher_disagreement_score":0.0029771195,"about_ca_system_score_codex":0.00043641365,"about_ca_system_score_gemma":0.0010169239,"threshold_uncertainty_score":0.015744686},"labels":[],"label_agreement":null},{"id":"W2109589547","doi":"10.1109/mei.2010.5482785","title":"Synthetic aperture ultrasound imaging of XLPE insulation of underground power cables","year":2010,"lang":"en","type":"article","venue":"IEEE Electrical Insulation Magazine","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CancerCare Manitoba; Manitoba Hydro; University of Manitoba","funders":"","keywords":"Nondestructive testing; Ground-penetrating radar; Power cable; Ultrasound; Engineering; Synthetic aperture radar; Ultrasonic imaging; Forensic engineering; Materials science; Electrical engineering; Acoustics; Radar; Geology; Composite material; Remote sensing; Telecommunications","score_opus":0.006687320995930528,"score_gpt":0.23564946444044504,"score_spread":0.22896214344451452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109589547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9077254,0.0015733364,0.085348725,0.00019512199,0.000028587257,0.000020931724,0.00007309431,0.00014646708,0.0048883045],"genre_scores_gemma":[0.96081644,0.0012866103,0.03431481,0.00006851651,0.000047705635,0.000012604896,0.00006153624,0.000025316827,0.0033663795],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999254,0.000017947412,0.0000034358973,0.000011152116,0.000034159853,0.000007847256],"domain_scores_gemma":[0.99983466,0.00009837422,0.000023800343,0.000012160432,0.000020460162,0.000010460786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001463862,0.00017813181,0.00011239871,0.0002417497,0.00007147604,0.00023991826,0.00009436529,0.00024096247,0.0010664988],"category_scores_gemma":[0.00044628794,0.00010497123,0.000051795352,0.00014807435,0.0003040081,0.00046535808,0.0002162183,0.00017124318,0.0001430749],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011225706,0.00001104257,0.0005849106,0.000095327865,0.0000036741949,0.0002436326,0.00013822861,0.0015601745,0.9729997,0.0006896814,0.00008948556,0.023471793],"study_design_scores_gemma":[0.000035796846,0.00062720716,0.015586878,0.000052549556,0.00001697007,0.0061585684,0.00040717746,0.031245688,0.93787444,0.001412129,0.0065625114,0.000020105448],"about_ca_topic_score_codex":0.00007957172,"about_ca_topic_score_gemma":0.00014387892,"teacher_disagreement_score":0.0010664988,"about_ca_system_score_codex":0.00007413744,"about_ca_system_score_gemma":0.000082828315,"threshold_uncertainty_score":0.0035678148},"labels":[],"label_agreement":null},{"id":"W2110504037","doi":"10.1061/9780784479360.100","title":"Looking Past the Pipe Wall: Quantifying Pipe Corrosion and Deterioration with Pipe Penetrating Radar","year":2015,"lang":"en","type":"article","venue":"Pipelines 2015","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dawson College","funders":"","keywords":"Rebar; Water pipe; Pipe; Ground-penetrating radar; Trenchless technology; Corrosion; Canalisation; Materials science; Geotechnical engineering; Structural engineering; Piping; Forensic engineering; Geology; Pipeline transport; Composite material; Engineering; Radar; Mechanical engineering","score_opus":0.04385049583938138,"score_gpt":0.28953112711219875,"score_spread":0.24568063127281736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110504037","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9719962,0.0003446505,0.025478736,0.000033971628,0.00000783509,0.00004374224,0.00017576352,0.00024758797,0.0016714677],"genre_scores_gemma":[0.969452,0.0004049658,0.02869538,0.00003264284,0.000008239177,0.0000228647,0.00019886131,0.00002155962,0.0011635154],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99975234,0.00003626495,0.000011892039,0.000059649323,0.000110215806,0.000029593004],"domain_scores_gemma":[0.9997491,0.000051273324,0.0000675043,0.000014179793,0.00010092162,0.000017053131],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040514214,0.0003511106,0.00027364262,0.00092712085,0.00010961515,0.00042654746,0.00028582025,0.0005171142,0.0003381306],"category_scores_gemma":[0.0005712425,0.00029479773,0.00015882739,0.0005777043,0.00016547802,0.00047421624,0.0002984711,0.00025440587,0.0002385142],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003455435,0.00021720825,0.387103,0.00036037204,0.00008111806,0.00081066706,0.0009334793,0.019375967,0.45737746,0.00025340365,0.00078220846,0.13235964],"study_design_scores_gemma":[0.000018816272,0.0010456647,0.8212877,0.000054413777,0.00011592706,0.0011820322,0.0009283766,0.097120464,0.07556611,0.00019730827,0.0024242068,0.00005904645],"about_ca_topic_score_codex":0.0028599359,"about_ca_topic_score_gemma":0.005422079,"teacher_disagreement_score":0.0028599359,"about_ca_system_score_codex":0.00015026765,"about_ca_system_score_gemma":0.00010573867,"threshold_uncertainty_score":0.005686581},"labels":[],"label_agreement":null},{"id":"W2110720898","doi":"10.1109/igarss.1990.688509","title":"Inversion Of Synthetic Aperture Radar Data For Surface Scattering","year":2005,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Synthetic aperture radar; Extrapolation; Inversion (geology); Radar imaging; Azimuth; Scattering; Side looking airborne radar; Computation; Algorithm; Computer science; Inverse synthetic aperture radar; Geology; Radar; Remote sensing; Optics; Continuous-wave radar; Physics; Mathematics; Mathematical analysis; Telecommunications","score_opus":0.031265546727843575,"score_gpt":0.272976454534793,"score_spread":0.24171090780694945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110720898","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19101244,0.000092186674,0.80354387,0.00016555729,0.000062280924,0.000039523016,0.00029192196,0.00059804774,0.0041941837],"genre_scores_gemma":[0.8515217,0.000096424345,0.1464856,0.00002968019,0.00002056424,0.000034193665,0.0004939693,0.000055086944,0.0012627874],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99985445,0.000028614959,0.0000075954317,0.0000146676475,0.000082029175,0.000012622376],"domain_scores_gemma":[0.9997081,0.00011406107,0.000027283202,0.000048723407,0.000090715585,0.00001110473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038376983,0.00024070183,0.00024300965,0.00028208407,0.00012567225,0.00040991371,0.00022326368,0.000211724,0.001128058],"category_scores_gemma":[0.0013537155,0.00013857757,0.00026813673,0.00023539626,0.00018545866,0.00035532968,0.00026330183,0.0003415701,0.0003577861],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010541691,0.000050060786,0.0019111873,0.000094082745,0.00003483343,0.00013822345,0.00006195209,0.8461463,0.053899724,0.01771599,0.0012350013,0.07860728],"study_design_scores_gemma":[0.000007215963,0.000009879584,0.0002591877,0.0000026822538,0.0000019864083,0.00001961259,0.000007917329,0.9913823,0.0061310427,0.0014284495,0.00074585644,0.000003887011],"about_ca_topic_score_codex":0.0012119048,"about_ca_topic_score_gemma":0.0011023475,"teacher_disagreement_score":0.0012119048,"about_ca_system_score_codex":0.00020977367,"about_ca_system_score_gemma":0.00049453677,"threshold_uncertainty_score":0.0037736893},"labels":[],"label_agreement":null},{"id":"W2111378115","doi":"","title":"Investigations using ground penetrating radar (GPR) at a maya plaza complex in belize, Central America","year":2004,"lang":"en","type":"article","venue":"International Conference on Grounds Penetrating Radar","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Ground-penetrating radar; Geology; Maya; Archaeology; Radar; Excavation; Remote sensing; Geography; Computer science; Geotechnical engineering","score_opus":0.0766137189451983,"score_gpt":0.3141921370275597,"score_spread":0.2375784180823614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111378115","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982052,0.000053784603,0.00024003355,0.00005976754,0.0000013620948,0.000024194163,0.00007915353,0.000012867966,0.0013237329],"genre_scores_gemma":[0.99829274,0.000058671816,0.00070059294,0.000022277296,0.0000022921226,0.00001159113,0.00012378761,0.0000020476366,0.00078608136],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997354,0.00004793983,0.0000093478,0.000063321626,0.00007549075,0.00006852762],"domain_scores_gemma":[0.9996915,0.0000658501,0.00007750267,0.00002075376,0.00009732831,0.000047086713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039822617,0.00024531287,0.00021611007,0.0017084252,0.001934399,0.0006326139,0.00059743214,0.00039091567,0.0007431857],"category_scores_gemma":[0.0006766653,0.0003203563,0.00012785375,0.0014559161,0.0014300873,0.0005697145,0.00076821604,0.0002542475,0.000104418454],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003376722,0.00056942855,0.8701306,0.00016209362,0.00009724045,0.0070189494,0.035415944,0.0025381874,0.04280372,0.0012409413,0.0010815248,0.03860364],"study_design_scores_gemma":[0.000010060455,0.00019711554,0.9877379,0.000009325684,0.000016024242,0.00049436034,0.0078707645,0.00081118045,0.00065496884,0.000058735888,0.002126315,0.000013379539],"about_ca_topic_score_codex":0.3312369,"about_ca_topic_score_gemma":0.6298786,"teacher_disagreement_score":0.3312369,"about_ca_system_score_codex":0.0030530684,"about_ca_system_score_gemma":0.0015773921,"threshold_uncertainty_score":0.65861773},"labels":[],"label_agreement":null},{"id":"W2112599068","doi":"10.1109/maes.2005.1432570","title":"Next generation of GUIDAR technology","year":2005,"lang":"en","type":"article","venue":"IEEE Aerospace and Electronic Systems Magazine","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Senstar (Canada)","funders":"","keywords":"Electronic engineering; Duty cycle; Coaxial cable; Engineering; Chip; Field-programmable gate array; Pulse compression; Electrical engineering; Radar; Computer science; Telecommunications; Computer hardware","score_opus":0.021522476554396715,"score_gpt":0.24449176942160483,"score_spread":0.22296929286720812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112599068","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04424917,0.03450478,0.30569983,0.015508729,0.010878657,0.0004928552,0.0016997344,0.011169861,0.5757964],"genre_scores_gemma":[0.31568035,0.0313297,0.2914442,0.016571386,0.003192011,0.00060456403,0.0070430753,0.002054752,0.33207992],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987393,0.0001681568,0.000041182353,0.0001851737,0.0006640489,0.0002022062],"domain_scores_gemma":[0.999037,0.000086859436,0.000067344685,0.00016043975,0.00051283516,0.00013558967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013345204,0.00075777515,0.0005897566,0.001343568,0.00070001965,0.0020555994,0.0015215492,0.0022057237,0.02193952],"category_scores_gemma":[0.0013763582,0.00038631543,0.0006852144,0.0007133839,0.0006343594,0.0038427976,0.002302211,0.0016857802,0.016348084],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004912396,0.00016713825,0.002052442,0.00064365857,0.00005893456,0.0010561558,0.0006664097,0.0017255822,0.0807401,0.21435332,0.26757762,0.43046743],"study_design_scores_gemma":[0.000039283193,0.00043919552,0.0005692593,0.00011900673,0.000036060563,0.0013135605,0.00009647849,0.0044818344,0.024344701,0.011546282,0.9569577,0.00005661816],"about_ca_topic_score_codex":0.0006473267,"about_ca_topic_score_gemma":0.00071143947,"teacher_disagreement_score":0.02193952,"about_ca_system_score_codex":0.0010743743,"about_ca_system_score_gemma":0.0013349551,"threshold_uncertainty_score":0.073395014},"labels":[],"label_agreement":null},{"id":"W2112668878","doi":"10.1117/12.533691","title":"Surveillance through concrete walls","year":2004,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Radar; Radar imaging; Synthetic aperture radar; Radar lock-on; Computer science; Fire-control radar; Remote sensing; Inverse synthetic aperture radar; 3D radar; Continuous-wave radar; Bistatic radar; Acoustics; Pulse-Doppler radar; Radar engineering details; Ultra-wideband; Antenna (radio); Multistatic radar; Geology; Computer vision; Physics; Telecommunications","score_opus":0.012907810791252269,"score_gpt":0.24212010553105984,"score_spread":0.22921229473980756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112668878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.754761,0.0017092583,0.22560076,0.00013572653,0.00010936837,0.000049695096,0.00009844613,0.0006831151,0.016852677],"genre_scores_gemma":[0.9577327,0.00097644643,0.037917566,0.000056567467,0.000022420572,0.000015874099,0.0001370241,0.00003625988,0.0031051848],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997664,0.000043701923,0.000008866992,0.000042488966,0.00007925284,0.000059381015],"domain_scores_gemma":[0.99960035,0.000170959,0.0000960235,0.000043139626,0.000050637853,0.000038877035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023910301,0.0004508789,0.0002548251,0.00026490504,0.00018913619,0.0004881295,0.00021868221,0.0004501332,0.0010623443],"category_scores_gemma":[0.0007675228,0.00023720044,0.0002567745,0.00016168172,0.00030388756,0.00075940386,0.00070809596,0.00028452257,0.0004308769],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005336159,0.000087102424,0.006150421,0.00024122359,0.00006737651,0.0014151493,0.00046823258,0.105039,0.7286786,0.00634365,0.0010597553,0.14991595],"study_design_scores_gemma":[0.00008681287,0.0016063624,0.019028593,0.00019336434,0.00011157905,0.0062903566,0.000756663,0.34206796,0.6017007,0.0047918577,0.023233306,0.0001324088],"about_ca_topic_score_codex":0.00055218674,"about_ca_topic_score_gemma":0.0007062312,"teacher_disagreement_score":0.0010623443,"about_ca_system_score_codex":0.00016651697,"about_ca_system_score_gemma":0.0002444017,"threshold_uncertainty_score":0.0035538673},"labels":[],"label_agreement":null},{"id":"W2112792771","doi":"10.1071/aseg2006ab086","title":"In-Mine Geophysics – Cutting costs and finding ore","year":2006,"lang":"en","type":"article","venue":"ASEG Extended Abstracts","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Vale (Canada)","funders":"","keywords":"Work (physics); Borehole; Production (economics); Mining engineering; Geology; Variety (cybernetics); Geophysics; Engineering; Computer science; Artificial intelligence; Geotechnical engineering","score_opus":0.00924796145073995,"score_gpt":0.25291323376220004,"score_spread":0.2436652723114601,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112792771","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18324591,0.04197933,0.2145552,0.07030383,0.002657427,0.00041874626,0.0032232911,0.0033124122,0.48030388],"genre_scores_gemma":[0.5054289,0.03175625,0.2027728,0.0029187326,0.0010587713,0.00013071949,0.0030908992,0.0010671206,0.25177577],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99796474,0.00044898663,0.00008745389,0.00014500288,0.0012060548,0.0001478136],"domain_scores_gemma":[0.99647695,0.0010898936,0.0003157117,0.0005509676,0.0012803418,0.00028614042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019970995,0.0005810283,0.00061323104,0.0021293538,0.0010179324,0.0036436787,0.0016445592,0.0011783633,0.02381828],"category_scores_gemma":[0.004271192,0.00039085286,0.0002630928,0.0025352982,0.0010739062,0.0031582369,0.0014573517,0.00075751124,0.005750658],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020035457,0.00016605273,0.013845502,0.000773986,0.00005465857,0.00036439722,0.00055835216,0.0019644496,0.007623092,0.03017668,0.059734095,0.8845385],"study_design_scores_gemma":[0.00004928277,0.0003069874,0.04337445,0.00042556244,0.00006775903,0.002747749,0.004411733,0.010082135,0.02487699,0.060367316,0.85321605,0.0000739499],"about_ca_topic_score_codex":0.0059491512,"about_ca_topic_score_gemma":0.014495376,"teacher_disagreement_score":0.02381828,"about_ca_system_score_codex":0.0022264717,"about_ca_system_score_gemma":0.0029302086,"threshold_uncertainty_score":0.079680085},"labels":[],"label_agreement":null},{"id":"W2113629894","doi":"10.1071/aseg2013ab178","title":"Correlating ERT with AEM in a rock slide mapping project, same shape but different quantities","year":2013,"lang":"en","type":"article","venue":"ASEG Extended Abstracts","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Emergent BioSolutions (Canada)","funders":"","keywords":"Geology; Phyllite; Bedrock; Outcrop; Metamorphic rock; Thrust fault; Fault (geology); Gneiss; Electrical resistivity and conductivity; Electrical resistivity tomography; Aeromagnetic survey; Geomorphology; Seismology; Geophysics; Petrology; Schist","score_opus":0.022621921762940946,"score_gpt":0.24334325308246668,"score_spread":0.22072133131952573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113629894","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947889,0.000032669963,0.0018393792,0.000021504542,0.000007956583,0.000012805557,0.0015648209,0.000107477295,0.0016245359],"genre_scores_gemma":[0.9924793,0.00003041909,0.003946251,0.0000071046907,0.0000032450555,0.0000145719305,0.0023008676,0.000037916863,0.0011802824],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99959546,0.000052860814,0.000025364297,0.00012030875,0.0001411972,0.00006482635],"domain_scores_gemma":[0.9996069,0.00005730293,0.00007217524,0.000053709588,0.00017099257,0.00003894275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043864435,0.0002690571,0.00018231393,0.0007977077,0.00024814942,0.0005984403,0.0002650028,0.00036591236,0.0014554808],"category_scores_gemma":[0.00078684714,0.00013287547,0.000166057,0.00078986865,0.00026732092,0.00029677027,0.00045577445,0.00017405969,0.00057170057],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002973092,0.00017017094,0.87938184,0.00010154784,0.000077587254,0.0008819916,0.0014675732,0.013250703,0.02948622,0.0003751021,0.0018005391,0.07270945],"study_design_scores_gemma":[0.0000126789055,0.00011438842,0.9683186,0.000025868296,0.000027855618,0.00028038252,0.0010307007,0.018991917,0.0062374505,0.00017542226,0.0047645373,0.000020127083],"about_ca_topic_score_codex":0.021374919,"about_ca_topic_score_gemma":0.05783013,"teacher_disagreement_score":0.021374919,"about_ca_system_score_codex":0.00034743606,"about_ca_system_score_gemma":0.00021819108,"threshold_uncertainty_score":0.042500973},"labels":[],"label_agreement":null},{"id":"W2113716101","doi":"10.1002/2013jb010885","title":"Anomalous surface heave induced by enhanced oil recovery in northern Alberta: InSAR observations and numerical modeling","year":2014,"lang":"en","type":"article","venue":"Journal of Geophysical Research Solid Earth","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"Natural Resources Canada; Canadian Space Agency","keywords":"Steam injection; Wellhead; Geology; Injector; Oil sands; Interferometric synthetic aperture radar; Petroleum engineering; Asphalt; Geotechnical engineering; Petrology; Hydrology (agriculture); Synthetic aperture radar","score_opus":0.04597185728305152,"score_gpt":0.3208872141597943,"score_spread":0.2749153568767428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113716101","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99790275,0.00003006253,0.0004328664,0.000061296334,0.0000032283142,0.0000064741675,0.0003626901,0.00009039024,0.0011102662],"genre_scores_gemma":[0.9989761,0.000034246394,0.0003874741,0.000007873283,0.0000020020896,0.0000032095127,0.0002734414,0.0000070562464,0.00030856195],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992454,0.0000070934298,0.0000024671044,0.00001598636,0.000020932666,0.000028897686],"domain_scores_gemma":[0.9998915,0.000023741053,0.000018351246,0.000011119115,0.000027184931,0.000028108441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021086255,0.0004476765,0.00021227442,0.00050593016,0.00066926057,0.0006528308,0.00082615216,0.00046493555,0.0008518659],"category_scores_gemma":[0.0004376808,0.0003245432,0.00032578135,0.000774548,0.00067293685,0.00022698144,0.000280145,0.0003055586,0.00012998619],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040826763,0.00029970735,0.2374152,0.000049728424,0.00010699289,0.0005042319,0.00026434442,0.7343655,0.013376321,0.00093603635,0.0012957209,0.010977905],"study_design_scores_gemma":[0.000061771505,0.000026670661,0.1446501,0.0000053082617,0.000022765465,0.00002329369,0.00019479234,0.8531993,0.0011104604,0.00018509472,0.0004879685,0.000032408505],"about_ca_topic_score_codex":0.85005355,"about_ca_topic_score_gemma":0.7958491,"teacher_disagreement_score":0.14994645,"about_ca_system_score_codex":0.004580347,"about_ca_system_score_gemma":0.002561442,"threshold_uncertainty_score":0.301659},"labels":[],"label_agreement":null},{"id":"W2114145645","doi":"10.2528/pierl12050801","title":"DISTORTION ANALYSIS OF ELECTROMAGNETIC FIELD SENSORS IN LAGUERRE FUNCTIONS SUBSPACE","year":2012,"lang":"en","type":"article","venue":"Progress In Electromagnetics Research Letters","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Laguerre polynomials; Subspace topology; Distortion (music); Acoustics; Electromagnetic field; Physics; Mathematics; Electronic engineering; Mathematical analysis; Engineering","score_opus":0.024552833182101465,"score_gpt":0.3387571363574631,"score_spread":0.31420430317536163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114145645","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017412933,0.00017217462,0.9808775,0.000038796723,0.000019528658,0.000014394201,0.000026347061,0.00008304195,0.0013552131],"genre_scores_gemma":[0.7447103,0.00111643,0.24712457,0.000070509486,0.00006560347,0.00005876256,0.0002399437,0.00011968051,0.0064942143],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99947375,0.000116425486,0.000022967357,0.00007078453,0.000282759,0.000033373133],"domain_scores_gemma":[0.99924695,0.00029795038,0.000118715776,0.00009962285,0.0002075796,0.000029083343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053482107,0.0005444527,0.000408069,0.00047999198,0.00018615651,0.00061561004,0.00052125705,0.0003847094,0.0008770453],"category_scores_gemma":[0.0014466791,0.0002002688,0.00049601914,0.00046748176,0.0005971339,0.0009720386,0.00041410487,0.00070806936,0.0002640935],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032634925,0.00007302097,0.0021145802,0.0002915119,0.000110749475,0.00046700053,0.00031397428,0.48414767,0.18520518,0.18965127,0.0013028606,0.13599584],"study_design_scores_gemma":[0.0000024351787,0.00005254859,0.0004210855,0.0000050544427,0.000005834853,0.00015158269,0.000019234834,0.9716571,0.019387055,0.00712328,0.001155297,0.00001950901],"about_ca_topic_score_codex":0.00084855,"about_ca_topic_score_gemma":0.0005132009,"teacher_disagreement_score":0.0008770453,"about_ca_system_score_codex":0.00065959705,"about_ca_system_score_gemma":0.00036548008,"threshold_uncertainty_score":0.004785776},"labels":[],"label_agreement":null},{"id":"W2115563030","doi":"10.1109/lgrs.2010.2066545","title":"Numerical Simulations of Borehole Radar Detection for Metal Ore","year":2010,"lang":"en","type":"article","venue":"IEEE Geoscience and Remote Sensing Letters","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Borehole; Overburden; Ground-penetrating radar; Azimuth; Radar; Drilling; Geophysics; Mining engineering; Geotechnical engineering","score_opus":0.011380188111786918,"score_gpt":0.24864291570589006,"score_spread":0.23726272759410313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115563030","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9310026,0.0002091785,0.053070843,0.0004751136,0.00007898783,0.00007149048,0.00060526474,0.00033028063,0.014156163],"genre_scores_gemma":[0.98870426,0.000048333506,0.009832804,0.000045811197,0.000005476478,0.000047838563,0.00022301772,0.000021812728,0.001070705],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998399,0.000039899813,0.000008183807,0.000022441442,0.000043324304,0.00004629947],"domain_scores_gemma":[0.99884254,0.00072862563,0.00011292415,0.000046920544,0.00017281373,0.00009624461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033453587,0.00046879525,0.0005128488,0.00040133027,0.00054579607,0.0005115882,0.00083069346,0.0014037665,0.0023588727],"category_scores_gemma":[0.0017010632,0.00028132912,0.00048207093,0.00042406924,0.00075810234,0.00046538163,0.0004899547,0.00055599294,0.00013211742],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073756615,0.000048840095,0.002447491,0.00002422473,0.000010674541,0.00009210595,0.00004721274,0.9933988,0.0015225176,0.0012557843,0.0001491595,0.00092954276],"study_design_scores_gemma":[0.000012370425,0.0000149903435,0.00026315288,0.0000024479048,0.0000021524845,0.000007433735,0.000018954162,0.9991721,0.0002624138,0.00015147236,0.00008887217,0.000003662589],"about_ca_topic_score_codex":0.01735568,"about_ca_topic_score_gemma":0.008059769,"teacher_disagreement_score":0.01735568,"about_ca_system_score_codex":0.0007101559,"about_ca_system_score_gemma":0.00070880423,"threshold_uncertainty_score":0.0345093},"labels":[],"label_agreement":null},{"id":"W2116091185","doi":"10.1190/1.3464329","title":"Quantitative analysis of water-content estimation errors using ground-penetrating radar data and a low-loss approximation","year":2010,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Institut National de la Recherche Scientifique","funders":"","keywords":"Ground-penetrating radar; Attenuation; Permittivity; Geology; Lossy compression; Dielectric loss; Context (archaeology); Approximation error; Observational error; Regional geology; Tangent; Electrical resistivity and conductivity; Ground truth; Mathematical analysis; Dielectric; Mineralogy; Mathematics; Radar; Materials science; Physics; Optics; Geometry; Computer science; Statistics; Hydrogeology; Geotechnical engineering; Telecommunications; Artificial intelligence","score_opus":0.06213299662497543,"score_gpt":0.31003647838101334,"score_spread":0.2479034817560379,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116091185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76798224,0.0004708729,0.22958381,0.00013984079,0.00004586058,0.00005547294,0.00030539406,0.0005315247,0.00088492257],"genre_scores_gemma":[0.95239776,0.00013237001,0.04661596,0.000029415905,0.000012228448,0.000026489026,0.00041613498,0.00006293991,0.0003066152],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979842,0.00062849355,0.0001770173,0.0002677088,0.0008003445,0.00014227456],"domain_scores_gemma":[0.96968776,0.022533912,0.0024970605,0.002109414,0.0030230433,0.00014871528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006845554,0.0006851024,0.00036671275,0.0013307774,0.00017227694,0.0007377076,0.0005187636,0.00067704293,0.00036495365],"category_scores_gemma":[0.023696022,0.00024813093,0.00028937985,0.0010183656,0.0006424081,0.0012089447,0.0006754034,0.00037662082,0.0001273675],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011544385,0.00015175263,0.039772555,0.00037970676,0.00019620651,0.00051929813,0.00033344736,0.7959035,0.052588772,0.0024569863,0.00047550153,0.10606784],"study_design_scores_gemma":[0.000026520029,0.00022879589,0.028089944,0.000062695515,0.000050436538,0.00029151636,0.0001160779,0.9221466,0.047075506,0.0011606932,0.0006842241,0.00006703354],"about_ca_topic_score_codex":0.0022131316,"about_ca_topic_score_gemma":0.001382746,"teacher_disagreement_score":0.006845554,"about_ca_system_score_codex":0.00046564784,"about_ca_system_score_gemma":0.00026424517,"threshold_uncertainty_score":0.036203146},"labels":[],"label_agreement":null},{"id":"W2116109767","doi":"10.1109/icinfa.2008.4608211","title":"Small surface crack size identification based on ultrasonic energy reflection and refraction","year":2008,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Nanjing University of Information Science and Technology; University of Alberta","keywords":"Refraction; Reflection (computer programming); Ultrasonic sensor; Optics; Diffraction; Materials science; Energy (signal processing); Acoustics; Surface (topology); Physics; Computer science; Geometry; Mathematics","score_opus":0.028389352086318986,"score_gpt":0.25030463460059577,"score_spread":0.22191528251427678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116109767","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22028668,0.0011671471,0.7755878,0.00010342672,0.000060448754,0.00007237067,0.0000741609,0.00084766775,0.0018003766],"genre_scores_gemma":[0.7140753,0.00064722163,0.28393012,0.000021067719,0.000025261017,0.000040370767,0.000072752664,0.00005661387,0.0011311987],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994961,0.00010244793,0.000022969318,0.00011030425,0.00024021474,0.000027977272],"domain_scores_gemma":[0.9983884,0.00090867525,0.00016687327,0.00017147986,0.00032920853,0.00003544733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000504663,0.0005385328,0.00077300915,0.0010480109,0.00013284772,0.0004076112,0.0005978263,0.00054980454,0.00088527583],"category_scores_gemma":[0.0015780816,0.0003894572,0.00031218512,0.00046032935,0.000420469,0.0010115544,0.00042839829,0.00046065132,0.00028283786],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020935532,0.000041622472,0.0033656636,0.00025597328,0.000030375279,0.00011925487,0.00011750222,0.010698516,0.83434397,0.001156048,0.00021892178,0.14944287],"study_design_scores_gemma":[0.00003864578,0.000281361,0.009505071,0.000027031696,0.000057059882,0.0007701748,0.000068781555,0.64550006,0.3417555,0.0009369429,0.0009645234,0.00009486687],"about_ca_topic_score_codex":0.0006745208,"about_ca_topic_score_gemma":0.0012765232,"teacher_disagreement_score":0.0010480109,"about_ca_system_score_codex":0.00017360736,"about_ca_system_score_gemma":0.00021352364,"threshold_uncertainty_score":0.002961576},"labels":[],"label_agreement":null},{"id":"W2116593467","doi":"10.1071/aseg2015ab045","title":"Large depth exploration using pulsed radar","year":2015,"lang":"en","type":"article","venue":"ASEG Extended Abstracts","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Radar; Remote sensing; Geology; Computer science; Telecommunications","score_opus":0.0724938008811644,"score_gpt":0.3111754141421506,"score_spread":0.2386816132609862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116593467","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6883696,0.0017739031,0.2964769,0.00024764444,0.000049955874,0.00006803016,0.00028856323,0.00071213895,0.0120132845],"genre_scores_gemma":[0.8942137,0.00085079315,0.103057444,0.000043922166,0.000018141875,0.00003269916,0.00012524342,0.000036270278,0.0016217808],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998473,0.000027268685,0.0000045577585,0.000037719423,0.00006449283,0.000018649333],"domain_scores_gemma":[0.99984324,0.00006792603,0.000018887236,0.00003361861,0.000024378465,0.00001190197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019465791,0.00030056477,0.00023878405,0.00031266053,0.00014338587,0.00054430275,0.00035727175,0.0003291913,0.0010160794],"category_scores_gemma":[0.00039005242,0.00020235119,0.00015414186,0.00041426436,0.0002219266,0.00082450727,0.0007723096,0.0002897031,0.0003735249],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024830317,0.00007676442,0.008513851,0.00036522612,0.000038514343,0.0005929104,0.000415737,0.03118186,0.7551582,0.0049194307,0.00065734214,0.1978319],"study_design_scores_gemma":[0.000122476,0.001494782,0.032813806,0.00015578273,0.000098024444,0.0034638,0.0007239788,0.5231652,0.397953,0.016814562,0.022999808,0.00019473603],"about_ca_topic_score_codex":0.00034624175,"about_ca_topic_score_gemma":0.00048450445,"teacher_disagreement_score":0.0010160794,"about_ca_system_score_codex":0.00018501589,"about_ca_system_score_gemma":0.00017477766,"threshold_uncertainty_score":0.0033991337},"labels":[],"label_agreement":null},{"id":"W2116895285","doi":"10.1144/gsl.sp.2001.211.01.11","title":"The use and application of GPR in sandy fluvial environments: methodological considerations","year":2003,"lang":"en","type":"article","venue":"Geological Society London Special Publications","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Fluvial; Ground-penetrating radar; Geology; Environmental science; Remote sensing; Hydrology (agriculture); Earth science; Geomorphology; Computer science; Geotechnical engineering; Radar","score_opus":0.07131192586733555,"score_gpt":0.286995886286001,"score_spread":0.21568396041866544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116895285","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30733976,0.0070179533,0.6557849,0.011293181,0.00053157867,0.0030057752,0.000558376,0.00018910907,0.014279379],"genre_scores_gemma":[0.52033085,0.004702983,0.46703422,0.0014573795,0.00026325096,0.0033622356,0.00016626558,0.00007129959,0.0026115899],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9462917,0.045369912,0.00411774,0.00071021356,0.0030732546,0.00043708278],"domain_scores_gemma":[0.9003751,0.066542216,0.005693848,0.0064620744,0.020474292,0.00045243287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09840362,0.0005179124,0.00050060847,0.0015351985,0.0007724999,0.00310646,0.0022635271,0.001115749,0.0006872038],"category_scores_gemma":[0.14411673,0.00036428656,0.00045426955,0.002494743,0.0024407534,0.0014185923,0.0025117132,0.00076183095,0.00039053443],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014005469,0.000386964,0.18592781,0.005217206,0.00029523633,0.0023840345,0.014577855,0.013429636,0.034176026,0.04429316,0.0037895653,0.69412196],"study_design_scores_gemma":[0.00065421883,0.008161783,0.4775512,0.008576718,0.0011558308,0.010475875,0.0671975,0.092107356,0.12159342,0.07930157,0.13268317,0.0005413751],"about_ca_topic_score_codex":0.0062765223,"about_ca_topic_score_gemma":0.010760882,"teacher_disagreement_score":0.09840362,"about_ca_system_score_codex":0.0010614418,"about_ca_system_score_gemma":0.0023935076,"threshold_uncertainty_score":0.5204143},"labels":[],"label_agreement":null},{"id":"W2117597229","doi":"10.1190/segam2012-0763.1","title":"Development of a downhole sparker source with adjustable frequencies","year":2012,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Apache (Canada)","funders":"","keywords":"Geology; Borehole; Vertical seismic profile; Seismology; Bandwidth (computing); Computer science; Telecommunications; Geotechnical engineering","score_opus":0.018018497527844318,"score_gpt":0.2206639300893819,"score_spread":0.20264543256153758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117597229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5244594,0.00055708765,0.4615567,0.00048328846,0.0001872496,0.00062185497,0.00065241446,0.0043686526,0.0071133575],"genre_scores_gemma":[0.5545236,0.00046118122,0.43584523,0.00014726243,0.00007000654,0.0003131978,0.000980327,0.0005030818,0.0071561527],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994324,0.000027368751,0.000022816124,0.000097508564,0.0003646189,0.000055224],"domain_scores_gemma":[0.99898833,0.0002656327,0.00013425789,0.00014341404,0.00032995152,0.00013839081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007408441,0.00041148096,0.00059847336,0.0005673966,0.00031902228,0.00047012838,0.0012158493,0.00073654787,0.002220897],"category_scores_gemma":[0.0012273531,0.0003946678,0.00032118475,0.00027622058,0.0003778974,0.0011033104,0.0011043518,0.00067885686,0.0008380992],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011701784,0.00006808953,0.0008183568,0.00013426311,0.000012664046,0.0003508676,0.00018410562,0.00087989616,0.9616461,0.0011976348,0.00057004957,0.034021035],"study_design_scores_gemma":[0.00009338717,0.0011297031,0.0032117828,0.000020067908,0.00003239737,0.0012190855,0.00006353262,0.012240145,0.96017176,0.0004885053,0.02125147,0.000078077326],"about_ca_topic_score_codex":0.00028887182,"about_ca_topic_score_gemma":0.00040317953,"teacher_disagreement_score":0.002220897,"about_ca_system_score_codex":0.000260778,"about_ca_system_score_gemma":0.0005551488,"threshold_uncertainty_score":0.0074296594},"labels":[],"label_agreement":null},{"id":"W2117836138","doi":"10.2113/jeeg13.3.165","title":"Assessing The Quality of Electromagnetic Data for The Discrimination of UXO Using Figures of Merit","year":2008,"lang":"en","type":"article","venue":"Journal of Environmental and Engineering Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Environmental Security Technology Certification Program","keywords":"Geology; Quality (philosophy); Figure of merit; Data quality; Remote sensing; Seismology; Optics; Engineering; Physics","score_opus":0.06131609973487802,"score_gpt":0.30769005859076504,"score_spread":0.24637395885588703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117836138","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89652157,0.0003511039,0.09805475,0.00059666124,0.00004189179,0.000063302214,0.0003190452,0.00033056107,0.0037211217],"genre_scores_gemma":[0.978102,0.00004454628,0.02158575,0.000014083826,0.00000992809,0.0000093745075,0.00010254614,0.000022061327,0.00010973773],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99778795,0.0009585081,0.00014248202,0.0001965813,0.00078491325,0.0001295129],"domain_scores_gemma":[0.9743849,0.017673941,0.003437974,0.0014335338,0.0026901944,0.00037952402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007489426,0.0003486426,0.0005393259,0.0032619704,0.0005086462,0.002067049,0.00064531516,0.0009640767,0.0008483123],"category_scores_gemma":[0.041104503,0.00021903547,0.00039941122,0.0015531449,0.00086478534,0.001612533,0.0007368985,0.0005450023,0.00017829392],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005278951,0.00015815016,0.42145687,0.00024216837,0.00022869876,0.00031280812,0.0005233022,0.4484181,0.02281522,0.013856889,0.0018620377,0.089597814],"study_design_scores_gemma":[0.000019318863,0.0001555749,0.097968206,0.00006913371,0.00003365159,0.00021480436,0.00028890616,0.88463706,0.009867723,0.0051634335,0.0015099488,0.000072195275],"about_ca_topic_score_codex":0.0041563525,"about_ca_topic_score_gemma":0.0037405202,"teacher_disagreement_score":0.007489426,"about_ca_system_score_codex":0.001081336,"about_ca_system_score_gemma":0.0006235868,"threshold_uncertainty_score":0.03960836},"labels":[],"label_agreement":null},{"id":"W2117875200","doi":"10.1190/1.3571273","title":"Heterogeneous aquifer characterization from ground-penetrating radar tomography and borehole hydrogeophysical data using nonlinear Bayesian simulations","year":2011,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal; Institut National de la Recherche Scientifique","funders":"","keywords":"Ground-penetrating radar; Hydraulic conductivity; Aquifer; Geology; Borehole; Hydrogeology; Soil science; Nonlinear system; Aquifer properties; Groundwater flow; Geotechnical engineering; Groundwater; Radar; Groundwater recharge; Computer science; Soil water","score_opus":0.04664521104787706,"score_gpt":0.25740941997109185,"score_spread":0.2107642089232148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117875200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84230006,0.000042849806,0.15598434,0.00010900805,0.000004885406,0.000046586003,0.00024662877,0.00016758069,0.0010981236],"genre_scores_gemma":[0.98916584,0.000017611253,0.010438225,0.000010548624,0.000002338047,0.000017603228,0.0001425226,0.000010088093,0.00019511506],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998318,0.00006419808,0.00000896937,0.00003898968,0.000031571883,0.000024522686],"domain_scores_gemma":[0.9992532,0.00041920194,0.00013500707,0.000049374845,0.00010306464,0.000040173287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007141104,0.00042774316,0.00028592465,0.0007189089,0.00023415971,0.0005769713,0.0005381203,0.0006303564,0.0005064001],"category_scores_gemma":[0.0021838206,0.00030355688,0.0004915028,0.00045474726,0.00056374463,0.0006438286,0.00044422873,0.00033029125,0.000062153784],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016395574,0.000017744453,0.003005218,0.0000045049965,0.000008640586,0.000022422151,0.000012340613,0.9943193,0.00060137786,0.00031883214,0.000018745239,0.0016543271],"study_design_scores_gemma":[0.0000019260592,0.0000018293285,0.0004850695,6.3016086e-7,9.588749e-7,0.0000015356818,0.0000029479004,0.99927706,0.00010363116,0.000111523645,0.000011178383,0.0000016958018],"about_ca_topic_score_codex":0.0567916,"about_ca_topic_score_gemma":0.041231073,"teacher_disagreement_score":0.0567916,"about_ca_system_score_codex":0.0012115032,"about_ca_system_score_gemma":0.001041249,"threshold_uncertainty_score":0.11292207},"labels":[],"label_agreement":null},{"id":"W2118007367","doi":"","title":"Marine CSEM scattered subsurface response detection using total-field scattered-field FDTD formulation","year":2011,"lang":"en","type":"article","venue":"European Conference on Antennas and Propagation","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Finite-difference time-domain method; Electromagnetics; Field (mathematics); Computational electromagnetics; Finite difference method; Geology; Electromagnetic field; Computer simulation; Computer science; Electronic engineering; Optics; Engineering; Physics; Mathematics; Mathematical analysis; Simulation","score_opus":0.056726014780851146,"score_gpt":0.25581264529311887,"score_spread":0.19908663051226771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118007367","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011312416,0.00003743377,0.98518735,0.00005714003,0.000021257496,0.00001707495,0.00008757632,0.0006855558,0.0025942354],"genre_scores_gemma":[0.24979067,0.00017805122,0.74374515,0.00008735888,0.000018460349,0.00007315805,0.0004519818,0.00021018532,0.0054449732],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998714,0.000020370533,0.0000056771323,0.00001702564,0.00007842123,0.0000070337205],"domain_scores_gemma":[0.9997615,0.000080723825,0.000021995587,0.00003179573,0.00009323529,0.000010713927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021831761,0.00038932337,0.0002319658,0.00034596998,0.00011748495,0.00045494759,0.0004335137,0.0004167999,0.0024482626],"category_scores_gemma":[0.0009170155,0.00017445948,0.00023166962,0.0003247088,0.0002246557,0.00043644503,0.0005268214,0.00037681998,0.0007847818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026259376,0.000086306914,0.0023034664,0.000374471,0.000049422557,0.0004107707,0.0002948444,0.26626703,0.38273934,0.03314745,0.009197548,0.3048668],"study_design_scores_gemma":[0.000015631877,0.00003761655,0.0004083781,0.00001631669,0.000008433312,0.00025877144,0.00003818357,0.9190863,0.06961029,0.0025425279,0.0079579735,0.000019606281],"about_ca_topic_score_codex":0.00085604424,"about_ca_topic_score_gemma":0.001025187,"teacher_disagreement_score":0.0024482626,"about_ca_system_score_codex":0.00022643027,"about_ca_system_score_gemma":0.0004775943,"threshold_uncertainty_score":0.008190274},"labels":[],"label_agreement":null},{"id":"W2118622581","doi":"10.4133/jeeg9.4.201","title":"Effects of Signal Processing and Antenna Frequency on the Geostatistical Structure of Ground-Penetrating Radar Data","year":2004,"lang":"en","type":"article","venue":"Journal of Environmental and Engineering Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Army Research Office; Natural Sciences and Engineering Research Council of Canada; Bureau of Reclamation; Idaho Transportation Department","keywords":"Radar; Geology; Variogram; Reflection (computer programming); Ground-penetrating radar; Remote sensing; Antenna (radio); Amplitude; Radar horizon; Reflection coefficient; Radar imaging; Continuous-wave radar; Optics; Computer science; Telecommunications; Statistics; Physics; Mathematics; Kriging","score_opus":0.006455903934251886,"score_gpt":0.19647875362128042,"score_spread":0.19002284968702854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118622581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87543523,0.000372729,0.12140216,0.000257672,0.00004275776,0.000110875364,0.000299903,0.0005961281,0.0014824982],"genre_scores_gemma":[0.94782656,0.00018884541,0.05068303,0.00010644388,0.000028169283,0.000071858456,0.0005835205,0.00020528476,0.00030644448],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99562657,0.0018556959,0.00035807973,0.0005569244,0.0012933125,0.00030940713],"domain_scores_gemma":[0.93717545,0.053440936,0.0026059835,0.003965791,0.0025151933,0.00029667563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007820057,0.0006094624,0.00043004128,0.0011449711,0.0004541674,0.0009840952,0.00035292527,0.0005767241,0.0007992728],"category_scores_gemma":[0.047478914,0.00033741572,0.00074196956,0.0018076082,0.0010555031,0.0010307762,0.0006173433,0.00075251266,0.00032524727],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035899433,0.0006235739,0.13571699,0.0005693604,0.00057142414,0.0013173512,0.0014129591,0.2123963,0.3431578,0.0034684138,0.00092267914,0.29625323],"study_design_scores_gemma":[0.00012457998,0.0015226224,0.4796016,0.000054784952,0.00038214235,0.0014117031,0.00041618638,0.38776422,0.12297047,0.00377615,0.0017640896,0.00021143783],"about_ca_topic_score_codex":0.0012185414,"about_ca_topic_score_gemma":0.0009043653,"teacher_disagreement_score":0.007820057,"about_ca_system_score_codex":0.00040161863,"about_ca_system_score_gemma":0.0005934414,"threshold_uncertainty_score":0.04135692},"labels":[],"label_agreement":null},{"id":"W2118706052","doi":"10.1139/t2012-025","title":"Discussion of “Use of geophysical methods for soil profile evaluation” <sup>1</sup>Appears in the Canadian Geotechnical Journal, <b>48</b>(9): 1364–1377 [doi: 10.1139/t11-044].","year":2012,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geotechnical engineering; Geology; Dispersion (optics); Soil science; Optics; Physics","score_opus":0.046329297220460315,"score_gpt":0.3300556314762104,"score_spread":0.2837263342557501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118706052","genre_codex":"methods","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008897938,0.025016893,0.79914,0.089629576,0.017142255,0.0003373748,0.0006943567,0.0009162965,0.058225315],"genre_scores_gemma":[0.19254804,0.038816344,0.6631676,0.043430287,0.0077510104,0.00068822346,0.0007434433,0.00095266936,0.05190238],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99305564,0.0031687939,0.0005070694,0.00025047545,0.0028280064,0.0001900214],"domain_scores_gemma":[0.9920636,0.0044728727,0.00035252178,0.0006094804,0.0023880585,0.00011343493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011258093,0.0007267801,0.00041872103,0.0012618538,0.0017351666,0.002468476,0.003091834,0.0029782888,0.003605372],"category_scores_gemma":[0.016071953,0.000440567,0.0008718989,0.0021513083,0.004605367,0.0022798162,0.0016050808,0.002389061,0.0018165818],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010362547,0.00013848813,0.008939475,0.0021400158,0.00018230564,0.0011054849,0.0017849817,0.021059055,0.024583487,0.38096395,0.24861342,0.31038582],"study_design_scores_gemma":[0.000010016107,0.00008596822,0.003839892,0.0008766688,0.0000659709,0.0011793433,0.0009795863,0.020362737,0.021728808,0.06687704,0.8838802,0.00011378592],"about_ca_topic_score_codex":0.01319389,"about_ca_topic_score_gemma":0.023588665,"teacher_disagreement_score":0.01319389,"about_ca_system_score_codex":0.0019927952,"about_ca_system_score_gemma":0.0029589464,"threshold_uncertainty_score":0.0595392},"labels":[],"label_agreement":null},{"id":"W2118744326","doi":"10.1520/gtj20130095","title":"A Simple Test Method for Rapid Measurement of Fines Content in Soils","year":2014,"lang":"en","type":"article","venue":"Geotechnical Testing Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Nanjing Institute of Technology; McGill University; Department of Water Resources","keywords":"Soil water; Soil test; Test method; Water content; Test (biology); Geotechnical engineering; Consumables; Environmental science; Soil science; Statistics; Mathematics; Engineering; Geology; Chemistry","score_opus":0.11549089570324078,"score_gpt":0.31416639707978955,"score_spread":0.19867550137654877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118744326","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29787078,0.00422457,0.68432045,0.0003174378,0.0009745814,0.0014474847,0.0017581597,0.002917601,0.0061689382],"genre_scores_gemma":[0.5142015,0.0014723283,0.47383463,0.00033959374,0.00011419312,0.0012583281,0.0010435454,0.00019166949,0.0075441496],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99674195,0.00053732947,0.00017340385,0.00047105,0.0019789739,0.0000973201],"domain_scores_gemma":[0.996906,0.000988491,0.00046960684,0.00036208826,0.0011013672,0.00017239514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020038357,0.00086763373,0.00052580755,0.0020479525,0.00039823225,0.00050257787,0.0009799037,0.0008854112,0.0035341494],"category_scores_gemma":[0.0034324247,0.00039186055,0.00042504826,0.0009229818,0.0006543822,0.0007041053,0.00086139917,0.0007297237,0.0015212173],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025746785,0.00015652535,0.007128399,0.00035710906,0.000030118998,0.00016103538,0.00012510257,0.00034761455,0.9203723,0.0003521219,0.00084188575,0.069870315],"study_design_scores_gemma":[0.00008203676,0.0027956984,0.035016723,0.00012606644,0.00013055402,0.0019292177,0.00030941164,0.009678889,0.93444085,0.0006472827,0.01471746,0.00012592346],"about_ca_topic_score_codex":0.00085742376,"about_ca_topic_score_gemma":0.00246431,"teacher_disagreement_score":0.0035341494,"about_ca_system_score_codex":0.000294653,"about_ca_system_score_gemma":0.0004859739,"threshold_uncertainty_score":0.011822879},"labels":[],"label_agreement":null},{"id":"W2121501174","doi":"10.11575/prism/26294","title":"Geophysical Monitoring Of Salt Remediation","year":2013,"lang":"en","type":"dissertation","venue":"PRISM (University of Calgary)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental remediation; Geophysics; Environmental science; Salt (chemistry); Geology; Petroleum engineering; Chemistry; Contamination","score_opus":0.008707301527830195,"score_gpt":0.21324275811006785,"score_spread":0.20453545658223765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121501174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9702046,0.00023775143,0.002221732,0.000115514646,0.000012533789,0.00012392653,0.0031041477,0.00023317295,0.023746695],"genre_scores_gemma":[0.9799637,0.00029733696,0.008381905,0.000032660322,0.000005922111,0.0000368919,0.001966688,0.000025532689,0.009289313],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99961627,0.000019217334,0.00000769045,0.00004427266,0.00027812883,0.00003440286],"domain_scores_gemma":[0.9994404,0.000023765604,0.000041471354,0.000026459455,0.00041769468,0.000050252132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027172602,0.0001940029,0.00020004284,0.0010035455,0.00075262156,0.0005038228,0.0005643637,0.0001687488,0.0011046529],"category_scores_gemma":[0.00048634672,0.000087575616,0.000088662615,0.0019977905,0.00027719245,0.00015310038,0.00030388465,0.00024748262,0.00018622098],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002796686,0.0001924015,0.7310236,0.00015118915,0.000062670784,0.00043055776,0.0015578361,0.006571601,0.09555956,0.0006203237,0.004261884,0.15928866],"study_design_scores_gemma":[0.000016447173,0.00008772557,0.9721596,0.000013086095,0.000019960156,0.0000843742,0.00073227147,0.004941025,0.011682558,0.00010170223,0.010145947,0.0000151639315],"about_ca_topic_score_codex":0.59777945,"about_ca_topic_score_gemma":0.85891366,"teacher_disagreement_score":0.59777945,"about_ca_system_score_codex":0.0028222653,"about_ca_system_score_gemma":0.0032574884,"threshold_uncertainty_score":0.8091786},"labels":[],"label_agreement":null},{"id":"W2122107434","doi":"10.1061/(asce)1076-0342(2004)10:2(69)","title":"Effectiveness of Ground Penetrating Radar in Predicting Deck Repair Quantities","year":2004,"lang":"en","type":"article","venue":"Journal of Infrastructure Systems","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Ministère des Transports","keywords":"Ground-penetrating radar; Deck; Visual inspection; Radar; Environmental science; Bridge deck; Geotechnical engineering; Structural engineering; Geology; Forensic engineering; Engineering; Statistics; Mathematics","score_opus":0.007128685700244749,"score_gpt":0.24362857795111337,"score_spread":0.23649989225086862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122107434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9417042,0.0003749344,0.056037977,0.000045941582,0.000017073511,0.000026712723,0.00016426257,0.0004910964,0.0011377787],"genre_scores_gemma":[0.97880906,0.00012380598,0.020629797,0.000015131222,0.0000065911795,0.000007723321,0.00011519326,0.000011172204,0.0002815505],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9991542,0.00041845907,0.000039944534,0.00015719379,0.0001852517,0.00004497737],"domain_scores_gemma":[0.9953929,0.0035455995,0.00032842119,0.00021673494,0.00043057083,0.00008570124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00167613,0.0006927909,0.0003947549,0.0008011062,0.00010989659,0.00054639834,0.00027793212,0.0005493781,0.00038268368],"category_scores_gemma":[0.0075115194,0.0002442503,0.00018819087,0.00034378128,0.00020452349,0.00075863604,0.0002892866,0.00027957882,0.0003106638],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024862636,0.00034203994,0.32677042,0.00023062201,0.00017971614,0.00029416356,0.00013426034,0.23465474,0.051636424,0.0003204193,0.00058576546,0.38236514],"study_design_scores_gemma":[0.00003947818,0.0013395374,0.106100075,0.000027543812,0.00010354697,0.00044622898,0.00013837522,0.87178516,0.019271642,0.0002757279,0.0004366356,0.000036091966],"about_ca_topic_score_codex":0.0012280078,"about_ca_topic_score_gemma":0.0015228108,"teacher_disagreement_score":0.00167613,"about_ca_system_score_codex":0.00010951464,"about_ca_system_score_gemma":0.00018334822,"threshold_uncertainty_score":0.008864343},"labels":[],"label_agreement":null},{"id":"W2123648652","doi":"10.1190/1.2773780","title":"Seismoelectric imaging of the vadose zone of a sand aquifer","year":2007,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":130,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Vadose zone; Ground-penetrating radar; Geology; Water table; Aquifer; Groundwater; Seismometer; Sedimentary rock; Seismology; Geotechnical engineering; Petrology; Radar; Paleontology; Computer science","score_opus":0.005242247496099991,"score_gpt":0.21903901993445574,"score_spread":0.21379677243835574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123648652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99873155,0.000019960591,0.00086373545,0.000006626507,7.0339854e-7,0.0000021276987,0.000046863417,0.000018791392,0.00030964008],"genre_scores_gemma":[0.9988763,0.000022228884,0.0008545229,0.0000034833522,0.0000013082343,0.0000010733426,0.000045760582,0.0000017309552,0.00019365657],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999697,0.000002269432,0.0000012458987,0.0000050863628,0.0000120023515,0.000009637927],"domain_scores_gemma":[0.9999405,0.000012975376,0.000009572736,0.000004122644,0.000014585603,0.00001829741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007949899,0.0001493926,0.000101566664,0.0006160752,0.000111369925,0.00019230762,0.00012823506,0.000100319005,0.00077845313],"category_scores_gemma":[0.00015702682,0.00006920771,0.000042555697,0.000266532,0.00015597002,0.000116297335,0.0002668903,0.00008023324,0.000073404415],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033214287,0.00005261652,0.051854957,0.000048836577,0.000022234832,0.0008167679,0.00026129305,0.0015365118,0.9238805,0.0001153621,0.000068282534,0.021010345],"study_design_scores_gemma":[0.000042011863,0.00042458935,0.83642346,0.000022873062,0.00006513885,0.0011483915,0.00083920103,0.011195586,0.14849278,0.00020557365,0.0011186184,0.000021850805],"about_ca_topic_score_codex":0.0013900019,"about_ca_topic_score_gemma":0.0035156806,"teacher_disagreement_score":0.0013900019,"about_ca_system_score_codex":0.000085328684,"about_ca_system_score_gemma":0.00007442453,"threshold_uncertainty_score":0.0027638078},"labels":[],"label_agreement":null},{"id":"W2124122180","doi":"10.1111/j.1365-246x.2011.05131.x","title":"A distribution-based parametrization for improved tomographic imaging of solute plumes","year":2011,"lang":"en","type":"article","venue":"Geophysical Journal International","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Parametrization (atmospheric modeling); Plume; Tomography; Tikhonov regularization; Inverse problem; Synthetic data; Geology; Tomographic reconstruction; Algorithm; Physics; Mathematics; Optics; Meteorology; Mathematical analysis","score_opus":0.017139916626508843,"score_gpt":0.25055480865237256,"score_spread":0.2334148920258637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124122180","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011468574,0.000050559483,0.98765415,0.0001299111,0.0000053850763,0.000017256172,0.00005308811,0.00018893232,0.00043218426],"genre_scores_gemma":[0.33057144,0.00027682557,0.666625,0.00012296096,0.000031736374,0.00016938281,0.00032679798,0.00035610417,0.0015197785],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983835,0.000047056816,0.000011363937,0.00004111271,0.00004500675,0.0000170561],"domain_scores_gemma":[0.99966943,0.00015796871,0.00005828122,0.000056742294,0.0000391282,0.000018546187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051356864,0.00061886234,0.00042371225,0.00048969325,0.00024764668,0.00091886043,0.00062044745,0.00066102267,0.0007362078],"category_scores_gemma":[0.0019934608,0.00041561638,0.0005543517,0.00051652134,0.000754217,0.0011127706,0.0007996232,0.0010868644,0.00030754277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001239159,0.000080381484,0.0017268779,0.00014177915,0.000026299367,0.00020087199,0.00022297548,0.64223564,0.20180157,0.054660555,0.0011194443,0.09765967],"study_design_scores_gemma":[0.0000068264185,0.00001278714,0.0003816572,0.0000052503947,0.000004557978,0.00006868622,0.000010475369,0.9868731,0.00677778,0.0042107278,0.0016344019,0.000013668243],"about_ca_topic_score_codex":0.0018110462,"about_ca_topic_score_gemma":0.0021811996,"teacher_disagreement_score":0.0018110462,"about_ca_system_score_codex":0.0006387472,"about_ca_system_score_gemma":0.00062147836,"threshold_uncertainty_score":0.0046344995},"labels":[],"label_agreement":null},{"id":"W2124948374","doi":"10.2136/vzj2007.0003","title":"Hydrostratigraphic Characterization of Glaciofluvial Deposits Underlying an Infiltration Basin Using Ground Penetrating Radar","year":2008,"lang":"en","type":"article","venue":"Vadose Zone Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; École de Technologie Supérieure","funders":"","keywords":"Geology; Infiltration (HVAC); Ground-penetrating radar; Sedimentary depositional environment; Geomorphology; Structural basin; Radar","score_opus":0.054571648045321317,"score_gpt":0.27434470503910424,"score_spread":0.2197730569937829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124948374","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99941194,0.000012187838,0.00040082002,0.000002554734,1.8392349e-7,0.0000015702439,0.000022183947,0.000008827043,0.00013963348],"genre_scores_gemma":[0.9994875,0.000014205274,0.00039975203,0.0000022811912,3.9679244e-7,9.696467e-7,0.000032972985,9.4094196e-7,0.000061044426],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999845,0.0000015276423,7.421825e-7,0.000003945758,0.000004437317,0.000004859766],"domain_scores_gemma":[0.9999654,0.000008435899,0.000011045887,0.0000027150807,0.0000059529298,0.00000639715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005628364,0.00010039958,0.000055653632,0.00043105992,0.00008720936,0.00015061724,0.000080209604,0.00009332081,0.00025385077],"category_scores_gemma":[0.00011480182,0.00007238717,0.000047172296,0.00019067767,0.00014143939,0.00010942925,0.00011022298,0.00009132402,0.00003895421],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001812388,0.000057615238,0.29323113,0.000041467683,0.000025764306,0.00041483014,0.00067183934,0.0098420875,0.66762877,0.00022876576,0.00008195824,0.027594484],"study_design_scores_gemma":[0.000005597913,0.000075490796,0.96913636,0.000003544023,0.000011966954,0.00014187148,0.00023339358,0.016473288,0.013704274,0.000068564805,0.00013928823,0.0000063672983],"about_ca_topic_score_codex":0.0045263474,"about_ca_topic_score_gemma":0.005875983,"teacher_disagreement_score":0.0045263474,"about_ca_system_score_codex":0.00012298262,"about_ca_system_score_gemma":0.0000858625,"threshold_uncertainty_score":0.009000003},"labels":[],"label_agreement":null},{"id":"W2126387669","doi":"10.1190/geo2011-0379.1","title":"Estimating source locations of unexploded ordnance using the multiple signal classification algorithm","year":2012,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada; University of British Columbia; University of British Columbia Hospital","funders":"Strategic Environmental Research and Development Program","keywords":"Unexploded ordnance; Signal subspace; Orthogonality; Algorithm; Linear subspace; Computer science; Subspace topology; Mathematics; Noise (video); Artificial intelligence; Image (mathematics); Remote sensing","score_opus":0.043422061071762864,"score_gpt":0.2766227118563171,"score_spread":0.23320065078455424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126387669","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08640219,0.00012902771,0.91205573,0.00006769637,0.000028968856,0.000029069897,0.00007117383,0.00057560735,0.00064045086],"genre_scores_gemma":[0.41368458,0.00011217177,0.5833281,0.00005471671,0.00003793533,0.00006533761,0.0003827553,0.00008970053,0.0022447258],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954283,0.00008228069,0.00003308913,0.0001318497,0.00015338829,0.000056589695],"domain_scores_gemma":[0.9987117,0.00046648705,0.0001285297,0.00011550671,0.0005264373,0.000051218798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081324525,0.00091605843,0.00078693894,0.0019023934,0.0003700411,0.0009195624,0.0009217216,0.0010512538,0.0012362036],"category_scores_gemma":[0.0025635362,0.00028726953,0.00060364406,0.0009870304,0.00040619963,0.00085114216,0.00069107086,0.00078825274,0.00077592063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065217953,0.0001847981,0.0075025572,0.00010582522,0.000083672574,0.00028252788,0.0001571958,0.22249615,0.05626119,0.0041119074,0.0012582208,0.70690376],"study_design_scores_gemma":[0.000006852544,0.000026617956,0.0009404685,0.0000053471954,0.0000069889047,0.000042249547,0.00002000075,0.9912595,0.0064942287,0.0008286856,0.00036017442,0.0000087985645],"about_ca_topic_score_codex":0.0025341325,"about_ca_topic_score_gemma":0.002337391,"teacher_disagreement_score":0.0025341325,"about_ca_system_score_codex":0.00045668756,"about_ca_system_score_gemma":0.0007705726,"threshold_uncertainty_score":0.005038798},"labels":[],"label_agreement":null},{"id":"W2127088733","doi":"10.1111/j.1365-3091.2005.00769.x","title":"The sedimentology and alluvial architecture of the sandy braided South Saskatchewan River, Canada","year":2006,"lang":"en","type":"article","venue":"Sedimentology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":205,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"University of Illinois at Urbana-Champaign; Natural Environment Research Council; Leverhulme Trust","keywords":"Facies; Geology; Trough (economics); Alluvium; Bar (unit); Geomorphology; Ground-penetrating radar; Geometry; Radar","score_opus":0.002524637560164474,"score_gpt":0.17491767656245918,"score_spread":0.17239303900229472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127088733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99126875,0.0003844196,0.00016528336,0.00013138939,0.0000063900566,0.000042372725,0.0031013489,0.000021646618,0.004878294],"genre_scores_gemma":[0.9941493,0.00031868403,0.0003673588,0.00005984287,0.0000015177435,0.00002365544,0.0014611764,0.000010098832,0.0036082799],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976426,0.0000160811,0.000015842628,0.00005780537,0.00007485345,0.0000711958],"domain_scores_gemma":[0.999203,0.000052649666,0.000075784585,0.000028818153,0.00051687966,0.00012297463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023239526,0.00035038398,0.00022950495,0.0015312815,0.0018189272,0.0013813173,0.0005875794,0.00025982226,0.0028275535],"category_scores_gemma":[0.000488456,0.0002839405,0.00020894085,0.0030226475,0.0008824668,0.00030585064,0.00062706106,0.0002508412,0.00045725008],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000083418236,0.000026682217,0.97071886,0.00009737664,0.00009993858,0.0003926725,0.001608072,0.000922484,0.006272558,0.00034579757,0.0015423591,0.01788975],"study_design_scores_gemma":[0.0000044243448,0.000008145614,0.99560755,0.000027396938,0.000012030861,0.000047582755,0.0017852768,0.0003716017,0.00027272291,0.000039261784,0.0018136416,0.000010311504],"about_ca_topic_score_codex":0.98847884,"about_ca_topic_score_gemma":0.9974548,"teacher_disagreement_score":0.015670149,"about_ca_system_score_codex":0.015670149,"about_ca_system_score_gemma":0.01845399,"threshold_uncertainty_score":0.11369544},"labels":[],"label_agreement":null},{"id":"W2128386594","doi":"","title":"A new constrained velocity tomography algorithm using geostatistical simulation","year":2004,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Slowness; Algorithm; Covariance; Borehole; Synthetic data; Tomography; Noise (video); Computer science; Geology; Mathematics; Statistics; Artificial intelligence; Geotechnical engineering","score_opus":0.013077167266947241,"score_gpt":0.25816621572205434,"score_spread":0.2450890484551071,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128386594","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000936697,0.00002117343,0.9985273,0.000018924324,0.0000092027,0.000012757546,0.000016542444,0.00023425244,0.00022317718],"genre_scores_gemma":[0.038125608,0.00010331326,0.95968056,0.0000402563,0.00002088796,0.00014057678,0.00023677369,0.00015857106,0.0014933527],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962115,0.0000787484,0.000023696028,0.00007256788,0.00017810281,0.000025698158],"domain_scores_gemma":[0.9992773,0.00030789737,0.00007725372,0.0000679201,0.00023580242,0.00003386792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055261457,0.0006399735,0.00071475893,0.0007856809,0.00036303588,0.00085625675,0.0011305463,0.0008655343,0.0031769928],"category_scores_gemma":[0.0019430537,0.00059547205,0.00069150794,0.00098857,0.00043802054,0.001027851,0.00093562296,0.0008836978,0.000856646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000071950286,0.000046315385,0.0007615539,0.00010083894,0.00008124194,0.00009138005,0.000070157126,0.7216553,0.009806095,0.01616332,0.0026816272,0.24847025],"study_design_scores_gemma":[0.0000074507698,0.0000069148905,0.00005443102,0.0000039303145,0.0000031810814,0.00002060691,0.000003524936,0.9961343,0.0006448157,0.00186061,0.00125472,0.000005603668],"about_ca_topic_score_codex":0.008892931,"about_ca_topic_score_gemma":0.0068786484,"teacher_disagreement_score":0.008892931,"about_ca_system_score_codex":0.00059987564,"about_ca_system_score_gemma":0.00167121,"threshold_uncertainty_score":0.017682314},"labels":[],"label_agreement":null},{"id":"W2128697759","doi":"10.1109/iwagpr.2011.5963900","title":"Vertical soil moisture dynamics in the vadose zone: A high-resolution GPR reflection study","year":2011,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Vadose zone; Ground-penetrating radar; Water content; Geology; Reflection (computer programming); Moisture; Soil science; Environmental science; Hydrology (agriculture); Atmospheric sciences; Soil water; Geotechnical engineering; Meteorology; Radar","score_opus":0.026444575915522114,"score_gpt":0.26683646430273633,"score_spread":0.2403918883872142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128697759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99951744,0.00002655384,0.00028745373,0.000005439525,6.813145e-7,0.0000040074974,0.00005433198,0.000008464671,0.000095661264],"genre_scores_gemma":[0.999113,0.000032999822,0.00053663645,0.000009945814,0.000002866996,0.000004888594,0.00016592348,0.000001919234,0.00013170969],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998666,0.000027621823,0.00000762286,0.00003509329,0.000025793903,0.00003726399],"domain_scores_gemma":[0.9998338,0.000037969818,0.00003991601,0.000024912762,0.00003870165,0.000024580944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003929892,0.00022886819,0.00024704318,0.000577298,0.00018300363,0.00024402866,0.00029066284,0.00035170425,0.00027126167],"category_scores_gemma":[0.00026017477,0.00011387714,0.00019684895,0.00038586382,0.0002030274,0.0003274216,0.00018662678,0.00018826588,0.00012498781],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008715719,0.0015087364,0.5971177,0.00009004829,0.00014103054,0.0021601473,0.001255967,0.0038991657,0.3552875,0.00017695081,0.00040612806,0.037085142],"study_design_scores_gemma":[0.00002347094,0.0011392012,0.98208904,0.0000051243424,0.000039569863,0.00094866735,0.00041983614,0.004371843,0.01034121,0.00004232024,0.0005637643,0.00001592862],"about_ca_topic_score_codex":0.0036171628,"about_ca_topic_score_gemma":0.0036975928,"teacher_disagreement_score":0.0036171628,"about_ca_system_score_codex":0.00019396721,"about_ca_system_score_gemma":0.0001439367,"threshold_uncertainty_score":0.007192254},"labels":[],"label_agreement":null},{"id":"W2128828969","doi":"10.5194/hess-16-4361-2012","title":"Estimating field-scale soil water dynamics at a heterogeneous site using multi-channel GPR","year":2012,"lang":"en","type":"article","venue":"Hydrology and earth system sciences","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"Deutsche Forschungsgemeinschaft","keywords":"Ground-penetrating radar; Soil science; Infiltration (HVAC); Soil water; Hydrology (agriculture); Geology; Environmental science; Water content; Remote sensing; Radar; Geotechnical engineering; Meteorology; Geography","score_opus":0.02256714373657849,"score_gpt":0.2555265362284392,"score_spread":0.2329593924918607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128828969","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99390644,0.000011603667,0.0058045546,0.000005435341,0.0000010179924,0.000005565908,0.000066900895,0.00004686189,0.00015166885],"genre_scores_gemma":[0.9966319,0.000011260123,0.0032388824,0.0000022758604,0.0000015009444,0.0000028860695,0.00006728502,0.0000025126217,0.000041518895],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999348,0.000010931021,0.0000023146324,0.000026057203,0.000012582848,0.000013294573],"domain_scores_gemma":[0.99983907,0.00006524368,0.000026860223,0.000022325723,0.000025062973,0.00002152867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020855712,0.00022201762,0.00022580462,0.00064191816,0.00013787125,0.00033185584,0.00025270422,0.00026430842,0.00028969924],"category_scores_gemma":[0.00032029522,0.00012305805,0.00012355705,0.00045150772,0.00017263442,0.00049825653,0.00021622633,0.00015098046,0.000082022896],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006024163,0.000528639,0.3349212,0.00007973343,0.000119415636,0.0006398546,0.00023639819,0.14010797,0.43939364,0.00037182024,0.00037618697,0.08262271],"study_design_scores_gemma":[0.000046666297,0.0003104532,0.4218266,0.0000069192147,0.000058120535,0.00016569636,0.0002513139,0.5503635,0.026303042,0.0003529055,0.00028396942,0.000030883482],"about_ca_topic_score_codex":0.002818887,"about_ca_topic_score_gemma":0.004802778,"teacher_disagreement_score":0.002818887,"about_ca_system_score_codex":0.00019832294,"about_ca_system_score_gemma":0.00013011516,"threshold_uncertainty_score":0.005604923},"labels":[],"label_agreement":null},{"id":"W2130040650","doi":"10.1190/geo2011-0095.1","title":"Imaging groundwater beneath a rugged proglacial moraine","year":2011,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Geoscience BC; University of Calgary","funders":"","keywords":"Geology; Permafrost; Moraine; Glacier; Bedrock; Groundwater; Ground-penetrating radar; Geomorphology; Terrain; Terminal moraine; Elevation (ballistics); Remote sensing; Hydrology (agriculture); Radar; Geotechnical engineering; Cartography","score_opus":0.01962143010192519,"score_gpt":0.21298437673075257,"score_spread":0.1933629466288274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130040650","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99828196,0.000026853377,0.0010472978,0.000023195244,0.0000012912813,0.0000046930254,0.00016636799,0.00004511575,0.00040335383],"genre_scores_gemma":[0.9974239,0.000031974327,0.002265368,0.000009155087,0.0000017311041,0.0000026020555,0.00014835769,0.0000048456345,0.00011204929],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999682,0.0000018144539,7.220084e-7,0.0000077641425,0.0000094433535,0.000012174229],"domain_scores_gemma":[0.99995184,0.000008553981,0.0000064546552,0.0000040321424,0.00002015825,0.000009023026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000055202556,0.00018418349,0.00017437698,0.00038298554,0.00034495562,0.00030337257,0.0002967389,0.00018184778,0.0004029713],"category_scores_gemma":[0.00014369712,0.00011591536,0.000105819556,0.0003178774,0.00021367517,0.00010863006,0.00020064627,0.00012690961,0.00005013244],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050791923,0.00015430902,0.15961468,0.00012504718,0.00009269077,0.0013011433,0.00077653443,0.038197268,0.74715966,0.0003939637,0.0005532393,0.05112355],"study_design_scores_gemma":[0.00006372768,0.00029192647,0.7184194,0.000022864295,0.00011586005,0.00063547766,0.0010370193,0.2106824,0.06628517,0.00033341497,0.0020577777,0.000054921715],"about_ca_topic_score_codex":0.13956621,"about_ca_topic_score_gemma":0.324431,"teacher_disagreement_score":0.13956621,"about_ca_system_score_codex":0.0005768896,"about_ca_system_score_gemma":0.00080409704,"threshold_uncertainty_score":0.27750772},"labels":[],"label_agreement":null},{"id":"W2130170967","doi":"10.2110/jsr.2005.081","title":"The Architecture of Prograding Sandy-Gravel Beach Ridges Formed During the Last Holocene Highstand: Southwestern British Columbia, Canada","year":2005,"lang":"en","type":"article","venue":"Journal of Sedimentary Research","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"Core Research for Evolutional Science and Technology","keywords":"Geology; Holocene; Architecture; Geomorphology; Paleontology; Archaeology; Oceanography; Physical geography; Geography","score_opus":0.015683302838498583,"score_gpt":0.27116401362316306,"score_spread":0.2554807107846645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130170967","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923403,0.00044426756,0.00012822928,0.00010925292,0.000006378117,0.00002360303,0.002195713,0.00002098032,0.0047312314],"genre_scores_gemma":[0.99343735,0.00036976518,0.0003648811,0.000046624293,0.0000020225395,0.000013841493,0.0010546917,0.000012059336,0.004698713],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997707,0.000010056817,0.000010904043,0.00005061983,0.00006884598,0.000088914814],"domain_scores_gemma":[0.99885905,0.000042925247,0.000103055616,0.000024840714,0.0007727514,0.00019735542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017529621,0.00026279097,0.00022740407,0.0018978682,0.0029676952,0.00141056,0.0007272453,0.00026495784,0.0036860574],"category_scores_gemma":[0.0005445111,0.00028981332,0.00013242163,0.0032038502,0.0007455226,0.00022531899,0.00045419228,0.00029986326,0.00042395425],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000101131925,0.00004142786,0.94780874,0.00009607193,0.000053237563,0.0006852146,0.0036422359,0.00046408357,0.0064287814,0.00022787193,0.0032564832,0.03719464],"study_design_scores_gemma":[0.0000018737978,0.0000049032933,0.9969146,0.00001897149,0.0000049422406,0.000041622225,0.0014616024,0.000104698054,0.00012113839,0.00000997359,0.0013105486,0.000004984168],"about_ca_topic_score_codex":0.9931502,"about_ca_topic_score_gemma":0.9990114,"teacher_disagreement_score":0.013379631,"about_ca_system_score_codex":0.013379631,"about_ca_system_score_gemma":0.010723608,"threshold_uncertainty_score":0.097076476},"labels":[],"label_agreement":null},{"id":"W2130563012","doi":"10.2528/pierm12102106","title":"USE OF JONSCHER MODEL FOR ESTIMATING THE THICKNESS OF A CONCRETE SLAB BY TECHNICAL GPR","year":2013,"lang":"en","type":"article","venue":"Progress In Electromagnetics Research M","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Ground-penetrating radar; Slab; Materials science; Geotechnical engineering; Environmental science; Geology; Computer science; Geophysics; Radar; Telecommunications","score_opus":0.0840418488229361,"score_gpt":0.38725840699859065,"score_spread":0.30321655817565457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130563012","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03570687,0.0003007974,0.9605248,0.0000983059,0.00002593717,0.00002970933,0.00012223498,0.0007387139,0.0024526406],"genre_scores_gemma":[0.6610197,0.0018349909,0.32489866,0.00006991739,0.00003880275,0.00015699175,0.00065174745,0.0002495992,0.011079668],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995414,0.00012750331,0.000019269813,0.00012297124,0.00015217408,0.00003668347],"domain_scores_gemma":[0.99962664,0.0001931507,0.000045668658,0.0000452427,0.000078975216,0.000010248452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056884746,0.0010474285,0.0005427863,0.00076523866,0.00027628933,0.00083157455,0.001091005,0.0014527618,0.0011217068],"category_scores_gemma":[0.0012124216,0.00039570135,0.00068959245,0.00049452804,0.000427779,0.0012617019,0.00056665984,0.00085669453,0.0013408981],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001793152,0.00007309615,0.006460964,0.00015841544,0.000091729475,0.00054639176,0.00022147584,0.8469832,0.05313765,0.0108068995,0.0008285791,0.08051234],"study_design_scores_gemma":[0.0000056332083,0.000058001457,0.0011788445,0.000017028653,0.000025930605,0.00027695845,0.000046663074,0.9823157,0.012722162,0.0019620678,0.0013499872,0.000040942366],"about_ca_topic_score_codex":0.0042715636,"about_ca_topic_score_gemma":0.0042500016,"teacher_disagreement_score":0.0042715636,"about_ca_system_score_codex":0.00040256427,"about_ca_system_score_gemma":0.00049831945,"threshold_uncertainty_score":0.008493423},"labels":[],"label_agreement":null},{"id":"W2133299833","doi":"10.1061/40934(252)114","title":"Leak Detection on Wastewater Forcemains and Siphons in North America Using the Sahara® Acoustic System","year":2007,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Wastewater; Pipeline transport; Benchmarking; Engineering; Mains electricity; Leak detection; Leak; Electricity; Sewage treatment; Civil engineering; Environmental science; Environmental engineering; Electrical engineering; Business","score_opus":0.01303889856575611,"score_gpt":0.2369357551090658,"score_spread":0.2238968565433097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133299833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919011,0.0003238801,0.005760642,0.00006104499,0.000009312107,0.000031826046,0.00008541917,0.00020110326,0.0016255628],"genre_scores_gemma":[0.9866508,0.00034866232,0.010932721,0.0000558319,0.0000060645566,0.000024473424,0.00016572731,0.0000216359,0.0017940471],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99941564,0.00010282817,0.000028780803,0.0001232261,0.00025652733,0.00007293633],"domain_scores_gemma":[0.9993943,0.00011502561,0.00009166295,0.000028229018,0.00033690716,0.00003392461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000475531,0.00037461703,0.0003927744,0.0010170925,0.0006793578,0.00037222283,0.0003293539,0.00048750473,0.00075191224],"category_scores_gemma":[0.0009380007,0.00027313147,0.0002001913,0.0009420593,0.00042576887,0.00046730085,0.0005849874,0.00020573437,0.00019938017],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008488734,0.00010222317,0.08353048,0.00027781047,0.000056910205,0.0008434647,0.0032192238,0.0015374045,0.80738986,0.00021248548,0.00069121836,0.10129002],"study_design_scores_gemma":[0.00009771183,0.0018330539,0.53003156,0.00008027353,0.00019981005,0.0016654513,0.006316586,0.011023346,0.436148,0.0002806615,0.012188216,0.00013540249],"about_ca_topic_score_codex":0.0256285,"about_ca_topic_score_gemma":0.06676583,"teacher_disagreement_score":0.0256285,"about_ca_system_score_codex":0.00065765897,"about_ca_system_score_gemma":0.00062343525,"threshold_uncertainty_score":0.050958693},"labels":[],"label_agreement":null},{"id":"W2133603098","doi":"10.1109/ccece.2002.1015236","title":"Design, implementation and testing of a prototype 1.1-2.1 GHz SFCW GPR for use in landmine detection","year":2003,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg; University of Manitoba","funders":"University of Manitoba","keywords":"Ground-penetrating radar; Radar; Computer science; Field (mathematics); Engineering; Remote sensing; Geology; Telecommunications","score_opus":0.08080906811421884,"score_gpt":0.3238010285398444,"score_spread":0.24299196042562554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133603098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6100709,0.00025114007,0.3769709,0.0006523658,0.00032186817,0.0020160936,0.0004315466,0.0037903483,0.0054947967],"genre_scores_gemma":[0.8114824,0.00016297432,0.18185024,0.00024356836,0.000051404557,0.00051245064,0.0003531092,0.00022184405,0.005121949],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99913824,0.00018775977,0.000050464547,0.00016127508,0.00034299528,0.000119192],"domain_scores_gemma":[0.9985072,0.00028431692,0.00015931798,0.00031599854,0.0005406267,0.0001925216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011870227,0.000546302,0.0006846462,0.00044086215,0.00022907757,0.0005722405,0.0018585939,0.0009843456,0.0019378186],"category_scores_gemma":[0.0021255184,0.00035240248,0.00038424556,0.00020035302,0.00042907614,0.0007199672,0.00038358787,0.00053420436,0.0007774512],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013525945,0.0010329216,0.006315126,0.0007042221,0.00008953615,0.0010968971,0.00079947966,0.005416305,0.85228574,0.0014611108,0.0034075629,0.12603854],"study_design_scores_gemma":[0.0011015814,0.041369054,0.022565346,0.00008153203,0.00034186017,0.00570116,0.0005301428,0.054383233,0.84332454,0.00059650623,0.029847657,0.00015735642],"about_ca_topic_score_codex":0.00045969375,"about_ca_topic_score_gemma":0.00030571452,"teacher_disagreement_score":0.0019378186,"about_ca_system_score_codex":0.00030651037,"about_ca_system_score_gemma":0.00058140996,"threshold_uncertainty_score":0.006482601},"labels":[],"label_agreement":null},{"id":"W2134652792","doi":"10.1109/ccst.1988.75985","title":"A new air-mounted perimeter security technology","year":2003,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Covert; Line (geometry); Computer science; Wireless sensor network; Terrain; Remote sensing; Software deployment; Perimeter; Radar; Block (permutation group theory); Real-time computing; Geology; Telecommunications; Computer network; Geography; Cartography","score_opus":0.006409516070613043,"score_gpt":0.25278167496409043,"score_spread":0.24637215889347738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134652792","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02527212,0.0054860883,0.8281919,0.0022377102,0.0044664172,0.0003525087,0.0008033408,0.007406127,0.1257838],"genre_scores_gemma":[0.21038263,0.005559133,0.6171337,0.0022007974,0.001321458,0.0005152291,0.0013233308,0.00047224227,0.1610915],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989869,0.00007140458,0.000029317795,0.0001742061,0.0006749417,0.000063174135],"domain_scores_gemma":[0.9994943,0.00007141427,0.000055564586,0.00012562782,0.00018551509,0.00006762928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033553113,0.00076365646,0.0004950209,0.0009172789,0.0005582684,0.0012430595,0.0014305912,0.0013347473,0.010538618],"category_scores_gemma":[0.0006145686,0.00046888733,0.00040746026,0.00058386114,0.00058186287,0.0025679143,0.0016596209,0.0014542,0.00532116],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002134638,0.000101973215,0.0013945985,0.0008297412,0.000036628735,0.000806845,0.00035579884,0.0032046288,0.41287738,0.06821091,0.052937105,0.45903102],"study_design_scores_gemma":[0.000081444785,0.0008270561,0.0021788387,0.00017295514,0.00007924673,0.004345673,0.000113326845,0.029445715,0.11128513,0.008148845,0.8432121,0.00010968041],"about_ca_topic_score_codex":0.00039122562,"about_ca_topic_score_gemma":0.00041048016,"teacher_disagreement_score":0.010538618,"about_ca_system_score_codex":0.0004396637,"about_ca_system_score_gemma":0.0005348843,"threshold_uncertainty_score":0.035255134},"labels":[],"label_agreement":null},{"id":"W2134822732","doi":"10.1002/hyp.7688","title":"Field observations of shallow freeze and thaw processes using high‐frequency ground‐penetrating radar","year":2010,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Eidgenössische Technische Hochschule Zürich","keywords":"Ground-penetrating radar; Geology; Frost (temperature); Soil water; Dielectric permittivity; Spatial variability; Soil science; Radar; Permittivity; Hydrology (agriculture); Mineralogy; Geomorphology; Dielectric; Geotechnical engineering; Materials science","score_opus":0.039632286795090226,"score_gpt":0.2637022244330841,"score_spread":0.22406993763799388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134822732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99945813,0.000016627682,0.00022768164,0.0000056130707,6.6994596e-7,0.000005668144,0.00007284614,0.00000960379,0.00020308541],"genre_scores_gemma":[0.9991829,0.000026057234,0.00040661157,0.000007835344,9.642893e-7,0.0000029043879,0.00013917079,0.0000014033055,0.00023213531],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999244,0.0000061818027,0.00000177412,0.000012381345,0.000033001936,0.000022223347],"domain_scores_gemma":[0.99984574,0.00002695913,0.000030190084,0.000012355484,0.000057086247,0.00002763595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001663946,0.00013168112,0.00011578986,0.00024505434,0.00037002575,0.0002560052,0.0002415822,0.00013349751,0.0003645713],"category_scores_gemma":[0.00031321574,0.00011333938,0.00006722956,0.00026020332,0.00033278982,0.00018751381,0.00014862377,0.00015847279,0.00006035893],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009651566,0.00027477831,0.6379482,0.0000874429,0.00007248035,0.000732096,0.0025444997,0.0054873102,0.29133725,0.0001467375,0.0009062018,0.05949784],"study_design_scores_gemma":[0.000030210414,0.0001662012,0.9874444,0.000004610887,0.000014386965,0.00009554787,0.00044995127,0.0031158642,0.008078869,0.000040563446,0.00055010803,0.000009320691],"about_ca_topic_score_codex":0.2875115,"about_ca_topic_score_gemma":0.45134985,"teacher_disagreement_score":0.2875115,"about_ca_system_score_codex":0.0009584164,"about_ca_system_score_gemma":0.00079787604,"threshold_uncertainty_score":0.571676},"labels":[],"label_agreement":null},{"id":"W2135201672","doi":"10.1093/gji/ggu111","title":"Three-dimensional to two-dimensional data conversion for electromagnetic wave propagation using an acoustic transfer function: application to cross-hole GPR data","year":2014,"lang":"en","type":"article","venue":"Geophysical Journal International","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of British Columbia","funders":"","keywords":"Transfer function; Inversion (geology); Amplitude; Scalar field; Acoustics; Scalar (mathematics); Mathematical analysis; Wave propagation; Geology; Physics; Computational physics; Optics; Geometry; Mathematics; Classical mechanics; Seismology","score_opus":0.048278231372359204,"score_gpt":0.32191381373316147,"score_spread":0.27363558236080227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135201672","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19534855,0.00006700949,0.8017617,0.0002683743,0.000023379143,0.00007656943,0.00007547038,0.000993427,0.0013855186],"genre_scores_gemma":[0.6840659,0.0001398509,0.3147699,0.000044227974,0.00001004726,0.00006968781,0.000104569626,0.000072444374,0.0007233644],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998901,0.000040841904,0.0000070875326,0.000010770114,0.000037650952,0.000013639174],"domain_scores_gemma":[0.99943227,0.00037531712,0.000034492838,0.00007268631,0.00007203872,0.000013132308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007372329,0.00042872675,0.00022948964,0.0004095538,0.00021079903,0.0005532707,0.0003362393,0.0006598253,0.00076320936],"category_scores_gemma":[0.0021827132,0.00014983855,0.00022449256,0.000572852,0.0004729804,0.0005494658,0.0006059735,0.0004535457,0.00022871853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034708314,0.00030364032,0.0034784013,0.00021638168,0.00004399867,0.001007314,0.00046229575,0.5789146,0.14136584,0.013643428,0.0009284157,0.25928855],"study_design_scores_gemma":[0.000020000849,0.00007099491,0.0006637625,0.00000818866,0.0000048969478,0.00019224847,0.00005518037,0.9648635,0.031992376,0.001437686,0.00067417795,0.00001696099],"about_ca_topic_score_codex":0.0013286126,"about_ca_topic_score_gemma":0.0010695502,"teacher_disagreement_score":0.0013286126,"about_ca_system_score_codex":0.00022751122,"about_ca_system_score_gemma":0.00035025738,"threshold_uncertainty_score":0.0038989186},"labels":[],"label_agreement":null},{"id":"W2136882717","doi":"","title":"Discrimination of subsurface targets with a plane of symmetry using polarimetric bistatic radar","year":2004,"lang":"en","type":"article","venue":"International Conference on Grounds Penetrating Radar","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Bistatic radar; Polarimetry; Clutter; Reflection symmetry; Plane symmetry; Signature (topology); Physics; Symmetry (geometry); Ground-penetrating radar; Ground plane; Plane (geometry); Azimuth; Radar; Optics; Computer science; Remote sensing; Radar imaging; Geology; Antenna (radio); Geometry; Scattering; Mathematics; Telecommunications","score_opus":0.036718796997382716,"score_gpt":0.2909199586016175,"score_spread":0.2542011616042348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136882717","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58171463,0.00020188888,0.41457894,0.00009275545,0.000031102743,0.000058272613,0.00008372041,0.00059498183,0.002643727],"genre_scores_gemma":[0.8974931,0.00015476512,0.101751775,0.000052210096,0.000020599407,0.00002680496,0.00012996698,0.000018467406,0.0003521771],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9995757,0.00011178594,0.000017617562,0.000059727467,0.00019618463,0.0000390244],"domain_scores_gemma":[0.99899644,0.00040274297,0.0001981156,0.0001295337,0.00022116043,0.00005197801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040193464,0.0004606384,0.000529892,0.00070644973,0.00012417835,0.00057609536,0.00031924713,0.00045147544,0.00033671036],"category_scores_gemma":[0.0017434551,0.00022436095,0.00018376039,0.00043114342,0.00040981662,0.0006458576,0.00043351494,0.00028763126,0.00030524677],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043674718,0.00009163243,0.008600518,0.00010960233,0.000035000485,0.00028433942,0.0000985671,0.007291358,0.81331104,0.0013281557,0.00035613967,0.16805688],"study_design_scores_gemma":[0.00009470205,0.0011368772,0.040386464,0.000026132531,0.00010498949,0.004822698,0.0002497039,0.3881578,0.5604965,0.0026222207,0.0018023925,0.00009952005],"about_ca_topic_score_codex":0.00017067917,"about_ca_topic_score_gemma":0.00033047487,"teacher_disagreement_score":0.00070644973,"about_ca_system_score_codex":0.00013505277,"about_ca_system_score_gemma":0.00014929332,"threshold_uncertainty_score":0.0021256208},"labels":[],"label_agreement":null},{"id":"W2136986626","doi":"10.2113/jeeg16.3.127","title":"Robust Inversion of Time-domain Electromagnetic Data: Application to Unexploded Ordnance Discrimination","year":2011,"lang":"en","type":"article","venue":"Journal of Environmental and Engineering Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada; University of British Columbia","funders":"Environmental Security Technology Certification Program; Strategic Environmental Research and Development Program","keywords":"Unexploded ordnance; Inversion (geology); Clutter; Outlier; Geology; Algorithm; Gaussian; Least-squares function approximation; Computer science; Geodesy; Radar; Mathematics; Statistics; Remote sensing; Physics; Seismology; Estimator","score_opus":0.015174897079829615,"score_gpt":0.18280635890380098,"score_spread":0.16763146182397137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136986626","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56696594,0.00013791553,0.4296129,0.00020601902,0.000033302815,0.00002698086,0.00017257058,0.0009868112,0.0018575827],"genre_scores_gemma":[0.8412901,0.00005329541,0.15777686,0.0000394504,0.000011941431,0.000009893433,0.00018379335,0.000046651538,0.00058798026],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998024,0.00005430887,0.000011561284,0.000038572212,0.000073566145,0.000019625151],"domain_scores_gemma":[0.999331,0.0003107373,0.000069929796,0.00009332445,0.00016887921,0.000026112695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000557958,0.00038412726,0.0002793193,0.00051092467,0.00018335697,0.00046506943,0.0003979687,0.00033721954,0.00048976537],"category_scores_gemma":[0.0025492182,0.00012252657,0.00018362062,0.0006326362,0.00030075855,0.00027733998,0.00039308643,0.00026846366,0.00015000023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042825955,0.00016283974,0.012627713,0.000103918996,0.00009912805,0.00072191615,0.00025646327,0.5785664,0.14037317,0.0038591688,0.0009892662,0.26181173],"study_design_scores_gemma":[0.00001668335,0.00003359537,0.0035883843,0.0000038707826,0.000007667329,0.00009104271,0.000053291344,0.9744702,0.019703865,0.0013050542,0.0007083564,0.00001792016],"about_ca_topic_score_codex":0.0051385458,"about_ca_topic_score_gemma":0.0051628966,"teacher_disagreement_score":0.0051385458,"about_ca_system_score_codex":0.00021100977,"about_ca_system_score_gemma":0.00043361683,"threshold_uncertainty_score":0.010217249},"labels":[],"label_agreement":null},{"id":"W2137231649","doi":"10.1190/1.3141002","title":"Assisted traveltime picking of crosshole GPR data","year":2009,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Computer science; Radar; Algorithm; Waveform; Wavelet; Akaike information criterion; Ground-penetrating radar; Noise (video); Artificial intelligence; Telecommunications","score_opus":0.049072240195742786,"score_gpt":0.29812614578881474,"score_spread":0.24905390559307194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137231649","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17996012,0.00020155912,0.8150649,0.00006602824,0.00011643174,0.000099336925,0.00029435733,0.003157772,0.0010394414],"genre_scores_gemma":[0.327788,0.00012182096,0.66920793,0.00005549896,0.000049135604,0.00006246799,0.0008001799,0.0002604253,0.0016545899],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936813,0.000106234955,0.000037023157,0.0001119113,0.0002944719,0.000082209684],"domain_scores_gemma":[0.9988224,0.00023817517,0.00018463995,0.00037531726,0.00032243697,0.000056954934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006668717,0.0007637518,0.00062559167,0.001773975,0.0002647965,0.0007369688,0.00090197596,0.00056814903,0.0015171494],"category_scores_gemma":[0.0021899596,0.00033790083,0.00044488919,0.0014612664,0.0002567258,0.00087187975,0.0013790394,0.0005712966,0.0011385308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009310629,0.00019507122,0.005903047,0.00020038344,0.000078716745,0.00037221884,0.00030752647,0.048984304,0.26049456,0.001962989,0.0021463435,0.6784237],"study_design_scores_gemma":[0.000083964595,0.00030205483,0.0129485335,0.000024601244,0.00005165844,0.0007504373,0.00013481123,0.7385554,0.23662348,0.0020165623,0.0083751865,0.00013331969],"about_ca_topic_score_codex":0.0006087634,"about_ca_topic_score_gemma":0.0012566581,"teacher_disagreement_score":0.001773975,"about_ca_system_score_codex":0.0002246039,"about_ca_system_score_gemma":0.00041243035,"threshold_uncertainty_score":0.0050753355},"labels":[],"label_agreement":null},{"id":"W2137374109","doi":"","title":"The effect of clay seams in borehole GPR attenuation tomography","year":2004,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Borehole; Attenuation; Geology; Ground-penetrating radar; Tomography; Amplitude; Electrical resistivity tomography; Geophysics; Geotechnical engineering; Mineralogy; Electrical resistivity and conductivity; Optics; Radar","score_opus":0.005230051394221767,"score_gpt":0.22687863597368152,"score_spread":0.22164858457945974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137374109","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9754917,0.00012876709,0.023575915,0.000026846952,0.000008550095,0.000011293426,0.000050725008,0.00013836856,0.0005678288],"genre_scores_gemma":[0.9965205,0.000056616827,0.0032637878,0.0000070787532,0.0000017433472,0.0000016259456,0.00002611665,0.000011037224,0.000111433954],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9994735,0.00016628216,0.00003758462,0.00009245222,0.00016059069,0.000069681715],"domain_scores_gemma":[0.997903,0.0012927529,0.0003960533,0.00018616238,0.00016408948,0.000058043795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007865592,0.00045570754,0.00018252057,0.00034321606,0.0001524325,0.00074618217,0.00027369923,0.0003741944,0.000387468],"category_scores_gemma":[0.002612911,0.00024733637,0.00018697465,0.0004669302,0.000544172,0.00053510483,0.00047196753,0.00024996788,0.00009014],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017269053,0.0001225477,0.07480023,0.0002735868,0.00008152638,0.00199821,0.0008678938,0.11921146,0.75227785,0.0007403418,0.00020734183,0.04769208],"study_design_scores_gemma":[0.00005191776,0.0011617965,0.23995091,0.00008655102,0.00022468412,0.0024476442,0.0009807604,0.28780133,0.46527565,0.00041603053,0.0014929988,0.00010971909],"about_ca_topic_score_codex":0.004569659,"about_ca_topic_score_gemma":0.0065486454,"teacher_disagreement_score":0.004569659,"about_ca_system_score_codex":0.00031680157,"about_ca_system_score_gemma":0.0002680452,"threshold_uncertainty_score":0.009086132},"labels":[],"label_agreement":null},{"id":"W2138689498","doi":"10.1111/j.1745-6592.2009.01233.x","title":"An Inexpensive Multilevel Array of Sensors for Direct Ground Water Velocity Measurement","year":2009,"lang":"en","type":"article","venue":"Groundwater Monitoring & Remediation","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Fence (mathematics); TRACER; Environmental science; Flow velocity; Flow (mathematics); Materials science; Remote sensing; Geology; Engineering; Mechanics; Physics; Structural engineering","score_opus":0.03867335887710709,"score_gpt":0.2775285460998702,"score_spread":0.2388551872227631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138689498","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5828291,0.0011889705,0.3994929,0.0003957387,0.0003758671,0.00050618954,0.002716783,0.0029594337,0.009534983],"genre_scores_gemma":[0.7196998,0.00037552166,0.27328545,0.00017766184,0.000092157185,0.00033926812,0.0007412036,0.000040235926,0.0052486425],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993279,0.00004725697,0.000022864357,0.00016948843,0.00036905936,0.00006341448],"domain_scores_gemma":[0.9996382,0.0000703016,0.000074111435,0.00005621704,0.00012282477,0.00003827824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024283754,0.00035626674,0.00042816927,0.0007503189,0.00023421887,0.00040586712,0.0009545111,0.00045682618,0.004121703],"category_scores_gemma":[0.0006159102,0.0002827486,0.00023057223,0.00068187877,0.00014484068,0.0006233809,0.0008237667,0.00052563293,0.0010095744],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017194894,0.0000947387,0.0048424797,0.00014881154,0.000022568132,0.00009119781,0.000044488672,0.0012504626,0.8847462,0.0004534702,0.002111293,0.106022336],"study_design_scores_gemma":[0.00016604236,0.002583563,0.060403433,0.00006310972,0.00018373852,0.0011884107,0.0002104974,0.060223226,0.84369177,0.00093499053,0.030212613,0.00013849697],"about_ca_topic_score_codex":0.0020068618,"about_ca_topic_score_gemma":0.0042401855,"teacher_disagreement_score":0.004121703,"about_ca_system_score_codex":0.0003509625,"about_ca_system_score_gemma":0.0003819861,"threshold_uncertainty_score":0.013788402},"labels":[],"label_agreement":null},{"id":"W2139785057","doi":"10.1109/icgpr.2010.5550248","title":"Monitoring of sequential gasoline-ethanol releases using high frequency ground penetrating radar","year":2010,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Ground-penetrating radar; Gasoline; Geology; Radar; Redistribution (election); Reflection (computer programming); Reflectivity; Remote sensing; Environmental science; Soil science; Petroleum engineering; Waste management; Optics; Engineering","score_opus":0.02730504531992857,"score_gpt":0.28810306753632103,"score_spread":0.2607980222163925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139785057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99872535,0.000015766196,0.0010054089,0.000004161811,7.815092e-7,0.000010014352,0.0000445769,0.000021755563,0.00017218351],"genre_scores_gemma":[0.9977858,0.00003821984,0.0017084203,0.000010993445,0.0000011448966,0.000008841572,0.000104760875,0.0000038749345,0.00033779707],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990594,0.000009561858,0.0000036029248,0.000022679576,0.000036009653,0.000022197113],"domain_scores_gemma":[0.9998578,0.00003486318,0.000042952637,0.000009147097,0.000040225976,0.000015140227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001671332,0.00021058951,0.0001778365,0.00034274717,0.00011881776,0.00015329219,0.00025719838,0.00021824062,0.00041446523],"category_scores_gemma":[0.00025060575,0.00010561371,0.0000772838,0.0001940301,0.0001353742,0.00033279363,0.00021954565,0.00017375988,0.00010866881],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010903059,0.00045924346,0.11200674,0.00007158632,0.00003219189,0.00095589034,0.0002527176,0.0030573003,0.8433106,0.000090667134,0.00015208118,0.038520653],"study_design_scores_gemma":[0.00005743638,0.0036955788,0.38676634,0.000010285682,0.000078688514,0.0008164745,0.0005418582,0.025406599,0.5814004,0.00012155269,0.0010665422,0.000038231985],"about_ca_topic_score_codex":0.0020840853,"about_ca_topic_score_gemma":0.0031603633,"teacher_disagreement_score":0.0020840853,"about_ca_system_score_codex":0.00012061939,"about_ca_system_score_gemma":0.00010476394,"threshold_uncertainty_score":0.0041438937},"labels":[],"label_agreement":null},{"id":"W2140020146","doi":"10.1109/20.877532","title":"Wavelet-Galerkin method for computations of electromagnetic fields-computation of connection coefficients","year":2000,"lang":"en","type":"article","venue":"IEEE Transactions on Magnetics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Galerkin method; Connection (principal bundle); Wavelet; Computation; Applied mathematics; Electromagnetic field; Field (mathematics); Point (geometry); Computer science; Mathematics; Mathematical analysis; Algorithm; Finite element method; Physics; Geometry; Pure mathematics","score_opus":0.012598595155426865,"score_gpt":0.27197116899522816,"score_spread":0.2593725738398013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140020146","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018653688,0.00013953637,0.99713707,0.000036559748,0.00002284652,0.000014883012,0.000013425591,0.00007553512,0.0006948207],"genre_scores_gemma":[0.08980494,0.0008160747,0.90585876,0.000035966645,0.00004198972,0.00018327139,0.00009747943,0.00022873492,0.002932745],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995372,0.0001583007,0.000022827355,0.000036875488,0.00022378567,0.000020962305],"domain_scores_gemma":[0.9994066,0.0003566218,0.000035505687,0.0000635728,0.000111679554,0.000026110885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013586294,0.0006453894,0.0006018196,0.00066817616,0.00047627857,0.00070576766,0.00082171784,0.0006801556,0.0017628153],"category_scores_gemma":[0.0033242442,0.00029789627,0.00040143146,0.0011464347,0.0008001305,0.0012393803,0.0008295627,0.0016344766,0.000905667],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000087010165,0.00006838552,0.00058578874,0.0004274242,0.0000374134,0.00018440386,0.00023674517,0.20087308,0.027661085,0.5353839,0.0033536612,0.23110116],"study_design_scores_gemma":[0.0000126745545,0.000025591831,0.00016105916,0.000025921714,0.000006797139,0.000097458964,0.000019077617,0.89503354,0.0066846064,0.087924525,0.009990362,0.000018304087],"about_ca_topic_score_codex":0.00043572462,"about_ca_topic_score_gemma":0.00061216153,"teacher_disagreement_score":0.0017628153,"about_ca_system_score_codex":0.00036097647,"about_ca_system_score_gemma":0.0007637532,"threshold_uncertainty_score":0.0071852207},"labels":[],"label_agreement":null},{"id":"W2141546218","doi":"10.5194/hess-14-859-2010","title":"Groundwater flow and storage within an alpine meadow-talus complex","year":2010,"lang":"en","type":"article","venue":"Hydrology and earth system sciences","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":88,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Eidgenössische Technische Hochschule Zürich; Canadian Foundation for Climate and Atmospheric Sciences; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Parks Canada; National Science Foundation","keywords":"Snowmelt; Geology; Bedrock; Groundwater; Hydrology (agriculture); Water table; Ground-penetrating radar; Electrical resistivity tomography; Snow; Watershed; Groundwater flow; Surface runoff; Structural basin; Saprolite; Water storage; Piezometer; Geomorphology; Aquifer; Weathering; Radar; Electrical resistivity and conductivity","score_opus":0.023466165819843277,"score_gpt":0.2490121253137076,"score_spread":0.2255459594938643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141546218","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997788,0.000013309738,0.00003619315,0.0000035641456,9.997427e-8,0.0000012273011,0.000038599195,0.0000020811453,0.00012614254],"genre_scores_gemma":[0.9997614,0.000009171503,0.000080529746,0.0000021044743,2.8024624e-7,0.0000011647854,0.000060182814,5.750872e-7,0.000084629704],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999429,0.0000055661853,0.0000023850216,0.000013907629,0.000014124244,0.000021200716],"domain_scores_gemma":[0.9999113,0.000010283722,0.000020147767,0.00000289423,0.000026741034,0.000028653016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006037004,0.00011005378,0.0001645354,0.00079605414,0.00078085624,0.00062379276,0.0001831225,0.00014264279,0.00072162575],"category_scores_gemma":[0.00019523004,0.000085243206,0.00008765216,0.0008686193,0.00041456585,0.0001969477,0.00036201015,0.00007234721,0.0000486302],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025483678,0.00004312552,0.9505245,0.000036606994,0.000062664854,0.00058882247,0.003199764,0.0009408536,0.028436799,0.00032834944,0.00014948956,0.015434081],"study_design_scores_gemma":[0.0000027588205,0.000019924713,0.99738806,0.0000023115442,0.000006684861,0.00006168725,0.0008576765,0.0010707239,0.00030784856,0.00003148757,0.00024752016,0.0000031522588],"about_ca_topic_score_codex":0.3630446,"about_ca_topic_score_gemma":0.5576338,"teacher_disagreement_score":0.3630446,"about_ca_system_score_codex":0.001493729,"about_ca_system_score_gemma":0.0008218732,"threshold_uncertainty_score":0.7218629},"labels":[],"label_agreement":null},{"id":"W2141727887","doi":"10.1111/j.1745-6584.2006.00208.x","title":"A New Method to Characterize Hydraulic Short‐Circuits in Defective Borehole Seals","year":2006,"lang":"en","type":"article","venue":"Ground Water","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aquifer; TRACER; Piezometer; Borehole; Leakage (economics); Hydraulic head; Geology; Hydraulics; Geotechnical engineering; Leak; Mechanics; Soil science; Petroleum engineering; Environmental science; Groundwater; Engineering; Environmental engineering","score_opus":0.018802787495874107,"score_gpt":0.26927608459155145,"score_spread":0.25047329709567734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141727887","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08192829,0.001077877,0.9129448,0.00012956171,0.0001470057,0.00012500222,0.0003146304,0.0018604497,0.0014723132],"genre_scores_gemma":[0.6155315,0.0005638727,0.381483,0.00007583753,0.00005577274,0.00016871873,0.00020550573,0.00007377858,0.0018420791],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993807,0.000064015265,0.000029985333,0.00015118341,0.00033327777,0.000040847422],"domain_scores_gemma":[0.99868554,0.00029307595,0.00028592203,0.00017408232,0.00048474863,0.00007658354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005807357,0.00062777475,0.00060986413,0.0025862271,0.0003377744,0.00055566843,0.0008885408,0.0007439308,0.0007609062],"category_scores_gemma":[0.0015184755,0.0003167798,0.00024462666,0.000747739,0.0010166571,0.0015218426,0.0006705362,0.0006890252,0.00018335294],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025817723,0.00017676972,0.021725204,0.0005992257,0.00010665942,0.00039964422,0.00064800575,0.021234136,0.6594489,0.006571636,0.0018246338,0.28700703],"study_design_scores_gemma":[0.00013615018,0.0015310617,0.035948806,0.000099088786,0.00013722731,0.0047577703,0.0003791867,0.44697082,0.4819256,0.005964383,0.021775968,0.00037389618],"about_ca_topic_score_codex":0.0009763267,"about_ca_topic_score_gemma":0.0016177061,"teacher_disagreement_score":0.0025862271,"about_ca_system_score_codex":0.000522077,"about_ca_system_score_gemma":0.000549109,"threshold_uncertainty_score":0.0037879348},"labels":[],"label_agreement":null},{"id":"W2142267908","doi":"10.2118/109971-pa","title":"A New Azimuthal Deep-Reading Resistivity Tool for Geosteering and Advanced Formation Evaluation","year":2009,"lang":"en","type":"article","venue":"SPE Reservoir Evaluation & Engineering","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"ConocoPhillips (Canada)","funders":"ConocoPhillips","keywords":"Azimuth; Logging while drilling; Anisotropy; Measurement while drilling; Drilling; Electrical resistivity and conductivity; Geology; Petroleum engineering; Trajectory; Directional drilling; Formation evaluation; Computer science; Mechanical engineering; Engineering; Electrical engineering; Optics; Physics","score_opus":0.02938103385118558,"score_gpt":0.31557449057184417,"score_spread":0.2861934567206586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142267908","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010513934,0.00004423972,0.97787434,0.000053710268,0.000048817925,0.000055724813,0.00020834136,0.007859108,0.0033418266],"genre_scores_gemma":[0.2949928,0.000121473655,0.6987311,0.0000709162,0.000045683133,0.00014295346,0.00055391033,0.0007154602,0.004625746],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99922466,0.0001190553,0.000056276265,0.00006986743,0.0004978054,0.000032380263],"domain_scores_gemma":[0.9978817,0.00085215346,0.00020030039,0.00027795776,0.0007254147,0.000062461855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007172142,0.0007147337,0.00035947794,0.0016047009,0.0001910513,0.00095860596,0.00070811255,0.00045398236,0.005807816],"category_scores_gemma":[0.0025365334,0.0003605442,0.00028213195,0.0007783326,0.0002995792,0.001174311,0.00076230115,0.0006114746,0.0011907984],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019020945,0.00011413868,0.0059509682,0.00032468975,0.00003644301,0.0005226489,0.00035873856,0.050450116,0.16293891,0.01589073,0.0134979775,0.7497244],"study_design_scores_gemma":[0.000071809605,0.0002611677,0.0039249593,0.00007982685,0.000041591422,0.0010127248,0.00016047258,0.744845,0.1717585,0.007349052,0.070339344,0.00015566833],"about_ca_topic_score_codex":0.00034199172,"about_ca_topic_score_gemma":0.0005119252,"teacher_disagreement_score":0.005807816,"about_ca_system_score_codex":0.0002061023,"about_ca_system_score_gemma":0.00036389852,"threshold_uncertainty_score":0.019429088},"labels":[],"label_agreement":null},{"id":"W2142764050","doi":"","title":"Making FX Interpolation More Robust by Spectrum-guided Reconstruction","year":2009,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Extrapolation; Interpolation (computer graphics); Missing data; Algorithm; Spectrum (functional analysis); Domain (mathematical analysis); Computer science; Mathematics; Data mining; Artificial intelligence; Statistics; Physics; Mathematical analysis","score_opus":0.0319077485154596,"score_gpt":0.28956862049722276,"score_spread":0.2576608719817632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142764050","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05482088,0.000048966176,0.9435096,0.00006300514,0.000031291853,0.000011909839,0.00003315442,0.0005752767,0.00090589386],"genre_scores_gemma":[0.444624,0.000093682116,0.5530436,0.000055452754,0.00003846441,0.000028351411,0.00018318467,0.00020628383,0.0017269067],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961436,0.00008721293,0.000019444122,0.00007603068,0.00016541664,0.00003749204],"domain_scores_gemma":[0.9992711,0.00026481439,0.00007500456,0.00020590964,0.00016263431,0.000020571857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009885088,0.00052886666,0.00047943386,0.0006563237,0.00022818206,0.0005724505,0.00054646475,0.0006449177,0.0023166134],"category_scores_gemma":[0.0027962932,0.00028039698,0.00048337982,0.00042138685,0.0005326056,0.00074566866,0.0006848968,0.0007103335,0.0006596542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006988957,0.000112629976,0.002058861,0.00012270991,0.0000782825,0.00019175053,0.00015997102,0.40605578,0.22574368,0.014784878,0.0016455196,0.34834707],"study_design_scores_gemma":[0.000017852795,0.000049699043,0.0005470976,0.000011979902,0.000014631893,0.00008823849,0.000021906999,0.9548695,0.040358335,0.0024241256,0.0015802558,0.000016332335],"about_ca_topic_score_codex":0.001420585,"about_ca_topic_score_gemma":0.0011245491,"teacher_disagreement_score":0.0023166134,"about_ca_system_score_codex":0.0001882763,"about_ca_system_score_gemma":0.0005626509,"threshold_uncertainty_score":0.0077498555},"labels":[],"label_agreement":null},{"id":"W2144760208","doi":"10.1139/t11-050","title":"Critical assessment of pile modulus determination methods","year":2011,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Geotechnical engineering; Pile; Modulus; Geology; Forensic engineering; Engineering; Structural engineering; Materials science; Composite material","score_opus":0.039519574108056565,"score_gpt":0.35287224260493383,"score_spread":0.31335266849687726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144760208","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04172023,0.013456325,0.9323628,0.0011542259,0.0006378275,0.0008942102,0.00035911365,0.0014405963,0.007974692],"genre_scores_gemma":[0.20683084,0.006111982,0.7797673,0.00035856647,0.00029375948,0.0007526334,0.0004682303,0.00085020124,0.004566478],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9742957,0.007538303,0.0013901556,0.0015825195,0.014764749,0.00042864995],"domain_scores_gemma":[0.884664,0.0648385,0.004768068,0.008609329,0.036418274,0.00070182077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.024962325,0.0020723853,0.001063563,0.0049878256,0.0011498925,0.0020769108,0.0027190023,0.0015940382,0.004400278],"category_scores_gemma":[0.08178245,0.0010535,0.0006799372,0.0015336688,0.0013794847,0.0027242235,0.002382712,0.0018740926,0.0023226012],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001677169,0.0002328984,0.018917667,0.003660519,0.00016358297,0.00047514896,0.0015437211,0.008687065,0.15657969,0.015080361,0.0057304585,0.7872517],"study_design_scores_gemma":[0.00021897706,0.0027689703,0.038457226,0.0025729574,0.0004931471,0.0052619562,0.0017434132,0.09791465,0.6738755,0.021226231,0.15487127,0.0005956414],"about_ca_topic_score_codex":0.0011179934,"about_ca_topic_score_gemma":0.0017441382,"teacher_disagreement_score":0.024962325,"about_ca_system_score_codex":0.0012252757,"about_ca_system_score_gemma":0.001967477,"threshold_uncertainty_score":0.13201493},"labels":[],"label_agreement":null},{"id":"W2146897113","doi":"10.1029/2007wr006375","title":"A view toward the future of subsurface characterization: CAT scanning groundwater basins","year":2008,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Strategic Environmental Research and Development Program","keywords":"Characterization (materials science); Structural basin; Scale (ratio); Remote sensing; Geology; Groundwater; Earth science; Environmental science; Geophysics; Hydrology (agriculture); Geomorphology; Geography; Cartography; Geotechnical engineering","score_opus":0.06163271581811052,"score_gpt":0.31066530821174154,"score_spread":0.249032592393631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146897113","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019780125,0.053679537,0.74980575,0.14926258,0.001382977,0.00010945509,0.0005933943,0.001417671,0.023968445],"genre_scores_gemma":[0.361295,0.034235105,0.58503246,0.0101356115,0.0016221085,0.00030020258,0.00040797656,0.00020183096,0.006769668],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989434,0.00057648536,0.00004236069,0.00011448921,0.00026474596,0.000058571695],"domain_scores_gemma":[0.99541205,0.0021156233,0.00022185418,0.0005643718,0.0014307456,0.00025535113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056739235,0.0004230173,0.0007445499,0.0014013649,0.0005057185,0.0031563006,0.0015517251,0.0027760114,0.003364906],"category_scores_gemma":[0.006165137,0.0002568259,0.0004281503,0.001416835,0.00404009,0.009430818,0.0015388767,0.0018308704,0.0005613292],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012146566,0.00007385864,0.005408355,0.0005454309,0.00003400079,0.000098935925,0.0004013558,0.017708795,0.0044581178,0.5232975,0.022380706,0.4254715],"study_design_scores_gemma":[0.000029814984,0.0002725894,0.0031834615,0.000449327,0.000045427314,0.00032086013,0.0013766706,0.08340067,0.0047831046,0.62668484,0.27932256,0.00013062576],"about_ca_topic_score_codex":0.0029719607,"about_ca_topic_score_gemma":0.0023638457,"teacher_disagreement_score":0.0056739235,"about_ca_system_score_codex":0.0010865342,"about_ca_system_score_gemma":0.001983085,"threshold_uncertainty_score":0.030006945},"labels":[],"label_agreement":null},{"id":"W2147032473","doi":"10.1109/aps.1988.94252","title":"Adaptive beam-space nulling of multipath signals","year":2003,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Beamwidth; Multipath propagation; SIGNAL (programming language); Antenna (radio); Computer science; Antenna array; Electronic engineering; Telecommunications; Engineering","score_opus":0.022772919471883465,"score_gpt":0.2492091888406227,"score_spread":0.22643626936873923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147032473","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0065303314,0.000066644956,0.99167657,0.00003214507,0.00002451448,0.000014600802,0.000022211818,0.0003464086,0.0012866351],"genre_scores_gemma":[0.06734199,0.00014888745,0.92760915,0.000048509948,0.000029202542,0.00006622397,0.00018155364,0.00013891753,0.0044355304],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995921,0.00009240721,0.000018601417,0.000064989006,0.00019661228,0.00003531939],"domain_scores_gemma":[0.9992742,0.0002654858,0.00006579186,0.00011645931,0.00025098276,0.000027082677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055854785,0.00071348116,0.00044410364,0.00063376565,0.00030112348,0.0006506965,0.00085886783,0.000584721,0.0040291413],"category_scores_gemma":[0.0019252406,0.0002652996,0.00043541178,0.00084856007,0.0005633316,0.00096117076,0.0009053585,0.00067572977,0.0014197613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051464245,0.00007100078,0.0012950139,0.00011966989,0.00006841871,0.000108106644,0.00019164782,0.07768486,0.122594245,0.04021433,0.0029009911,0.75423706],"study_design_scores_gemma":[0.000096004085,0.00016069872,0.0012319025,0.00003486534,0.00003632302,0.00039298623,0.000057412115,0.87002057,0.086133316,0.02494109,0.016815692,0.00007915916],"about_ca_topic_score_codex":0.0006010695,"about_ca_topic_score_gemma":0.00084248214,"teacher_disagreement_score":0.0040291413,"about_ca_system_score_codex":0.00030583722,"about_ca_system_score_gemma":0.00043793936,"threshold_uncertainty_score":0.013478875},"labels":[],"label_agreement":null},{"id":"W2147889646","doi":"10.1190/1.1614162","title":"Stratigraphic imaging of the Navajo Sandstone using ground-penetrating radar","year":2003,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Petrel Robertson Consulting (Canada); University of Calgary","funders":"","keywords":"Navajo; Geology; Ground-penetrating radar; Geomorphology; Archaeology; Radar; Geography; Engineering","score_opus":0.02410644027958867,"score_gpt":0.2687649009445631,"score_spread":0.24465846066497446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147889646","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9822536,0.0002955069,0.009597874,0.00008742694,0.000012810053,0.000021632111,0.00046477772,0.00021975985,0.0070465645],"genre_scores_gemma":[0.98447305,0.0002481883,0.013159308,0.000036048157,0.000007618107,0.0000069328667,0.00034093962,0.000014319604,0.0017136786],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999682,0.000002126091,0.0000014771537,0.0000075421344,0.000011458638,0.0000092915225],"domain_scores_gemma":[0.9999584,0.0000062931836,0.000007759936,0.000004227736,0.000016234924,0.000007071677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000072108276,0.00013105466,0.000055419285,0.0005296236,0.00009943954,0.00022727033,0.000120688295,0.0001193962,0.0007915263],"category_scores_gemma":[0.00013395734,0.00011549455,0.000041226744,0.00037226538,0.000068352434,0.0001788096,0.00017637343,0.00008737076,0.00016419517],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026880676,0.000104502746,0.10842201,0.00013642212,0.00003925481,0.0006872134,0.00062162994,0.0051665804,0.55346185,0.0008913384,0.0019162392,0.3282842],"study_design_scores_gemma":[0.000052017193,0.0001931389,0.8309559,0.0000755557,0.00007102655,0.0019559818,0.001356881,0.0838001,0.070860736,0.00079873455,0.009836265,0.000043736374],"about_ca_topic_score_codex":0.0074716182,"about_ca_topic_score_gemma":0.020465102,"teacher_disagreement_score":0.0074716182,"about_ca_system_score_codex":0.0000894809,"about_ca_system_score_gemma":0.00018306958,"threshold_uncertainty_score":0.014856279},"labels":[],"label_agreement":null},{"id":"W2148614910","doi":"10.1117/12.458390","title":"&lt;title&gt;Bayesian approach to sensor fusion in a multisensor land mine detection system&lt;/title&gt;","year":2002,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"General Dynamics (Canada)","funders":"","keywords":"Bayesian probability; Sensor fusion; Bayesian inference; Inference; Computer science; Statistical inference; Data mining; Artificial intelligence; Fusion; Statistics; Mathematics","score_opus":0.012381743881418536,"score_gpt":0.21749287321302657,"score_spread":0.20511112933160802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148614910","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031722866,0.0005707554,0.99132794,0.00071370014,0.00011663141,0.000026832337,0.00008991741,0.00030351322,0.0036785044],"genre_scores_gemma":[0.2703729,0.002283089,0.6939585,0.0007396048,0.00044307194,0.00014979782,0.0005141408,0.00039075606,0.031148113],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990164,0.00027109575,0.00004190271,0.00014801454,0.00046863445,0.00005388687],"domain_scores_gemma":[0.99903154,0.0005157198,0.00005316979,0.00007566383,0.00029213508,0.000031881787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013305562,0.00036557764,0.0005675296,0.0005514002,0.00042528537,0.00092411746,0.00084456714,0.0008384243,0.00707548],"category_scores_gemma":[0.0030717638,0.0002921996,0.00043494054,0.0009120982,0.00075915206,0.0012951436,0.000591203,0.0010273879,0.0020764244],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041854006,0.000101997124,0.0019220884,0.00023850673,0.00011606189,0.0002386824,0.00022695963,0.28008392,0.019819168,0.13494422,0.021743009,0.5401469],"study_design_scores_gemma":[0.000013889932,0.000048064736,0.0008681042,0.000028603297,0.00002229982,0.00010310802,0.000021683862,0.9351395,0.007960077,0.041727528,0.014023345,0.000043801767],"about_ca_topic_score_codex":0.0115471445,"about_ca_topic_score_gemma":0.020798901,"teacher_disagreement_score":0.0115471445,"about_ca_system_score_codex":0.0014409277,"about_ca_system_score_gemma":0.000864359,"threshold_uncertainty_score":0.023669839},"labels":[],"label_agreement":null},{"id":"W2149683719","doi":"10.1109/mwsym.2000.863556","title":"The application of the wave potential functions to the analysts of transient electromagnetic fields","year":2002,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Electromagnetic field; Transient (computer programming); Electromagnetic wave equation; Scalar potential; Boundary value problem; Physics; Scalar (mathematics); Time domain; Scalar field; Computational electromagnetics; Wave propagation; Optical field; Electromagnetic pulse; Electromagnetic radiation; Field (mathematics); Computer science; Classical mechanics; Mathematics; Optics; Quantum mechanics; Geometry","score_opus":0.00786614254710008,"score_gpt":0.20172913209707294,"score_spread":0.19386298954997286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149683719","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0032453518,0.00023744236,0.9936841,0.00020378435,0.00006803818,0.000014011845,0.00001170191,0.00006758922,0.0024679038],"genre_scores_gemma":[0.21397626,0.0029327958,0.7735685,0.00018301012,0.00034429622,0.00022215764,0.00012872406,0.00026427567,0.008379922],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99958307,0.00015787208,0.000022675604,0.000029149336,0.00017453845,0.000032743177],"domain_scores_gemma":[0.99847895,0.0009839694,0.00008396391,0.00015138763,0.00025175975,0.00005000988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011376407,0.00051571574,0.0004352597,0.0011908386,0.0006397247,0.0015902225,0.0008138329,0.00082890136,0.0014100268],"category_scores_gemma":[0.0050535235,0.00034673273,0.0005423299,0.0010865275,0.001898843,0.0017725114,0.00092190824,0.0016926635,0.00067911344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021410586,0.000036288813,0.000320202,0.00011560642,0.000016503342,0.00027286212,0.0002247649,0.11954543,0.006831358,0.7626835,0.0018376602,0.10809446],"study_design_scores_gemma":[0.000005201735,0.00003159575,0.00017929086,0.000029349094,0.0000052853893,0.0002373746,0.0000736584,0.61577785,0.0038592091,0.3669423,0.01283366,0.00002524752],"about_ca_topic_score_codex":0.0008958153,"about_ca_topic_score_gemma":0.0003891436,"teacher_disagreement_score":0.0015902225,"about_ca_system_score_codex":0.000350599,"about_ca_system_score_gemma":0.0009888028,"threshold_uncertainty_score":0.006016493},"labels":[],"label_agreement":null},{"id":"W2150220544","doi":"10.1061/9780784412329.088","title":"Application Potential of Ultra-Wide Band Radar for Detecting Buried Obstructions in Construction","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"PCL Construction (Canada); University of Alberta","funders":"","keywords":"Ground-penetrating radar; Radar; Flooding (psychology); Engineering; Pipeline transport; Urbanization; Civil engineering; Construction engineering; Risk analysis (engineering); Telecommunications","score_opus":0.032118384416426574,"score_gpt":0.3319123283537727,"score_spread":0.29979394393734615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150220544","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2122648,0.039052602,0.72809756,0.0005907663,0.00027062345,0.0001106851,0.00007381949,0.00048236945,0.019056752],"genre_scores_gemma":[0.7819346,0.01700228,0.19615458,0.00019130914,0.00014157046,0.000054755656,0.000071638715,0.00002706159,0.0044220374],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99960846,0.00014642275,0.0000137205225,0.000050736195,0.00015474929,0.000025889332],"domain_scores_gemma":[0.99962366,0.00018966806,0.00006175133,0.000029172657,0.00008290228,0.000012778741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051706174,0.0003026391,0.00020061088,0.0006778312,0.000114948605,0.0004489851,0.00028248967,0.0006158096,0.0006756117],"category_scores_gemma":[0.0006464774,0.000136838,0.00018738548,0.00052275276,0.00033721072,0.00070977525,0.00035364486,0.00021465572,0.00031411197],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024714507,0.000099131954,0.0055496255,0.00091748976,0.000040168223,0.00090225,0.00041605244,0.008675235,0.5228757,0.005273471,0.0011507906,0.45385292],"study_design_scores_gemma":[0.00007244383,0.0029743596,0.026649553,0.0004396487,0.00032220155,0.012154456,0.0016561861,0.0952989,0.7869669,0.01061798,0.062617294,0.00023013733],"about_ca_topic_score_codex":0.00013007411,"about_ca_topic_score_gemma":0.00022424311,"teacher_disagreement_score":0.0006778312,"about_ca_system_score_codex":0.00016331126,"about_ca_system_score_gemma":0.00013909944,"threshold_uncertainty_score":0.0027344823},"labels":[],"label_agreement":null},{"id":"W2151644453","doi":"10.1109/tap.2013.2281720","title":"A Modified TEM Horn Antenna Customized for Oil Well Monitoring Applications","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Antennas and Propagation","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Radiation pattern; Antenna measurement; Optics; Antenna (radio); Acoustics; Horn antenna; Coaxial antenna; Materials science; Side lobe; Computer science; Physics; Slot antenna; Telecommunications","score_opus":0.01788263823225285,"score_gpt":0.24542600714417667,"score_spread":0.2275433689119238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151644453","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13673592,0.00043336282,0.8488407,0.0002861604,0.000390793,0.00009150571,0.00030583623,0.00216463,0.010751159],"genre_scores_gemma":[0.5628691,0.00049353007,0.42032647,0.00043307274,0.00012926511,0.00012978219,0.00066620146,0.0002386684,0.014713982],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99979705,0.00003486369,0.000015230934,0.000041153144,0.00008252074,0.000029257493],"domain_scores_gemma":[0.99956554,0.00005122862,0.000092957256,0.00009492321,0.00016307304,0.000032273056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015822983,0.00048048724,0.00040653162,0.00025054673,0.00007032156,0.00036947653,0.0007009155,0.00062345545,0.0015766706],"category_scores_gemma":[0.00032876318,0.00019553724,0.0003552289,0.00036105822,0.00013065625,0.0003323409,0.00027097474,0.00043506283,0.0012797224],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025822202,0.000039371058,0.0009501954,0.00016045517,0.000029575822,0.00031625672,0.000045347067,0.004195308,0.91863525,0.0015460938,0.0021576586,0.07166624],"study_design_scores_gemma":[0.00009474127,0.0011334154,0.005935453,0.000034822933,0.00012443188,0.005016808,0.00007352545,0.08853018,0.84280723,0.0006439747,0.055490457,0.00011493688],"about_ca_topic_score_codex":0.00013668698,"about_ca_topic_score_gemma":0.00019984419,"teacher_disagreement_score":0.0015766706,"about_ca_system_score_codex":0.00020510211,"about_ca_system_score_gemma":0.00017454218,"threshold_uncertainty_score":0.0052744746},"labels":[],"label_agreement":null},{"id":"W2152504797","doi":"10.1139/t10-045","title":"Field investigation of a suction break designed to control slope-induced desaturation in an oxygen barrier","year":2010,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Université du Québec en Abitibi-Témiscamingue; Natural Sciences and Engineering Research Council of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Suction; Geotechnical engineering; Geology; Hydraulic jump; Saturation (graph theory); Infiltration (HVAC); Environmental science; Mechanics; Materials science; Engineering; Flow (mathematics)","score_opus":0.011862224039485822,"score_gpt":0.24195803577557476,"score_spread":0.23009581173608895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152504797","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991505,0.000014414772,0.0006785571,0.000006337442,0.0000041930502,0.000018622854,0.00003541672,0.000019105724,0.00007290077],"genre_scores_gemma":[0.99824274,0.00002712978,0.0014080807,0.000010580131,0.0000024570547,0.000024983543,0.00005856328,0.0000036925553,0.00022172845],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998981,0.000009009952,0.000006227337,0.000025351319,0.000033519227,0.000027887438],"domain_scores_gemma":[0.99967754,0.00007835579,0.00007760928,0.000027053897,0.000074031705,0.00006548458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023309118,0.00023361135,0.00022941396,0.00015640532,0.00033017885,0.00017221847,0.00027723794,0.00033738645,0.0005426676],"category_scores_gemma":[0.00036027015,0.00012641899,0.00014866628,0.00013367011,0.00026672927,0.00020521184,0.00019640313,0.00036271402,0.000064617954],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035566534,0.00022960415,0.0039642313,0.000044601304,0.000005961496,0.000079039186,0.00008426631,0.00090305414,0.9902503,0.00004009834,0.00006114826,0.0039820117],"study_design_scores_gemma":[0.00011335742,0.010112397,0.07783309,0.000013695798,0.000050440878,0.00011125917,0.00024402051,0.012185921,0.8974156,0.000069401205,0.0018302586,0.000020596723],"about_ca_topic_score_codex":0.0018453994,"about_ca_topic_score_gemma":0.0035547568,"teacher_disagreement_score":0.0018453994,"about_ca_system_score_codex":0.00027776178,"about_ca_system_score_gemma":0.0002496775,"threshold_uncertainty_score":0.0036693811},"labels":[],"label_agreement":null},{"id":"W2152612388","doi":"10.1146/annurev.earth.29.1.229","title":"Ground Penetrating Radar for Environmental Applications","year":2001,"lang":"en","type":"article","venue":"Annual Review of Earth and Planetary Sciences","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":209,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ground-penetrating radar; Hydrogeology; Geology; Radar; Remote sensing; Subsurface flow; Permeability (electromagnetism); Environmental science; Soil science; Groundwater; Geotechnical engineering; Computer science","score_opus":0.015543053785695118,"score_gpt":0.25740544215591743,"score_spread":0.2418623883702223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152612388","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009346652,0.16150852,0.21750928,0.014789813,0.012580863,0.00061782484,0.002581439,0.0050439797,0.57602173],"genre_scores_gemma":[0.14548717,0.1745461,0.1569364,0.0048437444,0.0065836073,0.00075677584,0.005531444,0.0005697615,0.50474495],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99972063,0.000049391205,0.000017489132,0.00005112124,0.00013656844,0.000024762285],"domain_scores_gemma":[0.9990711,0.00018489778,0.00008023903,0.00013759003,0.00046216795,0.00006382612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048033363,0.0005747974,0.0005230807,0.00081576506,0.00032721754,0.0014102637,0.0006174372,0.0012865848,0.073550746],"category_scores_gemma":[0.0013100572,0.00015950183,0.00025684794,0.0014954103,0.00033068762,0.0011404059,0.00086880143,0.0011106383,0.04842257],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010447719,0.000060237282,0.0005813748,0.00079654343,0.000021819973,0.0003220909,0.00009725213,0.0010886774,0.016649894,0.036406394,0.16035078,0.78352046],"study_design_scores_gemma":[0.00001643465,0.00006949673,0.0007094456,0.00023644342,0.000017695818,0.00059504685,0.000060798207,0.0018846088,0.003128778,0.017881647,0.97538143,0.000018267125],"about_ca_topic_score_codex":0.00032052404,"about_ca_topic_score_gemma":0.00026812777,"teacher_disagreement_score":0.073550746,"about_ca_system_score_codex":0.00032380025,"about_ca_system_score_gemma":0.0004355874,"threshold_uncertainty_score":0.24605173},"labels":[],"label_agreement":null},{"id":"W2154264845","doi":"10.1029/2008jg000787","title":"Ecohydrologically important subsurface structures in peatlands revealed by ground‐penetrating radar and complex conductivity surveys","year":2008,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of Calgary","funders":"National Science Foundation","keywords":"Peat; Ground-penetrating radar; Geology; Soil science; Transect; Geomorphology; Bog; Geophysics; Radar; Hydrology (agriculture); Geotechnical engineering; Ecology","score_opus":0.06756744319028088,"score_gpt":0.33397485215269773,"score_spread":0.2664074089624169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154264845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99967086,0.000019254248,0.00016875549,0.0000016637891,2.3244822e-7,9.2881174e-7,0.000016560647,0.0000026926498,0.00011910029],"genre_scores_gemma":[0.99964154,0.000016760116,0.00023955303,0.0000012667913,3.4237024e-7,0.0000014968259,0.0000313741,0.0000010935472,0.000066446904],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999366,0.000012933962,0.0000041848984,0.000017320814,0.000009618197,0.000019308378],"domain_scores_gemma":[0.9998404,0.00003768594,0.000055791636,0.000010829645,0.000029795292,0.00002552771],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000113976224,0.00012899592,0.00010475973,0.0007216226,0.0001514053,0.00031253597,0.000089234556,0.00018300083,0.00020340293],"category_scores_gemma":[0.00029088932,0.00015139,0.000077138095,0.00030845305,0.00035860125,0.00023716877,0.00028761677,0.00008230245,0.000054217504],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016861063,0.0000514023,0.71676546,0.000047552327,0.000027087292,0.0007514663,0.0018108395,0.0014285535,0.26674044,0.00022270085,0.000041749343,0.011944068],"study_design_scores_gemma":[0.0000011602169,0.000032748492,0.9966097,0.0000032807995,0.00000500986,0.00018581032,0.00037130306,0.0008352124,0.0018389206,0.000035331475,0.00007780649,0.0000038410535],"about_ca_topic_score_codex":0.005239262,"about_ca_topic_score_gemma":0.013243867,"teacher_disagreement_score":0.005239262,"about_ca_system_score_codex":0.00013407157,"about_ca_system_score_gemma":0.00017423737,"threshold_uncertainty_score":0.010417521},"labels":[],"label_agreement":null},{"id":"W2155672135","doi":"10.1190/1.3377009","title":"Unexploded ordnance discrimination using magnetic and electromagnetic sensors: Case study from a former military site","year":2010,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia Hospital; Quest University Canada; University of British Columbia","funders":"","keywords":"Magnetometer; EMI; Unexploded ordnance; Electromagnetic interference; Acoustics; Computer science; Geology; Remote sensing; Pattern recognition (psychology); Artificial intelligence; Physics; Telecommunications; Magnetic field","score_opus":0.012846432608996454,"score_gpt":0.24819171485474242,"score_spread":0.23534528224574597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155672135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99841344,0.000035741854,0.00093496055,0.000080632664,0.000004292351,0.000023849294,0.00003102778,0.000010745251,0.00046532726],"genre_scores_gemma":[0.9954786,0.000059293372,0.003672683,0.00005355836,0.00000936978,0.000008845373,0.000050882183,0.0000078831135,0.0006589956],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994104,0.00015549075,0.000034338478,0.00009580632,0.00020875674,0.00009533547],"domain_scores_gemma":[0.99838996,0.0007021097,0.00020763151,0.00013506126,0.0003536215,0.00021162737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008626896,0.0005459561,0.00043122476,0.0012546709,0.0016212959,0.0008433368,0.0010168416,0.001653125,0.0007330086],"category_scores_gemma":[0.0024269682,0.0002932495,0.00035575067,0.0010449358,0.0008934312,0.0005698427,0.00069008133,0.0006507502,0.0002653216],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008952513,0.0025042326,0.7695549,0.00029882503,0.00017214956,0.08868611,0.020252574,0.011594039,0.02670414,0.00058325933,0.0013893661,0.0773652],"study_design_scores_gemma":[0.00015696915,0.0038147725,0.77104795,0.00016144147,0.00024163276,0.048038393,0.07053021,0.06499279,0.032898135,0.0012026873,0.006699491,0.00021552366],"about_ca_topic_score_codex":0.018175136,"about_ca_topic_score_gemma":0.06228194,"teacher_disagreement_score":0.018175136,"about_ca_system_score_codex":0.0006147086,"about_ca_system_score_gemma":0.0004910069,"threshold_uncertainty_score":0.036138654},"labels":[],"label_agreement":null},{"id":"W2156883611","doi":"10.1111/j.1945-5100.2009.tb01217.x","title":"Identification of the Bloody Creek structure, a possible impact crater in southwestern Nova Scotia, Canada","year":2009,"lang":"en","type":"article","venue":"Meteoritics and Planetary Science","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Geological Survey of Canada; Acadia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geology; Impact structure; Impact crater; Mylonite; Quartz; Metamorphic rock; Geochemistry; Feldspar; Geomorphology; Paleontology; Tectonics; Shear zone","score_opus":0.006924060896279501,"score_gpt":0.2266968732545045,"score_spread":0.219772812358225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156883611","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98930347,0.00046835982,0.00017106102,0.000110262285,0.000012732153,0.00009176745,0.0011367514,0.000013901786,0.0086918045],"genre_scores_gemma":[0.9958134,0.00020231106,0.00030482083,0.000036091908,0.0000018637998,0.000012429449,0.0004232668,0.000002727026,0.003203014],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998797,0.000005210632,0.0000049061755,0.00002052143,0.00003775894,0.000051899686],"domain_scores_gemma":[0.9996207,0.000020192992,0.00004994069,0.000012824851,0.00020218536,0.00009407309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011385728,0.00022000623,0.00014089678,0.0012581103,0.0018466682,0.00069439976,0.000313918,0.0002223184,0.0017759216],"category_scores_gemma":[0.00034979323,0.00018676119,0.00012891783,0.0011957006,0.00057273294,0.000112136324,0.00055833627,0.00016861384,0.0002531344],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018996118,0.000029425144,0.95175785,0.00014518233,0.000044879926,0.003053969,0.0018588415,0.0009067114,0.012245784,0.00044991367,0.0025326852,0.026784746],"study_design_scores_gemma":[0.000005209938,0.000016161684,0.9947024,0.000036392867,0.0000060821826,0.0002807947,0.0013885567,0.00029629248,0.00027292568,0.000018454723,0.0029723025,0.000004419269],"about_ca_topic_score_codex":0.97826195,"about_ca_topic_score_gemma":0.99515694,"teacher_disagreement_score":0.021738052,"about_ca_system_score_codex":0.0074390853,"about_ca_system_score_gemma":0.009781811,"threshold_uncertainty_score":0.05397463},"labels":[],"label_agreement":null},{"id":"W2156979934","doi":"10.2113/jeeg20.1.31","title":"Ultrasonic Testing of a Grouted Steel Tank for Debonding Conditions","year":2015,"lang":"en","type":"article","venue":"Journal of Environmental and Engineering Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Ultrasonic sensor; Materials science; Rayleigh wave; Frequency domain; Void (composites); Grout; Attenuation; Longitudinal wave; Lamb waves; Low frequency; Acoustics; Hammer; Surface wave; Wave propagation; Composite material; Optics; Engineering; Physics","score_opus":0.019739720362771742,"score_gpt":0.21769684405201353,"score_spread":0.1979571236892418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156979934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943212,0.0000561793,0.005190202,0.000014414477,0.000007033019,0.000016320368,0.00007542424,0.00007858506,0.00024065725],"genre_scores_gemma":[0.9954941,0.00004962409,0.003453138,0.000012208072,0.0000013892145,0.000012393747,0.00007454483,0.000010320463,0.00089231035],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996507,0.000033226563,0.000017338483,0.00006255975,0.00019628058,0.000039945182],"domain_scores_gemma":[0.99962413,0.00013178437,0.000056231474,0.000033829212,0.00012279366,0.000031292995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029903903,0.00038145843,0.00031216105,0.00037129183,0.00026482952,0.0002557627,0.0005067067,0.00052916113,0.0011911466],"category_scores_gemma":[0.00055314205,0.00016305932,0.0002594527,0.0003260016,0.00037109328,0.00025520465,0.00030139636,0.00018794091,0.0002677857],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012047471,0.0000229251,0.001397034,0.00003569668,0.000004772612,0.00011991796,0.0001024181,0.0009752939,0.9944594,0.00002443443,0.000027635946,0.0027100723],"study_design_scores_gemma":[0.000020156642,0.0012674073,0.01852999,0.0000127102585,0.000028944158,0.00012763905,0.00037076903,0.012758873,0.96626216,0.000041629173,0.00055670703,0.000023076647],"about_ca_topic_score_codex":0.0019510448,"about_ca_topic_score_gemma":0.0034533087,"teacher_disagreement_score":0.0019510448,"about_ca_system_score_codex":0.00028024463,"about_ca_system_score_gemma":0.00024696358,"threshold_uncertainty_score":0.0039847493},"labels":[],"label_agreement":null},{"id":"W2156988484","doi":"10.1029/2009wr008815","title":"An examination of direct ground wave soil moisture monitoring over an annual cycle of soil conditions","year":2010,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Water content; Environmental science; Soil science; Soil water; Range (aeronautics); Dispersion (optics); Atmospheric sciences; Geology; Geotechnical engineering; Materials science; Physics","score_opus":0.03127457134977364,"score_gpt":0.34089196564478164,"score_spread":0.309617394295008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156988484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99813473,0.00006298909,0.000962802,0.000008625337,0.000002596488,0.000008010004,0.0003451736,0.000020081763,0.0004548603],"genre_scores_gemma":[0.99859434,0.000044511624,0.0008400522,0.000010825096,0.000004854288,0.000009003638,0.0003041913,0.0000034617337,0.00018869375],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999918,0.000009944263,0.0000054403977,0.000035006946,0.000021377859,0.000010294487],"domain_scores_gemma":[0.99960107,0.00009610711,0.00013316494,0.000034380355,0.00010608292,0.00002921047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024239247,0.00016038516,0.00016011838,0.000580755,0.00012451093,0.00018980462,0.00015584112,0.0002285326,0.00041361662],"category_scores_gemma":[0.00047433222,0.00008209222,0.000095431016,0.00057461584,0.00010390572,0.00020153439,0.0001616737,0.0001248012,0.000109392946],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025803017,0.00017884959,0.8018049,0.00012116789,0.00011337904,0.00023906166,0.0004044762,0.0025084505,0.13020687,0.00007887042,0.000313855,0.06377199],"study_design_scores_gemma":[0.000002420683,0.000102470316,0.9941355,0.0000032252124,0.000014073774,0.00010072611,0.00007902246,0.0021790096,0.003047635,0.000017024331,0.00031479629,0.000004188041],"about_ca_topic_score_codex":0.0015613573,"about_ca_topic_score_gemma":0.003549435,"teacher_disagreement_score":0.0015613573,"about_ca_system_score_codex":0.00007978355,"about_ca_system_score_gemma":0.000059519843,"threshold_uncertainty_score":0.003104508},"labels":[],"label_agreement":null},{"id":"W2157728843","doi":"10.1139/x10-076","title":"Electric resistivity tomography shows radial variation of electrolytes in Quercus robur","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Electrical resistivity and conductivity; Quercus robur; Water content; Pith; Electrical resistivity tomography; Mineralogy; Materials science; Soil science; Botany; Environmental science; Geology; Biology; Physics; Geotechnical engineering","score_opus":0.01927527264282929,"score_gpt":0.28819426142994214,"score_spread":0.26891898878711284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157728843","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988167,0.00005200778,0.00065481977,0.000015533591,9.3752755e-7,0.0000013169613,0.000062353596,0.000024698309,0.0003716267],"genre_scores_gemma":[0.9991197,0.000036115725,0.00048082572,0.000010121746,0.0000012946433,0.0000010923334,0.00009142042,0.000006385287,0.00025300938],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999715,0.0000029257142,0.0000012353756,0.000007962691,0.000007802344,0.000008608547],"domain_scores_gemma":[0.9999018,0.000018455177,0.000024713496,0.0000060222064,0.000030372272,0.00001866875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000070242815,0.00014818198,0.00010413247,0.00049409975,0.000108176675,0.00025017268,0.00013978968,0.000208906,0.00061528647],"category_scores_gemma":[0.00018310224,0.0001123295,0.000069813956,0.00019251878,0.00016105533,0.00016020496,0.0001252325,0.00012912895,0.00015585776],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002974501,0.00005905207,0.14525563,0.000052528103,0.000040576797,0.0014310745,0.0006092066,0.0011659146,0.83030313,0.0001967661,0.00029894186,0.020289805],"study_design_scores_gemma":[0.0000068406716,0.000050468752,0.9797696,0.000006970179,0.000017236755,0.0015900087,0.0003936813,0.0030076778,0.014629301,0.00008317542,0.0004310011,0.000013928286],"about_ca_topic_score_codex":0.006337894,"about_ca_topic_score_gemma":0.00925066,"teacher_disagreement_score":0.006337894,"about_ca_system_score_codex":0.00009278159,"about_ca_system_score_gemma":0.00007885111,"threshold_uncertainty_score":0.012601972},"labels":[],"label_agreement":null},{"id":"W2157921697","doi":"10.1306/021604740690","title":"Annual Layers Revealed by GPR in the Subsurface of a Prograding Coastal Barrier, Southwest Washington, U.S.A.","year":2004,"lang":"en","type":"article","venue":"Journal of Sedimentary Research","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of the Fraser Valley","funders":"U.S. Geological Survey; Southwest University","keywords":"Geology; Ground-penetrating radar; Geomorphology; Barrier island; Geochemistry; Oceanography; Radar","score_opus":0.029498597683828422,"score_gpt":0.33108489125461815,"score_spread":0.30158629357078975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157921697","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99942446,0.000027329306,0.00009858278,0.000014628352,0.0000012792696,0.0000011637122,0.00012542823,0.000011942114,0.0002951889],"genre_scores_gemma":[0.99941087,0.000029187873,0.00021191772,0.000010396385,0.0000013563031,0.0000015738852,0.00017234984,0.0000012828514,0.0001612182],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999832,0.0000020121283,0.000001054221,0.0000044840876,0.000003859819,0.0000054695947],"domain_scores_gemma":[0.9999429,0.000008635575,0.000012829891,0.0000045277325,0.000017938572,0.000013195712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000511714,0.000084397885,0.00006797348,0.00026994615,0.00018917407,0.00021173611,0.00008147837,0.0001665708,0.00035396442],"category_scores_gemma":[0.0001323681,0.000069429945,0.00003221844,0.00024810943,0.00010975217,0.000104515275,0.00015732567,0.00012268078,0.00009459503],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004165255,0.00012837342,0.896663,0.00004657898,0.000046185967,0.0019232238,0.0012967358,0.0011200374,0.06785118,0.00010738939,0.0013217834,0.029078975],"study_design_scores_gemma":[0.0000050524645,0.00005468498,0.9959006,0.0000066985754,0.000013095764,0.00030193853,0.0007597281,0.0012985886,0.0009978745,0.00003095314,0.00062747963,0.0000034662185],"about_ca_topic_score_codex":0.01647447,"about_ca_topic_score_gemma":0.03323839,"teacher_disagreement_score":0.01647447,"about_ca_system_score_codex":0.00011410867,"about_ca_system_score_gemma":0.00013807492,"threshold_uncertainty_score":0.032757163},"labels":[],"label_agreement":null},{"id":"W2158157976","doi":"10.1190/1.2335515","title":"Mapping fractures with GPR: A case study from Turtle Mountain","year":2006,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta; Geological Survey of Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Geology; Ground-penetrating radar; Borehole; Terrain; Bed; Geomorphology; Bedding; Rock mass classification; Geologic map; Mining engineering; Geotechnical engineering; Radar; Cartography; Anisotropy","score_opus":0.007870125138719911,"score_gpt":0.23559890640566125,"score_spread":0.22772878126694135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158157976","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966272,0.0001118264,0.0021947073,0.00015461682,0.000008414155,0.000041917225,0.00012923512,0.000040242416,0.0006918101],"genre_scores_gemma":[0.9952427,0.000097699754,0.004067525,0.000036610898,0.000009313835,0.000011348908,0.00009073513,0.000009034101,0.00043494417],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996983,0.00009721227,0.00001767108,0.00004097087,0.000086136635,0.000059809918],"domain_scores_gemma":[0.99916756,0.00031736973,0.00009433197,0.00009375565,0.00022792042,0.000099025034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053238607,0.0004615361,0.00025037766,0.0011819674,0.0010055879,0.0007072493,0.0008952531,0.001177048,0.00064176955],"category_scores_gemma":[0.001082376,0.000160954,0.00030353662,0.0010600958,0.0005665495,0.00033398138,0.0005326442,0.00037380468,0.00017587432],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00074683706,0.001127123,0.5072014,0.00048102552,0.00017352098,0.33296853,0.010803047,0.0155357085,0.026650572,0.00051663234,0.0023437354,0.10145187],"study_design_scores_gemma":[0.000102364094,0.0023430781,0.7622654,0.00020917993,0.000312204,0.11806463,0.029379776,0.05363628,0.023676565,0.00080539053,0.0090543255,0.00015081816],"about_ca_topic_score_codex":0.022397928,"about_ca_topic_score_gemma":0.0393737,"teacher_disagreement_score":0.022397928,"about_ca_system_score_codex":0.00044523686,"about_ca_system_score_gemma":0.00032921106,"threshold_uncertainty_score":0.0445351},"labels":[],"label_agreement":null},{"id":"W2158886025","doi":"10.2110/jsr.2009.044","title":"Using Ground-Penetrating Radar and Capacitively Coupled Resistivity to Investigate 3-D Fluvial Architecture and Grain-Size Distribution of a Gravel Floodplain in Northeast British Columbia, Canada","year":2009,"lang":"en","type":"article","venue":"Journal of Sedimentary Research","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Geological Survey of Canada; University of Lethbridge; Government of British Columbia","funders":"","keywords":"Geology; Fluvial; Floodplain; Ground-penetrating radar; Grain size; Geomorphology; Radar; Hydrology (agriculture); Geotechnical engineering; Geography; Cartography; Structural basin","score_opus":0.02795575349176928,"score_gpt":0.2842233056373324,"score_spread":0.2562675521455631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158886025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973048,0.00004146784,0.00031049637,0.00002908881,0.0000015377547,0.000017324492,0.00081587065,0.0000332267,0.0014462129],"genre_scores_gemma":[0.99792445,0.000036083115,0.00055376405,0.000015043258,7.858168e-7,0.000009622012,0.00060710864,0.000006358998,0.0008468276],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998344,0.000011341557,0.00000701706,0.000042646247,0.00005631802,0.0000481634],"domain_scores_gemma":[0.99963665,0.00004286192,0.000027113048,0.000015572637,0.00021017231,0.000067574314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014234292,0.0003123191,0.00024824453,0.0016976746,0.00119363,0.0010457286,0.00057499466,0.00035477304,0.0010806764],"category_scores_gemma":[0.0005078638,0.00023200829,0.00020231087,0.0020692104,0.00053709076,0.00024234997,0.00039605968,0.00029681556,0.00027509546],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018485035,0.00012643465,0.9283123,0.0000616345,0.0001039561,0.000893194,0.0028390086,0.006627373,0.017508976,0.00021563,0.0012963996,0.041830257],"study_design_scores_gemma":[0.000006426936,0.000010059831,0.9914743,0.000008193964,0.000009880048,0.000044412478,0.0016920617,0.0057623354,0.00037026624,0.000028586985,0.00058150035,0.000012022165],"about_ca_topic_score_codex":0.9677164,"about_ca_topic_score_gemma":0.9887811,"teacher_disagreement_score":0.032283604,"about_ca_system_score_codex":0.0053443154,"about_ca_system_score_gemma":0.0036196124,"threshold_uncertainty_score":0.06494743},"labels":[],"label_agreement":null},{"id":"W2159136914","doi":"10.1190/geo2014-0060.1","title":"Three-dimensional modeling of IP effects in time-domain electromagnetic data","year":2014,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Time domain; Ordinary differential equation; Discretization; Frequency domain; Computer science; Finite-difference time-domain method; Stability (learning theory); Partial differential equation; Domain (mathematical analysis); Differential equation; Algorithm; Applied mathematics; Mathematical analysis; Mathematics; Physics; Optics","score_opus":0.011823247659405794,"score_gpt":0.22998701871292335,"score_spread":0.21816377105351756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159136914","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1922966,0.000095336596,0.7972269,0.0002611808,0.000059199676,0.00006312756,0.00021611986,0.00060274755,0.009178825],"genre_scores_gemma":[0.93793285,0.00013518537,0.057954475,0.00007216785,0.000013534577,0.00006799193,0.00012428456,0.000068096735,0.0036313396],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990416,0.000025094696,0.000004130723,0.000012419505,0.000044747052,0.0000094156185],"domain_scores_gemma":[0.9996749,0.00016048494,0.000036453817,0.00003837065,0.00007705786,0.000012664743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023715543,0.000262997,0.00018457872,0.00023810202,0.00021025063,0.0006024219,0.0006028532,0.00060515647,0.0012528648],"category_scores_gemma":[0.00086494075,0.00016936344,0.00029654516,0.00030734928,0.0004139535,0.00051483366,0.00028752847,0.00046267058,0.00017150924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021807546,0.00002654731,0.0007369238,0.00002882882,0.0000101078585,0.000120916346,0.00009119709,0.973152,0.013079133,0.0074103703,0.00028222176,0.0050398875],"study_design_scores_gemma":[0.000001342317,0.000003531984,0.000094734896,0.0000012926996,0.0000011342868,0.000009411719,0.0000062726604,0.99828786,0.0009895342,0.00036341912,0.0002397448,0.000001739297],"about_ca_topic_score_codex":0.0032604374,"about_ca_topic_score_gemma":0.0020763397,"teacher_disagreement_score":0.0032604374,"about_ca_system_score_codex":0.00043533917,"about_ca_system_score_gemma":0.00041080525,"threshold_uncertainty_score":0.006482899},"labels":[],"label_agreement":null},{"id":"W2159666002","doi":"10.1109/ccst.2000.891161","title":"Intelli-FIELD/sup TM/ the next generation, electrostatic field disturbance sensor","year":2002,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Senstar (Canada)","funders":"","keywords":"Field (mathematics); Computer science; Exploit; Noise (video); ALARM; Real-time computing; Artificial intelligence; Engineering; Computer security; Electrical engineering","score_opus":0.04296409103599226,"score_gpt":0.2502064815561469,"score_spread":0.20724239052015464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159666002","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45697033,0.0020754416,0.44972038,0.000837953,0.00044211146,0.00034255956,0.0014579901,0.0066055404,0.0815477],"genre_scores_gemma":[0.6796041,0.0009295191,0.26989183,0.0004253496,0.00009607552,0.00010178225,0.0015144027,0.00017048622,0.047266375],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997763,0.000018816774,0.000011024056,0.00004567323,0.00012983539,0.000018479717],"domain_scores_gemma":[0.99973077,0.00004888313,0.000053304015,0.000036000496,0.00010209955,0.000028878696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022285854,0.00028738214,0.00023357572,0.0003054718,0.00018123433,0.00034282988,0.0004892915,0.00033103363,0.0042117904],"category_scores_gemma":[0.00040275021,0.00014338436,0.00009918715,0.0002464945,0.00030003427,0.0008157845,0.00021427475,0.00034034107,0.0010721863],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004537355,0.00016196251,0.0048213718,0.00016860642,0.000013304092,0.00016400957,0.00011539637,0.0020335382,0.6664906,0.0038518629,0.012420441,0.30930516],"study_design_scores_gemma":[0.000105196574,0.0030731673,0.023862038,0.00003553431,0.00006978126,0.003927051,0.00011980555,0.03935653,0.7934327,0.0011606874,0.13478579,0.00007170965],"about_ca_topic_score_codex":0.00038940206,"about_ca_topic_score_gemma":0.0005887033,"teacher_disagreement_score":0.0042117904,"about_ca_system_score_codex":0.00030069146,"about_ca_system_score_gemma":0.00021107194,"threshold_uncertainty_score":0.014089823},"labels":[],"label_agreement":null},{"id":"W2159711763","doi":"10.1109/aps.2010.5561664","title":"An efficient algorithm for solving inverse source problems using time domain TLM","year":2010,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Regularization (linguistics); Inverse problem; Algorithm; Inverse; Computer science; Time domain; Domain (mathematical analysis); Boundary (topology); Multi-source; Source model; Field (mathematics); Mathematics; Theoretical computer science; Artificial intelligence; Mathematical analysis; Geometry","score_opus":0.011792996946722709,"score_gpt":0.2530862085952877,"score_spread":0.241293211648565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159711763","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00037397782,0.000018911162,0.9991335,0.000020874599,0.000010795621,0.000012116932,0.000007862503,0.00016258712,0.0002593416],"genre_scores_gemma":[0.008365021,0.000045077122,0.99071807,0.00002029558,0.00001117152,0.00010811614,0.00004087631,0.000059663347,0.0006317552],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996433,0.00006431398,0.000023184959,0.000039302126,0.00020898787,0.000020803289],"domain_scores_gemma":[0.99944574,0.00024275215,0.000046395806,0.00007855016,0.00016445057,0.000022196804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069770124,0.0007612014,0.00067303627,0.0007551062,0.0005429252,0.00065681525,0.0011688059,0.0014701841,0.004019606],"category_scores_gemma":[0.0018877849,0.0004186378,0.0006276829,0.00090365985,0.00053307234,0.0010624086,0.0012549817,0.0013644075,0.0016586998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011166923,0.00011725592,0.00045293677,0.0003224936,0.000073522155,0.00022147442,0.0002196637,0.38268948,0.070386,0.05921412,0.005826785,0.48036456],"study_design_scores_gemma":[0.00002834002,0.00002844568,0.000083179424,0.000013194023,0.00000817379,0.0001215695,0.000014606555,0.9792077,0.006105983,0.0072188503,0.0071522426,0.00001777032],"about_ca_topic_score_codex":0.0011945007,"about_ca_topic_score_gemma":0.0016856543,"teacher_disagreement_score":0.004019606,"about_ca_system_score_codex":0.0004178219,"about_ca_system_score_gemma":0.0011602361,"threshold_uncertainty_score":0.013446987},"labels":[],"label_agreement":null},{"id":"W2160813043","doi":"10.1190/geo2012-0236.1","title":"Practical strategies for classification of unexploded ordnance","year":2012,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Unexploded ordnance; Clutter; Computer science; Inversion (geology); Data mining; Data quality; Data set; Set (abstract data type); Field (mathematics); Artificial intelligence; Pattern recognition (psychology); Remote sensing; Machine learning; Radar; Geology; Engineering; Mathematics; Metric (unit)","score_opus":0.08357971319705568,"score_gpt":0.347618437111003,"score_spread":0.26403872391394734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160813043","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2917712,0.00019904877,0.70540166,0.00018700596,0.000020239293,0.00008144147,0.00010683035,0.00064635946,0.00158621],"genre_scores_gemma":[0.7044207,0.00007583732,0.29411587,0.00005326091,0.00001778006,0.000048755825,0.00025694637,0.000048511636,0.00096222013],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99946684,0.000121525794,0.00003431449,0.00016641033,0.00014417541,0.00006677429],"domain_scores_gemma":[0.9987208,0.0005132124,0.00012066186,0.00017715826,0.00041110002,0.000057071582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010961065,0.0005926693,0.0005619914,0.0010831279,0.00037487992,0.0008500055,0.0007328256,0.0004145172,0.0009000915],"category_scores_gemma":[0.00356012,0.00019129027,0.00020203405,0.000743778,0.00052546436,0.0005792152,0.00071421143,0.0004515475,0.00036269345],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039083778,0.0001760359,0.0125290975,0.00009814521,0.000039527986,0.00014541154,0.0003547345,0.10517436,0.092492685,0.0035334637,0.0009881088,0.7840775],"study_design_scores_gemma":[0.000031147,0.0001741706,0.00853329,0.000016244914,0.000021397651,0.00016035236,0.0002723067,0.9304527,0.052878436,0.0050873705,0.0023400385,0.000032564356],"about_ca_topic_score_codex":0.0018936051,"about_ca_topic_score_gemma":0.0028159958,"teacher_disagreement_score":0.0018936051,"about_ca_system_score_codex":0.00032168423,"about_ca_system_score_gemma":0.0005117957,"threshold_uncertainty_score":0.00579679},"labels":[],"label_agreement":null},{"id":"W2161061572","doi":"10.1080/17415977.2014.995184","title":"Robust inversion for material parameters identification from correlated outlying observations","year":2015,"lang":"en","type":"article","venue":"Inverse Problems in Science and Engineering","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Université de Moncton","keywords":"Outlier; Robustness (evolution); Inversion (geology); Geodetic datum; Algorithm; Leverage (statistics); Computer science; Mathematics; Mathematical optimization; Applied mathematics; Statistics; Geology; Geodesy","score_opus":0.10543011324960523,"score_gpt":0.2523224480228826,"score_spread":0.1468923347732774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161061572","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0065091685,0.000055546934,0.99311686,0.000016891494,0.000008208871,0.000006993271,0.000020118056,0.00011083635,0.00015541798],"genre_scores_gemma":[0.40346518,0.0003149869,0.59382236,0.000074231175,0.000060280727,0.00009679364,0.00036751287,0.0001741583,0.0016245038],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991424,0.00021385257,0.000038595008,0.00021581903,0.00032825067,0.000061014856],"domain_scores_gemma":[0.99906915,0.00041061363,0.00021731021,0.00014455219,0.00014051425,0.000017814873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010041298,0.0009084892,0.000754808,0.0007312002,0.0002717351,0.00062881847,0.0009099858,0.0007236673,0.0006452122],"category_scores_gemma":[0.0038042122,0.00047043365,0.00075291714,0.00066527136,0.0007854597,0.0010547156,0.0011342198,0.0010974434,0.0002949754],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025085322,0.00006775201,0.0024089157,0.00030447365,0.00020090213,0.00028240104,0.00022505947,0.6415575,0.07751176,0.025527922,0.001040733,0.25062165],"study_design_scores_gemma":[0.000009798584,0.00003201915,0.00072216167,0.0000089537625,0.000016581895,0.000068640955,0.000018536655,0.9813592,0.01218516,0.004430479,0.0011245818,0.00002396151],"about_ca_topic_score_codex":0.0014920244,"about_ca_topic_score_gemma":0.0019283647,"teacher_disagreement_score":0.0014920244,"about_ca_system_score_codex":0.0002990476,"about_ca_system_score_gemma":0.0010621237,"threshold_uncertainty_score":0.005310416},"labels":[],"label_agreement":null},{"id":"W2161754084","doi":"10.1177/0309133313501106","title":"A review of ground-penetrating radar studies related to peatland stratigraphy with a case study on the determination of peat thickness in a northern boreal fen in Quebec, Canada","year":2013,"lang":"en","type":"review","venue":"Progress in Physical Geography Earth and Environment","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Institut National de la Recherche Scientifique","funders":"","keywords":"Ground-penetrating radar; Peat; Geology; Context (archaeology); Attenuation; Stratigraphy; Radar; Lithology; Geomorphology; Hydrology (agriculture); Soil science; Remote sensing; Geotechnical engineering; Seismology; Geochemistry; Paleontology; Geography; Archaeology","score_opus":0.01991328198775979,"score_gpt":0.2809894218914727,"score_spread":0.2610761399037129,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161754084","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010224708,0.9836337,0.00095470005,0.00050403445,0.00021241987,0.000023761972,0.0004108756,0.000026396487,0.004009376],"genre_scores_gemma":[0.028157027,0.96823287,0.0011027241,0.0003075532,0.00013795657,0.000009871311,0.00038512846,0.000011291834,0.0016555056],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99943787,0.000056698053,0.00009608574,0.00011961885,0.00022048345,0.00006919602],"domain_scores_gemma":[0.99727255,0.0006817778,0.00026588907,0.000045090812,0.0015917921,0.00014288373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010120657,0.0008058889,0.0007788838,0.008366065,0.00066159747,0.0014489893,0.0011545726,0.00061269593,0.001743304],"category_scores_gemma":[0.0019270502,0.00033395083,0.00045980836,0.015150118,0.0009978091,0.0006909723,0.00035377624,0.00036209368,0.0003234334],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010614107,0.00006818679,0.030162934,0.023586763,0.0002156102,0.0017094219,0.0014452093,0.0019633358,0.003489852,0.0009667177,0.01702949,0.9192564],"study_design_scores_gemma":[0.000008877183,0.00022824337,0.344172,0.022610432,0.00059396366,0.004132615,0.0038775683,0.0006852854,0.0015696171,0.00034813766,0.6216592,0.00011402526],"about_ca_topic_score_codex":0.6402803,"about_ca_topic_score_gemma":0.7864164,"teacher_disagreement_score":0.3597197,"about_ca_system_score_codex":0.006598277,"about_ca_system_score_gemma":0.010068644,"threshold_uncertainty_score":0.7236763},"labels":[],"label_agreement":null},{"id":"W2161910135","doi":"10.1046/j.1365-3091.2002.00453.x","title":"Electrical resistivity ground imaging (ERGI): a new tool for mapping the lithology and geometry of channel‐belts and valley‐fills","year":2002,"lang":"en","type":"article","venue":"Sedimentology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":113,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Geology; Lithology; Borehole; Ground-penetrating radar; Silt; Fluvial; Electrical resistivity tomography; Channel (broadcasting); Geomorphology; Geophysics; Petrology; Geotechnical engineering; Electrical resistivity and conductivity; Radar; Structural basin","score_opus":0.025757226430364957,"score_gpt":0.2510362539729558,"score_spread":0.22527902754259085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161910135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74080056,0.0011403561,0.24971218,0.00026612438,0.00003828191,0.000060160288,0.00064839685,0.0019258069,0.0054081273],"genre_scores_gemma":[0.9023569,0.00031009037,0.09624386,0.0000318322,0.000021405276,0.000024089375,0.000211575,0.000034180357,0.00076595246],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999818,0.000047912894,0.000008249393,0.000032114964,0.00007097333,0.00002282913],"domain_scores_gemma":[0.99976045,0.00006143271,0.00006957547,0.00003540608,0.00005526368,0.000017812179],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024242392,0.0002831206,0.00014839775,0.0010054044,0.000073472904,0.00037082328,0.0002123803,0.00025580564,0.0005109736],"category_scores_gemma":[0.000361451,0.00015136648,0.000089246976,0.00052365736,0.00034017145,0.0006132521,0.00034344176,0.00019177549,0.00009839564],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002435828,0.000077359204,0.081311405,0.00017773104,0.000064564316,0.00062603405,0.00043845785,0.0075112013,0.46037525,0.0013482617,0.0017786797,0.4460474],"study_design_scores_gemma":[0.00009948746,0.0010494976,0.57615685,0.00018281782,0.00015484547,0.007410123,0.00093991344,0.12521116,0.25266844,0.0018785966,0.03408471,0.00016347942],"about_ca_topic_score_codex":0.00052384386,"about_ca_topic_score_gemma":0.0013498996,"teacher_disagreement_score":0.0010054044,"about_ca_system_score_codex":0.000114664734,"about_ca_system_score_gemma":0.000093329,"threshold_uncertainty_score":0.001709342},"labels":[],"label_agreement":null},{"id":"W2162072468","doi":"10.1109/icgpr.2010.5550181","title":"Simulation of porosity field using wavelet bayesian inversion of crosswell GPR and log data","year":2010,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Institut National de la Recherche Scientifique","funders":"","keywords":"Porosity; Wavelet; Geology; Tomography; Algorithm; Mineralogy; Mathematics; Computer science; Artificial intelligence; Geotechnical engineering; Optics; Physics","score_opus":0.03614856836910104,"score_gpt":0.3100848104457411,"score_spread":0.2739362420766401,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162072468","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34376064,0.000048567326,0.653277,0.00013104077,0.00002203402,0.000051415744,0.00021874116,0.0006296979,0.0018609177],"genre_scores_gemma":[0.92848885,0.000049092254,0.070539095,0.00002766041,0.000006838608,0.000050224575,0.00021525922,0.00005886313,0.0005640396],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999814,0.000054566066,0.0000120442,0.000029950335,0.000060503015,0.00002898814],"domain_scores_gemma":[0.99916697,0.00050236756,0.00010999475,0.00007406888,0.00011301653,0.000033639026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008526593,0.00031720742,0.0003078229,0.00058591034,0.00016863651,0.000508486,0.00068699557,0.00074331387,0.0008779588],"category_scores_gemma":[0.0030823962,0.0003947071,0.00042616157,0.00038291654,0.00045711413,0.00077214005,0.000599743,0.00048334524,0.00011152551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038109218,0.00002964362,0.0013558631,0.000009839159,0.000009335921,0.000038591952,0.000019168603,0.99115515,0.00137941,0.0018128266,0.000052375897,0.004099758],"study_design_scores_gemma":[0.0000029149057,0.0000034715,0.00011572567,5.7245046e-7,7.782913e-7,0.000004948892,0.0000022377806,0.9993166,0.00028372984,0.00024047549,0.000027070499,0.0000015367243],"about_ca_topic_score_codex":0.005860972,"about_ca_topic_score_gemma":0.003698705,"teacher_disagreement_score":0.005860972,"about_ca_system_score_codex":0.0004621498,"about_ca_system_score_gemma":0.0006829323,"threshold_uncertainty_score":0.011653721},"labels":[],"label_agreement":null},{"id":"W2163037540","doi":"","title":"Multiple frequency compositing of spatially coincident GPR data sets","year":2004,"lang":"en","type":"article","venue":"International Conference on Grounds Penetrating Radar","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Compositing; Weighting; Computer science; Bandwidth (computing); Wavelet; Ground-penetrating radar; Radar; Acoustics; Telecommunications; Physics; Artificial intelligence; Image (mathematics)","score_opus":0.07165895855119377,"score_gpt":0.3234591777746751,"score_spread":0.25180021922348134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163037540","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67986614,0.00017215702,0.31356317,0.00007426317,0.00011440666,0.0001670606,0.0005203557,0.001374355,0.004148111],"genre_scores_gemma":[0.7556959,0.00019312001,0.24030463,0.000034816996,0.00008402303,0.00011535134,0.0013866008,0.00032476956,0.0018606981],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931335,0.00010900423,0.000048056976,0.00012606243,0.00032011035,0.000083465806],"domain_scores_gemma":[0.99847037,0.0004875987,0.00012830555,0.00036368548,0.0004913217,0.000058686568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007724193,0.0008039579,0.00065062457,0.0022916803,0.00032918784,0.00068856374,0.00027854464,0.00040465448,0.0016763549],"category_scores_gemma":[0.0026557117,0.0003013745,0.00068084174,0.0021565177,0.00028111087,0.00068780064,0.00058814784,0.00046542843,0.0005056927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013840927,0.0003056597,0.008190556,0.00028960424,0.00016471022,0.0008641819,0.00056225026,0.04136126,0.5855521,0.0013821631,0.0009842762,0.35895908],"study_design_scores_gemma":[0.000040691637,0.000642647,0.087336525,0.00003729327,0.00030634672,0.001708342,0.00072025164,0.35660392,0.54233825,0.002252387,0.007859925,0.0001534515],"about_ca_topic_score_codex":0.0010583199,"about_ca_topic_score_gemma":0.0019610594,"teacher_disagreement_score":0.0022916803,"about_ca_system_score_codex":0.00019211133,"about_ca_system_score_gemma":0.00031582598,"threshold_uncertainty_score":0.0056079626},"labels":[],"label_agreement":null},{"id":"W2165574864","doi":"10.1139/t04-046","title":"A digital face mapping case study in an underground hard rock mine","year":2004,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Discontinuity (linguistics); Rock mass classification; Geology; TRACE (psycholinguistics); Face (sociological concept); Computer science; Software; Mining engineering; Process (computing); Artificial intelligence; Geotechnical engineering","score_opus":0.03231386143082037,"score_gpt":0.26713658944579666,"score_spread":0.23482272801497628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165574864","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96633923,0.00005520872,0.02708534,0.00029863432,0.000013725614,0.000176811,0.00020108452,0.00009295815,0.005737099],"genre_scores_gemma":[0.96233624,0.00004923895,0.034458645,0.000029371431,0.0000059140666,0.000057674315,0.000101123835,0.000018478842,0.002943256],"study_design_codex":"design_other","study_design_gemma":"case_report","domain_scores_codex":[0.9993449,0.00022366003,0.000031036856,0.00010049328,0.0002311957,0.00006863046],"domain_scores_gemma":[0.9985018,0.0010003188,0.00008294654,0.00016209691,0.0001612237,0.000091674156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074255955,0.0003785643,0.000283075,0.0010908216,0.0015841548,0.0006950705,0.0010349498,0.0018591444,0.0027156828],"category_scores_gemma":[0.002556203,0.00020339867,0.00032452928,0.0009268903,0.00081588246,0.0007803351,0.0008745277,0.00054146786,0.0002758111],"study_design_candidate":"case_report","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017224335,0.0027787709,0.12965113,0.0012062168,0.00017668906,0.09407245,0.028759468,0.22844352,0.05490405,0.016548073,0.00794783,0.43378943],"study_design_scores_gemma":[0.0003309205,0.0029132143,0.12858047,0.00024997944,0.00021825836,0.03070111,0.048453346,0.5877147,0.12383698,0.014978062,0.06177398,0.00024907137],"about_ca_topic_score_codex":0.008290195,"about_ca_topic_score_gemma":0.020430205,"teacher_disagreement_score":0.008290195,"about_ca_system_score_codex":0.00078512594,"about_ca_system_score_gemma":0.00044693908,"threshold_uncertainty_score":0.016483903},"labels":[],"label_agreement":null},{"id":"W2165730761","doi":"","title":"Stepped frequency GPR field trials in potash mines","year":2004,"lang":"en","type":"article","venue":"International Conference on Grounds Penetrating Radar","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"PotashCorp (Canada)","funders":"","keywords":"Potash; Ground-penetrating radar; Mining engineering; Radar; Depth sounding; Geology; Field trial; Field (mathematics); Hydrogeology; Remote sensing; Geotechnical engineering; Engineering; Potassium; Metallurgy; Telecommunications; Materials science","score_opus":0.07641646495193194,"score_gpt":0.3467588557873993,"score_spread":0.27034239083546735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165730761","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999298,0.000013364426,0.00040376707,0.0000103831235,0.0000027015644,0.000041422245,0.00007015492,0.000008691357,0.00015154373],"genre_scores_gemma":[0.99565244,0.00006090759,0.0029282607,0.000035106284,0.0000033429476,0.00007421128,0.00032013067,0.000004605671,0.00092108647],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9994955,0.00013976893,0.00003875828,0.00012658273,0.000112737805,0.000086718814],"domain_scores_gemma":[0.9986325,0.00048481626,0.0001186516,0.0001531675,0.00048245155,0.00012836102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009655907,0.0004596096,0.0005742088,0.0005317701,0.0005274819,0.00023735111,0.0005066864,0.0007349793,0.0004959525],"category_scores_gemma":[0.0012343692,0.00027770537,0.00029980665,0.0005139521,0.0005654201,0.00041569263,0.000454262,0.00043746657,0.00018207158],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010029823,0.0061334525,0.086697966,0.0006213965,0.00019431426,0.004981195,0.0058230436,0.014305839,0.8137871,0.00034348914,0.00090935355,0.05617299],"study_design_scores_gemma":[0.0015456512,0.090216905,0.54914844,0.00008667547,0.0003016775,0.0037131591,0.008971592,0.0153401345,0.3261223,0.00039096604,0.0039874334,0.00017506542],"about_ca_topic_score_codex":0.004815446,"about_ca_topic_score_gemma":0.012998828,"teacher_disagreement_score":0.004815446,"about_ca_system_score_codex":0.0003452782,"about_ca_system_score_gemma":0.0002709112,"threshold_uncertainty_score":0.0095748305},"labels":[],"label_agreement":null},{"id":"W2166504427","doi":"10.1109/aps.2010.5561234","title":"Wavelet electromagnetic field processing: Multidimensional fast wavelet transform decomposition of time and frequency domain electromagnetic fields","year":2010,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Wavelet transform; Wavelet; Electromagnetic field; Second-generation wavelet transform; Harmonic wavelet transform; Computational electromagnetics; Electromagnetic radiation; Electromagnetics; Stationary wavelet transform; Discrete wavelet transform; Frequency domain; Time domain; Fast wavelet transform; Physics; Computer science; Mathematical analysis; Mathematics; Optics; Artificial intelligence; Computer vision","score_opus":0.003128260677021587,"score_gpt":0.22347591845873957,"score_spread":0.22034765778171797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166504427","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002781239,0.0001823448,0.99588615,0.000074212,0.00006702008,0.00002260536,0.000051702853,0.00013187935,0.0008028613],"genre_scores_gemma":[0.07999986,0.0018123469,0.9132103,0.00012752006,0.000273347,0.0001387966,0.0004302128,0.00016430445,0.003843288],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99956304,0.00008763122,0.00003378143,0.00007067348,0.0002118653,0.00003292162],"domain_scores_gemma":[0.99953055,0.00015022139,0.000063578016,0.000091330236,0.00014772819,0.000016564736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009352286,0.00061307324,0.00048740325,0.0009852435,0.00025734407,0.0011076845,0.00066741876,0.0007464578,0.0019096388],"category_scores_gemma":[0.0024688295,0.00022896094,0.00064724835,0.0014475997,0.00042020474,0.0014997785,0.00059227145,0.0009022425,0.0010267153],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013809247,0.000094409,0.0007746312,0.0005161133,0.000070359085,0.00035249325,0.00022448014,0.061977796,0.09109474,0.126472,0.006795128,0.7114897],"study_design_scores_gemma":[0.000030613923,0.00013511104,0.0017356436,0.00007109992,0.000042078973,0.00059928664,0.00009545594,0.8766702,0.04073675,0.04535311,0.034478877,0.000051817784],"about_ca_topic_score_codex":0.00039403283,"about_ca_topic_score_gemma":0.0002921829,"teacher_disagreement_score":0.0019096388,"about_ca_system_score_codex":0.00019993549,"about_ca_system_score_gemma":0.00048061184,"threshold_uncertainty_score":0.006388366},"labels":[],"label_agreement":null},{"id":"W2167208765","doi":"10.1109/isspit.2006.270772","title":"Robust Detection Algorithms for Time Reversal Matched Field Processing","year":2006,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Multipath propagation; Algorithm; Computer science; Matrix (chemical analysis); Field (mathematics); Signal processing; Matrix algebra; Resolution (logic); Mathematics; Artificial intelligence; Physics; Telecommunications","score_opus":0.01717515147193832,"score_gpt":0.24288270476149496,"score_spread":0.22570755328955663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167208765","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013845939,0.0000910245,0.9979674,0.00004334391,0.00001661961,0.000010597578,0.000019612926,0.0001851464,0.00028158235],"genre_scores_gemma":[0.0670305,0.00025663074,0.9300936,0.00010100893,0.000092006616,0.00012728652,0.00018335939,0.00010082694,0.0020148202],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906474,0.00020356305,0.00005605217,0.00021852939,0.00037060466,0.00008641146],"domain_scores_gemma":[0.99856013,0.00069979386,0.00017258144,0.00021513326,0.0003215672,0.000030821633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015539838,0.001054587,0.0007360412,0.0010564583,0.00035549945,0.0011011804,0.0013916137,0.0014609158,0.002958246],"category_scores_gemma":[0.0068391254,0.00055111066,0.00049386075,0.001009333,0.00066990254,0.002180097,0.0013604196,0.0016416353,0.0018120533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030862828,0.00007680142,0.00034138115,0.00012781628,0.00006492796,0.000085069485,0.000101638,0.20744194,0.03160527,0.10127411,0.004028715,0.6545437],"study_design_scores_gemma":[0.000030546285,0.0000655955,0.0001777268,0.000015580046,0.0000120367085,0.00010225398,0.000015097098,0.9437768,0.011204087,0.041054476,0.0035216177,0.000024204694],"about_ca_topic_score_codex":0.00093204173,"about_ca_topic_score_gemma":0.0007341946,"teacher_disagreement_score":0.002958246,"about_ca_system_score_codex":0.00054814003,"about_ca_system_score_gemma":0.00075118936,"threshold_uncertainty_score":0.009896278},"labels":[],"label_agreement":null},{"id":"W2167267675","doi":"10.1109/milcom.2008.4753248","title":"Time reversal: Algorithms for M-ARY target classification using array signal processing","year":2008,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Classifier (UML); Algorithm; Computer science; Transducer; Element (criminal law); Signal processing; Underwater; SIGNAL (programming language); Underwater acoustic communication; Maximum likelihood; Noise (video); Sonar signal processing; Speech recognition; Detection theory; Acoustics; Artificial intelligence; Mathematics; Telecommunications; Physics; Statistics","score_opus":0.06512587740214211,"score_gpt":0.29377097136726166,"score_spread":0.22864509396511956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167267675","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0047334386,0.00018143584,0.99403495,0.00007401777,0.000043437176,0.000024585745,0.000029785486,0.000355183,0.0005232336],"genre_scores_gemma":[0.11012615,0.00044050434,0.8840211,0.00020894036,0.00024149919,0.00018810632,0.00035566618,0.00014276976,0.00427526],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992372,0.00019479959,0.00006424936,0.00014572043,0.00030124254,0.000056802146],"domain_scores_gemma":[0.9988078,0.00048343025,0.00017898183,0.00016652739,0.00032359146,0.000039643903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016257857,0.00082488055,0.0006088742,0.00084171986,0.0002995538,0.00094671076,0.0014512609,0.0013423279,0.0026279083],"category_scores_gemma":[0.004928531,0.0002951076,0.0004994053,0.00082552736,0.00063287746,0.001903011,0.00089172984,0.0014390354,0.0029888847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023743915,0.0000966465,0.0007694144,0.00011883823,0.000046441335,0.000061776416,0.00006574685,0.048835237,0.020116614,0.015205145,0.0037947027,0.910652],"study_design_scores_gemma":[0.000042602278,0.00018451097,0.00079683843,0.00002220021,0.000020513851,0.00026135638,0.00003388707,0.9548053,0.022383446,0.014232947,0.0071820114,0.00003451933],"about_ca_topic_score_codex":0.0004934458,"about_ca_topic_score_gemma":0.00056245015,"teacher_disagreement_score":0.0026279083,"about_ca_system_score_codex":0.00026777855,"about_ca_system_score_gemma":0.0005264435,"threshold_uncertainty_score":0.008791208},"labels":[],"label_agreement":null},{"id":"W2167478232","doi":"10.1109/ccece.1995.526568","title":"On some intrinsic properties of the Radon transform of an SRF with application to 2-D spectrum estimation","year":2002,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Autocorrelation; Spectral density; Spectrum (functional analysis); Representation (politics); Function (biology); Expression (computer science); Mathematics; Radon; Statistics; Statistical physics; Algorithm; Physics; Computer science; Quantum mechanics","score_opus":0.010433089177527567,"score_gpt":0.2034427655088962,"score_spread":0.19300967633136865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167478232","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0074909115,0.0030420313,0.9825869,0.00072405505,0.00016813066,0.000019348721,0.0000514176,0.00006509346,0.0058520264],"genre_scores_gemma":[0.4035753,0.027812356,0.5479243,0.0010694712,0.0035739078,0.00031101194,0.00043717853,0.0004124213,0.014884097],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99939907,0.00022825233,0.000049991177,0.00012527048,0.00015772191,0.00003958805],"domain_scores_gemma":[0.9955065,0.0034234389,0.00028060848,0.0003007201,0.00042498615,0.00006370608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030347824,0.0008048613,0.0006547169,0.0013097654,0.0004796121,0.0017136894,0.00071328436,0.0014809254,0.0022922645],"category_scores_gemma":[0.013176043,0.00038748074,0.00085240055,0.0015479744,0.002749215,0.0036527521,0.0013270032,0.0023753345,0.0009917208],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032208583,0.000025966257,0.0007837543,0.0002721237,0.000019893572,0.00088825094,0.00053178414,0.060541343,0.009910276,0.85489637,0.002326835,0.06977114],"study_design_scores_gemma":[0.000005375118,0.00014080835,0.001920756,0.00015401999,0.000021844884,0.0016729995,0.00019706068,0.33670357,0.0058961315,0.6311668,0.02201904,0.000101668455],"about_ca_topic_score_codex":0.0010835242,"about_ca_topic_score_gemma":0.0008379694,"teacher_disagreement_score":0.0030347824,"about_ca_system_score_codex":0.00045495905,"about_ca_system_score_gemma":0.00037301428,"threshold_uncertainty_score":0.016049683},"labels":[],"label_agreement":null},{"id":"W2168443425","doi":"10.1115/ipc2002-27321","title":"Satellite-Based Monitoring of Subsidence Ground Movement Impacting Pipeline Integrity","year":2002,"lang":"en","type":"article","venue":"4th International Pipeline Conference, Parts A and B","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre For Cold Ocean Resources Engineering","funders":"Southern California Gas Company","keywords":"Synthetic aperture radar; Satellite; Pipeline transport; Interferometric synthetic aperture radar; San Joaquin; Pipeline (software); Remote sensing; Ground subsidence; Global Positioning System; Subsidence; Geology; Ground movement; Mining engineering; Environmental science; Engineering; Geotechnical engineering; Telecommunications; Geomorphology","score_opus":0.0672062175731244,"score_gpt":0.3003070149901637,"score_spread":0.23310079741703932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168443425","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975768,0.000041578678,0.0012172753,0.000014112677,0.0000012524984,0.0000045760385,0.00018218688,0.00003703611,0.00092514197],"genre_scores_gemma":[0.996801,0.00006516334,0.0023872103,0.000004977444,0.0000027356043,0.000003398131,0.0004018257,0.0000031370619,0.00033062545],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999099,0.000016533642,0.0000035559342,0.000018502855,0.000040624705,0.000010850424],"domain_scores_gemma":[0.99978703,0.000030916,0.00007443956,0.000018407114,0.00007232014,0.000016794218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011994063,0.000097013864,0.00009740895,0.00056888815,0.00009420849,0.00015293945,0.000097530436,0.00012209715,0.00033382096],"category_scores_gemma":[0.00035962244,0.00006405402,0.000049595637,0.00067311287,0.00011705723,0.00016332681,0.000128773,0.00008422174,0.000078020435],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041337323,0.0001647018,0.68090457,0.00011428642,0.000072021,0.0002680901,0.00069836277,0.026018584,0.15593797,0.00034252412,0.0012537641,0.13381183],"study_design_scores_gemma":[0.00002901482,0.00040921805,0.9270817,0.000014343105,0.00004686688,0.0002746294,0.00033694215,0.046837095,0.023087112,0.00013273208,0.0017358047,0.000014543891],"about_ca_topic_score_codex":0.008224989,"about_ca_topic_score_gemma":0.02118999,"teacher_disagreement_score":0.008224989,"about_ca_system_score_codex":0.000219625,"about_ca_system_score_gemma":0.00016412942,"threshold_uncertainty_score":0.016354263},"labels":[],"label_agreement":null},{"id":"W2168943565","doi":"10.1139/t09-018","title":"Time-domain reflectometry — parametric study for the evaluation of physical properties in soils","year":2009,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Reflectometry; Permittivity; Materials science; Dielectric; Saturation (graph theory); Time domain; Geotechnical engineering; Conductivity; Soil water; Porosity; Relative permittivity; Electrical impedance; Permeability (electromagnetism); Dielectric permittivity; Optics; Composite material; Geology; Soil science; Physics; Optoelectronics; Engineering; Electrical engineering; Mathematics; Chemistry","score_opus":0.053901391835452596,"score_gpt":0.3280364565297245,"score_spread":0.2741350646942719,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168943565","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46584013,0.00055621204,0.52869004,0.00013738882,0.00003080714,0.00008381,0.00018813332,0.00045366795,0.0040197507],"genre_scores_gemma":[0.926507,0.00034103706,0.07213816,0.00001587246,0.000011342994,0.00006879891,0.00006956588,0.000037036334,0.0008110959],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994286,0.00018730438,0.000022422711,0.00009358251,0.00022987848,0.000038340713],"domain_scores_gemma":[0.99771273,0.001387464,0.00024486036,0.0004187739,0.00020506688,0.000031096824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010007237,0.00035514883,0.00029030666,0.00048084417,0.00017318594,0.00048453073,0.00054015213,0.00048470052,0.0009771503],"category_scores_gemma":[0.0032825214,0.00024042616,0.00029866578,0.0006959437,0.0004257975,0.00089257007,0.00041197985,0.000411123,0.00024070597],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005188104,0.00033436916,0.009741961,0.00034876258,0.00006295836,0.00049148145,0.0006526751,0.08460836,0.66313004,0.00781358,0.000654733,0.23164235],"study_design_scores_gemma":[0.000045045177,0.0010741495,0.014716897,0.00004699004,0.000058447487,0.0013637679,0.00035917308,0.5874759,0.38263193,0.004010922,0.008096623,0.00012017719],"about_ca_topic_score_codex":0.00039120513,"about_ca_topic_score_gemma":0.00032486825,"teacher_disagreement_score":0.0010007237,"about_ca_system_score_codex":0.00017714078,"about_ca_system_score_gemma":0.00024055272,"threshold_uncertainty_score":0.005292356},"labels":[],"label_agreement":null},{"id":"W2169632443","doi":"10.1186/bf03351647","title":"Analogue model study of EM induction in elongated conductors—2D and 3D induction arrow responses","year":2014,"lang":"en","type":"article","venue":"Earth Planets and Space","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Overburden; Conductor; Electrical conductor; Amplitude; Period (music); Resistive touchscreen; Electromagnetic induction; Materials science; Geology; Mechanics; Optics; Physics; Composite material; Geotechnical engineering; Electromagnetic coil; Electrical engineering; Acoustics; Engineering","score_opus":0.024417352209737547,"score_gpt":0.24915015782449115,"score_spread":0.22473280561475362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169632443","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9594768,0.000044904707,0.03712272,0.000047674203,0.00001248327,0.000016701244,0.0000670284,0.00017037787,0.0030412937],"genre_scores_gemma":[0.99756575,0.000018872846,0.002028652,0.0000052123887,0.0000024265833,0.0000054981233,0.000022420825,0.000005738858,0.00034547568],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999198,0.000020699745,0.0000028742572,0.000021920408,0.000022596145,0.000012119139],"domain_scores_gemma":[0.9996599,0.00016381031,0.000044401364,0.000067368426,0.000042519947,0.000021908401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014437312,0.00019539782,0.00017620198,0.00018282956,0.000064194355,0.00028587613,0.00031083947,0.0002837781,0.0017081301],"category_scores_gemma":[0.00071861746,0.00010035431,0.00016766058,0.00018374006,0.00033345039,0.00030705144,0.00023956051,0.00024705968,0.00012769719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00079491816,0.00019288732,0.007579858,0.00016301386,0.000042991684,0.0008104875,0.0004712268,0.4266041,0.5420859,0.004594298,0.000486206,0.016174205],"study_design_scores_gemma":[0.000039054805,0.0003193492,0.0068251677,0.0000051201105,0.000012490059,0.00020474459,0.00011499619,0.9537859,0.03704197,0.0010144125,0.0006157184,0.000021127176],"about_ca_topic_score_codex":0.00042592417,"about_ca_topic_score_gemma":0.00031080452,"teacher_disagreement_score":0.0017081301,"about_ca_system_score_codex":0.00020534574,"about_ca_system_score_gemma":0.00008368567,"threshold_uncertainty_score":0.0057142377},"labels":[],"label_agreement":null},{"id":"W2170340412","doi":"","title":"Study of holocene landslide deposits by comparison of GPR, refraction seismic and electrical resistivity data","year":2004,"lang":"en","type":"article","venue":"International Conference on Grounds Penetrating Radar","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Landslide; Geology; Ground-penetrating radar; Seismic refraction; Holocene; Seismology; Refraction; Electrical resistivity and conductivity; Geomorphology; Electrical resistivity tomography; Radar; Paleontology","score_opus":0.07092235778863606,"score_gpt":0.3534682212607201,"score_spread":0.282545863472084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170340412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99799854,0.0002063468,0.0004953568,0.000014299149,0.0000020135199,0.000008024876,0.000222043,0.000018449779,0.0010349418],"genre_scores_gemma":[0.99770266,0.0002638378,0.0010863779,0.000007233373,0.0000043764726,0.0000043196806,0.00043187893,0.0000060088123,0.00049332547],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99990845,0.0000057720245,0.0000049243918,0.000011449401,0.00004273079,0.00002675264],"domain_scores_gemma":[0.99980503,0.000028059947,0.000034181485,0.000011087002,0.00009970359,0.000021827824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016844287,0.00016864199,0.00017235498,0.001727128,0.0002669893,0.0004524616,0.00016913669,0.000170813,0.00031717296],"category_scores_gemma":[0.00037633837,0.00009906219,0.000083102765,0.0012483953,0.0002131835,0.00018763366,0.00018267814,0.00013302824,0.000115047296],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000275806,0.00013044712,0.8434929,0.00013380077,0.000066617424,0.0018107352,0.0021011538,0.0022800893,0.07594752,0.00033368135,0.00039376185,0.07303342],"study_design_scores_gemma":[0.0000032267087,0.000030188376,0.9939898,0.000007874695,0.000012771449,0.00039147667,0.00040946138,0.00088218274,0.0032528646,0.00002008028,0.0009951132,0.0000049382315],"about_ca_topic_score_codex":0.06565509,"about_ca_topic_score_gemma":0.09823327,"teacher_disagreement_score":0.06565509,"about_ca_system_score_codex":0.0004214389,"about_ca_system_score_gemma":0.00044403167,"threshold_uncertainty_score":0.13054585},"labels":[],"label_agreement":null},{"id":"W2171566083","doi":"10.1109/tap.2010.2041156","title":"Comparison of TE and TM Inversions in the Framework of the Gauss-Newton Method","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Antennas and Propagation","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Inversion (geology); Scattering; Gauss; Inverse scattering problem; Transverse plane; Inverse transform sampling; Magnetic field; Newton's method; Computational complexity theory; Inverse problem; Algorithm; Computational physics; Mathematics; Physics; Mathematical analysis; Optics; Quantum mechanics; Geology","score_opus":0.01966749943329825,"score_gpt":0.3096947120590554,"score_spread":0.29002721262575715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171566083","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1497443,0.0003482332,0.83652896,0.0002710793,0.00008076536,0.0000626567,0.00010980371,0.0010328003,0.01182142],"genre_scores_gemma":[0.5445934,0.00031082425,0.45158595,0.00006675507,0.000046626243,0.0000588871,0.00034149742,0.00030131382,0.002694768],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956936,0.0001544002,0.000020819492,0.000036650046,0.00017668457,0.000042008185],"domain_scores_gemma":[0.99762803,0.0012025353,0.000114457376,0.00018180278,0.0007943227,0.00007896343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016381401,0.00052271085,0.00045860218,0.0006158254,0.00035679628,0.0008408893,0.00072908704,0.0006179431,0.0012132764],"category_scores_gemma":[0.007253954,0.00018617872,0.00039561422,0.00044220564,0.00042429648,0.0007396247,0.0006495376,0.0005543187,0.0003915984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092305156,0.0001396657,0.004544552,0.00015184181,0.00013620802,0.00013868828,0.00024860993,0.7948356,0.012614503,0.016114622,0.0019276907,0.16822486],"study_design_scores_gemma":[0.000014956116,0.0000340863,0.00047125822,0.000006905544,0.000008013368,0.00003353388,0.000030788477,0.99569345,0.0021884758,0.0010016491,0.0005088849,0.000008088349],"about_ca_topic_score_codex":0.008271305,"about_ca_topic_score_gemma":0.006877365,"teacher_disagreement_score":0.008271305,"about_ca_system_score_codex":0.00029096947,"about_ca_system_score_gemma":0.0013245714,"threshold_uncertainty_score":0.016446352},"labels":[],"label_agreement":null},{"id":"W2171584283","doi":"10.1190/geo2013-0168.1","title":"Simultaneous source separation using a robust Radon transform","year":2013,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":160,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Radon transform; Radon; Noise (video); Computer science; Algorithm; Function (biology); Artificial intelligence; Image (mathematics); Physics","score_opus":0.015319718946127037,"score_gpt":0.24798983618799947,"score_spread":0.23267011724187242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171584283","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017544914,0.00010438101,0.98100305,0.00006641888,0.000027360658,0.000021182235,0.00003757254,0.00038276688,0.00081234315],"genre_scores_gemma":[0.26579064,0.00017743793,0.7320971,0.00006403014,0.000045609348,0.000057747955,0.00019122065,0.00013176326,0.0014444772],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992441,0.0001579958,0.00003984342,0.000161366,0.00033934833,0.00005739839],"domain_scores_gemma":[0.9993523,0.0002432193,0.00010201807,0.00012835374,0.00014972236,0.000024479294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010398236,0.0008535481,0.00088727125,0.0009967549,0.00029043347,0.0010079992,0.0008367806,0.0010755586,0.0013498411],"category_scores_gemma":[0.002223243,0.00049660983,0.0011490115,0.00084598595,0.0007323055,0.0016256457,0.0017562605,0.0010729106,0.00072511664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042300005,0.00013941774,0.0011667439,0.00028153934,0.0002374359,0.0003260898,0.00032842148,0.40462372,0.20915432,0.047508013,0.0015669441,0.3342443],"study_design_scores_gemma":[0.000037649846,0.00014239913,0.00057851727,0.000018486406,0.0000619989,0.00022934139,0.000042464853,0.9306616,0.05666355,0.007290839,0.004218099,0.00005508983],"about_ca_topic_score_codex":0.0009791623,"about_ca_topic_score_gemma":0.0010949272,"teacher_disagreement_score":0.0013498411,"about_ca_system_score_codex":0.00031316798,"about_ca_system_score_gemma":0.0008912664,"threshold_uncertainty_score":0.0054991245},"labels":[],"label_agreement":null},{"id":"W2171781245","doi":"10.1111/j.1745-6592.2007.00183.x","title":"Evaluation of a Dialysis Sampler’s Integrity in a Cold Climate","year":2008,"lang":"en","type":"article","venue":"Groundwater Monitoring & Remediation","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Iran Telecommunication Research Center; Natural Sciences and Engineering Research Council of Canada; Canadian Association of Petroleum Producers","keywords":"Dialysis; Environmental science; Structural integrity; Engineering; Medicine; Surgery","score_opus":0.08126562574412359,"score_gpt":0.3071595857738053,"score_spread":0.2258939600296817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171781245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921474,0.00031727157,0.006901568,0.000042529522,0.000028453047,0.000036094098,0.00013666466,0.000049664613,0.00034036874],"genre_scores_gemma":[0.99321645,0.00018849406,0.0055726315,0.000043188607,0.00001164316,0.000024080482,0.00016436448,0.00002281617,0.00075633056],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99895144,0.0002103279,0.00009495096,0.00022494694,0.0004157231,0.0001025782],"domain_scores_gemma":[0.99793786,0.00058798253,0.0004100857,0.00021415323,0.0007310603,0.000118825585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018253007,0.00039255113,0.000575161,0.00032483944,0.0005880082,0.0008815948,0.0006204196,0.0007450762,0.00064189],"category_scores_gemma":[0.0023342986,0.0002218424,0.0004252665,0.00024074821,0.00046318735,0.0006820133,0.0004955081,0.00048364457,0.00027906933],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023066482,0.00003322693,0.0037076126,0.000055374658,0.000023582263,0.00007517011,0.00013482908,0.0002456173,0.99325585,0.000043263164,0.000023068098,0.0021717616],"study_design_scores_gemma":[0.000012412774,0.0006966243,0.010353222,0.000012487267,0.00005386369,0.00026365867,0.00017514611,0.0022780998,0.98532397,0.0000227813,0.0007894247,0.0000181229],"about_ca_topic_score_codex":0.0021936335,"about_ca_topic_score_gemma":0.0022650568,"teacher_disagreement_score":0.0021936335,"about_ca_system_score_codex":0.0005090342,"about_ca_system_score_gemma":0.00041835278,"threshold_uncertainty_score":0.009653211},"labels":[],"label_agreement":null},{"id":"W2184367998","doi":"10.22215/etd/2013-06400","title":"Numerical investigation of the effects of cracking and embedded reinforcement on surface concrete resistivity measurements using Wenner probe","year":2013,"lang":"en","type":"dissertation","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Library and Archives Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cracking; Reinforcement; Geotechnical engineering; Engineering; Forensic engineering; Materials science; Structural engineering; Composite material","score_opus":0.025637560605568915,"score_gpt":0.2695583588314147,"score_spread":0.2439207982258458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2184367998","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9658948,0.000108239765,0.028179083,0.00014736678,0.000024198196,0.000022577065,0.00015021213,0.00030622093,0.00516741],"genre_scores_gemma":[0.9953655,0.00003229109,0.004114704,0.0000056823696,0.00000176456,0.000007837499,0.000026983662,0.000007369301,0.0004378841],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998267,0.000047540536,0.0000093795,0.00003121676,0.00006339061,0.000021721125],"domain_scores_gemma":[0.99809915,0.0014140841,0.00015661561,0.00013678051,0.00015938477,0.000033934615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036962258,0.00024019062,0.00033486134,0.0002682459,0.00019339214,0.00031817815,0.00035770342,0.0007069713,0.001427451],"category_scores_gemma":[0.0020802785,0.00023452078,0.0002100136,0.00029759167,0.00052203244,0.0003362135,0.00025457595,0.0003567398,0.00014894268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005251305,0.00020868196,0.008060357,0.00017599299,0.00004489985,0.0002903109,0.00021450469,0.8477037,0.11989843,0.0010175935,0.00053190737,0.021328434],"study_design_scores_gemma":[0.000016898888,0.0001340354,0.0023551197,0.000006758714,0.000010280629,0.000023061812,0.000033695127,0.9813969,0.015780417,0.00009033586,0.00014237071,0.000010073393],"about_ca_topic_score_codex":0.0030266577,"about_ca_topic_score_gemma":0.003265105,"teacher_disagreement_score":0.0030266577,"about_ca_system_score_codex":0.00027320153,"about_ca_system_score_gemma":0.00019621744,"threshold_uncertainty_score":0.006018102},"labels":[],"label_agreement":null},{"id":"W2185794671","doi":"","title":"Geophysical strategies for kimberlite exploration in northern Canada","year":2007,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Kimberlite; Diatreme; Geology; Facies; Impact crater; Geophysics; Seismic refraction; Geochemistry; Geomorphology; Structural basin; Mantle (geology)","score_opus":0.016190200187840884,"score_gpt":0.2539117267120521,"score_spread":0.2377215265242112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2185794671","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81270355,0.005445324,0.0042174305,0.014067045,0.00012671876,0.0006305044,0.0026948072,0.00058881135,0.15952592],"genre_scores_gemma":[0.92293686,0.0040026726,0.01405983,0.0012894183,0.000018882256,0.00009782276,0.0012370833,0.000050590894,0.05630686],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9997825,0.000012226299,0.0000049115874,0.000017092356,0.00006495168,0.00011836272],"domain_scores_gemma":[0.99963844,0.000013199045,0.000017226,0.000006558173,0.00016158988,0.00016287388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019952944,0.00029867573,0.00015698773,0.0016170924,0.005419554,0.0017357639,0.00087305735,0.00043860005,0.0051143165],"category_scores_gemma":[0.00052821095,0.00018783557,0.00015357864,0.0018654075,0.00076468324,0.00037266096,0.0014064943,0.00048406475,0.00035639346],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038232762,0.00022029893,0.4120397,0.00065491407,0.000084502826,0.006049734,0.014333793,0.0074870996,0.02038593,0.017446162,0.059634123,0.46128145],"study_design_scores_gemma":[0.00005079143,0.0001367619,0.5588806,0.00045908202,0.0000776133,0.0010431196,0.05683368,0.006103784,0.0030431019,0.0026505121,0.37057936,0.00014160805],"about_ca_topic_score_codex":0.9917154,"about_ca_topic_score_gemma":0.9983265,"teacher_disagreement_score":0.037561495,"about_ca_system_score_codex":0.037561495,"about_ca_system_score_gemma":0.087968625,"threshold_uncertainty_score":0.27252895},"labels":[],"label_agreement":null},{"id":"W2186296196","doi":"","title":"Dielectric permittivity of clay adsorbed water: Effect of salinity","year":2010,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Permittivity; Ground-penetrating radar; Dielectric; Attenuation; Conductivity; Materials science; Mineralogy; Relative permittivity; Radar; Geology; Geotechnical engineering; Chemistry; Optics; Physics; Optoelectronics; Telecommunications","score_opus":0.0051382867222144685,"score_gpt":0.24646612489616546,"score_spread":0.24132783817395098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2186296196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99796885,0.00032879759,0.0008775958,0.000031372245,0.000013267676,0.0000038197863,0.00007564696,0.00002559705,0.00067487505],"genre_scores_gemma":[0.99940777,0.000115094415,0.0001961096,0.000012357871,0.0000018591114,0.0000017268608,0.000049029877,0.0000045183883,0.00021147472],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99981683,0.000023624167,0.000013335707,0.000034886063,0.00006334539,0.000048014335],"domain_scores_gemma":[0.9990441,0.0005055362,0.00014553161,0.00005305852,0.00018946937,0.00006226539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022726622,0.00023530358,0.00024949358,0.00018452837,0.00011924135,0.00035763485,0.00020325849,0.00024693017,0.0014959566],"category_scores_gemma":[0.0010513513,0.00013423506,0.00017912341,0.00027021137,0.00027624692,0.000336043,0.0002980883,0.0003394885,0.0002859241],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005116217,0.00004661864,0.0039118724,0.00010790591,0.000027033728,0.00020060039,0.00008915709,0.0035423222,0.9871776,0.00006036002,0.00008944545,0.0042353678],"study_design_scores_gemma":[0.000015834126,0.0005624435,0.014042923,0.000013447557,0.000038630267,0.0002736308,0.00019951805,0.012859797,0.97128546,0.00008293989,0.00059886964,0.000026403113],"about_ca_topic_score_codex":0.001230969,"about_ca_topic_score_gemma":0.00067740824,"teacher_disagreement_score":0.0014959566,"about_ca_system_score_codex":0.00014810245,"about_ca_system_score_gemma":0.00012087166,"threshold_uncertainty_score":0.0050044656},"labels":[],"label_agreement":null},{"id":"W2188656370","doi":"","title":"Developments in Time-Of-Flight Diffraction (TOFD)","year":2012,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Extrapolation; Sizing; Diffraction; Acoustics; Computer science; Optics; Physics; Mathematics","score_opus":0.0133073090271718,"score_gpt":0.25242771044508516,"score_spread":0.23912040141791335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2188656370","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008099919,0.012027652,0.9667446,0.0006873014,0.00084242824,0.00016042651,0.00022066705,0.0005732331,0.010643767],"genre_scores_gemma":[0.032113656,0.008472905,0.95432895,0.00021424942,0.00027124037,0.00012485466,0.00028745717,0.000085891596,0.0041007916],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971831,0.0004266062,0.00018377506,0.00042740515,0.0016641094,0.00011507546],"domain_scores_gemma":[0.99591994,0.0016338184,0.00027125917,0.0005486012,0.0015028055,0.0001235946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032172396,0.0009270351,0.0010448362,0.00181788,0.00040658936,0.0015542768,0.0013521533,0.0014793025,0.00415609],"category_scores_gemma":[0.003723854,0.0007169313,0.000653662,0.0021095844,0.0010466913,0.0020844857,0.00137861,0.0023376856,0.0012497731],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002372666,0.00022758487,0.0022747421,0.0015286591,0.00008654738,0.00029608078,0.00039771077,0.0072327456,0.31971806,0.05771526,0.007861554,0.6024238],"study_design_scores_gemma":[0.00010676423,0.0011138045,0.0037550433,0.0004036796,0.00008988546,0.0049749515,0.00030583696,0.08367254,0.43478712,0.010986243,0.4594335,0.0003706356],"about_ca_topic_score_codex":0.0009825844,"about_ca_topic_score_gemma":0.0013097591,"teacher_disagreement_score":0.00415609,"about_ca_system_score_codex":0.000867573,"about_ca_system_score_gemma":0.00081814214,"threshold_uncertainty_score":0.017014563},"labels":[],"label_agreement":null},{"id":"W2188824577","doi":"10.4095/213689","title":"Using downhole geophysical logs to provide detailed lithology and stratigraphic assignment, Oak Ridges Morain, southern Ontario","year":2002,"lang":"en","type":"report","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geology; Lithology; Geophysics; Paleontology; Seismology; Geomorphology","score_opus":0.07481535192218415,"score_gpt":0.2984039603213976,"score_spread":0.22358860839921346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2188824577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9577315,0.00026919218,0.0040126946,0.00022359168,0.000025284131,0.0005863529,0.009623481,0.00028115726,0.027246835],"genre_scores_gemma":[0.9338696,0.00048350173,0.011208876,0.000075958385,0.000008410533,0.00022646188,0.008022907,0.00006309928,0.046041183],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996138,0.000020194722,0.000016993179,0.000068699745,0.00021305596,0.00006715026],"domain_scores_gemma":[0.998563,0.00009229755,0.00015651097,0.000119584714,0.00095661887,0.00011206797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002857614,0.00030910393,0.000108040695,0.00086288113,0.0011462817,0.0005419178,0.00043329247,0.00013476731,0.002763845],"category_scores_gemma":[0.0014474714,0.00027680057,0.000105019586,0.00094419566,0.0005747654,0.00027650726,0.00043250222,0.00017273026,0.0005854348],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023293754,0.00014926339,0.8203826,0.00022336829,0.000032567365,0.0008870669,0.0085134795,0.0016367311,0.02220897,0.0010468418,0.013681794,0.1310044],"study_design_scores_gemma":[0.000015935564,0.000054269993,0.967366,0.00002538877,0.000011730868,0.00010181915,0.0021849803,0.00097593997,0.0030849816,0.000095780946,0.026071316,0.000011868752],"about_ca_topic_score_codex":0.94414365,"about_ca_topic_score_gemma":0.99158704,"teacher_disagreement_score":0.055856347,"about_ca_system_score_codex":0.0067298575,"about_ca_system_score_gemma":0.011499859,"threshold_uncertainty_score":0.11237055},"labels":[],"label_agreement":null},{"id":"W2194688290","doi":"10.1190/geo2015-0164.1","title":"Monitoring of ground surface and subsurface deformations at oil sands using radar interferometry","year":2015,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Geology; Interferometry; Synthetic aperture radar; Geodesy; Interferometric synthetic aperture radar; Radar; Tiltmeter; Seismology; Remote sensing; Optics","score_opus":0.047708251323467774,"score_gpt":0.27760885844177574,"score_spread":0.22990060711830795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2194688290","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976545,0.000043160773,0.0016296677,0.000009867004,0.000002045116,0.000008673141,0.0001544051,0.000061166065,0.00043659276],"genre_scores_gemma":[0.99718827,0.000029201528,0.0025131688,0.000003931765,0.0000018684816,0.0000035315004,0.00016312845,0.00000273686,0.00009413496],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99985313,0.00001212344,0.000004740861,0.00002511556,0.00007297501,0.000031888052],"domain_scores_gemma":[0.99982905,0.00002286832,0.000044641056,0.0000114142385,0.0000696671,0.000022192064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020647128,0.00024638692,0.00017486302,0.0013247019,0.00019485215,0.00029906325,0.00030693377,0.00017929926,0.00023107114],"category_scores_gemma":[0.00026949457,0.000114575334,0.00015150395,0.00080820837,0.00018092473,0.00024213585,0.00022283812,0.00015101586,0.00009404899],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038384768,0.00020048917,0.52522916,0.00011477112,0.0001214875,0.00031150694,0.00037397558,0.022530204,0.33888847,0.00020890185,0.00045067043,0.11118655],"study_design_scores_gemma":[0.00002232311,0.00015154011,0.8668639,0.000009157814,0.00005191447,0.00010113587,0.00022050976,0.10000674,0.03185512,0.000075256554,0.0006144863,0.000027960976],"about_ca_topic_score_codex":0.043443695,"about_ca_topic_score_gemma":0.07281664,"teacher_disagreement_score":0.043443695,"about_ca_system_score_codex":0.00051916204,"about_ca_system_score_gemma":0.00048298345,"threshold_uncertainty_score":0.086381614},"labels":[],"label_agreement":null},{"id":"W2197344234","doi":"10.5539/mas.v9n13p71","title":"Microwave Surface Reflection Method for Soil Moisture Determination Using frequency of 1.7-2.6 GHz","year":2015,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Loam; Soil science; Ground-penetrating radar; Water content; Environmental science; Moisture; Remote sensing; Microwave; Reflection (computer programming); Soil type; Radar; Soil water; Geology; Geotechnical engineering; Materials science; Computer science; Composite material","score_opus":0.05958365593620622,"score_gpt":0.34059705988753125,"score_spread":0.281013403951325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2197344234","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.060031284,0.00063857913,0.93443906,0.00012060773,0.000096975746,0.00006020873,0.00021268227,0.001742091,0.0026585832],"genre_scores_gemma":[0.44657588,0.001277151,0.54776,0.00013696434,0.000054748154,0.00014335175,0.00043736643,0.00016355664,0.0034510975],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99947137,0.00011462207,0.000019215795,0.00012508756,0.00024373594,0.000025981122],"domain_scores_gemma":[0.99971265,0.000080562524,0.000049601807,0.000054235934,0.00009691957,0.0000060348816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038318767,0.000678374,0.00036813083,0.00065567234,0.000114528695,0.00033492327,0.0005035083,0.0005592286,0.0012568478],"category_scores_gemma":[0.00068940455,0.0002364005,0.0004564214,0.00084403297,0.00019060697,0.0007097326,0.00029748984,0.00051543984,0.0010444527],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013751475,0.000090043606,0.003891505,0.00046305472,0.00007220786,0.00015635544,0.00016947315,0.0050449464,0.70088065,0.0022476984,0.002454414,0.28439212],"study_design_scores_gemma":[0.00005631082,0.0005107632,0.013017111,0.000052287316,0.00017843547,0.0022478255,0.00022895513,0.22723523,0.7317805,0.001985338,0.022582924,0.00012423858],"about_ca_topic_score_codex":0.00027876566,"about_ca_topic_score_gemma":0.000559477,"teacher_disagreement_score":0.0012568478,"about_ca_system_score_codex":0.00016155813,"about_ca_system_score_gemma":0.0001825063,"threshold_uncertainty_score":0.0042045712},"labels":[],"label_agreement":null},{"id":"W2206957155","doi":"10.4271/2005-01-3541","title":"Field Evaluation of the Mine Hammer: A Landmine Neutralization Mechanism","year":2005,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Defence Research and Development Canada; University of Saskatchewan","funders":"","keywords":"Hammer; Neutralization; Mechanism (biology); Field (mathematics); Mining engineering; Environmental science; Geology; Engineering; Mechanical engineering; Physics; Virology; Mathematics","score_opus":0.019171139947613443,"score_gpt":0.27622803757924935,"score_spread":0.2570568976316359,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2206957155","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98954684,0.00006097373,0.008817984,0.00003885541,0.00002029387,0.00026349435,0.00010903111,0.00010088058,0.0010417112],"genre_scores_gemma":[0.9888293,0.000062017294,0.00892219,0.000019621648,0.000004801692,0.00005648112,0.0001360648,0.000011475285,0.0019579115],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994561,0.0001173924,0.000029179675,0.00008152165,0.00024290706,0.00007282571],"domain_scores_gemma":[0.9988342,0.00025379265,0.00010112432,0.0001426687,0.00053285644,0.0001354612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015429021,0.00048813346,0.0003223394,0.0004538532,0.00030391305,0.00023997428,0.0010231858,0.0006976055,0.0015067346],"category_scores_gemma":[0.0012189413,0.00021210224,0.00021665289,0.00020371619,0.00041512065,0.00040173755,0.00033980727,0.0002566915,0.00022146219],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002692379,0.0027095354,0.015700173,0.00052309834,0.00004485465,0.00048218097,0.0007095859,0.011126037,0.90404254,0.0004331725,0.00085751887,0.060678907],"study_design_scores_gemma":[0.0009356031,0.110256776,0.048669185,0.00006567818,0.00018045411,0.0011668935,0.0010753716,0.030107379,0.7994755,0.0002668468,0.007717169,0.000083155275],"about_ca_topic_score_codex":0.0015371024,"about_ca_topic_score_gemma":0.0025843792,"teacher_disagreement_score":0.0015429021,"about_ca_system_score_codex":0.00043480494,"about_ca_system_score_gemma":0.00033815994,"threshold_uncertainty_score":0.008159697},"labels":[],"label_agreement":null},{"id":"W2208036972","doi":"10.2172/755216","title":"H-Area Hazardous Waste Management Facility Corrective Action Report, Third and Fourth Quarter 1999, Volumes I and II","year":2000,"lang":"en","type":"report","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hazardous waste; Section (typography); Quarter (Canadian coin); Waste management; Environmental science; Engineering; Geography; Computer science; Archaeology; Operating system","score_opus":0.02511761394742373,"score_gpt":0.27151699775113186,"score_spread":0.24639938380370813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2208036972","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027283449,0.0024073743,0.0074078483,0.0046754745,0.0021476918,0.0025530779,0.4948365,0.0030812682,0.4556073],"genre_scores_gemma":[0.049083948,0.0034308177,0.0118911555,0.0012869004,0.00029159503,0.0012566063,0.22675633,0.00064321456,0.7053594],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99836,0.00010003498,0.00008255936,0.00007367322,0.001279764,0.00010391858],"domain_scores_gemma":[0.9966883,0.0002430023,0.00025096576,0.00017262893,0.0025318174,0.00011338862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014525212,0.0007572056,0.00032073463,0.0026099936,0.00077003636,0.0015476398,0.001536035,0.0010151298,0.048630748],"category_scores_gemma":[0.0028409045,0.00029021286,0.00021248887,0.0030151873,0.00023389753,0.0010040705,0.00048168068,0.0007942856,0.020770121],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002828318,0.00031233937,0.004790704,0.00026209807,0.000019377398,0.000085125605,0.00009458991,0.00088220485,0.0023937663,0.0015876174,0.9230047,0.06628459],"study_design_scores_gemma":[0.000120319346,0.00029845742,0.038319953,0.0001597692,0.000048149934,0.00012935704,0.00054484385,0.00094491866,0.012892555,0.0011694529,0.9453375,0.000034816105],"about_ca_topic_score_codex":0.07618214,"about_ca_topic_score_gemma":0.085045345,"teacher_disagreement_score":0.07618214,"about_ca_system_score_codex":0.0021803852,"about_ca_system_score_gemma":0.007904333,"threshold_uncertainty_score":0.16268605},"labels":[],"label_agreement":null},{"id":"W2227080081","doi":"10.4271/2005-01-3540","title":"Evaluation of Landmine Clearing Mechanisms: Chain Flails and Mine Hammer","year":2005,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de la Défense Nationale; University of Saskatchewan","keywords":"Clearing; Hammer; Chain (unit); Computer science; Computer security; Engineering; Business; Structural engineering; Physics","score_opus":0.02124748462091798,"score_gpt":0.2750745399330466,"score_spread":0.2538270553121286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2227080081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99572635,0.00012865468,0.0029600111,0.000009900878,0.000009833277,0.00012934433,0.00007164413,0.000042366206,0.00092181127],"genre_scores_gemma":[0.99428034,0.00010174502,0.0042999443,0.000007772667,0.0000026421521,0.000023048022,0.00009711828,0.000009912045,0.0011775634],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99927944,0.0000738117,0.00005558634,0.000075114134,0.0004042429,0.00011187256],"domain_scores_gemma":[0.9981029,0.00054893765,0.00026666507,0.00020978642,0.00067641336,0.00019524131],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010551543,0.0005695058,0.00045800238,0.0010163176,0.0003408954,0.0004007247,0.0006273038,0.0006497713,0.002372105],"category_scores_gemma":[0.001655758,0.0002108123,0.00027954255,0.00038763334,0.00044365806,0.000505104,0.0004187937,0.00020702898,0.00026461124],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0046497523,0.0013744393,0.03150832,0.0008712945,0.00008700187,0.00073143095,0.0005691861,0.050309025,0.7978681,0.00055002404,0.00047907405,0.111002386],"study_design_scores_gemma":[0.00029046746,0.027840659,0.10064624,0.00006923211,0.0001824754,0.00078498194,0.00083585724,0.1111264,0.75538486,0.00018891598,0.002540372,0.00010952841],"about_ca_topic_score_codex":0.0041396865,"about_ca_topic_score_gemma":0.0063901762,"teacher_disagreement_score":0.0041396865,"about_ca_system_score_codex":0.0005256745,"about_ca_system_score_gemma":0.0005347094,"threshold_uncertainty_score":0.008231163},"labels":[],"label_agreement":null},{"id":"W2253236772","doi":"","title":"Abstract: Application of fractured aquifer characterization techniques in the development of a wellfield protection plan, Springdale, south central New Brunswick","year":2011,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Geology; Borehole; Bed; Aquifer; Hydrogeology; Bedding; Bedrock; Magnetic dip; Groundwater flow; Fracture (geology); Groundwater; Geomorphology; Petrology; Anisotropy; Geotechnical engineering; Geophysics","score_opus":0.02829511705606743,"score_gpt":0.227021114572796,"score_spread":0.19872599751672856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2253236772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9870352,0.00009358589,0.007183343,0.000118213204,0.0000042666206,0.00023485346,0.0019329436,0.00007059237,0.0033270526],"genre_scores_gemma":[0.96947753,0.00011752266,0.023142014,0.000028302518,0.0000014503324,0.00012284878,0.0016605752,0.000014778866,0.0054348586],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981934,0.000012647308,0.000009614685,0.000042923184,0.00007884646,0.000036544723],"domain_scores_gemma":[0.9995877,0.000037694168,0.00007697043,0.000019230716,0.00023827652,0.000040077663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033639593,0.00020485235,0.000080006175,0.00093195646,0.00058458804,0.00052470464,0.0005103165,0.00014793662,0.002120973],"category_scores_gemma":[0.00049651705,0.00019818419,0.000094926385,0.0008364772,0.0002785802,0.000278431,0.0002869244,0.00018635773,0.0001967176],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014933018,0.00012879315,0.78180814,0.0001345918,0.00003270649,0.00087035896,0.0018170658,0.0075802067,0.0748207,0.0007438485,0.00176671,0.13014756],"study_design_scores_gemma":[0.000013664232,0.00012907451,0.97539914,0.000030559106,0.000012005995,0.00015766594,0.0021311287,0.0057900287,0.010800379,0.00013791688,0.0053824107,0.00001607369],"about_ca_topic_score_codex":0.45897168,"about_ca_topic_score_gemma":0.86295813,"teacher_disagreement_score":0.5410283,"about_ca_system_score_codex":0.0038102202,"about_ca_system_score_gemma":0.0048950007,"threshold_uncertainty_score":0.91260034},"labels":[],"label_agreement":null},{"id":"W2258562748","doi":"","title":"Abstract: Borehole geophysical characterization of the fractured bedrock aquifer underlying Black Brook Watershed, near Saint-André, New Brunswick","year":2009,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bedrock; Geology; Aquifer; Borehole; Watershed; SAINT; Geomorphology; Seismology; Hydrology (agriculture); Geophysics; Groundwater; Geotechnical engineering","score_opus":0.016846345083873813,"score_gpt":0.24581093387785408,"score_spread":0.22896458879398027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2258562748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99309134,0.000046837973,0.0011113957,0.000057167443,0.000005581667,0.000039896673,0.0027022152,0.000059341422,0.002886288],"genre_scores_gemma":[0.9930093,0.000051082592,0.0019951067,0.000024839697,0.0000028005834,0.000028204056,0.0016033296,0.000011687921,0.0032736678],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998394,0.0000094003035,0.000010288692,0.000038191127,0.000072148316,0.000030584826],"domain_scores_gemma":[0.99967384,0.00002335112,0.000039507762,0.000024859057,0.00020159404,0.00003677664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002162455,0.00019123593,0.00018222425,0.00080378406,0.00096967345,0.0005007822,0.00049377396,0.00024212801,0.0017118745],"category_scores_gemma":[0.00051841734,0.00018046335,0.000117288735,0.0009453308,0.0003235154,0.00043886373,0.00044199912,0.00025024856,0.00024517914],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030677742,0.00029407983,0.8998059,0.00011396989,0.000053048403,0.00059102534,0.0018292267,0.006183319,0.046361562,0.00061673444,0.002773781,0.04107062],"study_design_scores_gemma":[0.000012555829,0.00003288603,0.99025506,0.000012019434,0.0000115243265,0.00011098634,0.0008772892,0.0034134337,0.003327903,0.00007184853,0.001863756,0.000010763676],"about_ca_topic_score_codex":0.5286152,"about_ca_topic_score_gemma":0.8461824,"teacher_disagreement_score":0.47138482,"about_ca_system_score_codex":0.0016546266,"about_ca_system_score_gemma":0.0037263562,"threshold_uncertainty_score":0.9483218},"labels":[],"label_agreement":null},{"id":"W2274700609","doi":"10.1190/geo2015-0219.1","title":"The effect of dielectric permittivity on the fields radiated from a radio-frequency electric dipole in a homogeneous whole space","year":2016,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Laurentian University","funders":"Natural Sciences and Engineering Research Council of Canada; Materials and Energy Research Center","keywords":"Permittivity; Dielectric; Materials science; Relative permittivity; Amplitude; Conductivity; Electric field; Dipole; Vacuum permittivity; Electrical conductor; Mineralogy; Nuclear magnetic resonance; Computational physics; Composite material; Optics; Geology; Physics; Optoelectronics","score_opus":0.004562790966151117,"score_gpt":0.20189768556949306,"score_spread":0.19733489460334194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2274700609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99189353,0.000027861812,0.007436218,0.000009054157,0.000003005301,0.0000068174527,0.00002956476,0.000041623745,0.0005524436],"genre_scores_gemma":[0.99839395,0.000024670628,0.0014245928,0.000004793405,6.3840366e-7,0.0000027104986,0.00001534908,0.000004713333,0.00012853465],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999859,0.00003844083,0.000006428826,0.00003766587,0.00003299109,0.000025395264],"domain_scores_gemma":[0.9995103,0.00032059997,0.00005641069,0.00003522699,0.000055253593,0.000022227492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037004674,0.00020883729,0.00013585434,0.00031359194,0.000121715275,0.00026927036,0.00022449729,0.000147366,0.0005389554],"category_scores_gemma":[0.0009294456,0.0001347912,0.00011719269,0.00028848267,0.00044721054,0.00032738197,0.00021212449,0.00014886801,0.00008891544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005047218,0.00009040209,0.0137793375,0.00006483806,0.000029063876,0.0005193708,0.000310075,0.030627271,0.93703836,0.00031525697,0.000079134865,0.016642362],"study_design_scores_gemma":[0.00004304823,0.00062089297,0.08949223,0.00001628061,0.000074813426,0.000384411,0.0003343487,0.1197519,0.7883403,0.00019948097,0.00070528965,0.000037016755],"about_ca_topic_score_codex":0.002263063,"about_ca_topic_score_gemma":0.0019410213,"teacher_disagreement_score":0.002263063,"about_ca_system_score_codex":0.00026441223,"about_ca_system_score_gemma":0.00013181026,"threshold_uncertainty_score":0.004499793},"labels":[],"label_agreement":null},{"id":"W2284053638","doi":"10.1190/geo2015-0217.1","title":"Survey decomposition: A scalable framework for 3D controlled-source electromagnetic inversion","year":2016,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Inversion (geology); Computer science; Algorithm; Superposition principle; Computational complexity theory; Computation; Scalability; Geodetic datum; Computational science; Mathematical optimization; Mathematics; Mathematical analysis; Geodesy","score_opus":0.012208541966838179,"score_gpt":0.25956488742666206,"score_spread":0.24735634545982388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2284053638","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012958266,0.000045442546,0.996126,0.00003432366,0.000011140541,0.000029613631,0.000106414904,0.0018113961,0.00053989614],"genre_scores_gemma":[0.10806195,0.0002021843,0.88751084,0.0001054148,0.00004790693,0.00038844213,0.0010487273,0.0011658816,0.0014686093],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995053,0.000128459,0.000023755636,0.00006169652,0.00023131109,0.00004958495],"domain_scores_gemma":[0.9991371,0.0003523488,0.00006361072,0.00016498388,0.0002005738,0.000081429826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013180678,0.0011687368,0.0011801764,0.0011496231,0.00055690465,0.0017577885,0.0031145243,0.0010860483,0.006275797],"category_scores_gemma":[0.0025771065,0.000858195,0.0015138973,0.0011044161,0.00083578646,0.0011775857,0.0030489203,0.0018274385,0.0018034823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018346371,0.00012166359,0.0013157385,0.00026916826,0.00014465378,0.00021771088,0.00022910186,0.7988191,0.010955019,0.056749906,0.008341964,0.12265258],"study_design_scores_gemma":[0.000011070137,0.000005623185,0.00003880301,0.0000047157732,0.0000025303993,0.000008661814,0.000009276371,0.9915173,0.00044546142,0.006426061,0.001525912,0.000004669989],"about_ca_topic_score_codex":0.007654616,"about_ca_topic_score_gemma":0.011283845,"teacher_disagreement_score":0.007654616,"about_ca_system_score_codex":0.0007483046,"about_ca_system_score_gemma":0.001290576,"threshold_uncertainty_score":0.020994663},"labels":[],"label_agreement":null},{"id":"W2288740706","doi":"10.1109/nemo.2015.7415074","title":"High-order contrast source inversion of dielectric targets using a Discontinuous Galerkin discretization of the vector wave equation","year":2015,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Discretization; Finite element method; Curl (programming language); Discontinuous Galerkin method; Maxwell's equations; Solver; Mathematical analysis; Galerkin method; Electromagnetic field solver; Physics; Magnetic field; Electromagnetics; Electromagnetic field; Applied mathematics; Mathematics; Inhomogeneous electromagnetic wave equation; Computer science; Optical field; Mathematical optimization","score_opus":0.02730822538762832,"score_gpt":0.23091168394377332,"score_spread":0.203603458556145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2288740706","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014318513,0.00003952041,0.98401546,0.00005573303,0.000010620283,0.000017652435,0.000025870208,0.00014373595,0.001372753],"genre_scores_gemma":[0.33347648,0.00012493572,0.6636211,0.00006864335,0.000016802536,0.000071634546,0.00015393744,0.000104750594,0.002361608],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998826,0.000022878445,0.0000056601452,0.000015242888,0.00006316929,0.00001052971],"domain_scores_gemma":[0.9996785,0.00019400497,0.000028631814,0.000031538126,0.00005325128,0.000014089867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034922248,0.00033442202,0.0003296049,0.00030493175,0.00016842053,0.0006074208,0.0005489322,0.0004575806,0.0008215021],"category_scores_gemma":[0.001099398,0.00020252628,0.00032215318,0.00028593445,0.00041924862,0.00063724804,0.00065022724,0.00072557706,0.00021274004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015865345,0.00013708763,0.002217516,0.00023075016,0.000037243408,0.0003464137,0.0003445541,0.68047494,0.12551877,0.05905082,0.0018304603,0.12965275],"study_design_scores_gemma":[0.000007814968,0.0000101511405,0.000088565364,0.0000031450993,0.0000016796834,0.000052195144,0.000010639663,0.98772055,0.009036605,0.002140906,0.00092314294,0.0000046244604],"about_ca_topic_score_codex":0.001436138,"about_ca_topic_score_gemma":0.0013759637,"teacher_disagreement_score":0.001436138,"about_ca_system_score_codex":0.00035037225,"about_ca_system_score_gemma":0.000801441,"threshold_uncertainty_score":0.0028555393},"labels":[],"label_agreement":null},{"id":"W2294110607","doi":"","title":"Adaptive Identification of Landmine Class by Evaluating the Total Degree of Conformity of Ring-CSOM Weights in a Ground Penetrating Radar System","year":2010,"lang":"en","type":"article","venue":"International Conference on Intelligent Information Processing","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Ground-penetrating radar; Radar; Artificial intelligence; Feature (linguistics); Identification (biology); Remote sensing; Computer science; Feature extraction; Class (philosophy); Feature vector; Computer vision; Noise (video); Geology; Pattern recognition (psychology); Image (mathematics)","score_opus":0.05922126072996002,"score_gpt":0.3256434527137927,"score_spread":0.26642219198383266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2294110607","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87657565,0.000028818418,0.12251695,0.000022426819,0.0000073669858,0.000018520002,0.000020742526,0.00016862822,0.00064088224],"genre_scores_gemma":[0.97854716,0.000018116805,0.021172274,0.0000061013425,0.0000037675197,0.000008357318,0.000030833133,0.0000142008275,0.00019927815],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99975437,0.000051146664,0.00001685149,0.000049418315,0.00010088606,0.00002734748],"domain_scores_gemma":[0.99923694,0.00023113126,0.00014512557,0.00007002151,0.00026222994,0.000054669857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005721778,0.00022517661,0.00018627958,0.0008958615,0.00013608628,0.00036272474,0.00019933701,0.00030113844,0.00040223246],"category_scores_gemma":[0.0030814281,0.00010680004,0.00013064005,0.00037552288,0.00021355256,0.0006250461,0.0003030748,0.00016842921,0.00012901265],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010804749,0.00020090489,0.08373363,0.00012060739,0.00012678902,0.0002160888,0.0005380027,0.068145,0.38764563,0.0014137521,0.00055966165,0.4562195],"study_design_scores_gemma":[0.000023653023,0.0004204166,0.11964268,0.000011524265,0.00005588271,0.0004557051,0.0002667593,0.7809829,0.09643922,0.0011228559,0.0005301453,0.00004827591],"about_ca_topic_score_codex":0.00062324776,"about_ca_topic_score_gemma":0.0008561662,"teacher_disagreement_score":0.0008958615,"about_ca_system_score_codex":0.00014938375,"about_ca_system_score_gemma":0.00012288216,"threshold_uncertainty_score":0.0030260086},"labels":[],"label_agreement":null},{"id":"W2294479190","doi":"","title":"NRC-IRC computer controlled acoustic measurement and quality system","year":2009,"lang":"en","type":"article","venue":"NPARC","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Oracle; Computer science; Raw data; Software; Database; Relational database; Data quality; Quality (philosophy); Software engineering; Operating system; Engineering","score_opus":0.03302760837264271,"score_gpt":0.2622909539783953,"score_spread":0.2292633456057526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2294479190","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020195346,0.0005108707,0.55554205,0.0007079742,0.00092321885,0.002763413,0.016704839,0.12950538,0.27314684],"genre_scores_gemma":[0.28720364,0.000616982,0.41929463,0.0014346561,0.0004837432,0.004790897,0.03210223,0.0077605355,0.24631266],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9901654,0.00072335824,0.00032789813,0.001260347,0.0072381133,0.0002848049],"domain_scores_gemma":[0.9903251,0.0006573739,0.0004366654,0.001820782,0.006437147,0.00032290482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048931474,0.00070366863,0.0011236501,0.0022818607,0.0012856335,0.0020261449,0.0030260694,0.0010676358,0.051848374],"category_scores_gemma":[0.0076797283,0.00043140133,0.0003224396,0.001505909,0.0008865441,0.0011382835,0.0013913455,0.0011608907,0.0388439],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019178855,0.0005191629,0.009330804,0.0006375797,0.00009993102,0.00027746893,0.0005048911,0.010303001,0.18397555,0.021998623,0.34723875,0.42319643],"study_design_scores_gemma":[0.0004906771,0.0008437567,0.011250315,0.00017995088,0.00010440186,0.0005611422,0.00011260598,0.111014105,0.090075426,0.0024040898,0.782686,0.00027752327],"about_ca_topic_score_codex":0.02508093,"about_ca_topic_score_gemma":0.022992345,"teacher_disagreement_score":0.051848374,"about_ca_system_score_codex":0.0035775886,"about_ca_system_score_gemma":0.007184262,"threshold_uncertainty_score":0.17345011},"labels":[],"label_agreement":null},{"id":"W2296622450","doi":"10.11575/prism/28616","title":"Using Ground-penetrating Radar and Seismic Shothole Drillers’ Logs to Identify Massive Ice and Taliks in the Lower Mackenzie Corridor and the Colville Hills, Northwest Territories","year":2013,"lang":"en","type":"dissertation","venue":"PRISM (University of Calgary)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Ground-penetrating radar; Seismology; Geomorphology; Radar; Engineering","score_opus":0.011267334936460795,"score_gpt":0.23469888312130482,"score_spread":0.22343154818484404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2296622450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99829656,0.000041324107,0.00025599587,0.000016921122,0.0000011182489,0.000020796631,0.00009639366,0.0000032060327,0.0012677839],"genre_scores_gemma":[0.994659,0.00022102497,0.0029870486,0.000018641522,0.0000021322396,0.000025936044,0.00035654425,0.0000022705042,0.001727367],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998103,0.000030152874,0.000011210457,0.00004985793,0.000053709246,0.000044784087],"domain_scores_gemma":[0.9996278,0.000079434416,0.00011045891,0.000021347354,0.000110265784,0.00005069665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032110637,0.00024199321,0.000103369886,0.0011397874,0.0004669389,0.0006054441,0.00035088035,0.00018877693,0.00054851506],"category_scores_gemma":[0.0006511683,0.00017029472,0.00009229132,0.0010027168,0.00046140395,0.0002882531,0.00036900962,0.0002004029,0.00018510215],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000091858805,0.000071470495,0.93219215,0.000047557976,0.000019570316,0.00060152775,0.0043706065,0.0004709839,0.013752095,0.000068333495,0.00029283907,0.048021093],"study_design_scores_gemma":[0.0000027418882,0.000053310752,0.9909519,0.00002281927,0.000005780492,0.00012697765,0.006166785,0.00051232014,0.0013979045,0.000013777887,0.0007411513,0.0000045332636],"about_ca_topic_score_codex":0.15951762,"about_ca_topic_score_gemma":0.60191697,"teacher_disagreement_score":0.84048235,"about_ca_system_score_codex":0.0008393543,"about_ca_system_score_gemma":0.0012724216,"threshold_uncertainty_score":0.31717825},"labels":[],"label_agreement":null},{"id":"W2299462031","doi":"10.14288/1.0053005","title":"Revealing the effects of subsurface structure on the antenna coupling of ground penetrating radar","year":2009,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ground-penetrating radar; Geology; Remote sensing; Antenna (radio); Radar; Coupling (piping); Seismology; Telecommunications; Engineering","score_opus":0.005890652743827617,"score_gpt":0.17502831248983153,"score_spread":0.16913765974600392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2299462031","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95596606,0.0003368146,0.041476496,0.00006614082,0.000015586289,0.000016470301,0.00013288319,0.00019719769,0.0017922173],"genre_scores_gemma":[0.9900337,0.00036516332,0.009016085,0.000030581486,0.000007739868,0.0000073071637,0.00012543419,0.00005247934,0.00036140362],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997055,0.000063964784,0.000011118699,0.000049623977,0.00012619044,0.00004357699],"domain_scores_gemma":[0.99930084,0.00033697463,0.00012413676,0.00007894692,0.00013205319,0.000027013133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005703377,0.0003759402,0.00025466795,0.0004247613,0.00012464706,0.0005919253,0.00021969202,0.0003521825,0.00069110637],"category_scores_gemma":[0.0016914891,0.0003230026,0.00019316933,0.0005562349,0.00035233446,0.0007033039,0.00038930497,0.00049367937,0.00030503876],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045623854,0.0000864323,0.026766654,0.00027632946,0.00009069325,0.0010835209,0.00043325216,0.06113962,0.8235915,0.0012449849,0.0006143759,0.08421636],"study_design_scores_gemma":[0.000035617042,0.00089889666,0.25000378,0.00006359568,0.00018239897,0.0030128818,0.0007097769,0.37112346,0.36714578,0.0027416449,0.0039558774,0.00012637734],"about_ca_topic_score_codex":0.00043805313,"about_ca_topic_score_gemma":0.00037216677,"teacher_disagreement_score":0.00069110637,"about_ca_system_score_codex":0.00018387607,"about_ca_system_score_gemma":0.000112663,"threshold_uncertainty_score":0.003016293},"labels":[],"label_agreement":null},{"id":"W2309166564","doi":"10.1109/lawp.2015.2479398","title":"Correlation-Based UWB Radar for Thin Layer Resolution","year":2015,"lang":"en","type":"article","venue":"IEEE Antennas and Wireless Propagation Letters","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Alberta Innovates - Technology Futures","keywords":"Radar; Resolution (logic); SIGNAL (programming language); Layer (electronics); Amplitude; Computer science; Optics; Algorithm; Materials science; Physics; Artificial intelligence; Telecommunications","score_opus":0.02954301764963137,"score_gpt":0.25348884495910995,"score_spread":0.22394582730947857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2309166564","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.052414674,0.0012657844,0.9431903,0.00011819642,0.00009588008,0.000036187925,0.000051335155,0.00053869915,0.0022888873],"genre_scores_gemma":[0.46837828,0.0013322532,0.52758294,0.0002655322,0.0001381967,0.00005859614,0.00014928085,0.00007701671,0.0020178726],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995578,0.00009483262,0.00002191933,0.00008261121,0.00020904613,0.00003384242],"domain_scores_gemma":[0.99923337,0.00034369057,0.00015628632,0.00010945257,0.00013587197,0.000021302065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004164814,0.0004862969,0.0004968657,0.000610971,0.00018936067,0.00071647303,0.00055952877,0.0006799592,0.0006232006],"category_scores_gemma":[0.0014453495,0.0002730565,0.00031711947,0.000731723,0.00030816498,0.00078663573,0.00060921436,0.000658656,0.0005835724],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024209864,0.00009898294,0.0019223815,0.00031714982,0.0000715574,0.00028549187,0.00009917069,0.036351055,0.6673384,0.011895588,0.0013945759,0.2799836],"study_design_scores_gemma":[0.000016617443,0.00018018954,0.0019674632,0.000036213267,0.00004934139,0.00055357604,0.00003388407,0.78837854,0.20136647,0.0029069127,0.0044603636,0.000050428647],"about_ca_topic_score_codex":0.00039077294,"about_ca_topic_score_gemma":0.00050014537,"teacher_disagreement_score":0.00071647303,"about_ca_system_score_codex":0.00023496214,"about_ca_system_score_gemma":0.00042151162,"threshold_uncertainty_score":0.00220263},"labels":[],"label_agreement":null},{"id":"W2313334492","doi":"10.2514/6.2016-1494","title":"Networked Cooperative Swarm System for Area Denial Operations","year":2016,"lang":"en","type":"article","venue":"AIAA Infotech @ Aerospace","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Air Force Research Laboratory; U.S. Air Force Academy","keywords":"Computer science; Swarm behaviour; Denial; Denial-of-service attack; Distributed computing; Artificial intelligence; Operating system; The Internet","score_opus":0.015297474991428254,"score_gpt":0.2412485753770114,"score_spread":0.22595110038558314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2313334492","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.057934657,0.0004607838,0.91593397,0.0003568664,0.0003028042,0.0003553412,0.000178149,0.0037090208,0.020768315],"genre_scores_gemma":[0.839834,0.00024739516,0.14364392,0.00010325631,0.000076568445,0.0005634053,0.00046534764,0.000101169666,0.01496484],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997423,0.00005869272,0.00001865118,0.000051741587,0.00008781736,0.000040802548],"domain_scores_gemma":[0.99970144,0.00006419442,0.000030484745,0.000059412618,0.00010306858,0.000041283874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044473,0.00054928754,0.00048678849,0.00036017984,0.0005591436,0.00061932846,0.0010191314,0.000450782,0.0047495887],"category_scores_gemma":[0.0008348182,0.00015707624,0.00030156047,0.00029248893,0.0003148252,0.00067270594,0.0011895864,0.00052849454,0.001114133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006514373,0.0002925503,0.0023626834,0.00022125879,0.00010052428,0.00034987682,0.00041162822,0.66487825,0.027350128,0.016519565,0.016424613,0.2704375],"study_design_scores_gemma":[0.000049662678,0.0001555216,0.00025740723,0.000006499253,0.000012448902,0.000038046262,0.000048837646,0.98799115,0.001986351,0.0018960482,0.0075478735,0.00001014457],"about_ca_topic_score_codex":0.0040264097,"about_ca_topic_score_gemma":0.0043716393,"teacher_disagreement_score":0.0047495887,"about_ca_system_score_codex":0.0005543087,"about_ca_system_score_gemma":0.00071628764,"threshold_uncertainty_score":0.015888989},"labels":[],"label_agreement":null},{"id":"W2313572015","doi":"10.1190/1.3513223","title":"Geostatistical inversion of seismic and GPR reflection images: what can we actually resolve?","year":2010,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Ground-penetrating radar; Geology; Inversion (geology); Reflection (computer programming); Seismology; Seismic inversion; Remote sensing; Geophysics; Computer science; Radar; Optics; Azimuth; Tectonics; Physics; Telecommunications","score_opus":0.012235376198983447,"score_gpt":0.2647146819051082,"score_spread":0.25247930570612476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2313572015","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13129453,0.009767766,0.8262519,0.027082102,0.00029907352,0.000050323706,0.00024712834,0.0007245436,0.0042825458],"genre_scores_gemma":[0.830017,0.009337253,0.15719312,0.0013063478,0.0006211774,0.000058219135,0.00018786253,0.00013084812,0.0011481753],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992331,0.00038798637,0.000042676525,0.000057125857,0.00019883456,0.00008029736],"domain_scores_gemma":[0.99472624,0.0033896014,0.0006989544,0.00055163645,0.0004821794,0.00015149373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005301445,0.00081875117,0.0010637403,0.00065671385,0.00019576932,0.0018695963,0.0011784869,0.0018350957,0.0008502558],"category_scores_gemma":[0.031125529,0.00053169794,0.00045876595,0.0012480767,0.0023056832,0.0055153803,0.0012192944,0.001088849,0.0005641553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003099757,0.0002793771,0.02278828,0.001405646,0.0003697515,0.0006159097,0.0008791414,0.14927965,0.014657983,0.15664703,0.00965141,0.6431158],"study_design_scores_gemma":[0.00007710187,0.00008509173,0.005927924,0.00026426185,0.00007817456,0.00046391517,0.0009493619,0.7204294,0.0054694116,0.2604518,0.0057131182,0.00009042604],"about_ca_topic_score_codex":0.0028279342,"about_ca_topic_score_gemma":0.0022645968,"teacher_disagreement_score":0.005301445,"about_ca_system_score_codex":0.0003878562,"about_ca_system_score_gemma":0.0015196139,"threshold_uncertainty_score":0.028037071},"labels":[],"label_agreement":null},{"id":"W2315680264","doi":"10.4133/sageep.28-009","title":"HELICOPTER TIME-DOMAIN EM RESULTS OVER THE BRANDON CHANNEL AND ASSINIBOINE DELTA AQUIFERS, BRANDON, MANITOBA","year":2015,"lang":"en","type":"article","venue":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2015","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Delta; Channel (broadcasting); Geology; Aquifer; Domain (mathematical analysis); Hydrology (agriculture); Geomorphology; Computer science; Geotechnical engineering; Engineering; Groundwater; Telecommunications; Mathematics","score_opus":0.007864794323881737,"score_gpt":0.1948220783576321,"score_spread":0.18695728403375036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2315680264","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979736,0.000012187023,0.00032529316,0.000016069513,0.0000010988234,0.0000038157705,0.00044357375,0.00002747863,0.001196778],"genre_scores_gemma":[0.9976406,0.00002893906,0.0006529823,0.0000075976677,6.538387e-7,0.0000037289674,0.0006013673,0.0000061844703,0.0010579575],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99997425,0.0000025050697,9.5013286e-7,0.0000062517097,0.000006939812,0.000009132212],"domain_scores_gemma":[0.999946,0.000009261309,0.0000063139596,0.0000033672043,0.000024611054,0.000010459069],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000076123964,0.0002014585,0.00008720928,0.00032896386,0.00031528957,0.00022627467,0.00018874831,0.00016578409,0.0010903893],"category_scores_gemma":[0.0001742151,0.00008986125,0.00011538008,0.00051097607,0.00015349271,0.00013012931,0.00017362542,0.00007845076,0.00012037671],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049061066,0.000121322024,0.77975136,0.000087202825,0.00010816113,0.0014342072,0.0015803499,0.10376916,0.046013236,0.00044118232,0.0028473113,0.063355885],"study_design_scores_gemma":[0.000025444939,0.00007256639,0.93207157,0.000010898426,0.000032223325,0.00012844859,0.0013869227,0.05968246,0.004069725,0.00007017283,0.0024305736,0.00001902179],"about_ca_topic_score_codex":0.40988657,"about_ca_topic_score_gemma":0.72187966,"teacher_disagreement_score":0.5901134,"about_ca_system_score_codex":0.0008225066,"about_ca_system_score_gemma":0.0005123536,"threshold_uncertainty_score":0.81500155},"labels":[],"label_agreement":null},{"id":"W2315963466","doi":"10.1190/tle35040345.1","title":"Geophysical investigation of a Middle Holocene archaeological site along the Yukon River, Alaska","year":2016,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Central Washington University","keywords":"Holocene; Radiocarbon dating; Archaeology; Geology; Landform; Ground-penetrating radar; Terrace (agriculture); Context (archaeology); River valley; Geophysical survey; Physical geography; Geomorphology; Oceanography; Radar; Paleontology; Geophysics; Geography","score_opus":0.03483241386678929,"score_gpt":0.24627174197695048,"score_spread":0.2114393281101612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2315963466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985331,0.000030917592,0.00016046393,0.00001761465,0.0000016804995,0.000010193439,0.000104416366,0.0000054766065,0.0011361708],"genre_scores_gemma":[0.99803156,0.000060736922,0.0010944919,0.000011675286,0.000001780913,0.000015083116,0.00014922961,0.0000018984225,0.000633482],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998832,0.000021986687,0.000011931062,0.000027214533,0.00003465119,0.000021060308],"domain_scores_gemma":[0.9998093,0.000032136162,0.000030594172,0.00001996139,0.000061019262,0.000046981193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023269371,0.00015104048,0.00014165792,0.0012558432,0.0021565608,0.0004973199,0.00034278425,0.0003161028,0.00051560445],"category_scores_gemma":[0.0003359314,0.00017535355,0.00008058811,0.001482071,0.00063946535,0.00022975542,0.0006012457,0.00016824575,0.000116405936],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012160756,0.00012488595,0.91234964,0.00008818078,0.000026897309,0.0042256373,0.025617072,0.00090489,0.03136852,0.00047139754,0.0004282007,0.024273032],"study_design_scores_gemma":[0.0000042827132,0.00008418264,0.9713392,0.000030608993,0.000012166594,0.0005638262,0.022999173,0.0007076441,0.0014596106,0.0001157348,0.0026707826,0.000012786794],"about_ca_topic_score_codex":0.07348102,"about_ca_topic_score_gemma":0.267362,"teacher_disagreement_score":0.07348102,"about_ca_system_score_codex":0.00060038303,"about_ca_system_score_gemma":0.000997389,"threshold_uncertainty_score":0.14610666},"labels":[],"label_agreement":null},{"id":"W2316884003","doi":"10.3997/2214-4609-pdb.179.01466-1474","title":"Identification Of Uxo With Surface Magnetic Charges On A Sphere","year":2007,"lang":"en","type":"article","venue":"20th EEGS Symposium on the Application of Geophysics to Engineering and Environmental Problems","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"RADIUS; Representation (politics); Object (grammar); Surface (topology); Unexploded ordnance; Magnetic dipole; Inverse problem; Dipole; Computer science; Physics; Artificial intelligence; Mathematics; Mathematical analysis; Geometry; Geology; Remote sensing","score_opus":0.003934299831362531,"score_gpt":0.17890869600391343,"score_spread":0.1749743961725509,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2316884003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9329017,0.00011388996,0.06418421,0.000091899805,0.000012940738,0.000021658167,0.000055725006,0.00017187213,0.0024462296],"genre_scores_gemma":[0.9882896,0.00005139882,0.01106493,0.00001629991,0.000004637564,0.0000047714702,0.000048266076,0.000009537759,0.00051061565],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999151,0.000013755092,0.000003703238,0.000021131518,0.00003076319,0.00001553455],"domain_scores_gemma":[0.9998609,0.000038651062,0.00002608872,0.000016912409,0.00004223023,0.000015260797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018954511,0.00033567462,0.00037150425,0.00056693354,0.00017168676,0.0005596736,0.00032292842,0.0003897378,0.00044766712],"category_scores_gemma":[0.0006762984,0.00014545216,0.00015765076,0.00036061945,0.00037138595,0.00054313306,0.0005402566,0.00016627074,0.000102013844],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052361283,0.00018475139,0.108456746,0.00018817514,0.00007754753,0.0014376637,0.0008559927,0.21535301,0.4703025,0.0072052986,0.0010639052,0.19435082],"study_design_scores_gemma":[0.00001710222,0.00008374464,0.042738352,0.000009362132,0.000011473897,0.00017600406,0.00036479637,0.9270184,0.026532676,0.002236412,0.000788659,0.000023013794],"about_ca_topic_score_codex":0.004096409,"about_ca_topic_score_gemma":0.0049303505,"teacher_disagreement_score":0.004096409,"about_ca_system_score_codex":0.00028757015,"about_ca_system_score_gemma":0.00022707887,"threshold_uncertainty_score":0.0081451535},"labels":[],"label_agreement":null},{"id":"W2316943547","doi":"10.1190/segam2015-5880539.1","title":"The significance of incorporating a 3-D point source in the inverse scattering series internal multiple attenuator for a 1-D subsurface","year":2015,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Attenuator (electronics); Attenuation; Point source; Scattering; Series (stratigraphy); Inverse; Algorithm; Physics; Computer science; Geology; Mathematics; Optics; Geometry","score_opus":0.03178623661141115,"score_gpt":0.258225137818993,"score_spread":0.2264389012075818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2316943547","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10840402,0.00006266163,0.8884884,0.00016845163,0.0000664502,0.000022892897,0.000028985956,0.00048769364,0.002270437],"genre_scores_gemma":[0.6647268,0.000102464925,0.33388975,0.000059546175,0.000034251312,0.00002445304,0.000080416285,0.000077036726,0.0010054457],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981946,0.000042238706,0.000008633521,0.000030020707,0.0000877426,0.000012016752],"domain_scores_gemma":[0.99946386,0.00025181065,0.000054246488,0.00007753787,0.00013084586,0.000021775513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051906606,0.00048499517,0.0002570263,0.00025875776,0.00025436707,0.0005856792,0.0006248537,0.00043179758,0.00093513273],"category_scores_gemma":[0.0015963507,0.00020954877,0.0003803034,0.00016809229,0.00041144452,0.0008824824,0.0005240284,0.00079774833,0.00023560575],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010436028,0.00004969555,0.006087555,0.000050584258,0.000025304156,0.00018308675,0.00014491784,0.8300168,0.046567887,0.0084047485,0.0006330953,0.107732005],"study_design_scores_gemma":[0.0000041707626,0.000029656212,0.00053552253,0.000006859972,0.000006688961,0.00005744529,0.000018996434,0.98904604,0.008282182,0.0011161217,0.0008868731,0.000009411131],"about_ca_topic_score_codex":0.0031844098,"about_ca_topic_score_gemma":0.0043880534,"teacher_disagreement_score":0.0031844098,"about_ca_system_score_codex":0.00030877668,"about_ca_system_score_gemma":0.00056561816,"threshold_uncertainty_score":0.006331742},"labels":[],"label_agreement":null},{"id":"W2317068582","doi":"10.4133/sageep2013-169.1","title":"2-D COOPERATIVE CROSS-HOLE ERT AND FULL-WAVEFORM GPR INVERSION","year":2013,"lang":"en","type":"article","venue":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2013","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Maxima and minima; Ground-penetrating radar; Inverse problem; Nonlinear system; Algorithm; Computer science; Norm (philosophy); Inversion (geology); Wavelet; Mathematical optimization; Waveform; Applied mathematics; Physics; Geology; Mathematics; Mathematical analysis; Telecommunications; Radar; Artificial intelligence; Seismology","score_opus":0.004899048153454999,"score_gpt":0.18612190121180033,"score_spread":0.18122285305834535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2317068582","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08585104,0.00013219708,0.9101584,0.00011662292,0.000037093567,0.000053424472,0.00009508259,0.00072649866,0.0028296295],"genre_scores_gemma":[0.6654126,0.00019161183,0.3305859,0.00011658955,0.000041152893,0.0001056744,0.00041167866,0.0001603969,0.0029742804],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996923,0.000053376738,0.000014091781,0.00008857659,0.000103552884,0.000048177506],"domain_scores_gemma":[0.9996593,0.000090440095,0.00006209902,0.00008621595,0.00007510722,0.000026934109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006792908,0.00088428316,0.00072315027,0.000650257,0.00014472957,0.0008327267,0.0007363012,0.0009659031,0.0016021004],"category_scores_gemma":[0.0015336104,0.00045606348,0.00063718,0.00074810174,0.00042974972,0.0015007621,0.001895551,0.00062324427,0.00063437514],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004987091,0.00020659153,0.0066893827,0.00035631735,0.0001649855,0.0012009563,0.00071945076,0.39111632,0.3261753,0.01193397,0.0022149065,0.25872317],"study_design_scores_gemma":[0.00001799939,0.000080792386,0.0016372782,0.000013507622,0.000029954741,0.0003491514,0.00009250657,0.9707097,0.022572255,0.0024257465,0.0020440298,0.00002716176],"about_ca_topic_score_codex":0.0007003787,"about_ca_topic_score_gemma":0.0011334172,"teacher_disagreement_score":0.0016021004,"about_ca_system_score_codex":0.00017985111,"about_ca_system_score_gemma":0.00047314636,"threshold_uncertainty_score":0.00535959},"labels":[],"label_agreement":null},{"id":"W2317555124","doi":"10.1190/segam2015-5932503.1","title":"Processing seismic data for high spatial resolution","year":2015,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Image resolution; Remote sensing; Geology; Artificial intelligence","score_opus":0.08120433493678399,"score_gpt":0.31698030117283116,"score_spread":0.23577596623604719,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2317555124","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07835478,0.00017923891,0.8945233,0.00040418626,0.00017253964,0.00026314825,0.0070382915,0.0104102725,0.00865418],"genre_scores_gemma":[0.16723776,0.00021494715,0.81850195,0.000132464,0.00014120663,0.00022763759,0.009664472,0.0006421012,0.0032374165],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993043,0.00005909342,0.00005447743,0.000121795834,0.00037712156,0.00008322596],"domain_scores_gemma":[0.9987,0.00020068424,0.00007969242,0.00046317244,0.00051542686,0.000041010175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053895486,0.000913016,0.0006464562,0.0016660462,0.00039167792,0.0014944047,0.00058696506,0.00056335016,0.010134917],"category_scores_gemma":[0.0025584628,0.00056315283,0.0006609859,0.0022419514,0.00025057324,0.00093562825,0.0011087735,0.00078748167,0.0053590396],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038481993,0.00016009144,0.0065477127,0.00042496194,0.00014890406,0.00055867067,0.0003456475,0.058001414,0.30907077,0.0062349867,0.02848658,0.58963543],"study_design_scores_gemma":[0.0001634027,0.0003694483,0.03114971,0.00010036016,0.00012206476,0.000727577,0.00060525036,0.5830968,0.26107734,0.021257028,0.1011458,0.0001852256],"about_ca_topic_score_codex":0.0014692834,"about_ca_topic_score_gemma":0.0021998754,"teacher_disagreement_score":0.010134917,"about_ca_system_score_codex":0.0002709807,"about_ca_system_score_gemma":0.0007922231,"threshold_uncertainty_score":0.033904612},"labels":[],"label_agreement":null},{"id":"W2318196097","doi":"10.1071/aseg2001ab003","title":"Estimating residual statics using prestack migration","year":2001,"lang":"en","type":"article","venue":"ASEG Extended Abstracts","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Statics; Prestack; Residual; Offset (computer science); Algorithm; Cross-correlation; Geology; Computer science; Mathematics; Statistics; Physics; Seismology","score_opus":0.032113842605664265,"score_gpt":0.30335792794119865,"score_spread":0.2712440853355344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2318196097","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09926436,0.00020711524,0.89450854,0.000043971315,0.00007631649,0.000041457275,0.0002803023,0.00257556,0.0030023262],"genre_scores_gemma":[0.3860765,0.00022064747,0.6072832,0.000028521039,0.00003611895,0.000066526874,0.0012357415,0.0005060048,0.0045466963],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997242,0.000025253608,0.000012017155,0.00007267129,0.00013357325,0.00003217915],"domain_scores_gemma":[0.9996741,0.000042720043,0.000048406255,0.000073118594,0.0001489811,0.000012805517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026982187,0.00075699814,0.0004979396,0.0015955558,0.0005094235,0.0006544699,0.00063148414,0.00047047937,0.001773114],"category_scores_gemma":[0.0012468095,0.00035975498,0.000354951,0.0014814474,0.00027875928,0.00095336506,0.00060248014,0.00052133435,0.0007664421],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014184239,0.000083817366,0.010915538,0.00013808452,0.000096515534,0.00019407758,0.00025251368,0.14041997,0.08619643,0.0059220786,0.0026988701,0.75294024],"study_design_scores_gemma":[0.000039555172,0.00014177605,0.020431241,0.00003743573,0.00006665155,0.0003375222,0.00021017625,0.8915462,0.065803215,0.006402636,0.014842496,0.00014098917],"about_ca_topic_score_codex":0.010089995,"about_ca_topic_score_gemma":0.018125756,"teacher_disagreement_score":0.010089995,"about_ca_system_score_codex":0.00038251228,"about_ca_system_score_gemma":0.001449039,"threshold_uncertainty_score":0.020062506},"labels":[],"label_agreement":null},{"id":"W2318573798","doi":"10.1061/9780784412480.052","title":"Condition Assessments Using Pipe Penetrating Radar: The Metro Wastewater Reclamation District, Denver, CO—Harvard Gulch Interceptor Case Study","year":2012,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dawson College","funders":"","keywords":"Ground-penetrating radar; Rebar; Land reclamation; Asset management; Radar; Pipeline transport; Engineering; Environmental science; Civil engineering; Structural engineering; Environmental engineering","score_opus":0.05227319296845835,"score_gpt":0.3594710456617844,"score_spread":0.30719785269332606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2318573798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9868983,0.00016160458,0.0014092318,0.00040531025,0.0000075290945,0.00018602647,0.00038929898,0.00008002594,0.010462773],"genre_scores_gemma":[0.991964,0.00018572416,0.001644991,0.000064622225,0.000006463735,0.000051475265,0.00028540113,0.0000132634195,0.0057840575],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991762,0.00021326145,0.000030254692,0.00012360189,0.0002581975,0.00019840292],"domain_scores_gemma":[0.99916947,0.00020956642,0.00009957494,0.00005473273,0.00032969585,0.0001369426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039838147,0.000493481,0.0003250002,0.00075007015,0.00206156,0.000989172,0.0009301601,0.001008651,0.001379492],"category_scores_gemma":[0.0008077945,0.00028864387,0.00015170648,0.0011863286,0.00048570693,0.00046138524,0.0006710425,0.00045733273,0.00023459527],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008905749,0.0024365557,0.6041261,0.00067503547,0.00025291555,0.05522941,0.013414886,0.10905863,0.033084385,0.004124802,0.021971634,0.15473504],"study_design_scores_gemma":[0.00023322624,0.0022579327,0.77074486,0.0001229527,0.00017377913,0.0064672255,0.062388603,0.08815038,0.021781832,0.00087967224,0.046611264,0.00018833476],"about_ca_topic_score_codex":0.44301394,"about_ca_topic_score_gemma":0.72359324,"teacher_disagreement_score":0.44301394,"about_ca_system_score_codex":0.0063944105,"about_ca_system_score_gemma":0.0029009487,"threshold_uncertainty_score":0.88087064},"labels":[],"label_agreement":null},{"id":"W2318810478","doi":"10.3997/2214-4609-pdb.329.112","title":"Characterisation of Buried Subaqueous Outwash Structure by Integration of Borehole and Geophysical Data","year":2012,"lang":"en","type":"article","venue":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2012","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Outwash plain; Borehole; Christian ministry; Geology; Groundwater; Archaeology; Geography; Geomorphology; Paleontology; Geotechnical engineering","score_opus":0.008628465119517117,"score_gpt":0.20116241236423354,"score_spread":0.19253394724471642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2318810478","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98744863,0.00014360234,0.008288156,0.000027523232,0.0000097363645,0.00006184677,0.0019752774,0.00039734936,0.0016479132],"genre_scores_gemma":[0.9888108,0.00010690083,0.0076903263,0.000008804108,0.0000056916715,0.000025658937,0.0026427936,0.000028628434,0.00068053184],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998159,0.000011350316,0.000012688315,0.00004306638,0.00006781732,0.000049303195],"domain_scores_gemma":[0.9996191,0.000037893846,0.00005044725,0.000053459942,0.00019704785,0.000042045507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024306317,0.0005730546,0.00036755836,0.0027989405,0.00028709183,0.00082866685,0.00074094924,0.00044149382,0.00084191235],"category_scores_gemma":[0.00062023103,0.00023958406,0.00028668347,0.0019256868,0.00022241657,0.0005145842,0.00055725535,0.00025450776,0.000394526],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028876014,0.00040250662,0.7130099,0.00018669057,0.00015010883,0.0010401846,0.0018738096,0.023520237,0.121264294,0.0004507693,0.0012922586,0.1365204],"study_design_scores_gemma":[0.000033843146,0.00009518094,0.90557826,0.000038874838,0.000060612605,0.0001614292,0.0012477691,0.083151676,0.0067913854,0.00022557242,0.0025715183,0.000043865715],"about_ca_topic_score_codex":0.10491378,"about_ca_topic_score_gemma":0.21578799,"teacher_disagreement_score":0.10491378,"about_ca_system_score_codex":0.00051115215,"about_ca_system_score_gemma":0.0010601226,"threshold_uncertainty_score":0.20860618},"labels":[],"label_agreement":null},{"id":"W2319102574","doi":"10.2118/175366-ms","title":"InSar Monitoring In Heavy Oil Operations","year":2015,"lang":"en","type":"article","venue":"SPE Kuwait Oil and Gas Show and Conference","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Interferometric synthetic aperture radar; Caprock; Synthetic aperture radar; Steam injection; Petroleum engineering; Remote sensing; Flooding (psychology); Environmental science; Geology","score_opus":0.043868774207002866,"score_gpt":0.2692802019799463,"score_spread":0.22541142777294343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2319102574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9595899,0.0010143725,0.02435407,0.0001931313,0.000037338654,0.000052056283,0.0013273555,0.0005530079,0.0128788585],"genre_scores_gemma":[0.9806702,0.00047733207,0.015337282,0.00003089755,0.00001739435,0.000010695887,0.0007374315,0.000019377872,0.0026992948],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9998016,0.000038676277,0.00001286011,0.000038976978,0.000076948505,0.000030968622],"domain_scores_gemma":[0.9997875,0.00002706601,0.0000599358,0.000021398893,0.000086609165,0.000017495408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029963176,0.00031402396,0.00016643554,0.0010007999,0.0003519932,0.0004493634,0.00022861345,0.00028465688,0.00064936554],"category_scores_gemma":[0.00020740398,0.00011150541,0.00010006123,0.0012446719,0.00022278332,0.0002968085,0.00036298553,0.00022478362,0.00039705486],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013497198,0.00027203147,0.18705776,0.00037997327,0.00011470977,0.0012694859,0.00075278955,0.109345436,0.26701912,0.002183431,0.0061696013,0.42408597],"study_design_scores_gemma":[0.000055020657,0.00044274493,0.38355014,0.00010357857,0.0001368913,0.0005374613,0.0011211204,0.35396832,0.22519903,0.0010375252,0.033753045,0.00009511378],"about_ca_topic_score_codex":0.017211461,"about_ca_topic_score_gemma":0.025951006,"teacher_disagreement_score":0.017211461,"about_ca_system_score_codex":0.00042509526,"about_ca_system_score_gemma":0.0003787148,"threshold_uncertainty_score":0.034222543},"labels":[],"label_agreement":null},{"id":"W2321683188","doi":"10.1109/icgpr.2014.6970448","title":"Pipe Penetrating Radar inspection of large diameter underground pipes","year":2014,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Ground-penetrating radar; Radar; Water pipe; Sinkhole; Geology; Bedding; Corrosion; Geotechnical engineering; Marine engineering; Forensic engineering; Materials science; Engineering; Composite material; Mechanical engineering; Aerospace engineering","score_opus":0.009396382684524581,"score_gpt":0.24347286949569402,"score_spread":0.23407648681116944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2321683188","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9329873,0.00060522085,0.05893054,0.000076963835,0.000016112586,0.00015760539,0.00035555186,0.00088118424,0.005989462],"genre_scores_gemma":[0.9684885,0.0003637358,0.027506063,0.000042011783,0.000008083226,0.000019233185,0.00013507667,0.00003414905,0.0034030664],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998159,0.000022853761,0.000007063902,0.00003256549,0.00010256577,0.000019068064],"domain_scores_gemma":[0.99955565,0.000099987956,0.00008369729,0.00002918556,0.00020319378,0.000028291905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021877313,0.00030054472,0.00022300796,0.0009605345,0.00015285489,0.00019479421,0.000191397,0.0002631347,0.00078115426],"category_scores_gemma":[0.00045554645,0.00020024646,0.00008530061,0.00046467458,0.0001634912,0.000261425,0.0002785417,0.0002276946,0.00026281952],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001242367,0.000029255441,0.010708628,0.0001213589,0.000005673481,0.001096038,0.00024342259,0.0016376764,0.9482201,0.00009544947,0.0003981936,0.037320025],"study_design_scores_gemma":[0.000042992688,0.0016476798,0.3738123,0.000058962145,0.000046166275,0.00793802,0.00074111385,0.029574806,0.578021,0.00030521103,0.0077613825,0.000050458348],"about_ca_topic_score_codex":0.002118654,"about_ca_topic_score_gemma":0.0037090057,"teacher_disagreement_score":0.002118654,"about_ca_system_score_codex":0.00017263937,"about_ca_system_score_gemma":0.00014991287,"threshold_uncertainty_score":0.004212618},"labels":[],"label_agreement":null},{"id":"W2321903760","doi":"10.1061/40802(189)130","title":"Residual Soil Hydraulic Conductivity Determination Using Field and Laboratory Tests","year":2006,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Permeameter; Hydraulic conductivity; Soil water; Residual; Geotechnical engineering; Soil test; Field (mathematics); Soil science; Infiltrometer; Environmental science; Geology; Mathematics","score_opus":0.014370130510016104,"score_gpt":0.2634218953085288,"score_spread":0.24905176479851268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2321903760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97925514,0.00045415157,0.015971215,0.000043006283,0.000022540202,0.0000663672,0.000552544,0.00032444973,0.003310495],"genre_scores_gemma":[0.991227,0.0002496997,0.0067142947,0.000030292787,0.000009425877,0.000053840333,0.00063242216,0.00002398389,0.001059157],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990181,0.00015203306,0.0000826442,0.00025845325,0.00041199214,0.0000768229],"domain_scores_gemma":[0.99864453,0.00035466132,0.0002581465,0.00014084566,0.00052111037,0.00008076231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075365946,0.00042947347,0.00042264868,0.00090077065,0.00034506776,0.0005347209,0.0006573529,0.00046282276,0.0011471813],"category_scores_gemma":[0.0014372207,0.00012790362,0.00018697606,0.0006567198,0.0004918487,0.00071510504,0.0003292456,0.00035264314,0.000541222],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004532478,0.00025207826,0.01996031,0.00031004674,0.000044085125,0.000118138596,0.00019911291,0.0025169489,0.94035554,0.00032660793,0.0004036646,0.035060227],"study_design_scores_gemma":[0.000095694886,0.0032319117,0.050079323,0.000060505456,0.000094749914,0.0005805824,0.00053046,0.007126805,0.9328702,0.00054178253,0.0046964884,0.00009147394],"about_ca_topic_score_codex":0.0017897058,"about_ca_topic_score_gemma":0.0032626356,"teacher_disagreement_score":0.0017897058,"about_ca_system_score_codex":0.00043872258,"about_ca_system_score_gemma":0.00045155204,"threshold_uncertainty_score":0.0039857626},"labels":[],"label_agreement":null},{"id":"W2322827327","doi":"10.1190/segam2015-5816603.1","title":"Modeling radio imaging (RIM) data with the Comsol RF module","year":2015,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Radio frequency; Computer science; Telecommunications","score_opus":0.0631586669560778,"score_gpt":0.28413759927923565,"score_spread":0.22097893232315785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2322827327","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022010077,0.00007064513,0.94397175,0.00019048575,0.00009377016,0.00016288277,0.0065930076,0.020555712,0.0063517084],"genre_scores_gemma":[0.18784349,0.00019263751,0.78623784,0.0002349664,0.000032465105,0.0009046145,0.01139731,0.005407246,0.0077495524],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996779,0.00005911591,0.000033829157,0.000060365688,0.00014199737,0.000026793217],"domain_scores_gemma":[0.99922323,0.0002486166,0.00007305537,0.00016849938,0.0002668526,0.00001980256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086530345,0.0007086286,0.00043929045,0.00067822373,0.0002845003,0.0007754291,0.0011376061,0.00058690744,0.016865902],"category_scores_gemma":[0.0017382586,0.00036458817,0.0007346573,0.0008281975,0.00021064251,0.00046814038,0.0005158547,0.00075005734,0.004747315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028607395,0.0002648875,0.004819113,0.001326656,0.00021643023,0.000645474,0.0010135008,0.46220934,0.15469192,0.017178874,0.07136942,0.28597832],"study_design_scores_gemma":[0.000055410303,0.00008437081,0.0018927242,0.000047551413,0.000036399662,0.0002760991,0.00012839005,0.8561093,0.06719545,0.004027318,0.07006795,0.000078972334],"about_ca_topic_score_codex":0.0017126309,"about_ca_topic_score_gemma":0.00267773,"teacher_disagreement_score":0.016865902,"about_ca_system_score_codex":0.00029332278,"about_ca_system_score_gemma":0.00081435265,"threshold_uncertainty_score":0.056422114},"labels":[],"label_agreement":null},{"id":"W2323628445","doi":"10.1139/l2012-061","title":"Structural field evaluation of pilot crumb rubber pavement test sections in Saskatchewan","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Ministry of Natural Resources and Forestry; University of Saskatchewan","funders":"","keywords":"Crumb rubber; Subbase; Natural rubber; Geotechnical engineering; Asphalt; Hash-based message authentication code; Asphalt pavement; Materials science; Environmental science; Composite material; Engineering","score_opus":0.024601594690479244,"score_gpt":0.24760195230778892,"score_spread":0.22300035761730969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2323628445","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988877,0.000012673634,0.00015630675,0.000008542254,0.0000014297149,0.000040813185,0.00012778403,0.000009028823,0.00075568835],"genre_scores_gemma":[0.99692875,0.00005521552,0.0008851798,0.000019441582,9.4668553e-7,0.000037914455,0.00036050723,0.000004837293,0.0017071719],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99960786,0.00003847111,0.000018541385,0.00009037492,0.00016112592,0.000083575964],"domain_scores_gemma":[0.99908507,0.00008578908,0.00007555454,0.000068356334,0.00057068444,0.00011455919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005001291,0.0005285003,0.00031105382,0.000653638,0.0010008638,0.000389374,0.0007203062,0.00044316673,0.0012885113],"category_scores_gemma":[0.00051663973,0.00038017816,0.0002990778,0.00084423163,0.00060845976,0.00027180818,0.00040855652,0.00043832857,0.00037470384],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015192059,0.0013562271,0.2364111,0.00020010017,0.00012427843,0.0019501493,0.0029339616,0.007650727,0.7200242,0.0002393463,0.0005364854,0.027054178],"study_design_scores_gemma":[0.0000855828,0.005407315,0.8669534,0.00002980257,0.00010912696,0.00032747813,0.0045974785,0.005412447,0.1142472,0.00006478193,0.0026999793,0.0000653813],"about_ca_topic_score_codex":0.4642596,"about_ca_topic_score_gemma":0.81270427,"teacher_disagreement_score":0.4642596,"about_ca_system_score_codex":0.0035429902,"about_ca_system_score_gemma":0.003560751,"threshold_uncertainty_score":0.9231146},"labels":[],"label_agreement":null},{"id":"W2324825957","doi":"10.1557/proc-807-509","title":"Geophysical Applications for Deep Geological Repository Studies in Plutonic Rocks of Canada","year":2003,"lang":"en","type":"article","venue":"MRS Proceedings","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Geoscience BC; Atomic Energy (Canada); Research Manitoba","funders":"","keywords":"Batholith; Borehole; Geology; Pluton; Geophysics; Test site; Mining engineering; Seismology; Geotechnical engineering; Tectonics","score_opus":0.01892181290182897,"score_gpt":0.2608397257123701,"score_spread":0.2419179128105411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2324825957","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68565166,0.0067063193,0.16369687,0.011134419,0.00043320959,0.00066325953,0.014178593,0.0057365773,0.11179915],"genre_scores_gemma":[0.84962046,0.0039424235,0.11749755,0.0002297123,0.000042591615,0.000097806085,0.0015925893,0.0002724456,0.026704298],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9997135,0.000032657255,0.000015131288,0.000035035086,0.00015485648,0.00004885213],"domain_scores_gemma":[0.9989536,0.00019217594,0.00004518974,0.00006890606,0.0006334725,0.00010664921],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005917171,0.0004920137,0.0002880322,0.0016870712,0.002007089,0.001908881,0.0010111415,0.0005426632,0.005296071],"category_scores_gemma":[0.0027946504,0.00020450067,0.00027626852,0.0045145582,0.0004972156,0.00046104103,0.0014678955,0.00047307153,0.0004592175],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020381328,0.000088390094,0.21907564,0.000566484,0.00010268793,0.0011994102,0.0042990576,0.06983853,0.019242635,0.014356826,0.02502871,0.6459978],"study_design_scores_gemma":[0.00015382985,0.0001243268,0.3645441,0.0004835468,0.0003073121,0.0013520037,0.020477358,0.25055668,0.030001493,0.025039578,0.30677474,0.00018503402],"about_ca_topic_score_codex":0.9291301,"about_ca_topic_score_gemma":0.9728271,"teacher_disagreement_score":0.07086992,"about_ca_system_score_codex":0.006953347,"about_ca_system_score_gemma":0.018194772,"threshold_uncertainty_score":0.14257455},"labels":[],"label_agreement":null},{"id":"W2325726418","doi":"10.1190/tle32030338.1","title":"Student Zone","year":2013,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta; University of Toronto","funders":"","keywords":"Peninsula; Field trip; Miller; Drill; Geological survey; Geology; Foundation (evidence); Archaeology; Oil shale; TRIPS architecture; Geography; Hydrology (agriculture); Engineering; Geophysics; Geotechnical engineering","score_opus":0.01824092744621647,"score_gpt":0.27790687279539117,"score_spread":0.2596659453491747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2325726418","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.095307976,0.0028416852,0.001845423,0.00867121,0.0032063138,0.00091502466,0.017090457,0.0013940568,0.86872774],"genre_scores_gemma":[0.082001984,0.00054126553,0.00059753325,0.0009927348,0.00020582209,0.00022953186,0.0028353108,0.000117176845,0.9124787],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996625,0.00003133535,0.000012065838,0.000060805778,0.000069412315,0.00016395452],"domain_scores_gemma":[0.99917006,0.000019977793,0.00002657658,0.000027012999,0.0001371276,0.0006192835],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004277146,0.00057240634,0.00033960745,0.0005660121,0.00496314,0.0021454378,0.0009893879,0.0009148825,0.3797546],"category_scores_gemma":[0.0006845676,0.0002451955,0.0002142382,0.0005735666,0.00046226065,0.0006050821,0.003755139,0.00085376744,0.14037105],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073128333,0.00047631466,0.024292966,0.00028370635,0.0000076145275,0.00083276106,0.0064956737,0.00018300662,0.0029657183,0.017159773,0.8128542,0.13371699],"study_design_scores_gemma":[0.000014443685,0.00010092078,0.008327282,0.000040664883,0.0000018779398,0.000117880365,0.0028394258,0.00006524658,0.00030856408,0.00038360606,0.98779184,0.000008193373],"about_ca_topic_score_codex":0.034948166,"about_ca_topic_score_gemma":0.14837451,"teacher_disagreement_score":0.3797546,"about_ca_system_score_codex":0.0025421605,"about_ca_system_score_gemma":0.0061155893,"threshold_uncertainty_score":0.88470477},"labels":[],"label_agreement":null},{"id":"W2326314382","doi":"10.1107/s0108767308080355","title":"<i>LaueGUI</i>– an open source Matlab tool for online inspection of time-resolved Laue diffraction patterns","year":2008,"lang":"en","type":"article","venue":"Acta Crystallographica Section A Foundations of Crystallography","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"U.S. Department of Energy","keywords":"Open source; MATLAB; Diffraction; Computer science; Optics; Computer graphics (images); Physics; Software; Operating system","score_opus":0.02116906304692971,"score_gpt":0.27370119542482246,"score_spread":0.25253213237789274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2326314382","genre_codex":"software","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":"software","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0039157113,0.0005822695,0.36898655,0.0005082984,0.000544082,0.0002843589,0.03563849,0.57834476,0.011195445],"genre_scores_gemma":[0.03638956,0.001115224,0.5950898,0.001026259,0.00028703996,0.0020799027,0.066189975,0.27308887,0.024733284],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990734,0.0001456757,0.00010106938,0.00020760292,0.00039036068,0.000081837316],"domain_scores_gemma":[0.9977545,0.00087847275,0.00031354546,0.0002864215,0.00061502494,0.00015200058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017239173,0.0022785845,0.0018149172,0.0022685262,0.00070477393,0.00152276,0.0034368427,0.0007443768,0.19622588],"category_scores_gemma":[0.005201323,0.00088847184,0.0010663794,0.0015994856,0.0006693026,0.0020540182,0.0018883313,0.0021386673,0.088264346],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055549765,0.00010998713,0.0013672978,0.0022602282,0.00018204194,0.0008633734,0.00041158966,0.0028371466,0.029547391,0.007493371,0.7733826,0.18098947],"study_design_scores_gemma":[0.00042273343,0.00026069532,0.005813444,0.000822985,0.000114815,0.0020477797,0.00014062654,0.092125714,0.10739911,0.01651258,0.7739563,0.0003832503],"about_ca_topic_score_codex":0.0011463838,"about_ca_topic_score_gemma":0.0017472269,"teacher_disagreement_score":0.19622588,"about_ca_system_score_codex":0.0008355615,"about_ca_system_score_gemma":0.0011232959,"threshold_uncertainty_score":0.656441},"labels":[],"label_agreement":null},{"id":"W2326404550","doi":"10.1071/aseg2012ab310","title":"3D Seismic Surveying in Kevitsa Open Pit Mine","year":2012,"lang":"en","type":"article","venue":"ASEG Extended Abstracts","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"First Quantum Minerals (Canada)","funders":"","keywords":"Geology; Overburden; Seismology; Mining engineering; Fault (geology); Data processing; Geologic map; Geomorphology; Database; Computer science","score_opus":0.03562574402189217,"score_gpt":0.30446091470559594,"score_spread":0.2688351706837038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2326404550","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99738735,0.00004729019,0.00079366734,0.000027153257,0.0000028670815,0.00001289067,0.00032088763,0.00002485801,0.0013830198],"genre_scores_gemma":[0.99404436,0.00007663429,0.0037706622,0.000011299808,0.0000039416677,0.000019736122,0.00060287426,0.000009383454,0.0014610764],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998037,0.000012271848,0.000012289298,0.000050612136,0.00008088953,0.00004024099],"domain_scores_gemma":[0.999869,0.000016837806,0.000019954836,0.000017146243,0.000048147667,0.00002896047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001561882,0.0002266441,0.00032451598,0.0011594738,0.0006534054,0.0004977408,0.00039651676,0.0006886015,0.000874431],"category_scores_gemma":[0.0002514017,0.00034627705,0.00021818547,0.0012700417,0.00031023702,0.00029652903,0.00070292666,0.00025698758,0.00037052805],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092832895,0.00040514593,0.5230925,0.00041800665,0.00014528168,0.010543577,0.0140636945,0.02319893,0.27153388,0.000743152,0.0014546795,0.15347287],"study_design_scores_gemma":[0.000049487902,0.00024239364,0.9495379,0.000047627327,0.000040748535,0.0017362406,0.006672838,0.023752477,0.01097835,0.0004237291,0.0064611468,0.000057091343],"about_ca_topic_score_codex":0.012254497,"about_ca_topic_score_gemma":0.040666062,"teacher_disagreement_score":0.012254497,"about_ca_system_score_codex":0.00033342146,"about_ca_system_score_gemma":0.00053583545,"threshold_uncertainty_score":0.024366379},"labels":[],"label_agreement":null},{"id":"W2327465617","doi":"10.3997/2214-4609-pdb.190.gwt02","title":"High Resolution Seismic Reflection Survey For Groundwater Contaminant Studies, C.F.B. Borden, Ontario, Canada","year":2003,"lang":"en","type":"article","venue":"16th EEGS Symposium on the Application of Geophysics to Engineering and Environmental Problems","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Aquifer; Bedrock; Groundwater; Water table; Borehole; Groundwater flow; Water well; Silt; Geomorphology; Hydrology (agriculture); Geotechnical engineering","score_opus":0.013335890324723501,"score_gpt":0.20831634457619613,"score_spread":0.19498045425147265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2327465617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46461144,0.038424842,0.015433046,0.021493787,0.0008051183,0.0015059323,0.08936734,0.0013867657,0.36697173],"genre_scores_gemma":[0.4636431,0.012419967,0.019724514,0.0012112983,0.00007524196,0.00021057822,0.015285858,0.00032380724,0.48710558],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9992931,0.000036215744,0.000021501077,0.00010375921,0.00043598478,0.000109522916],"domain_scores_gemma":[0.99876654,0.000038290185,0.000055124878,0.000022248114,0.0009803572,0.00013748855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005174093,0.0005697414,0.00026607854,0.0017686371,0.003913526,0.0011522647,0.0007132728,0.00047203345,0.014924945],"category_scores_gemma":[0.0006720927,0.0004315274,0.00021648646,0.0021619867,0.00047661216,0.00035435782,0.00049946626,0.00040838032,0.0030791042],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064779574,0.00021094202,0.18251215,0.0011658778,0.00010642487,0.0018302812,0.003888472,0.0036388452,0.04052199,0.0049830903,0.26754707,0.49294704],"study_design_scores_gemma":[0.0000551586,0.00018002246,0.58271885,0.00025637753,0.000039856837,0.00036458636,0.0030548268,0.0031289181,0.0034163026,0.0003004307,0.40639538,0.000089234774],"about_ca_topic_score_codex":0.992062,"about_ca_topic_score_gemma":0.99818546,"teacher_disagreement_score":0.02571995,"about_ca_system_score_codex":0.02571995,"about_ca_system_score_gemma":0.04129979,"threshold_uncertainty_score":0.18661213},"labels":[],"label_agreement":null},{"id":"W2327561080","doi":"10.3997/2214-4609.201414190","title":"A GPR Study in the Roman Villa of Tourega, Portugal","year":2015,"lang":"en","type":"article","venue":"Proceedings","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; Nutrasource","funders":"","keywords":"Ground-penetrating radar; Test site; Geology; Radar; Remote sensing; Software; Work (physics); Computer science; Engineering; Mining engineering; Telecommunications","score_opus":0.03839569640273005,"score_gpt":0.2800217620682065,"score_spread":0.24162606566547645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2327561080","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99409544,0.0001313796,0.00015067775,0.00003899409,0.0000071965464,0.000022807546,0.00020932504,0.000010608385,0.0053334814],"genre_scores_gemma":[0.9964064,0.00013125285,0.00035797508,0.00002471239,0.0000044880694,0.000009702109,0.00020930344,0.000007296989,0.0028487956],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998441,0.000026294902,0.0000045468432,0.00003314304,0.000026523814,0.000065336775],"domain_scores_gemma":[0.9999213,0.000017136123,0.000011832841,0.000011035354,0.000018875044,0.000019862484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021682338,0.0002127242,0.00034584766,0.000501148,0.0008902221,0.000751117,0.00033953818,0.0005252002,0.0013707862],"category_scores_gemma":[0.00031613358,0.0001846574,0.00026699185,0.0006689749,0.0006201873,0.00020648174,0.0005063767,0.00022878854,0.0003595117],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028970507,0.0012834091,0.63700885,0.0012349956,0.00032162908,0.07904267,0.038989954,0.009245919,0.10659436,0.004982769,0.008863965,0.10953438],"study_design_scores_gemma":[0.00005231513,0.00053064094,0.9514551,0.00006795813,0.000034251036,0.0049474416,0.018214116,0.0016843139,0.001893158,0.00014326724,0.020947043,0.000030331805],"about_ca_topic_score_codex":0.041108638,"about_ca_topic_score_gemma":0.064538024,"teacher_disagreement_score":0.041108638,"about_ca_system_score_codex":0.00050129637,"about_ca_system_score_gemma":0.000642559,"threshold_uncertainty_score":0.08173871},"labels":[],"label_agreement":null},{"id":"W2327886955","doi":"10.1190/1.3627849","title":"A hexagonal finite difference mesh for 2D TTI RTM","year":2011,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acceleware (Canada)","funders":"","keywords":"Hexagonal crystal system; Computer science; Materials science; Finite difference method; Mathematics; Crystallography; Mathematical analysis; Chemistry","score_opus":0.06146337131825871,"score_gpt":0.2597776967220166,"score_spread":0.1983143254037579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2327886955","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0134198535,0.000069186055,0.97909147,0.00008524424,0.00010053943,0.00011995207,0.00027372438,0.0006246003,0.00621544],"genre_scores_gemma":[0.1610813,0.00010824144,0.834174,0.000069429676,0.000019831134,0.00042671076,0.0004836867,0.00016871742,0.0034681638],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967444,0.00008566011,0.000033656946,0.00003447679,0.00013982023,0.000032052525],"domain_scores_gemma":[0.99960834,0.00013648541,0.00002787356,0.00010183559,0.000104549435,0.000020972937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036143736,0.00029194733,0.0005056298,0.0003527682,0.00037660272,0.0006914499,0.001022736,0.0007614111,0.0060366197],"category_scores_gemma":[0.0014512133,0.00026361455,0.0005523307,0.00036276295,0.00032010474,0.000506514,0.0007397312,0.0005640214,0.0015609359],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017524275,0.00015346744,0.0025933434,0.00024704824,0.00003083978,0.00025441125,0.00024045217,0.7826505,0.023709038,0.05591323,0.005878659,0.1281538],"study_design_scores_gemma":[0.000015915135,0.00003690804,0.00019408696,0.000013664679,0.0000037899804,0.000057882764,0.00002390437,0.9830064,0.003603621,0.0024984141,0.010532162,0.00001323493],"about_ca_topic_score_codex":0.0019912168,"about_ca_topic_score_gemma":0.0021430503,"teacher_disagreement_score":0.0060366197,"about_ca_system_score_codex":0.0003722823,"about_ca_system_score_gemma":0.0006192187,"threshold_uncertainty_score":0.02019447},"labels":[],"label_agreement":null},{"id":"W2330819216","doi":"10.1061/40889(201)199","title":"Quebec Bridge Inspection Using Common Nondestructive and Destructive Testing Techniques","year":2006,"lang":"en","type":"article","venue":"Structures Congress 2006","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nondestructive testing; Hammer; Schmidt hammer; Pier; Destructive testing; Ultrasonic testing; Structural engineering; Engineering; Ultrasonic sensor; Acoustics; Compressive strength; Materials testing; Materials science","score_opus":0.01701422229315223,"score_gpt":0.26704185793321406,"score_spread":0.2500276356400618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2330819216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71742547,0.0011738657,0.106352724,0.0006817715,0.000102051825,0.0006948311,0.004867977,0.0016287754,0.16707258],"genre_scores_gemma":[0.8382356,0.00052705983,0.07766067,0.00019348477,0.000013313094,0.00025226703,0.0020408079,0.000086005115,0.080990754],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9991315,0.00003399574,0.000012087834,0.00015762313,0.00060180726,0.00006307719],"domain_scores_gemma":[0.9994209,0.000035660123,0.00004480073,0.00004318543,0.00042328486,0.00003214951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045412587,0.00053087017,0.00021096088,0.0021667702,0.0013791425,0.0007147797,0.00057024613,0.00045546872,0.0067285574],"category_scores_gemma":[0.00055538944,0.00028112184,0.00019646548,0.0013347899,0.00052404683,0.0003220224,0.00055708596,0.00031897606,0.0007048106],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023341652,0.00026742913,0.13170758,0.00025803683,0.000073658055,0.0014230626,0.001454786,0.02005339,0.28163257,0.0047865445,0.027461948,0.5306475],"study_design_scores_gemma":[0.000084421146,0.000322381,0.7337492,0.00010015664,0.00005609108,0.0018540294,0.001265894,0.055986084,0.10627569,0.0004533546,0.09968441,0.00016828519],"about_ca_topic_score_codex":0.7084043,"about_ca_topic_score_gemma":0.9363698,"teacher_disagreement_score":0.2915957,"about_ca_system_score_codex":0.004565984,"about_ca_system_score_gemma":0.0032325396,"threshold_uncertainty_score":0.58662593},"labels":[],"label_agreement":null},{"id":"W2330973801","doi":"10.1109/icgpr.2014.6970460","title":"Condition assessment of critical infrastructure with GPR","year":2014,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Ground-penetrating radar; Water pipe; Pipeline transport; Civil engineering; Geology; Radar; Engineering; Forensic engineering; Geotechnical engineering; Environmental science","score_opus":0.00414427968987944,"score_gpt":0.2900285455174925,"score_spread":0.28588426582761306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2330973801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85746235,0.00028421349,0.12964086,0.00014798023,0.000025619986,0.00017083924,0.00048250097,0.0010341957,0.010751411],"genre_scores_gemma":[0.9843343,0.00013670152,0.014671111,0.000016655114,0.000005834932,0.0000145916365,0.00012188914,0.000014000879,0.0006847617],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999382,0.00013629039,0.000031314394,0.000076844066,0.00027159203,0.000101831276],"domain_scores_gemma":[0.99960405,0.00007241799,0.00007879528,0.000046743025,0.00016765104,0.000030445286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043475523,0.000423688,0.00021988123,0.0015437279,0.00022732692,0.0006246081,0.0003660945,0.0005009579,0.001124856],"category_scores_gemma":[0.0012374099,0.00018089643,0.00011543103,0.0007939129,0.00035336983,0.0006567395,0.0008531766,0.00018468821,0.00034427393],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056860555,0.00017477701,0.14468886,0.00045798326,0.000058832044,0.002588663,0.0014725485,0.075854406,0.27335033,0.0027564797,0.0034640206,0.49456444],"study_design_scores_gemma":[0.000058368252,0.0018524034,0.38316596,0.00018511461,0.0001473659,0.0046124593,0.005877684,0.40086207,0.1782159,0.004643958,0.020218076,0.00016069491],"about_ca_topic_score_codex":0.0039670495,"about_ca_topic_score_gemma":0.005596797,"teacher_disagreement_score":0.0039670495,"about_ca_system_score_codex":0.0004667653,"about_ca_system_score_gemma":0.0003014567,"threshold_uncertainty_score":0.0078879},"labels":[],"label_agreement":null},{"id":"W2331635076","doi":"10.1190/1.3513664","title":"Electromagnetic scattering by thin resistive bodies","year":2010,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Resistive touchscreen; Scattering; Materials science; Optics; Physics; Electrical engineering; Engineering","score_opus":0.0046635490781875835,"score_gpt":0.22269093419888922,"score_spread":0.21802738512070163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2331635076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7628075,0.00023432792,0.20859738,0.0001880403,0.00006102814,0.000056569617,0.00008699769,0.0002813931,0.02768682],"genre_scores_gemma":[0.9899187,0.00015580318,0.0059575653,0.000028810744,0.000015118073,0.000015735624,0.000047390484,0.000018843424,0.0038421398],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983096,0.00004075401,0.0000055944793,0.000027196016,0.00006442465,0.00003101073],"domain_scores_gemma":[0.99971265,0.00012882403,0.00005301944,0.000040442763,0.000043839325,0.000021169837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021461888,0.000469241,0.00038313906,0.00032928327,0.00027655126,0.0008212704,0.0004577946,0.00065172615,0.0011155121],"category_scores_gemma":[0.00087279914,0.0002992629,0.00033976583,0.00031057143,0.00083307823,0.00062376837,0.00074578414,0.0003024199,0.00019710399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013358213,0.000036398495,0.0013250625,0.000053043408,0.000036433154,0.00058937346,0.00020750762,0.8913991,0.07957385,0.019453945,0.00029795276,0.006893793],"study_design_scores_gemma":[0.000024903666,0.000055334403,0.0008166435,0.0000082378965,0.000011357266,0.00010023131,0.000057912803,0.98189616,0.011040306,0.0054323226,0.0005375958,0.000018894681],"about_ca_topic_score_codex":0.002083282,"about_ca_topic_score_gemma":0.0009148656,"teacher_disagreement_score":0.002083282,"about_ca_system_score_codex":0.00041549615,"about_ca_system_score_gemma":0.00024464834,"threshold_uncertainty_score":0.004142344},"labels":[],"label_agreement":null},{"id":"W2332757466","doi":"10.1680/jphmg.15.00006","title":"Physical modelling of oil sands tailings consolidation","year":2015,"lang":"en","type":"article","venue":"International Journal of Physical Modelling in Geotechnics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta; Coanda Research and Development Corporation (Canada)","funders":"","keywords":"Centrifuge; Consolidation (business); Geotechnical engineering; Tailings; Oil sands; Slurry; Geology; Pore water pressure; Engineering; Materials science; Asphalt; Composite material","score_opus":0.04636137847237536,"score_gpt":0.2957047354558215,"score_spread":0.24934335698344612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2332757466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8555706,0.00040342353,0.11245466,0.0003114205,0.00005524004,0.00018135415,0.000720333,0.00045706308,0.029845938],"genre_scores_gemma":[0.99227107,0.00020515654,0.0029203568,0.000018610055,0.0000075168555,0.000064219545,0.00014664448,0.000033119773,0.0043332614],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998203,0.000033965687,0.000014913985,0.000033998287,0.000058750164,0.000038084774],"domain_scores_gemma":[0.99979013,0.00007799273,0.000037595455,0.000029274568,0.00004457823,0.00002045018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018368138,0.00054227386,0.00050836627,0.00043822493,0.0004191162,0.0015074743,0.0011156162,0.0013755104,0.002087113],"category_scores_gemma":[0.0006482018,0.00037053652,0.00059658004,0.00053316,0.0010401481,0.00089283416,0.00057652435,0.0004902565,0.00033077624],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014569634,0.000023715205,0.0007459087,0.000011752548,0.000005328657,0.000062746134,0.000018409139,0.99400324,0.0027725531,0.0011763823,0.000044976394,0.0011204749],"study_design_scores_gemma":[0.000008532849,0.000020201172,0.0006891626,0.0000026681255,0.000004056674,0.000018055687,0.000016309838,0.9977469,0.00085081503,0.0003547772,0.00028309054,0.000005399001],"about_ca_topic_score_codex":0.024635253,"about_ca_topic_score_gemma":0.011112713,"teacher_disagreement_score":0.024635253,"about_ca_system_score_codex":0.0012079196,"about_ca_system_score_gemma":0.0012030613,"threshold_uncertainty_score":0.048983753},"labels":[],"label_agreement":null},{"id":"W2333838238","doi":"10.1190/segam2014-0133.1","title":"A multiple transmitter and receiver electromagnetic system for improved target detection","year":2014,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Transmitter; Computer science; Electronic engineering; Electrical engineering; Telecommunications; Engineering","score_opus":0.004211971536140985,"score_gpt":0.18715344359019884,"score_spread":0.18294147205405786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2333838238","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06736542,0.0002827946,0.92329514,0.00014202361,0.00022180295,0.00019916998,0.0008560229,0.0040342584,0.0036033466],"genre_scores_gemma":[0.1072991,0.000092721464,0.8875053,0.00014648236,0.00007371779,0.0001452655,0.0009652386,0.0001197285,0.0036523715],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99881244,0.00027247984,0.000051160405,0.00031764258,0.00047602566,0.00007016901],"domain_scores_gemma":[0.9990741,0.00020478758,0.00008645422,0.00028454507,0.00030441352,0.000045648812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011526956,0.00058301864,0.00075612834,0.0009024479,0.00033329148,0.00071519363,0.0008838624,0.0008787698,0.005187788],"category_scores_gemma":[0.0014834292,0.0004462324,0.00047636149,0.0019034848,0.00017605083,0.0011161631,0.0010650727,0.0008196563,0.003006196],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084492716,0.00038479725,0.005793914,0.0003631137,0.00013324758,0.00025191376,0.00017817423,0.0122088995,0.41277176,0.0038111955,0.006004882,0.55725306],"study_design_scores_gemma":[0.00036136803,0.0027290022,0.034846257,0.00010186314,0.0003073039,0.0027612695,0.000107982516,0.4767283,0.37674478,0.0031651093,0.10179427,0.00035266185],"about_ca_topic_score_codex":0.00061296637,"about_ca_topic_score_gemma":0.0021165502,"teacher_disagreement_score":0.005187788,"about_ca_system_score_codex":0.00028631117,"about_ca_system_score_gemma":0.00048516717,"threshold_uncertainty_score":0.017354846},"labels":[],"label_agreement":null},{"id":"W2335465844","doi":"10.1115/ipc2014-33661","title":"Formulation and Analysis of the Probability of Detection and False Detection for Subsea Leak Detection Systems","year":2014,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Intecsea (Canada); Memorial University of Newfoundland","funders":"","keywords":"Subsea; Pipeline transport; Leak detection; False alarm; Reliability engineering; Reliability (semiconductor); Computer science; Leak; Probabilistic logic; Pipeline (software); Component (thermodynamics); Real-time computing; Engineering; Marine engineering; Artificial intelligence","score_opus":0.01390139435538879,"score_gpt":0.23206060533197237,"score_spread":0.21815921097658358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2335465844","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004836215,0.0011519195,0.9888073,0.0006720019,0.00007574957,0.000058143054,0.000117160096,0.00011876655,0.0041627176],"genre_scores_gemma":[0.72635,0.0056000585,0.23877017,0.0008231356,0.0009584779,0.00073544716,0.0006373213,0.00034544978,0.025779966],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99524444,0.0012900518,0.00022097563,0.00082344905,0.0019388627,0.00048220245],"domain_scores_gemma":[0.971832,0.021517733,0.0024535041,0.00058074656,0.0033291748,0.00028680605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0064112167,0.0022617315,0.0019559332,0.0024203358,0.00079176994,0.0035689452,0.003210402,0.0030450195,0.0055378797],"category_scores_gemma":[0.027260656,0.0014835396,0.0016111303,0.0014698467,0.0025435912,0.003758462,0.0018949277,0.003441355,0.0007627099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008717089,0.00004586969,0.0013054691,0.000305349,0.00010021518,0.00041395513,0.00018468252,0.874441,0.0020625798,0.105408475,0.0016091905,0.0140360715],"study_design_scores_gemma":[0.000005550426,0.00002858926,0.00035112276,0.000029340928,0.000023221633,0.00017411028,0.00002648728,0.9800853,0.0004759885,0.018022787,0.0007568413,0.00002064272],"about_ca_topic_score_codex":0.007592144,"about_ca_topic_score_gemma":0.003713346,"teacher_disagreement_score":0.007592144,"about_ca_system_score_codex":0.0039688544,"about_ca_system_score_gemma":0.0025636165,"threshold_uncertainty_score":0.033906102},"labels":[],"label_agreement":null},{"id":"W2336025405","doi":"10.5539/esr.v5n2p59","title":"Detecting Buried Human Bodies Using Ground-Penetrating Radar","year":2016,"lang":"en","type":"article","venue":"Earth Science Research","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ground-penetrating radar; Landslide; Geology; Seismology; Tectonics; Crust; Radar; Remote sensing; Geomorphology; Geophysics; Engineering; Telecommunications","score_opus":0.1535378693340958,"score_gpt":0.42846028748013404,"score_spread":0.27492241814603824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2336025405","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8996144,0.00074769894,0.09628123,0.000092320704,0.00003789889,0.000058772497,0.00016383888,0.00052377064,0.0024800953],"genre_scores_gemma":[0.9477413,0.0005850332,0.050699245,0.000044519307,0.000015476791,0.000018376813,0.00013522012,0.000007963928,0.0007529178],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99987054,0.0000284008,0.000006338804,0.00003569128,0.000044847653,0.000014260107],"domain_scores_gemma":[0.99988973,0.0000360623,0.000026979887,0.000012854657,0.00002542047,0.000009058106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013401112,0.0003014202,0.00021336794,0.000492605,0.00008568582,0.00025473183,0.00020884267,0.00037953776,0.00043117214],"category_scores_gemma":[0.00031859524,0.00017025786,0.00012977826,0.00037205362,0.00013791872,0.00050235924,0.0002553777,0.00014270742,0.00023256749],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019892593,0.00016088647,0.026930902,0.00034805277,0.000066727356,0.0014613118,0.0004351398,0.0116531,0.7325961,0.00064708147,0.0007309218,0.22477084],"study_design_scores_gemma":[0.000098709614,0.0022076624,0.252357,0.00014967495,0.00027089065,0.009724737,0.0023336753,0.43725675,0.28549275,0.0021527598,0.007794489,0.00016094527],"about_ca_topic_score_codex":0.0004354489,"about_ca_topic_score_gemma":0.0004412039,"teacher_disagreement_score":0.000492605,"about_ca_system_score_codex":0.00004677122,"about_ca_system_score_gemma":0.00008192261,"threshold_uncertainty_score":0.0014424324},"labels":[],"label_agreement":null},{"id":"W2340607892","doi":"","title":"Installing and Commissioning a New Radioactive Waste Tracking System - Lessons Learned","year":2005,"lang":"en","type":"article","venue":"University of North Texas Digital Library (University of North Texas)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Installation; Vetting; Tracking system; Container (type theory); Workflow; Project commissioning; Waste disposal; Management system; Waste management; Engineering; Computer science; Operations management; Database; Computer security; Publishing","score_opus":0.02039904002265763,"score_gpt":0.19722591549794413,"score_spread":0.1768268754752865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2340607892","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18602109,0.023372218,0.21270351,0.22795612,0.004279858,0.0022232523,0.0024968165,0.007185829,0.33376136],"genre_scores_gemma":[0.3276088,0.029894311,0.38193607,0.009297115,0.00085279904,0.00044755352,0.0026527434,0.0011264335,0.24618421],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99480224,0.0004464716,0.0002081897,0.0004369759,0.0037245057,0.00038153504],"domain_scores_gemma":[0.992249,0.0009141037,0.0003105585,0.00086565455,0.0044117933,0.0012488337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054500764,0.0005816605,0.00040427007,0.0011238566,0.0025001147,0.0035280876,0.0033235096,0.0017758091,0.0055183205],"category_scores_gemma":[0.006276498,0.0004054221,0.0004264871,0.0023032255,0.002216432,0.0039837095,0.0013382176,0.0022786192,0.0025310896],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080898324,0.00032086327,0.01885881,0.0011403483,0.000023068536,0.0015644667,0.005636833,0.0043652467,0.010353722,0.013453738,0.08785919,0.85634285],"study_design_scores_gemma":[0.00003946492,0.00029780614,0.01822656,0.0005320555,0.000041587416,0.0012879225,0.00747506,0.003709689,0.011530889,0.0036831007,0.95306474,0.00011119948],"about_ca_topic_score_codex":0.599802,"about_ca_topic_score_gemma":0.7169006,"teacher_disagreement_score":0.599802,"about_ca_system_score_codex":0.015426057,"about_ca_system_score_gemma":0.047417086,"threshold_uncertainty_score":0.8051096},"labels":[],"label_agreement":null},{"id":"W2355381441","doi":"10.14288/1.0050465","title":"Dilatancy characterization of sands using the resistivity cone penetration test","year":2008,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Electrical resistivity and conductivity; Penetration test; Geotechnical engineering; Cone penetration test; Dilatant; Penetration (warfare); Geology; Engineering; Subgrade","score_opus":0.014534551897779911,"score_gpt":0.18257069985093308,"score_spread":0.16803614795315316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2355381441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9318788,0.00055746594,0.05866813,0.000025939624,0.000029510486,0.00024177294,0.0009504835,0.00035216924,0.007295715],"genre_scores_gemma":[0.983173,0.00041308728,0.014111924,0.0000174281,0.000006223967,0.000054636916,0.00031491488,0.000026036187,0.0018827261],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99954516,0.000035795063,0.000019848025,0.00006563038,0.000305768,0.000027769838],"domain_scores_gemma":[0.998855,0.00035380546,0.00023163241,0.00007556956,0.00042727336,0.00005684902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032462305,0.0003188836,0.00026478208,0.0011879677,0.00019465383,0.00045136825,0.00035263522,0.0001941328,0.0012482337],"category_scores_gemma":[0.00127928,0.00014615717,0.00016975048,0.0009887381,0.00026746522,0.00033790438,0.00028901038,0.00034236017,0.00036323964],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038263493,0.00011177738,0.046528272,0.00018479342,0.000036988124,0.0005646587,0.00066086405,0.0026736194,0.8937255,0.00036727067,0.00021677683,0.054546855],"study_design_scores_gemma":[0.00003145523,0.0021326751,0.34775886,0.0000567837,0.00008210062,0.0021320283,0.0011209112,0.027765993,0.612726,0.0005178112,0.0055475878,0.00012782976],"about_ca_topic_score_codex":0.0040738294,"about_ca_topic_score_gemma":0.0089879045,"teacher_disagreement_score":0.0040738294,"about_ca_system_score_codex":0.00023538817,"about_ca_system_score_gemma":0.00019693436,"threshold_uncertainty_score":0.008100212},"labels":[],"label_agreement":null},{"id":"W2369169796","doi":"10.1007/bf02837552","title":"The application of GPR to barrier—lagoon sedimentation study in Boao of Hainan Island","year":2002,"lang":"en","type":"article","venue":"Journal of Geographical Sciences","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Geology; Shoal; Progradation; Bedrock; Fluvial; Ground-penetrating radar; Facies; Sedimentary rock; Holocene; Geomorphology; Barrier island; Sea level; Estuary; Pleistocene; Oceanography; Shore; Paleontology; Radar; Structural basin","score_opus":0.01546651005316963,"score_gpt":0.29074086469641286,"score_spread":0.27527435464324324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2369169796","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99909484,0.000035945905,0.0001715832,0.000026838568,0.0000057282064,0.0000140103775,0.000083979176,0.000005759792,0.0005613528],"genre_scores_gemma":[0.9989066,0.000054580843,0.0005982132,0.00001854825,0.0000054762263,0.00000739956,0.0001103185,0.0000032698356,0.0002955189],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988806,0.000020341287,0.000008179987,0.00002917681,0.000016842914,0.00003737794],"domain_scores_gemma":[0.9998399,0.000033815224,0.000018909936,0.000011994214,0.00005550275,0.00003978848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003200962,0.00032228715,0.000326508,0.0012350149,0.00096164254,0.00067559944,0.0005483418,0.00075918535,0.000417537],"category_scores_gemma":[0.00045567867,0.00027098999,0.00021889582,0.0013742854,0.0005766508,0.0004099702,0.0004624065,0.0003854478,0.00012167837],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041035606,0.00036350454,0.91419214,0.00010609961,0.000085632906,0.004507774,0.0064791464,0.0019648657,0.04997849,0.00021842952,0.00038177395,0.021311734],"study_design_scores_gemma":[0.000023608765,0.00013908751,0.98844403,0.000010508095,0.000038103906,0.00047506017,0.004817741,0.004076816,0.001268536,0.00005364741,0.00063822354,0.000014755401],"about_ca_topic_score_codex":0.108005755,"about_ca_topic_score_gemma":0.15768115,"teacher_disagreement_score":0.108005755,"about_ca_system_score_codex":0.00059473666,"about_ca_system_score_gemma":0.00088464934,"threshold_uncertainty_score":0.21475422},"labels":[],"label_agreement":null},{"id":"W2381192871","doi":"","title":"Target echo signal feature extraction and material recognition of ultra-wideband ground-penetrating radar","year":2009,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Computer science; Ground-penetrating radar; Echo (communications protocol); Radar; SIGNAL (programming language); Feature extraction; Wideband; Acoustics; Artificial intelligence; Wavelet; Broadband; Feature (linguistics); Remote sensing; Pattern recognition (psychology); Geology; Telecommunications; Electronic engineering; Physics; Engineering","score_opus":0.012043714386591447,"score_gpt":0.24505136211236062,"score_spread":0.23300764772576918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2381192871","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1780898,0.00030624104,0.8197457,0.00006117133,0.000019889256,0.0000223185,0.00003761963,0.00031383627,0.0014034054],"genre_scores_gemma":[0.84344023,0.00044986838,0.15341039,0.000040242554,0.000018604303,0.00003422619,0.0001526009,0.000032903892,0.0024209714],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998005,0.00003892764,0.000008561174,0.00003828675,0.0000971425,0.000016563426],"domain_scores_gemma":[0.99988437,0.000033581247,0.000018576287,0.000019222049,0.000038259157,0.0000060143134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031381924,0.00028275454,0.00033251106,0.0005231091,0.000111705274,0.0003174177,0.00027724425,0.0004420242,0.0005217835],"category_scores_gemma":[0.0006322303,0.00025712384,0.00030014582,0.00035389548,0.00030241068,0.0007447916,0.00027545082,0.00023104428,0.00028056116],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024286493,0.00007742733,0.0022586081,0.00013733114,0.000039737155,0.00037722316,0.00012189884,0.037082434,0.6984006,0.0057550906,0.00050746836,0.2549993],"study_design_scores_gemma":[0.00001937815,0.00020769692,0.006226257,0.000010076029,0.00003545318,0.0008445334,0.000059237893,0.7699336,0.21808635,0.002668987,0.0018751425,0.000033268483],"about_ca_topic_score_codex":0.00039180415,"about_ca_topic_score_gemma":0.00035451373,"teacher_disagreement_score":0.0005231091,"about_ca_system_score_codex":0.00011999108,"about_ca_system_score_gemma":0.00020804192,"threshold_uncertainty_score":0.001745522},"labels":[],"label_agreement":null},{"id":"W2386859168","doi":"","title":"Research about the principles and the applications of three types of the GPR in the world","year":2002,"lang":"en","type":"article","venue":"Meitan xuebao","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ground-penetrating radar; China; Radar; Computer science; Geology; Remote sensing; Data science; Engineering; Earth science; Geography; Archaeology; Telecommunications","score_opus":0.07420298866761126,"score_gpt":0.3233303342746125,"score_spread":0.24912734560700123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2386859168","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20962246,0.053095493,0.53257936,0.008616942,0.0006531377,0.0001986545,0.00034185027,0.00065729115,0.1942349],"genre_scores_gemma":[0.7304278,0.06504075,0.16740751,0.0012425343,0.00033751898,0.00010378965,0.0002365683,0.00011378416,0.03508975],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993344,0.00014814186,0.000040554347,0.00012319199,0.00027324617,0.00008050517],"domain_scores_gemma":[0.9992023,0.00022827051,0.0000901606,0.000070088565,0.00037316862,0.00003594888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011048949,0.00033717309,0.0002316047,0.0019733233,0.0006060864,0.001492143,0.0004041681,0.0007457884,0.0022109486],"category_scores_gemma":[0.0014769448,0.0003354243,0.000343757,0.0020679503,0.0013527006,0.003628054,0.0006816468,0.0011323214,0.0005552677],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000161104,0.00011722959,0.012516318,0.00070619106,0.00004454603,0.00066613057,0.0023747676,0.0036833982,0.04910747,0.124724545,0.0035625098,0.8023358],"study_design_scores_gemma":[0.00005081384,0.00082702574,0.07697303,0.00093515834,0.00026211498,0.0130704325,0.008103559,0.031735167,0.12089104,0.16085982,0.5858933,0.000398584],"about_ca_topic_score_codex":0.0014430605,"about_ca_topic_score_gemma":0.0014852469,"teacher_disagreement_score":0.0022109486,"about_ca_system_score_codex":0.00075387023,"about_ca_system_score_gemma":0.00085195067,"threshold_uncertainty_score":0.0073963404},"labels":[],"label_agreement":null},{"id":"W2398904022","doi":"10.1109/tmtt.2016.2561926","title":"SAGD Process Monitoring in Heavy Oil Reservoir Using UWB Radar Techniques","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Radar; Ground-penetrating radar; Process (computing); Steam-assisted gravity drainage; Petroleum engineering; Remote sensing; Engineering; Geology; Environmental science; Oil sands; Computer science; Materials science; Aerospace engineering","score_opus":0.018719488776751413,"score_gpt":0.28852662655242,"score_spread":0.2698071377756686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2398904022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89094955,0.0006295941,0.106658086,0.00009109545,0.000016727789,0.000019186095,0.000035219568,0.00029232053,0.0013083331],"genre_scores_gemma":[0.9796749,0.00019009502,0.019779649,0.00001604792,0.0000053722943,0.000005463118,0.000014476493,0.000008107838,0.00030603056],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999858,0.000028137028,0.000006577655,0.000023305538,0.00006968386,0.000014199051],"domain_scores_gemma":[0.9997974,0.00007144601,0.00005920304,0.000017898095,0.000043892913,0.000010149477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015585792,0.00015738102,0.00024119463,0.00032330825,0.00011695826,0.0002666456,0.00022413282,0.0002711567,0.00024077552],"category_scores_gemma":[0.00032425032,0.00010324083,0.00012209319,0.00024718881,0.00016959419,0.0003726775,0.0002431721,0.0001635896,0.000065286025],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002306587,0.000034784887,0.005927564,0.00013507584,0.000013731482,0.00024071465,0.00013950189,0.0051245107,0.93807155,0.0002671203,0.000091583686,0.049723197],"study_design_scores_gemma":[0.000024823892,0.0006124612,0.01737318,0.000022246135,0.00005700966,0.0008045086,0.00040055843,0.10983001,0.86843616,0.0005279327,0.0018773959,0.000033670975],"about_ca_topic_score_codex":0.00025957022,"about_ca_topic_score_gemma":0.00047209804,"teacher_disagreement_score":0.00032330825,"about_ca_system_score_codex":0.00012823897,"about_ca_system_score_gemma":0.00010012414,"threshold_uncertainty_score":0.0009304285},"labels":[],"label_agreement":null},{"id":"W2410098808","doi":"10.1139/cgj-2015-0545","title":"Interpretation of soil property profile from limited measurement data: a compressive sampling perspective","year":2016,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":102,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Compressed sensing; Property (philosophy); Sampling (signal processing); Geotechnical engineering; Data collection; Engineering; Computer science; Soil science; Mathematics; Data mining; Algorithm; Geology; Statistics; Computer vision","score_opus":0.06421639716598997,"score_gpt":0.27746053623499684,"score_spread":0.21324413906900686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2410098808","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036654748,0.00039206992,0.96079975,0.000306719,0.000027287137,0.00003661336,0.00014472194,0.00012916079,0.0015089818],"genre_scores_gemma":[0.7170605,0.0015172872,0.27945703,0.00021309208,0.00017581397,0.0001241704,0.0004557711,0.00006308843,0.0009332002],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993647,0.00019649557,0.000051964453,0.00011671783,0.0002274095,0.000042809657],"domain_scores_gemma":[0.99776673,0.001252384,0.0002879681,0.00028212348,0.0003594312,0.00005141041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013730556,0.0007447394,0.00051453465,0.001517898,0.0002573983,0.001097902,0.0008159746,0.0008306634,0.00075111166],"category_scores_gemma":[0.004946075,0.0002756268,0.0004214473,0.0010895042,0.0011523481,0.0018080712,0.0008944039,0.00083025347,0.0001620265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003507304,0.00019199974,0.012417183,0.0009074781,0.00011550198,0.0012523073,0.0008775358,0.38680318,0.110626034,0.06293382,0.0018419334,0.4216823],"study_design_scores_gemma":[0.000017546148,0.00011852605,0.0051296386,0.00007578067,0.000035210982,0.0004666618,0.00029243442,0.9406806,0.016122956,0.033866007,0.0031369026,0.00005763122],"about_ca_topic_score_codex":0.0017896583,"about_ca_topic_score_gemma":0.0015265754,"teacher_disagreement_score":0.0017896583,"about_ca_system_score_codex":0.00032323552,"about_ca_system_score_gemma":0.0005109069,"threshold_uncertainty_score":0.007261455},"labels":[],"label_agreement":null},{"id":"W2413407422","doi":"","title":"Numerical Modeling of In-Situ Rock Mass Testing using Extra Large Flat Jack Test","year":2015,"lang":"en","type":"article","venue":"ISRM Regional Symposium - EUROCK 2015","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Geology; Test (biology); Rock mass classification; In situ; Geotechnical engineering; Meteorology; Paleontology; Geography","score_opus":0.07669381131259662,"score_gpt":0.29459006590397074,"score_spread":0.21789625459137413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2413407422","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7522559,0.00024271513,0.2034266,0.00029663133,0.000125541,0.00010298654,0.0006521768,0.00092060294,0.04197676],"genre_scores_gemma":[0.9922708,0.000061492145,0.0043525235,0.000015886098,0.0000058989203,0.000029410734,0.000089894165,0.000037303238,0.003136813],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980444,0.000040047988,0.000013436006,0.000032430267,0.00006574659,0.000043901804],"domain_scores_gemma":[0.9995339,0.00018408168,0.00006929691,0.000054007924,0.00012203894,0.00003663316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028386008,0.00056737085,0.0005344646,0.00046946114,0.0004112641,0.0008307177,0.001450597,0.0011313645,0.0028324637],"category_scores_gemma":[0.0009493058,0.00041313824,0.00038960387,0.00040425078,0.00065508235,0.0006405721,0.00053657807,0.00042680514,0.00039836665],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004378844,0.000051593717,0.0012081265,0.000022689841,0.0000057590964,0.00008381279,0.000028586523,0.9911056,0.0040495237,0.0008246981,0.00015505102,0.0024207125],"study_design_scores_gemma":[0.0000032000119,0.00001684381,0.000406027,0.000001851608,0.0000022235745,0.000009559322,0.0000092225455,0.9986993,0.0006510651,0.000097229204,0.00009989601,0.0000035820528],"about_ca_topic_score_codex":0.012316897,"about_ca_topic_score_gemma":0.00806399,"teacher_disagreement_score":0.012316897,"about_ca_system_score_codex":0.00045136592,"about_ca_system_score_gemma":0.0006656944,"threshold_uncertainty_score":0.024490356},"labels":[],"label_agreement":null},{"id":"W2413474155","doi":"","title":"Geophysical investigations at the dorset Palaeoeskimo site of Phillip's Garden, Port au Choix, Northwestern Newfoundland","year":2013,"lang":"en","type":"dissertation","venue":"Memorial University Research Repository (Memorial University)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ground-penetrating radar; Transect; Magnetometer; Geophysical survey; Archaeology; Radar; Geography; Scale (ratio); Civil engineering; Remote sensing; Geophysics; Geology; Engineering; Cartography; Oceanography","score_opus":0.02110981666847209,"score_gpt":0.25476819472987905,"score_spread":0.23365837806140696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2413474155","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98423105,0.00032102581,0.00025141172,0.00038549397,0.000013149899,0.00005187838,0.0011996586,0.000016713735,0.013529763],"genre_scores_gemma":[0.9765762,0.0008889448,0.0014220328,0.00014236821,0.000009992654,0.000055165445,0.0010919503,0.000015051521,0.019798188],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99978787,0.000013385139,0.0000051902166,0.0000463236,0.000063792286,0.00008348536],"domain_scores_gemma":[0.99963,0.000049598653,0.000050920524,0.000021101692,0.00015520221,0.00009325895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000197857,0.00020498832,0.00015479037,0.00080838124,0.0021804962,0.00074638706,0.00045480032,0.00021808418,0.003355553],"category_scores_gemma":[0.00047954443,0.0001708868,0.00011310293,0.0012524686,0.0007811412,0.00032084106,0.0008053097,0.0003623259,0.00028848762],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039456467,0.00014072515,0.80616,0.0003506952,0.00009327604,0.005103123,0.01830668,0.001913452,0.022575293,0.0010778905,0.018515723,0.12536854],"study_design_scores_gemma":[0.0000058973383,0.00003558694,0.9781285,0.00005315542,0.000009268051,0.00019026033,0.010872047,0.00021410955,0.000616524,0.0000328886,0.009829086,0.000012683096],"about_ca_topic_score_codex":0.9069356,"about_ca_topic_score_gemma":0.98871547,"teacher_disagreement_score":0.09306443,"about_ca_system_score_codex":0.0067912955,"about_ca_system_score_gemma":0.0072083306,"threshold_uncertainty_score":0.18722498},"labels":[],"label_agreement":null},{"id":"W242704115","doi":"10.1520/gtj103092","title":"Improved Curve Fitting Methods for Underdamped Slug Tests","year":2012,"lang":"en","type":"article","venue":"Geotechnical Testing Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Geotechnical engineering; Geology; Slug","score_opus":0.07786303460103461,"score_gpt":0.38364317405395637,"score_spread":0.30578013945292176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W242704115","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013216629,0.00013141337,0.98091894,0.00003281777,0.000029941048,0.000060831226,0.00015122311,0.0046877284,0.00077050197],"genre_scores_gemma":[0.14306146,0.0002416572,0.8502454,0.000049825616,0.000026246693,0.00018693136,0.00070455583,0.0029075947,0.0025763265],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975286,0.0007058795,0.0001941622,0.0003616047,0.0011021171,0.000107573775],"domain_scores_gemma":[0.99011606,0.004552186,0.00087131985,0.0016268031,0.0027189772,0.00011460762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029787533,0.0015466617,0.0011487532,0.0037962066,0.00047874954,0.0013712419,0.0020232853,0.0010701519,0.0072027706],"category_scores_gemma":[0.01749075,0.0006667093,0.0010932846,0.0024871235,0.0004413804,0.0015481287,0.0014427436,0.0016768562,0.0033519494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003961611,0.0002847124,0.0056649186,0.00069413293,0.00018369028,0.00046741308,0.0008911607,0.13109738,0.097493425,0.0081940275,0.004769057,0.7498639],"study_design_scores_gemma":[0.000021305275,0.00013656086,0.00394697,0.000051845658,0.000041349627,0.00038178515,0.00010645386,0.9384493,0.03972084,0.005423493,0.011589544,0.00013051236],"about_ca_topic_score_codex":0.0019841033,"about_ca_topic_score_gemma":0.0023330739,"teacher_disagreement_score":0.0072027706,"about_ca_system_score_codex":0.00050876645,"about_ca_system_score_gemma":0.0008100032,"threshold_uncertainty_score":0.024095654},"labels":[],"label_agreement":null},{"id":"W2463718273","doi":"10.1061/9780784479957.017","title":"Quantifying Pipe Corrosion and Deterioration with Pipe Penetrating Radar","year":2016,"lang":"en","type":"article","venue":"Pipelines 2016","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ground-penetrating radar; Rebar; Corrosion; Sanitary sewer; Radar; Trench; Geology; Geotechnical engineering; Engineering; Structural engineering; Forensic engineering; Materials science; Composite material","score_opus":0.02626890278415023,"score_gpt":0.26464240437566694,"score_spread":0.2383735015915167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2463718273","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9432514,0.0010372811,0.052399352,0.000064948945,0.000021699681,0.00009270869,0.00028436736,0.00036034602,0.0024877891],"genre_scores_gemma":[0.95912707,0.0010048094,0.038063988,0.00005304976,0.00001975751,0.000039395385,0.00035911048,0.000027208713,0.0013055003],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992281,0.00012238932,0.000038169233,0.00014547045,0.00039595267,0.00006992519],"domain_scores_gemma":[0.9991509,0.00017033689,0.00026114573,0.00004485599,0.0003354902,0.000037241436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009124094,0.00056248123,0.00042871266,0.0013175895,0.00017082163,0.0005213239,0.00041883002,0.0005767802,0.00034070565],"category_scores_gemma":[0.0014166759,0.00035034455,0.00022140055,0.00096865493,0.0002655281,0.0007447429,0.0005429366,0.00041910922,0.00025053573],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040512267,0.00025256726,0.48473597,0.0005326283,0.00018629503,0.00075732294,0.001014541,0.034106623,0.23993787,0.00034696388,0.0010452073,0.2366789],"study_design_scores_gemma":[0.000040704483,0.0019533606,0.7902655,0.00007659894,0.00020144982,0.0014297607,0.0010476696,0.13055284,0.06941726,0.0004216901,0.004483321,0.00010995074],"about_ca_topic_score_codex":0.0030781429,"about_ca_topic_score_gemma":0.0061715646,"teacher_disagreement_score":0.0030781429,"about_ca_system_score_codex":0.00026053868,"about_ca_system_score_gemma":0.00015603562,"threshold_uncertainty_score":0.0061204433},"labels":[],"label_agreement":null},{"id":"W2471447640","doi":"10.1061/9780784479957.039","title":"Leak Detection in Buried Pipes Using Ground Penetrating Radar—A Comparative Study","year":2016,"lang":"en","type":"article","venue":"Pipelines 2016","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Ground-penetrating radar; Leak; Leak detection; Geology; Radar; Geotechnical engineering; Remote sensing; Acoustics; Engineering; Aerospace engineering","score_opus":0.05648836586453161,"score_gpt":0.32142847023324395,"score_spread":0.26494010436871235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2471447640","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9672522,0.003695636,0.02595315,0.000049222184,0.000022335294,0.000034053355,0.00012085451,0.00022220238,0.0026502872],"genre_scores_gemma":[0.99306726,0.0017979584,0.004409479,0.000014207424,0.000025598276,0.0000063360417,0.000104389626,0.00002427121,0.0005506256],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9993591,0.0001728398,0.000055803182,0.00014995346,0.00020803117,0.00005438495],"domain_scores_gemma":[0.9977864,0.001089435,0.00036482816,0.00012762561,0.0005849112,0.000046862137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095970347,0.000510444,0.0006732502,0.001999828,0.0001691525,0.0006959779,0.00042058786,0.0008792078,0.00078585197],"category_scores_gemma":[0.0023089831,0.00030124752,0.00050359545,0.001236442,0.00045213397,0.0017116276,0.00042636902,0.00021514666,0.00027446565],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004396045,0.0009476993,0.1523376,0.003983889,0.00057335646,0.0043791025,0.0027261947,0.06261775,0.27310008,0.0010352918,0.0013674286,0.4925357],"study_design_scores_gemma":[0.00013781441,0.0152237,0.46852797,0.0005800904,0.001133003,0.009813428,0.0060916212,0.27803832,0.20689896,0.001619908,0.011597927,0.0003373275],"about_ca_topic_score_codex":0.00051443337,"about_ca_topic_score_gemma":0.00040755174,"teacher_disagreement_score":0.001999828,"about_ca_system_score_codex":0.00021483221,"about_ca_system_score_gemma":0.00011054623,"threshold_uncertainty_score":0.0050755143},"labels":[],"label_agreement":null},{"id":"W2475436892","doi":"10.1201/noe0415444019-c192","title":"Inspection of rock-concrete interface in underground support systems using a Non-destructive Testing technique","year":2007,"lang":"en","type":"book-chapter","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Interface (matter); Geology; Geotechnical engineering; Materials science; Composite material","score_opus":0.05328664495316203,"score_gpt":0.2965143131767468,"score_spread":0.24322766822358477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2475436892","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45349395,0.0015416396,0.5266234,0.00013023242,0.000057143163,0.00012400962,0.00018758728,0.0010155311,0.016826473],"genre_scores_gemma":[0.82391304,0.0007379949,0.15555373,0.00005514408,0.000016058757,0.000039993865,0.00014995891,0.00009926711,0.019434778],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99971515,0.000018347693,0.0000103636,0.000035209083,0.0002020836,0.000018746327],"domain_scores_gemma":[0.99962866,0.00018067182,0.00003495559,0.00003709198,0.000102363854,0.00001622581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019453472,0.00037789415,0.00028507106,0.0006535016,0.00023728954,0.00043857624,0.0007791693,0.00059679075,0.0021276758],"category_scores_gemma":[0.0004038883,0.00030007085,0.00017679132,0.00034878196,0.00034342092,0.00059901405,0.0003879372,0.00033414795,0.00064229785],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011602523,0.000043091975,0.0035788612,0.0001862812,0.0000050518015,0.00031571626,0.0002419899,0.0017330208,0.9005172,0.00084762793,0.00057287124,0.09184226],"study_design_scores_gemma":[0.000014467375,0.00044340326,0.028669592,0.000058528025,0.00004342748,0.003321214,0.00062891707,0.03690323,0.9189542,0.0020904061,0.008833893,0.000038760147],"about_ca_topic_score_codex":0.00061982387,"about_ca_topic_score_gemma":0.002396773,"teacher_disagreement_score":0.0021276758,"about_ca_system_score_codex":0.00014913085,"about_ca_system_score_gemma":0.0003547044,"threshold_uncertainty_score":0.007117808},"labels":[],"label_agreement":null},{"id":"W2509084003","doi":"10.1190/segam2016-13453513.1","title":"A novel imaging method for crosshole radio imaging (RIM) data: Complex permittivity inversion","year":2016,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inversion (geology); Permittivity; Geology; Microwave imaging; Radio frequency; Computer science; Materials science; Seismology; Dielectric; Telecommunications; Optoelectronics","score_opus":0.07177378967609291,"score_gpt":0.34899688034535703,"score_spread":0.2772230906692641,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2509084003","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00897553,0.00007870487,0.9892189,0.00006112566,0.000035657307,0.000035695004,0.000116443785,0.00069918664,0.0007787868],"genre_scores_gemma":[0.07210086,0.00020526459,0.9259778,0.00008075912,0.000029565359,0.000078435754,0.00035935172,0.00022320605,0.0009447489],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99958915,0.00007987466,0.000021894528,0.00010175675,0.00017608367,0.000031207674],"domain_scores_gemma":[0.9989737,0.00029807264,0.00014881085,0.00019683501,0.00034458426,0.000037901063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007531809,0.0007653167,0.00038831035,0.001131392,0.00022766074,0.0008689169,0.00083166844,0.00058955426,0.0018750902],"category_scores_gemma":[0.002435078,0.00033886443,0.00041771357,0.00092499395,0.00040078716,0.002135283,0.0008284102,0.00094329205,0.0008635646],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002266976,0.00022001463,0.0044263247,0.0005908056,0.00012512764,0.0004037046,0.00044361645,0.03953507,0.38507146,0.011732584,0.0059838495,0.5512408],"study_design_scores_gemma":[0.00007320944,0.00020980468,0.0049757855,0.00006181879,0.00007696915,0.0021847778,0.00027833783,0.6998124,0.25805473,0.004818403,0.029296983,0.00015676554],"about_ca_topic_score_codex":0.0006975849,"about_ca_topic_score_gemma":0.0014067113,"teacher_disagreement_score":0.0018750902,"about_ca_system_score_codex":0.00023493594,"about_ca_system_score_gemma":0.00062960584,"threshold_uncertainty_score":0.0062728524},"labels":[],"label_agreement":null},{"id":"W2510554193","doi":"","title":"Acoustic Emission, a Potential Tool For Assessing Potash Support Degeneration Resulting From Inflow Brine","year":2001,"lang":"en","type":"article","venue":"DC Rocks 2001, The 38th U.S. Symposium on Rock Mechanics (USRMS)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Potash; Inflow; Brine; Environmental science; Geology; Potassium; Metallurgy; Oceanography; Materials science; Chemistry","score_opus":0.014641655487330305,"score_gpt":0.2578868617143277,"score_spread":0.24324520622699736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2510554193","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.877467,0.0011585285,0.110980675,0.00022844151,0.00012626126,0.00013274305,0.0009816657,0.0008043987,0.0081202965],"genre_scores_gemma":[0.9820457,0.00063046045,0.01369064,0.000045128512,0.00002652938,0.000037039943,0.00027837534,0.000051597297,0.0031945002],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996753,0.00005114262,0.000017579772,0.000055423003,0.0001758124,0.000024750538],"domain_scores_gemma":[0.9989962,0.0003476267,0.00022695654,0.000044912955,0.0003230185,0.00006126585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061283377,0.0005663316,0.00032917308,0.0015504919,0.0003137585,0.00085484394,0.00039994653,0.0007887453,0.0022438732],"category_scores_gemma":[0.0023160782,0.00026146515,0.00015998652,0.0005549272,0.0004224811,0.00094164384,0.000876094,0.00054598757,0.00050163025],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013725867,0.00021913665,0.24067575,0.0005945537,0.00007866921,0.0007598644,0.00056813547,0.009816293,0.528394,0.00081039866,0.001197791,0.21551281],"study_design_scores_gemma":[0.00012857867,0.002742686,0.5609875,0.0002664507,0.00036533206,0.0025770224,0.0025231026,0.118361875,0.2993988,0.0028359971,0.009554596,0.00025800127],"about_ca_topic_score_codex":0.001458916,"about_ca_topic_score_gemma":0.004120267,"teacher_disagreement_score":0.0022438732,"about_ca_system_score_codex":0.00019188397,"about_ca_system_score_gemma":0.00023110597,"threshold_uncertainty_score":0.0075064898},"labels":[],"label_agreement":null},{"id":"W2512183896","doi":"10.1190/segam2016-13842890.1","title":"Wavefield simulation of 3D borehole dipole radiation","year":2016,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Borehole; Geology; Dipole; Radiation; Computer science; Geophysics; Acoustics; Seismology; Physics; Optics; Geotechnical engineering","score_opus":0.012856432452083323,"score_gpt":0.2599693374014581,"score_spread":0.2471129049493748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2512183896","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67104864,0.000110891444,0.31143183,0.00027537107,0.00006264328,0.00008010906,0.0008265203,0.0010996507,0.015064355],"genre_scores_gemma":[0.96501356,0.00006775098,0.03211074,0.000038203998,0.0000065798745,0.00004955426,0.00029086877,0.000060746654,0.0023620226],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993205,0.000015646217,0.0000032877772,0.000009547091,0.00002655014,0.000012809677],"domain_scores_gemma":[0.99965715,0.00020625675,0.0000327841,0.000023154013,0.00006260205,0.000018056853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019542074,0.0002884304,0.00023924462,0.000263451,0.00016634256,0.0004234278,0.00053965475,0.0006829681,0.0018432908],"category_scores_gemma":[0.00069515954,0.00021266013,0.0003110061,0.0002676795,0.00030779708,0.00029498074,0.00029406085,0.00027270732,0.000183868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005203692,0.000029126637,0.0015763396,0.000029814597,0.000006879812,0.00009255314,0.000081322345,0.9831865,0.008362166,0.0016105304,0.00021374584,0.004759076],"study_design_scores_gemma":[0.0000071567024,0.00001057213,0.00025738956,0.0000015728972,0.0000010047609,0.00001613317,0.000013758052,0.9984787,0.0008858773,0.00016946443,0.00015500707,0.000003408567],"about_ca_topic_score_codex":0.005581947,"about_ca_topic_score_gemma":0.00392157,"teacher_disagreement_score":0.005581947,"about_ca_system_score_codex":0.00029804936,"about_ca_system_score_gemma":0.00048817138,"threshold_uncertainty_score":0.011098921},"labels":[],"label_agreement":null},{"id":"W2512665755","doi":"","title":"The potential of remote real-time noise monitoring","year":2016,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Real-time computing; Noise (video); Telecommunications; Noise exposure; Real-time data; World Wide Web; Artificial intelligence","score_opus":0.007388612994187728,"score_gpt":0.21932118442776563,"score_spread":0.2119325714335779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2512665755","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.051374625,0.021872407,0.6432123,0.022783384,0.0027608972,0.0003334978,0.009285933,0.03818386,0.21019302],"genre_scores_gemma":[0.6678935,0.008672362,0.26715204,0.0039023806,0.0018277022,0.00021022241,0.010198241,0.0020439222,0.03809947],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99794215,0.000334121,0.000042328116,0.00046276598,0.0010275204,0.00019110362],"domain_scores_gemma":[0.99541664,0.0010793834,0.00031800027,0.00120975,0.0016537089,0.000322558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022094157,0.0010243269,0.000683123,0.0017473924,0.00076889683,0.0022847503,0.0028199393,0.0015240816,0.010570244],"category_scores_gemma":[0.004064343,0.00035064647,0.00034084453,0.002206728,0.0013787762,0.003978869,0.0020721368,0.0016636234,0.0047070943],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005588135,0.00019793294,0.009920588,0.0006485677,0.00011369173,0.00026086665,0.00048496647,0.018269198,0.04159362,0.027905026,0.07533899,0.82470775],"study_design_scores_gemma":[0.00017278502,0.00036980357,0.026001222,0.000664564,0.00017105612,0.00079080614,0.0008822543,0.2067207,0.028776592,0.086283006,0.6487942,0.00037295502],"about_ca_topic_score_codex":0.06723844,"about_ca_topic_score_gemma":0.051341992,"teacher_disagreement_score":0.06723844,"about_ca_system_score_codex":0.0014867072,"about_ca_system_score_gemma":0.002482814,"threshold_uncertainty_score":0.13369417},"labels":[],"label_agreement":null},{"id":"W2515123580","doi":"10.1149/ma2016-02/14/1355","title":"The Influence of Copper Coatings on the Corrosion of Carbon Steel Substrates","year":2016,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Nuclear Waste Management Organization; Western University","funders":"","keywords":"Corrosion; Coating; Materials science; Carbon steel; Metallurgy; Copper; Composite material","score_opus":0.013625477147853603,"score_gpt":0.23807625336474267,"score_spread":0.22445077621688905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2515123580","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99793637,0.0006090789,0.0003097525,0.000017614317,0.000010985524,0.00001148503,0.00007772727,0.000014198345,0.0010128552],"genre_scores_gemma":[0.99802893,0.00036474966,0.0007286566,0.000009774132,0.0000036740312,0.000005595698,0.000080848964,0.0000074559903,0.0007702183],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997191,0.000045134835,0.000016936447,0.000037003996,0.00011343174,0.00006836645],"domain_scores_gemma":[0.99951065,0.00011063287,0.0001059708,0.00003861299,0.00019527107,0.000038918206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022951655,0.00043538254,0.00020998258,0.00022110458,0.00021140004,0.00041465872,0.00028715315,0.00036378077,0.00068998267],"category_scores_gemma":[0.00058657274,0.00020041359,0.00015764235,0.00018052064,0.00022852671,0.000151431,0.00016755254,0.00022701826,0.0001538058],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018543654,0.000019895791,0.0008035779,0.00009191013,0.000012737035,0.00017875059,0.000043076136,0.0006005821,0.9960277,0.000024644924,0.000064045744,0.0019476776],"study_design_scores_gemma":[0.0000061813066,0.00044441008,0.007177283,0.000006007514,0.000013702859,0.000084404724,0.000051942057,0.0022908472,0.9894583,0.000009513869,0.00044947714,0.000007930024],"about_ca_topic_score_codex":0.0049467394,"about_ca_topic_score_gemma":0.006378893,"teacher_disagreement_score":0.0049467394,"about_ca_system_score_codex":0.00039020213,"about_ca_system_score_gemma":0.00023226014,"threshold_uncertainty_score":0.009835899},"labels":[],"label_agreement":null},{"id":"W2516284709","doi":"","title":"Selecting Suitable Noise Control for Mine Return Air Raise Systems","year":2016,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Annoyance; Noise control; Noise (video); Environmental science; Engineering; Control (management); Automotive engineering; Environmental engineering; Computer science; Loudness; Noise reduction","score_opus":0.010437733535152005,"score_gpt":0.21753233423748258,"score_spread":0.20709460070233057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2516284709","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49115497,0.0004604777,0.5005998,0.00020538116,0.00007963557,0.00059530826,0.000070537324,0.0009237715,0.0059101875],"genre_scores_gemma":[0.94382447,0.00009712905,0.0547299,0.00005098182,0.000024573086,0.00016256145,0.00003807239,0.00007380103,0.0009985798],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99868196,0.0004087666,0.0001225582,0.00027697254,0.0003591377,0.00015058044],"domain_scores_gemma":[0.9981275,0.0006916533,0.0003112778,0.00012691828,0.0006387219,0.00010388617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010911474,0.0007971962,0.0005211157,0.0009027868,0.00079864357,0.0010131283,0.00085584115,0.0007144163,0.0014802874],"category_scores_gemma":[0.0053010904,0.00038878465,0.0002268296,0.00022770262,0.00044562368,0.00076345383,0.00045624393,0.00028113148,0.0007402661],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021563557,0.0007246842,0.022952039,0.00090504356,0.00008186199,0.00061087887,0.0010491984,0.054448716,0.626754,0.0024904858,0.0012654306,0.28656134],"study_design_scores_gemma":[0.00048512692,0.0046919263,0.05423427,0.0002468745,0.00047336955,0.000984597,0.0013687595,0.289772,0.62837756,0.002576766,0.016572518,0.00021622446],"about_ca_topic_score_codex":0.0012273618,"about_ca_topic_score_gemma":0.0023784789,"teacher_disagreement_score":0.0014802874,"about_ca_system_score_codex":0.00043925297,"about_ca_system_score_gemma":0.0004042082,"threshold_uncertainty_score":0.0057706237},"labels":[],"label_agreement":null},{"id":"W2517044592","doi":"10.1190/segam2016-13965303.1","title":"Achieving depth resolution with gradient array survey data through transient electromagnetic inversion","year":2016,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Inversion (geology); Transient (computer programming); Geology; Computer science; Remote sensing; Seismology","score_opus":0.046567180665359274,"score_gpt":0.26073020232558924,"score_spread":0.21416302166022996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2517044592","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1117925,0.00008149095,0.8782851,0.00030140486,0.000050477618,0.000048458285,0.0004595218,0.0019509599,0.007030057],"genre_scores_gemma":[0.6091116,0.00017428759,0.387672,0.00012906035,0.00002351902,0.000059235965,0.0006862638,0.00029707316,0.0018468568],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998435,0.00002356701,0.000005724037,0.00003010658,0.00007541802,0.000021616324],"domain_scores_gemma":[0.99957854,0.000122002966,0.00004285248,0.00013091031,0.000098992285,0.00002667252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037271925,0.00037623796,0.00030367292,0.00035374888,0.00024526962,0.0008660206,0.0005299892,0.000476946,0.002166027],"category_scores_gemma":[0.0018135174,0.00029233587,0.0002538307,0.00055374054,0.00032866478,0.0009534695,0.0010151269,0.00073580735,0.0009571311],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044090213,0.0002797615,0.015943443,0.00024347068,0.0000743036,0.0003383536,0.0005927348,0.3334548,0.35874215,0.017111277,0.005785273,0.26699352],"study_design_scores_gemma":[0.000042497544,0.00010481823,0.0035147301,0.000027951888,0.000023597771,0.0001877558,0.00013538823,0.88910437,0.09069626,0.008754665,0.0073583825,0.00004956195],"about_ca_topic_score_codex":0.0013276587,"about_ca_topic_score_gemma":0.0023594417,"teacher_disagreement_score":0.002166027,"about_ca_system_score_codex":0.00029998593,"about_ca_system_score_gemma":0.00057665765,"threshold_uncertainty_score":0.007246077},"labels":[],"label_agreement":null},{"id":"W2517212619","doi":"10.1190/segam2016-13957723.1","title":"Effect of random noises and inaccurate reflection angle estimation on the amplitude of 3D RTM angle gathers: A numerical study","year":2016,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acceleware (Canada)","funders":"","keywords":"Amplitude; Reflection (computer programming); Estimation; Computer science; Acoustics; Optics; Physics; Engineering","score_opus":0.01831933756852378,"score_gpt":0.30593298030611127,"score_spread":0.2876136427375875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2517212619","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7970253,0.00056403555,0.18806267,0.0008335334,0.00009534449,0.000127456,0.00042866598,0.00079112925,0.012071855],"genre_scores_gemma":[0.9665799,0.00009079085,0.032279395,0.000059009133,0.000013601164,0.000040024068,0.00012769345,0.00007114867,0.0007383663],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947685,0.00014715236,0.000028968996,0.000059476813,0.00021672674,0.00007089541],"domain_scores_gemma":[0.9920488,0.0058590267,0.00066337234,0.0004377658,0.00083798554,0.00015304895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016787995,0.00050913927,0.00042640415,0.00075209216,0.00052887143,0.0007337249,0.00065876055,0.0011076613,0.0014576662],"category_scores_gemma":[0.008623233,0.00029264542,0.00045240446,0.0008412873,0.00092472695,0.0008254219,0.0007344731,0.0005268817,0.00014451113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000341555,0.00013798055,0.0102500515,0.00015882766,0.000052081483,0.00072488224,0.00043000758,0.9536558,0.0134569425,0.007262177,0.0009886869,0.012541026],"study_design_scores_gemma":[0.000012236607,0.000031682583,0.00089831924,0.000009648772,0.000005438621,0.000051222676,0.000050993156,0.9961361,0.002147225,0.00046704273,0.0001786216,0.000011530627],"about_ca_topic_score_codex":0.0078091356,"about_ca_topic_score_gemma":0.004528722,"teacher_disagreement_score":0.0078091356,"about_ca_system_score_codex":0.0009330733,"about_ca_system_score_gemma":0.0004730803,"threshold_uncertainty_score":0.015527368},"labels":[],"label_agreement":null},{"id":"W2525039551","doi":"10.1785/0120160122","title":"Cavity Radius Scaling for Underground Explosions in Hard Rock","year":2016,"lang":"en","type":"article","venue":"Bulletin of the Seismological Society of America","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geoscience BC","funders":"Air Force Research Laboratory; Los Alamos National Laboratory; National Nuclear Security Administration; Defense Threat Reduction Agency; Australian Government; U.S. Department of Energy; U.S. Department of Defense","keywords":"Scaling; RADIUS; Geology; Seismology; Geotechnical engineering; Mining engineering; Geometry; Mathematics; Computer science","score_opus":0.025934250288015093,"score_gpt":0.24365375793662825,"score_spread":0.21771950764861314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2525039551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98787284,0.0002776363,0.009734396,0.000027820866,0.0000042534516,0.000022107257,0.00017588476,0.00024641425,0.0016386684],"genre_scores_gemma":[0.9981493,0.00004614591,0.0014948781,0.0000038852177,0.0000015330537,0.000007750448,0.00010351469,0.000028069744,0.00016497646],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999724,0.000026648611,0.000012493883,0.00011253217,0.00008331953,0.000040979463],"domain_scores_gemma":[0.9985343,0.0005042275,0.0005227925,0.000164918,0.00019557882,0.00007815445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003552523,0.00025368866,0.00022586231,0.0009035798,0.0002371197,0.00052639627,0.0005402927,0.00025711526,0.0012684363],"category_scores_gemma":[0.0029038854,0.00029716495,0.00019195314,0.00038054222,0.0005032478,0.0007970914,0.000761848,0.00042136255,0.00023851192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005991679,0.0001336791,0.26631325,0.0002682272,0.00008454612,0.0017691687,0.0016055475,0.12140319,0.5476515,0.0047876555,0.001003426,0.054380562],"study_design_scores_gemma":[0.000037345773,0.00026218413,0.59857595,0.000038291353,0.00004319055,0.0012855217,0.0006444478,0.27532545,0.11714997,0.0028661103,0.0036329878,0.00013852897],"about_ca_topic_score_codex":0.002685761,"about_ca_topic_score_gemma":0.0022059516,"teacher_disagreement_score":0.002685761,"about_ca_system_score_codex":0.0005111831,"about_ca_system_score_gemma":0.00018972736,"threshold_uncertainty_score":0.005340278},"labels":[],"label_agreement":null},{"id":"W2529050713","doi":"10.1177/0013164416667987","title":"Perspectives on the Use of Null Hypothesis Statistical Testing. Part II: Is Null Hypothesis Statistical Testing an Irregular Bulk of Masonry?","year":2016,"lang":"en","type":"editorial","venue":"Educational and Psychological Measurement","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Null hypothesis; Statistical hypothesis testing; Null (SQL); Alternative hypothesis; Statistical analysis; Statistics; Null distribution; Mathematics; Econometrics; Test statistic; Computer science; Data mining","score_opus":0.2622178999809283,"score_gpt":0.3365527785065162,"score_spread":0.0743348785255879,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2529050713","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00003290385,0.062625095,0.001532318,0.122096166,0.8125397,0.000019314088,0.000061816754,0.00004907838,0.0010435274],"genre_scores_gemma":[0.00054299843,0.021036878,0.00074444944,0.039259497,0.93672305,0.000042727817,0.000019891611,0.000058557605,0.001571948],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.94227785,0.019193923,0.009569594,0.0045918217,0.023459757,0.0009070438],"domain_scores_gemma":[0.4898607,0.4361389,0.0077986373,0.00836457,0.05023435,0.0076027624],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.085902944,0.0041843075,0.008837526,0.00767444,0.00410656,0.014309826,0.009827795,0.02453602,0.0047737584],"category_scores_gemma":[0.27017263,0.003021593,0.003948033,0.0039473283,0.029690202,0.014897836,0.00384317,0.069111824,0.0050985436],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000071037655,0.000026511212,0.0000838097,0.0011066863,0.00010412902,0.00014264275,0.00016094661,0.00012988823,0.000082811006,0.00985912,0.96510303,0.02312942],"study_design_scores_gemma":[0.00013219463,0.000086866676,0.0005628931,0.003219508,0.00013481994,0.0005436613,0.00020973307,0.0006638482,0.00016006861,0.048545357,0.94562435,0.000116690964],"about_ca_topic_score_codex":0.0038417699,"about_ca_topic_score_gemma":0.007153598,"teacher_disagreement_score":0.9140971,"about_ca_system_score_codex":0.0062221563,"about_ca_system_score_gemma":0.0077544698,"threshold_uncertainty_score":0.45430362},"labels":[],"label_agreement":null},{"id":"W2530846570","doi":"","title":"Evaluation of shotcrete rock support systems in underground mines by a new non-intrusive technique","year":2002,"lang":"en","type":"article","venue":"CIM bulletin","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Humanities; Shotcrete; Forestry; Geology; Art; Geography; Geotechnical engineering","score_opus":0.02667184152244159,"score_gpt":0.2576446997887751,"score_spread":0.2309728582663335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2530846570","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889026,0.0002177112,0.0099812,0.000022907627,0.000015359446,0.00013667339,0.000049465376,0.00007268887,0.0006013874],"genre_scores_gemma":[0.9735163,0.0003787829,0.023753908,0.000023153088,0.000007984982,0.000101733975,0.0001018563,0.000014892508,0.0021013105],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99886835,0.00017856696,0.00007985224,0.0001358576,0.00065818784,0.000079064914],"domain_scores_gemma":[0.99870646,0.00044986015,0.00015420101,0.00009238972,0.0005178619,0.00007916617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081093766,0.00041346665,0.00056911696,0.00066698703,0.0003783047,0.0005500839,0.000579094,0.00065400626,0.0011209436],"category_scores_gemma":[0.0018242109,0.00028073348,0.00038916233,0.00033535747,0.0004213979,0.0005218499,0.00051413657,0.00025701747,0.00023323901],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008313749,0.00036855185,0.014466309,0.0004518336,0.000032917847,0.00021322296,0.0006714091,0.0027021545,0.91218567,0.000102834194,0.000093713345,0.06787998],"study_design_scores_gemma":[0.00014047958,0.0245067,0.23483616,0.00009533357,0.00023188064,0.000960817,0.003336051,0.06084244,0.67000055,0.00015414749,0.0047947476,0.00010073775],"about_ca_topic_score_codex":0.0025322312,"about_ca_topic_score_gemma":0.0064080795,"teacher_disagreement_score":0.0025322312,"about_ca_system_score_codex":0.0003694024,"about_ca_system_score_gemma":0.00041435048,"threshold_uncertainty_score":0.005034983},"labels":[],"label_agreement":null},{"id":"W2546653982","doi":"10.1016/j.tecto.2016.11.002","title":"Continuous estimation of 3-D reflector orientations along 2-D deep seismic reflection profiles","year":2016,"lang":"en","type":"article","venue":"Tectonophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geology; Reflection (computer programming); Terrane; Azimuth; Seismology; Reflector (photography); Offset (computer science); Vertical seismic profile; Geometry; Geodesy; Optics; Tectonics; Physics","score_opus":0.012940128510517538,"score_gpt":0.2739957088495846,"score_spread":0.26105558033906706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2546653982","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50826406,0.00025520398,0.48889205,0.000069716814,0.000027201206,0.000022183898,0.0006494078,0.0008909101,0.0009292296],"genre_scores_gemma":[0.9026173,0.00023042607,0.09544324,0.000020190919,0.000023572662,0.000016994092,0.0007433876,0.000068544476,0.0008363418],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999866,0.00001805694,0.0000072648363,0.000044074197,0.00003805689,0.000026493779],"domain_scores_gemma":[0.9996805,0.00009784206,0.00006264651,0.000047341677,0.00007722264,0.000034446894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002663854,0.0006589065,0.0003623171,0.0006941298,0.00012368767,0.0005874713,0.0003651017,0.00053061574,0.000585278],"category_scores_gemma":[0.000943523,0.0004767065,0.00041227214,0.0005402126,0.00021987075,0.00048607073,0.0004777327,0.0005024708,0.0005395732],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009715382,0.000237281,0.043795913,0.00023936233,0.00018871875,0.00038640216,0.00037880836,0.24213667,0.38209635,0.0014252333,0.0013880953,0.32675564],"study_design_scores_gemma":[0.00003164977,0.00007604015,0.036522377,0.0000149214775,0.000054392807,0.00016849842,0.00009225074,0.93215424,0.029537056,0.0005152522,0.0007939973,0.000039426322],"about_ca_topic_score_codex":0.0027795197,"about_ca_topic_score_gemma":0.0058560953,"teacher_disagreement_score":0.0027795197,"about_ca_system_score_codex":0.00013615807,"about_ca_system_score_gemma":0.00045597416,"threshold_uncertainty_score":0.0055267215},"labels":[],"label_agreement":null},{"id":"W2552074158","doi":"10.1002/2016jg003518","title":"Quantitative, nondestructive estimates of coarse root biomass in a temperate pine forest using 3‐D ground‐penetrating radar (GPR)","year":2016,"lang":"en","type":"article","venue":"Journal of Geophysical Research Biogeosciences","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; McMaster University Medical Centre","funders":"","keywords":"Ground-penetrating radar; Biomass (ecology); Soil science; Water content; Environmental science; Temperate climate; Sampling (signal processing); Volume (thermodynamics); Radar; Allometry; Geology; Remote sensing; Botany; Physics; Geotechnical engineering; Biology; Optics","score_opus":0.08549683974532714,"score_gpt":0.39174743559708497,"score_spread":0.30625059585175785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2552074158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964657,0.000078684425,0.003168052,0.0000021014596,6.3544724e-7,0.00000457242,0.00012013606,0.000027363472,0.00013283816],"genre_scores_gemma":[0.9953387,0.00004031269,0.004389703,0.000003771854,0.0000015137591,0.0000065995696,0.00012282495,0.000004804463,0.00009169584],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999107,0.000011055441,0.0000048254915,0.000034304467,0.000029753117,0.000009302622],"domain_scores_gemma":[0.99980575,0.00007081965,0.000039722894,0.000018435867,0.000043189742,0.000022152302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002319855,0.00020933768,0.00016801074,0.00054342125,0.000109576176,0.00021832802,0.00017969667,0.00017335164,0.00024051007],"category_scores_gemma":[0.00030729774,0.00012336328,0.00010725134,0.00018968829,0.00013887191,0.00020265413,0.000115511415,0.00010769622,0.00009007564],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032951945,0.00006400735,0.117359385,0.000078461446,0.000032256852,0.00016945426,0.00019375552,0.0038765632,0.85531163,0.000052361283,0.000048199032,0.022484438],"study_design_scores_gemma":[0.000013193207,0.00017248515,0.96184105,0.000005452646,0.000021807402,0.00019227894,0.00012746624,0.013439873,0.023897665,0.000095020005,0.00017741579,0.000016270305],"about_ca_topic_score_codex":0.004371029,"about_ca_topic_score_gemma":0.0052455678,"teacher_disagreement_score":0.004371029,"about_ca_system_score_codex":0.000119549775,"about_ca_system_score_gemma":0.00006264003,"threshold_uncertainty_score":0.008691132},"labels":[],"label_agreement":null},{"id":"W2553022657","doi":"10.3997/2214-4609-pdb.26.sc_-_01_short_course","title":"Two Decades Of Evolution Of Hardrock Seismic Imaging Methods Applied To Nuclear Waste Disposal In Finland","year":2005,"lang":"en","type":"article","venue":"4th Congress of the Balkan Geophysical Society","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Borehole; Geology; Mining engineering; Geophysical imaging; Seismology; Geotechnical engineering","score_opus":0.005794840651894866,"score_gpt":0.26742444246722485,"score_spread":0.26162960181533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2553022657","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14099346,0.36033553,0.24014632,0.026126986,0.020820735,0.00043432496,0.0008796284,0.0007427133,0.20952027],"genre_scores_gemma":[0.33745888,0.16696312,0.2068598,0.005957826,0.008953605,0.00028059646,0.0016493519,0.0008202948,0.27105656],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99843127,0.00030754926,0.00010380872,0.00021885181,0.0008001965,0.00013836907],"domain_scores_gemma":[0.9964888,0.0010350302,0.00014279432,0.00017424974,0.0018987692,0.00026038144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004618253,0.0007622365,0.00044255017,0.0022089193,0.0007330714,0.0018899767,0.00077376346,0.0020966977,0.0038611295],"category_scores_gemma":[0.005057243,0.00038147735,0.0004981243,0.001818858,0.00072090473,0.0013368158,0.0018298319,0.0019453225,0.0016839668],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026569187,0.00015607903,0.0033558265,0.00046284398,0.000041602638,0.00041963696,0.0009541052,0.001609035,0.015898539,0.006826556,0.021195075,0.94881487],"study_design_scores_gemma":[0.000050159262,0.00079905544,0.026611293,0.0009196708,0.00008347572,0.0018122634,0.00078800117,0.0037772236,0.051582612,0.006913907,0.9065304,0.00013195937],"about_ca_topic_score_codex":0.0018778221,"about_ca_topic_score_gemma":0.0034997517,"teacher_disagreement_score":0.004618253,"about_ca_system_score_codex":0.0015759667,"about_ca_system_score_gemma":0.0009186044,"threshold_uncertainty_score":0.024423957},"labels":[],"label_agreement":null},{"id":"W2553334478","doi":"","title":"GPR Mapping of a Buried Paleolithic Landscape Near Kathu, South Africa","year":2014,"lang":"en","type":"article","venue":"2014 AGU Fall Meeting","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ground-penetrating radar; Geography; Archaeology; Middle Paleolithic; Geology; Remote sensing; Cartography; Cave; Radar; Computer science","score_opus":0.014795070144453262,"score_gpt":0.21769573123368854,"score_spread":0.20290066108923527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2553334478","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99755585,0.000043947042,0.00040903894,0.000035887417,0.0000021543956,0.000010531218,0.00014510239,0.000010662423,0.0017867229],"genre_scores_gemma":[0.9984926,0.000088521614,0.0007538464,0.0000064535084,0.0000020507732,0.00000606003,0.00009499537,0.0000042941815,0.00055127474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999523,0.000004348016,0.000002290186,0.000009273609,0.000011726439,0.000020139027],"domain_scores_gemma":[0.9999621,0.0000078574285,0.000007400629,0.0000041908565,0.000012482828,0.000005910241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006899454,0.00015052305,0.00013888329,0.0005826392,0.00048824417,0.0005013451,0.0001954871,0.00027508364,0.00089721027],"category_scores_gemma":[0.00025775708,0.00012786362,0.00008058858,0.00090563286,0.00027495596,0.00028778546,0.00044691094,0.00014717122,0.00022144784],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011252016,0.00036883118,0.3774304,0.0006667896,0.00010973291,0.01736577,0.025695736,0.018516954,0.33566514,0.00297061,0.0022009797,0.2178839],"study_design_scores_gemma":[0.00003445933,0.00015219749,0.960265,0.00010753737,0.00006271905,0.0023610306,0.012811397,0.012017399,0.0057580676,0.00033004174,0.006071182,0.000028907127],"about_ca_topic_score_codex":0.022895584,"about_ca_topic_score_gemma":0.04806787,"teacher_disagreement_score":0.022895584,"about_ca_system_score_codex":0.00023468026,"about_ca_system_score_gemma":0.00035477083,"threshold_uncertainty_score":0.045524597},"labels":[],"label_agreement":null},{"id":"W2558294245","doi":"10.3997/1783-0604.2016034","title":"Physical characterisation of soils recovered from the ANZAC battlefield","year":2017,"lang":"en","type":"article","venue":"Near Surface Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McGill University","keywords":"Geophysics; Hydrogeology; Geology; Battlefield; Ground-penetrating radar; Economic geology; Environmental geology; Dielectric; Mineralogy; Seismology; Geotechnical engineering; Radar; Metamorphic petrology; Engineering; Electrical engineering; Telecommunications; History","score_opus":0.0207930587404057,"score_gpt":0.26086689400956564,"score_spread":0.24007383526915993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2558294245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979551,0.00014952559,0.000560195,0.000014243977,0.000006197184,0.000031453776,0.00028600844,0.0000077014,0.0009895826],"genre_scores_gemma":[0.9955776,0.0003256369,0.0019569953,0.00003843923,0.000009822885,0.000045390858,0.0007182699,0.000009089693,0.0013187735],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997893,0.000018631328,0.000011814365,0.000055766013,0.000094856936,0.00002970576],"domain_scores_gemma":[0.9998473,0.000018923498,0.000030352028,0.000011141454,0.00007163953,0.000020582149],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018599366,0.00042381123,0.00028518576,0.0018075005,0.0007918507,0.0005373704,0.0003417701,0.0003862458,0.0006683672],"category_scores_gemma":[0.0002580977,0.00014396744,0.00011723394,0.0012304438,0.0005033454,0.0002496235,0.00032977713,0.00023589795,0.00024209592],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040627384,0.00023912537,0.07699447,0.0003009215,0.000039121343,0.0018242946,0.0024417762,0.0007301389,0.8907694,0.00016002561,0.00020353892,0.025890881],"study_design_scores_gemma":[0.000024686497,0.0010694297,0.8702794,0.00006977023,0.000062684936,0.0025126925,0.008901671,0.0012289201,0.10702063,0.00017192315,0.008615789,0.000042479354],"about_ca_topic_score_codex":0.005198371,"about_ca_topic_score_gemma":0.018819368,"teacher_disagreement_score":0.005198371,"about_ca_system_score_codex":0.00026545065,"about_ca_system_score_gemma":0.0002971865,"threshold_uncertainty_score":0.01033622},"labels":[],"label_agreement":null},{"id":"W2561022021","doi":"","title":"Evaluating Vadose Zone Moisture Dynamics using Ground-Penetrating Radar","year":2012,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Vadose zone; Ground-penetrating radar; Radar; Moisture; Geology; Dynamics (music); Water content; Remote sensing; Environmental science; Groundwater; Geotechnical engineering; Meteorology; Geography; Engineering; Aerospace engineering; Acoustics; Physics","score_opus":0.024503562866792783,"score_gpt":0.2641748676208406,"score_spread":0.2396713047540478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2561022021","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993536,0.000113969196,0.0051541133,0.000013890316,0.00000390012,0.000015550053,0.00023869897,0.00008862667,0.0008352861],"genre_scores_gemma":[0.9951074,0.00022151909,0.003918501,0.000010205915,0.0000025746187,0.000008728108,0.00031673608,0.00000864915,0.00040566042],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992025,0.000008439719,0.0000034575942,0.000019622523,0.00003295789,0.000015343017],"domain_scores_gemma":[0.9998901,0.000032311687,0.000026927844,0.000010713772,0.000029549896,0.000010404682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015531213,0.00022472085,0.00013161609,0.00047506075,0.000088037654,0.0004201825,0.00016282829,0.00023366504,0.00044758414],"category_scores_gemma":[0.0003284737,0.00007722303,0.000114626906,0.0003974339,0.000073049545,0.0004050684,0.00017890068,0.00014646132,0.0001932513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044030423,0.0002739244,0.21888177,0.00022366902,0.000104190534,0.0007924353,0.00047020454,0.052026134,0.5059657,0.0005578389,0.0012040383,0.21905974],"study_design_scores_gemma":[0.000024476238,0.0010146392,0.62223816,0.000055737335,0.000095792435,0.0006239271,0.0013172169,0.20608442,0.16372092,0.00038904365,0.004374907,0.00006071055],"about_ca_topic_score_codex":0.0010696083,"about_ca_topic_score_gemma":0.0014396886,"teacher_disagreement_score":0.0010696083,"about_ca_system_score_codex":0.00010113438,"about_ca_system_score_gemma":0.00007456469,"threshold_uncertainty_score":0.0021267533},"labels":[],"label_agreement":null},{"id":"W2561521596","doi":"","title":"Geophysical Imaging and Numerical Modelling of Fractures in Concrete","year":2010,"lang":"en","type":"dissertation","venue":"Library and Archives Canada (Government of Canada)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Geophysical imaging; Geophysics; Geology; Seismology; Engineering","score_opus":0.0027472858433416833,"score_gpt":0.16453319819681447,"score_spread":0.16178591235347278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2561521596","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16025312,0.0007402856,0.8249857,0.00025747076,0.00007288148,0.00011718187,0.000529378,0.00095302303,0.012091004],"genre_scores_gemma":[0.8443938,0.0007236564,0.14717923,0.00004124581,0.0000264252,0.00019361681,0.00026651705,0.000122008634,0.0070535513],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987674,0.000029392755,0.0000088056495,0.000020764257,0.000051960396,0.0000122558795],"domain_scores_gemma":[0.99984944,0.00006907587,0.000025059027,0.000024038434,0.000024000681,0.0000084170415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022809462,0.00037889104,0.00030032787,0.00048959174,0.00021879376,0.0007036334,0.0005826734,0.0009418215,0.0013692016],"category_scores_gemma":[0.0008708117,0.00040257213,0.0004233493,0.00044030626,0.00070870225,0.0005009531,0.0005227455,0.00044199152,0.0003380429],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000068998106,0.000010253194,0.0004175666,0.000024617157,0.000004618974,0.000048629292,0.000029628025,0.9859956,0.004214433,0.0050410945,0.00007250478,0.004134182],"study_design_scores_gemma":[0.0000020428708,0.0000064576875,0.00022097783,0.000003991395,0.0000012988795,0.000025797071,0.000009522641,0.99703276,0.00096324674,0.0010998305,0.00062985555,0.0000042449533],"about_ca_topic_score_codex":0.004294251,"about_ca_topic_score_gemma":0.0032351343,"teacher_disagreement_score":0.004294251,"about_ca_system_score_codex":0.00050222466,"about_ca_system_score_gemma":0.0006168334,"threshold_uncertainty_score":0.008538485},"labels":[],"label_agreement":null},{"id":"W2561540399","doi":"10.1515/hf-2014-0287","title":"Determination of log moisture content using ground penetrating radar (GPR). Part 2. Propagation velocity (PV) method","year":2015,"lang":"en","type":"article","venue":"Holzforschung","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"FPInnovations; University of New Brunswick","funders":"","keywords":"Ground-penetrating radar; Water content; Balsam; Permittivity; Dielectric; Partial least squares regression; Radar; Soil science; Environmental science; Black spruce; Bark (sound); Moisture; Materials science; Atmospheric sciences; Composite material; Geology; Mathematics; Geotechnical engineering; Physics; Geography; Acoustics; Forestry; Engineering; Statistics; Taiga","score_opus":0.09576073778744328,"score_gpt":0.31709319197146923,"score_spread":0.22133245418402597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2561540399","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85191476,0.0015200053,0.14218433,0.00002763555,0.000030335186,0.00016091466,0.0013515591,0.0008232465,0.0019871076],"genre_scores_gemma":[0.95216596,0.0007434328,0.04422925,0.000018306617,0.000009467921,0.000093268296,0.0010375036,0.00005232696,0.0016504808],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99983287,0.000023361494,0.0000106604475,0.00005307479,0.00006810766,0.000012052965],"domain_scores_gemma":[0.999824,0.000060913233,0.000042812182,0.000017889239,0.00004391564,0.0000106217085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029929032,0.00059881917,0.00027630432,0.0009980433,0.0001318486,0.000402983,0.00028829047,0.00025123326,0.0007410658],"category_scores_gemma":[0.00063418195,0.00021885177,0.00021745027,0.00067480054,0.00015585033,0.00037420116,0.00018277745,0.0002571724,0.0004269486],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030094842,0.000113185044,0.06314091,0.00025720283,0.000049160117,0.00012773486,0.000096443146,0.0046691867,0.76599973,0.00016389143,0.00028098814,0.16480061],"study_design_scores_gemma":[0.000025175199,0.00050149945,0.42980778,0.00003570836,0.00010332044,0.0005487111,0.00012801273,0.067000054,0.49885428,0.00028552333,0.0026523196,0.000057606216],"about_ca_topic_score_codex":0.0023247434,"about_ca_topic_score_gemma":0.0025561836,"teacher_disagreement_score":0.0023247434,"about_ca_system_score_codex":0.00013734888,"about_ca_system_score_gemma":0.0001598915,"threshold_uncertainty_score":0.0046224594},"labels":[],"label_agreement":null},{"id":"W2564684664","doi":"10.1115/ipc2016-64235","title":"Use of Advanced Processing Techniques of High Density LiDAR in Place of Survey for Cost and Schedule Reductions on Early Phase Pipeline Projects: Capital Project Results","year":2016,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SNC-Lavalin (Canada)","funders":"","keywords":"Schedule; Computer science; Pipeline (software); Data collection; Lidar; Work (physics); Survey data collection; Field (mathematics); Database; Remote sensing; Systems engineering; Data science; Engineering; Geography","score_opus":0.060364451197730803,"score_gpt":0.33225292642492016,"score_spread":0.27188847522718934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2564684664","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83579946,0.00042325634,0.122758016,0.0005398555,0.00003765145,0.0014799271,0.002068714,0.0014247075,0.035468444],"genre_scores_gemma":[0.86552215,0.00038762897,0.12479466,0.000047699756,0.000012398709,0.00036405047,0.0011947427,0.00017256351,0.007504004],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975497,0.000752796,0.00010234286,0.0001528075,0.0012178931,0.0002243301],"domain_scores_gemma":[0.996097,0.0009883702,0.00035835025,0.0005851059,0.0017921246,0.00017910002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028788995,0.0006769713,0.00039320975,0.001045025,0.00048559371,0.0009171151,0.0006915208,0.00048390188,0.0036067117],"category_scores_gemma":[0.0037446786,0.00019730933,0.0003782093,0.0014562281,0.000379997,0.0010995154,0.00062146,0.00036169865,0.0008940362],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007936702,0.0020749695,0.03931849,0.00056012993,0.00008303219,0.00053575524,0.0007021939,0.041504715,0.06257707,0.0015980692,0.0072159884,0.8430359],"study_design_scores_gemma":[0.00082842284,0.015214805,0.36558518,0.00023027035,0.00039263756,0.0018755419,0.0039044996,0.19834712,0.31753996,0.0030450616,0.092644796,0.00039171166],"about_ca_topic_score_codex":0.009377238,"about_ca_topic_score_gemma":0.01363962,"teacher_disagreement_score":0.009377238,"about_ca_system_score_codex":0.00097636116,"about_ca_system_score_gemma":0.0015508588,"threshold_uncertainty_score":0.018645346},"labels":[],"label_agreement":null},{"id":"W2566646983","doi":"10.1515/hf-2014-0286","title":"Determination of log moisture content using ground penetrating radar (GPR). Part 1. Partial least squares (PLS) method","year":2015,"lang":"en","type":"article","venue":"Holzforschung","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"FPInnovations; University of New Brunswick","funders":"","keywords":"Ground-penetrating radar; Partial least squares regression; Water content; Radar; Mean squared error; SIGNAL (programming language); Soil science; Remote sensing; Geology; Mathematics; Statistics; Engineering; Geotechnical engineering; Computer science","score_opus":0.10453951477343662,"score_gpt":0.32709303566952014,"score_spread":0.22255352089608352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2566646983","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6844003,0.0006532825,0.31181598,0.00004404615,0.000020159108,0.000061503066,0.0007095854,0.0012959876,0.0009991073],"genre_scores_gemma":[0.920507,0.0003456798,0.07759387,0.000016535192,0.0000072482844,0.000036034573,0.0005215631,0.00005804058,0.0009140449],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998616,0.000031354502,0.000007379145,0.00004452087,0.000048388196,0.0000067383403],"domain_scores_gemma":[0.9998348,0.000076851466,0.000030761425,0.000019611229,0.000032742304,0.0000051595707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037570408,0.00064212224,0.00030006457,0.0005222985,0.00009692704,0.00027602442,0.00025093186,0.00025011352,0.0006598828],"category_scores_gemma":[0.0006175672,0.00020227616,0.00026318812,0.00047020186,0.00016415415,0.00040309917,0.00017052967,0.00023499037,0.00032605382],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003408329,0.00012221572,0.034793053,0.00029183415,0.00009367066,0.0001380018,0.000085259475,0.04197772,0.6375297,0.00024076157,0.0004633831,0.2839235],"study_design_scores_gemma":[0.000027953723,0.00034342508,0.13256693,0.000021328993,0.00010666735,0.00039914463,0.00012136524,0.51315826,0.35099277,0.0005263554,0.0016722771,0.00006357977],"about_ca_topic_score_codex":0.0013093556,"about_ca_topic_score_gemma":0.0015287697,"teacher_disagreement_score":0.0013093556,"about_ca_system_score_codex":0.00008420608,"about_ca_system_score_gemma":0.0001564283,"threshold_uncertainty_score":0.0026034117},"labels":[],"label_agreement":null},{"id":"W2576664840","doi":"10.1007/978-3-319-52773-4_61","title":"Aspects of Thermal Fracturing of Clays with Electromagnetic Excitation","year":2017,"lang":"en","type":"book-chapter","venue":"Springer series in geomechanics and geoengineering","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Multiphysics; Mechanics; Isotropy; Fluid dynamics; Heat transfer; Materials science; Biot number; Physics; Thermodynamics; Finite element method; Optics","score_opus":0.006430216768519099,"score_gpt":0.19439737552056327,"score_spread":0.18796715875204417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2576664840","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21219535,0.08968513,0.17318596,0.0023037444,0.002673174,0.00011411525,0.0002484538,0.0003663036,0.5192277],"genre_scores_gemma":[0.8853434,0.018553313,0.0073879748,0.00015362914,0.0009531294,0.000048250495,0.0001263697,0.00009046649,0.08734354],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998789,0.000020514133,0.000005122701,0.000016720585,0.000060991624,0.000017683882],"domain_scores_gemma":[0.99991405,0.00004134573,0.00001112244,0.00001223955,0.000012859999,0.000008375969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012046352,0.0004971253,0.0004522986,0.00057778496,0.00030531603,0.000889938,0.0006741979,0.00056857266,0.0054381043],"category_scores_gemma":[0.00031171853,0.00026250372,0.0004984102,0.000430979,0.0011700847,0.0006776113,0.0006961796,0.00066979235,0.00055849616],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024616462,0.00020133752,0.0011254573,0.0016178248,0.00011949753,0.0023917232,0.0007984852,0.118390225,0.114946045,0.5927462,0.010815251,0.15660186],"study_design_scores_gemma":[0.00006225273,0.00043428212,0.009688985,0.00023166981,0.00005093208,0.005132739,0.0005678144,0.16546498,0.037361853,0.6919046,0.08899924,0.000100654615],"about_ca_topic_score_codex":0.00029757436,"about_ca_topic_score_gemma":0.00036346202,"teacher_disagreement_score":0.0054381043,"about_ca_system_score_codex":0.00032394257,"about_ca_system_score_gemma":0.00017230093,"threshold_uncertainty_score":0.018192291},"labels":[],"label_agreement":null},{"id":"W2579601206","doi":"10.1007/s10661-017-5770-4","title":"Ground-penetrating radar (GPR) responses for sub-surface salt contamination and solid waste: modeling and controlled lysimeter studies","year":2017,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Wageningen University and Research; National Research Council Sri Lanka","keywords":"Ground-penetrating radar; Lysimeter; Plume; Water table; Groundwater; Environmental science; Soil science; Geology; Amplitude; Radar; Remote sensing; Hydrology (agriculture); Soil water; Geotechnical engineering; Meteorology; Optics; Engineering","score_opus":0.03473150062150257,"score_gpt":0.33932312319140334,"score_spread":0.3045916225699008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2579601206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9875946,0.000070075424,0.01164038,0.00003065348,0.000005819091,0.000021905713,0.00011698505,0.00007006206,0.00044947694],"genre_scores_gemma":[0.99793893,0.00005418289,0.0017219336,0.0000058352507,0.000001440892,0.000010877424,0.00006272625,0.0000095938385,0.000194344],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997397,0.00009187381,0.00001859111,0.00005897209,0.000053464046,0.000037282865],"domain_scores_gemma":[0.99885905,0.00076624576,0.00010838933,0.000073182826,0.00017023389,0.00002288495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086395885,0.0005326952,0.0004780049,0.0002325646,0.00022369067,0.00053290575,0.0005481753,0.00078172615,0.00045762642],"category_scores_gemma":[0.0012627917,0.00023787192,0.0004942936,0.00028041704,0.0005295754,0.00072815415,0.0002450667,0.000385243,0.000107021275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009768836,0.00067740126,0.016453728,0.00011175842,0.000059593804,0.00014179284,0.00014276274,0.9006374,0.069731876,0.00055500964,0.00025455403,0.010257306],"study_design_scores_gemma":[0.000055527697,0.0004169533,0.0066640326,0.0000044492344,0.000038519625,0.00003769592,0.00006339847,0.9558919,0.036542937,0.00014760028,0.00011307908,0.000023908851],"about_ca_topic_score_codex":0.0080760745,"about_ca_topic_score_gemma":0.0033755135,"teacher_disagreement_score":0.0080760745,"about_ca_system_score_codex":0.0005145278,"about_ca_system_score_gemma":0.00046381608,"threshold_uncertainty_score":0.016058147},"labels":[],"label_agreement":null},{"id":"W2581802593","doi":"10.2528/pierc16062704","title":"READING DISTANCE ESTIMATION FOR VEHICLE RKE SYSTEMS","year":2016,"lang":"en","type":"article","venue":"Progress In Electromagnetics Research C","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Atlantic Industries (Canada)","funders":"National Research Foundation of Korea; National Research Foundation","keywords":"Reading (process); Estimation; Computer science; Engineering; Political science; Systems engineering; Law","score_opus":0.03548274775809274,"score_gpt":0.3742925828853547,"score_spread":0.338809835127262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2581802593","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06379479,0.00021154499,0.9331406,0.00005985418,0.000026989559,0.000021839185,0.000073807765,0.0010284137,0.0016421635],"genre_scores_gemma":[0.8747749,0.00015661464,0.123298325,0.000033251657,0.00001290769,0.000032592565,0.000286681,0.000084363426,0.0013204536],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99945754,0.00014473048,0.000034929948,0.0001246702,0.00018879907,0.00004927185],"domain_scores_gemma":[0.9988469,0.0004231697,0.00018281453,0.00019396286,0.00030811067,0.000044979533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033225692,0.00074920687,0.0007217605,0.00084968115,0.0003984544,0.00069234736,0.0009376786,0.0007447011,0.0012714978],"category_scores_gemma":[0.0024659985,0.00034670532,0.00040610056,0.00050147105,0.00028671135,0.0012940173,0.0010081509,0.00060136,0.00087091624],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019692413,0.00007439444,0.008833536,0.00019296339,0.00008638197,0.0002710479,0.00020452883,0.8574819,0.026936963,0.004407994,0.00072848075,0.10058491],"study_design_scores_gemma":[0.000005595606,0.000048522208,0.0009184958,0.000006275441,0.000009327348,0.00012529606,0.00003790803,0.9872229,0.00965703,0.000855357,0.0010954448,0.000017839839],"about_ca_topic_score_codex":0.0018600702,"about_ca_topic_score_gemma":0.0015138519,"teacher_disagreement_score":0.0018600702,"about_ca_system_score_codex":0.0004547531,"about_ca_system_score_gemma":0.000411016,"threshold_uncertainty_score":0.0042535663},"labels":[],"label_agreement":null},{"id":"W2585208949","doi":"10.1002/2016jf004018","title":"Spatial variability of active layer thickness detected by ground‐penetrating radar in the Qilian Mountains, Western China","year":2017,"lang":"en","type":"article","venue":"Journal of Geophysical Research Earth Surface","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":104,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Ground-penetrating radar; Geology; China; Radar; Remote sensing; Seismology; Layer (electronics); Geomorphology; Geodesy; Geography; Archaeology; Materials science; Composite material; Engineering; Aerospace engineering","score_opus":0.04017700858651747,"score_gpt":0.35416824709510397,"score_spread":0.3139912385085865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2585208949","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99977213,0.000024009358,0.00004502059,0.0000057773054,6.7412043e-7,0.0000016186167,0.00007359058,0.000002502336,0.00007460418],"genre_scores_gemma":[0.9996718,0.000013470043,0.000052702002,0.000005439956,0.0000015947581,0.0000037458683,0.00016597212,5.957908e-7,0.000084753854],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999826,0.000026211153,0.00001896521,0.00005310617,0.000037414888,0.00003831699],"domain_scores_gemma":[0.999521,0.000071715804,0.00011428828,0.000033071785,0.00014808378,0.00011178729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045566473,0.00022407257,0.0002094485,0.0009862526,0.00033173597,0.00034368885,0.00030020767,0.00024274632,0.00032020942],"category_scores_gemma":[0.00043118035,0.00018639986,0.00018252648,0.0010406342,0.0002892039,0.00023478185,0.00027862992,0.00011968551,0.000060504848],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050154187,0.00001773628,0.98876,0.000018601966,0.00005333099,0.00015806395,0.000531641,0.00028105374,0.0064300755,0.00003749385,0.00007971631,0.0035821593],"study_design_scores_gemma":[0.0000016922141,0.000010840768,0.999466,0.0000012683287,0.000005566673,0.000019445575,0.0001045873,0.00027589925,0.000054161414,0.0000045337074,0.000054059343,0.0000018232382],"about_ca_topic_score_codex":0.033821777,"about_ca_topic_score_gemma":0.045788825,"teacher_disagreement_score":0.033821777,"about_ca_system_score_codex":0.00044056113,"about_ca_system_score_gemma":0.000347957,"threshold_uncertainty_score":0.067249775},"labels":[],"label_agreement":null},{"id":"W2588653861","doi":"10.3130/aijs.71.55_2","title":"IDENTIFICATION OF DAMPING FACTOR CONSIDERING ITS LOWER LIMIT BY SPECTRAL RATIO INVERSION : Application to borehole array records at hard rock sites and evaluation of attenuation characteristics","year":2006,"lang":"en","type":"article","venue":"Journal of Structural and Construction Engineering (Transactions of AIJ)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"L'Alliance Boviteq","funders":"","keywords":"Borehole; Attenuation; Damping ratio; Inversion (geology); Limit (mathematics); Geology; Inverse transform sampling; Geotechnical engineering; Acoustics; Seismology; Physics; Optics; Mathematics; Vibration; Mathematical analysis","score_opus":0.011440844255496737,"score_gpt":0.2260334432946976,"score_spread":0.21459259903920086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588653861","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29933575,0.000072303315,0.69946724,0.000050600876,0.000005176555,0.00002780447,0.00006853288,0.0004908038,0.00048173376],"genre_scores_gemma":[0.8952076,0.00005728005,0.10430891,0.0000072991393,0.0000062863014,0.00003624368,0.00011666689,0.00004094003,0.0002188362],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99979717,0.000048121252,0.00001137174,0.00005894804,0.00006418269,0.00002022929],"domain_scores_gemma":[0.99947387,0.00024701378,0.00008826315,0.000068421556,0.00009491087,0.000027451288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067327905,0.00054582336,0.00030739413,0.0007833373,0.00016333055,0.000387182,0.00060979475,0.00064738776,0.00042434118],"category_scores_gemma":[0.0022687085,0.00022385048,0.00029224696,0.0003524781,0.00034582062,0.0007936054,0.00033454993,0.00036872405,0.00020504462],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004468653,0.00024641558,0.039748132,0.00030084263,0.00007479758,0.00042187885,0.0007200752,0.17128208,0.4817584,0.004345263,0.0006091474,0.30004618],"study_design_scores_gemma":[0.00001575641,0.00007258421,0.010439426,0.000010638336,0.000017231516,0.00023376613,0.000064884,0.9601131,0.02766123,0.00092971115,0.00040663063,0.000035044977],"about_ca_topic_score_codex":0.0022860852,"about_ca_topic_score_gemma":0.002460617,"teacher_disagreement_score":0.0022860852,"about_ca_system_score_codex":0.00017404194,"about_ca_system_score_gemma":0.00032981738,"threshold_uncertainty_score":0.0045455694},"labels":[],"label_agreement":null},{"id":"W2588820558","doi":"","title":"Radiation induced defects in quartz and applications to the Arrow uranium deposit in the Athabasca basin, Saskatchewan","year":2016,"lang":"en","type":"dissertation","venue":"University Library - University of Saskatchewan (University of Saskatchewan)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Uranium; Quartz; Structural basin; Uranium ore; Arrow; Geology; Geochemistry; Mining engineering; Mineralogy; Geomorphology; Materials science; Metallurgy; Paleontology","score_opus":0.006279745124527183,"score_gpt":0.18095277459689874,"score_spread":0.17467302947237157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588820558","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933067,0.00042056656,0.00029387145,0.00019650276,0.0000048796715,0.000026793186,0.000548263,0.000014810127,0.0051875673],"genre_scores_gemma":[0.99623615,0.0006148279,0.0005439196,0.00003165637,0.0000015399675,0.000013645615,0.00013122828,0.000004958425,0.0024221523],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997414,0.000031316606,0.00001726007,0.00005347836,0.00009805568,0.00005851555],"domain_scores_gemma":[0.9996326,0.000066038534,0.00004681346,0.000017625405,0.0002075326,0.000029355188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036900185,0.00027672085,0.00026559594,0.0022037788,0.0015695348,0.0010529035,0.0006938246,0.00052375224,0.001549267],"category_scores_gemma":[0.0005439747,0.00021746395,0.0002505859,0.003789207,0.0008918581,0.00030953565,0.0006858805,0.00029586742,0.00017145429],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006211707,0.00013276756,0.80834156,0.00042428248,0.0001806667,0.0037453081,0.005706571,0.01712714,0.08791727,0.0022185708,0.0012334372,0.0723513],"study_design_scores_gemma":[0.000023991464,0.0000979291,0.976595,0.00007629236,0.000063184685,0.00028677614,0.006854804,0.0028108675,0.009820346,0.0005502769,0.0027891446,0.000031483116],"about_ca_topic_score_codex":0.7803346,"about_ca_topic_score_gemma":0.91094923,"teacher_disagreement_score":0.21966541,"about_ca_system_score_codex":0.006348456,"about_ca_system_score_gemma":0.004454339,"threshold_uncertainty_score":0.44191808},"labels":[],"label_agreement":null},{"id":"W2591177475","doi":"10.1071/aseg2009ab091","title":"Deep exploration technologies for illuminating highly prospective ground in the shadow of headframes","year":2009,"lang":"en","type":"article","venue":"ASEG Extended Abstracts","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Geoscience BC","funders":"","keywords":"Brownfield; Emerging technologies; Computer science; Remote sensing; Geology; Engineering; Civil engineering; Artificial intelligence; Redevelopment","score_opus":0.017881551482336788,"score_gpt":0.2777085074137493,"score_spread":0.25982695593141253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2591177475","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14113612,0.015501225,0.74087894,0.0023896857,0.00039702153,0.00018368484,0.00040563237,0.0021002258,0.0970074],"genre_scores_gemma":[0.5459142,0.011912896,0.38368872,0.00061943196,0.00018635188,0.00011290263,0.0003657128,0.00012388971,0.057075925],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999729,0.00004226293,0.000006883165,0.000028761558,0.00016470076,0.00002833505],"domain_scores_gemma":[0.99977905,0.00006360244,0.000027727929,0.00003100675,0.00007868569,0.000019886436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029067002,0.00037241998,0.00018269538,0.00062740897,0.00026047684,0.00093005196,0.0003363608,0.00035294698,0.004246659],"category_scores_gemma":[0.00035952288,0.00017047652,0.000117137184,0.00076347234,0.00042195787,0.00090975955,0.0009975435,0.00033397437,0.0011822291],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000091048976,0.000036826248,0.0052960706,0.00059048395,0.000020915417,0.00037800596,0.00086188596,0.0040083774,0.32718086,0.028366128,0.010468825,0.6227005],"study_design_scores_gemma":[0.000054007833,0.00078639894,0.024584979,0.0003179491,0.00010441911,0.004925082,0.0035355384,0.03133428,0.29564962,0.033139545,0.60544956,0.00011866951],"about_ca_topic_score_codex":0.001013642,"about_ca_topic_score_gemma":0.003984067,"teacher_disagreement_score":0.004246659,"about_ca_system_score_codex":0.0003474278,"about_ca_system_score_gemma":0.0005261041,"threshold_uncertainty_score":0.014206469},"labels":[],"label_agreement":null},{"id":"W2591320430","doi":"10.1190/geo2016-0232.1","title":"Optimizing electromagnetic sensors for unexploded ordnance detection","year":2017,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geoscience BC","funders":"Strategic Environmental Research and Development Program","keywords":"Unexploded ordnance; Clutter; Ground-penetrating radar; Remote sensing; Computer science; Detection threshold; Azimuth; Statistical power; Monte Carlo method; Geology; Acoustics; Artificial intelligence; Radar; Optics; Real-time computing; Statistics; Physics; Mathematics; Telecommunications","score_opus":0.017140063318195953,"score_gpt":0.2566051554348269,"score_spread":0.23946509211663097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2591320430","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43414608,0.00068199367,0.55855554,0.000227829,0.00003193894,0.000046009005,0.00012799588,0.0005353704,0.0056472467],"genre_scores_gemma":[0.9240457,0.0001798819,0.0748675,0.000042196447,0.000007712899,0.000020321751,0.00006314032,0.000020849071,0.00075265317],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99972993,0.000071520684,0.000010001392,0.000055408807,0.00009645201,0.000036718422],"domain_scores_gemma":[0.9994042,0.00030084985,0.000124426,0.000046248013,0.00010415851,0.000020173358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036295824,0.0004951981,0.0004304814,0.00023508494,0.00012894403,0.00062537263,0.0004116444,0.00046673176,0.000562611],"category_scores_gemma":[0.0016081999,0.0002685996,0.00020149884,0.00033592034,0.0002599194,0.0005489358,0.00038829274,0.00023572527,0.00022761841],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013082447,0.000068208,0.0029372498,0.00008408382,0.000022517914,0.00012897764,0.00003492862,0.8967886,0.06874888,0.0019409,0.00037514739,0.028739661],"study_design_scores_gemma":[0.000007985654,0.00008628036,0.0010755827,0.000003968052,0.0000056774106,0.000038928636,0.000020810547,0.98340386,0.014306761,0.0006619336,0.00037913662,0.000009192115],"about_ca_topic_score_codex":0.00081985706,"about_ca_topic_score_gemma":0.0012086625,"teacher_disagreement_score":0.00081985706,"about_ca_system_score_codex":0.00047758405,"about_ca_system_score_gemma":0.00036312797,"threshold_uncertainty_score":0.003465116},"labels":[],"label_agreement":null},{"id":"W2591592009","doi":"10.1109/antem.2004.7860619","title":"GPR target detection using a neural network classifier of image moments as invariant features","year":2004,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Unexploded ordnance; Ground-penetrating radar; Artificial intelligence; Artificial neural network; Pattern recognition (psychology); Computer science; Clutter; Invariant (physics); Classifier (UML); Computer vision; Contextual image classification; Radar; Image (mathematics); Remote sensing; Geology; Mathematics","score_opus":0.015125289716859896,"score_gpt":0.26048900009228104,"score_spread":0.24536371037542115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2591592009","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42692024,0.0005832426,0.5640551,0.0002938103,0.0001795367,0.00014069828,0.0002213543,0.002176688,0.005429293],"genre_scores_gemma":[0.8317562,0.00018822621,0.1626617,0.000109482084,0.000049200506,0.00011974203,0.0002662274,0.000029967356,0.004819301],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998167,0.000031154108,0.0000108066715,0.00005354108,0.00005371389,0.0000340283],"domain_scores_gemma":[0.9994654,0.00022097497,0.000047898644,0.000038019225,0.0002096585,0.000018058641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004933644,0.00041422038,0.00036141634,0.0005220544,0.00018918273,0.00048196872,0.0003601934,0.00079993147,0.0009332724],"category_scores_gemma":[0.0013767666,0.00019835774,0.00024762802,0.0003346794,0.00016439507,0.00051222276,0.00024208183,0.0004542016,0.00038314727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010035003,0.0005082224,0.009902772,0.00012336727,0.00011257694,0.00022968455,0.00006581966,0.1453585,0.11794382,0.0013808458,0.0030912193,0.7202796],"study_design_scores_gemma":[0.000014975561,0.00012726834,0.002496064,0.000008014884,0.000021738504,0.00007047037,0.000008512058,0.98279095,0.013847985,0.00025129682,0.00035262163,0.000010134962],"about_ca_topic_score_codex":0.001943089,"about_ca_topic_score_gemma":0.002114389,"teacher_disagreement_score":0.001943089,"about_ca_system_score_codex":0.0003492789,"about_ca_system_score_gemma":0.00023355613,"threshold_uncertainty_score":0.003863573},"labels":[],"label_agreement":null},{"id":"W2592393436","doi":"","title":"Using wavelets to characterize time-frequency features of electromagnetic coupling problems","year":2002,"lang":"en","type":"article","venue":"International Symposium on Antenna Technology and Applied Electromagnetics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Wavelet; Finite-difference time-domain method; Time–frequency analysis; Time domain; Electromagnetic interference; Frequency domain; Waveform; Electronic engineering; Acoustics; Frequency band; Interference (communication); Gaussian; Wavelet transform; Computer science; Mathematics; Physics; Telecommunications; Optics; Engineering; Mathematical analysis; Artificial intelligence; Bandwidth (computing)","score_opus":0.012269704515647815,"score_gpt":0.22495849116121622,"score_spread":0.2126887866455684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2592393436","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.055230577,0.00025093055,0.9434005,0.0000771807,0.00004287118,0.000024706083,0.000037726673,0.000094850904,0.0008406595],"genre_scores_gemma":[0.503059,0.0013214455,0.4933204,0.00005584612,0.00012497748,0.00012880002,0.00033629773,0.000117327116,0.0015358725],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977463,0.00006643871,0.000020366348,0.00003247904,0.0000820353,0.000024119714],"domain_scores_gemma":[0.9992681,0.0003802001,0.0001047042,0.00008658043,0.00012893559,0.00003156447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008436683,0.000599108,0.00038111367,0.0012094728,0.00021683372,0.0009722039,0.00037964236,0.0006800999,0.00053657906],"category_scores_gemma":[0.0025313473,0.00021327804,0.00040162422,0.0013756657,0.000516199,0.001298591,0.000553358,0.0007733606,0.00022413496],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028596178,0.00020402932,0.0048413514,0.00035609756,0.00012611745,0.0008948019,0.0006669205,0.37503895,0.18539397,0.110373706,0.0018222537,0.3199958],"study_design_scores_gemma":[0.000013906963,0.000058231813,0.0012702646,0.000014268415,0.000013803832,0.00021220204,0.000085574815,0.9709216,0.0074832304,0.018042956,0.0018610845,0.000022921471],"about_ca_topic_score_codex":0.00039525516,"about_ca_topic_score_gemma":0.00018958142,"teacher_disagreement_score":0.0012094728,"about_ca_system_score_codex":0.00015248003,"about_ca_system_score_gemma":0.00024033355,"threshold_uncertainty_score":0.004461825},"labels":[],"label_agreement":null},{"id":"W2594622404","doi":"10.1109/antem.2004.7860667","title":"Polarimetric bistatic GPR imaging and detection of landmines in the near field with the “Vampire Effect”","year":2004,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Clutter; Ground-penetrating radar; Computer science; Polarimetry; Constant false alarm rate; Computer vision; Bandwidth (computing); Orientation (vector space); Filter (signal processing); Ground plane; Artificial intelligence; Object detection; Remote sensing; Vampire; Physics; Acoustics; Radar; Optics; Geology; Antenna (radio); Telecommunications; Pattern recognition (psychology); Mathematics; Geometry","score_opus":0.003170799193719968,"score_gpt":0.21735896620840464,"score_spread":0.21418816701468468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594622404","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73354197,0.00057400175,0.25985685,0.00028110645,0.000047247693,0.00005417042,0.000039955983,0.0003317097,0.005272938],"genre_scores_gemma":[0.92463124,0.00027281535,0.073429115,0.00012503042,0.000015899594,0.000014129177,0.0000576014,0.00002204707,0.0014320672],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993167,0.00026329362,0.0000224815,0.000082286555,0.00025959607,0.000055611377],"domain_scores_gemma":[0.99887735,0.00056774716,0.00018962103,0.00017986014,0.00015311551,0.00003239541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069926184,0.00038154336,0.00032565993,0.00042951645,0.00018261508,0.0005187582,0.00029983692,0.00076078804,0.0005270683],"category_scores_gemma":[0.0027440302,0.00031882557,0.00024557053,0.000423268,0.0007659624,0.0008367391,0.00052432617,0.00036681103,0.00023343168],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015258143,0.00015839297,0.025006218,0.00029814395,0.00012583719,0.0013932368,0.0004173704,0.02293243,0.6843465,0.0053967997,0.00080446876,0.25759485],"study_design_scores_gemma":[0.00006840748,0.0015269005,0.05853409,0.00005856561,0.00012915123,0.020897014,0.00041150703,0.18855084,0.7205639,0.004909235,0.004243122,0.000107274944],"about_ca_topic_score_codex":0.00017698799,"about_ca_topic_score_gemma":0.00043335816,"teacher_disagreement_score":0.00076078804,"about_ca_system_score_codex":0.00013494464,"about_ca_system_score_gemma":0.00018084297,"threshold_uncertainty_score":0.0036981106},"labels":[],"label_agreement":null},{"id":"W2596106594","doi":"10.1190/geo2016-0210.1","title":"Potential field continuation between arbitrary surfaces — Comparing methods","year":2017,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Surface (topology); Field (mathematics); Continuation; Plane (geometry); Component (thermodynamics); Interpretation (philosophy); Data processing; Distribution (mathematics); Computer science; Algorithm; Point (geometry); Domain (mathematical analysis); Potential field; Horizontal plane; Geometry; Mathematics; Mathematical analysis; Geology; Geophysics; Physics","score_opus":0.03201645613752346,"score_gpt":0.33698758951929547,"score_spread":0.304971133381772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2596106594","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022207664,0.00088674534,0.9685597,0.0001681972,0.00013398677,0.00015295189,0.00007536699,0.0007148289,0.0071005686],"genre_scores_gemma":[0.20862642,0.0009665105,0.78549194,0.00009036904,0.00010294792,0.00034906948,0.0002690511,0.000596178,0.0035074532],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99664944,0.0016931739,0.00020895855,0.0003196189,0.0009952663,0.00013353146],"domain_scores_gemma":[0.98304796,0.01206573,0.00045437922,0.0020767357,0.0020655117,0.00028965028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0069786836,0.00093248714,0.0010046838,0.0027558908,0.0006936091,0.0018244539,0.0017434782,0.0017398496,0.00434304],"category_scores_gemma":[0.029764928,0.00042189856,0.0010615689,0.0014153052,0.0011601681,0.0029067723,0.0031058532,0.001835065,0.0011925407],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010456673,0.0002890694,0.0034314736,0.0007073052,0.00019906786,0.00021828992,0.00080003624,0.26840755,0.005589509,0.11772436,0.0032346852,0.59835297],"study_design_scores_gemma":[0.0000778641,0.00030873067,0.0018685726,0.00016348955,0.00004415778,0.00021137396,0.0002674345,0.9231103,0.0046531484,0.058098644,0.011125281,0.00007105378],"about_ca_topic_score_codex":0.001656645,"about_ca_topic_score_gemma":0.00086232467,"teacher_disagreement_score":0.0069786836,"about_ca_system_score_codex":0.0009420894,"about_ca_system_score_gemma":0.001098087,"threshold_uncertainty_score":0.036907256},"labels":[],"label_agreement":null},{"id":"W2598545131","doi":"10.1111/1365-2478.12516","title":"Modelling and straight‐ray tomographic imaging studies of cross‐hole radio‐frequency electromagnetic data for mineral exploration","year":2017,"lang":"en","type":"article","venue":"Geophysical Prospecting","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Tomography; Multiphysics; Amplitude; Borehole; Electromagnetic radiation; Acoustics; Tomographic reconstruction; Wavelength; Electromagnetic field; Phase (matter); Geology; Radio frequency; Imaging phantom; Physics; Optics; Finite element method; Computer science; Telecommunications","score_opus":0.07511037336084186,"score_gpt":0.343762933410994,"score_spread":0.26865256005015214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2598545131","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9701147,0.00005691512,0.028667448,0.000080487,0.000008978662,0.000024858115,0.00017554597,0.00016204441,0.0007090261],"genre_scores_gemma":[0.99159133,0.00003348831,0.008004749,0.0000061208743,0.0000017863249,0.0000094142815,0.00014102414,0.00002102006,0.00019106493],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965954,0.00009601316,0.000027114367,0.000067114466,0.0001137696,0.000036324334],"domain_scores_gemma":[0.99815804,0.000922142,0.00023985494,0.00023035826,0.00039572743,0.000053766937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000682194,0.0004280458,0.0002809434,0.00061822595,0.00016717194,0.00056184735,0.0004686981,0.0006612946,0.0006346838],"category_scores_gemma":[0.002289356,0.00022648899,0.00036631827,0.00058556703,0.0006316849,0.0006619715,0.0003649627,0.0002672241,0.00010213619],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024338436,0.00020371687,0.014970349,0.00015109213,0.000039369163,0.00044910685,0.00029610327,0.87890464,0.092297636,0.001419007,0.0003111028,0.010714455],"study_design_scores_gemma":[0.000010214789,0.0001129711,0.0059434245,0.0000073632064,0.000011469145,0.00010313463,0.00008038923,0.96475375,0.028448178,0.00020671835,0.00030452613,0.000017968936],"about_ca_topic_score_codex":0.0035917982,"about_ca_topic_score_gemma":0.0029627474,"teacher_disagreement_score":0.0035917982,"about_ca_system_score_codex":0.00043439606,"about_ca_system_score_gemma":0.0003384681,"threshold_uncertainty_score":0.007141769},"labels":[],"label_agreement":null},{"id":"W2599160982","doi":"10.3997/1873-0604.2016052","title":"Comparison between 2D and 3D ERT inversion for engineering site investigations – a case study from Oslo Harbour","year":2016,"lang":"en","type":"article","venue":"Near Surface Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Harbour; Inversion (geology); Geology; Excavation; Engineering geology; Regional geology; Economic geology; Environmental geology; Electrical resistivity tomography; Telmatology; Seismology; Hydrogeology; Electrical resistivity and conductivity; Geotechnical engineering; Engineering; Computer science; Volcanism; Tectonics","score_opus":0.03196582171324556,"score_gpt":0.27964020054219657,"score_spread":0.24767437882895102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2599160982","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9796626,0.000100326935,0.016748896,0.0001235531,0.00002347352,0.00004907301,0.0011843526,0.00026154172,0.0018461073],"genre_scores_gemma":[0.97642785,0.00009473433,0.021109069,0.000021738128,0.000011632131,0.00002638461,0.00151423,0.00005525673,0.00073916645],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99967897,0.000066412846,0.000025180898,0.00007896783,0.00009111167,0.00005934712],"domain_scores_gemma":[0.9993352,0.00025419326,0.00005774856,0.00010818669,0.00020875238,0.000035930283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007284269,0.00069464766,0.0003780691,0.0013904355,0.00032154046,0.001254334,0.0006551897,0.0007739585,0.0010459651],"category_scores_gemma":[0.0015232792,0.0002923802,0.0005858107,0.0012971653,0.00045427412,0.0005049199,0.0005437865,0.0002594935,0.00044581533],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012724978,0.0010298969,0.13135442,0.00047962327,0.00025406657,0.007189706,0.0017218726,0.553817,0.08436326,0.0017047628,0.00293997,0.21387292],"study_design_scores_gemma":[0.00009691974,0.00020730331,0.12671633,0.00007410169,0.00008980142,0.00061905396,0.0014523807,0.8530469,0.0131508885,0.00046245565,0.0039840853,0.000099767036],"about_ca_topic_score_codex":0.04067748,"about_ca_topic_score_gemma":0.07524317,"teacher_disagreement_score":0.04067748,"about_ca_system_score_codex":0.00047747415,"about_ca_system_score_gemma":0.00078673504,"threshold_uncertainty_score":0.08088142},"labels":[],"label_agreement":null},{"id":"W2601455779","doi":"10.1061/9780784480441.070","title":"Quantifying and Analyzing the Signal-to-Noise Ratio in Down-Hole Seismic Testing","year":2017,"lang":"en","type":"article","venue":"Geotechnical Frontiers 2017","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Conetec Investigations","funders":"","keywords":"Geology; Seismology; Signal-to-noise ratio (imaging); Seismic wave; Cone penetration test; Vertical seismic profile; Acoustics; Stacking; Shear (geology); Geotechnical engineering; Optics; Physics; Petrology; Nuclear magnetic resonance","score_opus":0.04466351117452602,"score_gpt":0.2949054499219716,"score_spread":0.2502419387474456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2601455779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8718436,0.00020889877,0.12574886,0.00006224215,0.000028687571,0.000069940565,0.00020287483,0.00038445383,0.001450428],"genre_scores_gemma":[0.9618813,0.00012225955,0.037247553,0.000026912598,0.000010696489,0.000025922203,0.00020960781,0.00007914241,0.0003965902],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99882454,0.0002222946,0.00008395269,0.00018210016,0.0005848779,0.00010219043],"domain_scores_gemma":[0.9948427,0.0019480282,0.0009460395,0.00038921883,0.0017258467,0.00014815196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015390591,0.00075283466,0.00033924516,0.0016818518,0.00019197656,0.0006853434,0.00068657537,0.00068155874,0.00079457555],"category_scores_gemma":[0.008671583,0.00026520275,0.00016881558,0.0010435331,0.0006458582,0.0007467708,0.0005548838,0.00031508825,0.00021758633],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008817229,0.00024148563,0.117641725,0.00034604318,0.00006042792,0.0015035883,0.0011546742,0.03228668,0.6678328,0.0006908513,0.00054438313,0.17681564],"study_design_scores_gemma":[0.000023958333,0.0015271661,0.30345157,0.00009828126,0.00013073256,0.0017895149,0.0008350004,0.19753927,0.4908254,0.0011629163,0.0024965908,0.00011964074],"about_ca_topic_score_codex":0.0018903753,"about_ca_topic_score_gemma":0.0042928504,"teacher_disagreement_score":0.0018903753,"about_ca_system_score_codex":0.00026391304,"about_ca_system_score_gemma":0.000228806,"threshold_uncertainty_score":0.0081394315},"labels":[],"label_agreement":null},{"id":"W2602322119","doi":"10.1007/978-3-319-54109-9_3","title":"Wavelet Transform-Based Damage Detection in Reinforced Concrete Using an Air-Coupled Impact-Echo Method","year":2017,"lang":"en","type":"book-chapter","venue":"Conference proceedings of the Society for Experimental Mechanics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Obstacle; Order (exchange); Echo (communications protocol); Engineering; Computer science; Civil engineering; Business; Finance; Geography; Computer security","score_opus":0.03804293300483854,"score_gpt":0.31329094852610334,"score_spread":0.2752480155212648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2602322119","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09795176,0.00028968405,0.89922255,0.00006880455,0.00005129569,0.000017067878,0.000060334787,0.0002697401,0.0020687038],"genre_scores_gemma":[0.57658184,0.0008702878,0.41418552,0.00006025158,0.00006353895,0.000034729357,0.00031563608,0.00012980403,0.0077584707],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998468,0.000018956905,0.0000070580604,0.00002596269,0.000088857836,0.000012277118],"domain_scores_gemma":[0.9997482,0.00010643459,0.000025703925,0.000025843881,0.00007828634,0.00001550592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025514918,0.00040192986,0.0003195501,0.00044100694,0.00009106279,0.00038571435,0.00041728833,0.0005383121,0.001057831],"category_scores_gemma":[0.0006745099,0.00023571921,0.00035557518,0.00047942836,0.0002673997,0.00064441236,0.000591963,0.0004968835,0.00041798703],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036284808,0.00016577404,0.0016469769,0.00018502586,0.00007007042,0.00016331184,0.00013392771,0.1476039,0.35370848,0.005616228,0.0012718601,0.48907155],"study_design_scores_gemma":[0.00000594497,0.000046984762,0.0011483971,0.000008532392,0.000013998534,0.00010561515,0.000015200526,0.9745364,0.022774352,0.0007251237,0.0006060972,0.000013342802],"about_ca_topic_score_codex":0.00057402736,"about_ca_topic_score_gemma":0.00104586,"teacher_disagreement_score":0.001057831,"about_ca_system_score_codex":0.00012206583,"about_ca_system_score_gemma":0.00022101396,"threshold_uncertainty_score":0.0035387874},"labels":[],"label_agreement":null},{"id":"W2607257687","doi":"10.11159/icgre17.194","title":"Extending Ground Penetrating Radar Imaging Capabilities Through Signal Processing","year":2017,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Civil, Structural, and Environmental Engineering","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Nuclear Security Administration; Sandia National Laboratories; U.S. Department of Energy","keywords":"Ground-penetrating radar; Radar imaging; Remote sensing; Radar signal processing; Radar; Signal processing; Bistatic radar; Early-warning radar; Computer science; Radar lock-on; Radar engineering details; Continuous-wave radar; Geology; Telecommunications","score_opus":0.008371323151811947,"score_gpt":0.22249322900898766,"score_spread":0.21412190585717572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2607257687","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009724213,0.0007353722,0.9845387,0.00042901776,0.000043497475,0.000024187351,0.000054808894,0.00067252445,0.003777712],"genre_scores_gemma":[0.11764042,0.003473507,0.87478846,0.00048075843,0.00012870958,0.00004256187,0.00021711842,0.0002361059,0.0029923765],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993881,0.00011564866,0.000038273625,0.000099574514,0.00031700957,0.000041394233],"domain_scores_gemma":[0.9986419,0.0006452769,0.00008180829,0.00026454421,0.0003339053,0.000032576954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013653036,0.0009837492,0.00064130727,0.0007143956,0.00022375681,0.0015913872,0.000701951,0.00079197926,0.0022563974],"category_scores_gemma":[0.0031190934,0.0005066692,0.00052050635,0.00088532607,0.0005833199,0.003252725,0.0016958734,0.0013435596,0.0019835965],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000077493656,0.00008097878,0.0013109609,0.0003282468,0.00006316493,0.0001911409,0.00019864633,0.056606755,0.16748248,0.02234965,0.0025931494,0.74871725],"study_design_scores_gemma":[0.000048904323,0.00048903556,0.0024912215,0.00019858395,0.00014026933,0.0017110048,0.00034587452,0.66322404,0.15641513,0.082716815,0.09207755,0.00014152609],"about_ca_topic_score_codex":0.0004107569,"about_ca_topic_score_gemma":0.0006113942,"teacher_disagreement_score":0.0022563974,"about_ca_system_score_codex":0.00021684675,"about_ca_system_score_gemma":0.00041300355,"threshold_uncertainty_score":0.007548392},"labels":[],"label_agreement":null},{"id":"W2607674700","doi":"10.36487/acg_rep/1410_28_garza-cruz","title":"Use of 3DEC to study spalling and deformation associated with tunnelling at depth","year":2014,"lang":"en","type":"article","venue":"Deep mining","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Spall; Quantum tunnelling; Deformation (meteorology); Geology; Materials science; Computer science; Composite material; Optoelectronics","score_opus":0.034236216095200354,"score_gpt":0.24726266027684923,"score_spread":0.21302644418164887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2607674700","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9253521,0.00015619103,0.06002231,0.00018466092,0.00006310954,0.00009797012,0.001385632,0.00062908325,0.012108984],"genre_scores_gemma":[0.95233774,0.0001364098,0.044713013,0.00006866368,0.000008790542,0.0001514082,0.0006068052,0.00009905974,0.0018781123],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991477,0.000018245886,0.0000072325056,0.00001595574,0.00002540017,0.000018378367],"domain_scores_gemma":[0.99940073,0.00030643257,0.0000865622,0.00006263054,0.00008877686,0.00005478854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028179082,0.00051764754,0.00053794845,0.00035224916,0.00042224897,0.00073096436,0.0006478347,0.0011200961,0.0017977931],"category_scores_gemma":[0.00078559335,0.00036971192,0.0004794231,0.00040560102,0.00045187995,0.00034527032,0.0006452165,0.000650314,0.00019821445],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059108977,0.000074372394,0.0049334234,0.000062039326,0.000019132825,0.00012871517,0.000087508495,0.9851804,0.0049364376,0.0015828772,0.00019229308,0.0027437524],"study_design_scores_gemma":[0.000010562178,0.000041733656,0.00079929637,0.0000063614348,0.0000044047983,0.000028523353,0.000033529457,0.99702054,0.0012158786,0.00025020522,0.0005804821,0.000008486489],"about_ca_topic_score_codex":0.0085135605,"about_ca_topic_score_gemma":0.008163917,"teacher_disagreement_score":0.0085135605,"about_ca_system_score_codex":0.0005253389,"about_ca_system_score_gemma":0.00082646153,"threshold_uncertainty_score":0.016928017},"labels":[],"label_agreement":null},{"id":"W2608632787","doi":"","title":"Development of an ultra-wideband measurement system for subsurface imaging. Application to the Vaucluse Kazrst Aquifer","year":2011,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Biotech (Canada)","funders":"","keywords":"Aquifer; Geology; Remote sensing; Hydrology (agriculture); Geotechnical engineering; Groundwater","score_opus":0.024980715901939874,"score_gpt":0.23405074156805175,"score_spread":0.20907002566611188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2608632787","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21418254,0.00039441025,0.77067107,0.0005459299,0.00013854889,0.00042158863,0.00060772744,0.0063171154,0.006721062],"genre_scores_gemma":[0.5577992,0.00025764477,0.43150762,0.00023651283,0.000034343386,0.00031055865,0.00060185563,0.00012735387,0.00912495],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99977845,0.00003570828,0.000009875025,0.00005025063,0.00009640923,0.000029258037],"domain_scores_gemma":[0.9997423,0.000043977892,0.00001582863,0.000032368902,0.0001396975,0.000025730507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004202674,0.000293164,0.00028540174,0.0002530531,0.00033623131,0.00043807647,0.00061541965,0.00059017946,0.002411754],"category_scores_gemma":[0.00042654705,0.00021259669,0.00013263812,0.00032192448,0.00018361484,0.00040419007,0.00052229274,0.0002887746,0.00083694287],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015831337,0.000056214307,0.0038490298,0.00011193525,0.0000215973,0.0002423129,0.00028623728,0.0029149852,0.8423725,0.0008903672,0.0022556954,0.1468408],"study_design_scores_gemma":[0.00013975675,0.0015629469,0.028541097,0.00006197329,0.00011128172,0.0019452433,0.00032554797,0.12236012,0.77660215,0.00072913093,0.06751522,0.00010548097],"about_ca_topic_score_codex":0.0027174836,"about_ca_topic_score_gemma":0.0043647517,"teacher_disagreement_score":0.0027174836,"about_ca_system_score_codex":0.00027166877,"about_ca_system_score_gemma":0.00071928656,"threshold_uncertainty_score":0.008068144},"labels":[],"label_agreement":null},{"id":"W2612358194","doi":"10.36487/acg_rep/1208_37_dobchuk","title":"Mine waste cover system design – considerations for cold regions","year":2012,"lang":"en","type":"article","venue":"Mine closure","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Aboriginal Affairs Northern Dev Canada; Inro Consultants (Canada)","funders":"Aboriginal Affairs and Northern Development Canada","keywords":"Cover (algebra); Environmental science; Waste management; Computer science; Engineering; Mechanical engineering","score_opus":0.04763729497493899,"score_gpt":0.26217312014683525,"score_spread":0.21453582517189626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612358194","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3737799,0.0021010546,0.51293826,0.0039298246,0.00022869534,0.0009542264,0.00030702972,0.0011994179,0.10456153],"genre_scores_gemma":[0.81243145,0.0015447923,0.1583242,0.00033526204,0.000067751826,0.00040309806,0.00025440214,0.0002422127,0.026396891],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99831784,0.0004207337,0.00007869525,0.00011196461,0.0008445929,0.0002261879],"domain_scores_gemma":[0.9986656,0.00029194198,0.00015364439,0.00016296338,0.00061218685,0.000113674796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020517958,0.0005346503,0.00039226984,0.0007424736,0.0012260602,0.0020344674,0.0011093218,0.0012058968,0.004775204],"category_scores_gemma":[0.0018047986,0.0005190844,0.0006165962,0.00046451317,0.0007152921,0.0016686432,0.0011170603,0.0007044097,0.0010063354],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003495256,0.00030779454,0.020348912,0.0014369785,0.00006953345,0.0020750687,0.0044322857,0.398778,0.18885344,0.05918864,0.008291692,0.31586814],"study_design_scores_gemma":[0.00015991049,0.0031931615,0.045328274,0.0011633886,0.0002177635,0.001966763,0.008533832,0.38064754,0.114459425,0.03920565,0.4048967,0.00022764449],"about_ca_topic_score_codex":0.008358545,"about_ca_topic_score_gemma":0.025494186,"teacher_disagreement_score":0.008358545,"about_ca_system_score_codex":0.0019477061,"about_ca_system_score_gemma":0.0018631562,"threshold_uncertainty_score":0.016619802},"labels":[],"label_agreement":null},{"id":"W2616051391","doi":"","title":"Shotcrete Strength Testing at the Turquoise Ridge Joint Venture, Nevada","year":2013,"lang":"en","type":"article","venue":"47th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Barrick Gold (Canada)","funders":"","keywords":"Joint venture; Joint (building); Ridge; Shotcrete; Geology; Forensic engineering; Engineering; Geotechnical engineering; Business; Structural engineering; Business administration","score_opus":0.018811172943861587,"score_gpt":0.21628786591463886,"score_spread":0.19747669297077727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2616051391","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82042575,0.0011884995,0.016148908,0.002393105,0.00053045707,0.0005101891,0.004172304,0.0010078946,0.1536229],"genre_scores_gemma":[0.79766494,0.00052200974,0.020209651,0.00044636193,0.000043160904,0.00018980406,0.0042551537,0.0002107805,0.17645815],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99879956,0.00011322154,0.000024937548,0.00018664033,0.0007786343,0.000096977165],"domain_scores_gemma":[0.9965238,0.00018328315,0.000060185903,0.00008776544,0.0028293624,0.00031555197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020219667,0.00032637978,0.00025873582,0.001038,0.0015036925,0.0007657475,0.0009727668,0.0006822476,0.008890318],"category_scores_gemma":[0.0014852011,0.0002861581,0.00017486935,0.00026646772,0.00048096615,0.0008221477,0.00090838457,0.0005891035,0.0012945302],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002240271,0.0038629293,0.18159094,0.00036589126,0.00022441304,0.0016266835,0.0032795197,0.0076038917,0.25618666,0.00922764,0.121837385,0.4119537],"study_design_scores_gemma":[0.0005764495,0.007686055,0.41224325,0.00035224578,0.00020188921,0.00084695383,0.010464421,0.02678344,0.12330457,0.0049665407,0.41236714,0.00020698617],"about_ca_topic_score_codex":0.07071765,"about_ca_topic_score_gemma":0.3428985,"teacher_disagreement_score":0.07071765,"about_ca_system_score_codex":0.001178315,"about_ca_system_score_gemma":0.003897841,"threshold_uncertainty_score":0.140612},"labels":[],"label_agreement":null},{"id":"W2616538186","doi":"10.1016/s1474-6670(17)41710-1","title":"The Application of Telematics in the Canadian Landmine Detection Capability","year":2001,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Telematics; Key (lock); Robotics; Focus (optics); Engineering; Embedded system; Computer science; Artificial intelligence; Real-time computing; Systems engineering; Computer security; Telecommunications; Robot","score_opus":0.009382273484972618,"score_gpt":0.23659724727079393,"score_spread":0.2272149737858213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2616538186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5824908,0.0058704806,0.08901868,0.010304901,0.00038630646,0.0002313454,0.0035567998,0.0009047455,0.30723596],"genre_scores_gemma":[0.9545154,0.0018215574,0.02297675,0.0002172567,0.000033077005,0.000019627403,0.0002597122,0.000049459042,0.02010705],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990295,0.00007429602,0.000019784902,0.0001108143,0.0005879687,0.00017764636],"domain_scores_gemma":[0.9989743,0.00016508228,0.000057494854,0.000050480427,0.00069175306,0.0000608815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007085246,0.0003480044,0.00018276821,0.0017886057,0.001771221,0.002421424,0.0009747317,0.0005290683,0.005411564],"category_scores_gemma":[0.0028631699,0.00021099509,0.00024251868,0.002451948,0.0011990401,0.0010133871,0.0008559166,0.0006121163,0.00039482882],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003727018,0.00009256927,0.08499748,0.0002927784,0.00005300104,0.0005520352,0.0020546394,0.060063,0.03679781,0.0700053,0.015057824,0.72966087],"study_design_scores_gemma":[0.00006366481,0.0003717226,0.32790285,0.0003227885,0.00023801839,0.001269851,0.0059258034,0.2342406,0.09490117,0.017302416,0.31711096,0.00035022857],"about_ca_topic_score_codex":0.932941,"about_ca_topic_score_gemma":0.9590079,"teacher_disagreement_score":0.06705898,"about_ca_system_score_codex":0.016485423,"about_ca_system_score_gemma":0.020059094,"threshold_uncertainty_score":0.13490778},"labels":[],"label_agreement":null},{"id":"W2618951671","doi":"10.1177/0954409717710408","title":"Evaluating the sensitivity of low-frequency ground-penetrating radar attributes to estimate ballast fines in the presence of variable track foundations through simulation","year":2017,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Ballast; Ground-penetrating radar; Track (disk drive); Radar; Geology; Foundation (evidence); Remote sensing; Geotechnical engineering; Marine engineering; Acoustics; Engineering; Aerospace engineering; Geography; Mechanical engineering; Physics","score_opus":0.050261006259118335,"score_gpt":0.33325118044221236,"score_spread":0.282990174183094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2618951671","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9862324,0.00008950958,0.012057831,0.00007829713,0.0000141313485,0.000038588973,0.00031861174,0.00014378197,0.0010268841],"genre_scores_gemma":[0.9948296,0.000045461464,0.004695013,0.000019785328,0.0000024433937,0.000019132827,0.00023772538,0.000011006797,0.0001398002],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997174,0.00008027814,0.000022325925,0.000070591705,0.000056609406,0.000052804175],"domain_scores_gemma":[0.9966738,0.002644428,0.00020941254,0.00017346014,0.00023581198,0.000062969455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001208799,0.00055773737,0.00045854342,0.00044967086,0.00024448932,0.0007565237,0.00069937215,0.001219802,0.0004889978],"category_scores_gemma":[0.0051711397,0.00032726122,0.0005968906,0.00039571454,0.00047218244,0.00054644234,0.0004451976,0.00062442326,0.00010093302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006282862,0.000030374285,0.005705239,0.000024627187,0.000020309457,0.00003144121,0.000021464999,0.9907358,0.0016450239,0.000101706435,0.000038572052,0.0015825856],"study_design_scores_gemma":[0.000007811512,0.000037866612,0.0015442882,0.0000043049636,0.0000066419348,0.0000110580595,0.000020066493,0.9971722,0.0010704946,0.000064745785,0.000055301207,0.000005382744],"about_ca_topic_score_codex":0.018684536,"about_ca_topic_score_gemma":0.00839202,"teacher_disagreement_score":0.018684536,"about_ca_system_score_codex":0.0005148113,"about_ca_system_score_gemma":0.00049140817,"threshold_uncertainty_score":0.037151575},"labels":[],"label_agreement":null},{"id":"W2621390029","doi":"10.1139/cgj-2017-0025","title":"Evaluation of jet grout column diameters by acoustic monitoring","year":2017,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Science Council","keywords":"Grout; Jet (fluid); Geotechnical engineering; Nozzle; Amplitude; Geology; Engineering; Mechanics; Optics; Physics; Mechanical engineering","score_opus":0.03918264534601707,"score_gpt":0.3009454189683722,"score_spread":0.2617627736223551,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2621390029","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9383733,0.0008459078,0.058196045,0.00002201821,0.000036028763,0.00007709547,0.0002587045,0.00051046617,0.0016804677],"genre_scores_gemma":[0.9737424,0.0003114038,0.025005624,0.000020235382,0.0000109993325,0.00003190761,0.00013373017,0.000038837432,0.00070487254],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99904305,0.00007048611,0.0000514324,0.00017531976,0.00058494,0.00007463642],"domain_scores_gemma":[0.99723756,0.0009949774,0.00058307714,0.00017281831,0.0008567665,0.0001547946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006554911,0.0005523641,0.00031936308,0.0016354751,0.0002906135,0.00070239324,0.0004792193,0.00041482475,0.00091272197],"category_scores_gemma":[0.0022369844,0.0003230793,0.00018239288,0.0007588103,0.00037464575,0.00061817025,0.00047111753,0.00035107494,0.00023922385],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034908182,0.00009586412,0.084793225,0.0002831901,0.00003318104,0.0002915642,0.00049126986,0.00453118,0.7937736,0.00020012903,0.00022389973,0.11493379],"study_design_scores_gemma":[0.000030430103,0.0011620908,0.37008598,0.00007017834,0.0000929377,0.0007407591,0.0011244062,0.04046591,0.5827164,0.00021245611,0.0031704074,0.00012807056],"about_ca_topic_score_codex":0.0012954323,"about_ca_topic_score_gemma":0.0038721615,"teacher_disagreement_score":0.0016354751,"about_ca_system_score_codex":0.0002704387,"about_ca_system_score_gemma":0.00026888706,"threshold_uncertainty_score":0.0034666061},"labels":[],"label_agreement":null},{"id":"W2622838220","doi":"10.2113/jeeg22.2.121","title":"Concrete Bridge Deck Deterioration Assessment Using Ground Penetrating Radar (GPR)","year":2017,"lang":"en","type":"article","venue":"Journal of Environmental and Engineering Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Research Canada","funders":"","keywords":"Ground-penetrating radar; Bridge (graph theory); Radar; Computer science; Geology; Remote sensing; Telecommunications","score_opus":0.017150123356321125,"score_gpt":0.25174756089174977,"score_spread":0.23459743753542864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2622838220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9771006,0.0002769353,0.019973598,0.00003465349,0.000014257465,0.00004994011,0.00022600881,0.00026405446,0.0020599267],"genre_scores_gemma":[0.9842312,0.0001789539,0.014421058,0.000024460458,0.0000040697546,0.000011846593,0.00016868592,0.000018916724,0.00094084954],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997415,0.000041512623,0.000015829915,0.000055364075,0.00012057836,0.0000251284],"domain_scores_gemma":[0.999627,0.00005246526,0.000072287454,0.0000277106,0.0001842583,0.000036294794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061575265,0.0004758947,0.00029981096,0.0013798702,0.00019523264,0.00061350665,0.0002417172,0.00041589062,0.0010549799],"category_scores_gemma":[0.00067632995,0.00015074296,0.00016782164,0.0005756977,0.00023162589,0.0004188334,0.0005968309,0.00028038092,0.00044411188],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00078172155,0.00011394528,0.20226975,0.00035835724,0.000082674385,0.0008231643,0.00061581616,0.019674888,0.6268567,0.00038839332,0.00089844235,0.14713624],"study_design_scores_gemma":[0.000034632732,0.0010895948,0.6137415,0.0001708281,0.00014232416,0.0017352877,0.0011961347,0.12990437,0.24668163,0.0010065171,0.00419629,0.00010083088],"about_ca_topic_score_codex":0.0017917602,"about_ca_topic_score_gemma":0.0034360033,"teacher_disagreement_score":0.0017917602,"about_ca_system_score_codex":0.00027960623,"about_ca_system_score_gemma":0.00017507237,"threshold_uncertainty_score":0.0035626888},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"split"},{"id":"W2728329712","doi":"","title":"Ultrasonic Tomography of the Excavation Damage Zone at the Onkalo, Nuclear Waste Repository Facility, Finland","year":2016,"lang":"en","type":"article","venue":"ISRM International Symposium on In-Situ Rock Stress","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Radioactive waste; Excavation; Tomography; Ultrasonic sensor; Environmental science; Waste management; Geology; Engineering; Medicine; Radiology; Geotechnical engineering","score_opus":0.006316170606706085,"score_gpt":0.2135830013795067,"score_spread":0.20726683077280061,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2728329712","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99593973,0.0000995874,0.0020192093,0.00010929496,0.0000046083273,0.000011028057,0.00029559975,0.000065832224,0.0014551483],"genre_scores_gemma":[0.9986766,0.00005167002,0.00077298086,0.000011232902,0.000003655805,0.0000047701196,0.00008119708,0.000005295386,0.00039252045],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998803,0.00001506787,0.000007191636,0.000019327665,0.000043827866,0.00003425491],"domain_scores_gemma":[0.9998209,0.00007932998,0.00002843012,0.000012079518,0.00003879346,0.0000204947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017487934,0.00019054263,0.00020353582,0.0006965784,0.0002725987,0.00036737218,0.0003849106,0.000606227,0.0013712412],"category_scores_gemma":[0.00065742526,0.0002113156,0.00013657755,0.00061300374,0.00031803167,0.00041564944,0.0003944205,0.0002826187,0.00018265742],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023833367,0.00027236485,0.19826925,0.00043424318,0.00007597428,0.006834521,0.0038302045,0.03338988,0.7039231,0.00057983276,0.0016257417,0.048381582],"study_design_scores_gemma":[0.00011380347,0.0006182923,0.8817449,0.0000680527,0.00014308745,0.004536684,0.0036708284,0.043109104,0.063519664,0.00030522497,0.0020952125,0.00007514536],"about_ca_topic_score_codex":0.0047590532,"about_ca_topic_score_gemma":0.0042154035,"teacher_disagreement_score":0.0047590532,"about_ca_system_score_codex":0.00031619536,"about_ca_system_score_gemma":0.0005024167,"threshold_uncertainty_score":0.009462714},"labels":[],"label_agreement":null},{"id":"W2733730613","doi":"10.1016/j.conbuildmat.2017.06.180","title":"Measurement of air void system in lightweight concrete by X-ray computed tomography","year":2017,"lang":"en","type":"article","venue":"Construction and Building Materials","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Void (composites); Voxel; Local Void; Materials science; Tomography; Grayscale; Porosity; Aggregate (composite); Computer science; Composite material; Geometry; Mathematics; Optics; Artificial intelligence; Physics; Pixel; Two-phase flow","score_opus":0.011534877020929066,"score_gpt":0.2278253777911339,"score_spread":0.21629050077020484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2733730613","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97074234,0.00023190974,0.027959662,0.000023113287,0.0000071317168,0.000016978169,0.000088697816,0.00018703016,0.0007430584],"genre_scores_gemma":[0.9955646,0.000047426623,0.0041936873,0.0000043220066,0.0000022154668,0.0000044596613,0.00003501832,0.000007327622,0.00014095852],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999833,0.000018180683,0.000006750728,0.00003150918,0.000088585424,0.000021902712],"domain_scores_gemma":[0.99961394,0.000113852,0.000107932705,0.000032190765,0.00009293552,0.000039105737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019839634,0.00026286437,0.0002008285,0.0007510841,0.00027376474,0.0003903392,0.0003411685,0.0003777382,0.0005498056],"category_scores_gemma":[0.0005183808,0.0002608424,0.000109444074,0.00037712202,0.00068094005,0.00058887247,0.00038314785,0.00028038333,0.00010846785],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029238555,0.00006599874,0.030567566,0.000065692104,0.000013037595,0.00018732778,0.00025401224,0.0053542326,0.9497876,0.0005134165,0.00008364325,0.012815047],"study_design_scores_gemma":[0.000050213766,0.00044853767,0.2987226,0.000029642457,0.00006682134,0.0010609154,0.0007080314,0.11213296,0.5849717,0.0006123573,0.0011086671,0.00008750708],"about_ca_topic_score_codex":0.0019238447,"about_ca_topic_score_gemma":0.0018294749,"teacher_disagreement_score":0.0019238447,"about_ca_system_score_codex":0.00021666569,"about_ca_system_score_gemma":0.00044470947,"threshold_uncertainty_score":0.003825307},"labels":[],"label_agreement":null},{"id":"W2736900878","doi":"10.1016/j.marpetgeo.2017.07.027","title":"Ground penetrating radar for facies architecture and high-resolution stratigraphy: Examples from the Mesoproterozoic in the Chapada Diamantina Basin, Brazil","year":2017,"lang":"en","type":"article","venue":"Marine and Petroleum Geology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Petrobras","keywords":"Geology; Facies; Ground-penetrating radar; Outcrop; Paleontology; Sedimentary rock; Stratigraphy; Sedimentology; Fluvial; Sedimentary structures; Sequence stratigraphy; Geomorphology; Structural basin; Radar; Tectonics","score_opus":0.01522561559467538,"score_gpt":0.24167578627886613,"score_spread":0.22645017068419074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2736900878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.980005,0.0031200037,0.0016610583,0.00025317635,0.000007703087,0.000041376043,0.0005966708,0.000043659238,0.014271326],"genre_scores_gemma":[0.99688077,0.0009370218,0.0014074347,0.000021740041,0.0000057457178,0.00000306355,0.00014685582,0.000013003627,0.0005844026],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997986,0.00002589443,0.0000139931035,0.0000396386,0.00007103248,0.00005095238],"domain_scores_gemma":[0.99969673,0.00007659809,0.00005968658,0.000032809166,0.00011066708,0.000023452465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026698242,0.00037736134,0.00023629234,0.0026288044,0.0006559973,0.00076429674,0.00034904337,0.00036651143,0.00096726156],"category_scores_gemma":[0.0008990167,0.00019980627,0.0002032804,0.0035748293,0.000631467,0.00042090073,0.0006097708,0.0002732268,0.00022466277],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016343685,0.00009418887,0.74607104,0.00035333345,0.00013636268,0.005711589,0.010229719,0.0034019744,0.030564973,0.0024050286,0.00075979135,0.20010847],"study_design_scores_gemma":[0.000006962293,0.00003680044,0.98628414,0.00006541002,0.000050859922,0.0015032173,0.002910265,0.0018897576,0.0013160903,0.00051402795,0.0054078624,0.0000146767],"about_ca_topic_score_codex":0.10564992,"about_ca_topic_score_gemma":0.30399004,"teacher_disagreement_score":0.10564992,"about_ca_system_score_codex":0.0007569058,"about_ca_system_score_gemma":0.00047622545,"threshold_uncertainty_score":0.21006995},"labels":[],"label_agreement":null},{"id":"W2737728974","doi":"","title":"Fracture Initiation And Propagation In the Quintner Limestone","year":2012,"lang":"en","type":"article","venue":"46th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Geology; Fracture (geology); Geotechnical engineering","score_opus":0.012991144453905114,"score_gpt":0.2396739417620005,"score_spread":0.22668279730809537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2737728974","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99638593,0.00016214959,0.0004510298,0.000041330146,0.000003035895,0.000007100859,0.00009149123,0.00003083105,0.0028270183],"genre_scores_gemma":[0.9981527,0.000048384514,0.00034259932,0.000006408736,8.9103816e-7,0.0000044390663,0.00006256551,0.0000040555037,0.0013780548],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998394,0.000009860147,0.000009361156,0.00005319995,0.00005409037,0.000033947974],"domain_scores_gemma":[0.9997706,0.00007423657,0.000046017838,0.000015906586,0.00006028527,0.00003299019],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002797286,0.00011417442,0.00020735039,0.0008848146,0.00046600506,0.00047048257,0.0004425438,0.00037598482,0.0019034839],"category_scores_gemma":[0.00087575515,0.00024160084,0.00017502115,0.00034874337,0.0005209178,0.00028266828,0.00039213055,0.00024919855,0.0003198802],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011305915,0.0003037472,0.6370976,0.00026075347,0.00008568032,0.0031234114,0.0023902801,0.06090046,0.18858483,0.0060435547,0.0013089906,0.09877016],"study_design_scores_gemma":[0.000024564875,0.00018440286,0.94903827,0.00003237073,0.000018662982,0.00034024043,0.0005297061,0.034569576,0.012336473,0.000830746,0.0020577267,0.000037318077],"about_ca_topic_score_codex":0.057945218,"about_ca_topic_score_gemma":0.12663011,"teacher_disagreement_score":0.057945218,"about_ca_system_score_codex":0.0011180658,"about_ca_system_score_gemma":0.00052309164,"threshold_uncertainty_score":0.1152159},"labels":[],"label_agreement":null},{"id":"W2740721376","doi":"10.1109/iwagpr.2017.7996101","title":"Spatially-filtered FDTD subgridding for ground penetrating radar numerical modeling","year":2017,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Finite-difference time-domain method; Ground-penetrating radar; Limit (mathematics); Radar; Computer science; Stability (learning theory); Scheme (mathematics); Relative permittivity; Permittivity; Mathematics; Engineering; Optics; Mathematical analysis; Physics; Telecommunications; Machine learning; Dielectric","score_opus":0.05379259876547984,"score_gpt":0.30663106538266416,"score_spread":0.25283846661718434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2740721376","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0100031635,0.0001022608,0.9882237,0.000043812102,0.000027027503,0.000015828095,0.000031709806,0.000252003,0.0013006222],"genre_scores_gemma":[0.24983943,0.0004456738,0.74613094,0.000053406417,0.00001805027,0.00010502872,0.00015316794,0.00010045938,0.0031537865],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999405,0.000015762751,0.0000044253898,0.0000071076956,0.000026330184,0.0000058441333],"domain_scores_gemma":[0.9998499,0.00005653252,0.000012865527,0.00004067379,0.000033702872,0.0000062315044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019464974,0.0002872446,0.00021584712,0.00022111366,0.00018356688,0.00031434745,0.0003997215,0.0004925482,0.0012361583],"category_scores_gemma":[0.000622806,0.00015151709,0.00030291738,0.0002761363,0.00022694943,0.0004107965,0.00027155355,0.00046946338,0.0004151131],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006908263,0.00006314434,0.0013737208,0.00013767366,0.000025721007,0.00018760632,0.00022155108,0.7193858,0.08408971,0.06709045,0.0023331926,0.12502237],"study_design_scores_gemma":[0.0000023274933,0.000006390668,0.00006287527,0.0000033259173,0.0000017278376,0.000019364441,0.000004767642,0.99333304,0.0029026559,0.0016115867,0.002049395,0.0000026539117],"about_ca_topic_score_codex":0.0022598042,"about_ca_topic_score_gemma":0.0018267445,"teacher_disagreement_score":0.0022598042,"about_ca_system_score_codex":0.00031554367,"about_ca_system_score_gemma":0.00045651017,"threshold_uncertainty_score":0.004493296},"labels":[],"label_agreement":null},{"id":"W2743039041","doi":"10.1061/9780784480885.032","title":"Watermain Asset Management","year":2017,"lang":"en","type":"article","venue":"Pipelines 2017","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Rheumatology Association","funders":"","keywords":"Asset management; Computer science; Asset (computer security); Business; Computer security; Finance","score_opus":0.029196779426000886,"score_gpt":0.3031343006854727,"score_spread":0.2739375212594718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2743039041","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.092146575,0.0032399548,0.030545138,0.009230538,0.0008443693,0.0023213748,0.0050097867,0.0025910048,0.8540713],"genre_scores_gemma":[0.30856818,0.0044424688,0.032465357,0.000681545,0.00021951277,0.0004327778,0.005830548,0.000291555,0.6470681],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994049,0.000045284938,0.00002308281,0.000099073965,0.00027926968,0.00014837983],"domain_scores_gemma":[0.9990126,0.000055122633,0.000054247856,0.00006104499,0.0005705022,0.00024651978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084603636,0.0003849159,0.00022153633,0.0013156077,0.0022019194,0.0025933834,0.0010485471,0.00050418766,0.04929487],"category_scores_gemma":[0.0015398719,0.00021682338,0.00015646112,0.0010998008,0.0004477676,0.0015546505,0.002166236,0.0006594949,0.007541693],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059875507,0.00014174485,0.018004278,0.00025506143,0.000013654179,0.00049733144,0.002270624,0.0029732767,0.004557785,0.012415365,0.30372894,0.65508205],"study_design_scores_gemma":[0.000007728029,0.00007196679,0.022955945,0.00022782768,0.000008795312,0.00014728456,0.0036554916,0.003691069,0.0015921358,0.0019506064,0.9656682,0.000022882987],"about_ca_topic_score_codex":0.12642951,"about_ca_topic_score_gemma":0.28610444,"teacher_disagreement_score":0.12642951,"about_ca_system_score_codex":0.004592019,"about_ca_system_score_gemma":0.009453541,"threshold_uncertainty_score":0.25138718},"labels":[],"label_agreement":null},{"id":"W2743128423","doi":"10.1061/9780784480885.049","title":"Analysis and Verification of PCCP Stiffness Testing Using Non-Invasive Acoustics","year":2017,"lang":"en","type":"article","venue":"Pipelines 2017","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"American Water (Canada)","funders":"","keywords":"Stiffness; Mains electricity; Pipeline transport; Structural engineering; Pipeline (software); Engineering; Mechanical engineering; Electrical engineering","score_opus":0.06676198812054965,"score_gpt":0.32162972066472006,"score_spread":0.2548677325441704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2743128423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8363658,0.00010804244,0.15257037,0.00015803931,0.000059329148,0.0002613036,0.0009979485,0.0015303905,0.007948763],"genre_scores_gemma":[0.9767344,0.00008072167,0.020364394,0.000037664537,0.0000059850654,0.00009552753,0.00031010457,0.000057284364,0.002314064],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99811375,0.00015375175,0.0000734325,0.00022845848,0.0013065459,0.00012404061],"domain_scores_gemma":[0.99622935,0.0011799134,0.00036825167,0.00040202826,0.0016995006,0.00012097595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012564678,0.0005015446,0.00021434159,0.0008408233,0.0005230954,0.000591575,0.00074193,0.0005420261,0.001594848],"category_scores_gemma":[0.0036038684,0.00022315451,0.0002508515,0.00047559539,0.00078878924,0.0006235074,0.0006218961,0.00042009217,0.00063534925],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004517669,0.0002668122,0.06755886,0.000357968,0.000031748325,0.000938588,0.0013618022,0.04568617,0.77963406,0.0016965641,0.001690406,0.1003253],"study_design_scores_gemma":[0.000045095265,0.0017084107,0.12581363,0.000090889625,0.00005230948,0.0007804079,0.0015897979,0.22604805,0.6338002,0.0010603243,0.008895547,0.000115370145],"about_ca_topic_score_codex":0.005702719,"about_ca_topic_score_gemma":0.011682,"teacher_disagreement_score":0.005702719,"about_ca_system_score_codex":0.00078581675,"about_ca_system_score_gemma":0.0010555197,"threshold_uncertainty_score":0.011339068},"labels":[],"label_agreement":null},{"id":"W2743208638","doi":"10.1061/9780784480885.001","title":"Sinkhole Locating and Corrosion Quantification with Pipe Penetrating Radar","year":2017,"lang":"en","type":"article","venue":"Pipelines 2017","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ground-penetrating radar; Rebar; Water pipe; Trench; Radar; Sinkhole; Geology; Corrosion; Structural engineering; Geotechnical engineering; Engineering; Materials science; Layer (electronics); Mechanical engineering; Composite material","score_opus":0.03363330283584771,"score_gpt":0.2877071847399946,"score_spread":0.2540738819041469,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2743208638","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.708473,0.00036946184,0.28507444,0.000046424782,0.000023183888,0.00008588487,0.00037434345,0.0020837917,0.0034695137],"genre_scores_gemma":[0.9230744,0.0001721521,0.07525656,0.0000134179445,0.0000074319464,0.000026470792,0.00025835008,0.000039878363,0.001151251],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997106,0.00003447337,0.000011392508,0.00007650075,0.00012768846,0.000039334467],"domain_scores_gemma":[0.9997422,0.000036127818,0.0000705744,0.000028000979,0.000109160464,0.000013883174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002744128,0.00046182502,0.000288727,0.0016073565,0.000109712506,0.00039033586,0.00040168047,0.00047650313,0.00057843124],"category_scores_gemma":[0.000583095,0.00036978663,0.00023692513,0.00085943314,0.00016056158,0.00052814226,0.0004916876,0.0002620289,0.00033807367],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024452974,0.0002293666,0.06552311,0.00034678288,0.00011454448,0.00067043526,0.00045107518,0.10135809,0.54169774,0.0013853725,0.0016959221,0.28628293],"study_design_scores_gemma":[0.00004060937,0.00044865743,0.13367397,0.0000352007,0.00008435717,0.0006726323,0.00023676113,0.7666408,0.09384738,0.0008299063,0.003415787,0.00007402908],"about_ca_topic_score_codex":0.0022651087,"about_ca_topic_score_gemma":0.0023723058,"teacher_disagreement_score":0.0022651087,"about_ca_system_score_codex":0.00018042307,"about_ca_system_score_gemma":0.0001856485,"threshold_uncertainty_score":0.004503846},"labels":[],"label_agreement":null},{"id":"W2746358836","doi":"10.1109/cefc.2016.7816127","title":"Solving finite-element time-domain problems with GaBP","year":2016,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Finite element method; Discretization; Computation; Gaussian; Time domain; Computer science; Newmark-beta method; Mixed finite element method; Algorithm; Frequency domain; Domain (mathematical analysis); Applied mathematics; Element (criminal law); Mathematical optimization; Mathematics; Mathematical analysis; Physics","score_opus":0.00897561919154155,"score_gpt":0.21009984657327035,"score_spread":0.2011242273817288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2746358836","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027855968,0.000060772014,0.9959461,0.00009714906,0.00002470571,0.000020085483,0.000021299948,0.00013200192,0.0009123312],"genre_scores_gemma":[0.12084805,0.00016246196,0.87626797,0.00014848696,0.000037652313,0.00019257246,0.00013222532,0.00017689468,0.002033673],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960726,0.00014403074,0.000021678323,0.00005605288,0.00014698347,0.0000240883],"domain_scores_gemma":[0.9977023,0.0017074371,0.00010846284,0.00015493823,0.00027426565,0.00005264796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013202124,0.00071449706,0.00068847253,0.0004709723,0.00041644662,0.00096284295,0.0013328234,0.002139628,0.0020381128],"category_scores_gemma":[0.0042069857,0.0005414671,0.0005273163,0.00051901466,0.0010610815,0.0008544237,0.0011645046,0.0018606811,0.0005331699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032563403,0.000033068663,0.00038820956,0.0001126025,0.000025510724,0.00007069957,0.00007849684,0.94932944,0.0025689572,0.020463964,0.0006123578,0.02628412],"study_design_scores_gemma":[0.0000039643337,0.000004015228,0.000017560687,0.0000039549764,0.000001339968,0.000008645525,0.0000062949143,0.99604684,0.00045462776,0.0028593102,0.0005911303,0.0000023410814],"about_ca_topic_score_codex":0.005086696,"about_ca_topic_score_gemma":0.0040225736,"teacher_disagreement_score":0.005086696,"about_ca_system_score_codex":0.00047753126,"about_ca_system_score_gemma":0.001280743,"threshold_uncertainty_score":0.010114193},"labels":[],"label_agreement":null},{"id":"W2749748714","doi":"10.1080/1478422x.2017.1330736","title":"Nature of the near-field environment in a deep geological repository and the implications for the corrosion behaviour of the container","year":2017,"lang":"en","type":"article","venue":"Corrosion Engineering Science and Technology The International Journal of Corrosion Processes and Corrosion Control","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Nuclear Waste Management Organization","funders":"","keywords":"Corrosion; Radioactive waste; Spent nuclear fuel; Container (type theory); Environmental science; Materials science; Mining engineering; Geology; Nuclear engineering; Waste management; Metallurgy; Engineering","score_opus":0.004805673775127113,"score_gpt":0.23506845156470296,"score_spread":0.23026277778957585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2749748714","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96973014,0.0059201857,0.012388631,0.00067809393,0.000032608892,0.00003068368,0.0002709108,0.000046459114,0.0109022865],"genre_scores_gemma":[0.99027985,0.0041532144,0.0032573051,0.000054311462,0.000012024114,0.000006842495,0.00012140648,0.0000119483275,0.0021030833],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99972516,0.00006103566,0.0000142212575,0.000048752267,0.00010414725,0.00004663736],"domain_scores_gemma":[0.9997036,0.00009123121,0.00010176373,0.000019332803,0.00005643225,0.00002754877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005005598,0.00019162397,0.0002878211,0.00041632357,0.000331766,0.001236395,0.0004829963,0.0006422587,0.000661845],"category_scores_gemma":[0.0006354495,0.00018009702,0.00024710162,0.00042470137,0.000570095,0.0010677106,0.00063594326,0.00035351896,0.00018141067],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089939893,0.00023510816,0.109607205,0.0031567898,0.00012665088,0.005838113,0.001797534,0.089683615,0.62110907,0.030775977,0.002393933,0.13437662],"study_design_scores_gemma":[0.000044709042,0.0039283447,0.40328753,0.0007180404,0.0002669401,0.011674238,0.010950187,0.08244864,0.3971226,0.02783659,0.061257917,0.00046423989],"about_ca_topic_score_codex":0.0038477164,"about_ca_topic_score_gemma":0.008559985,"teacher_disagreement_score":0.0038477164,"about_ca_system_score_codex":0.00095488137,"about_ca_system_score_gemma":0.00043231918,"threshold_uncertainty_score":0.0076506734},"labels":[],"label_agreement":null},{"id":"W2754683718","doi":"10.3997/1873-0604.2017021","title":"Self‐potential for monitoring soil remediation by smouldering: a proof of concept","year":2017,"lang":"en","type":"article","venue":"Near Surface Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Environmental remediation; Environmental science; Saturation (graph theory); Soil science; Geology; Contamination","score_opus":0.01611376973307019,"score_gpt":0.2690213668160664,"score_spread":0.2529075970829962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2754683718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8734203,0.002768518,0.11568373,0.00088023813,0.000401383,0.0006136171,0.00084937457,0.001954975,0.0034279383],"genre_scores_gemma":[0.9426129,0.0010766541,0.053164657,0.000178361,0.000047174683,0.00030894586,0.00016515356,0.00003967864,0.0024064295],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99964774,0.000030805804,0.000010573209,0.00008145995,0.00019499916,0.00003443972],"domain_scores_gemma":[0.9997378,0.000054347012,0.000064475746,0.00002401316,0.000083354775,0.00003601771],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005614383,0.0006096587,0.000428896,0.0003732592,0.00018066184,0.00041769425,0.0010211869,0.0009496893,0.00089758995],"category_scores_gemma":[0.0004576356,0.00031664997,0.00029247414,0.00024318717,0.00045509654,0.000679602,0.00041513605,0.0007988742,0.0003407521],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044947792,0.00007104049,0.00013945952,0.00010652366,0.0000092381415,0.000058387297,0.000028679153,0.0002797154,0.9938023,0.00019641228,0.0002587702,0.0050045005],"study_design_scores_gemma":[0.000027155682,0.00050917955,0.00069843465,0.00000890215,0.00000930201,0.000101380174,0.000031077543,0.008386981,0.98805887,0.00007491356,0.0020681429,0.00002556747],"about_ca_topic_score_codex":0.0005070995,"about_ca_topic_score_gemma":0.00063965033,"teacher_disagreement_score":0.0010211869,"about_ca_system_score_codex":0.00030897427,"about_ca_system_score_gemma":0.00034340445,"threshold_uncertainty_score":0.0030027032},"labels":[],"label_agreement":null},{"id":"W2760217991","doi":"","title":"Hydrostratigraphy of a Sand Aquifer from Combined ERT and GPR","year":2015,"lang":"en","type":"article","venue":"2015 AGU Fall Meeting","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ground-penetrating radar; Aquifer; Geology; Groundwater; Hydrology (agriculture); Geotechnical engineering; Radar; Engineering","score_opus":0.02053517645122685,"score_gpt":0.25065832607687666,"score_spread":0.2301231496256498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2760217991","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934047,0.00004951606,0.002625342,0.00007322069,0.000009343922,0.000012907961,0.0006959307,0.00018637085,0.00294274],"genre_scores_gemma":[0.99640614,0.00004587838,0.0024423555,0.00002666204,0.000005396098,0.0000038280195,0.00031883043,0.000021350552,0.00072959304],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998683,0.000008816574,0.000008813741,0.000025653964,0.000060170598,0.00002817483],"domain_scores_gemma":[0.9999008,0.00002401167,0.000009981642,0.000013352939,0.00004062077,0.000011161428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021551808,0.00023951003,0.0002936143,0.00075985235,0.00028293466,0.0005881568,0.00036769663,0.0005419215,0.0013548835],"category_scores_gemma":[0.00034230665,0.00023720607,0.00017756388,0.0008759821,0.00030405333,0.00037994864,0.000460039,0.00021484574,0.00037438748],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013087536,0.00015625475,0.086420536,0.00021503292,0.00007465635,0.004087699,0.000849005,0.015397196,0.83032125,0.0005449761,0.0017776418,0.058847006],"study_design_scores_gemma":[0.00020800519,0.0005073451,0.68370605,0.0000703734,0.00030594796,0.00395995,0.0019020624,0.11820945,0.18502909,0.0007534531,0.0052065193,0.0001417957],"about_ca_topic_score_codex":0.006752603,"about_ca_topic_score_gemma":0.0125435265,"teacher_disagreement_score":0.006752603,"about_ca_system_score_codex":0.00029310837,"about_ca_system_score_gemma":0.00033923,"threshold_uncertainty_score":0.013426602},"labels":[],"label_agreement":null},{"id":"W2762347392","doi":"10.1680/jenge.17.00016","title":"Pore-gas dynamics in overburden and reclamation soil covers","year":2017,"lang":"en","type":"article","venue":"Environmental Geotechnics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Syncrude","keywords":"Soil gas; Overburden; Carbon dioxide; Methane; Soil science; Pore water pressure; Environmental science; Flux (metallurgy); Hydrology (agriculture); Soil water; Geology; Chemistry; Geotechnical engineering","score_opus":0.00515986655451514,"score_gpt":0.20528141637428962,"score_spread":0.20012154981977448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2762347392","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997863,0.000015205503,0.00008880553,0.0000013438832,3.394015e-7,0.0000023685943,0.00003192508,0.000005634386,0.00006806664],"genre_scores_gemma":[0.99935764,0.00003831478,0.000256397,0.000002889319,6.661252e-7,0.000007651324,0.000115139475,0.000005047329,0.00021618094],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997981,0.000019572954,0.000007656434,0.000052580843,0.000071621114,0.000050435166],"domain_scores_gemma":[0.9997069,0.00008826757,0.0000808305,0.000012464406,0.00006621561,0.00004521166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001580079,0.00025330702,0.00031573026,0.0003529517,0.00025339302,0.0004865742,0.0002674726,0.0002540314,0.00032364624],"category_scores_gemma":[0.00039009517,0.00017974722,0.00014741391,0.00029997676,0.00030622704,0.0004276461,0.00033226295,0.00018268546,0.00007841306],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004383008,0.000054109118,0.04002898,0.000046020763,0.000014262728,0.00018197989,0.00040432496,0.0017648429,0.95190895,0.00004248605,0.000022932842,0.00509283],"study_design_scores_gemma":[0.000023312039,0.0012905565,0.57877195,0.000016127693,0.000038132097,0.00030352324,0.00085314,0.017699037,0.3995246,0.00009933715,0.0013451414,0.00003520352],"about_ca_topic_score_codex":0.0068218387,"about_ca_topic_score_gemma":0.006558657,"teacher_disagreement_score":0.0068218387,"about_ca_system_score_codex":0.000403521,"about_ca_system_score_gemma":0.00022620306,"threshold_uncertainty_score":0.013564289},"labels":[],"label_agreement":null},{"id":"W2762433172","doi":"10.36487/acg_rep/1710_0.2_potvin","title":"The need for new technology to optimise the engineering design of ground support systems in underground mines","year":2017,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Minerals Research Institute of Western Australia; Australian Centre for Geomechanics","keywords":"Benchmarking; Common ground; Current (fluid); Engineering; Construction engineering; Systems engineering; Computer science; Electrical engineering; Business","score_opus":0.037605064834382244,"score_gpt":0.29620120416971496,"score_spread":0.2585961393353327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2762433172","genre_codex":"methods","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016972458,0.13947728,0.77404404,0.022587243,0.0025047748,0.0002589067,0.0002633116,0.00096016953,0.042931825],"genre_scores_gemma":[0.114124216,0.14815968,0.7201463,0.003211815,0.0010680922,0.00028834594,0.0004574283,0.00050722685,0.012036911],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9934169,0.0012811029,0.00044602316,0.00033529557,0.004272913,0.00024783096],"domain_scores_gemma":[0.99109894,0.0035674605,0.0007426035,0.0008673986,0.0034646776,0.00025891454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010007781,0.0010972704,0.0013741815,0.0021351094,0.00057214237,0.0040821335,0.002340591,0.002309047,0.007076951],"category_scores_gemma":[0.010755904,0.00092922425,0.0011947766,0.0016186992,0.0019644604,0.00807975,0.0019389994,0.0036599715,0.0022603536],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008231569,0.0001274732,0.0020983405,0.006920929,0.00015152218,0.00018801824,0.00071984873,0.11910502,0.025180586,0.08111366,0.011723633,0.7525886],"study_design_scores_gemma":[0.00007751454,0.0006476129,0.0037967283,0.00570873,0.00020392856,0.0005728003,0.0020275777,0.07732269,0.016135842,0.099991985,0.7933135,0.00020104783],"about_ca_topic_score_codex":0.0052201557,"about_ca_topic_score_gemma":0.0095260255,"teacher_disagreement_score":0.010007781,"about_ca_system_score_codex":0.0032328703,"about_ca_system_score_gemma":0.004508688,"threshold_uncertainty_score":0.05292684},"labels":[],"label_agreement":null},{"id":"W2765150741","doi":"10.3997/2214-4609.201702162","title":"Characterization of the Spiritwood Valley Aquifer, North Dakota, Using a Helicopter Time-domain EM System","year":2017,"lang":"en","type":"article","venue":"Proceedings","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Aquifer; Geology; Overburden; Lithology; Bedrock; Borehole; Groundwater; Geomorphology; Basement; Block (permutation group theory); Hydrology (agriculture); Mining engineering; Petrology; Archaeology; Paleontology; Geotechnical engineering; Geography","score_opus":0.015046548506950936,"score_gpt":0.22866017687646337,"score_spread":0.21361362836951242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765150741","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99478203,0.000024147344,0.001687106,0.000030062722,0.0000021515339,0.0000159858,0.0010939444,0.00007366678,0.0022908726],"genre_scores_gemma":[0.99501663,0.000025025913,0.003348845,0.000016950053,0.0000012874418,0.000012904442,0.00097363873,0.000008439341,0.0005963077],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999747,0.0000021050157,0.0000014860112,0.000009092805,0.0000066485068,0.00000594616],"domain_scores_gemma":[0.99991775,0.000009366291,0.000009786561,0.0000104885485,0.00003953391,0.000013094005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007215065,0.00015944602,0.000069202426,0.0004807113,0.0002487793,0.00022670829,0.00022814117,0.0001363817,0.0007598617],"category_scores_gemma":[0.00019117941,0.00009194013,0.000071448165,0.00050648046,0.000116269606,0.00015058076,0.00023492338,0.000094055984,0.00012915322],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031877492,0.00028739736,0.6921622,0.000119510965,0.00006266452,0.0011054059,0.0011704968,0.06277602,0.11643285,0.00086936593,0.004582095,0.120113246],"study_design_scores_gemma":[0.000023777611,0.00004558434,0.79926306,0.000016661827,0.000016955762,0.00017482864,0.0010006159,0.18986917,0.006655832,0.00016590246,0.0027496999,0.000017969813],"about_ca_topic_score_codex":0.114880055,"about_ca_topic_score_gemma":0.28043985,"teacher_disagreement_score":0.114880055,"about_ca_system_score_codex":0.00045915772,"about_ca_system_score_gemma":0.00045473818,"threshold_uncertainty_score":0.22842276},"labels":[],"label_agreement":null},{"id":"W2765493227","doi":"10.5194/isprs-archives-xlii-4-w7-43-2017","title":"A WEBGIS TO SUPPORT GPR 3D DATA ACQUISITION: A FIRST STEP FOR THE INTEGRATION OFUNDERGROUND UTILITY NETWORKS IN 3D CITY MODELS","year":2017,"lang":"en","type":"article","venue":"The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Division of Mathematical Sciences; Mitacs","keywords":"Ground-penetrating radar; Geospatial analysis; Computer science; Visualization; Interface (matter); Geographic information system; Interoperability; Data mining; Database; Remote sensing; Radar; Geology; World Wide Web","score_opus":0.0551339658296847,"score_gpt":0.30517698445472263,"score_spread":0.2500430186250379,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765493227","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0046482775,0.00014231543,0.9142974,0.00023955785,0.00015856537,0.0003675982,0.0026919898,0.06912876,0.008325565],"genre_scores_gemma":[0.061469335,0.00045250522,0.89827526,0.00031683486,0.00007086491,0.0009115568,0.013127357,0.016747963,0.0086282985],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934345,0.00012061994,0.000076373384,0.00008810095,0.0003308381,0.000040586674],"domain_scores_gemma":[0.9988079,0.00023970389,0.000047959802,0.0003874394,0.00040152651,0.000115519266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001301313,0.0010956654,0.00063400547,0.0015825093,0.0003223056,0.0024029845,0.00149008,0.00091103994,0.014044269],"category_scores_gemma":[0.0024743516,0.0007537104,0.0009898169,0.0010948094,0.00040802656,0.0024684914,0.0022707875,0.0015673096,0.0097253565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056099077,0.0007363077,0.007198581,0.0017204046,0.00044633052,0.0020114796,0.0023242645,0.05718176,0.061965615,0.06317499,0.13800189,0.66467744],"study_design_scores_gemma":[0.00013322888,0.00017068308,0.0045716967,0.00048864196,0.000102674414,0.00090290565,0.00039681024,0.26665875,0.05359586,0.025919082,0.6468769,0.00018277668],"about_ca_topic_score_codex":0.0011957352,"about_ca_topic_score_gemma":0.0011157894,"teacher_disagreement_score":0.014044269,"about_ca_system_score_codex":0.00029136395,"about_ca_system_score_gemma":0.0008668111,"threshold_uncertainty_score":0.046982706},"labels":[],"label_agreement":null},{"id":"W2766120394","doi":"10.1109/cadiag.2017.8075676","title":"One-class SVM for landmine detection and discrimination","year":2017,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Support vector machine; Kernel (algebra); Artificial intelligence; Ground-penetrating radar; Radial basis function kernel; Anomaly detection; Computer science; Pattern recognition (psychology); Outlier; Centroid; Polynomial kernel; Class (philosophy); Radar; Computer vision; Kernel method; Mathematics","score_opus":0.036594471317490496,"score_gpt":0.2960200626214335,"score_spread":0.259425591303943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766120394","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.073550485,0.0022298857,0.91786385,0.0003605483,0.00028295766,0.000116613446,0.00031882944,0.0028195307,0.0024572713],"genre_scores_gemma":[0.8147434,0.0008085953,0.17899466,0.000180385,0.00014629186,0.00015194432,0.0009981715,0.000098098695,0.0038784582],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988311,0.0002940255,0.00013153384,0.00027160053,0.000337419,0.00013420962],"domain_scores_gemma":[0.99880826,0.00047909238,0.000121806916,0.00011213163,0.00043617698,0.00004252876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012915793,0.0008338956,0.0010067204,0.00095107337,0.00029213636,0.00086622906,0.0009461318,0.0010745114,0.001498015],"category_scores_gemma":[0.0030548687,0.00019915219,0.0006438995,0.00077966804,0.0002314835,0.0009539052,0.000474709,0.0010150374,0.00090538396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045168394,0.00035341983,0.006301697,0.0003023208,0.00018814666,0.00015858818,0.00008850575,0.09746905,0.018377397,0.0026449396,0.00522432,0.86844003],"study_design_scores_gemma":[0.000010259371,0.00010769272,0.0015727729,0.000016607024,0.000020924646,0.00010118638,0.000036758654,0.9898184,0.005606093,0.0011073978,0.0015869786,0.000014959933],"about_ca_topic_score_codex":0.00181649,"about_ca_topic_score_gemma":0.001097009,"teacher_disagreement_score":0.00181649,"about_ca_system_score_codex":0.00040759935,"about_ca_system_score_gemma":0.00054811157,"threshold_uncertainty_score":0.006830573},"labels":[],"label_agreement":null},{"id":"W2766763607","doi":"10.1016/b978-0-12-386464-2.00032-x","title":"Underwater and Underground Crime Scenes","year":2012,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Unit (ring theory); Head (geology); Intervention (counseling); Criminology; History; Sociology; Psychology; Geology; Psychiatry","score_opus":0.022480421706552667,"score_gpt":0.24351795839514426,"score_spread":0.22103753668859158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766763607","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010642115,0.025639532,0.0029029155,0.0017355959,0.0016965263,0.000024747054,0.0003295579,0.0001334812,0.96647334],"genre_scores_gemma":[0.0052121915,0.02297427,0.0021822655,0.00041561658,0.0005451919,0.000017893295,0.00037634512,0.000120887664,0.9681553],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999848,0.000022744365,0.000006716371,0.00002085829,0.00008116605,0.000020548587],"domain_scores_gemma":[0.9999168,0.000022982054,0.0000063426105,0.0000090781205,0.000031336473,0.000013472675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001322601,0.0011360629,0.00040464808,0.0019359869,0.0011351866,0.0027505804,0.00065183395,0.0014133595,0.13017547],"category_scores_gemma":[0.00048817488,0.0003933923,0.00028392585,0.0019448078,0.0008377507,0.0020985943,0.001698335,0.0010154224,0.030627549],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008594336,0.000025291472,0.00031491386,0.00021803922,0.000004659994,0.00018782544,0.0007772559,0.000354243,0.00027149616,0.04972757,0.47695237,0.47115773],"study_design_scores_gemma":[6.5768074e-7,0.000004380511,0.00052977185,0.00021771163,0.0000021030994,0.00024905283,0.0005783963,0.00007907931,0.00006737911,0.00724553,0.99102217,0.0000038387047],"about_ca_topic_score_codex":0.009838863,"about_ca_topic_score_gemma":0.037775114,"teacher_disagreement_score":0.13017547,"about_ca_system_score_codex":0.000652754,"about_ca_system_score_gemma":0.0011289659,"threshold_uncertainty_score":0.43548036},"labels":[],"label_agreement":null},{"id":"W2770450738","doi":"","title":"Performance Evaluation of Equipment Used for Volumetric Water Content Measurements","year":2017,"lang":"en","type":"article","venue":"Depositum (Université du Québec en Abitibi-Témiscamingue)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; IAMGOLD; Polytechnique Montréal","keywords":"Tailings; Sulfur; Reflectometry; Water content; Chemistry; Sulfide; Mineralogy; Sulfide minerals; Environmental chemistry; Environmental science; Analytical Chemistry (journal); Pyrite; Time domain; Geology; Computer science","score_opus":0.05274965399665456,"score_gpt":0.24642130762172093,"score_spread":0.1936716536250664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770450738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.673847,0.0025993958,0.30787534,0.000541789,0.0003492321,0.0017723964,0.0020039869,0.006743818,0.0042669196],"genre_scores_gemma":[0.8381202,0.0015757936,0.14854497,0.00051432964,0.00010875889,0.0013220224,0.0021322987,0.0006480237,0.007033486],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9952786,0.0007816382,0.00032696786,0.00097569666,0.002233896,0.00040326637],"domain_scores_gemma":[0.9924744,0.0033671597,0.00048681494,0.0008639137,0.002626871,0.00018084221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004305927,0.0014326124,0.00087429315,0.0019459169,0.0005211798,0.0011096325,0.0023970753,0.0016489312,0.0038009083],"category_scores_gemma":[0.010969899,0.0005652054,0.00051617314,0.0014470726,0.00045882218,0.0014090951,0.0010078398,0.000468431,0.0022076021],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017777456,0.00029951974,0.012417685,0.0009997892,0.00012717987,0.00029368338,0.00039291458,0.0036423577,0.8586928,0.00048056155,0.0014937118,0.119382076],"study_design_scores_gemma":[0.000054827462,0.0026885183,0.015736632,0.000071226714,0.0001949799,0.00049189315,0.0002977336,0.018425811,0.95093,0.00013690242,0.010889553,0.00008188979],"about_ca_topic_score_codex":0.0013834098,"about_ca_topic_score_gemma":0.001044089,"teacher_disagreement_score":0.004305927,"about_ca_system_score_codex":0.0009252024,"about_ca_system_score_gemma":0.0005235191,"threshold_uncertainty_score":0.022772193},"labels":[],"label_agreement":null},{"id":"W2771128980","doi":"","title":"Ground Penetrating Radar Imaging of Ancient Clastic Deposits: A Tool for Three-Dimensional Outcrop Studies","year":2011,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"International Association of Sedimentologists","keywords":"Ground-penetrating radar; Outcrop; Clastic rock; Geology; Archaeology; Radar; Paleontology; Engineering; Geography; Sedimentary rock; Aerospace engineering","score_opus":0.02411763824164747,"score_gpt":0.27078665794541334,"score_spread":0.24666901970376587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771128980","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36511305,0.0011408365,0.62037516,0.00021774169,0.000045198543,0.00023283341,0.0012084924,0.002045134,0.009621568],"genre_scores_gemma":[0.46717265,0.0009985135,0.52874315,0.00008842973,0.000017178725,0.000108537286,0.0006452854,0.00020894421,0.0020173423],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99979705,0.000046132383,0.00001166089,0.000036525093,0.000092445196,0.00001612352],"domain_scores_gemma":[0.9995377,0.00014136541,0.00005269192,0.000103592465,0.0001336945,0.00003095183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042815128,0.000363294,0.00019796588,0.0017370154,0.00017639445,0.000832357,0.00035425497,0.00041665373,0.0008418309],"category_scores_gemma":[0.00088288856,0.0003311501,0.00019931175,0.0011373,0.0002746599,0.00046753124,0.0006632288,0.00046819684,0.0003871145],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013218216,0.00008562611,0.024421012,0.00029441935,0.000058310412,0.0010379902,0.0011692217,0.009345973,0.4556612,0.0029726683,0.0015599177,0.50326157],"study_design_scores_gemma":[0.00006621586,0.0004698259,0.32077354,0.00042560918,0.00021151996,0.008776566,0.002944335,0.193147,0.40077746,0.0074665183,0.06464795,0.00029349027],"about_ca_topic_score_codex":0.0010333074,"about_ca_topic_score_gemma":0.0026458937,"teacher_disagreement_score":0.0017370154,"about_ca_system_score_codex":0.00014956205,"about_ca_system_score_gemma":0.00029671314,"threshold_uncertainty_score":0.0028162003},"labels":[],"label_agreement":null},{"id":"W2774363086","doi":"10.14288/1.0361155","title":"Investigating electrical resistivity of highly compacted bentonite as a monitoring option for nuclear waste repositories","year":2017,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Bentonite; Radioactive waste; Electrical resistivity and conductivity; Waste management; Environmental science; Geology; Geotechnical engineering; Engineering","score_opus":0.014259500827744812,"score_gpt":0.2165350255635993,"score_spread":0.20227552473585447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2774363086","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98991793,0.0025483575,0.0057358523,0.00012221125,0.00003811679,0.000024056835,0.0002910196,0.00007288066,0.0012496321],"genre_scores_gemma":[0.993889,0.0013574385,0.003400466,0.00004398677,0.000011944392,0.000016171276,0.00018129678,0.000016266682,0.0010833316],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997596,0.000031853095,0.000016808757,0.000049041293,0.00011838213,0.000024316685],"domain_scores_gemma":[0.99969566,0.00006999596,0.00007618166,0.000015246261,0.0001283643,0.000014607084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023811542,0.00028443197,0.00025698953,0.00052564096,0.00012586509,0.00047843135,0.0002486323,0.000484528,0.0003708247],"category_scores_gemma":[0.0005265975,0.00017112159,0.00024710066,0.0005132483,0.00015374788,0.0005392776,0.0001853609,0.0003465052,0.00016769671],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065375105,0.00004509228,0.0027369163,0.00023894731,0.000014333503,0.0001880525,0.00008409569,0.0008005072,0.9863848,0.00007414487,0.00009888108,0.009268785],"study_design_scores_gemma":[0.000010298537,0.0009397766,0.029548245,0.00006378206,0.00008785035,0.0007088187,0.0005861811,0.011036235,0.95125055,0.00014634528,0.0055763493,0.00004545176],"about_ca_topic_score_codex":0.00066387386,"about_ca_topic_score_gemma":0.0015200162,"teacher_disagreement_score":0.00066387386,"about_ca_system_score_codex":0.00015033587,"about_ca_system_score_gemma":0.00009137315,"threshold_uncertainty_score":0.0013200045},"labels":[],"label_agreement":null},{"id":"W2776997105","doi":"10.1130/b31602.1","title":"Geophysical evidence for an igneous dike swarm, Buffalo Creek, Northeast Alberta","year":2017,"lang":"en","type":"article","venue":"Geological Society of America Bulletin","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Government of Alberta","keywords":"Citation; Dike; Geology; Library science; Geophysics; Archaeology; History; Paleontology; Computer science","score_opus":0.04791381171387974,"score_gpt":0.3044996361652009,"score_spread":0.25658582445132117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2776997105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74238884,0.0076347436,0.0015093392,0.0058391644,0.00025747472,0.00008943942,0.009545979,0.00045836758,0.23227668],"genre_scores_gemma":[0.96580094,0.0035208375,0.0011131676,0.00031655247,0.00006970752,0.000010721135,0.0032764464,0.0000710105,0.025820596],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99957675,0.000008380477,0.000014008235,0.000040258372,0.00031263306,0.000047836824],"domain_scores_gemma":[0.9992951,0.000053836095,0.00009825965,0.000043875167,0.00038675728,0.00012207394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002741492,0.00016733095,0.00024793396,0.0019204873,0.002314492,0.0018489363,0.00068418926,0.000420271,0.0050682607],"category_scores_gemma":[0.0009977202,0.00019949712,0.00009988554,0.003942949,0.0016214495,0.00057447975,0.00117426,0.00052081083,0.00057304476],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006546483,0.0000975765,0.6758922,0.0010427544,0.00022524108,0.0034257346,0.010080631,0.0029359255,0.018817227,0.014557185,0.10994631,0.1623246],"study_design_scores_gemma":[0.000025713238,0.000014495084,0.9093153,0.00014426371,0.000047920465,0.0002800669,0.004677297,0.0008424978,0.0008506463,0.00086821546,0.082909234,0.000024309007],"about_ca_topic_score_codex":0.90694046,"about_ca_topic_score_gemma":0.9685361,"teacher_disagreement_score":0.09305954,"about_ca_system_score_codex":0.0077053383,"about_ca_system_score_gemma":0.012073038,"threshold_uncertainty_score":0.18721515},"labels":[],"label_agreement":null},{"id":"W2777101997","doi":"10.13140/rg.2.1.3087.7282","title":"Statics Preserving Sparse Radon Transform","year":2014,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Statics; Radon; Minification; Comparative statics; Radon transform; Mathematical optimization; Domain (mathematical analysis); Representation (politics); Computer science; Algorithm; Mathematics; Physics; Mathematical analysis","score_opus":0.07076740192624839,"score_gpt":0.19221996645345688,"score_spread":0.12145256452720848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2777101997","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005258891,0.00008615918,0.9930748,0.00006199242,0.000027003667,0.000009530956,0.000036923575,0.000203307,0.0012414084],"genre_scores_gemma":[0.21357241,0.0005491005,0.77728254,0.00018196044,0.00016984793,0.000057687303,0.00060841214,0.00028917467,0.007288858],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994758,0.00010428982,0.000026306205,0.000109404915,0.00024245011,0.000041708587],"domain_scores_gemma":[0.9995407,0.00011772704,0.000057658945,0.000113634196,0.0001478206,0.000022438491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061743654,0.00060385984,0.0007776131,0.0007486794,0.0002958849,0.0008277529,0.0008055346,0.00074432004,0.0017848416],"category_scores_gemma":[0.0018275183,0.00033154752,0.00077203003,0.0008567366,0.00060209836,0.0012461554,0.0011430782,0.0009314248,0.0011972482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022343684,0.00008824221,0.001598806,0.00020001453,0.000076092176,0.0003189272,0.00019317825,0.23958203,0.08736782,0.10231717,0.00548581,0.5625485],"study_design_scores_gemma":[0.000009543165,0.000073502306,0.00045635985,0.000011234906,0.000020505908,0.00041413872,0.000034334287,0.95305663,0.022625783,0.014121401,0.009150939,0.000025628498],"about_ca_topic_score_codex":0.0009536162,"about_ca_topic_score_gemma":0.00085461553,"teacher_disagreement_score":0.0017848416,"about_ca_system_score_codex":0.00029054895,"about_ca_system_score_gemma":0.00058750657,"threshold_uncertainty_score":0.0059708357},"labels":[],"label_agreement":null},{"id":"W2780647042","doi":"","title":"Noise Isolation Class (NIC) Testing of Modular Office Partitions","year":2017,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Rowan Williams Davies & Irwin (Canada)","funders":"","keywords":"Plenum space; Ceiling (cloud); Modular design; Debugging; Tile; Computer science; Undoing; Engineering; Structural engineering; Acoustics; Architectural engineering; Mechanical engineering; Operating system","score_opus":0.03167326489823494,"score_gpt":0.2503595953438358,"score_spread":0.21868633044560085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2780647042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9581557,0.00010420804,0.029390456,0.00009050583,0.00015920136,0.00016386333,0.00033295457,0.000733134,0.010869979],"genre_scores_gemma":[0.99151015,0.00004171565,0.0055004833,0.000084367806,0.000017139246,0.00008902361,0.00017911682,0.00009966007,0.0024783306],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99773467,0.00028008933,0.0001160861,0.0004329198,0.0009771688,0.0004590743],"domain_scores_gemma":[0.99428385,0.0017123389,0.00042888237,0.0007541865,0.0023493934,0.00047140024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012000535,0.0008833559,0.00049974123,0.0009174249,0.00093635014,0.000797507,0.0016967874,0.0010215961,0.0057897386],"category_scores_gemma":[0.005688528,0.00029953552,0.0004080723,0.0005253226,0.00085994066,0.00093470473,0.0016475439,0.00052532944,0.0018892789],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007467592,0.0012951508,0.040143237,0.00062322646,0.00013735448,0.0026714983,0.003015733,0.04043377,0.78350365,0.0029144965,0.0030563374,0.11473788],"study_design_scores_gemma":[0.000229157,0.010652934,0.055129975,0.0001584156,0.0001814765,0.0018019438,0.002420894,0.071002804,0.8384923,0.0016055603,0.018168272,0.00015620817],"about_ca_topic_score_codex":0.0023562394,"about_ca_topic_score_gemma":0.0028735031,"teacher_disagreement_score":0.0057897386,"about_ca_system_score_codex":0.0006812101,"about_ca_system_score_gemma":0.0004974173,"threshold_uncertainty_score":0.019368589},"labels":[],"label_agreement":null},{"id":"W2789024737","doi":"10.1520/gtj20170035","title":"Characterization of Self-Weight Consolidation of Fine-Grained Mine Tailings Using Moisture Sensors","year":2018,"lang":"en","type":"article","venue":"Geotechnical Testing Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Tailings; Consolidation (business); Geotechnical engineering; Geology; Water content; Moisture; Mining engineering; Materials science; Composite material; Metallurgy","score_opus":0.0260261652165931,"score_gpt":0.2671167119066494,"score_spread":0.24109054669005628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789024737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99203265,0.0000892198,0.0074135773,0.0000061292426,0.000006201113,0.000022140619,0.00008258663,0.000061324674,0.00028631126],"genre_scores_gemma":[0.9977744,0.00003262296,0.0019070252,0.000006202891,0.000001848003,0.0000075383314,0.000050625,0.0000046993077,0.000214965],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99978083,0.000018941504,0.000019712435,0.000043165528,0.00010978054,0.000027610948],"domain_scores_gemma":[0.999658,0.000081241225,0.00007760939,0.000045393313,0.00011631232,0.000021434676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024574407,0.00019073277,0.00018199887,0.00036807224,0.000112776834,0.00021864091,0.00030406867,0.00026060652,0.00058844587],"category_scores_gemma":[0.0005247664,0.00012142975,0.00012403491,0.00023949976,0.00025233848,0.00031578896,0.0002150392,0.00017155943,0.00014247016],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000632781,0.000034158285,0.0088146,0.000029106857,0.000005574416,0.000040793468,0.00007632403,0.0003444752,0.98211217,0.000036870595,0.000030317735,0.008412351],"study_design_scores_gemma":[0.0000068698787,0.0004207916,0.051799744,0.000006554184,0.0000132418745,0.00012444687,0.00019650819,0.006095362,0.9407084,0.000040082447,0.0005797058,0.000008336848],"about_ca_topic_score_codex":0.0006791409,"about_ca_topic_score_gemma":0.0020298006,"teacher_disagreement_score":0.0006791409,"about_ca_system_score_codex":0.00012154327,"about_ca_system_score_gemma":0.00011548971,"threshold_uncertainty_score":0.0019685626},"labels":[],"label_agreement":null},{"id":"W2789289483","doi":"","title":"Real of fake? Follow-ups on signatures observed on US radar composites","year":2015,"lang":"en","type":"article","venue":"37th Conference on Radar Meteorology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Radar; Composite material; Remote sensing; Geology; Computer science; Materials science; Telecommunications","score_opus":0.06623465229674366,"score_gpt":0.28115986713034097,"score_spread":0.2149252148335973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789289483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98496556,0.00032378605,0.0024585181,0.0012292668,0.00023068291,0.000014117126,0.0006177376,0.00014315998,0.010017151],"genre_scores_gemma":[0.99731207,0.00007125543,0.00090303883,0.00007285052,0.000044902234,0.0000020777854,0.0002450881,0.000026851143,0.001321879],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994456,0.00008840294,0.000025510575,0.000087104534,0.00021628101,0.00013709244],"domain_scores_gemma":[0.99652183,0.0008378819,0.0007251533,0.0010520669,0.0006860809,0.00017710112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008493262,0.00019885162,0.00021133575,0.00077734486,0.00060445094,0.0011900057,0.00026114253,0.000934548,0.004005645],"category_scores_gemma":[0.005762216,0.00023678376,0.00016998599,0.00059969013,0.0004953246,0.0014630898,0.0006520803,0.0009800703,0.0013140191],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030761238,0.00037746882,0.62415296,0.00020638305,0.000270302,0.005371956,0.004126618,0.00828591,0.07165312,0.012250263,0.035859026,0.23436984],"study_design_scores_gemma":[0.00003540376,0.00027725368,0.88322353,0.00012431391,0.0001266929,0.0030243697,0.0043122093,0.040410325,0.030866342,0.005060764,0.032394487,0.00014432195],"about_ca_topic_score_codex":0.002052831,"about_ca_topic_score_gemma":0.002873296,"teacher_disagreement_score":0.004005645,"about_ca_system_score_codex":0.00031395568,"about_ca_system_score_gemma":0.00019744503,"threshold_uncertainty_score":0.013400197},"labels":[],"label_agreement":null},{"id":"W2789376023","doi":"10.4095/306493","title":"The Bells Corner borehole geophysical calibration facility of the Geological Survey of Canada","year":2018,"lang":"en","type":"report","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Borehole; Geophysical survey; Geology; Calibration; Seismology; Geological survey; Geophysics; Geotechnical engineering; Statistics; Mathematics","score_opus":0.039614252510856866,"score_gpt":0.2614830574442926,"score_spread":0.22186880493343575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789376023","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03492531,0.002313176,0.017959429,0.0075510517,0.0009109423,0.0009270249,0.64591646,0.003224533,0.28627202],"genre_scores_gemma":[0.1828882,0.004555576,0.07037154,0.0033205084,0.0001374706,0.0007580135,0.4419785,0.001195216,0.2947949],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.998002,0.000101803504,0.00005376663,0.0002379396,0.0013269085,0.00027761664],"domain_scores_gemma":[0.99137574,0.00019179993,0.00021048455,0.00033223123,0.007537548,0.00035217375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012155297,0.0006110208,0.0005550256,0.0025082594,0.002588937,0.0016988793,0.0017076877,0.000518642,0.028602535],"category_scores_gemma":[0.0033450206,0.0005198536,0.0002589819,0.0066735703,0.00070913124,0.0009625578,0.0011354872,0.0011328263,0.005540217],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012913288,0.00006906029,0.03983346,0.00024030227,0.000033886645,0.00014750505,0.00048181997,0.0009892435,0.0015251042,0.010293335,0.84953725,0.096719824],"study_design_scores_gemma":[0.00005582663,0.000021456333,0.111597374,0.00019713893,0.000024931189,0.00006876256,0.000926462,0.002409917,0.0010741246,0.0012996871,0.8822555,0.00006878],"about_ca_topic_score_codex":0.9884022,"about_ca_topic_score_gemma":0.99359965,"teacher_disagreement_score":0.028602535,"about_ca_system_score_codex":0.020648545,"about_ca_system_score_gemma":0.08435049,"threshold_uncertainty_score":0.1498164},"labels":[],"label_agreement":null},{"id":"W2790059495","doi":"10.4095/306396","title":"Wireline logging and distributed acoustic sensing VSP to characterize host rocks and alteration of porphyry deposits: preliminary results from the New Afton mine","year":2018,"lang":"en","type":"report","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Wireline; Geology; Logging; Well logging; Host (biology); Geochemistry; Petroleum engineering; Engineering; Wireless; Biology; Telecommunications","score_opus":0.022619783559804724,"score_gpt":0.2626309300744808,"score_spread":0.24001114651467606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790059495","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99864346,0.00002159114,0.000353543,0.000013980855,0.0000011703024,0.000037180624,0.00032939913,0.000010763501,0.0005888372],"genre_scores_gemma":[0.9959602,0.00005542612,0.0025451048,0.000019200845,0.0000034442585,0.000039809092,0.00053878786,0.000008020982,0.00083015393],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994702,0.000051925254,0.000028124776,0.00013841018,0.00022831124,0.00008313823],"domain_scores_gemma":[0.9994055,0.00007612267,0.00008213407,0.000041044386,0.00028083008,0.00011440779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041897615,0.0004699619,0.00026870333,0.001140217,0.0007359581,0.00042179902,0.0005281901,0.0004392354,0.0005219551],"category_scores_gemma":[0.0006014795,0.0003240402,0.00019117685,0.001323311,0.00047967726,0.00038407304,0.0005856167,0.00032821202,0.00019984476],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010071611,0.000588743,0.7651582,0.00013565422,0.00007002019,0.002029061,0.0047302456,0.0018280192,0.16396236,0.00007217483,0.00042216748,0.059996206],"study_design_scores_gemma":[0.000028199798,0.00034503767,0.9885982,0.0000078427065,0.000015773056,0.00031785856,0.0011338213,0.0019762006,0.006844401,0.000022048886,0.00069950335,0.0000110905985],"about_ca_topic_score_codex":0.118557125,"about_ca_topic_score_gemma":0.3684157,"teacher_disagreement_score":0.8814429,"about_ca_system_score_codex":0.00088476774,"about_ca_system_score_gemma":0.0008586183,"threshold_uncertainty_score":0.2357341},"labels":[],"label_agreement":null},{"id":"W2790371937","doi":"10.1007/s10816-018-9370-6","title":"Integrated Geophysical Techniques for the Archaeological Investigation of LbDt-1, a Paleo-Inuit Lithic Quarry Site in the Interior of Southern Baffin Island, Nunavut, Canada","year":2018,"lang":"en","type":"article","venue":"Journal of Archaeological Method and Theory","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo; University of Manitoba","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Geology; Prehistory; Ground-penetrating radar; Inversion (geology); Magnetic survey; Debitage; Archaeology; Geophysics; Geomorphology; Radar; Paleontology; Magnetic anomaly","score_opus":0.016460504613395713,"score_gpt":0.2680518345129,"score_spread":0.2515913298995043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790371937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891555,0.00033325463,0.0015649621,0.00009992444,0.000010449948,0.00018683908,0.001593237,0.000023866622,0.0070319404],"genre_scores_gemma":[0.98569494,0.0003777167,0.008822732,0.00004157561,0.00000711946,0.00010306416,0.0007522432,0.000021675192,0.00417888],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99967,0.000030015273,0.000016695265,0.00004301753,0.00015868057,0.00008154151],"domain_scores_gemma":[0.99956626,0.000041422936,0.000037099995,0.000022806757,0.00027297146,0.00005947669],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031582417,0.00032518525,0.00023906812,0.003284425,0.0031218627,0.0010986216,0.00092470006,0.00031290893,0.0013872571],"category_scores_gemma":[0.00085970544,0.00027921758,0.00014043297,0.004874314,0.00080019265,0.00024199899,0.0010565001,0.0003714481,0.00032293025],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002992819,0.00025962514,0.78297395,0.00032444234,0.00006258112,0.0032717397,0.041343957,0.0019279219,0.049475033,0.0010234663,0.0021515782,0.11688649],"study_design_scores_gemma":[0.000011240716,0.000037361293,0.9679285,0.000065976645,0.000022576965,0.0006624924,0.021258226,0.0016341192,0.0018149877,0.000105024046,0.0064390153,0.000020357063],"about_ca_topic_score_codex":0.9062983,"about_ca_topic_score_gemma":0.9838065,"teacher_disagreement_score":0.09370172,"about_ca_system_score_codex":0.004302657,"about_ca_system_score_gemma":0.008475902,"threshold_uncertainty_score":0.18850702},"labels":[],"label_agreement":null},{"id":"W2790483062","doi":"10.1071/aseg2018abw10_3e","title":"Geophysics of the Patterson Lake South Uranium Deposit, northwestern Saskatchewan","year":2018,"lang":"en","type":"article","venue":"ASEG Extended Abstracts","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Petro Geotech (Canada)","funders":"Lomonosov Moscow State University; Areva","keywords":"Geology; Uranium ore; Structural basin; Uranium; Radiometric dating; Geochemistry; Electrical resistivity and conductivity; Prospecting; Geomorphology; Mineralogy; Mining engineering","score_opus":0.008738989020080483,"score_gpt":0.21822273771779896,"score_spread":0.20948374869771846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790483062","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9694174,0.0005304822,0.00020418625,0.00067282165,0.000014468945,0.000050515842,0.0042287605,0.00006760862,0.024813825],"genre_scores_gemma":[0.9762288,0.0006689402,0.0007079347,0.00018667513,0.000005459238,0.000026402386,0.0017972698,0.000024115814,0.020354377],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99991536,0.000005187736,0.0000049711066,0.000020736483,0.000031385927,0.000022346258],"domain_scores_gemma":[0.9997961,0.000019257395,0.000023409833,0.000015112579,0.00011483725,0.000031338037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000085455875,0.00028457656,0.00013532993,0.0013835112,0.00157207,0.0008137779,0.00039805615,0.0002667865,0.0052800965],"category_scores_gemma":[0.00030560026,0.00024628287,0.00012795266,0.00213676,0.00048132963,0.0003129376,0.0007792339,0.00029465358,0.0006983964],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015635745,0.000059467784,0.8610368,0.00025124394,0.00015953243,0.0040982636,0.005206215,0.0034110127,0.03052487,0.0020951405,0.011150812,0.08185025],"study_design_scores_gemma":[0.000009813968,0.000011283405,0.9810363,0.000068212605,0.000016649636,0.00033699826,0.004694186,0.0010528144,0.0009874518,0.0002712662,0.011494649,0.000020269705],"about_ca_topic_score_codex":0.9542644,"about_ca_topic_score_gemma":0.9920142,"teacher_disagreement_score":0.045735598,"about_ca_system_score_codex":0.0068899705,"about_ca_system_score_gemma":0.0077667213,"threshold_uncertainty_score":0.09200984},"labels":[],"label_agreement":null},{"id":"W2790728476","doi":"10.1139/cjce-2017-0160","title":"Two-tier data fusion method for bridge condition assessment","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Sensor fusion; Bridge (graph theory); Nondestructive testing; Feature (linguistics); Ground-penetrating radar; Computer science; Image fusion; Data mining; Engineering; Radar; Reliability engineering; Artificial intelligence; Image (mathematics); Telecommunications","score_opus":0.03252781655918191,"score_gpt":0.3260044330411756,"score_spread":0.2934766164819937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790728476","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023006588,0.00020876944,0.9738097,0.000055392888,0.000048957812,0.00011211975,0.00028631982,0.0011413269,0.0013308272],"genre_scores_gemma":[0.39500478,0.00020113827,0.6018529,0.000085982836,0.000037568927,0.00021236,0.0008214973,0.00008394605,0.0016998369],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998406,0.00019361598,0.0001143192,0.0003839207,0.0007527229,0.00014945127],"domain_scores_gemma":[0.9985801,0.00025047906,0.00012217624,0.0002261757,0.00077140547,0.000049706006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015230037,0.00080175727,0.00076715165,0.002976187,0.00045732575,0.0011543026,0.00068325683,0.0007604554,0.0015546179],"category_scores_gemma":[0.0030036645,0.00036047387,0.00092490093,0.0016317158,0.00034145647,0.0016668584,0.0015455149,0.00071110466,0.00076890306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004891136,0.00029926572,0.014273467,0.0001935589,0.00020321568,0.00017659001,0.00034668582,0.047965873,0.09155054,0.0054894383,0.0029938347,0.8360183],"study_design_scores_gemma":[0.0000310379,0.00026367826,0.017161418,0.000032491105,0.00010833808,0.00038304713,0.00018723855,0.9157676,0.05532305,0.004623146,0.0059996247,0.00011938734],"about_ca_topic_score_codex":0.002804488,"about_ca_topic_score_gemma":0.0038689775,"teacher_disagreement_score":0.002976187,"about_ca_system_score_codex":0.00053948915,"about_ca_system_score_gemma":0.00079160655,"threshold_uncertainty_score":0.008054495},"labels":[],"label_agreement":null},{"id":"W2791310580","doi":"10.1016/j.apgeochem.2018.03.011","title":"The in-diffusion of 133Ba in granitic rock cubes from the Olkiluoto and Grimsel in-situ test sites","year":2018,"lang":"en","type":"article","venue":"Applied Geochemistry","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Suomalainen Tiedeakatemia; Nuclear Waste Management Organization","keywords":"Geology; Diffusion; Mineralogy; Homogeneous; Radionuclide; In situ; Granitic rock; Geochemistry; Chemistry; Thermodynamics","score_opus":0.0064995818353525145,"score_gpt":0.21327946159858058,"score_spread":0.20677987976322806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791310580","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998752,0.000020508178,0.00021370439,0.00001202738,0.0000018399907,0.000002607551,0.00026465638,0.000014949798,0.0007176903],"genre_scores_gemma":[0.9989343,0.000025228388,0.00024299938,0.0000071130553,8.7582026e-7,0.0000040488944,0.0003144858,0.000011850328,0.00045908394],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998883,0.0000067679266,0.000003969548,0.00003605489,0.000024604047,0.00004037656],"domain_scores_gemma":[0.9999224,0.000015899843,0.0000165219,0.0000058057203,0.000025354524,0.000013925739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001193005,0.00028470924,0.000266563,0.00051163964,0.0004897208,0.0006456859,0.0004586455,0.0004240737,0.0008829121],"category_scores_gemma":[0.00020780739,0.00023625561,0.00021395404,0.00039475565,0.00041631825,0.0004367387,0.00037818067,0.00034487637,0.00024055454],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089678785,0.00007092136,0.112548225,0.00008571097,0.00005869122,0.00046680472,0.00078133895,0.0013960929,0.879069,0.0001553675,0.00018071549,0.004290307],"study_design_scores_gemma":[0.000086089705,0.00032078984,0.58554775,0.000020232528,0.00014160236,0.00062521285,0.0023042602,0.006517745,0.40095934,0.00015754819,0.003276998,0.000042438394],"about_ca_topic_score_codex":0.022132605,"about_ca_topic_score_gemma":0.03562433,"teacher_disagreement_score":0.022132605,"about_ca_system_score_codex":0.00047448624,"about_ca_system_score_gemma":0.00038764847,"threshold_uncertainty_score":0.04400754},"labels":[],"label_agreement":null},{"id":"W2791549826","doi":"10.1071/aseg2018abw9_3h","title":"VTEM ET: An improved helicopter time-domain EM system for near surface applications","year":2018,"lang":"en","type":"article","venue":"ASEG Extended Abstracts","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Petro Geotech (Canada)","funders":"","keywords":"Transmitter; Time domain; Broadband; Acoustics; Waveform; Bandwidth (computing); Distortion (music); Data acquisition; Electrical engineering; Electronic engineering; Computer science; Engineering; Physics; Telecommunications; Radar; Channel (broadcasting)","score_opus":0.011320948211667603,"score_gpt":0.2729885419246889,"score_spread":0.2616675937130213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791549826","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.257295,0.000365135,0.6860501,0.00047062282,0.0003760913,0.0005489512,0.0058182864,0.023428492,0.025647227],"genre_scores_gemma":[0.6373883,0.00020098251,0.3362343,0.0003412173,0.00009155345,0.00021485894,0.0063394727,0.00053418573,0.01865507],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99975866,0.000035319514,0.000010970773,0.000041298248,0.00013084288,0.000022853936],"domain_scores_gemma":[0.999703,0.000035219604,0.000028930048,0.00006369811,0.00014766071,0.000021404225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037428967,0.00036821366,0.0002241307,0.0004084572,0.00014615314,0.00039641175,0.0006018402,0.00036881547,0.0061505777],"category_scores_gemma":[0.0007584814,0.00013800093,0.00014604419,0.0005242122,0.00011944757,0.00060505443,0.000542785,0.00034592234,0.0013869175],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012831899,0.00012190721,0.00988449,0.00026419418,0.000058474096,0.00040717935,0.0002436976,0.016940894,0.41576532,0.003613597,0.04206558,0.5093514],"study_design_scores_gemma":[0.0006188367,0.002021333,0.049996354,0.00009518939,0.00012203202,0.001858412,0.00023737134,0.41446757,0.26212978,0.001920528,0.26633,0.00020257242],"about_ca_topic_score_codex":0.0017007143,"about_ca_topic_score_gemma":0.0026726034,"teacher_disagreement_score":0.0061505777,"about_ca_system_score_codex":0.00025357478,"about_ca_system_score_gemma":0.00039674668,"threshold_uncertainty_score":0.020575702},"labels":[],"label_agreement":null},{"id":"W2792141591","doi":"10.4095/306485","title":"Characterization of full 3D hydraulic conductivity tensors of hydrostratigraphic units applied to Innisfil Creek watershed, Ontario","year":2018,"lang":"en","type":"report","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Watershed; Hydraulic conductivity; Geology; Hydrology (agriculture); Geomorphology; Archaeology; Geotechnical engineering; Geography; Soil science; Computer science","score_opus":0.04424397631575699,"score_gpt":0.2541733590975367,"score_spread":0.2099293827817797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792141591","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98987484,0.000049900736,0.004236252,0.000044088632,0.000002988427,0.00006385323,0.002838494,0.00018907274,0.0027006275],"genre_scores_gemma":[0.99055535,0.00006724225,0.005771524,0.00000938597,0.0000018155492,0.000032168675,0.0024006735,0.000027222972,0.0011346227],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99968934,0.000009509875,0.000018049583,0.00006851376,0.00017005383,0.000044637076],"domain_scores_gemma":[0.99955124,0.00004757578,0.000060682636,0.00004440585,0.000260587,0.000035512214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024715767,0.0003053344,0.00026101831,0.0010604105,0.0007969353,0.0007065463,0.00056079146,0.00022177324,0.00086573884],"category_scores_gemma":[0.0010793544,0.0002212906,0.00025469493,0.0016783952,0.00041823435,0.0003123876,0.00038979258,0.00015732837,0.00017068599],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031354348,0.00019330159,0.69162637,0.00024512375,0.000091248185,0.0009798561,0.003788466,0.077677265,0.08126012,0.0014377872,0.0035321377,0.13885473],"study_design_scores_gemma":[0.000021971637,0.000033357526,0.8855416,0.000018166967,0.00002170833,0.00008727491,0.00090002123,0.10005918,0.009281882,0.0001943145,0.0038076113,0.000032910248],"about_ca_topic_score_codex":0.8393355,"about_ca_topic_score_gemma":0.93785965,"teacher_disagreement_score":0.1606645,"about_ca_system_score_codex":0.0043257414,"about_ca_system_score_gemma":0.0055861278,"threshold_uncertainty_score":0.32322133},"labels":[],"label_agreement":null},{"id":"W2792380492","doi":"10.1071/aseg2018abt4_1h","title":"Characterizing the Spiritwood Valley Aquifer, North Dakota, using helicopter time-domain EM","year":2018,"lang":"en","type":"article","venue":"ASEG Extended Abstracts","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Petro Geotech (Canada)","funders":"","keywords":"Aquifer; Geology; Groundwater; Bedrock; Borehole; Basement; Drilling; Geomorphology; Oil shale; Quaternary; Paleontology; Geotechnical engineering; Archaeology","score_opus":0.018547131659547043,"score_gpt":0.25739691520505315,"score_spread":0.2388497835455061,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792380492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955052,0.000024573406,0.0010400628,0.000035228964,0.0000018370498,0.0000154854,0.0008801205,0.000038619524,0.0024589046],"genre_scores_gemma":[0.9961016,0.00003890168,0.0022174537,0.000018577199,9.145597e-7,0.000010655584,0.00071935524,0.000007645066,0.00088485493],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999972,0.0000020908628,0.0000015581525,0.000009288723,0.000008266755,0.0000069152725],"domain_scores_gemma":[0.99993086,0.000008364711,0.000009160644,0.00000837064,0.000031837597,0.000011359581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006906273,0.0001295929,0.00005015271,0.0004242496,0.00028869644,0.00026808126,0.0001906364,0.00012297476,0.0005451732],"category_scores_gemma":[0.00022167072,0.00008752269,0.000060407583,0.00045655607,0.00014104828,0.00018702171,0.00022599997,0.00009903036,0.00010666264],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010718598,0.00011683029,0.84656173,0.000082052655,0.000041703624,0.00058100617,0.0015025968,0.028213333,0.052847017,0.0006279635,0.002702055,0.066616535],"study_design_scores_gemma":[0.000008561098,0.00002452481,0.93632954,0.000013677647,0.000012107963,0.0001007238,0.0021165,0.054513738,0.0036127008,0.00012795469,0.0031294387,0.00001058897],"about_ca_topic_score_codex":0.21031016,"about_ca_topic_score_gemma":0.60770744,"teacher_disagreement_score":0.21031016,"about_ca_system_score_codex":0.0006235348,"about_ca_system_score_gemma":0.00061418826,"threshold_uncertainty_score":0.41817206},"labels":[],"label_agreement":null},{"id":"W2792586405","doi":"","title":"On the use of geophysical methods to characterize heterogeneities of quaternary alluvial deposits. Application to stormwater infiltration","year":2007,"lang":"en","type":"preprint","venue":"DSpace (Centre National De La Recherche Scientifique)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Geology; Electrical resistivity tomography; Alluvium; Infiltration (HVAC); Hydraulic conductivity; Geomorphology; Trench; Sedimentary rock; Ground-penetrating radar; Geophysics; Geochemistry; Soil science; Radar; Electrical resistivity and conductivity; Soil water","score_opus":0.22940997746012184,"score_gpt":0.39900110002068706,"score_spread":0.16959112256056522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792586405","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043295946,0.0017213637,0.9514805,0.00016512007,0.000042342814,0.00013150189,0.00015836614,0.0003748465,0.0026300908],"genre_scores_gemma":[0.40302217,0.0035106333,0.58967674,0.00007879909,0.000104330415,0.00024545455,0.0003009995,0.00008585965,0.00297496],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99952734,0.0002167842,0.000025332522,0.00009646916,0.00011743638,0.000016605236],"domain_scores_gemma":[0.99853945,0.00093083276,0.00016119765,0.00023247219,0.00010841584,0.000027696296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091269595,0.00095257786,0.00048226005,0.001662113,0.00029227624,0.0007194884,0.000583924,0.00070649746,0.0014949569],"category_scores_gemma":[0.0031716723,0.00030565244,0.0004959454,0.0014361433,0.0012041184,0.0006394568,0.0007821207,0.0004522654,0.00060982286],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010000631,0.00026851214,0.023430735,0.000590547,0.00024374705,0.0004926703,0.0004230098,0.2963857,0.060561553,0.032378897,0.0011956034,0.583929],"study_design_scores_gemma":[0.000027862245,0.0002430456,0.017006494,0.00007146556,0.000053062475,0.0005289905,0.00019493239,0.90957,0.0172653,0.04655405,0.008424096,0.00006075143],"about_ca_topic_score_codex":0.0011605009,"about_ca_topic_score_gemma":0.0011355917,"teacher_disagreement_score":0.001662113,"about_ca_system_score_codex":0.00025879356,"about_ca_system_score_gemma":0.00040593758,"threshold_uncertainty_score":0.005001068},"labels":[],"label_agreement":null},{"id":"W2792779626","doi":"10.1111/gwmr.12257","title":"Novel Well Completions in Small Diameter Coreholes Created Using Portable Rock Drills","year":2018,"lang":"en","type":"article","venue":"Groundwater Monitoring & Remediation","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Aeronautics and Space Administration; Canada Research Chairs; University of Guelph; U.S. Environmental Protection Agency; Boeing","keywords":"Piezometer; Grout; Drill; Geology; Bedrock; Drilling; Groundwater; Outcrop; Borehole; Mining engineering; Aquifer; Groundwater flow; Geotechnical engineering; Petroleum engineering; Geomorphology; Engineering; Mechanical engineering","score_opus":0.051164052142114155,"score_gpt":0.2692436411776103,"score_spread":0.21807958903549612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792779626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86470646,0.00013855535,0.12983315,0.000082527375,0.00010041373,0.00034487,0.00027859284,0.0015549632,0.0029604472],"genre_scores_gemma":[0.8901124,0.000060741728,0.10698306,0.000023262875,0.000008302864,0.00011431655,0.00014446858,0.000108723616,0.002444649],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994326,0.000037946334,0.000044112312,0.00016670326,0.00019948249,0.000119207456],"domain_scores_gemma":[0.9977124,0.00056072546,0.0006277103,0.00039493977,0.00045507884,0.0002491802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000831483,0.00035578798,0.00021985588,0.00057370274,0.00031923037,0.000537294,0.00065854145,0.0004197095,0.0019008801],"category_scores_gemma":[0.002167829,0.00050346035,0.00023517213,0.00025330027,0.0005991188,0.00081934634,0.00066394283,0.000589263,0.00036584417],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009561998,0.00022734815,0.013426929,0.0002047116,0.000016176478,0.0012154751,0.0011363393,0.0057525556,0.9099788,0.002182225,0.0010509399,0.063852236],"study_design_scores_gemma":[0.00015011212,0.004096568,0.079979084,0.00010276146,0.000041952793,0.0022925325,0.0009976376,0.038836394,0.8511171,0.0009878672,0.021231644,0.00016641762],"about_ca_topic_score_codex":0.0011978557,"about_ca_topic_score_gemma":0.0045627104,"teacher_disagreement_score":0.0019008801,"about_ca_system_score_codex":0.0002772525,"about_ca_system_score_gemma":0.00066097925,"threshold_uncertainty_score":0.0063591003},"labels":[],"label_agreement":null},{"id":"W2793166327","doi":"10.1002/cjce.23184","title":"Determination of the permittivity of <i>n</i>‐hexane/oil sands mixtures over the frequency range of 200 MHz to 10 GHz","year":2018,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"TRTech; University of Alberta","funders":"","keywords":"Oil sands; Asphalt; Permittivity; Hexane; Asphaltene; Materials science; Dielectric; Solvent; Relative permittivity; Analytical Chemistry (journal); Petroleum engineering; Mineralogy; Composite material; Chemistry; Geology; Chromatography; Organic chemistry","score_opus":0.008161263620009858,"score_gpt":0.21729724297628172,"score_spread":0.20913597935627187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793166327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98087114,0.00031595543,0.017146522,0.00004754948,0.000018847222,0.000010908204,0.00014645126,0.0001126402,0.001330028],"genre_scores_gemma":[0.9914431,0.00020466927,0.007731298,0.000014132284,0.0000035874257,0.000011637212,0.00009751918,0.000011466172,0.00048257914],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99988866,0.000022392573,0.000007993932,0.000025988922,0.000040350704,0.000014567526],"domain_scores_gemma":[0.99983585,0.000070209564,0.000043914737,0.000012372742,0.000031216867,0.0000064836413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018822803,0.00037895603,0.00010706434,0.00031887903,0.00012450737,0.00016229942,0.00015290504,0.00021693153,0.00047776982],"category_scores_gemma":[0.0003371525,0.00012828448,0.0001255775,0.0002877306,0.00017576032,0.00030099033,0.00014789218,0.00015163011,0.00014162064],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001271083,0.000020418329,0.0021676836,0.00003822771,0.000008669898,0.00006684348,0.000038759452,0.0014757962,0.9900067,0.00008113277,0.00006506015,0.0059036887],"study_design_scores_gemma":[0.000005511211,0.00011020583,0.009168383,0.000006010791,0.000017861928,0.00008935581,0.00008398686,0.013980029,0.97561306,0.00006562015,0.00084706955,0.000012926686],"about_ca_topic_score_codex":0.0006185589,"about_ca_topic_score_gemma":0.0010293297,"teacher_disagreement_score":0.0006185589,"about_ca_system_score_codex":0.00014061239,"about_ca_system_score_gemma":0.000079494435,"threshold_uncertainty_score":0.0015982985},"labels":[],"label_agreement":null},{"id":"W2793388092","doi":"","title":"Instrumentation and monitoring of a full-scale shaft seal installed at atomic energy of canada limited's underground research laboratory","year":2010,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Instrumentation (computer programming); Seal (emblem); Engineering; Atomic energy; Environmental science; Marine engineering; Forensic engineering; Civil engineering; Aeronautics; Geography; Computer science; Archaeology; Operating system","score_opus":0.0146050399546056,"score_gpt":0.23615391320014095,"score_spread":0.22154887324553535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793388092","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9853638,0.00008634947,0.010813509,0.000059262915,0.000019703288,0.0001491837,0.00086133374,0.0003845219,0.002262349],"genre_scores_gemma":[0.9772949,0.00019926338,0.018269425,0.00003261278,0.0000049625437,0.00009718788,0.00037644702,0.000030262621,0.0036948272],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996654,0.000013441366,0.000009508948,0.000053650117,0.00022334207,0.000034655077],"domain_scores_gemma":[0.99958044,0.00004739548,0.000053560238,0.00003370845,0.00024549194,0.000039488586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030594307,0.00024427284,0.00023852466,0.00043063035,0.00045674545,0.00027350645,0.00041631842,0.00026545292,0.00064207544],"category_scores_gemma":[0.0003827056,0.00017551582,0.00011126155,0.000405231,0.00036776304,0.0001828362,0.00029372884,0.00030679276,0.00028214138],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027527995,0.00021036396,0.05558335,0.00015663185,0.000015249646,0.0006904011,0.0018675003,0.0033356338,0.8567917,0.00041048505,0.0017794237,0.07888406],"study_design_scores_gemma":[0.00005176254,0.0022157214,0.34779838,0.000097845266,0.000055673194,0.000875608,0.0020481367,0.026685368,0.5985208,0.00020343794,0.02136512,0.00008220263],"about_ca_topic_score_codex":0.021557605,"about_ca_topic_score_gemma":0.047207966,"teacher_disagreement_score":0.021557605,"about_ca_system_score_codex":0.0006769116,"about_ca_system_score_gemma":0.0015949446,"threshold_uncertainty_score":0.042864263},"labels":[],"label_agreement":null},{"id":"W2793430882","doi":"10.1071/aseg2018abm2_3e","title":"Realistic Expectations for Deep Ground Penetrating Radar Performance","year":2018,"lang":"en","type":"article","venue":"ASEG Extended Abstracts","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"GRi Simulations (Canada)","funders":"","keywords":"Ground-penetrating radar; Planetary exploration; Radar; Context (archaeology); Geology; Computer science; Geophysics; Remote sensing; Earth science; Telecommunications; Physics; Paleontology; Astrobiology","score_opus":0.02004498807841181,"score_gpt":0.280021772021483,"score_spread":0.25997678394307117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793430882","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26175782,0.026888264,0.10581022,0.11428065,0.003498715,0.00027426326,0.0025357795,0.0010796597,0.48387462],"genre_scores_gemma":[0.92148685,0.014028687,0.022094931,0.017378803,0.00143277,0.0002612464,0.0013491237,0.00045652787,0.021511085],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.989659,0.002363729,0.0007117234,0.0011964678,0.0050858664,0.0009831468],"domain_scores_gemma":[0.9543259,0.020557377,0.0032499349,0.002992075,0.015948368,0.002926321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017106622,0.0007055901,0.0005128598,0.0014032405,0.0011994302,0.008507051,0.002255232,0.0052165166,0.012264382],"category_scores_gemma":[0.054750256,0.00034639277,0.00055281154,0.0013006373,0.0029381714,0.009030221,0.0031015805,0.0038851518,0.007892544],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022445815,0.001036331,0.040063355,0.002463913,0.00021075677,0.0018893332,0.0047116294,0.024907706,0.034069613,0.40461025,0.09614822,0.38764423],"study_design_scores_gemma":[0.00020460805,0.0063302284,0.07618959,0.003913913,0.00017955028,0.005141968,0.016241577,0.024605304,0.03929105,0.31412458,0.51297945,0.00079823675],"about_ca_topic_score_codex":0.00096622115,"about_ca_topic_score_gemma":0.0005561533,"teacher_disagreement_score":0.017106622,"about_ca_system_score_codex":0.0018330589,"about_ca_system_score_gemma":0.0011198967,"threshold_uncertainty_score":0.09046954},"labels":[],"label_agreement":null},{"id":"W2794331398","doi":"","title":"3-D Imaging of Root Architecture Using Multichannel GPR","year":2018,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ground-penetrating radar; Architecture; Computer science; Geology; Remote sensing; Geography; Archaeology; Radar","score_opus":0.01159471983839857,"score_gpt":0.22548269478178085,"score_spread":0.21388797494338227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794331398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9845546,0.000121070145,0.013329535,0.000022027938,0.0000039843662,0.000016540871,0.00041067743,0.00024958292,0.0012919594],"genre_scores_gemma":[0.9761461,0.00013293662,0.022657061,0.000018462928,0.0000049465903,0.000008352217,0.00024573324,0.000021032685,0.000765347],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99993396,0.0000052141704,0.0000018192501,0.000018407609,0.000026096724,0.000014566964],"domain_scores_gemma":[0.9999398,0.000017442824,0.000008596305,0.000008156083,0.000020936339,0.0000050757153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010153907,0.00017573753,0.00013214312,0.0003291047,0.00007668834,0.00023246641,0.00019178081,0.00019026922,0.0007287977],"category_scores_gemma":[0.00017268135,0.00010639609,0.000115535964,0.00022673812,0.0000930678,0.00017779514,0.00016042753,0.000118584714,0.00017154684],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001179496,0.000029261835,0.019545719,0.000068689056,0.000017147013,0.00021356466,0.00020579311,0.002326518,0.92045784,0.00011955274,0.00031040778,0.05658757],"study_design_scores_gemma":[0.00005517524,0.000405757,0.7067084,0.000022042404,0.00009326672,0.0020671377,0.0010751454,0.08289046,0.20080636,0.0003378527,0.0054792142,0.00005918197],"about_ca_topic_score_codex":0.00642147,"about_ca_topic_score_gemma":0.022409823,"teacher_disagreement_score":0.00642147,"about_ca_system_score_codex":0.00015452995,"about_ca_system_score_gemma":0.00015188321,"threshold_uncertainty_score":0.012768209},"labels":[],"label_agreement":null},{"id":"W2794372997","doi":"10.4095/306613","title":"Groundwater Information Network, Groundwater Geoscience Program","year":2018,"lang":"en","type":"report","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Groundwater; Geology; Hydrology (agriculture); Environmental science; Earth science; Water resource management; Geotechnical engineering","score_opus":0.028425739290445447,"score_gpt":0.29375930569371095,"score_spread":0.2653335664032655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794372997","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024495132,0.00032075206,0.0034072078,0.0035919463,0.00045697056,0.0005005012,0.85100025,0.0023877644,0.13588513],"genre_scores_gemma":[0.008164921,0.0010904605,0.013999593,0.00067345146,0.000113505,0.0012276031,0.78602093,0.0009914128,0.18771811],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975405,0.00020520129,0.00010945237,0.00034731516,0.0015949096,0.00020273152],"domain_scores_gemma":[0.994128,0.00060113025,0.00024584658,0.0005799526,0.0040219813,0.00042323058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002632192,0.0011817778,0.00071061624,0.0029890966,0.001499722,0.002006351,0.0020639286,0.0009898824,0.078754604],"category_scores_gemma":[0.008716071,0.0005807569,0.00024589105,0.009703129,0.0003686002,0.0029640715,0.0018588816,0.0017350559,0.047921766],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000104443425,0.00008196303,0.0012597352,0.000075599244,0.000004316782,0.000022776423,0.000026916361,0.0002140044,0.00020383843,0.0035472822,0.97400755,0.020451562],"study_design_scores_gemma":[0.000060211532,0.000027413978,0.0071180775,0.0000585289,0.00000874431,0.00003568511,0.000110053705,0.0010816408,0.0013543939,0.0021986426,0.98792934,0.000017323051],"about_ca_topic_score_codex":0.118339635,"about_ca_topic_score_gemma":0.12842396,"teacher_disagreement_score":0.118339635,"about_ca_system_score_codex":0.0037294857,"about_ca_system_score_gemma":0.018417705,"threshold_uncertainty_score":0.2634604},"labels":[],"label_agreement":null},{"id":"W2794457065","doi":"10.3390/s18041018","title":"Semi-Automated Air-Coupled Impact-Echo Method for Large-Scale Parkade Structure","year":2018,"lang":"en","type":"article","venue":"Sensors","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Installation; Echo (communications protocol); Structural health monitoring; Scale (ratio); Artificial neural network; Computer science; Field (mathematics); Structural engineering; Engineering; Marine engineering; Real-time computing; Artificial intelligence; Mechanical engineering","score_opus":0.00874244804172544,"score_gpt":0.31167288014277766,"score_spread":0.30293043210105225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794457065","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37209573,0.00012560643,0.6241795,0.00004410474,0.000027364347,0.00006756497,0.00015090346,0.00090648263,0.0024028781],"genre_scores_gemma":[0.7411307,0.00008348775,0.25624254,0.0000246023,0.000009997699,0.00005373201,0.0001706408,0.00003736282,0.0022469247],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998472,0.000031632408,0.0000050181166,0.000037887134,0.000067431574,0.000010849247],"domain_scores_gemma":[0.9997974,0.0000584227,0.00002659324,0.000030908388,0.00007476846,0.000011962018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001999309,0.0002748215,0.00015945468,0.0004688259,0.00012061662,0.0002036449,0.00036269275,0.00030094068,0.0011731096],"category_scores_gemma":[0.00039419418,0.0001543987,0.00013102705,0.00030541996,0.00012471376,0.00030868573,0.00026261187,0.00021033805,0.00042550682],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020862464,0.0001723624,0.009186836,0.00011152542,0.000036893773,0.00012285323,0.0002097109,0.027155202,0.58297527,0.00054260495,0.0007129922,0.37856513],"study_design_scores_gemma":[0.00002238067,0.00023231846,0.033364143,0.000011271666,0.000036603218,0.00029278555,0.00016334066,0.83568484,0.12743858,0.0005039775,0.0022063055,0.000043462216],"about_ca_topic_score_codex":0.0009340459,"about_ca_topic_score_gemma":0.0030380646,"teacher_disagreement_score":0.0011731096,"about_ca_system_score_codex":0.00010388452,"about_ca_system_score_gemma":0.00019728865,"threshold_uncertainty_score":0.0039244294},"labels":[],"label_agreement":null},{"id":"W2795205653","doi":"10.1117/12.2295947","title":"Automated air-coupled impact echo based non-destructive testing using machine learning","year":2018,"lang":"en","type":"article","venue":"Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2018","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Automation; Computer science; Echo (communications protocol); Ground-penetrating radar; Artificial neural network; Non-regression testing; Integration testing; Nondestructive testing; Radar; Repeatability; Test strategy; Software performance testing; Reliability engineering; Artificial intelligence; Engineering; Software; Mechanical engineering","score_opus":0.017980140644589276,"score_gpt":0.26881789865489475,"score_spread":0.2508377580103055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795205653","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.101440124,0.000119714496,0.89480853,0.000050657105,0.000019887522,0.00008519532,0.000057545785,0.0016931514,0.0017252424],"genre_scores_gemma":[0.76507556,0.00008606068,0.2322634,0.00006365659,0.00001795275,0.00014040657,0.00015156716,0.000053524273,0.0021478946],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964356,0.00006775663,0.000018245806,0.00008933995,0.00015075419,0.000030300615],"domain_scores_gemma":[0.9991954,0.00036914507,0.00011841736,0.00011531593,0.00017715458,0.00002460431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037218627,0.00049194036,0.00037530065,0.00045557358,0.00017056773,0.00043992026,0.00067059905,0.00041246478,0.0013357506],"category_scores_gemma":[0.0009932129,0.00019225646,0.00022625741,0.00034048484,0.0003069297,0.0006006474,0.00046877758,0.00035669867,0.00046730155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027091085,0.00038758808,0.0045480425,0.00016294872,0.00006283803,0.00012692227,0.000120896824,0.13495032,0.1261159,0.0011756866,0.0009702972,0.7311076],"study_design_scores_gemma":[0.0000077281,0.00012984705,0.0030932263,0.0000060529346,0.00000807813,0.0000640209,0.000016320637,0.9741062,0.021413404,0.00068942545,0.00045378637,0.00001188073],"about_ca_topic_score_codex":0.00096925366,"about_ca_topic_score_gemma":0.0018387929,"teacher_disagreement_score":0.0013357506,"about_ca_system_score_codex":0.00023654841,"about_ca_system_score_gemma":0.00034357028,"threshold_uncertainty_score":0.0044685006},"labels":[],"label_agreement":null},{"id":"W2800124929","doi":"10.1063/1.5031649","title":"Material characterization using ultrasound tomography","year":2018,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Diffraction tomography; Tomography; Diffraction; Materials science; Characterization (materials science); Ultrasound; Speed of sound; Computed tomography; Transducer; Optics; Acoustics; Biomedical engineering; Physics; Radiology; Medicine","score_opus":0.022021448675085317,"score_gpt":0.25321090267789226,"score_spread":0.23118945400280694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800124929","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22286132,0.0018821044,0.7629215,0.00028168055,0.000082277606,0.00037425707,0.0013172015,0.002000126,0.00827955],"genre_scores_gemma":[0.65593505,0.0020704,0.33506003,0.00015154152,0.000035724785,0.00030474397,0.0009971095,0.0003132533,0.0051322123],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996877,0.000042961794,0.000021070191,0.00005417911,0.00017035723,0.000023752133],"domain_scores_gemma":[0.9994368,0.00022698737,0.00008509964,0.00007551932,0.0001569277,0.000018744253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077507255,0.00047392817,0.00041479725,0.0017285831,0.00034346728,0.00097310374,0.00043584278,0.00073930307,0.003916717],"category_scores_gemma":[0.0017650594,0.0003280062,0.0003202366,0.0007364331,0.0005009116,0.0008038576,0.0004701241,0.00049072475,0.0011441502],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012697182,0.00005016297,0.0026549906,0.00030951822,0.000019612316,0.0003214762,0.00022663642,0.024173986,0.9217871,0.0026995963,0.0006920925,0.046938054],"study_design_scores_gemma":[0.00003094794,0.0003838796,0.011954292,0.00009639864,0.00005263985,0.0013270106,0.00035069918,0.22057687,0.7424317,0.0026150157,0.020067392,0.000113138216],"about_ca_topic_score_codex":0.0010940525,"about_ca_topic_score_gemma":0.0010710739,"teacher_disagreement_score":0.003916717,"about_ca_system_score_codex":0.00032389132,"about_ca_system_score_gemma":0.00055743277,"threshold_uncertainty_score":0.01310271},"labels":[],"label_agreement":null},{"id":"W2801035035","doi":"10.1117/12.2304539","title":"Standardized Down-Looking Ground-Penetrating Radar (DLGPR) data collections","year":2018,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ground-penetrating radar; Computer science; Radar; False alarm; Constant false alarm rate; Set (abstract data type); Data set; Range (aeronautics); Test site; Data mining; Remote sensing; Artificial intelligence; Engineering; Geology; Telecommunications; Mining engineering","score_opus":0.03281220723055129,"score_gpt":0.3017071688514352,"score_spread":0.26889496162088394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801035035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8681609,0.0001449865,0.0804875,0.00013108236,0.000052171898,0.003035479,0.03218765,0.0026636077,0.013136694],"genre_scores_gemma":[0.79258883,0.00027988435,0.13628408,0.00021892654,0.000027301963,0.0020932276,0.06358548,0.0006180813,0.0043042395],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9972242,0.00039397628,0.00024300779,0.00037541855,0.0015349354,0.00022843257],"domain_scores_gemma":[0.9923193,0.0006248269,0.0005045981,0.0014995736,0.004783044,0.000268599],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023602804,0.0004777664,0.0006476488,0.0019327722,0.00072516676,0.0007967193,0.0010317247,0.00032265208,0.0017529282],"category_scores_gemma":[0.004377666,0.00031348225,0.00038103486,0.002640717,0.0006221253,0.0006450336,0.0011022011,0.0005490378,0.0012818292],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00081669254,0.0015787594,0.36781824,0.0008661352,0.000291156,0.0011360891,0.0031640753,0.028350811,0.19951564,0.0020097475,0.023195602,0.37125704],"study_design_scores_gemma":[0.00013239415,0.0010962341,0.84231144,0.000062793886,0.00010496178,0.00065569906,0.0012960964,0.024092887,0.08413905,0.0007381699,0.045206994,0.0001632083],"about_ca_topic_score_codex":0.035520997,"about_ca_topic_score_gemma":0.062590525,"teacher_disagreement_score":0.035520997,"about_ca_system_score_codex":0.0009376916,"about_ca_system_score_gemma":0.0014876839,"threshold_uncertainty_score":0.070628464},"labels":[],"label_agreement":null},{"id":"W2802946433","doi":"","title":"3D geophysical electromagnetic forward modeling of complex graphitic fault zones","year":2017,"lang":"en","type":"dissertation","venue":"Memorial University Research Repository (Memorial University)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Electrical conductor; Basin and range topography; Fault (geology); Geophysics; Polygon mesh; Haystack; Time domain; Domain (mathematical analysis); Seismology; Computer science; Remote sensing; Engineering; Tectonics; Electrical engineering; Artificial intelligence","score_opus":0.032045836593453544,"score_gpt":0.2808885025822691,"score_spread":0.24884266598881555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802946433","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5439929,0.00034634094,0.40805084,0.0009298883,0.00010026114,0.0001527628,0.0014899448,0.0011671274,0.04376998],"genre_scores_gemma":[0.9542845,0.00026539643,0.037744015,0.00008579664,0.000019661618,0.000077393874,0.00050075504,0.000108213186,0.0069142664],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992394,0.000020646836,0.0000032828002,0.000010923263,0.000028328332,0.000012741976],"domain_scores_gemma":[0.99979097,0.00010486324,0.00002758504,0.000016383108,0.000045375375,0.000014834863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014927112,0.00053564366,0.0003176272,0.00048836984,0.00037961954,0.0009592555,0.0006194583,0.00116116,0.0016033333],"category_scores_gemma":[0.0006551866,0.00026398478,0.00045062197,0.00045581098,0.00055217696,0.00033560282,0.00050366117,0.00041452452,0.0002820271],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000855685,0.000009278067,0.0005120034,0.0000097247685,0.0000034778425,0.00006131852,0.000025385118,0.99582124,0.001101736,0.0008449876,0.00012254836,0.0014797184],"study_design_scores_gemma":[0.0000030483827,0.0000040175846,0.00019936741,0.0000022409558,0.0000013898762,0.000017635766,0.000015565616,0.9987685,0.00029877602,0.00027622675,0.00040980653,0.0000033582041],"about_ca_topic_score_codex":0.029069228,"about_ca_topic_score_gemma":0.024699373,"teacher_disagreement_score":0.029069228,"about_ca_system_score_codex":0.0006561495,"about_ca_system_score_gemma":0.0009209399,"threshold_uncertainty_score":0.057800055},"labels":[],"label_agreement":null},{"id":"W2804050855","doi":"10.1061/9780784481295.036","title":"GPR-Based Deterioration Mapping in Subway Networks","year":2018,"lang":"en","type":"article","venue":"Construction Research Congress 2018","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"","keywords":"Ground-penetrating radar; Spall; Visual inspection; Intrusion; Computer science; Geotechnical engineering; Geology; Forensic engineering; Environmental science; Radar; Engineering; Structural engineering; Artificial intelligence","score_opus":0.06999427170611558,"score_gpt":0.35236201635232106,"score_spread":0.2823677446462055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804050855","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8878572,0.00017185789,0.10786846,0.000075401986,0.0000143306515,0.00006124393,0.00038495535,0.0012573166,0.002309229],"genre_scores_gemma":[0.98538554,0.00008365696,0.013669532,0.000009652297,0.0000029277417,0.0000125901215,0.00019218498,0.000010646131,0.0006333156],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99977225,0.00005203555,0.000007267661,0.00005378429,0.00005619515,0.000058403566],"domain_scores_gemma":[0.99981946,0.000033588905,0.000031355332,0.000028177808,0.00006616916,0.000021298914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003014429,0.00056760776,0.0004030948,0.0010397537,0.00012182395,0.00057857734,0.00047480292,0.0005129363,0.0005110226],"category_scores_gemma":[0.0007136977,0.00019022694,0.00032504142,0.00069598487,0.00020096144,0.0006757108,0.0006117809,0.0002266601,0.0003121548],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007409765,0.00018820167,0.06170766,0.00013415527,0.0000763071,0.000860534,0.00040563475,0.6068378,0.06839477,0.000873171,0.0013393725,0.25844148],"study_design_scores_gemma":[0.000007418267,0.00007728996,0.027153816,0.000006015156,0.000015783058,0.00008874014,0.00011660234,0.96741086,0.0045003174,0.00025652477,0.00035288342,0.000013787698],"about_ca_topic_score_codex":0.013319331,"about_ca_topic_score_gemma":0.009003301,"teacher_disagreement_score":0.013319331,"about_ca_system_score_codex":0.00064249773,"about_ca_system_score_gemma":0.00033289738,"threshold_uncertainty_score":0.026483655},"labels":[],"label_agreement":null},{"id":"W2804383651","doi":"10.1109/tgrs.2018.2827395","title":"Metal-Cased Oil Well Inspection Using Near-Field UWB Radar Imaging","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Geoscience and Remote Sensing","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Alberta Innovates - Technology Futures","keywords":"Remote sensing; Radar imaging; Radar; Geology; Ground-penetrating radar; Computer science; Telecommunications","score_opus":0.014708425582235871,"score_gpt":0.2566467274574807,"score_spread":0.24193830187524482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804383651","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1898037,0.0009873522,0.8071083,0.00011254756,0.000048963666,0.00004003168,0.000021284097,0.00042897722,0.0014489522],"genre_scores_gemma":[0.8212726,0.0005028764,0.17758732,0.000048162663,0.000022056825,0.000016961772,0.000026186435,0.000011448585,0.00051241444],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996068,0.00009232902,0.000019779878,0.0000901682,0.0001586899,0.000032241136],"domain_scores_gemma":[0.9996816,0.00009369435,0.00009319762,0.000050273036,0.000064339205,0.000016948574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003225146,0.00045177247,0.00046406925,0.00046571466,0.00012144434,0.0003915088,0.0005643917,0.00083047745,0.00023723954],"category_scores_gemma":[0.00075695413,0.00027886988,0.00039443778,0.00023613223,0.00041791133,0.000998968,0.00049747684,0.00025122103,0.00015113602],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003505441,0.000083058025,0.005401935,0.00037616972,0.00007057027,0.0010932707,0.00022197251,0.044068586,0.8084352,0.0026459035,0.00025522773,0.13699764],"study_design_scores_gemma":[0.000030449817,0.00083402195,0.0059011183,0.000056370704,0.0001220261,0.0050347685,0.0002499273,0.5694975,0.41342217,0.0017678941,0.002981049,0.000102675374],"about_ca_topic_score_codex":0.000171237,"about_ca_topic_score_gemma":0.00021915665,"teacher_disagreement_score":0.00083047745,"about_ca_system_score_codex":0.0001782934,"about_ca_system_score_gemma":0.00016761023,"threshold_uncertainty_score":0.0017056465},"labels":[],"label_agreement":null},{"id":"W2807632468","doi":"","title":"Adjustments for trace measurements in Canada","year":2005,"lang":"en","type":"article","venue":"15th Conference on Applied Climatology/13th Symposium on Meteorological Observations and Instrumentation","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRACE (psycholinguistics); Computer science; Environmental science","score_opus":0.07927948505887085,"score_gpt":0.27728766786908265,"score_spread":0.19800818281021182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807632468","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61216944,0.0032427502,0.050957188,0.0063904584,0.0017381815,0.000559444,0.1782562,0.008942026,0.13774443],"genre_scores_gemma":[0.84893364,0.0012380361,0.031501282,0.00059096917,0.00007016179,0.00015272075,0.038424216,0.0016798588,0.07740914],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99779737,0.00012553838,0.000114454095,0.00038328418,0.0011920155,0.00038747466],"domain_scores_gemma":[0.9938955,0.00021220192,0.00018935053,0.0002666593,0.005234866,0.00020145554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001422128,0.00069510494,0.00045216217,0.00249664,0.0026388653,0.0020356916,0.001616022,0.0004447541,0.007407921],"category_scores_gemma":[0.0064324955,0.00041161673,0.0005039025,0.0073581454,0.00036957095,0.0007603397,0.0008160589,0.0009730505,0.0017255988],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092828885,0.00018866817,0.3322581,0.00037054598,0.00028568957,0.00038569435,0.0018739239,0.02865728,0.01166414,0.014559952,0.20640913,0.40241864],"study_design_scores_gemma":[0.000097480464,0.00004041133,0.6687537,0.0001444498,0.00014607588,0.000107893415,0.001904719,0.034101747,0.011285434,0.001952526,0.2813477,0.00011789942],"about_ca_topic_score_codex":0.9946845,"about_ca_topic_score_gemma":0.9957208,"teacher_disagreement_score":0.030339567,"about_ca_system_score_codex":0.030339567,"about_ca_system_score_gemma":0.05880067,"threshold_uncertainty_score":0.22013003},"labels":[],"label_agreement":null},{"id":"W2883774581","doi":"10.1117/1.jrs.12.036002","title":"Adaptive landmine detection and localization system based on incremental one-class classification","year":2018,"lang":"en","type":"article","venue":"Journal of Applied Remote Sensing","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Artificial intelligence; Class (philosophy); Computer vision; Contextual image classification; Remote sensing; Pattern recognition (psychology); One-class classification; Support vector machine; Image (mathematics); Geology","score_opus":0.020893995068600447,"score_gpt":0.2346403132909254,"score_spread":0.21374631822232495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883774581","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12862827,0.0003005181,0.86372846,0.0002125202,0.00012927057,0.0001100028,0.0001230787,0.0042566108,0.0025112266],"genre_scores_gemma":[0.8268063,0.00013152057,0.17006512,0.000194059,0.00005199554,0.00012667547,0.00029620714,0.00006191087,0.0022661122],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996928,0.000025620126,0.0000138800515,0.00010583618,0.00010885402,0.000053176835],"domain_scores_gemma":[0.999566,0.00008012381,0.000055024244,0.00006684898,0.00019202015,0.00003993166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029094119,0.0005514443,0.0007599722,0.0005621867,0.00038061495,0.0005317138,0.0014220868,0.00054058374,0.0010310821],"category_scores_gemma":[0.000854243,0.00025602497,0.00045484956,0.00047089602,0.00026528037,0.0008196595,0.0007968712,0.00062846526,0.00041436235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048140076,0.00027590714,0.006523688,0.0001296387,0.00007739715,0.00031435743,0.00019094675,0.10554493,0.08812242,0.001538031,0.00413382,0.79266745],"study_design_scores_gemma":[0.000019226625,0.00009175248,0.0017969387,0.0000048193524,0.000021533639,0.00012211254,0.000027020984,0.98359114,0.012601862,0.000736697,0.0009683556,0.000018525452],"about_ca_topic_score_codex":0.0033451968,"about_ca_topic_score_gemma":0.0032430566,"teacher_disagreement_score":0.0033451968,"about_ca_system_score_codex":0.00034343684,"about_ca_system_score_gemma":0.0006318938,"threshold_uncertainty_score":0.006651461},"labels":[],"label_agreement":null},{"id":"W2887069789","doi":"10.5539/jgg.v10n3p12","title":"Karst within the Confining unit of the Floridan Aquifer: A Geophysical Investigation","year":2018,"lang":"en","type":"article","venue":"Journal of Geography and Geology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Karst; Aquifer; Geology; Carbonate; Electrical resistivity tomography; Ground-penetrating radar; Geophysical survey; Geomorphology; Carbonate rock; Groundwater; Siliciclastic; Geochemistry; Hydrology (agriculture); Sedimentary depositional environment; Sedimentary rock; Geophysics; Geotechnical engineering; Radar; Electrical resistivity and conductivity; Paleontology; Structural basin","score_opus":0.012062738545922477,"score_gpt":0.23171822475808385,"score_spread":0.21965548621216135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887069789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996811,0.000010150784,0.000046143534,0.0000067960987,1.09761054e-7,0.0000026755881,0.000022489612,0.0000014985077,0.00022910022],"genre_scores_gemma":[0.9996612,0.00002495918,0.00016515264,0.000003956957,3.4996015e-7,0.0000019058523,0.000033004766,3.9072873e-7,0.0001090794],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999491,0.00000427334,0.0000022712513,0.000013490417,0.000013706284,0.000017186516],"domain_scores_gemma":[0.99986815,0.000019997891,0.000050898765,0.000006916348,0.000029743851,0.000024179964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000067096276,0.00010837605,0.00008085321,0.0007718123,0.00042077995,0.0003221587,0.00018162718,0.00017400926,0.00034362677],"category_scores_gemma":[0.00020087695,0.000120120894,0.000061896426,0.0006670719,0.00046193137,0.00022867712,0.00037204687,0.00009875414,0.000034820707],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020454888,0.00008897107,0.8995644,0.000070495706,0.000026203337,0.0014246516,0.003968893,0.0016199038,0.055644237,0.0003673156,0.00028110217,0.03673927],"study_design_scores_gemma":[0.0000022741526,0.000060863287,0.99551564,0.0000052379264,0.0000068438685,0.00030159944,0.001232976,0.0014583728,0.0009248629,0.000037698755,0.00044775664,0.0000058375254],"about_ca_topic_score_codex":0.0724331,"about_ca_topic_score_gemma":0.18524615,"teacher_disagreement_score":0.0724331,"about_ca_system_score_codex":0.00067378936,"about_ca_system_score_gemma":0.00051965046,"threshold_uncertainty_score":0.144023},"labels":[],"label_agreement":null},{"id":"W2890309887","doi":"10.3390/geosciences8090334","title":"Mapping a Subsurface Water Channel with X-Band and C-Band Synthetic Aperture Radar at the Iron Age Archaeological Site of ‘Uqdat al-Bakrah (Safah), Oman","year":2018,"lang":"en","type":"article","venue":"Geosciences","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; Queen's University","funders":"Utah Agricultural Experiment Station","keywords":"Ground-penetrating radar; Geology; Excavation; Synthetic aperture radar; Remote sensing; Context (archaeology); X band; Archaeology; Radar; Silt; Geomorphology; Geography; Geotechnical engineering; Paleontology; Materials science","score_opus":0.011680088656747549,"score_gpt":0.21838520986771426,"score_spread":0.2067051212109667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890309887","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99908555,0.000047231766,0.00024142304,0.000024353323,0.000004284199,0.000004485492,0.000049890255,0.000006184285,0.00053653604],"genre_scores_gemma":[0.99780434,0.000052753563,0.0014775919,0.000015485737,0.0000056160347,0.000005421359,0.00009465164,0.0000021139413,0.00054204295],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998869,0.000014941486,0.000004584715,0.000025123234,0.0000290214,0.00003957724],"domain_scores_gemma":[0.99994135,0.000009103122,0.000015565447,0.0000063502052,0.000018667246,0.000008817564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017538216,0.00016521709,0.00013458225,0.0006975261,0.00047017855,0.00039656064,0.00026900144,0.0004758983,0.00050473947],"category_scores_gemma":[0.00013228823,0.00014110007,0.00011389528,0.0006509378,0.00040940684,0.00023141972,0.0003613392,0.00014166953,0.00017073013],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008805751,0.0003524409,0.5698827,0.00027797828,0.00011685595,0.007060706,0.0076381476,0.0040483205,0.28170592,0.0010591357,0.0013888672,0.12558834],"study_design_scores_gemma":[0.000032740252,0.00017960987,0.9688091,0.000039705617,0.000042059768,0.0013436055,0.0065580187,0.007392717,0.011484605,0.0001424368,0.003950279,0.00002513051],"about_ca_topic_score_codex":0.007147917,"about_ca_topic_score_gemma":0.02199701,"teacher_disagreement_score":0.007147917,"about_ca_system_score_codex":0.00023214104,"about_ca_system_score_gemma":0.0003176923,"threshold_uncertainty_score":0.014212608},"labels":[],"label_agreement":null},{"id":"W2890895565","doi":"10.1016/j.enggeo.2018.09.011","title":"Integrated GPR and ERT data interpretation for bedrock identification at Cléricy, Québec, Canada","year":2018,"lang":"en","type":"article","venue":"Engineering Geology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; SNC-Lavalin (Canada); Polytechnique Montréal; Université du Québec en Abitibi-Témiscamingue","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ground-penetrating radar; Bedrock; Geology; Electrical resistivity tomography; Borehole; Lithology; Excavation; Geotechnical investigation; Geophysical survey; Geotechnical engineering; Geophysics; Radar; Geomorphology; Seismology; Mining engineering; Remote sensing; Petrology; Electrical resistivity and conductivity; Engineering","score_opus":0.012386892055118457,"score_gpt":0.23844360189343813,"score_spread":0.22605670983831969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890895565","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8355897,0.0011935841,0.033742808,0.0027939195,0.00023133298,0.0006563864,0.035249144,0.0043064347,0.08623667],"genre_scores_gemma":[0.8800206,0.00039230048,0.028688295,0.00041953806,0.000033040225,0.00011111734,0.008422409,0.0004363492,0.081476316],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99955255,0.00002940069,0.000010631918,0.00007121372,0.00019532806,0.00014095841],"domain_scores_gemma":[0.9988072,0.00004340389,0.00002441145,0.000025099216,0.0010109541,0.0000889517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048162375,0.00042027503,0.0002839007,0.0012203208,0.00196543,0.0012055322,0.0009398561,0.00053183956,0.007688543],"category_scores_gemma":[0.0008184228,0.00023834643,0.00020749614,0.0014569258,0.0003462584,0.00053209637,0.00044502623,0.00053265406,0.0021027124],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001111131,0.00049880665,0.27006182,0.00042479043,0.00015319388,0.0018586528,0.0025787693,0.031832736,0.08637376,0.0030459135,0.14301577,0.45904467],"study_design_scores_gemma":[0.00014241275,0.00009742569,0.8059655,0.00014811932,0.000078326004,0.00027771632,0.0035879556,0.091631494,0.013030909,0.0003842421,0.084520265,0.00013574793],"about_ca_topic_score_codex":0.9871846,"about_ca_topic_score_gemma":0.99521095,"teacher_disagreement_score":0.012815416,"about_ca_system_score_codex":0.0103438385,"about_ca_system_score_gemma":0.022977155,"threshold_uncertainty_score":0.075050116},"labels":[],"label_agreement":null},{"id":"W2891678200","doi":"10.1190/segam2018-2998528.1","title":"3D finite-volume time-domain electromagnetic modeling of graphitic faults using unstructured grids","year":2018,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"iNano Medical (Canada); Memorial University of Newfoundland","funders":"","keywords":"Finite volume method; Computer science; Volume (thermodynamics); Computational electromagnetics; Electromagnetic field; Mechanics; Physics","score_opus":0.010055645372064093,"score_gpt":0.23269941918823195,"score_spread":0.22264377381616784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891678200","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18155766,0.00021409782,0.79250294,0.00040382787,0.000077208446,0.000112358626,0.0008234806,0.0012949776,0.023013433],"genre_scores_gemma":[0.89104676,0.0002501291,0.1002352,0.000075413,0.000024189843,0.000119987155,0.00061857764,0.00012728038,0.0075023556],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999254,0.000022683542,0.0000038308713,0.000010738312,0.000029147559,0.000008193402],"domain_scores_gemma":[0.99980503,0.00009851091,0.000023059547,0.00001986347,0.000039141087,0.0000145199],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001217075,0.00039541136,0.00029398742,0.00028808851,0.0002693764,0.00075457967,0.0006459237,0.000725908,0.0018173852],"category_scores_gemma":[0.00054755417,0.00019196722,0.00035819257,0.00033893922,0.0003609579,0.00035490314,0.0003985646,0.00029335747,0.00030607698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008709383,0.000009284555,0.00040825235,0.000012686902,0.000003937181,0.00006020677,0.000024313998,0.99438924,0.0012727845,0.0011683878,0.00024737517,0.0023947402],"study_design_scores_gemma":[0.0000025491702,0.000003878378,0.00012129981,0.000002195398,8.9298277e-7,0.000013118757,0.000009406129,0.99872965,0.00026233966,0.00043117613,0.00042089543,0.000002656437],"about_ca_topic_score_codex":0.008113714,"about_ca_topic_score_gemma":0.0069309506,"teacher_disagreement_score":0.008113714,"about_ca_system_score_codex":0.00030593053,"about_ca_system_score_gemma":0.00059393287,"threshold_uncertainty_score":0.01613295},"labels":[],"label_agreement":null},{"id":"W2891947499","doi":"10.1190/segam2018-2998497.1","title":"Results from a galvanic HeliSAM survey over the Patterson Lake South uranium deposit","year":2018,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mira Geoscience (Canada)","funders":"","keywords":"Uranium; Galvanic cell; Inversion (geology); Geology; Electrical resistivity and conductivity; Magnetometer; Dipole; Electrical engineering; Geophysics; Materials science; Geomorphology; Engineering; Physics; Magnetic field; Metallurgy","score_opus":0.02428392127058043,"score_gpt":0.24829350618826312,"score_spread":0.2240095849176827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891947499","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906906,0.00014150767,0.00067671546,0.00013804442,0.000007287257,0.000028967846,0.0014604228,0.0001010652,0.0067553613],"genre_scores_gemma":[0.9924954,0.00016248436,0.0016061066,0.00005841638,0.000011597808,0.000022585897,0.0013241961,0.000026337108,0.0042927573],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976,0.00002943639,0.000010765828,0.000040752093,0.00013093531,0.000028172102],"domain_scores_gemma":[0.9997751,0.000030886455,0.000027636555,0.000019397348,0.000121838806,0.000025121048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021807587,0.000251913,0.00029561843,0.0010674786,0.000541836,0.00033807015,0.00030692003,0.00042748716,0.0018627252],"category_scores_gemma":[0.00052844966,0.00017132485,0.00017681274,0.0010463778,0.00025443133,0.00021263865,0.0006734443,0.00025427493,0.0008313836],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058802974,0.00013940595,0.7849795,0.00041294732,0.0001107877,0.0035684574,0.005835016,0.0055739232,0.06504026,0.00053280947,0.009234656,0.12398432],"study_design_scores_gemma":[0.000014316764,0.0001199405,0.98341745,0.00003155342,0.000028991462,0.0006069933,0.0014709866,0.0018626545,0.003804692,0.00012928428,0.008495004,0.000018044298],"about_ca_topic_score_codex":0.022767095,"about_ca_topic_score_gemma":0.055338427,"teacher_disagreement_score":0.97723293,"about_ca_system_score_codex":0.0004343828,"about_ca_system_score_gemma":0.00030604197,"threshold_uncertainty_score":0.04526913},"labels":[],"label_agreement":null},{"id":"W2892429030","doi":"10.1109/ssiai.2018.8470374","title":"Viola-Jones Algorithm for Automatic Detection of Hyperbolic Regions in GPR Profiles of Bridge Decks","year":2018,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Ground-penetrating radar; Hyperbola; Rebar; Bridge (graph theory); Algorithm; Detector; Computer science; Oscilloscope; Sampling (signal processing); Geology; Radar; Engineering; Structural engineering; Mathematics; Geometry; Telecommunications","score_opus":0.021026293385040536,"score_gpt":0.2801212969634307,"score_spread":0.25909500357839016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892429030","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047814272,0.00016054648,0.9483498,0.00007611357,0.000037530117,0.00010991851,0.00010186101,0.0017110306,0.0016389199],"genre_scores_gemma":[0.21997884,0.00017167455,0.77439886,0.0000842716,0.00002430107,0.00014694328,0.00064903114,0.00031576425,0.004230248],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918,0.00011034458,0.000058837308,0.00022691497,0.0002894003,0.00013441869],"domain_scores_gemma":[0.99913776,0.00020473383,0.000088709334,0.00011035602,0.00039765696,0.000060733884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010806065,0.00060190243,0.00077521004,0.001572332,0.00061112357,0.0010693795,0.0013584017,0.0008758106,0.0023040343],"category_scores_gemma":[0.0024519584,0.00036877644,0.00058784796,0.0013050559,0.00038438183,0.0007493665,0.000931608,0.0011250842,0.0017069629],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038535826,0.00025762216,0.004023203,0.00008489484,0.00006647699,0.00017693739,0.00013844244,0.037846014,0.08556408,0.0026756718,0.0040582083,0.8647231],"study_design_scores_gemma":[0.00001966822,0.00006568722,0.004805478,0.000009560893,0.000012793975,0.00016271982,0.000051570634,0.9638617,0.026907679,0.001023604,0.0030541758,0.000025411604],"about_ca_topic_score_codex":0.0039670886,"about_ca_topic_score_gemma":0.004547249,"teacher_disagreement_score":0.0039670886,"about_ca_system_score_codex":0.00033770018,"about_ca_system_score_gemma":0.0012319613,"threshold_uncertainty_score":0.0078879595},"labels":[],"label_agreement":null},{"id":"W2894029453","doi":"10.1167/18.10.206","title":"Title: Convolutional Network Approach to Modelling Allocentric Landmark Impact on Target Localization","year":2018,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Landmark; Artificial intelligence; Affine transformation; Computer vision; Computer science; Pattern recognition (psychology); Transformation (genetics); Transformation matrix; Mathematics; Geometry; Physics","score_opus":0.015520772607622958,"score_gpt":0.28548063667098883,"score_spread":0.26995986406336586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2894029453","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21522999,0.0015758005,0.7624615,0.0024086307,0.00033939807,0.00010687367,0.0016576654,0.0020511732,0.014168956],"genre_scores_gemma":[0.9334592,0.0004668916,0.053779732,0.00018388253,0.00007451545,0.000117670905,0.0007903758,0.0001008746,0.011026778],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998795,0.000024406427,0.000005239822,0.000044768145,0.000021543196,0.000024559853],"domain_scores_gemma":[0.9997073,0.0001286127,0.000033453307,0.000024104846,0.00008498397,0.000021530388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042843484,0.00088409276,0.0003668967,0.00040241002,0.00023560012,0.00070119277,0.0011569638,0.0011275042,0.0035315626],"category_scores_gemma":[0.0016192594,0.00038843826,0.0005352989,0.0004408195,0.00042356423,0.000828061,0.000575791,0.0014010466,0.0005574086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000078024335,0.000027900996,0.0012153606,0.000039329938,0.000045487282,0.00005640436,0.000020391693,0.97525984,0.0021417995,0.006085917,0.001433016,0.01359648],"study_design_scores_gemma":[0.0000021961744,0.000005596667,0.00010892379,0.00000289806,0.0000043723403,0.0000045995153,0.0000010334633,0.99793434,0.00033527846,0.0014228733,0.0001763811,0.0000015508633],"about_ca_topic_score_codex":0.025042517,"about_ca_topic_score_gemma":0.019730302,"teacher_disagreement_score":0.025042517,"about_ca_system_score_codex":0.0015720932,"about_ca_system_score_gemma":0.0009879905,"threshold_uncertainty_score":0.04979348},"labels":[],"label_agreement":null},{"id":"W2894031113","doi":"10.4095/308434","title":"Electromagnetic survey of the Creighton area, Saskatchewan, part of NTS 63-L/11","year":2018,"lang":"en","type":"report","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geography; Geology","score_opus":0.047327971401443014,"score_gpt":0.2799673934442785,"score_spread":0.2326394220428355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2894031113","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93300927,0.00029772698,0.0026222556,0.00041910482,0.000038204602,0.00023372109,0.023066128,0.0001565854,0.040157124],"genre_scores_gemma":[0.9334066,0.0007500593,0.0046599293,0.00026851523,0.00002017705,0.0001944466,0.011855213,0.00004558057,0.04879953],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997584,0.000022530188,0.000010135123,0.00006086296,0.00008785128,0.000060212486],"domain_scores_gemma":[0.99952114,0.000041184416,0.000044818302,0.000041590167,0.00027464697,0.00007667599],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000249228,0.00037733436,0.00023676547,0.0015309055,0.0012703255,0.0005428205,0.0008026643,0.00037937876,0.0024224631],"category_scores_gemma":[0.00045650758,0.00024188159,0.00020738659,0.0020856338,0.00033257765,0.00025415275,0.000725706,0.00033174607,0.0008404007],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006822177,0.0005274347,0.753969,0.00042918103,0.00044122036,0.0027498368,0.0034620934,0.017006656,0.06340366,0.002742139,0.03816441,0.116422124],"study_design_scores_gemma":[0.00004876843,0.000066661974,0.96904784,0.000070861555,0.000037129663,0.00023485231,0.0022054645,0.0044362405,0.0035923372,0.00029159963,0.01993282,0.000035477486],"about_ca_topic_score_codex":0.9164203,"about_ca_topic_score_gemma":0.97112954,"teacher_disagreement_score":0.08357972,"about_ca_system_score_codex":0.0043684817,"about_ca_system_score_gemma":0.015780095,"threshold_uncertainty_score":0.16814381},"labels":[],"label_agreement":null},{"id":"W2894503726","doi":"10.1021/acs.est.8b03659","title":"Effect of Transient Wave Forcing on the Behavior of Arsenic in a Nearshore Aquifer","year":2018,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aquifer; Arsenic; Forcing (mathematics); Transient (computer programming); Environmental science; Hydrology (agriculture); Groundwater; Geology; Climatology; Geotechnical engineering; Chemistry","score_opus":0.00697087301723485,"score_gpt":0.23683551446526344,"score_spread":0.2298646414480286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2894503726","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99969566,0.0000036989702,0.00013313539,0.000006482769,5.786179e-7,0.0000013014211,0.000023318536,0.0000072872026,0.00012848224],"genre_scores_gemma":[0.99982834,0.0000092417185,0.00005772275,0.0000023418415,2.3684127e-7,0.000001234598,0.000026350115,0.000001129776,0.00007344145],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999597,0.0000044467038,0.000002405474,0.000008562399,0.000008249823,0.000016626684],"domain_scores_gemma":[0.99992514,0.000029195067,0.000012759004,0.0000057876596,0.000012398487,0.0000147226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006979066,0.0001288538,0.00015062139,0.00014496311,0.0002840339,0.00022079218,0.00014306983,0.00017410351,0.0005724162],"category_scores_gemma":[0.00022627207,0.000095972006,0.00014635324,0.00016038303,0.00024074408,0.0001496017,0.0002672534,0.00016444053,0.000047357367],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011263123,0.0002249337,0.31181473,0.0000710546,0.00008205717,0.001171046,0.0004786987,0.060491867,0.6029355,0.000372188,0.00032440346,0.020907303],"study_design_scores_gemma":[0.000109231456,0.0010210619,0.70833385,0.000007922085,0.0000892788,0.00019425963,0.0015233051,0.20626782,0.081383705,0.0002836498,0.00074246083,0.000043419324],"about_ca_topic_score_codex":0.03111542,"about_ca_topic_score_gemma":0.028293878,"teacher_disagreement_score":0.03111542,"about_ca_system_score_codex":0.0006353323,"about_ca_system_score_gemma":0.00039492693,"threshold_uncertainty_score":0.061868608},"labels":[],"label_agreement":null},{"id":"W2895482789","doi":"10.1139/cgj-2018-0474","title":"Sample size determination in geotechnical site investigation considering spatial variation and correlation","year":2018,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"City University of Hong Kong","keywords":"Sample size determination; Geotechnical engineering; Spatial variability; Parametric statistics; Statistics; Sample (material); Sampling (signal processing); Spatial analysis; Chart; Cone penetration test; Engineering; Mathematics","score_opus":0.013373337972091202,"score_gpt":0.23118292149239528,"score_spread":0.21780958352030408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2895482789","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012772668,0.00032990452,0.9854473,0.00017635745,0.000039492177,0.00021459007,0.00007038322,0.00021777343,0.000731579],"genre_scores_gemma":[0.36851797,0.0005711977,0.6282652,0.000245173,0.00012570772,0.001252821,0.0002904068,0.00015134207,0.0005800594],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9758487,0.014149754,0.0017448777,0.002494597,0.005435711,0.00032641646],"domain_scores_gemma":[0.8518244,0.122085586,0.0065209907,0.0085719945,0.010475879,0.0005212088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.031811327,0.0006581769,0.0012441409,0.0022126734,0.0008250728,0.0010528248,0.0015871434,0.0013236041,0.0009021771],"category_scores_gemma":[0.13185093,0.00038772644,0.0006264795,0.0014908718,0.0022422587,0.0016785796,0.0015104674,0.0012157531,0.00025508253],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009252638,0.0002463031,0.04854743,0.0013246854,0.00026935444,0.00090053224,0.0018429131,0.18237178,0.029238282,0.09487717,0.006473211,0.6329831],"study_design_scores_gemma":[0.00014967589,0.0016646301,0.031064127,0.0005894047,0.0002249189,0.0014452878,0.00085840235,0.7893658,0.0490716,0.10592443,0.01937824,0.0002634312],"about_ca_topic_score_codex":0.0016345902,"about_ca_topic_score_gemma":0.0018559077,"teacher_disagreement_score":0.031811327,"about_ca_system_score_codex":0.00074959965,"about_ca_system_score_gemma":0.0014983809,"threshold_uncertainty_score":0.16823637},"labels":[],"label_agreement":null},{"id":"W2899562918","doi":"10.1115/ipc2018-78244","title":"Acoustic Characteristics of Liquid Hydrocarbon Releases From Buried Pipelines: An Experimental Evaluation","year":2018,"lang":"en","type":"article","venue":"Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Geophone; Attenuation; Ranging; Acoustics; Pipeline transport; SIGNAL (programming language); Pipeline (software); Acoustic attenuation; Energy (signal processing); Leak; Environmental science; Engineering; Computer science; Physics; Mechanical engineering; Telecommunications","score_opus":0.02132986695027532,"score_gpt":0.2838049044086599,"score_spread":0.2624750374583846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899562918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99717003,0.000044988334,0.0024061988,0.000009733809,0.0000066566067,0.00003065367,0.00007096651,0.000034625056,0.00022623918],"genre_scores_gemma":[0.9963003,0.00014889262,0.0023511483,0.000020223235,0.000010171383,0.00005041401,0.00011647151,0.000017722585,0.000984621],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99964786,0.000043176293,0.000019128911,0.00006993923,0.00016322326,0.0000566019],"domain_scores_gemma":[0.9991373,0.00031198404,0.00015977437,0.00005716479,0.0002519844,0.00008183904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040435523,0.00047251358,0.00026463493,0.0002886015,0.00018770147,0.00023487187,0.00034949873,0.00042666355,0.0014297686],"category_scores_gemma":[0.0008738597,0.00019869488,0.00021866031,0.00025009352,0.0004841231,0.00042811825,0.0004997313,0.0003685171,0.00022457926],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008365105,0.00030765933,0.0034050334,0.0001250479,0.000011566248,0.00016013435,0.0002827015,0.0009892504,0.9875101,0.00003582368,0.000042063613,0.0062940246],"study_design_scores_gemma":[0.000116645235,0.01929814,0.039636068,0.000023248445,0.00009969263,0.00035004335,0.00077584264,0.009023463,0.92951244,0.00006182587,0.0010626764,0.000039882696],"about_ca_topic_score_codex":0.0005712013,"about_ca_topic_score_gemma":0.00073124166,"teacher_disagreement_score":0.0014297686,"about_ca_system_score_codex":0.00016384297,"about_ca_system_score_gemma":0.00017971055,"threshold_uncertainty_score":0.0047830343},"labels":[],"label_agreement":null},{"id":"W2900050173","doi":"","title":"Near-Field and Far-Field Thermal-Mechanical Modelling of a Two-Level Deep Geological Repository for Used Nuclear Fuel in Crystalline Rock - an Update","year":2018,"lang":"en","type":"article","venue":"52nd U.S. Rock Mechanics/Geomechanics Symposium","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nuclear Waste Management Organization","funders":"","keywords":"Geology; Field (mathematics); Near and far field; Mining engineering; Seismology; Physics; Optics","score_opus":0.02663333292847186,"score_gpt":0.24978083838486936,"score_spread":0.2231475054563975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900050173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5049839,0.012983152,0.36482927,0.003345298,0.00074722787,0.00021762925,0.016248036,0.0048100404,0.091835424],"genre_scores_gemma":[0.89699924,0.0107332375,0.061480768,0.00021207976,0.00013149445,0.00013869257,0.0057897856,0.00089544605,0.023619272],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996984,0.000043929645,0.000031948955,0.00004858656,0.00015168285,0.000025448955],"domain_scores_gemma":[0.9991418,0.00026099847,0.00005879395,0.00016197513,0.00032210667,0.000054233147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008878489,0.0009388095,0.0013403976,0.00082278263,0.00048622317,0.0022078499,0.002264389,0.0016209771,0.0038092465],"category_scores_gemma":[0.0012428932,0.00085659616,0.001125252,0.0016132294,0.00060288166,0.003394771,0.0009102117,0.0012862815,0.0011787602],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062047206,0.00008645743,0.0051693986,0.00018946744,0.000047208025,0.00007004608,0.00007548895,0.9434762,0.0019147261,0.0022378883,0.0027271383,0.043944035],"study_design_scores_gemma":[0.000029097473,0.000055495726,0.00489531,0.000059972812,0.00003846035,0.00009408414,0.00010744112,0.97622913,0.001966835,0.0026926426,0.013777733,0.00005387157],"about_ca_topic_score_codex":0.025240283,"about_ca_topic_score_gemma":0.037436575,"teacher_disagreement_score":0.025240283,"about_ca_system_score_codex":0.0011282073,"about_ca_system_score_gemma":0.0012932657,"threshold_uncertainty_score":0.050186694},"labels":[],"label_agreement":null},{"id":"W2900292231","doi":"10.1007/s12517-018-4035-z","title":"Attenuation of random noise in GPR data by image processing","year":2018,"lang":"en","type":"article","venue":"Arabian Journal of Geosciences","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Luleå Tekniska Universitet; University of Tehran; McGill University","keywords":"Ground-penetrating radar; Random noise; Noise (video); Attenuation; Computer science; Synthetic data; Robustness (evolution); Curvelet; Filter (signal processing); Median filter; SIGNAL (programming language); Artificial intelligence; Pattern recognition (psychology); Computer vision; Radar; Algorithm; Image processing; Image (mathematics); Physics; Telecommunications; Wavelet transform; Optics","score_opus":0.026449908222553047,"score_gpt":0.3017968519286076,"score_spread":0.27534694370605456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900292231","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07284127,0.00040313756,0.9246011,0.00016107711,0.000071220675,0.000025033207,0.000087891116,0.00042907102,0.001380244],"genre_scores_gemma":[0.67203254,0.0020201446,0.31855798,0.00017919872,0.00024732453,0.00008215128,0.0007780932,0.00045998063,0.0056425603],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992576,0.00019771095,0.000045097655,0.00011087871,0.00032300042,0.00006559505],"domain_scores_gemma":[0.9985183,0.00079559017,0.00015280875,0.00022187174,0.00028454792,0.000026862039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008492921,0.00077978394,0.0004471807,0.0007958986,0.0001890682,0.0007716424,0.00038379838,0.0008096154,0.0011178603],"category_scores_gemma":[0.005807436,0.00052778894,0.00049294415,0.001126127,0.0006243331,0.0011715993,0.00079804147,0.0008264388,0.0007495818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00095301925,0.00020572139,0.005710519,0.00067442056,0.00017246141,0.0010419211,0.0005763557,0.16965578,0.3261915,0.017480137,0.0019639104,0.47537413],"study_design_scores_gemma":[0.00003772028,0.00024315996,0.009690507,0.0000721032,0.00021044421,0.001551316,0.00010425059,0.77756786,0.19910392,0.006149932,0.0051996387,0.000069298534],"about_ca_topic_score_codex":0.000679642,"about_ca_topic_score_gemma":0.00066699815,"teacher_disagreement_score":0.0011178603,"about_ca_system_score_codex":0.0001769485,"about_ca_system_score_gemma":0.00038359736,"threshold_uncertainty_score":0.004491508},"labels":[],"label_agreement":null},{"id":"W2903923607","doi":"10.1109/antem.2018.8572915","title":"A Contrast Source Inversion Method for Multiple Inhomogeneous Backgrounds","year":2018,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Inversion (geology); Electromagnetics; Computer science; Inverse problem; Contrast (vision); Inverse; Algorithm; Focus (optics); Electronic engineering; Mathematics; Artificial intelligence; Physics; Optics; Mathematical analysis; Geology; Geometry; Engineering","score_opus":0.019647714955981672,"score_gpt":0.27967599046994135,"score_spread":0.2600282755139597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903923607","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019153717,0.000077956196,0.99625105,0.00009677751,0.000030436773,0.000012853716,0.000025335066,0.00007276808,0.001517591],"genre_scores_gemma":[0.10949553,0.00046834446,0.88014406,0.00029345238,0.00013770728,0.00012132695,0.00021375109,0.00030106088,0.008824867],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998615,0.000024965586,0.0000058075047,0.000025101497,0.000071629416,0.000010961609],"domain_scores_gemma":[0.99977297,0.00009664123,0.000023088845,0.000017883718,0.000067679306,0.000021709415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036970378,0.00049050496,0.00030503527,0.00039398737,0.00027547972,0.0005613393,0.00080157205,0.00072433794,0.0022961874],"category_scores_gemma":[0.0011716244,0.00017665618,0.00036473904,0.00040119066,0.00046655422,0.0009730031,0.001034384,0.0010402482,0.0006072567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016728403,0.000101839854,0.0010627725,0.000355889,0.000081461076,0.00079266523,0.00030091862,0.23684362,0.17740774,0.34399635,0.010799658,0.22808981],"study_design_scores_gemma":[0.000018759636,0.000043107615,0.00014230312,0.000016513155,0.000018243029,0.0003415592,0.000019649808,0.95735997,0.0144350855,0.014557336,0.013023489,0.000023980283],"about_ca_topic_score_codex":0.001743797,"about_ca_topic_score_gemma":0.0020885456,"teacher_disagreement_score":0.0022961874,"about_ca_system_score_codex":0.0002780649,"about_ca_system_score_gemma":0.00092055916,"threshold_uncertainty_score":0.007681489},"labels":[],"label_agreement":null},{"id":"W2904140144","doi":"10.1680/jenes.18.00037","title":"Integrated assessment of oil leaking accident site with long-term artificial interference","year":2018,"lang":"en","type":"article","venue":"Journal of Environmental Engineering and Science","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Plume; Environmental science; Hydrogeology; Environmental remediation; Residual; Aquifer; Groundwater; Residual oil; Hydrology (agriculture); Geology; Borehole; Petroleum; Petroleum engineering; Soil science; Contamination; Geotechnical engineering; Meteorology","score_opus":0.011422377585482195,"score_gpt":0.2524630057249709,"score_spread":0.24104062813948868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904140144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99682295,0.000024561483,0.0025502967,0.00000928068,0.00000232067,0.00002327922,0.00006388433,0.00004137924,0.00046195614],"genre_scores_gemma":[0.9984341,0.00002299716,0.0012836509,0.0000029316457,0.0000017156804,0.0000067314545,0.000071238246,0.0000035392525,0.00017321834],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993616,0.0000740809,0.000035978686,0.000088657136,0.00033919312,0.00010056848],"domain_scores_gemma":[0.9990264,0.00013453396,0.00028980378,0.000067516965,0.00034387654,0.00013797807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056755176,0.0004889449,0.00038783645,0.001307459,0.00033523858,0.0006788513,0.0005752805,0.00084748137,0.000449481],"category_scores_gemma":[0.0009993775,0.00019752355,0.00043358415,0.00080078375,0.00045256884,0.00066901086,0.0010307899,0.00030479775,0.00010940557],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014991005,0.00074309506,0.657009,0.00027593394,0.00031567778,0.007774224,0.0016640978,0.09796075,0.1677567,0.0003598737,0.00036275745,0.06427879],"study_design_scores_gemma":[0.00004723021,0.003123805,0.732179,0.000027876884,0.00045535367,0.001702681,0.0031458277,0.18729351,0.06976533,0.0005068011,0.0016286321,0.00012404556],"about_ca_topic_score_codex":0.0044447235,"about_ca_topic_score_gemma":0.009514767,"teacher_disagreement_score":0.0044447235,"about_ca_system_score_codex":0.0005363239,"about_ca_system_score_gemma":0.0004928765,"threshold_uncertainty_score":0.0088377},"labels":[],"label_agreement":null},{"id":"W2905547130","doi":"10.1109/antem.2018.8572939","title":"Random Auxiliary Sources Method based on Point Matching Versus RGW Testing","year":2018,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Matching (statistics); Point set registration; Point (geometry); Stability (learning theory); Mathematics; Algorithm; Computer science; Geometry; Statistics; Machine learning","score_opus":0.03216770200717807,"score_gpt":0.30282088530267814,"score_spread":0.2706531832955001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905547130","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008366086,0.00012914701,0.9883244,0.000055352473,0.000037480448,0.000042462034,0.000038692408,0.0006290201,0.0023774237],"genre_scores_gemma":[0.315709,0.00035281453,0.6782961,0.00010393681,0.00007414921,0.00022669433,0.00036043976,0.0007342799,0.0041425773],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99880004,0.00053380977,0.000051469444,0.00011491467,0.00044298594,0.00005681272],"domain_scores_gemma":[0.997184,0.001622076,0.00020304714,0.0004511079,0.00047935583,0.000060427945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018653228,0.0009512165,0.00072508864,0.0012936095,0.00030880878,0.0011009874,0.0015996356,0.0012641925,0.0046529607],"category_scores_gemma":[0.008817124,0.00021624695,0.0006782755,0.0011196235,0.0011171061,0.00156197,0.0014776052,0.00089644204,0.0015609576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001156086,0.00014621699,0.0022006175,0.0005720932,0.00015173873,0.00031147504,0.00022504454,0.3863452,0.038190793,0.12185024,0.0041941917,0.44465634],"study_design_scores_gemma":[0.000025055057,0.00008363211,0.00023933311,0.000020159028,0.000016010039,0.00010974818,0.000022686967,0.9754861,0.013773886,0.008422795,0.0017765877,0.000024047764],"about_ca_topic_score_codex":0.0010453808,"about_ca_topic_score_gemma":0.0005703067,"teacher_disagreement_score":0.0046529607,"about_ca_system_score_codex":0.00030555832,"about_ca_system_score_gemma":0.0006887882,"threshold_uncertainty_score":0.015565634},"labels":[],"label_agreement":null},{"id":"W2907631133","doi":"10.1016/j.coldregions.2018.12.010","title":"Spatial variability of ice thickness on stormwater retention ponds","year":2018,"lang":"en","type":"article","venue":"Cold Regions Science and Technology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ground-penetrating radar; Spatial variability; Surface runoff; Hydrology (agriculture); Melt pond; Inlet; Geology; Ice stream; Environmental science; Cryosphere; Geomorphology; Sea ice; Climatology; Radar; Geotechnical engineering","score_opus":0.014780965483423348,"score_gpt":0.25304715953909396,"score_spread":0.23826619405567062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907631133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99937636,0.000012746529,0.00007532737,0.00000709881,0.0000011751666,0.0000015144509,0.0001659927,0.000009084938,0.00035061434],"genre_scores_gemma":[0.99970514,0.000008157762,0.000035399295,0.0000013315758,0.0000013987919,0.000001415375,0.00012906261,0.0000019815197,0.00011607535],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998872,0.000013555843,0.0000069619305,0.000037797705,0.000018630595,0.000035897203],"domain_scores_gemma":[0.99936396,0.00016808268,0.00012734265,0.00006443437,0.00019839632,0.000077795645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002737376,0.00012387936,0.00033644965,0.00093334087,0.00042466147,0.00053644256,0.0003032809,0.00029981494,0.0013670817],"category_scores_gemma":[0.00076786074,0.00017286025,0.0003113336,0.00093440025,0.00052538974,0.00042956538,0.00047285468,0.00016741392,0.00022219338],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066979835,0.00007997274,0.9527108,0.000034983015,0.000114450726,0.00023445854,0.00055510656,0.010439946,0.027268177,0.00028512292,0.00034011094,0.0072670677],"study_design_scores_gemma":[0.0000060468496,0.00002013718,0.9930917,0.0000030085646,0.000014222712,0.000022895845,0.00015901704,0.00581498,0.0006899939,0.00003897917,0.00013329522,0.000005658985],"about_ca_topic_score_codex":0.0151439365,"about_ca_topic_score_gemma":0.01914887,"teacher_disagreement_score":0.0151439365,"about_ca_system_score_codex":0.0005951214,"about_ca_system_score_gemma":0.0003120661,"threshold_uncertainty_score":0.030111551},"labels":[],"label_agreement":null},{"id":"W2912034821","doi":"10.4095/313562","title":"Applications of borehole geophysical logs in groundwater studies","year":2019,"lang":"en","type":"report","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Borehole; Geology; Groundwater; Geophysics; Geotechnical engineering","score_opus":0.04404805395830251,"score_gpt":0.3391395967038336,"score_spread":0.29509154274553107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912034821","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6122107,0.002221513,0.26556736,0.0016137832,0.0005027612,0.002031492,0.036189362,0.0063028163,0.07336027],"genre_scores_gemma":[0.8203711,0.0009828316,0.16933325,0.00018133242,0.000057403446,0.00047952522,0.0051809596,0.00021686823,0.0031966746],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984282,0.0006227887,0.00019206406,0.00021569192,0.0004396734,0.0001015472],"domain_scores_gemma":[0.98980284,0.0030650084,0.001298549,0.001682163,0.0035917712,0.0005596977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027117713,0.0006274356,0.00022443905,0.005628405,0.00056368153,0.0019492083,0.0011614382,0.00041716403,0.0031506692],"category_scores_gemma":[0.013937416,0.00039766662,0.00016995649,0.008016593,0.0005579224,0.0011316059,0.0014341098,0.00040662911,0.00053128327],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002864038,0.00021604444,0.49117833,0.00039728964,0.00006125592,0.0008115931,0.0043135956,0.006015818,0.0074838907,0.007856522,0.009272386,0.47210687],"study_design_scores_gemma":[0.00013915985,0.0005344625,0.6664756,0.00081346324,0.00019966473,0.0014038532,0.021947796,0.062448572,0.02090792,0.020499976,0.20437633,0.0002532028],"about_ca_topic_score_codex":0.07408478,"about_ca_topic_score_gemma":0.17855085,"teacher_disagreement_score":0.07408478,"about_ca_system_score_codex":0.001466999,"about_ca_system_score_gemma":0.0026990294,"threshold_uncertainty_score":0.14730716},"labels":[],"label_agreement":null},{"id":"W2912548519","doi":"10.2113/jeeg23.4.489","title":"Measurement of Bulk Electrical Properties Using GPR with a Variable Reflector","year":2018,"lang":"en","type":"article","venue":"Journal of Environmental and Engineering Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Research Canada","funders":"","keywords":"Reflector (photography); Ground-penetrating radar; Clutter; Remote sensing; Radar; Geology; Optics; Acoustics; Computer science; Telecommunications; Physics","score_opus":0.015328693000459056,"score_gpt":0.1894770152405162,"score_spread":0.17414832224005714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912548519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8795032,0.000115694405,0.11825646,0.00003974444,0.000015900829,0.000044368324,0.0002585035,0.0007138988,0.0010522424],"genre_scores_gemma":[0.931893,0.00008036905,0.06735851,0.000020659541,0.000005283173,0.000017162532,0.00011971972,0.000038461116,0.0004667908],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996445,0.00008519074,0.000016565771,0.00008552939,0.00013260095,0.000035595454],"domain_scores_gemma":[0.99948525,0.00017389371,0.00009395581,0.00013023926,0.00009293606,0.0000236482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005050559,0.00044588526,0.00041222712,0.00042982816,0.00010515978,0.00046280056,0.00043123815,0.00039300756,0.0006369909],"category_scores_gemma":[0.0006167344,0.00023140426,0.0002722143,0.00040871312,0.00032033952,0.00047309406,0.00042437133,0.00036661702,0.0002456096],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031850862,0.00005640496,0.0041966247,0.000072218216,0.000026252765,0.000072765884,0.00005724078,0.0043510688,0.97065026,0.00035671328,0.00015508385,0.019686826],"study_design_scores_gemma":[0.00006097675,0.0012988806,0.013590859,0.000013769757,0.000057375848,0.00045943225,0.000075762415,0.05962833,0.9231149,0.00023158749,0.0014233735,0.0000448803],"about_ca_topic_score_codex":0.00039793493,"about_ca_topic_score_gemma":0.0003825646,"teacher_disagreement_score":0.0006369909,"about_ca_system_score_codex":0.00017847931,"about_ca_system_score_gemma":0.00013053222,"threshold_uncertainty_score":0.002671063},"labels":[],"label_agreement":null},{"id":"W2919494352","doi":"10.5539/jgg.v11n1p13","title":"Groundwater Surface (GWS) Mapping by Ground Penetrating Radar (GPR) For Use in Protecting Freshwater Habitats, Water Quality, and Active Dune Landscapes, In the Florence Coastal Dune Sheet, Oregon, USA","year":2019,"lang":"en","type":"article","venue":"Journal of Geography and Geology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Oceanic and Atmospheric Administration; U.S. Department of Commerce; U.S. Environmental Protection Agency","keywords":"Ground-penetrating radar; Aquifer; Geology; Hydrology (agriculture); Groundwater; Phreatic; Geomorphology; Radar","score_opus":0.01904075604428837,"score_gpt":0.25448042866670567,"score_spread":0.2354396726224173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2919494352","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99622005,0.00008020241,0.0008394731,0.0000621277,0.0000027494762,0.000049504564,0.00079990365,0.000055257682,0.0018907546],"genre_scores_gemma":[0.99109393,0.00018983602,0.0058518606,0.000032597385,0.0000043237083,0.00005018836,0.00086496025,0.0000096083495,0.0019026459],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998932,0.0000126681125,0.000008335331,0.00003552731,0.000037288057,0.000012905187],"domain_scores_gemma":[0.99985373,0.000024614415,0.00003783474,0.000012337802,0.000047535068,0.000023940938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019977923,0.00023616127,0.00011167886,0.00074315554,0.0004103616,0.00060842896,0.00031555904,0.00013292831,0.0011033418],"category_scores_gemma":[0.00031312648,0.00011691265,0.00012018092,0.0006740209,0.00021731929,0.0002978906,0.00036384162,0.000140136,0.00013645389],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015043521,0.00016412928,0.8393777,0.00009903196,0.000035601082,0.0005778365,0.0008575575,0.00096329045,0.034807734,0.00010173647,0.0011001625,0.121764824],"study_design_scores_gemma":[0.000010994684,0.0001553706,0.9898588,0.000023320807,0.000018608864,0.00018449711,0.0016824531,0.0025611992,0.0027446102,0.00004274897,0.002710302,0.0000070329884],"about_ca_topic_score_codex":0.08158325,"about_ca_topic_score_gemma":0.27204558,"teacher_disagreement_score":0.08158325,"about_ca_system_score_codex":0.0006638008,"about_ca_system_score_gemma":0.0005389389,"threshold_uncertainty_score":0.16221678},"labels":[],"label_agreement":null},{"id":"W2921453073","doi":"10.4018/ij3dim.2018040103","title":"Detection and Location of Buried Infrastructures Using Ground Penetrating Radar","year":2018,"lang":"en","type":"article","venue":"International Journal of 3-D Information Modeling","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Ground-penetrating radar; Georeference; Geospatial analysis; Software deployment; Computer science; Visualization; CityGML; Field (mathematics); Remote sensing; Data mining; Radar; Geology; Geography; Software engineering","score_opus":0.015769705238576546,"score_gpt":0.27543500590305714,"score_spread":0.25966530066448057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921453073","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21970542,0.00040426714,0.7728374,0.00012665534,0.00005332411,0.000082692306,0.00023885793,0.0028574138,0.0036939164],"genre_scores_gemma":[0.67554474,0.00045880332,0.32182875,0.00005510165,0.00003044918,0.000033857516,0.00040123775,0.00008952193,0.0015574539],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9995963,0.0000924343,0.00001759935,0.0000866201,0.00014036881,0.00006667667],"domain_scores_gemma":[0.9997002,0.00008581923,0.00005779869,0.00006162968,0.000072255534,0.000022400076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003369663,0.00061887945,0.0003840244,0.0015139312,0.0001682334,0.0008533522,0.00057761284,0.00070656184,0.0008234442],"category_scores_gemma":[0.0010586133,0.0003288143,0.000267125,0.00076425413,0.00021678102,0.001052131,0.0011570018,0.0003588642,0.0007749836],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003670864,0.00012247311,0.02050269,0.0003970612,0.00010171617,0.0014334059,0.001096342,0.058838036,0.305868,0.0045889155,0.0025495116,0.60413486],"study_design_scores_gemma":[0.00006849847,0.0005573341,0.034659028,0.00017879777,0.00022848177,0.003057544,0.0018072682,0.7604322,0.17149343,0.007314507,0.020080594,0.0001223669],"about_ca_topic_score_codex":0.00081499433,"about_ca_topic_score_gemma":0.0009110569,"teacher_disagreement_score":0.0015139312,"about_ca_system_score_codex":0.00014719059,"about_ca_system_score_gemma":0.00023621417,"threshold_uncertainty_score":0.0027546883},"labels":[],"label_agreement":null},{"id":"W2922503731","doi":"10.2113/jeeg23.4.469","title":"The Warr Machine: System Design, Implementation and Data","year":2018,"lang":"en","type":"article","venue":"Journal of Environmental and Engineering Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Research Canada","funders":"","keywords":"Ground-penetrating radar; Offset (computer science); Geology; Software deployment; Computer science; Data processing; Transmitter; Remote sensing; Radar; Telecommunications; Database","score_opus":0.012300951513935326,"score_gpt":0.2361956636891027,"score_spread":0.22389471217516738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922503731","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.052557886,0.00032132663,0.8814542,0.0008860904,0.00022247841,0.0027026061,0.0010102862,0.04687881,0.013966221],"genre_scores_gemma":[0.36286086,0.00035543213,0.60677665,0.0007788398,0.00021401474,0.0022176334,0.0027592552,0.0019210605,0.022116333],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984869,0.00033744433,0.000112650465,0.00028161795,0.00065885356,0.00012265934],"domain_scores_gemma":[0.99858356,0.0002381005,0.000081314654,0.00031834096,0.0006766119,0.000102080856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017929468,0.0008799449,0.0006963541,0.0011971747,0.00037990118,0.0016271523,0.0019358634,0.00086724566,0.01533268],"category_scores_gemma":[0.003104966,0.0005704304,0.00025704099,0.0006724643,0.00050965446,0.0022802632,0.0012540658,0.00075805356,0.008004975],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014374402,0.00058518664,0.013030995,0.00075217534,0.000103651655,0.0009908434,0.0007640291,0.024441078,0.12941067,0.011931286,0.047819916,0.7687328],"study_design_scores_gemma":[0.0004463788,0.0036857803,0.007837121,0.00023616162,0.00010780677,0.0017462076,0.00047143464,0.50702673,0.26026016,0.005544794,0.21240932,0.00022801592],"about_ca_topic_score_codex":0.0012098114,"about_ca_topic_score_gemma":0.00067023677,"teacher_disagreement_score":0.01533268,"about_ca_system_score_codex":0.00056489673,"about_ca_system_score_gemma":0.001100905,"threshold_uncertainty_score":0.051292896},"labels":[],"label_agreement":null},{"id":"W2935785102","doi":"10.29173/mocs61","title":"Damage assessment of semi-precast slabs using impact-echo method","year":2017,"lang":"en","type":"article","venue":"Modular and Offsite Construction (MOC) Summit Proceedings","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Precast concrete; Quality (philosophy); Computer science; Structural engineering; Civil engineering; Construction engineering; Engineering; Physics","score_opus":0.020116537420224193,"score_gpt":0.3342767977018318,"score_spread":0.3141602602816076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2935785102","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9259969,0.00013891369,0.07164012,0.0000144325995,0.000007176525,0.000038834944,0.00011476594,0.00021656076,0.0018321992],"genre_scores_gemma":[0.9757472,0.0000984679,0.023399903,0.000006490538,0.0000022648405,0.000012907988,0.00007179601,0.000009261966,0.0006516983],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99967074,0.00003137831,0.000016069798,0.000048390448,0.00019940065,0.00003399453],"domain_scores_gemma":[0.99947566,0.00010073471,0.00012111289,0.000053187952,0.00020905926,0.00004019902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003875897,0.000464104,0.00023152435,0.001713169,0.0001347411,0.00027498245,0.00035397138,0.00036988818,0.00093513366],"category_scores_gemma":[0.0005895759,0.00018840634,0.0002280509,0.0006454779,0.0002628263,0.00034532926,0.00045435512,0.00021296796,0.00017609951],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037944695,0.00015943269,0.083113454,0.00027510637,0.00006322216,0.0005635027,0.000742225,0.040766045,0.73960686,0.0005994784,0.00026923788,0.133462],"study_design_scores_gemma":[0.000026615455,0.0005736162,0.39344817,0.00004868101,0.000093690236,0.0009002377,0.0007880242,0.350154,0.251957,0.0005895427,0.0013094097,0.00011091879],"about_ca_topic_score_codex":0.0017676306,"about_ca_topic_score_gemma":0.0043230397,"teacher_disagreement_score":0.0017676306,"about_ca_system_score_codex":0.00022236929,"about_ca_system_score_gemma":0.00022670225,"threshold_uncertainty_score":0.003514707},"labels":[],"label_agreement":null},{"id":"W2937331913","doi":"10.4018/ijsds.2019040105","title":"Mapping Ground Penetrating Radar Amplitudes Using Artificial Neural Network and Multiple Regression Analysis Methods","year":2019,"lang":"en","type":"article","venue":"International Journal of Strategic Decision Sciences","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Bridge (graph theory); Ground-penetrating radar; Rebar; Artificial neural network; Computer science; Radar; Weibull distribution; Artificial intelligence; Engineering; Structural engineering; Statistics; Mathematics","score_opus":0.1511898172302258,"score_gpt":0.42240096795602644,"score_spread":0.27121115072580065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2937331913","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.116211325,0.00039450376,0.8803079,0.00013705823,0.00004029305,0.000082382,0.00016218444,0.000723856,0.0019406105],"genre_scores_gemma":[0.7681645,0.00042334187,0.22857039,0.00005327027,0.000037367143,0.00015710655,0.00028869323,0.00004170642,0.0022636172],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955684,0.000117109914,0.0000349133,0.00013640863,0.00010910183,0.000045552642],"domain_scores_gemma":[0.9994584,0.00026848423,0.00010080465,0.000025014278,0.00013174818,0.000015570396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076484826,0.001056166,0.00053187355,0.0014658804,0.00022849534,0.0008237208,0.0007338155,0.00082692906,0.0009955743],"category_scores_gemma":[0.0016927908,0.0003724887,0.0006600642,0.0013574085,0.00019969068,0.00078207377,0.00045123431,0.0006363583,0.0003104968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013116273,0.00024996547,0.006058619,0.00011717824,0.0001288383,0.0001862274,0.00006777192,0.70947474,0.008913516,0.0012012047,0.00074727245,0.2727235],"study_design_scores_gemma":[0.00000183225,0.000015800217,0.0006947007,0.000002821499,0.0000057870766,0.000008759702,0.000008180193,0.9983972,0.0005848131,0.00020155309,0.000074059324,0.000004393198],"about_ca_topic_score_codex":0.0055144127,"about_ca_topic_score_gemma":0.00410879,"teacher_disagreement_score":0.0055144127,"about_ca_system_score_codex":0.00038286689,"about_ca_system_score_gemma":0.00042443225,"threshold_uncertainty_score":0.010964632},"labels":[],"label_agreement":null},{"id":"W2938327413","doi":"10.1139/cgj-2018-0572","title":"Improving consolidation of dredged slurry by vacuum preloading using prefabricated vertical drains (PVDs) with varying filter pore sizes","year":2019,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Clogging; Consolidation (business); Filter cake; Slurry; Pore water pressure; Geotechnical engineering; Hydraulic head; Geotextile; Drainage; Filter (signal processing); Permeability (electromagnetism); Slippage; Materials science; Filter press; Composite material; Engineering; Environmental engineering","score_opus":0.011259737860091367,"score_gpt":0.2221807873898378,"score_spread":0.2109210495297464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2938327413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929594,0.00057216,0.005822781,0.00002023033,0.000024870968,0.000027684515,0.000058069454,0.00009214883,0.00042275345],"genre_scores_gemma":[0.98895746,0.00047975904,0.009503705,0.00002667147,0.000007327649,0.000026505917,0.000113398564,0.000029275956,0.0008558802],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99971443,0.00002060746,0.000042455893,0.00006820061,0.00009370019,0.00006066477],"domain_scores_gemma":[0.9996824,0.00008254275,0.00009505615,0.0000259409,0.0000798687,0.000034168297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034425472,0.00037094543,0.00033795123,0.00044150557,0.00017344802,0.0005591623,0.00033724107,0.00031337733,0.0006619037],"category_scores_gemma":[0.00089584646,0.0002567691,0.000338006,0.00039191154,0.00026647965,0.00069147657,0.00037245746,0.0004802473,0.00014692893],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007333948,0.000052420706,0.0013155534,0.00010514164,0.00000779347,0.000055725184,0.00006653499,0.0004999725,0.99022526,0.00008392534,0.000043128075,0.007471254],"study_design_scores_gemma":[0.000017223732,0.00050827465,0.0077848057,0.000012260463,0.000020607153,0.00006957654,0.00008045613,0.0016753984,0.98834676,0.000025634254,0.0014455004,0.000013522313],"about_ca_topic_score_codex":0.0013286012,"about_ca_topic_score_gemma":0.0038485131,"teacher_disagreement_score":0.0013286012,"about_ca_system_score_codex":0.00030944153,"about_ca_system_score_gemma":0.0002567828,"threshold_uncertainty_score":0.0026417375},"labels":[],"label_agreement":null},{"id":"W2941897344","doi":"10.1002/nsg.12046","title":"GPR Investigations at St John's Co‐Cathedral in Valletta","year":2019,"lang":"en","type":"article","venue":"Near Surface Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Care Foundation","funders":"","keywords":"Nave; Ground-penetrating radar; Geology; Archaeology; Mosaic; Radar; History; Engineering","score_opus":0.01183249633470919,"score_gpt":0.23936390399931062,"score_spread":0.22753140766460142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2941897344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979127,0.000035152374,0.000124239,0.000035016863,0.00000435662,0.000007784623,0.00017472003,0.000012866281,0.0016931838],"genre_scores_gemma":[0.9983107,0.000034547767,0.00024106447,0.0000121728535,0.0000035280889,0.0000046045243,0.000103071165,0.000005489472,0.0012847934],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998708,0.000016793545,0.0000029031742,0.000021262056,0.000031404885,0.0000569727],"domain_scores_gemma":[0.99986696,0.000025122901,0.000019230147,0.00001330411,0.00004629719,0.000029104385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010215519,0.00013520688,0.00015540159,0.0006096523,0.0009832296,0.0007579773,0.00030849507,0.0005639298,0.0011108499],"category_scores_gemma":[0.0003791613,0.000115591734,0.00008297164,0.000834312,0.0005149173,0.00019146178,0.0005209434,0.00031701033,0.00033708548],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010262035,0.00023301029,0.6527008,0.00025159412,0.00009290213,0.028924152,0.024770243,0.0041413386,0.22051111,0.0018805121,0.0072452687,0.058222935],"study_design_scores_gemma":[0.000008866218,0.00006811922,0.9744117,0.000028274335,0.000013077467,0.0011776676,0.01081777,0.0020688667,0.0045499667,0.000050074763,0.0067902524,0.00001533967],"about_ca_topic_score_codex":0.101492845,"about_ca_topic_score_gemma":0.2746505,"teacher_disagreement_score":0.101492845,"about_ca_system_score_codex":0.000551646,"about_ca_system_score_gemma":0.0005766983,"threshold_uncertainty_score":0.20180422},"labels":[],"label_agreement":null},{"id":"W2945590032","doi":"10.1117/12.2519048","title":"High-frequency electromagnetic induction (HFEMI) data from carbon rods, wires, and improvised explosive device constituent parts","year":2019,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"EMI; Permittivity; Electromagnetic induction; Explosive material; Electrical conductor; Materials science; Conductivity; Rod; Reflectometry; Acoustics; Electromagnetic interference; Electrical engineering; Composite material; Optoelectronics; Computer science; Time domain; Physics; Engineering; Dielectric; Chemistry","score_opus":0.022202360869208033,"score_gpt":0.2389447094146332,"score_spread":0.21674234854542515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945590032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96758646,0.00034965255,0.018072974,0.00014258247,0.00005164748,0.000048613405,0.0011081408,0.00022519464,0.012414721],"genre_scores_gemma":[0.99072635,0.00020734918,0.0040480066,0.00006558562,0.000011607836,0.000015135402,0.0006036591,0.000032551878,0.004289814],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99977726,0.000020108519,0.000010897192,0.000030262558,0.00013354377,0.000028107535],"domain_scores_gemma":[0.9994874,0.0001600764,0.00010088183,0.00006836136,0.00015735255,0.000025862137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022668431,0.00022883175,0.00010633128,0.00064970594,0.00019942124,0.00019434337,0.00024175383,0.00025197185,0.0034352038],"category_scores_gemma":[0.0005332718,0.000091921815,0.00010098462,0.00067556114,0.00038093384,0.00040292824,0.00024299203,0.0003320169,0.00041258134],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007892236,0.00008665978,0.012414791,0.00034147824,0.000022577964,0.00033070828,0.00029396755,0.001296486,0.94446045,0.0006531852,0.00095381786,0.0383566],"study_design_scores_gemma":[0.000018605204,0.00067574467,0.0661442,0.000020390604,0.0000364873,0.00085512607,0.0005064251,0.0023238342,0.9222064,0.0002803429,0.0069034956,0.000028954868],"about_ca_topic_score_codex":0.0007972224,"about_ca_topic_score_gemma":0.0019139086,"teacher_disagreement_score":0.0034352038,"about_ca_system_score_codex":0.00020749278,"about_ca_system_score_gemma":0.000093774244,"threshold_uncertainty_score":0.011491895},"labels":[],"label_agreement":null},{"id":"W2946171354","doi":"10.31219/osf.io/xm245","title":"Ground penetrating radar investigations at the Lake Condah Mission Cemetery: Locating unmarked graves in areas with extensive subsurface disturbance","year":2021,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Arthur B. McDonald-Canadian Astroparticle Physics Research Institute","funders":"University of Adelaide; Commonwealth Scholarship Commission","keywords":"Ground-penetrating radar; Disturbance (geology); Archaeology; Indigenous; Geography; Extant taxon; Historic site; Geology; Radar; Remote sensing; Paleontology; Ecology","score_opus":0.028099259250300025,"score_gpt":0.2444996779542169,"score_spread":0.21640041870391688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946171354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998387,0.000050503797,0.0004906451,0.000023722429,0.0000017539536,0.000015849693,0.000041900956,0.000007643003,0.0009809146],"genre_scores_gemma":[0.99667597,0.00007855181,0.001922193,0.000016564769,0.0000021933358,0.0000066709845,0.000043543285,0.0000037250707,0.0012505695],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998325,0.000019033425,0.000005926316,0.00002761709,0.00007178524,0.00004305182],"domain_scores_gemma":[0.99985695,0.000026087448,0.000037538743,0.0000124780645,0.0000345016,0.000032433363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018277136,0.00017214459,0.00013940512,0.0008657219,0.00078596885,0.00062044564,0.00036374817,0.00045552428,0.0007438042],"category_scores_gemma":[0.0005342293,0.00018205354,0.00007241257,0.0010440552,0.00052118103,0.0003640724,0.0006695987,0.00031861407,0.00016733508],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006987537,0.00024563159,0.5033451,0.0005054015,0.000052460877,0.031911798,0.042978995,0.0039469255,0.2606588,0.0011489164,0.0012211096,0.15328614],"study_design_scores_gemma":[0.000011762012,0.00047499282,0.9539283,0.000058238988,0.000020527736,0.0066511165,0.021718169,0.0042160493,0.0075233136,0.00023087494,0.005127871,0.000038875336],"about_ca_topic_score_codex":0.031945553,"about_ca_topic_score_gemma":0.13133247,"teacher_disagreement_score":0.031945553,"about_ca_system_score_codex":0.0003768823,"about_ca_system_score_gemma":0.00060792064,"threshold_uncertainty_score":0.06351924},"labels":[],"label_agreement":null},{"id":"W2946366438","doi":"10.1007/s42452-019-0588-z","title":"Sub-bottom acoustic profiling as a remediation assessment tool for contaminated lakes","year":2019,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of Northwest Territories; Wilfrid Laurier University; Institute for Circumpolar Health Research; Geological Survey of Canada; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Queen's University; Queen's University Belfast; Tides Canada; Royal Bank of Canada; Polar Knowledge Canada","keywords":"Profiling (computer programming); Environmental remediation; Environmental science; Contamination; Geology; Computer science; Ecology; Biology","score_opus":0.013829324774217529,"score_gpt":0.2912773110486136,"score_spread":0.27744798627439604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946366438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76346093,0.0006493032,0.2287877,0.00035108777,0.00005129839,0.00007624203,0.00044611335,0.0013411702,0.0048361113],"genre_scores_gemma":[0.9478285,0.00035398558,0.050161377,0.0000358058,0.000011745103,0.000021421072,0.00008302011,0.000025682473,0.001478446],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998271,0.000037013215,0.0000066489197,0.000027683021,0.00007196773,0.000029534764],"domain_scores_gemma":[0.99980265,0.00004407775,0.00003869823,0.000014668985,0.000079216865,0.000020662215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002637669,0.0004840827,0.00025806372,0.00084720924,0.0002352585,0.00061967946,0.0002586776,0.00046468407,0.0010257419],"category_scores_gemma":[0.0004802828,0.00022493178,0.000173798,0.0004195389,0.00016298814,0.0006160622,0.00073294394,0.00025981583,0.00040709143],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005828817,0.00017737945,0.044819303,0.00023774755,0.000060413313,0.00025055287,0.00049898104,0.026580265,0.5720304,0.00064981903,0.001129723,0.35298255],"study_design_scores_gemma":[0.00005160723,0.00081085606,0.10185073,0.00008667801,0.0002091377,0.0003269271,0.0011013363,0.6868446,0.20154487,0.0012351363,0.0058193314,0.0001188582],"about_ca_topic_score_codex":0.0032351573,"about_ca_topic_score_gemma":0.007920346,"teacher_disagreement_score":0.0032351573,"about_ca_system_score_codex":0.0001832589,"about_ca_system_score_gemma":0.00048459912,"threshold_uncertainty_score":0.0064326525},"labels":[],"label_agreement":null},{"id":"W2947058504","doi":"10.1111/1755-6724.14124","title":"3D MT anisotropic inversion based on finite‐element method with unstructured grids","year":2019,"lang":"en","type":"article","venue":"Acta Geologica Sinica - English Edition","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Inversion (geology); Finite element method; Anisotropy; Unstructured grid; Geology; Extended finite element method; Computer science; Computational science; Geometry; Grid; Physics; Mathematics; Structural engineering; Engineering; Seismology; Optics","score_opus":0.009460978123180084,"score_gpt":0.231970744952528,"score_spread":0.22250976682934792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947058504","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0068448647,0.00005395864,0.9884616,0.000054573396,0.000035899666,0.000029950503,0.0000971287,0.000475869,0.0039461423],"genre_scores_gemma":[0.23502995,0.00020342528,0.7593218,0.00010057325,0.0000410295,0.00016920223,0.00054889347,0.0003992495,0.004185849],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987245,0.000025455936,0.000007534418,0.000014430347,0.00007069293,0.00000941452],"domain_scores_gemma":[0.99965215,0.00013657368,0.000034764915,0.000052635467,0.00010749767,0.000016308335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019910795,0.0004080079,0.00046585477,0.0003627232,0.00027100678,0.00061570684,0.00077336095,0.0005146232,0.0038741117],"category_scores_gemma":[0.0011342191,0.00029883097,0.00045326026,0.0004909872,0.00024489177,0.00055128377,0.00072441314,0.0006657943,0.0012163966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014763308,0.00006835118,0.0012549517,0.00021158978,0.000051912677,0.00020992878,0.0001512545,0.75000197,0.039438877,0.022947824,0.0037799997,0.18173566],"study_design_scores_gemma":[0.000005828162,0.000008175731,0.00009750775,0.00000684668,0.0000036117408,0.000042308788,0.000009197202,0.99413496,0.0018089843,0.0017578299,0.0021172327,0.0000074985605],"about_ca_topic_score_codex":0.0027356434,"about_ca_topic_score_gemma":0.0026155582,"teacher_disagreement_score":0.0038741117,"about_ca_system_score_codex":0.00016113505,"about_ca_system_score_gemma":0.00089153904,"threshold_uncertainty_score":0.012960255},"labels":[],"label_agreement":null},{"id":"W2947458678","doi":"10.1016/j.ultras.2019.05.010","title":"Enhanced ultrasonic detection of near-surface flaws using transverse-wave backscatter","year":2019,"lang":"en","type":"article","venue":"Ultrasonics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Education and Child Care","funders":"Fundamental Research Funds for Central Universities of the Central South University; Fundamental Research Funds for the Central Universities; Central South University; National Natural Science Foundation of China","keywords":"Backscatter (email); Ultrasonic sensor; Transverse plane; Materials science; Transverse wave; Optics; Acoustics; Physics; Computer science; Telecommunications; Medicine; Radiology","score_opus":0.01354867016513562,"score_gpt":0.22841682559928508,"score_spread":0.21486815543414947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947458678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6839735,0.00097329245,0.31189632,0.00014276942,0.00008999993,0.000037091744,0.00010787125,0.00049249275,0.002286691],"genre_scores_gemma":[0.82248914,0.00066729414,0.17372389,0.00009557158,0.000032701315,0.000023949013,0.00014555869,0.000053198666,0.0027686774],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997435,0.000037909445,0.0000138436735,0.000035841316,0.00014243583,0.000026426216],"domain_scores_gemma":[0.9992587,0.0003129786,0.00011334145,0.000055664546,0.00023068662,0.000028607948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043041984,0.0004151452,0.00044620622,0.00046791733,0.00008021504,0.0004890227,0.00033835776,0.00064489193,0.0008928737],"category_scores_gemma":[0.0011588797,0.0003285022,0.00022585114,0.00036642273,0.00029929803,0.00072106445,0.00064980844,0.0003160748,0.00033846908],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002165089,0.00003563137,0.0025829095,0.00009166356,0.000015774425,0.00010136628,0.000060198083,0.0010877723,0.96582174,0.00042631564,0.00013777429,0.02942238],"study_design_scores_gemma":[0.000066818626,0.000518853,0.0128696775,0.000026723077,0.00007662365,0.0016839448,0.0001007413,0.11598707,0.8663723,0.0006388249,0.0016069026,0.000051528114],"about_ca_topic_score_codex":0.00023384222,"about_ca_topic_score_gemma":0.0006493398,"teacher_disagreement_score":0.0008928737,"about_ca_system_score_codex":0.00011479164,"about_ca_system_score_gemma":0.00022355933,"threshold_uncertainty_score":0.0029869676},"labels":[],"label_agreement":null},{"id":"W2947727626","doi":"10.1190/tle38060453.1","title":"Understanding the use of ground-penetrating radar for assessing clandestine tunnel detection","year":2019,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"College of Family Physicians of Canada","funders":"","keywords":"Ground-penetrating radar; Radar; Focus (optics); Noise (video); Computer science; Point (geometry); Remote sensing; Key (lock); Field (mathematics); Computer security; Geology; Artificial intelligence; Telecommunications","score_opus":0.19433707141704507,"score_gpt":0.31098490086541875,"score_spread":0.11664782944837368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947727626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9438811,0.00037980767,0.05200302,0.00016799239,0.000004121731,0.0000704037,0.00007112676,0.00005506606,0.0033673218],"genre_scores_gemma":[0.9824395,0.00019715223,0.016922133,0.000026161417,0.0000018268132,0.000011356444,0.0000465485,0.0000044188755,0.00035089185],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99949765,0.00017269667,0.000027869306,0.00009642619,0.00015895521,0.000046382465],"domain_scores_gemma":[0.99857783,0.0006133538,0.0002751784,0.00005225966,0.000432592,0.00004876128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001579937,0.0006293199,0.00029426196,0.0010159948,0.00021735574,0.0015549005,0.0004575333,0.0009233587,0.00037251093],"category_scores_gemma":[0.0039257947,0.00023242562,0.00014769292,0.00048672932,0.00049383537,0.0011895824,0.0004354477,0.00032697804,0.00009114489],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038490718,0.00027724166,0.23949541,0.0007925155,0.00011265506,0.0015746149,0.0018920994,0.31170693,0.22798045,0.00341336,0.00050470256,0.21186511],"study_design_scores_gemma":[0.000020413634,0.0007440624,0.37880334,0.00028140165,0.00007988138,0.000953155,0.0030380103,0.56727105,0.043524373,0.002801091,0.0023672588,0.0001160525],"about_ca_topic_score_codex":0.012794385,"about_ca_topic_score_gemma":0.021615447,"teacher_disagreement_score":0.012794385,"about_ca_system_score_codex":0.00052662415,"about_ca_system_score_gemma":0.00072177977,"threshold_uncertainty_score":0.025439799},"labels":[],"label_agreement":null},{"id":"W2948003813","doi":"10.1190/tle38060436.1","title":"Detection of tunnels and boulders using shallow SH-SH reflected seismic waves","year":2019,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Geology; Seismology; Geophone; Seismic vibrator; Seismic wave; Vertical seismic profile; Wavelength; Acoustics; Optics","score_opus":0.02429221708272225,"score_gpt":0.2740012245783176,"score_spread":0.24970900749559535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948003813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99101603,0.000038371272,0.008342783,0.000010333734,0.000003380298,0.000015618778,0.000040959094,0.000052100542,0.00048050532],"genre_scores_gemma":[0.985694,0.000026515372,0.013884805,0.000007148736,0.000002215813,0.0000066026537,0.000043620883,0.0000041451513,0.00033092246],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998294,0.000027169559,0.000008963159,0.000037557227,0.000058937178,0.00003805459],"domain_scores_gemma":[0.9996358,0.000120749035,0.00006551595,0.000042458305,0.00007630064,0.00005918173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029544657,0.0002880819,0.00020721482,0.00083310885,0.00018789539,0.00026790827,0.000265884,0.00043755685,0.0006579913],"category_scores_gemma":[0.0005047991,0.00019198243,0.00015828312,0.00027940905,0.00034089002,0.00019401846,0.00046424245,0.00018054766,0.0001739434],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005152042,0.00015432332,0.15638125,0.00015731785,0.000053650576,0.0028880998,0.00084944273,0.005247641,0.7664722,0.00019295732,0.00023072392,0.06685712],"study_design_scores_gemma":[0.000057205983,0.0013975978,0.5708528,0.000072617004,0.00010503594,0.0077203526,0.0022356235,0.07061698,0.34492686,0.0004914159,0.0014551142,0.00006840088],"about_ca_topic_score_codex":0.00091005256,"about_ca_topic_score_gemma":0.0037166288,"teacher_disagreement_score":0.00091005256,"about_ca_system_score_codex":0.000074599535,"about_ca_system_score_gemma":0.00019027483,"threshold_uncertainty_score":0.0022012591},"labels":[],"label_agreement":null},{"id":"W2948058727","doi":"10.4095/314730","title":"High-resolution seismic reflection profiles for groundwater studies in the Niagara Peninsula region, Ontario","year":2019,"lang":"en","type":"report","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Peninsula; Geology; Reflection (computer programming); Groundwater; Seismology; Resolution (logic); High resolution; Geomorphology; Archaeology; Geography; Remote sensing; Geotechnical engineering","score_opus":0.12520078490398973,"score_gpt":0.3510062495520491,"score_spread":0.2258054646480594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948058727","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96514577,0.0002449995,0.0011890036,0.00028113855,0.000006949081,0.00015893769,0.013152068,0.00009368046,0.019727454],"genre_scores_gemma":[0.9593514,0.0004636649,0.0062770694,0.000029980927,0.00000542539,0.00009476646,0.0066638933,0.000047434478,0.027066393],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998386,0.000012624534,0.000009059829,0.000025392905,0.0000763536,0.000037919122],"domain_scores_gemma":[0.99957186,0.00003974759,0.00003278987,0.000022750599,0.00028492478,0.000047973786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019500752,0.00017065638,0.00016490184,0.00073586276,0.0013819049,0.0007275084,0.00038936606,0.00020618034,0.002160331],"category_scores_gemma":[0.0007810858,0.00016731131,0.000113343485,0.0018870215,0.00021749029,0.00029369324,0.0003615268,0.00017203417,0.00043937465],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007633948,0.00022527238,0.79714537,0.00042886753,0.00014520575,0.0014610665,0.00796115,0.014236153,0.032961678,0.0023270505,0.02114423,0.12120054],"study_design_scores_gemma":[0.000038933173,0.000038221304,0.9662207,0.000033854318,0.000036457393,0.00013111268,0.0046645124,0.0066840434,0.0038192265,0.000113566646,0.018196013,0.000023234381],"about_ca_topic_score_codex":0.98019457,"about_ca_topic_score_gemma":0.9964198,"teacher_disagreement_score":0.019805431,"about_ca_system_score_codex":0.00577631,"about_ca_system_score_gemma":0.012686516,"threshold_uncertainty_score":0.04191029},"labels":[],"label_agreement":null},{"id":"W2955163944","doi":"10.3390/s19132913","title":"Locating Underground Pipe Using Wideband Chaotic Ground Penetrating Radar","year":2019,"lang":"en","type":"article","venue":"Sensors","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"China Scholarship Council; Natural Science Foundation of Shanxi Province; National Natural Science Foundation of China","keywords":"Ground-penetrating radar; Chaotic; Radar; Wideband; SIGNAL (programming language); Geology; Remote sensing; Bandwidth (computing); Acoustics; Range (aeronautics); Engineering; Electronic engineering; Computer science; Physics; Telecommunications; Aerospace engineering","score_opus":0.02026841765653987,"score_gpt":0.2529081607911081,"score_spread":0.23263974313456826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955163944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82837033,0.00019545342,0.16925356,0.00011729448,0.00003783711,0.00004623264,0.00005883594,0.0004746455,0.0014458363],"genre_scores_gemma":[0.97695404,0.00008979724,0.022413308,0.000023192939,0.0000074798168,0.00001852002,0.000029026476,0.000006264486,0.0004583854],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998481,0.000032146818,0.0000059614295,0.000036812668,0.000057062378,0.00001986315],"domain_scores_gemma":[0.9997863,0.00003804696,0.00006422234,0.000037667876,0.000057054498,0.000016608717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017360819,0.0002635618,0.0002616312,0.0001833519,0.00012240186,0.0001794566,0.00035412918,0.00041444172,0.00036749672],"category_scores_gemma":[0.00035840966,0.00014632854,0.000101942656,0.00016027523,0.00031751726,0.0005208168,0.0004750313,0.00016960487,0.00010471019],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031624033,0.0000403271,0.0038074104,0.000155749,0.000016692456,0.00030582797,0.00013479684,0.006837912,0.9519249,0.00073940423,0.00020200235,0.035518732],"study_design_scores_gemma":[0.00011564398,0.0018854237,0.014083076,0.000031759515,0.000083900035,0.0012341677,0.00020649613,0.16632639,0.81260574,0.000754952,0.0026104692,0.000061962375],"about_ca_topic_score_codex":0.00020819412,"about_ca_topic_score_gemma":0.00018845285,"teacher_disagreement_score":0.00041444172,"about_ca_system_score_codex":0.00012864302,"about_ca_system_score_gemma":0.0001563451,"threshold_uncertainty_score":0.0012294054},"labels":[],"label_agreement":null},{"id":"W2960202704","doi":"10.18280/i2m.180210","title":"An Electromagnetic Detection Method for Grain Silos Based on Finite Difference Time Domain and Ground Penetration Radar","year":2019,"lang":"en","type":"article","venue":"Instrumentation Mesure Métrologie","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Henan University; Henan Provincial Science and Technology Research Project; Henan University of Technology","keywords":"Information silo; Ground-penetrating radar; Penetration (warfare); Time domain; Radar; Finite-difference time-domain method; Computer science; Engineering; Mechanical engineering; Physics; Aerospace engineering; Silo; Optics; Computer vision; Operations research","score_opus":0.011815149768067437,"score_gpt":0.2787973007865516,"score_spread":0.2669821510184842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2960202704","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005885034,0.00006790572,0.9932962,0.000024911933,0.000025960377,0.000015332933,0.000010814044,0.00022674819,0.00044719255],"genre_scores_gemma":[0.27439418,0.00032652996,0.7224719,0.00007391336,0.000040545085,0.000077404635,0.00010131105,0.00007481089,0.0024394784],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997949,0.000031790365,0.000012146735,0.000034629404,0.000114112205,0.000012531548],"domain_scores_gemma":[0.99970704,0.000108920576,0.000037613452,0.000028482838,0.00010460355,0.000013189329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024264822,0.00034845708,0.00031044532,0.0005484092,0.00016475537,0.0003676302,0.0005570273,0.0004591072,0.0010835036],"category_scores_gemma":[0.00080482295,0.00022369219,0.00043412411,0.00039777733,0.00024722225,0.0007604369,0.00034524134,0.0005033576,0.00034347532],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025032717,0.00013852338,0.002786294,0.00047329176,0.00008827842,0.0003638307,0.0002695271,0.14898443,0.31140807,0.018803392,0.0022784397,0.5141556],"study_design_scores_gemma":[0.000011930447,0.000052194308,0.0005810589,0.000009443324,0.000013191099,0.0002707357,0.000031962325,0.9728759,0.022562824,0.0011883874,0.0023785592,0.000023864182],"about_ca_topic_score_codex":0.00086820964,"about_ca_topic_score_gemma":0.0008493468,"teacher_disagreement_score":0.0010835036,"about_ca_system_score_codex":0.00019863408,"about_ca_system_score_gemma":0.00029698538,"threshold_uncertainty_score":0.003624618},"labels":[],"label_agreement":null},{"id":"W2966582723","doi":"10.18280/isi.240213","title":"Ground Penetrating Radar Weak Signals Denoising via Semi-soft Threshold Empirical Wavelet Transform","year":2019,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"China Railway","keywords":"Ground-penetrating radar; Wavelet transform; Noise reduction; Wavelet; Acoustics; Radar; Computer science; Artificial intelligence; Physics; Telecommunications","score_opus":0.016786090404290098,"score_gpt":0.2521104533027246,"score_spread":0.23532436289843447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966582723","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.050369825,0.00017508522,0.9488296,0.000067814304,0.000020876556,0.0000099482795,0.000017189233,0.00013698342,0.00037262138],"genre_scores_gemma":[0.5707293,0.0006732852,0.42613527,0.000085923464,0.000055849057,0.00004335565,0.00016502647,0.00008856807,0.0020232988],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996499,0.000066050125,0.000027409711,0.00006533057,0.00016744735,0.000023845492],"domain_scores_gemma":[0.9996069,0.00014802988,0.000056669905,0.00005483393,0.00011308894,0.000020438185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077665295,0.00043225367,0.00047524326,0.000479959,0.00013953692,0.0005808624,0.0004753454,0.0005615911,0.00044937542],"category_scores_gemma":[0.0016597772,0.00022086332,0.000560309,0.00042053752,0.00040971918,0.00093795074,0.0006641811,0.000608078,0.00017774716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004892621,0.0001615533,0.0029163815,0.0002965489,0.00012214854,0.0003069265,0.0002400823,0.21071212,0.31933814,0.012076554,0.0010934564,0.4522468],"study_design_scores_gemma":[0.000008670564,0.000052279225,0.0008859339,0.0000063968596,0.000016638713,0.00011237105,0.000018248313,0.97495145,0.021991594,0.0013493879,0.00059559644,0.000011441685],"about_ca_topic_score_codex":0.0004982803,"about_ca_topic_score_gemma":0.0005186877,"teacher_disagreement_score":0.00077665295,"about_ca_system_score_codex":0.00014342634,"about_ca_system_score_gemma":0.00030257794,"threshold_uncertainty_score":0.004107356},"labels":[],"label_agreement":null},{"id":"W2967784479","doi":"10.1190/segam2019-3216829.1","title":"Modelling the airborne electromagnetic response of a sphere beneath conductive overburden","year":2019,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Electrical conductor; Overburden; Geology; Remote sensing; Electrical engineering; Engineering; Geotechnical engineering","score_opus":0.011349712413473859,"score_gpt":0.2237425170021845,"score_spread":0.21239280458871065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2967784479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68167037,0.00026781223,0.27929893,0.00039175295,0.00010009588,0.00011652414,0.0010006395,0.0015528569,0.03560093],"genre_scores_gemma":[0.9780855,0.00020099654,0.013966929,0.00004946344,0.000017263737,0.000045274344,0.0002512483,0.00009569481,0.0072876182],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999261,0.000019329638,0.0000025062131,0.000016014705,0.000021163212,0.00001479029],"domain_scores_gemma":[0.9998653,0.00007443402,0.0000132060695,0.000009383556,0.00002340228,0.000014300397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015281525,0.00039931035,0.00025775933,0.00023782613,0.00025921312,0.00066373305,0.00055424107,0.0009984347,0.0020128991],"category_scores_gemma":[0.00049029716,0.0001949761,0.00044055944,0.00029882384,0.00032473696,0.0004363789,0.00043198158,0.00033957913,0.0004790109],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038575403,0.000023933266,0.0022998175,0.000042550782,0.000011992046,0.00017455738,0.000107124775,0.98509514,0.0068959165,0.0012228277,0.0003879967,0.0036996433],"study_design_scores_gemma":[0.0000068848794,0.00001854963,0.00083643635,0.000004708487,0.000005456843,0.000029688,0.00003806736,0.99753296,0.000738805,0.0003149138,0.0004676807,0.000005726193],"about_ca_topic_score_codex":0.009795247,"about_ca_topic_score_gemma":0.005778668,"teacher_disagreement_score":0.009795247,"about_ca_system_score_codex":0.00044316103,"about_ca_system_score_gemma":0.00047568514,"threshold_uncertainty_score":0.019476473},"labels":[],"label_agreement":null},{"id":"W2968068480","doi":"10.1139/cgj-2019-0131","title":"Cone penetration test (CPT)-based subsurface soil classification and zonation in two-dimensional vertical cross section using Bayesian compressive sampling","year":2019,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":81,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"City University of Hong Kong","keywords":"Cone penetration test; Geology; Horizontal and vertical; Interpolation (computer graphics); Sampling (signal processing); Soil science; Geotechnical engineering; Geodesy; Computer science; Detector; Artificial intelligence","score_opus":0.02818178289559436,"score_gpt":0.29381345354264177,"score_spread":0.2656316706470474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968068480","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05050803,0.00007246861,0.9475607,0.000027411708,0.000014513709,0.000071151575,0.0002366105,0.0005765729,0.0009325742],"genre_scores_gemma":[0.42684975,0.00019509852,0.5710159,0.00003713878,0.000020293646,0.00014710036,0.0007853018,0.00006993216,0.00087948615],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996427,0.000060679395,0.000018866673,0.000085376196,0.00016113937,0.000031292977],"domain_scores_gemma":[0.9992254,0.00021182706,0.00015444866,0.00006473867,0.00030131775,0.000042142172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035908955,0.00076401385,0.00043946508,0.0015719682,0.00020202021,0.0004821148,0.0005990489,0.00034707075,0.00071451097],"category_scores_gemma":[0.0013763987,0.0002922818,0.00031387908,0.0012436528,0.0003206744,0.00059616426,0.0006303654,0.00042572364,0.00029594806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003013712,0.00022519616,0.030060029,0.00028437696,0.0000649289,0.00025366797,0.00027719277,0.15870826,0.120230384,0.0033458746,0.0015527625,0.68469596],"study_design_scores_gemma":[0.0000112929565,0.00006456628,0.008841929,0.00001566168,0.000012151827,0.00016617573,0.000053190914,0.97525114,0.013809074,0.0007612568,0.00097609905,0.00003750816],"about_ca_topic_score_codex":0.00625044,"about_ca_topic_score_gemma":0.011681983,"teacher_disagreement_score":0.00625044,"about_ca_system_score_codex":0.0002736533,"about_ca_system_score_gemma":0.00071069103,"threshold_uncertainty_score":0.012428105},"labels":[],"label_agreement":null},{"id":"W2970652597","doi":"10.1007/s10064-019-01607-x","title":"Investigation of optimum sample shape for the Luong core tension test","year":2019,"lang":"en","type":"article","venue":"Bulletin of Engineering Geology and the Environment","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Ultimate tensile strength; Clamping; Tension (geology); Materials science; Tensile testing; Cylinder; Core (optical fiber); Composite material; Compressive strength; Inner core; Stress (linguistics); Structural engineering; Cylinder stress; Mathematics; Mechanical engineering; Geometry; Engineering","score_opus":0.010552345823168559,"score_gpt":0.18431159277915884,"score_spread":0.1737592469559903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970652597","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9499281,0.0006022372,0.04583041,0.00013713313,0.00007683175,0.000102233236,0.0001974721,0.00028979994,0.0028358486],"genre_scores_gemma":[0.9806608,0.00012793006,0.018195756,0.000035525776,0.000012690129,0.00003728264,0.00011684234,0.00006459198,0.00074845453],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994267,0.000084938976,0.0000318264,0.00010709588,0.0002917352,0.000057639943],"domain_scores_gemma":[0.9983432,0.00040697624,0.00015946555,0.00019900715,0.0007895981,0.000101658996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010673262,0.00041190718,0.00038245707,0.0004264312,0.0004113992,0.00048068725,0.00067362917,0.00083747815,0.0015891484],"category_scores_gemma":[0.0021059336,0.00029922527,0.00022105864,0.00032751999,0.00039037122,0.0006145809,0.00042203147,0.00038525258,0.00040918836],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050929864,0.00006977019,0.003418997,0.00010635782,0.0000069758444,0.00015702171,0.00011795179,0.00104169,0.9801293,0.00042291277,0.0002616915,0.013758076],"study_design_scores_gemma":[0.00003940553,0.0008473945,0.015777795,0.000015556627,0.00003385711,0.0002716965,0.00023197364,0.016774189,0.96364444,0.00017689056,0.002161729,0.000025095333],"about_ca_topic_score_codex":0.0006230779,"about_ca_topic_score_gemma":0.0023182726,"teacher_disagreement_score":0.0015891484,"about_ca_system_score_codex":0.00024439866,"about_ca_system_score_gemma":0.00048554514,"threshold_uncertainty_score":0.0056446195},"labels":[],"label_agreement":null},{"id":"W2973452065","doi":"10.3390/rs11182180","title":"Dip Filter and Random Noise Suppression for GPR B-Scan Data Based on a Hybrid Method in f - x Domain","year":2019,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Department of Science and Technology of Jilin Province; Education Department of Jilin Province; National Key Research and Development Program of China; China Scholarship Council","keywords":"Ground-penetrating radar; Filter (signal processing); Noise (video); Geology; Computer science; Algorithm; Domain (mathematical analysis); Remote sensing; Acoustics; Radar; Physics; Mathematics; Artificial intelligence; Telecommunications; Computer vision; Mathematical analysis","score_opus":0.02448827178075945,"score_gpt":0.29410455420909215,"score_spread":0.2696162824283327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973452065","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012679905,0.00012796506,0.986401,0.00004328088,0.000021225793,0.00001972194,0.00002879133,0.00021773239,0.00046024635],"genre_scores_gemma":[0.16042842,0.00046629916,0.83596075,0.00011074445,0.00005583375,0.00008998259,0.00030748945,0.000098920646,0.0024814764],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996253,0.00006531003,0.000026145608,0.000080080594,0.00017342054,0.000029777719],"domain_scores_gemma":[0.9997023,0.00009176319,0.000039231567,0.000051820254,0.000094250856,0.000020663256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005354679,0.0006154654,0.00042928234,0.00074344705,0.00025808834,0.00058671227,0.00059689884,0.00066724356,0.0011379129],"category_scores_gemma":[0.0010427003,0.00023194656,0.00075861544,0.00072234916,0.00037892876,0.00090364687,0.0007639279,0.0007094615,0.0004925292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044461357,0.00019645334,0.003085431,0.00032351678,0.00012386861,0.00026144052,0.0002488296,0.12409116,0.15687825,0.017051678,0.002151138,0.69514364],"study_design_scores_gemma":[0.00002022832,0.00007859695,0.0010024098,0.000009966594,0.000022105614,0.00018943934,0.00003288159,0.98032355,0.01491893,0.0013268335,0.002048448,0.000026598022],"about_ca_topic_score_codex":0.0017614865,"about_ca_topic_score_gemma":0.0016822201,"teacher_disagreement_score":0.0017614865,"about_ca_system_score_codex":0.0002285398,"about_ca_system_score_gemma":0.00050340826,"threshold_uncertainty_score":0.0038067102},"labels":[],"label_agreement":null},{"id":"W2979730355","doi":"10.36487/acg_rep/1925_03_sun","title":"A new paradigm in ground support monitoring through ultrasonic monitoring of clusters of rockbolts","year":2019,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"IAMGOLD; Goldcorp; Barrick Gold Corporation","keywords":"Microseism; Deformation monitoring; Engineering; Mining engineering; Environmental science; Civil engineering; Geology; Deformation (meteorology)","score_opus":0.019934799563800284,"score_gpt":0.27790612369404927,"score_spread":0.257971324130249,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979730355","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.082610525,0.011608834,0.8856992,0.0039365073,0.0004249385,0.0001592046,0.00052935316,0.0014259581,0.013605427],"genre_scores_gemma":[0.530076,0.0070469864,0.45153704,0.0010670616,0.00071162666,0.0002499365,0.00052874023,0.00015607919,0.0086265765],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988003,0.0001747929,0.00003461634,0.00047224294,0.00044841645,0.000069597794],"domain_scores_gemma":[0.9982168,0.00048523923,0.0002378118,0.00036828537,0.0005276453,0.00016429018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009445363,0.0005587523,0.0007334932,0.0012682322,0.0003465477,0.0012794512,0.0020421136,0.0012139012,0.001306246],"category_scores_gemma":[0.0017057477,0.0003628714,0.0003446483,0.0016202813,0.0010495901,0.0029023767,0.0014296671,0.0014336748,0.00066017243],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004798217,0.00025037504,0.030259134,0.0010923196,0.00013971028,0.00048428745,0.0016962354,0.022726653,0.18636152,0.03387065,0.008696697,0.7139427],"study_design_scores_gemma":[0.00016830573,0.0026816719,0.07423639,0.0008302711,0.0004013746,0.0036584542,0.0045658513,0.41339296,0.11203498,0.11981483,0.26773298,0.00048192655],"about_ca_topic_score_codex":0.0022366012,"about_ca_topic_score_gemma":0.00297306,"teacher_disagreement_score":0.0022366012,"about_ca_system_score_codex":0.0004933573,"about_ca_system_score_gemma":0.0005352813,"threshold_uncertainty_score":0.0049952865},"labels":[],"label_agreement":null},{"id":"W2980051132","doi":"10.1190/geo2018-0881.1","title":"RETRACTED: Identification and delineation of potash deposits in Saskatchewan, Canada using pulsed radar technology","year":2019,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":11,"is_retracted":true,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"PotashCorp (Canada); Hog Administrative Marketing Services (Canada)","funders":"","keywords":"Potash; Evaporite; Geology; Halite; Exploration geophysics; Mining engineering; Geophysics; Geochemistry; Sedimentary rock; Paleontology; Structural basin","score_opus":0.005079519701372083,"score_gpt":0.2074787325832431,"score_spread":0.20239921288187102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980051132","genre_codex":"editorial","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030236288,0.003844514,0.0014000111,0.10222461,0.8572078,0.0001677806,0.0034003614,0.00092864124,0.02780261],"genre_scores_gemma":[0.03339467,0.012363475,0.0035566182,0.06274335,0.21732803,0.0001980101,0.0056262366,0.0025709188,0.66221875],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99698144,0.00018559833,0.00028201946,0.00031112655,0.0018948632,0.0003449932],"domain_scores_gemma":[0.97301435,0.002018253,0.00058710994,0.0007422331,0.02224788,0.0013900418],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0025979276,0.0012433146,0.00071624847,0.002830257,0.004574101,0.0044768685,0.0034088595,0.004627027,0.037805732],"category_scores_gemma":[0.017051341,0.0005199272,0.0006166732,0.0019004206,0.0021577617,0.00172145,0.0019567981,0.0065036067,0.01819267],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022590186,0.000004662095,0.00029218278,0.00009064228,0.000005504618,0.00023409646,0.00010134903,0.000037348782,0.00032392895,0.00019721246,0.9901282,0.0085623255],"study_design_scores_gemma":[0.0000074147088,0.000010207202,0.0021163917,0.00016498839,0.000008082635,0.00014459134,0.0002901671,0.000112421454,0.00037149002,0.00013193242,0.9966215,0.0000208754],"about_ca_topic_score_codex":0.4380734,"about_ca_topic_score_gemma":0.5016408,"teacher_disagreement_score":0.99537295,"about_ca_system_score_codex":0.010171511,"about_ca_system_score_gemma":0.019876476,"threshold_uncertainty_score":0.871047},"labels":[],"label_agreement":null},{"id":"W2980517336","doi":"10.21008/j.1897-4007.2017.23.02","title":"CHBDC buried structures: challenges in keeping pace with practice and innovation","year":2017,"lang":"pl","type":"article","venue":"Archiwum Instytutu Inżynierii Lądowej","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Pace; Business; Process management; Engineering; Geography","score_opus":0.05746994766348773,"score_gpt":0.325406993094163,"score_spread":0.26793704543067526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980517336","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21236536,0.017940061,0.20505455,0.35503352,0.0037809445,0.000776933,0.0004247219,0.0016476173,0.20297632],"genre_scores_gemma":[0.7739554,0.0063413987,0.16613281,0.008602054,0.00080381316,0.0004442233,0.00034132373,0.00037325674,0.043005615],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9889831,0.0033164287,0.00044096183,0.0008310644,0.0043640155,0.002064425],"domain_scores_gemma":[0.9455432,0.019230595,0.0024875393,0.008461172,0.016084136,0.00819334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.021162363,0.00037945816,0.00053156767,0.001575593,0.003777349,0.016626505,0.0042262482,0.0059045358,0.011977632],"category_scores_gemma":[0.039161924,0.00027170297,0.0003279868,0.0022052694,0.006620148,0.01148207,0.009125137,0.005256442,0.004412467],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011063226,0.00050222164,0.007613799,0.000848033,0.000033024044,0.00036668056,0.008039589,0.0043277657,0.0033987542,0.311867,0.05030099,0.61259145],"study_design_scores_gemma":[0.00006767347,0.00040757426,0.0088513205,0.0016037448,0.000020529194,0.000514145,0.036545232,0.010852996,0.0029483235,0.2616012,0.67648643,0.00010081174],"about_ca_topic_score_codex":0.0061322097,"about_ca_topic_score_gemma":0.009697173,"teacher_disagreement_score":0.021162363,"about_ca_system_score_codex":0.006244167,"about_ca_system_score_gemma":0.023871418,"threshold_uncertainty_score":0.11191863},"labels":[],"label_agreement":null},{"id":"W2981575229","doi":"10.4095/291897","title":"Downhole geophysical data from boreholes along the Spiritwood buried valley aquifer near Cartwright, Killarney, and southeast of Brandon, Manitoba","year":2012,"lang":"en","type":"report","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Borehole; Aquifer; Geology; Geophysics; Archaeology; Groundwater; Geotechnical engineering; Geography","score_opus":0.06796835196937871,"score_gpt":0.28518714473247236,"score_spread":0.21721879276309364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981575229","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16083775,0.000042261476,0.0010597872,0.000116456984,0.000020667589,0.0002793229,0.8127227,0.00080646056,0.024114646],"genre_scores_gemma":[0.22515768,0.0002359421,0.005130502,0.00007054487,0.000017045344,0.00035478635,0.72050923,0.00035522023,0.048169065],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99972683,0.000011121885,0.000020411338,0.00003195739,0.00017022896,0.00003947611],"domain_scores_gemma":[0.9981061,0.00021843008,0.00014806821,0.00012969154,0.0012751957,0.00012263455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017486316,0.0003203835,0.00014580404,0.0028239822,0.00052818604,0.00040661573,0.0007051267,0.00017501395,0.027904198],"category_scores_gemma":[0.0012084512,0.00025349887,0.00010912456,0.005372298,0.00020881458,0.00030697536,0.00046563122,0.0001601486,0.006109239],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066537847,0.0003477987,0.37972617,0.0007419659,0.000045185254,0.0013037303,0.0043488774,0.0027991154,0.01458284,0.0008773481,0.44053936,0.1540222],"study_design_scores_gemma":[0.00006290301,0.00004968991,0.8976375,0.00008624446,0.00001669868,0.000101197606,0.0025478662,0.0010051321,0.0033906214,0.00010552762,0.09497182,0.00002489247],"about_ca_topic_score_codex":0.7130561,"about_ca_topic_score_gemma":0.9140394,"teacher_disagreement_score":0.2869439,"about_ca_system_score_codex":0.001668254,"about_ca_system_score_gemma":0.0040084883,"threshold_uncertainty_score":0.5772675},"labels":[],"label_agreement":null},{"id":"W2981742610","doi":"10.4095/291534","title":"Borehole geophysical logging in the Flin Flon mining camp","year":2012,"lang":"en","type":"report","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Borehole; Logging; Geology; Geophysics; Seismology; Geotechnical engineering; Geography; Forestry","score_opus":0.0585572582543495,"score_gpt":0.3111577186792599,"score_spread":0.2526004604249104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981742610","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.978744,0.00009621308,0.00081395503,0.00077642285,0.000060548282,0.00013941858,0.0030661297,0.00009452111,0.016208902],"genre_scores_gemma":[0.94977784,0.0002962107,0.0037186348,0.00011646,0.00004115019,0.00009520721,0.0031575928,0.000029432056,0.04276753],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99964345,0.000030804353,0.000014163563,0.000054537926,0.0001749593,0.00008204096],"domain_scores_gemma":[0.9993026,0.000071599825,0.00009983023,0.000051529973,0.0003468341,0.00012763987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030484018,0.00021123703,0.00013797134,0.0012570807,0.0015650734,0.0004504828,0.0005630634,0.0005531404,0.0025192315],"category_scores_gemma":[0.00081446674,0.0001922033,0.000099550925,0.0010837617,0.0004209653,0.0006764602,0.0007113842,0.0004614514,0.00041080077],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00087019237,0.0010307108,0.7345482,0.00021685852,0.000031894124,0.0066108606,0.00795569,0.0029016624,0.017489448,0.0013034593,0.04185229,0.18518877],"study_design_scores_gemma":[0.000018936853,0.00023169644,0.9667928,0.00005301079,0.0000083394525,0.00063027197,0.00661306,0.0022768562,0.0023884142,0.00022481647,0.020742651,0.000019124474],"about_ca_topic_score_codex":0.15981999,"about_ca_topic_score_gemma":0.5937046,"teacher_disagreement_score":0.84018004,"about_ca_system_score_codex":0.0012149955,"about_ca_system_score_gemma":0.0029443984,"threshold_uncertainty_score":0.31777948},"labels":[],"label_agreement":null},{"id":"W2981924931","doi":"10.4095/306173","title":"Downhole geophysical data in a shallow bedrock aquifer near Sussex, New Brunswick","year":2017,"lang":"en","type":"report","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Bedrock; Geology; Aquifer; Hydrology (agriculture); Geophysics; Geomorphology; Groundwater; Geotechnical engineering","score_opus":0.07625770284506693,"score_gpt":0.3473863415250376,"score_spread":0.27112863867997067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981924931","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98756975,0.000056608413,0.00035903332,0.00009987516,0.00000900146,0.000041398973,0.008065514,0.000044452412,0.0037544123],"genre_scores_gemma":[0.98037547,0.00019505403,0.001715919,0.000049476657,0.0000049539995,0.00005328881,0.010217727,0.00002205778,0.0073661115],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99967897,0.000019229721,0.000032381733,0.00004884434,0.00014090177,0.00007964541],"domain_scores_gemma":[0.9993162,0.0000700288,0.00006278221,0.0000664829,0.0004105092,0.000074002615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025342032,0.00022925105,0.0002653464,0.0012609246,0.0008021696,0.00065449916,0.0007238611,0.0004036604,0.0020081305],"category_scores_gemma":[0.0007544923,0.00021072729,0.00014737879,0.00258982,0.00043845148,0.00045755686,0.00066862203,0.00025573053,0.0004342404],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000429395,0.00032436804,0.90112174,0.00022978731,0.0000611446,0.0029650046,0.0045455126,0.007983571,0.01995862,0.0009052841,0.0118819885,0.04959357],"study_design_scores_gemma":[0.00002517522,0.000026405703,0.9842897,0.00003169416,0.000017166632,0.00013006917,0.0029455223,0.0033511673,0.002302195,0.00008514636,0.006769515,0.000026352547],"about_ca_topic_score_codex":0.85771704,"about_ca_topic_score_gemma":0.96808034,"teacher_disagreement_score":0.14228296,"about_ca_system_score_codex":0.0026322347,"about_ca_system_score_gemma":0.005597954,"threshold_uncertainty_score":0.28624177},"labels":[],"label_agreement":null},{"id":"W2982011518","doi":"10.4095/295179","title":"Shallow drilling and piezometer installations near Killarney, Manitoba for hydrogeological investigations of the Spiritwood Buried Valley Aquifer","year":2014,"lang":"en","type":"report","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Piezometer; Borehole; Drilling; Geology; Aquifer; Geological survey; Hydrogeology; Groundwater; Hydrology (agriculture); Geotechnical engineering; Engineering","score_opus":0.048863451191708665,"score_gpt":0.27071458470765797,"score_spread":0.22185113351594932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982011518","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6391493,0.00032319382,0.011146482,0.00054881384,0.00007843875,0.0019762614,0.25901955,0.0022055905,0.08555242],"genre_scores_gemma":[0.62434995,0.0008190789,0.057589527,0.00040778046,0.000037598158,0.0021493796,0.15551029,0.00071629346,0.15842013],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995104,0.000028326314,0.000026172787,0.00008161453,0.00028246373,0.000070986825],"domain_scores_gemma":[0.9978243,0.00027788454,0.00023067446,0.0002083674,0.0012044812,0.00025428672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000448949,0.00039407867,0.00019290576,0.0027941428,0.0015608699,0.0005892818,0.0010451424,0.00027098792,0.02709897],"category_scores_gemma":[0.0016364744,0.0005526343,0.00017958242,0.0051483936,0.00040350886,0.00044829273,0.00088376936,0.00027598732,0.0034359184],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00095184863,0.00046485124,0.4705087,0.00080082094,0.00006496853,0.0017776202,0.011139413,0.0025810553,0.042724855,0.0014288387,0.12121851,0.3463386],"study_design_scores_gemma":[0.000075151715,0.00015035467,0.90110546,0.00013052009,0.000027021739,0.00016314357,0.005844787,0.0010586014,0.0043711932,0.00024013437,0.08678944,0.00004407118],"about_ca_topic_score_codex":0.71257657,"about_ca_topic_score_gemma":0.9409902,"teacher_disagreement_score":0.28742343,"about_ca_system_score_codex":0.0049592657,"about_ca_system_score_gemma":0.00870591,"threshold_uncertainty_score":0.5782322},"labels":[],"label_agreement":null},{"id":"W2982029350","doi":"10.4095/289671","title":"Rock-Eval/TOC data for selected samples from northeast British Columbia boreholes (map areas 94-N to 94-O)","year":2012,"lang":"en","type":"report","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Borehole; Geology; Archaeology; Geography; Cartography; Paleontology","score_opus":0.08053860305145451,"score_gpt":0.30379794214461986,"score_spread":0.22325933909316537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982029350","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5409136,0.00022790732,0.0012244218,0.00019208548,0.00003627122,0.00042576154,0.41807052,0.0005100091,0.038399424],"genre_scores_gemma":[0.6497987,0.00065815204,0.008752389,0.00014391658,0.000018855832,0.00065419584,0.27637625,0.00025521027,0.06334244],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99938524,0.000017281738,0.00004008636,0.00006877994,0.0003817114,0.000106974054],"domain_scores_gemma":[0.99803597,0.00005708414,0.00018405348,0.000081662176,0.0015357177,0.0001055047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033623993,0.0005596389,0.00032075634,0.0042295465,0.001431235,0.000601315,0.0009651948,0.00034116718,0.0058037755],"category_scores_gemma":[0.0009323779,0.00036043196,0.00022626926,0.008310923,0.00024360258,0.00040528504,0.00052330963,0.0003944412,0.0017956558],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004166282,0.0002807781,0.7647923,0.00047541515,0.00014519712,0.0006413445,0.0011881113,0.0033394224,0.010754414,0.00034963866,0.13915545,0.0784612],"study_design_scores_gemma":[0.000022305943,0.0000093896615,0.978571,0.000029712184,0.000027593907,0.000042980744,0.00067775766,0.0009938991,0.002772801,0.00003403937,0.016798325,0.000020253932],"about_ca_topic_score_codex":0.9605324,"about_ca_topic_score_gemma":0.9897878,"teacher_disagreement_score":0.039467573,"about_ca_system_score_codex":0.0042955643,"about_ca_system_score_gemma":0.007927082,"threshold_uncertainty_score":0.07939994},"labels":[],"label_agreement":null},{"id":"W2982029728","doi":"10.4095/214280","title":"Rock-Eval/TOC results from 11 northern British Columbia boreholes","year":2003,"lang":"en","type":"report","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Borehole; Geology; Archaeology; Mining engineering; Geochemistry; Hydrology (agriculture); Geography; Paleontology; Geotechnical engineering","score_opus":0.024220541815912988,"score_gpt":0.2553869672913181,"score_spread":0.2311664254754051,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982029728","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.920112,0.00025361456,0.0026196677,0.00022351288,0.0000533566,0.00020724759,0.04694693,0.0018293845,0.027754227],"genre_scores_gemma":[0.9359211,0.00041399358,0.010918794,0.00011449592,0.000028054741,0.00019585245,0.029699154,0.00047874227,0.022229977],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992649,0.000026664788,0.000034031742,0.00009185417,0.0004398266,0.00014274314],"domain_scores_gemma":[0.9985018,0.00008509514,0.0001063232,0.00011435023,0.0010878361,0.00010464436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045951304,0.00071621465,0.0005663311,0.00261247,0.002125222,0.001213703,0.0011191505,0.00062180986,0.0041910545],"category_scores_gemma":[0.0012651266,0.000458079,0.0003290087,0.005110441,0.00044592962,0.0008743773,0.00086886354,0.0005181985,0.0010661641],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001495131,0.00085759413,0.6242333,0.00067211053,0.0003924072,0.0017652247,0.0027077065,0.041310083,0.030468138,0.0010278643,0.08092785,0.21414267],"study_design_scores_gemma":[0.00027943408,0.00005973607,0.9431312,0.00008256205,0.0001984832,0.00013219801,0.0016074503,0.023228686,0.012189645,0.00027249934,0.018722275,0.00009579795],"about_ca_topic_score_codex":0.9100492,"about_ca_topic_score_gemma":0.974613,"teacher_disagreement_score":0.0899508,"about_ca_system_score_codex":0.0040457905,"about_ca_system_score_gemma":0.0077892845,"threshold_uncertainty_score":0.18096101},"labels":[],"label_agreement":null},{"id":"W2982225533","doi":"10.4095/223264","title":"Residual total magnetic field, Jennings River aeromagnetic survey, British Columbia, Ash Creek 104 O/07, British Columbia","year":2007,"lang":"en","type":"report","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geology; Residual; Aeromagnetic survey; River valley; Hydrology (agriculture); Archaeology; Geochemistry; Geography; Geotechnical engineering; Magnetic field","score_opus":0.017721838296382658,"score_gpt":0.2507963535581344,"score_spread":0.23307451526175174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982225533","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25685763,0.003455703,0.0015352309,0.0024252813,0.00029855053,0.00092366984,0.55665237,0.0009240447,0.17692754],"genre_scores_gemma":[0.2766471,0.0041249706,0.005103914,0.0006975668,0.0000804423,0.000482427,0.16315936,0.0004107457,0.5492935],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9991386,0.000057382586,0.00005632242,0.000116513715,0.00046753953,0.00016368837],"domain_scores_gemma":[0.996445,0.00016049191,0.00012259764,0.00009935771,0.0028857074,0.00028697896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005948288,0.00070614676,0.0005892726,0.0039950986,0.0042079743,0.0012610478,0.0020685005,0.0006416814,0.020722726],"category_scores_gemma":[0.0019757007,0.00056765403,0.0002828249,0.0061272983,0.0005147608,0.00057854125,0.0007385246,0.0009847858,0.0059212768],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025781966,0.00026601224,0.2835996,0.0006441034,0.00014736723,0.0006292671,0.0013554752,0.002581277,0.0015899321,0.0012526381,0.58802795,0.11964851],"study_design_scores_gemma":[0.000076977296,0.00002951611,0.88216215,0.00027231858,0.00006514562,0.00015114546,0.0025471002,0.0017933355,0.0010359015,0.00016787015,0.11163243,0.000066062814],"about_ca_topic_score_codex":0.9960497,"about_ca_topic_score_gemma":0.9988689,"teacher_disagreement_score":0.020722726,"about_ca_system_score_codex":0.016182642,"about_ca_system_score_gemma":0.038793124,"threshold_uncertainty_score":0.11741388},"labels":[],"label_agreement":null},{"id":"W2982260598","doi":"10.4095/299062","title":"Détermination en laboratoire de la conductivité hydraulique déchantillons provenant du Comté de Simcoe, Ontario","year":2016,"lang":"fr","type":"report","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geology","score_opus":0.01168993605600681,"score_gpt":0.28182408506203943,"score_spread":0.2701341490060326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982260598","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98512274,0.00019728519,0.002550624,0.00009046753,0.000014038524,0.000089420726,0.0012490713,0.00006300462,0.010623189],"genre_scores_gemma":[0.95309985,0.00040926915,0.006146967,0.00006187676,0.000011755899,0.000087335146,0.00144534,0.00004442481,0.03869327],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989104,0.000034573735,0.000017867813,0.00018450574,0.0006776471,0.00017497079],"domain_scores_gemma":[0.9992919,0.00006496044,0.00006202607,0.000016983608,0.00049301353,0.00007097225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036709823,0.00063097244,0.00039524402,0.0010824575,0.0031285654,0.0011180451,0.0006051086,0.0005561339,0.0021047075],"category_scores_gemma":[0.0007209274,0.0002544658,0.00027434478,0.0013472999,0.0007538929,0.0002820427,0.00042135935,0.00042587667,0.00053708977],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039511913,0.00021434194,0.61333275,0.00022771778,0.00008557752,0.0011141924,0.013620994,0.0020679447,0.29200014,0.0011934529,0.0028177835,0.07292993],"study_design_scores_gemma":[0.000021485248,0.00019940532,0.9265175,0.000034338762,0.000025680556,0.00019473687,0.0036962281,0.0019259966,0.04714729,0.0000782086,0.02013449,0.000024756977],"about_ca_topic_score_codex":0.92414355,"about_ca_topic_score_gemma":0.9713183,"teacher_disagreement_score":0.07585645,"about_ca_system_score_codex":0.009912046,"about_ca_system_score_gemma":0.011040914,"threshold_uncertainty_score":0.15260631},"labels":[],"label_agreement":null},{"id":"W2986184875","doi":"10.1002/hyp.13646","title":"Evaluating soil moisture estimation from ground‐penetrating radar hyperbola fitting with respect to a systematic time‐domain reflectometry data collection in a boreal podzolic agricultural field","year":2019,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; Memorial University of Newfoundland","funders":"Research and Development Corporation of Newfoundland and Labrador","keywords":"Hyperbola; Ground-penetrating radar; Reflectometry; Water content; Radar; Remote sensing; Geology; Soil science; Mathematics; Time domain; Geotechnical engineering; Geometry; Engineering; Computer science","score_opus":0.035045462362765005,"score_gpt":0.31238835940357806,"score_spread":0.27734289704081305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2986184875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9871154,0.000036416594,0.012510753,0.000006117245,0.000004594425,0.000011876868,0.000049102073,0.0001360849,0.00012963178],"genre_scores_gemma":[0.992094,0.000026932012,0.007702615,0.000003463979,0.0000016229817,0.0000068336535,0.00007449049,0.0000107443675,0.00007922593],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997657,0.000057653226,0.000012849093,0.00007268407,0.00006473478,0.000026371365],"domain_scores_gemma":[0.99914634,0.0003745696,0.00013666063,0.0000841022,0.00020499545,0.000053346772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007990611,0.0004635535,0.00033798892,0.0006604944,0.00013640965,0.00035877663,0.00035210815,0.00035954273,0.00022673164],"category_scores_gemma":[0.0016394821,0.00015090834,0.0002574015,0.00066256954,0.00017855183,0.00032042502,0.0002204083,0.00017215461,0.000111263456],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014458301,0.0004539386,0.107739225,0.00028275666,0.0001763358,0.0006849198,0.0004909914,0.13179284,0.6032572,0.00014224897,0.00025602788,0.15327775],"study_design_scores_gemma":[0.000062609295,0.0009179804,0.3659894,0.0000148140525,0.00011822586,0.00024437488,0.0003510784,0.5590702,0.072656706,0.000076218224,0.00044503785,0.000053406602],"about_ca_topic_score_codex":0.00422885,"about_ca_topic_score_gemma":0.003893304,"teacher_disagreement_score":0.00422885,"about_ca_system_score_codex":0.000240334,"about_ca_system_score_gemma":0.00018603053,"threshold_uncertainty_score":0.008408487},"labels":[],"label_agreement":null},{"id":"W2990257183","doi":"","title":"Non-Invasive Seismic Methods for Earthquake Site Classification Applied to Ontario Bridge Sites","year":2017,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bridge (graph theory); Geology; Seismology; Seismic microzonation; Forensic engineering; Engineering","score_opus":0.05014831238064022,"score_gpt":0.32224083916850405,"score_spread":0.27209252678786383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990257183","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6109164,0.00065822713,0.3814702,0.00027207148,0.0000761039,0.00014800728,0.0014368477,0.0007001675,0.004321952],"genre_scores_gemma":[0.88480633,0.00042304452,0.10438434,0.000036698842,0.000047769598,0.00009613726,0.0018676346,0.00006618977,0.008271783],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9997217,0.000052513984,0.00001769264,0.000055399792,0.00010931158,0.000043458465],"domain_scores_gemma":[0.998923,0.00043956083,0.00009836686,0.00010172026,0.0003943438,0.000042970343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067167974,0.00059354154,0.00034408623,0.00076403713,0.00041562848,0.0006907643,0.00071613543,0.00038447787,0.0010654184],"category_scores_gemma":[0.0026107298,0.00025087708,0.0002817938,0.00068194047,0.00026248745,0.0004238928,0.0005300397,0.00042128324,0.00048415863],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004890374,0.00026431357,0.067243434,0.00020761418,0.00010717304,0.00023009458,0.0005219955,0.13341498,0.0395299,0.0016635442,0.004369592,0.7519583],"study_design_scores_gemma":[0.000020873375,0.00004299439,0.045088485,0.000013704573,0.000030026087,0.00005564641,0.00021051266,0.94805557,0.004146273,0.0006678744,0.0016484964,0.000019587453],"about_ca_topic_score_codex":0.127548,"about_ca_topic_score_gemma":0.3411501,"teacher_disagreement_score":0.872452,"about_ca_system_score_codex":0.00060309115,"about_ca_system_score_gemma":0.0017299165,"threshold_uncertainty_score":0.25361115},"labels":[],"label_agreement":null},{"id":"W2993783277","doi":"10.3390/heritage2040173","title":"3DGPR for the Non-Destructive Monitoring of Subsurface Weathering of Sandstone Masonry","year":2019,"lang":"en","type":"article","venue":"Heritage","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Queen's University; Queen's University Belfast","keywords":"Masonry; Ground-penetrating radar; Geology; Photogrammetry; Weathering; Transect; Remote sensing; Block (permutation group theory); Radar; Scale (ratio); Feature (linguistics); Geotechnical engineering; Computer science; Geomorphology; Civil engineering; Engineering; Cartography; Geography; Geometry","score_opus":0.012019427538193201,"score_gpt":0.24998359640703818,"score_spread":0.23796416886884497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2993783277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66867465,0.0009823336,0.29411379,0.00015473248,0.00008710935,0.0005189378,0.010206985,0.009120098,0.016141219],"genre_scores_gemma":[0.75030845,0.00041189126,0.23784503,0.00011584376,0.000019497285,0.00031525147,0.004022512,0.00025818587,0.0067033595],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997403,0.000042201784,0.000008119629,0.00006872627,0.00011602498,0.000024530358],"domain_scores_gemma":[0.9997743,0.0000505369,0.00003627035,0.000046340472,0.00006965651,0.00002302972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004519398,0.00038483026,0.00026395306,0.0007907798,0.00021788465,0.00035040535,0.000387449,0.00040183845,0.0024520855],"category_scores_gemma":[0.00044133162,0.00022288617,0.00024262023,0.0008280275,0.00011073139,0.00035200795,0.0005387761,0.0003316398,0.0011691644],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038425624,0.00016643938,0.06502995,0.00041929373,0.00009066273,0.0008147021,0.00039261082,0.0053777704,0.65044236,0.0007498381,0.005556436,0.2705757],"study_design_scores_gemma":[0.00013600824,0.0012485061,0.6035969,0.00019455173,0.00023992633,0.0027025032,0.00061952183,0.13615361,0.1885503,0.0011449793,0.065278076,0.00013517626],"about_ca_topic_score_codex":0.0029381,"about_ca_topic_score_gemma":0.012708102,"teacher_disagreement_score":0.0029381,"about_ca_system_score_codex":0.00015773768,"about_ca_system_score_gemma":0.00025285364,"threshold_uncertainty_score":0.00820303},"labels":[],"label_agreement":null},{"id":"W2996099350","doi":"10.1111/1365-2478.12917","title":"A finite‐element time‐domain forward‐modelling algorithm for transient electromagnetics excited by grounded‐wire sources","year":2019,"lang":"en","type":"article","venue":"Geophysical Prospecting","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Finite element method; Electromagnetics; Time domain; Transient (computer programming); Waveform; Finite-difference time-domain method; Boundary (topology); Geology; Acoustics; Optics; Electronic engineering; Physics; Engineering; Computer science; Electrical engineering; Mathematics; Mathematical analysis; Voltage; Structural engineering","score_opus":0.006743373698429337,"score_gpt":0.2158186136550439,"score_spread":0.20907523995661456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996099350","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0032436382,0.000009465459,0.9951466,0.000017362754,0.000008162398,0.000024010282,0.000016598271,0.0004338404,0.0011002757],"genre_scores_gemma":[0.18182857,0.00006364133,0.8113997,0.000046871788,0.000011351739,0.00030873064,0.00020876327,0.0002772887,0.0058551286],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988234,0.000021574242,0.0000073271176,0.000017598446,0.000058702728,0.000012502371],"domain_scores_gemma":[0.999676,0.00013948907,0.000028371454,0.000025489555,0.0001170725,0.000013607258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038649538,0.0006157004,0.00042770422,0.00029665628,0.000384944,0.0006065935,0.0013235455,0.0008493942,0.00627132],"category_scores_gemma":[0.0008534127,0.00043077263,0.0005299233,0.00023804346,0.00032743564,0.000521266,0.0004992002,0.0006881639,0.0015383147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044221844,0.00003589144,0.00036250296,0.000064593805,0.000018072149,0.00009124279,0.00009907373,0.9209641,0.013598859,0.007847788,0.0009528033,0.05592076],"study_design_scores_gemma":[0.000005341707,0.000007864549,0.000020146803,0.0000032800733,0.0000014982637,0.000009481735,0.000004795377,0.99732363,0.001267396,0.000385637,0.00096820423,0.0000026609014],"about_ca_topic_score_codex":0.0047712014,"about_ca_topic_score_gemma":0.0041229874,"teacher_disagreement_score":0.00627132,"about_ca_system_score_codex":0.0005156121,"about_ca_system_score_gemma":0.0008053048,"threshold_uncertainty_score":0.020979702},"labels":[],"label_agreement":null},{"id":"W2998406975","doi":"10.22564/8simbgf2018.053","title":"Uso de Ground Penetrating Radar para estudo de velocidade de ondas EM na planície costeira da Massambaba, RJ","year":2018,"lang":"pt","type":"article","venue":"Proceedings of the VIII Simpósio Brasileiro e Geofísica","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Remote sensing; Physics; Geology","score_opus":0.03028228548848182,"score_gpt":0.28771355552848327,"score_spread":0.25743127004000144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998406975","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98171324,0.0006040887,0.010713969,0.00010064612,0.000042262913,0.000054184587,0.0002330998,0.00013595619,0.006402532],"genre_scores_gemma":[0.98441654,0.0003061435,0.013478584,0.000018077535,0.000013831491,0.000026244428,0.000102671074,0.000025568015,0.0016124093],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.999652,0.000054385175,0.000018060135,0.00008538838,0.0001440942,0.00004601695],"domain_scores_gemma":[0.9995308,0.0001856392,0.000051593524,0.000040771083,0.0001674365,0.000023856934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005115943,0.00025731,0.00037021487,0.0015338645,0.0005319222,0.00087708584,0.00040594567,0.00046145826,0.0007065628],"category_scores_gemma":[0.0017321208,0.00024362231,0.00023624052,0.0014199818,0.00039267147,0.00055806676,0.00047496657,0.00030107526,0.0002019112],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037876147,0.00018426156,0.31277803,0.0005177014,0.00019348104,0.0017034283,0.0063754986,0.013125758,0.30131269,0.002376035,0.0010831548,0.35997123],"study_design_scores_gemma":[0.000039496845,0.00039612863,0.8715023,0.000102867605,0.00037742374,0.0012738125,0.0059188856,0.05801219,0.045873962,0.0009450332,0.015467624,0.00009024767],"about_ca_topic_score_codex":0.03188367,"about_ca_topic_score_gemma":0.069973335,"teacher_disagreement_score":0.03188367,"about_ca_system_score_codex":0.00038324393,"about_ca_system_score_gemma":0.0006737467,"threshold_uncertainty_score":0.063396156},"labels":[],"label_agreement":null},{"id":"W2998557823","doi":"10.1061/(asce)gm.1943-5622.0001599","title":"Shape Characterization of Fragmented Sand Grains via X-Ray Computed Tomography Imaging","year":2020,"lang":"en","type":"article","venue":"International Journal of Geomechanics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus","funders":"","keywords":"Sphericity; Convexity; Materials science; Elongation; Flatness (cosmology); Grain size; Geometry; Shape factor; Composite material; Mineralogy; Mathematics; Biological system; Geology; Ultimate tensile strength; Physics","score_opus":0.009627248959095508,"score_gpt":0.23149889847607485,"score_spread":0.22187164951697935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998557823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9729902,0.00017163201,0.02493199,0.00003234609,0.0000054274506,0.000051616895,0.000493539,0.00024328868,0.0010799881],"genre_scores_gemma":[0.98535764,0.00011060039,0.013532098,0.000016352951,0.000003038529,0.000019833813,0.0004427565,0.000030744413,0.0004869031],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998275,0.0000099189465,0.00001068922,0.000042354895,0.000080269456,0.000029297335],"domain_scores_gemma":[0.99961567,0.00007950878,0.00009030274,0.000056824963,0.00013182082,0.00002581698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002140822,0.00031627525,0.00023080537,0.0016177571,0.00021958104,0.0007178827,0.00039110729,0.00035827165,0.00083035324],"category_scores_gemma":[0.00069574115,0.00025759742,0.00023975338,0.0008791404,0.00044881416,0.00034068065,0.00034669542,0.000245775,0.00018085263],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047936637,0.00006436504,0.040307373,0.00019795487,0.000042291285,0.00087877765,0.0005832745,0.018740114,0.8986386,0.0006278415,0.0002799177,0.039160058],"study_design_scores_gemma":[0.00004034905,0.00028349296,0.37688836,0.00003538257,0.00009195106,0.0017518181,0.000880647,0.2119335,0.40561876,0.00068675634,0.001673581,0.00011538218],"about_ca_topic_score_codex":0.0046774847,"about_ca_topic_score_gemma":0.0070412057,"teacher_disagreement_score":0.0046774847,"about_ca_system_score_codex":0.00033876978,"about_ca_system_score_gemma":0.00026194222,"threshold_uncertainty_score":0.00930047},"labels":[],"label_agreement":null},{"id":"W2999714087","doi":"10.1007/s00024-020-02419-x","title":"Improvement of the Efficiency of Time-Domain Electromagnetic Measurement","year":2020,"lang":"en","type":"article","venue":"Pure and Applied Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Borehole; Time domain; Waveform; Pulse (music); Series (stratigraphy); Acoustics; Frequency domain; Square (algebra); Geology; Computer science; Optics; Physics; Mathematics; Geotechnical engineering; Telecommunications; Geometry","score_opus":0.007938514304581827,"score_gpt":0.18038145630056818,"score_spread":0.17244294199598634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999714087","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020797228,0.0008735946,0.97055346,0.00027187332,0.000116397765,0.000044297107,0.00020959052,0.0022963665,0.0048371726],"genre_scores_gemma":[0.3448932,0.0012170486,0.6430327,0.00035094479,0.00022227688,0.00009072935,0.001047393,0.0005726638,0.008573037],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99834645,0.00046296604,0.000070666276,0.00035588257,0.00067418936,0.00008978131],"domain_scores_gemma":[0.9958534,0.0017693861,0.00014074269,0.0011106818,0.0010684449,0.000057300098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012428494,0.0012224405,0.0009234643,0.0011371889,0.00034780987,0.001168641,0.001328598,0.0011895836,0.0075410865],"category_scores_gemma":[0.004496053,0.0003632554,0.0005285955,0.0015490885,0.00037100026,0.002426809,0.0012073421,0.0008065692,0.005301379],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010084512,0.00021447321,0.0038957256,0.0006006148,0.00013788514,0.00017229414,0.00015862295,0.011565826,0.30757695,0.009357425,0.00464564,0.66066605],"study_design_scores_gemma":[0.00011167378,0.00029334732,0.0111267315,0.00008393481,0.00025333464,0.0014613034,0.00012482477,0.4304548,0.51075697,0.0063590435,0.038862016,0.00011201381],"about_ca_topic_score_codex":0.0007330484,"about_ca_topic_score_gemma":0.0006801912,"teacher_disagreement_score":0.0075410865,"about_ca_system_score_codex":0.000311616,"about_ca_system_score_gemma":0.00055208756,"threshold_uncertainty_score":0.025227487},"labels":[],"label_agreement":null},{"id":"W3000169813","doi":"10.1190/iwmg2019_04.1","title":"Simultaneous source deblending using a deep residual network","year":2020,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Residual; Computer science; Algorithm","score_opus":0.025086658844192415,"score_gpt":0.2515974664599227,"score_spread":0.22651080761573028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000169813","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18991159,0.00046127843,0.8045527,0.00027081856,0.0000578796,0.00004211019,0.0001185087,0.001740215,0.0028449672],"genre_scores_gemma":[0.7811781,0.00018269563,0.21354772,0.00012799416,0.000024537947,0.000027646276,0.00029863234,0.0001054084,0.004507269],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982965,0.000016448887,0.000006474765,0.000054697535,0.00006513265,0.000027652934],"domain_scores_gemma":[0.9997538,0.0000659066,0.00003593731,0.000058076956,0.00007099591,0.000015230362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052585616,0.0006429042,0.00039040452,0.00037822267,0.0002183426,0.00037479846,0.0008316202,0.0005953075,0.0007957182],"category_scores_gemma":[0.0010145487,0.00033201373,0.00042399488,0.0003288522,0.0004745113,0.0008340302,0.00083319854,0.0007591311,0.0002416575],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035455613,0.00009002833,0.0044615823,0.000094488,0.00011917402,0.00027020107,0.00018607768,0.5640109,0.10305741,0.0033681467,0.0014482848,0.32253912],"study_design_scores_gemma":[0.000005303363,0.00004092753,0.0005986109,0.0000054409415,0.000012510232,0.000043449578,0.000012714393,0.9830589,0.014624223,0.0008623549,0.00072745205,0.000008072639],"about_ca_topic_score_codex":0.007734349,"about_ca_topic_score_gemma":0.0133861415,"teacher_disagreement_score":0.007734349,"about_ca_system_score_codex":0.00060585997,"about_ca_system_score_gemma":0.00061924936,"threshold_uncertainty_score":0.015378654},"labels":[],"label_agreement":null},{"id":"W3000174550","doi":"10.1061/9780784481653.078","title":"Cast Iron Trunk Watermains in the City of Toronto","year":2018,"lang":"en","type":"article","venue":"Pipelines 2018","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Trunk; Cast iron; Computer science; History; Archaeology","score_opus":0.023739026949891776,"score_gpt":0.2834561698433259,"score_spread":0.2597171428934341,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000174550","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93275374,0.0021396468,0.0009163299,0.0016116521,0.000061242215,0.000067056586,0.0049817953,0.00007879324,0.05738965],"genre_scores_gemma":[0.97301495,0.001283326,0.000634649,0.00011086836,0.000012394928,0.0000161728,0.0012867077,0.0000128401025,0.023628043],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998379,0.00000829571,0.0000032495395,0.000020098598,0.000052195726,0.00007822903],"domain_scores_gemma":[0.999816,0.000010486151,0.00002957886,0.0000058879054,0.0000642813,0.00007383866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000065100015,0.00019186128,0.00009352848,0.00066166813,0.0027798119,0.00079277216,0.0003567689,0.0002787104,0.007576625],"category_scores_gemma":[0.00024560097,0.00013828745,0.00013261611,0.001976706,0.00087120297,0.00032340872,0.00068343425,0.00022851714,0.00046564694],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024270691,0.00010184807,0.6146219,0.0012199113,0.00007584566,0.012758323,0.08336752,0.0034940832,0.009928759,0.018444387,0.09483274,0.16091192],"study_design_scores_gemma":[0.000009169753,0.0000554668,0.80133444,0.0001638524,0.000029700057,0.00094485114,0.05895492,0.000921686,0.00089278957,0.00040049257,0.13624853,0.000044081688],"about_ca_topic_score_codex":0.9770758,"about_ca_topic_score_gemma":0.99529356,"teacher_disagreement_score":0.022924185,"about_ca_system_score_codex":0.015476102,"about_ca_system_score_gemma":0.015597281,"threshold_uncertainty_score":0.11228746},"labels":[],"label_agreement":null},{"id":"W3000525199","doi":"10.1109/sipda47030.2019.8951552","title":"Global and Brazilian Perspectives on Managing Ground Potential Rise at Overhead AC Transmission Structures during Power Frequency Faults : Invited Lecture: CIGRE Technical Brochure 694 Tutorial","year":2019,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kinectrics (Canada)","funders":"","keywords":"Ground; Electric power transmission; Overhead (engineering); Ground-penetrating radar; Tower; Overhead line; Transmission line; Reliability engineering; Soil resistivity; Environmental science; Computer science; Engineering; Risk analysis (engineering); Electrical engineering; Civil engineering; Telecommunications; Business","score_opus":0.0027679619343094217,"score_gpt":0.22486843061038791,"score_spread":0.2221004686760785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000525199","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0070973383,0.36101452,0.027747288,0.1457146,0.025278794,0.00009298821,0.00044069721,0.00052479596,0.43208915],"genre_scores_gemma":[0.12038959,0.40780017,0.01902978,0.01540542,0.021077393,0.00011126822,0.000702026,0.000361392,0.41512296],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99966,0.000075930606,0.00001636151,0.000051528794,0.000110252186,0.00008592511],"domain_scores_gemma":[0.99944276,0.00010864045,0.000035589863,0.000023310617,0.00026764534,0.00012211839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001340009,0.0008257889,0.00035519525,0.0012946504,0.0009317305,0.0023497439,0.00072812225,0.0027131748,0.023939634],"category_scores_gemma":[0.0008848466,0.0002096367,0.00034814444,0.0013537026,0.00066354685,0.0019805075,0.0014008385,0.0015164692,0.005065518],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054189964,0.000109467044,0.0018775011,0.0009292815,0.000015761458,0.0006243092,0.0006778699,0.0023954285,0.0027376332,0.046060383,0.4512441,0.49327406],"study_design_scores_gemma":[0.000002175046,0.00006475519,0.002376071,0.0006262024,0.000013595645,0.0004594295,0.00081489125,0.00047493508,0.00041429396,0.0069889943,0.9877494,0.000015221333],"about_ca_topic_score_codex":0.0055284468,"about_ca_topic_score_gemma":0.010894027,"teacher_disagreement_score":0.023939634,"about_ca_system_score_codex":0.0013596979,"about_ca_system_score_gemma":0.0021056703,"threshold_uncertainty_score":0.08008605},"labels":[],"label_agreement":null},{"id":"W3003317921","doi":"","title":"Mapping a Pristine Glaciofluvial Aquifer on the Canadian Shield Using Ground-Penetrating Radar and Electrical Resistivity Tomography","year":2013,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electrical resistivity tomography; Ground-penetrating radar; Aquifer; Geology; Electrical resistivity and conductivity; Groundwater; Shield; Tomography; Geomorphology; Remote sensing; Radar; Geophysics; Geotechnical engineering; Engineering; Petrology; Medicine; Radiology; Electrical engineering","score_opus":0.022000688993220083,"score_gpt":0.2355726417801969,"score_spread":0.21357195278697683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003317921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99572134,0.00008075508,0.0004075167,0.00012012568,0.0000036826946,0.00002370053,0.0005169849,0.000039343562,0.0030865336],"genre_scores_gemma":[0.9982494,0.00007721033,0.00087084214,0.000021767275,0.0000016694999,0.000006204714,0.00023506637,0.0000051422107,0.00053279474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998134,0.000005651253,0.00000434427,0.000026220048,0.0000779706,0.00007248935],"domain_scores_gemma":[0.9997737,0.000017326929,0.000024727611,0.000010700722,0.00012897672,0.0000446219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015053223,0.0002900303,0.0002177536,0.0012036848,0.0017785812,0.00087173353,0.0005358773,0.00042491299,0.0006886626],"category_scores_gemma":[0.00036688586,0.00017603471,0.00014387522,0.0014064005,0.00091556966,0.00031238075,0.00051769835,0.00027743253,0.00012341316],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005067642,0.0003132851,0.8061766,0.00014936428,0.00011949837,0.002101848,0.0038782589,0.021830542,0.08181453,0.0019116785,0.004377176,0.07682048],"study_design_scores_gemma":[0.000032685926,0.000031931926,0.9759912,0.000028434124,0.00003096118,0.0002031819,0.0020706658,0.016182214,0.0020526107,0.00018995181,0.0031491949,0.0000371227],"about_ca_topic_score_codex":0.9636965,"about_ca_topic_score_gemma":0.9865319,"teacher_disagreement_score":0.03630352,"about_ca_system_score_codex":0.005730377,"about_ca_system_score_gemma":0.01436833,"threshold_uncertainty_score":0.073034585},"labels":[],"label_agreement":null},{"id":"W3004829643","doi":"10.1016/j.jobe.2020.101267","title":"Phosphogypsum recycling: New horizons for a more sustainable road material application","year":2020,"lang":"en","type":"article","venue":"Journal of Building Engineering","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":164,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Phosphogypsum; Compaction; Lime; Raw material; Geotechnical engineering; Environmental science; Fly ash; Waste management; Materials science; Metallurgy; Engineering","score_opus":0.011078048373476106,"score_gpt":0.2504826161537379,"score_spread":0.23940456778026178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004829643","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5758152,0.16158809,0.12856102,0.02946154,0.004131527,0.00016925018,0.0014602848,0.0013905282,0.0974226],"genre_scores_gemma":[0.8801984,0.055291194,0.03548247,0.0020342586,0.00035553746,0.00006280375,0.00048223272,0.00017925007,0.025913814],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999068,0.0000103080265,0.000003795389,0.000025443242,0.000028172934,0.000025516601],"domain_scores_gemma":[0.9999418,0.000012364404,0.000009239974,0.000008374348,0.000014539555,0.000013588373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028800365,0.000506898,0.00038110855,0.0003333379,0.00024157435,0.0012364632,0.00061914494,0.0011989065,0.00675323],"category_scores_gemma":[0.0003020191,0.00013099382,0.00029910062,0.00037406047,0.00044179126,0.0022246207,0.0007750493,0.0007618088,0.0010993336],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005002509,0.00017049944,0.0010761898,0.0019814982,0.00004751819,0.00053627184,0.0001276676,0.003264956,0.68433386,0.042593885,0.009949622,0.25541782],"study_design_scores_gemma":[0.00005772615,0.000627343,0.0017811531,0.00038683738,0.000104383806,0.00080260367,0.00067529303,0.00818788,0.63220346,0.033834536,0.3212863,0.000052504896],"about_ca_topic_score_codex":0.0005904411,"about_ca_topic_score_gemma":0.0010938622,"teacher_disagreement_score":0.00675323,"about_ca_system_score_codex":0.00058983726,"about_ca_system_score_gemma":0.0008777304,"threshold_uncertainty_score":0.02259183},"labels":[],"label_agreement":null},{"id":"W3004973134","doi":"","title":"Improved classification and geolocation of SuperDARN ground scatter","year":2019,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Geolocation; Remote sensing; Geology; Computer science; Geodesy; World Wide Web","score_opus":0.015424121428617802,"score_gpt":0.23967410076787796,"score_spread":0.22424997933926016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004973134","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34014452,0.0006488457,0.65095216,0.00024932728,0.00030153128,0.000041437048,0.00076693465,0.001985557,0.004909705],"genre_scores_gemma":[0.6783362,0.00029718914,0.31237733,0.0000881114,0.00012096246,0.00003099778,0.002017959,0.00014815402,0.006583098],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964845,0.00007581301,0.00001409248,0.00009060089,0.00012324034,0.000047820777],"domain_scores_gemma":[0.9994978,0.000089983056,0.00003702976,0.00012943271,0.0002224854,0.000023232687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063867203,0.0005093776,0.00046542863,0.001181273,0.00021037435,0.00068611454,0.0004986302,0.0004548983,0.0016126275],"category_scores_gemma":[0.0010464122,0.00016026241,0.00038947703,0.0010761542,0.00019273533,0.00060660945,0.0006801407,0.00039229,0.0013704363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004434041,0.00011531466,0.012737897,0.00006573201,0.00005189308,0.00007300183,0.00016400681,0.059031613,0.08199163,0.0024181677,0.0052679223,0.83763945],"study_design_scores_gemma":[0.00003871789,0.0000969045,0.026840448,0.000013117188,0.00004334032,0.00016106167,0.00011732839,0.9456418,0.018632252,0.0018447745,0.0065387497,0.00003151392],"about_ca_topic_score_codex":0.0029134054,"about_ca_topic_score_gemma":0.005124193,"teacher_disagreement_score":0.0029134054,"about_ca_system_score_codex":0.00020135328,"about_ca_system_score_gemma":0.0005255325,"threshold_uncertainty_score":0.005792916},"labels":[],"label_agreement":null},{"id":"W3005847788","doi":"","title":"Background noise-based post-processing of auto source signal from SCPT: A feasibility study for soil type classification at Richmond, Canada","year":2020,"lang":"en","type":"article","venue":"Measurement","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Noise (video); Signal processing; Environmental science; Statistics; Computer science; Speech recognition; Mathematics; Artificial intelligence; Telecommunications","score_opus":0.13264206881068935,"score_gpt":0.2792172322572767,"score_spread":0.14657516344658733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005847788","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.920703,0.00011030178,0.06799275,0.00017868471,0.000055429693,0.00013270567,0.0012181248,0.0013315165,0.008277437],"genre_scores_gemma":[0.93330044,0.00014365825,0.0585732,0.00007119036,0.000020734893,0.000053478205,0.0013744213,0.00022448401,0.0062384484],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9996263,0.000017254959,0.000006207065,0.00005049839,0.00024136994,0.000058320184],"domain_scores_gemma":[0.9993568,0.000051679675,0.000014644641,0.000018550132,0.0005219278,0.000036401856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029969346,0.00034818493,0.00030251103,0.00074800587,0.00069184933,0.00073871465,0.0006033326,0.00031429323,0.0015761941],"category_scores_gemma":[0.00068473397,0.00013798857,0.00017635021,0.0009237903,0.00020971026,0.00026045996,0.00024115805,0.0003527763,0.0006960608],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001568882,0.00043273938,0.08618458,0.0002352671,0.000060181264,0.0004897443,0.0006443089,0.016615579,0.6207648,0.000590268,0.0044320393,0.26798162],"study_design_scores_gemma":[0.00016105488,0.00055565283,0.47435844,0.000038872495,0.00018209055,0.00034884733,0.0008043465,0.28155637,0.23129562,0.00020178281,0.010432173,0.000064751206],"about_ca_topic_score_codex":0.2419041,"about_ca_topic_score_gemma":0.453621,"teacher_disagreement_score":0.7580959,"about_ca_system_score_codex":0.0010793138,"about_ca_system_score_gemma":0.003497195,"threshold_uncertainty_score":0.48099208},"labels":[],"label_agreement":null},{"id":"W3007316485","doi":"","title":"Ground penetrating radar characterization of a landfill","year":2010,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ground-penetrating radar; Environmental science; Remote sensing; Characterization (materials science); Radar; Geology; Engineering; Aerospace engineering; Materials science","score_opus":0.010482972181672512,"score_gpt":0.21455935195844056,"score_spread":0.20407637977676804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007316485","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984187,0.000019428737,0.00117762,0.0000072767075,8.750861e-7,0.0000066324783,0.000045351135,0.000016037753,0.00030813634],"genre_scores_gemma":[0.999119,0.000023958644,0.0004770533,0.0000050362487,7.09235e-7,0.0000038974686,0.00004832759,0.000002526075,0.00031952228],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99987006,0.000016066015,0.0000056584336,0.000021223954,0.000051519226,0.000035515546],"domain_scores_gemma":[0.9998838,0.000025854191,0.000032511314,0.000008450928,0.000036234007,0.000013160737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017529321,0.0001777436,0.00024750835,0.00039624624,0.00026244792,0.00039575095,0.00020424112,0.0002616417,0.00059445674],"category_scores_gemma":[0.00018816181,0.00008904619,0.000109971326,0.0003921369,0.000269782,0.0002457628,0.0001364678,0.00012522833,0.00013849289],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040010025,0.0001486531,0.049102724,0.0001060856,0.000013979207,0.0019195612,0.0007561046,0.005769246,0.9267471,0.00019690272,0.00014780238,0.0146917105],"study_design_scores_gemma":[0.000029515755,0.0020947258,0.33472174,0.000027949485,0.000059868984,0.002581385,0.004998183,0.034895323,0.6178423,0.00030249698,0.002411769,0.00003471745],"about_ca_topic_score_codex":0.002469929,"about_ca_topic_score_gemma":0.0027451292,"teacher_disagreement_score":0.002469929,"about_ca_system_score_codex":0.0001622513,"about_ca_system_score_gemma":0.00018618688,"threshold_uncertainty_score":0.0049111843},"labels":[],"label_agreement":null},{"id":"W3008771877","doi":"","title":"Transboundary study of the Milk River aquifer (Canada, USA): geological, conceptual and numerical models for the sound management of the regional groundwater resources","year":2016,"lang":"en","type":"article","venue":"EGUGA","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Aquifer; Sound (geography); Groundwater; Geology; Groundwater resources; Water resource management; Hydrology (agriculture); Water resources; Environmental science; Geomorphology; Geotechnical engineering","score_opus":0.03528278627241052,"score_gpt":0.23747948116878193,"score_spread":0.2021966948963714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008771877","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99171,0.00020275844,0.0012888769,0.00060888915,0.0000149778625,0.000037651254,0.0014712173,0.000048269936,0.0046173474],"genre_scores_gemma":[0.99104345,0.00025269072,0.0022954429,0.00007470905,0.0000036775082,0.000024012656,0.00085471856,0.000020786672,0.005430596],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984205,0.00002768964,0.000005787603,0.000025505706,0.000057861325,0.00004111996],"domain_scores_gemma":[0.9995552,0.00004893447,0.000027455406,0.000020772432,0.00026893255,0.00007875868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029826572,0.00032844616,0.00023188752,0.00046179665,0.002552806,0.0010037405,0.00090238394,0.00060303684,0.0016300272],"category_scores_gemma":[0.0009281284,0.00021189284,0.00033006555,0.0011353905,0.00063425786,0.000805852,0.00073961803,0.0009126141,0.00017115031],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006316022,0.0010654776,0.6618952,0.0002472721,0.0003810858,0.0019221562,0.006876489,0.16471702,0.0092700785,0.029545544,0.028387371,0.095060654],"study_design_scores_gemma":[0.00009743684,0.0001540062,0.63348794,0.00010851262,0.00019366617,0.00033213318,0.021588713,0.2932857,0.0052254656,0.0031556413,0.042227477,0.00014333382],"about_ca_topic_score_codex":0.99387264,"about_ca_topic_score_gemma":0.9962813,"teacher_disagreement_score":0.019698307,"about_ca_system_score_codex":0.019698307,"about_ca_system_score_gemma":0.027641311,"threshold_uncertainty_score":0.14292186},"labels":[],"label_agreement":null},{"id":"W3009254777","doi":"","title":"Magnetic resonance imaging (MRI) and relaxation time mapping of concrete","year":2001,"lang":"en","type":"article","venue":"Library and Archives Canada (Government of Canada)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Magnetic resonance imaging; Nuclear magnetic resonance; Relaxation (psychology); Geology; Medicine; Radiology; Physics","score_opus":0.0025309516421912585,"score_gpt":0.1389881674649736,"score_spread":0.13645721582278236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009254777","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9568002,0.008980816,0.022937866,0.00063474366,0.00003096987,0.000051802435,0.00059977255,0.00012773373,0.009836063],"genre_scores_gemma":[0.968903,0.0055441973,0.0188557,0.0001365162,0.000033694265,0.000026112853,0.0003395277,0.000050696894,0.006110482],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999083,0.000009420876,0.0000045217116,0.000017109756,0.0000393394,0.000021294592],"domain_scores_gemma":[0.99970776,0.00005587096,0.0000695951,0.000020396745,0.00011500748,0.00003131161],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034756973,0.00026250223,0.00014863453,0.0011683895,0.0003609649,0.00060137524,0.00032755898,0.00054102554,0.0010544695],"category_scores_gemma":[0.0009407811,0.00025755368,0.00009308093,0.00076062494,0.00046099708,0.0003902674,0.00027755185,0.0003752343,0.00026977606],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008443598,0.000103445476,0.012031835,0.00046895506,0.00006723287,0.00065987353,0.0004757376,0.00546183,0.8976074,0.0021747653,0.00094161823,0.07916289],"study_design_scores_gemma":[0.00017075495,0.0007757719,0.4026255,0.00032773806,0.0003899567,0.008775838,0.0017582459,0.026651558,0.52778107,0.0053079696,0.025203373,0.0002321779],"about_ca_topic_score_codex":0.063774355,"about_ca_topic_score_gemma":0.09771935,"teacher_disagreement_score":0.063774355,"about_ca_system_score_codex":0.00060298765,"about_ca_system_score_gemma":0.0020183579,"threshold_uncertainty_score":0.12680626},"labels":[],"label_agreement":null},{"id":"W3013808434","doi":"10.1039/d0ew00104j","title":"A thermal imaging methodology to study evaporation kinetics in mine tailings","year":2020,"lang":"en","type":"article","venue":"Environmental Science Water Research & Technology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cégep de Jonquière; Université de Sherbrooke","funders":"Bureau de l’Efficacité et de l’Innovation Énergétiques; Natural Sciences and Engineering Research Council of Canada; Université de Sherbrooke","keywords":"Tailings; Mining engineering; Environmental science; Evaporation; Thermal; Kinetics; Geology; Materials science; Metallurgy; Geography; Meteorology; Physics","score_opus":0.0760190771565489,"score_gpt":0.36304488268473056,"score_spread":0.2870258055281817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013808434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80409104,0.0026943192,0.18866433,0.00014465758,0.00008340747,0.00015814994,0.0003378621,0.0002973396,0.0035290276],"genre_scores_gemma":[0.8729377,0.0021033231,0.121231206,0.0000851488,0.000030374556,0.00015333657,0.00016476518,0.000062083214,0.00323204],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998944,0.000012678244,0.0000060134043,0.000031342643,0.000039550334,0.000016016578],"domain_scores_gemma":[0.9998204,0.000059138772,0.000032531123,0.000023250805,0.000052613213,0.000012070103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002943004,0.00024351293,0.00016039098,0.00032691695,0.00023376399,0.00026177894,0.00032599724,0.00034070938,0.0004951854],"category_scores_gemma":[0.0003165347,0.00025781043,0.00018027106,0.0002568499,0.00019932333,0.00038319093,0.00017194281,0.00053520605,0.0001738648],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001744584,0.00002062332,0.00097430864,0.000041040617,0.000003826879,0.000024702333,0.000027449589,0.0003919372,0.9949462,0.0001388377,0.000043038308,0.0033706403],"study_design_scores_gemma":[0.0000047693466,0.00014185313,0.0072675114,0.000009810265,0.0000124536755,0.0002718661,0.00007360584,0.018246615,0.97242785,0.00009363257,0.0014340614,0.00001600458],"about_ca_topic_score_codex":0.000977281,"about_ca_topic_score_gemma":0.0018469723,"teacher_disagreement_score":0.000977281,"about_ca_system_score_codex":0.0001800874,"about_ca_system_score_gemma":0.00024677953,"threshold_uncertainty_score":0.001943171},"labels":[],"label_agreement":null},{"id":"W3015802923","doi":"10.18280/i2m.190105","title":"Welsh DSP Estimate and EMD Applied to Leak Detection in a Water Distribution Pipeline","year":2020,"lang":"en","type":"article","venue":"Instrumentation Mesure Métrologie","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Welsh; Pipeline (software); Leak detection; Digital signal processing; Leak; Environmental science; Computer science; Computer hardware; Environmental engineering; Geography; Operating system","score_opus":0.018886594730097083,"score_gpt":0.27410595853009495,"score_spread":0.2552193637999979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015802923","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12548561,0.0003605571,0.8715654,0.00010401666,0.00007937084,0.000034429722,0.000076172175,0.00046641383,0.0018280285],"genre_scores_gemma":[0.7334184,0.00037995825,0.26256567,0.000056989826,0.000050619637,0.000048675738,0.00020472312,0.000062621046,0.0032122454],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980396,0.000035377885,0.000013447948,0.000045948684,0.00008258822,0.000018687835],"domain_scores_gemma":[0.99967265,0.00012959394,0.000032589716,0.000027789434,0.00012195943,0.00001548765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046952243,0.00056873093,0.00030112063,0.0009845608,0.00022203305,0.000375578,0.000236663,0.00049249467,0.0016666799],"category_scores_gemma":[0.0013465123,0.00014867933,0.00036570663,0.00060408807,0.00025360766,0.0005752789,0.00042729446,0.00037563907,0.00034019887],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006278522,0.00014086605,0.00465095,0.00046359378,0.00007934968,0.0004289615,0.00028371115,0.10114507,0.14410034,0.0032863175,0.0012666174,0.74352646],"study_design_scores_gemma":[0.000023653625,0.0002504725,0.0066102897,0.000028693259,0.00003254884,0.00030570902,0.00012704203,0.9421915,0.04628598,0.001281987,0.0028309578,0.000031220523],"about_ca_topic_score_codex":0.0012060553,"about_ca_topic_score_gemma":0.0011529839,"teacher_disagreement_score":0.0016666799,"about_ca_system_score_codex":0.00016276464,"about_ca_system_score_gemma":0.00028399625,"threshold_uncertainty_score":0.0055755377},"labels":[],"label_agreement":null},{"id":"W3016210978","doi":"10.1109/accs-peit48329.2019.9062854","title":"MIMO-Software Defined Radio based GPR System for Land Mine Detection","year":2019,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Software; Software-defined radio; MIMO; Ground-penetrating radar; Computer science; Wideband; Electronic engineering; Antenna (radio); ISM band; Radar; Engineering; Telecommunications; Beamforming","score_opus":0.009165306585680428,"score_gpt":0.21373749598708042,"score_spread":0.20457218940139998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016210978","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19116351,0.00080277433,0.78466225,0.00030143812,0.0002457825,0.0002623612,0.0004260478,0.010191988,0.011943925],"genre_scores_gemma":[0.89809567,0.00024586834,0.09341995,0.00041790423,0.00009716138,0.00016163499,0.0004551598,0.00009878579,0.007007809],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99951124,0.00013076985,0.000022492204,0.00009335197,0.00019320322,0.00004900536],"domain_scores_gemma":[0.99959606,0.00009731252,0.000061845516,0.00007844197,0.00013417976,0.00003212358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003647161,0.00044133223,0.00042265994,0.0004995196,0.0001566743,0.0004820762,0.00057721796,0.00045085652,0.0031540017],"category_scores_gemma":[0.00054693996,0.00015344516,0.00018408975,0.00024711387,0.0001706546,0.0004284216,0.0004407018,0.00038614034,0.0013454203],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014455661,0.00041317454,0.009377949,0.0004122667,0.0001196051,0.00067487534,0.00032538344,0.008900673,0.68278605,0.0052593164,0.009352402,0.28093284],"study_design_scores_gemma":[0.00035399772,0.004302855,0.02097624,0.00010546144,0.0002960025,0.005536104,0.00021123601,0.34758407,0.56650776,0.0025637865,0.051397964,0.00016446105],"about_ca_topic_score_codex":0.00020831208,"about_ca_topic_score_gemma":0.0002687738,"teacher_disagreement_score":0.0031540017,"about_ca_system_score_codex":0.00017478333,"about_ca_system_score_gemma":0.00018588018,"threshold_uncertainty_score":0.010551214},"labels":[],"label_agreement":null},{"id":"W3016295810","doi":"10.1139/cgj-2019-0571","title":"Marine soil behaviour classification using piezocone penetration test (CPTu) and borehole records","year":2020,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Borehole; Geotechnical engineering; Penetration test; Penetrometer; Submarine pipeline; Geology; Silt; Soil water; Soil science; Geomorphology","score_opus":0.03663730602211858,"score_gpt":0.24923555272461473,"score_spread":0.21259824670249616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016295810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98624706,0.000047639598,0.009908995,0.00000984107,0.0000086939535,0.00007702214,0.0017065204,0.00023935614,0.0017548683],"genre_scores_gemma":[0.990987,0.000053184824,0.0070312517,0.000006370676,0.0000036561428,0.000040228944,0.0014609497,0.000015396196,0.00040191808],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99935085,0.00008952468,0.000089566434,0.00014123444,0.00026682307,0.00006195648],"domain_scores_gemma":[0.99774677,0.00035540684,0.00054689293,0.0001880251,0.0010242197,0.00013869669],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074357784,0.0005174759,0.0002959763,0.0029697092,0.00025761878,0.0005844042,0.00030697035,0.00025535532,0.0005664239],"category_scores_gemma":[0.0026758665,0.000164704,0.00032867983,0.0024975487,0.00029324924,0.0005117779,0.00053532084,0.00015606375,0.0003573951],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017785215,0.000056705212,0.8851527,0.00010625113,0.00007265674,0.00025446207,0.00044321537,0.0066902973,0.022599101,0.00012475284,0.00051603635,0.083806105],"study_design_scores_gemma":[0.000007980837,0.00009045815,0.96570045,0.000016236807,0.000027705744,0.00016787942,0.0004089746,0.027646735,0.0052334997,0.00005338049,0.00062245794,0.000024275745],"about_ca_topic_score_codex":0.03595902,"about_ca_topic_score_gemma":0.06668343,"teacher_disagreement_score":0.03595902,"about_ca_system_score_codex":0.0005471947,"about_ca_system_score_gemma":0.00045027758,"threshold_uncertainty_score":0.07149941},"labels":[],"label_agreement":null},{"id":"W3021472881","doi":"10.5006/c2007-07654","title":"Telluric Hazard Assessment for Northern Pipelines","year":2007,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Pipeline transport; Hazard; Hazard analysis; Environmental science; Pipeline (software); Forensic engineering; Geology; Petroleum engineering; Computer science; Reliability engineering; Engineering; Environmental engineering; Mechanical engineering","score_opus":0.016332129052206032,"score_gpt":0.3116124261590212,"score_spread":0.29528029710681514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021472881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97428757,0.00009032349,0.018191664,0.000055465804,0.0000044103713,0.000042078173,0.0006459437,0.0002531982,0.006429227],"genre_scores_gemma":[0.99683565,0.00004126442,0.001552198,0.0000033183892,0.0000010211737,0.000005167454,0.0001777119,0.00000922502,0.0013743688],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99974483,0.00004586288,0.000008436146,0.00004072086,0.0001257467,0.000034441393],"domain_scores_gemma":[0.999665,0.000077004646,0.00006423134,0.000029468423,0.00014182001,0.000022439568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040850978,0.00045590676,0.0003550847,0.00093337556,0.00034843048,0.00061457825,0.00041856596,0.00035232908,0.0018663586],"category_scores_gemma":[0.0010195528,0.0001801166,0.00049026514,0.00090360176,0.0002539556,0.0005462957,0.000459159,0.00022800222,0.00019051593],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056781835,0.000095887626,0.10208354,0.0001645479,0.000092876166,0.00059209036,0.0003399635,0.8037986,0.0501761,0.0016977917,0.0008226772,0.039568137],"study_design_scores_gemma":[0.00002440254,0.0005420576,0.118480615,0.000021233951,0.00008126108,0.0002282425,0.0004491339,0.842947,0.03314706,0.001323109,0.0027118342,0.00004410233],"about_ca_topic_score_codex":0.10485524,"about_ca_topic_score_gemma":0.10658164,"teacher_disagreement_score":0.10485524,"about_ca_system_score_codex":0.0029127875,"about_ca_system_score_gemma":0.001187298,"threshold_uncertainty_score":0.20848984},"labels":[],"label_agreement":null},{"id":"W3021874351","doi":"10.5539/jgg.v12n1p25","title":"Use of Ground Penetrating Radar, Hydrogeochemical Testing, and Aquifer Characterization to Establish Shallow Groundwater Supply to the Rehabilitated Ni-les’tun Unit Floodplain: Bandon Marsh, Coquille Estuary, Oregon, USA","year":2020,"lang":"en","type":"article","venue":"Journal of Geography and Geology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Oregon Sea Grant, Oregon State University; U.S. Fish and Wildlife Service; National Oceanic and Atmospheric Administration; U.S. Department of Commerce","keywords":"Hydrology (agriculture); Groundwater; Estuary; Aquifer; Geology; Piezometer; Marsh; Saltwater intrusion; Wetland; Environmental science; Oceanography; Geotechnical engineering; Ecology","score_opus":0.022960169029344994,"score_gpt":0.22615688637263587,"score_spread":0.20319671734329087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021874351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994031,0.000008582372,0.00013563327,0.000005425936,3.7300782e-7,0.000008394578,0.000070344875,0.00000379617,0.00036436247],"genre_scores_gemma":[0.998251,0.000023924706,0.00085638376,0.000009139761,5.861148e-7,0.000014010766,0.00024822765,0.0000014726664,0.0005952409],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999144,0.0000083030345,0.0000075643184,0.000028623606,0.000027199816,0.000013921511],"domain_scores_gemma":[0.9998024,0.000018874725,0.000066286324,0.0000142686295,0.00006509778,0.000033078377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014995846,0.00018578062,0.00008660108,0.00032521502,0.00035352368,0.00051258196,0.00025899793,0.000115378214,0.00057806366],"category_scores_gemma":[0.00023134559,0.00010222399,0.000071736,0.00032003364,0.0002759584,0.00024195977,0.0002558605,0.00014247913,0.000080186284],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012072481,0.00015211337,0.9460965,0.000021014006,0.000016714346,0.00014462446,0.00049687625,0.0001977212,0.035911832,0.00003281855,0.000091148206,0.016717957],"study_design_scores_gemma":[0.0000052576047,0.000107623644,0.99314404,0.000005204555,0.000009673378,0.00008185981,0.0008973244,0.0010683301,0.004232631,0.000011798031,0.00043275504,0.0000036092488],"about_ca_topic_score_codex":0.057538167,"about_ca_topic_score_gemma":0.25263822,"teacher_disagreement_score":0.057538167,"about_ca_system_score_codex":0.00063130184,"about_ca_system_score_gemma":0.00063968875,"threshold_uncertainty_score":0.11440647},"labels":[],"label_agreement":null},{"id":"W3023476693","doi":"10.1007/s10040-020-02153-7","title":"Hydrogeological characterization of an alpine aquifer system in the Canadian Rocky Mountains","year":2020,"lang":"en","type":"article","venue":"Hydrogeology Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Alberta; University of Calgary","keywords":"Geology; Hydrogeology; Moraine; Bedrock; Electrical resistivity tomography; Landform; Aquifer; Lithology; Groundwater; Geomorphology; Structural basin; Hydrology (agriculture); Geochemistry; Glacier","score_opus":0.018007698834604124,"score_gpt":0.22613546916228858,"score_spread":0.20812777032768445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023476693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974837,0.00012119702,0.00013805369,0.000020382153,4.708683e-7,0.0000109722605,0.00037698663,0.000010773232,0.0018374721],"genre_scores_gemma":[0.99890685,0.00010012872,0.00034100126,0.000011258789,7.615387e-7,0.000005025518,0.00029527355,0.0000023705315,0.00033731255],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999892,0.000003668809,0.0000033686927,0.000019168669,0.00004717059,0.000034561403],"domain_scores_gemma":[0.99985695,0.0000087370845,0.000019134355,0.0000052518703,0.00007993142,0.000029912058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000095813084,0.00015472235,0.0001244206,0.0014735023,0.0012484072,0.0006505722,0.00033532106,0.00014707232,0.0007656012],"category_scores_gemma":[0.0002537172,0.00009284779,0.00011836057,0.0014210179,0.00054069323,0.00016010858,0.0003213302,0.00011212232,0.000062019855],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000085918015,0.000038259815,0.9160216,0.000085936364,0.0000603705,0.0004628246,0.002289869,0.004141282,0.026014391,0.0006757137,0.0008598838,0.049263902],"study_design_scores_gemma":[0.0000014983624,0.0000047308527,0.99728274,0.0000040325667,0.000005173989,0.00003755539,0.00038498954,0.0014014681,0.00023451132,0.00001756758,0.00062096963,0.0000047311682],"about_ca_topic_score_codex":0.95632756,"about_ca_topic_score_gemma":0.98406017,"teacher_disagreement_score":0.043672442,"about_ca_system_score_codex":0.0049710064,"about_ca_system_score_gemma":0.0038499008,"threshold_uncertainty_score":0.08785921},"labels":[],"label_agreement":null},{"id":"W3024959095","doi":"10.36487/acg_repo/2025_16","title":"Post-shearing data collection with enhanced network smart markers","year":2020,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Teck (Canada)","funders":"","keywords":"Inclinometer; Piezometer; Borehole; Geology; Shearing (physics); Geotechnical engineering; Tiltmeter; Pore water pressure; Pressure sensor; Engineering; Geodesy; Groundwater; Mechanical engineering; Aquifer","score_opus":0.02455508461258914,"score_gpt":0.23895424904638288,"score_spread":0.21439916443379373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024959095","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7411009,0.00015852497,0.23126212,0.00013159178,0.00030872913,0.0012933788,0.007018519,0.007576993,0.011149075],"genre_scores_gemma":[0.74131125,0.000207008,0.23786679,0.00009153228,0.000087833956,0.0012156196,0.0050846157,0.00069709803,0.013438275],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990257,0.00007495346,0.00008083769,0.00022672571,0.00051647803,0.000075193806],"domain_scores_gemma":[0.9981396,0.0002865826,0.000190976,0.00043003465,0.0008748128,0.000078015015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000839762,0.0006040087,0.00050153676,0.0011533085,0.00031672485,0.0006930521,0.00073540566,0.00026135298,0.006683962],"category_scores_gemma":[0.0019411405,0.0002997989,0.00022215438,0.0015954426,0.00022567633,0.00067471375,0.00087857724,0.00044718647,0.0016952947],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001614145,0.00044838028,0.055385612,0.00052149285,0.000053200107,0.00058128405,0.0019027204,0.006792076,0.52300256,0.00084016164,0.007975634,0.40088275],"study_design_scores_gemma":[0.00013429433,0.002157539,0.24868754,0.000102278245,0.000109420886,0.00053016614,0.0011931595,0.08396705,0.5939384,0.0006865448,0.06828379,0.00020978389],"about_ca_topic_score_codex":0.001252449,"about_ca_topic_score_gemma":0.0039663124,"teacher_disagreement_score":0.006683962,"about_ca_system_score_codex":0.00027589418,"about_ca_system_score_gemma":0.0004569789,"threshold_uncertainty_score":0.022360146},"labels":[],"label_agreement":null},{"id":"W3026725849","doi":"","title":"Measurement-based modeling of the dielectric permittivity of particulate geologic material for improved radar interpretation","year":2018,"lang":"en","type":"article","venue":"AGU Fall Meeting 2018","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of Toronto","funders":"","keywords":"Particulates; Permittivity; Interpretation (philosophy); Dielectric; Dielectric permittivity; Radar; Materials science; Remote sensing; Geology; Mineralogy; Computer science; Telecommunications; Optoelectronics; Chemistry","score_opus":0.02414610629823326,"score_gpt":0.24895113120733264,"score_spread":0.22480502490909937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3026725849","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05082947,0.00018476568,0.9467577,0.00009047473,0.000047370366,0.00001532003,0.00013082048,0.000780646,0.0011635248],"genre_scores_gemma":[0.8428609,0.00045484648,0.1545026,0.00006777732,0.00003074745,0.0000434717,0.00046940477,0.00014909254,0.0014212753],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998286,0.000040439772,0.000010785672,0.000040956482,0.00006355932,0.000015713338],"domain_scores_gemma":[0.99975806,0.0000701143,0.000027264588,0.00006695345,0.00007008984,0.0000074462278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034131977,0.0006080933,0.00040222536,0.0003087982,0.00014080506,0.0008248518,0.0007233001,0.00069153064,0.0006712225],"category_scores_gemma":[0.0011329526,0.00026087102,0.00046236135,0.00044398173,0.0001982995,0.0012222106,0.00048095168,0.00056586706,0.00056424725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015369087,0.00020719982,0.0061880653,0.00023955644,0.00007446173,0.00030702533,0.00014651753,0.5916086,0.24089667,0.0064766896,0.001731083,0.1519705],"study_design_scores_gemma":[0.0000055367022,0.000021090214,0.0009998423,0.000005949653,0.0000141089,0.000095330084,0.000015201029,0.9771046,0.019844703,0.0009869402,0.00089656276,0.000010164973],"about_ca_topic_score_codex":0.0015402283,"about_ca_topic_score_gemma":0.0015998998,"teacher_disagreement_score":0.0015402283,"about_ca_system_score_codex":0.00025704614,"about_ca_system_score_gemma":0.00040391064,"threshold_uncertainty_score":0.0030625463},"labels":[],"label_agreement":null},{"id":"W3031944637","doi":"10.4095/321101","title":"Improved analysis of horizontal-to-vertical spectral ratio measurements for groundwater investigations","year":2020,"lang":"en","type":"report","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Horizontal and vertical; Groundwater; Environmental science; Geology; Hydrology (agriculture); Soil science; Geodesy; Geotechnical engineering","score_opus":0.09093340362123396,"score_gpt":0.3198349680817944,"score_spread":0.22890156446056042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3031944637","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16122471,0.00063416985,0.8299498,0.00008950323,0.00006550907,0.00009146239,0.00094363873,0.0033032706,0.0036979232],"genre_scores_gemma":[0.5896353,0.00053124997,0.40704665,0.000052996893,0.00003903202,0.0001093769,0.0010499316,0.0003450722,0.0011904025],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99940526,0.0001449511,0.000045868906,0.00011635635,0.00023902225,0.000048547397],"domain_scores_gemma":[0.9992791,0.00026903654,0.00006966609,0.00009440352,0.0002702119,0.000017660303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080336217,0.0008793359,0.0004507431,0.0016614881,0.00015037443,0.0005634723,0.00047410646,0.00045026685,0.002429008],"category_scores_gemma":[0.0018485509,0.00024095096,0.0005751279,0.0014577238,0.00019448927,0.00075687264,0.00044659543,0.00038438622,0.00092344015],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002944773,0.00015154056,0.011230586,0.00040128373,0.00009261589,0.00024304214,0.00015643434,0.025317268,0.5913562,0.002692734,0.0011525949,0.36691117],"study_design_scores_gemma":[0.000038946862,0.00039869797,0.062052272,0.000080165664,0.00022460836,0.0006761983,0.00020443785,0.67036533,0.25119296,0.0037703512,0.0108223865,0.00017362282],"about_ca_topic_score_codex":0.0016592289,"about_ca_topic_score_gemma":0.0021615988,"teacher_disagreement_score":0.002429008,"about_ca_system_score_codex":0.00017436717,"about_ca_system_score_gemma":0.00037705177,"threshold_uncertainty_score":0.008125842},"labels":[],"label_agreement":null},{"id":"W3034198542","doi":"","title":"Petrochemistry and Chemical Engineering 2015: In situ ultrasonic measurements: A powerful tool to follow the synthesis of zeolites from coal fly ash","year":2019,"lang":"en","type":"article","venue":"Archives in Chemical Research","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Petrochemistry; Fly ash; Coal; In situ; Waste management; Ultrasonic sensor; Environmental science; Process engineering; Chemical engineering; Engineering; Chemistry; Environmental engineering; Organic chemistry","score_opus":0.02455627084310277,"score_gpt":0.3062750375165367,"score_spread":0.28171876667343393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034198542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87163615,0.0067167347,0.094599545,0.0011817868,0.0003056101,0.00018458588,0.0032885552,0.0013527711,0.020734226],"genre_scores_gemma":[0.9340569,0.003802206,0.044896465,0.00036417376,0.00005030791,0.000056363093,0.0010365252,0.00016633155,0.015570618],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99966395,0.000028150758,0.000013686859,0.000058918322,0.00020057337,0.000034676515],"domain_scores_gemma":[0.99973387,0.000076773824,0.000052776697,0.000025316307,0.00008993858,0.00002126326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066384376,0.00032478926,0.00020793742,0.0010171817,0.0004105285,0.00084298727,0.00030674745,0.00054588454,0.003490315],"category_scores_gemma":[0.00046089466,0.00035198245,0.0002246403,0.00073431566,0.00056733354,0.000677363,0.0005594485,0.0009288723,0.0009961752],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006937991,0.000029228742,0.004720129,0.00016229003,0.000020675408,0.000071124785,0.00014064978,0.00026697456,0.974946,0.00037431778,0.0007488401,0.018450402],"study_design_scores_gemma":[0.000007213123,0.00014209632,0.01072267,0.000017993287,0.000025608591,0.00018591803,0.00021589773,0.0039354647,0.97514254,0.00024003981,0.009343243,0.000021386231],"about_ca_topic_score_codex":0.002621542,"about_ca_topic_score_gemma":0.008613988,"teacher_disagreement_score":0.003490315,"about_ca_system_score_codex":0.000464823,"about_ca_system_score_gemma":0.00048941607,"threshold_uncertainty_score":0.0116763115},"labels":[],"label_agreement":null},{"id":"W3034684985","doi":"10.3390/w12061670","title":"Distinguishing Capillary Fringe Reflection in a GPR Profile for Precise Water Table Depth Estimation in a Boreal Podzolic Soil Field","year":2020,"lang":"en","type":"article","venue":"Water","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of Newfoundland and Labrador; Memorial University of Newfoundland","funders":"Memorial University of Newfoundland; Research and Development Corporation of Newfoundland and Labrador","keywords":"Ground-penetrating radar; Water table; Soil science; Vadose zone; Geology; Radar; Environmental science; Hydrology (agriculture); Water content; Capillary fringe; Groundwater; Remote sensing; Soil water; Geotechnical engineering; Engineering","score_opus":0.02406142413584424,"score_gpt":0.2731751521454254,"score_spread":0.24911372800958118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034684985","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98617953,0.00009907135,0.0131081855,0.00001406258,0.0000060453854,0.000012332633,0.00010836464,0.000078570876,0.00039383175],"genre_scores_gemma":[0.9895431,0.00006281657,0.010186849,0.000006724734,0.0000029930031,0.0000056029617,0.00009948769,0.000007115901,0.00008541969],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998636,0.000030376848,0.000006222504,0.000040707524,0.000032239823,0.00002687813],"domain_scores_gemma":[0.999788,0.00007475064,0.000037406044,0.000023193666,0.000057700607,0.000018979033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004899566,0.00027635598,0.00020763765,0.00061555137,0.00011011257,0.0003584081,0.0003323602,0.00024931738,0.00018096268],"category_scores_gemma":[0.0007859344,0.00015593387,0.00014744807,0.0006447438,0.0001673121,0.00041025755,0.00019308554,0.00015307206,0.00009532133],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006233384,0.0002064406,0.2795809,0.00019254474,0.000067464636,0.00066101504,0.0007681801,0.018089084,0.48689264,0.00036792507,0.00053835893,0.21201216],"study_design_scores_gemma":[0.000042661053,0.00035722833,0.77869785,0.000031536307,0.00009359962,0.00056409,0.0005564343,0.16456228,0.05341289,0.0003143446,0.0013026147,0.00006448419],"about_ca_topic_score_codex":0.0066843294,"about_ca_topic_score_gemma":0.01810794,"teacher_disagreement_score":0.0066843294,"about_ca_system_score_codex":0.00023554241,"about_ca_system_score_gemma":0.00022815421,"threshold_uncertainty_score":0.0132908225},"labels":[],"label_agreement":null},{"id":"W3035208538","doi":"10.3997/2214-4609.201902602","title":"Numerical Modelling of Ground Penetrating Radar for Potash Mine Safety","year":2019,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Ground-penetrating radar; Roof; Finite-difference time-domain method; Software; Potash; Radar; Geology; Computer science; Engineering; Civil engineering","score_opus":0.025032678237467226,"score_gpt":0.24980307875438626,"score_spread":0.22477040051691904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035208538","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19233704,0.00040604174,0.77173257,0.0003572176,0.00013800878,0.00016246311,0.0003764143,0.0010018368,0.03348846],"genre_scores_gemma":[0.9206403,0.0003385086,0.066103585,0.00005096802,0.000017982566,0.0001273131,0.00027630836,0.00008616448,0.012358924],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981683,0.000043418106,0.000011263877,0.000025566527,0.00008413537,0.000018697987],"domain_scores_gemma":[0.99975294,0.00010404055,0.000031698364,0.000030537125,0.00006843883,0.000012327432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027331407,0.00038099033,0.0002900259,0.00034067058,0.0003142258,0.0007697454,0.0005209265,0.0007389206,0.002886081],"category_scores_gemma":[0.0008835622,0.00023574867,0.00046505212,0.00028118136,0.0003745897,0.00049973745,0.00062648935,0.00038313796,0.00047516238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001901492,0.000012973035,0.00060938945,0.000024060457,0.0000064574556,0.00010333338,0.00003121355,0.98541355,0.004744466,0.0030827904,0.00023788866,0.005714792],"study_design_scores_gemma":[0.0000041144312,0.000012392344,0.0001859677,0.0000038042035,0.0000019569145,0.000026766107,0.0000092197615,0.99763834,0.0006877538,0.00051912945,0.0009073616,0.0000032309822],"about_ca_topic_score_codex":0.003865581,"about_ca_topic_score_gemma":0.0020807607,"teacher_disagreement_score":0.003865581,"about_ca_system_score_codex":0.00048740604,"about_ca_system_score_gemma":0.00050570985,"threshold_uncertainty_score":0.009654939},"labels":[],"label_agreement":null},{"id":"W3039520020","doi":"10.1016/j.forsciint.2020.110396","title":"Suitability of magnetometry to detect clandestine buried firearms from a controlled field site and numerical modeling","year":2020,"lang":"en","type":"article","venue":"Forensic Science International","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Magnetometer; Poison control; Human factors and ergonomics; Injury prevention; Suicide prevention; Field (mathematics); Occupational safety and health; Forensic engineering; Computer security; Environmental health; Computer science; Engineering; Medicine; Physics; Political science; Law; Magnetic field; Mathematics","score_opus":0.020272083352959852,"score_gpt":0.2814992662479422,"score_spread":0.26122718289498237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039520020","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9559166,0.000052723197,0.041913133,0.00009171242,0.000015478714,0.00004811483,0.000091431386,0.00018575882,0.0016850366],"genre_scores_gemma":[0.99481046,0.000015832078,0.004923513,0.000004063851,0.0000015503805,0.000009091719,0.00002918888,0.0000052802216,0.00020098459],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988115,0.000027002385,0.0000054539996,0.00003410594,0.000035606732,0.000016593256],"domain_scores_gemma":[0.99972755,0.00013577411,0.000027339967,0.000030622374,0.00006747066,0.000011287496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027371332,0.00027895469,0.00023306317,0.00042999207,0.000304821,0.00040368162,0.00043408104,0.0006627615,0.00044306007],"category_scores_gemma":[0.000909257,0.00017681946,0.00022769939,0.0002453295,0.00036760463,0.0003078038,0.0001671517,0.00019115351,0.0001341845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066478754,0.00045095856,0.06053595,0.0001576042,0.000074894575,0.00036302657,0.00028381217,0.58157897,0.30645338,0.0012128087,0.0006380381,0.047585838],"study_design_scores_gemma":[0.00004591317,0.0001846722,0.020297933,0.0000076768565,0.000022741286,0.00007383426,0.00008204304,0.9628942,0.01582031,0.00028559385,0.00026503447,0.00002007562],"about_ca_topic_score_codex":0.007154008,"about_ca_topic_score_gemma":0.009988921,"teacher_disagreement_score":0.007154008,"about_ca_system_score_codex":0.00038273347,"about_ca_system_score_gemma":0.00046616126,"threshold_uncertainty_score":0.014224768},"labels":[],"label_agreement":null},{"id":"W3043449013","doi":"10.1016/j.measurement.2020.108243","title":"Multi-frequency and multi-attribute GPR data fusion based on 2-D wavelet transform","year":2020,"lang":"en","type":"article","venue":"Measurement","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China; Zhejiang University; Ministry of Natural Resources","keywords":"Ground-penetrating radar; Wavelet transform; Wavelet; Computer science; Sensor fusion; Fusion; Image fusion; Remote sensing; Data mining; Artificial intelligence; Entropy (arrow of time); Pattern recognition (psychology); Computer vision; Geology; Radar; Image (mathematics); Telecommunications","score_opus":0.19597747320629838,"score_gpt":0.29028232387919234,"score_spread":0.09430485067289396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043449013","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038746107,0.00037926977,0.9587167,0.00015344372,0.00016641995,0.000034495566,0.0002222053,0.0005842773,0.0009971133],"genre_scores_gemma":[0.5436324,0.0011744149,0.45114902,0.00021483263,0.0002517456,0.00010433972,0.0011390469,0.00012762433,0.002206576],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991602,0.00012530935,0.00005859955,0.00017977042,0.00039017593,0.00008593769],"domain_scores_gemma":[0.9995757,0.0000761018,0.00005661736,0.00009899909,0.00017008102,0.000022583416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078078813,0.00072132424,0.0011444467,0.0014306662,0.00023000904,0.0010358271,0.0005080352,0.00087995915,0.0009870497],"category_scores_gemma":[0.0015611226,0.00034996134,0.0009895349,0.0023324513,0.00031392305,0.0020612276,0.0012302253,0.0007154199,0.0007754896],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00082420727,0.00025155474,0.004590518,0.00046645937,0.0002603445,0.00041955573,0.00027026466,0.05881422,0.3121324,0.008230726,0.003800106,0.6099397],"study_design_scores_gemma":[0.000043444812,0.00028160497,0.010864137,0.000034080716,0.00018182909,0.0009700545,0.00016861134,0.905265,0.06773964,0.007900372,0.006423135,0.00012810355],"about_ca_topic_score_codex":0.00040347828,"about_ca_topic_score_gemma":0.0004294317,"teacher_disagreement_score":0.0014306662,"about_ca_system_score_codex":0.00016730605,"about_ca_system_score_gemma":0.00043266136,"threshold_uncertainty_score":0.0041292906},"labels":[],"label_agreement":null},{"id":"W3043632161","doi":"10.3808/jeil.202000030","title":"Wormhole Network Imaging in Post-Chops Process Using Ground-Penetrating Radar","year":2020,"lang":"en","type":"article","venue":"Journal of Environmental Informatics Letters","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; University of Regina","funders":"Petroleum Technology Research Centre; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Ground-penetrating radar; Wormhole; Radar; Dimension (graph theory); Antenna (radio); Oil field; Process (computing); Computer science; Geology; Environmental science; Remote sensing; Petroleum engineering; Telecommunications; Physics; Mathematics","score_opus":0.009440998109711402,"score_gpt":0.2192711877197589,"score_spread":0.20983018961004749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043632161","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8629264,0.0004426425,0.13471101,0.00006769744,0.00003072612,0.000046360517,0.00007136629,0.00040795954,0.0012957505],"genre_scores_gemma":[0.9694564,0.00020016594,0.029732563,0.000021544362,0.0000059845993,0.000010785375,0.000040788836,0.000017212065,0.00051453046],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997949,0.000026544954,0.0000071254594,0.00005227099,0.00008439341,0.000034768847],"domain_scores_gemma":[0.9997048,0.0000984536,0.00006337067,0.000039957325,0.000074760464,0.000018639405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002704882,0.00034827026,0.00025974747,0.00044618864,0.00011231493,0.00039671548,0.00033428942,0.00047267438,0.00050876354],"category_scores_gemma":[0.00052603794,0.00019348307,0.00015457651,0.00034638483,0.000319622,0.001121849,0.00047127745,0.00024762872,0.0001234606],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035863023,0.00008479696,0.015074417,0.00028497694,0.000033427663,0.0014544368,0.00055255415,0.014713286,0.8989547,0.00083550793,0.00034297878,0.06731031],"study_design_scores_gemma":[0.00003514182,0.0009058926,0.051044133,0.000039039634,0.00009031895,0.0022311527,0.001337596,0.30261764,0.6363873,0.0017420196,0.0034875567,0.00008216892],"about_ca_topic_score_codex":0.00036392038,"about_ca_topic_score_gemma":0.0007618705,"teacher_disagreement_score":0.00050876354,"about_ca_system_score_codex":0.00013660021,"about_ca_system_score_gemma":0.00012520493,"threshold_uncertainty_score":0.001701951},"labels":[],"label_agreement":null},{"id":"W3044157698","doi":"10.1016/j.dib.2020.106050","title":"Gradient magnetometer dataset and MATLAB numerical code for simulating buried firearms at a controlled field site","year":2020,"lang":"en","type":"article","venue":"Data in Brief","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Gradiometer; Magnetometer; Computer science; MATLAB; Data set; Grid; Field (mathematics); Ground truth; Geology; Data mining; Magnetic field; Physics; Geodesy; Artificial intelligence; Mathematics","score_opus":0.04700265537999258,"score_gpt":0.3088871721026146,"score_spread":0.26188451672262203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3044157698","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14974405,0.0007073919,0.13007125,0.0017787046,0.00075302663,0.0006815364,0.62320596,0.07503531,0.018022804],"genre_scores_gemma":[0.33499554,0.00035205812,0.19095044,0.00051667285,0.0000849567,0.0012663938,0.46133286,0.0042685396,0.0062326305],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99983704,0.000031610612,0.000015268206,0.00003240248,0.000060279905,0.0000233189],"domain_scores_gemma":[0.999561,0.00015628582,0.000033373373,0.00007211275,0.00014094278,0.00003619803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041624877,0.00087532756,0.00067087106,0.00071510806,0.0002726704,0.0005151957,0.0017558961,0.00088069524,0.011375815],"category_scores_gemma":[0.0018233793,0.00031191026,0.0005794902,0.0010821538,0.000275171,0.0005095845,0.00051330973,0.0009843525,0.0043319934],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073267124,0.0006059223,0.017781572,0.0012631854,0.00028355262,0.0008016656,0.00025736637,0.44413006,0.0085724285,0.007634198,0.4598592,0.058078114],"study_design_scores_gemma":[0.0005842629,0.00011247314,0.010890346,0.00012112426,0.000058634912,0.00021535746,0.00014518661,0.84865695,0.0086515285,0.008872346,0.12159394,0.00009785676],"about_ca_topic_score_codex":0.010788719,"about_ca_topic_score_gemma":0.019880176,"teacher_disagreement_score":0.011375815,"about_ca_system_score_codex":0.00047165787,"about_ca_system_score_gemma":0.0006469955,"threshold_uncertainty_score":0.038055897},"labels":[],"label_agreement":null},{"id":"W3047930728","doi":"10.1061/9780784483206.012","title":"Prioritizing Pit Cast Iron Small Diameter Watermains for Assessment","year":2020,"lang":"en","type":"article","venue":"Pipelines 2020","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CIMA+ (Canada)","funders":"","keywords":"Cast iron; Materials science; Metallurgy; Computer science","score_opus":0.055624689790493446,"score_gpt":0.29229056154030286,"score_spread":0.2366658717498094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047930728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56238,0.00019653545,0.42840192,0.00023781878,0.000030207711,0.00033789067,0.00028296164,0.00059892354,0.007533708],"genre_scores_gemma":[0.97532254,0.000084873995,0.022262573,0.0000108685535,0.0000030729109,0.000029632369,0.000081530256,0.000023347873,0.002181663],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99959177,0.00008427051,0.000011829098,0.000055863842,0.00018420685,0.000072035036],"domain_scores_gemma":[0.99928266,0.00030304395,0.00011450582,0.000031130287,0.00020481469,0.000063957734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000805134,0.0007095591,0.00044060373,0.0011626701,0.0003606014,0.00093248533,0.00078383787,0.00073032273,0.0020571768],"category_scores_gemma":[0.001707935,0.0002959639,0.0003631261,0.00038936993,0.00036723298,0.0010750454,0.00059851044,0.00031174466,0.00035032735],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034770806,0.000115714225,0.02474098,0.00019446002,0.000029390587,0.00075566734,0.00021338911,0.83672446,0.051867638,0.0053772223,0.0015855185,0.07804772],"study_design_scores_gemma":[0.000012457494,0.0003013452,0.0072655096,0.000018613995,0.000016023252,0.000117933545,0.00017212989,0.97415763,0.013738752,0.002917542,0.0012615705,0.000020362588],"about_ca_topic_score_codex":0.009816986,"about_ca_topic_score_gemma":0.021396073,"teacher_disagreement_score":0.009816986,"about_ca_system_score_codex":0.0009629848,"about_ca_system_score_gemma":0.0014253549,"threshold_uncertainty_score":0.019519687},"labels":[],"label_agreement":null},{"id":"W3048186960","doi":"10.1061/9780784483213.039","title":"Acoustic-Based Underground Utility Mapping at the Annacis Island WWTP","year":2020,"lang":"en","type":"article","venue":"Pipelines 2020","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ground-penetrating radar; Position (finance); Radar; Civil engineering; Environmental science; Engineering; Telecommunications; Business","score_opus":0.03823341107957471,"score_gpt":0.2534108666691987,"score_spread":0.215177455589624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048186960","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9782019,0.00004016347,0.008545179,0.00010921572,0.000014472175,0.000081244245,0.0007112393,0.0007415027,0.011555008],"genre_scores_gemma":[0.9765589,0.00006257251,0.015557197,0.000019771447,0.0000056047793,0.00003903868,0.0006060059,0.0000466624,0.0071042366],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.999833,0.000019463962,0.0000041220355,0.00003467233,0.000079116966,0.000029495757],"domain_scores_gemma":[0.99970573,0.0000341074,0.000018352526,0.00001661102,0.00016919133,0.000055883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018163394,0.00025732126,0.00013860797,0.001037216,0.00041224126,0.00064980786,0.00040832793,0.00027731882,0.0022059733],"category_scores_gemma":[0.0004950056,0.0001677866,0.000079287536,0.0007296455,0.00016457982,0.00034748044,0.00050809886,0.0003197884,0.0009630182],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000783817,0.0006050498,0.25757176,0.00020578636,0.00005002827,0.0019825948,0.0038159136,0.024399562,0.2551049,0.000560032,0.00582277,0.4490977],"study_design_scores_gemma":[0.00007991551,0.00058524,0.5811888,0.000058468046,0.0000611381,0.00051709294,0.007879382,0.3500986,0.047428932,0.00048364635,0.0115289595,0.000089886205],"about_ca_topic_score_codex":0.051867895,"about_ca_topic_score_gemma":0.15680006,"teacher_disagreement_score":0.051867895,"about_ca_system_score_codex":0.00046201635,"about_ca_system_score_gemma":0.000845728,"threshold_uncertainty_score":0.10313201},"labels":[],"label_agreement":null},{"id":"W3049683608","doi":"10.1109/access.2020.3015973","title":"Partial Discharge Localization Using Electromagnetic Time Reversal: A Performance Analysis","year":2020,"lang":"en","type":"article","venue":"IEEE Access","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Shahed University; Ministry of Science Research and Technology; Deutscher Akademischer Austauschdienst; Babol Noshirvani University of Technology; University of Toronto; RWTH Aachen University; Amirkabir University of Technology; National Aeronautics and Space Administration","keywords":"Multilateration; Electromagnetic coil; Partial discharge; Transformer; Lambda; Mathematics; Algorithm; Mathematical analysis; Electrical engineering; Computer science; Acoustics; Physics; Voltage; Geometry; Optics; Engineering; Azimuth","score_opus":0.029090751327172756,"score_gpt":0.28270067391111253,"score_spread":0.2536099225839398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049683608","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22738743,0.0019505913,0.7612838,0.00025236746,0.000073283256,0.000069515656,0.00009198242,0.0029336459,0.0059573012],"genre_scores_gemma":[0.878466,0.0010984683,0.11879317,0.00005619393,0.000030723215,0.000047607744,0.00014745048,0.00011081965,0.0012496036],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999308,0.00022502274,0.000030800267,0.00008472737,0.00029325666,0.000058157733],"domain_scores_gemma":[0.99785894,0.0011373252,0.00019466359,0.0002500324,0.00051873125,0.000040380397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010959029,0.0005234628,0.000493525,0.00081280485,0.0001820997,0.0007522058,0.00066245144,0.0007643889,0.0012108277],"category_scores_gemma":[0.0040043327,0.0001533666,0.000294974,0.0008738887,0.00028043843,0.0010111054,0.00056117086,0.0003016545,0.00056003645],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018184708,0.00014634436,0.0073194476,0.0009368093,0.00019442041,0.00054418657,0.00037964742,0.22779968,0.15125848,0.006382626,0.0015528534,0.60166705],"study_design_scores_gemma":[0.000055689063,0.0007288175,0.0035019005,0.000035649024,0.00008308645,0.0010661824,0.000121422614,0.87247515,0.118202984,0.0006707695,0.0029967357,0.00006160597],"about_ca_topic_score_codex":0.001436728,"about_ca_topic_score_gemma":0.0005968212,"teacher_disagreement_score":0.001436728,"about_ca_system_score_codex":0.0003991305,"about_ca_system_score_gemma":0.0003316139,"threshold_uncertainty_score":0.005795777},"labels":[],"label_agreement":null},{"id":"W3061240648","doi":"10.1190/segam2012-0716.1","title":"Geophysical inversion for contact surfaces","year":2012,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Inversion (geology); Geophysics; Geology; Seismology","score_opus":0.021868915223919646,"score_gpt":0.26624777238092173,"score_spread":0.24437885715700208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3061240648","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08493625,0.000106990505,0.906788,0.00047158432,0.000036885434,0.000030727697,0.00028745577,0.0008717221,0.006470411],"genre_scores_gemma":[0.87703156,0.00015523995,0.11985957,0.00008547612,0.000039894592,0.00005881914,0.0005790191,0.00026238113,0.0019279001],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997198,0.000058804853,0.000010146415,0.000051890696,0.0001229845,0.000036336125],"domain_scores_gemma":[0.9992508,0.0004050697,0.00004667707,0.00011121239,0.0001428088,0.00004338339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004109788,0.00046010298,0.0004222987,0.00088679633,0.00040592867,0.0010522503,0.00082806416,0.0012083914,0.002687018],"category_scores_gemma":[0.004564183,0.0003554361,0.00048201942,0.0009108581,0.00072819996,0.0014038326,0.0012243132,0.0010852277,0.00048693514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007423661,0.000049029422,0.0049344366,0.00007523334,0.000024671606,0.00025187558,0.00027208077,0.85601455,0.01136615,0.059757333,0.0027259074,0.06445445],"study_design_scores_gemma":[0.000005568774,0.0000052255855,0.0004171263,0.0000035553217,0.0000013669078,0.000029662951,0.000047914797,0.98575425,0.0011101617,0.011351057,0.0012691999,0.0000049280698],"about_ca_topic_score_codex":0.004790702,"about_ca_topic_score_gemma":0.0036413595,"teacher_disagreement_score":0.004790702,"about_ca_system_score_codex":0.0006151608,"about_ca_system_score_gemma":0.00083856256,"threshold_uncertainty_score":0.009525597},"labels":[],"label_agreement":null},{"id":"W3091176685","doi":"10.1190/segam2020-3428369.1","title":"Machine learning for the classification of unexploded ordnance (UXO) from electromagnetic data","year":2020,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Unexploded ordnance; Clutter; Computer science; Artificial intelligence; Convolutional neural network; Artificial neural network; Machine learning; Pattern recognition (psychology); Remote sensing; Geology; Telecommunications; Radar","score_opus":0.08372594366245335,"score_gpt":0.28397729018486195,"score_spread":0.2002513465224086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091176685","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18515714,0.0010180121,0.8047815,0.0013122181,0.00023036853,0.0000763922,0.0004685533,0.0019032485,0.005052569],"genre_scores_gemma":[0.80214584,0.00069483044,0.18965556,0.00021912772,0.0001416331,0.00010078716,0.0010629689,0.000088123255,0.005891188],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997732,0.000060530445,0.000012441657,0.00006572849,0.00005448288,0.00003371318],"domain_scores_gemma":[0.99921036,0.0004314499,0.00007503792,0.00006391854,0.00019000993,0.000029167159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010776771,0.0006353359,0.00041788007,0.0008300819,0.0003661001,0.00074345875,0.0006536716,0.00077248376,0.0015810996],"category_scores_gemma":[0.0031853362,0.00022559975,0.00042081345,0.00063081976,0.00036855767,0.0007534071,0.00059279357,0.0011624668,0.000697028],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024977763,0.00016726735,0.009162686,0.00012486072,0.0001012471,0.00017126469,0.00012550288,0.38907024,0.017732685,0.005060408,0.0053857537,0.5726483],"study_design_scores_gemma":[0.000002780847,0.00001175506,0.0010264716,0.0000067145556,0.000004333594,0.00001346943,0.000014944348,0.9951558,0.0018136617,0.0014852394,0.0004599587,0.0000049363025],"about_ca_topic_score_codex":0.0040141195,"about_ca_topic_score_gemma":0.004686271,"teacher_disagreement_score":0.0040141195,"about_ca_system_score_codex":0.00074623764,"about_ca_system_score_gemma":0.00050002005,"threshold_uncertainty_score":0.007981539},"labels":[],"label_agreement":null},{"id":"W3092857960","doi":"10.5194/egusphere-egu2020-21855","title":"Combining an integrated geophysical survey into a landfill model: A case study from Emersons Green, UK","year":2020,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Environmental remediation; Environmental science; Excavation; Sampling (signal processing); Municipal solid waste; Civil engineering; Environmental engineering; Contamination; Waste management; Engineering; Geotechnical engineering","score_opus":0.06600238541167103,"score_gpt":0.3058880204349507,"score_spread":0.2398856350232797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092857960","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97044826,0.00018582694,0.0168148,0.00048352635,0.000024107478,0.00016423303,0.0013435525,0.00027960594,0.010256125],"genre_scores_gemma":[0.9801225,0.00023266862,0.014547518,0.00003764414,0.000005210543,0.00005954547,0.00089844683,0.00008297052,0.004013431],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993771,0.00031623428,0.00003791767,0.000070477545,0.00011454492,0.00008389266],"domain_scores_gemma":[0.9993849,0.00031658018,0.000036020796,0.00008154344,0.00011982442,0.00006112356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009402793,0.0006162634,0.0004572054,0.00072375045,0.000737708,0.0015599716,0.0009818125,0.0015594073,0.0036997963],"category_scores_gemma":[0.0017470737,0.0004270737,0.00068723754,0.0019996292,0.00078905915,0.0009402143,0.0010311656,0.00057077524,0.00071165274],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073323824,0.00073628745,0.08534672,0.00041908206,0.00013874235,0.013422609,0.0035551623,0.81873226,0.004471089,0.005171387,0.0051835403,0.062089913],"study_design_scores_gemma":[0.00014851439,0.0006606688,0.050283644,0.00017395095,0.00012173545,0.0009997078,0.013123629,0.90184015,0.005634727,0.0029223685,0.02396638,0.00012453357],"about_ca_topic_score_codex":0.17256187,"about_ca_topic_score_gemma":0.22188888,"teacher_disagreement_score":0.17256187,"about_ca_system_score_codex":0.0027969133,"about_ca_system_score_gemma":0.0016167638,"threshold_uncertainty_score":0.3431149},"labels":[],"label_agreement":null},{"id":"W3092999678","doi":"10.1007/s42461-020-00332-4","title":"Mapping Surface Moisture of a Gold Heap Leach Pad at the El Gallo Mine Using a UAV and Thermal Imaging","year":2020,"lang":"en","type":"article","venue":"Mining Metallurgy & Exploration","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Water content; Environmental science; Remote sensing; Moisture; Heap leaching; Ground truth; Soil science; Image resolution; Surface water; Sampling (signal processing); Homogeneity (statistics); Mining engineering; Hydrology (agriculture); Geology; Computer science; Meteorology; Environmental engineering; Materials science; Geotechnical engineering; Computer vision; Tailings; Geography","score_opus":0.04933112192299283,"score_gpt":0.2600384820271124,"score_spread":0.21070736010411956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092999678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99806017,0.000035187084,0.00055812864,0.00003987006,0.000007687454,0.000007372393,0.00019146026,0.00004747759,0.0010525517],"genre_scores_gemma":[0.9987035,0.000025698868,0.00083239283,0.000013050133,0.0000034973446,0.0000037939246,0.00009403985,0.0000059443346,0.0003181476],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999337,0.000004150736,0.000002061354,0.000017665603,0.000020746082,0.000021649303],"domain_scores_gemma":[0.9999497,0.000007732417,0.0000071269296,0.0000044901763,0.000016578588,0.000014331806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000072408155,0.00019705402,0.000239116,0.00046537892,0.00037592242,0.00028741636,0.0002552735,0.00041346863,0.0005092014],"category_scores_gemma":[0.00011096711,0.00015004157,0.00018955233,0.00024973537,0.00022083406,0.0003096549,0.0002986427,0.00025625795,0.00015019243],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00079628284,0.0003245966,0.31053972,0.00014332838,0.00015886337,0.004059033,0.0018737791,0.014617605,0.62074786,0.0003464145,0.0023571828,0.044035327],"study_design_scores_gemma":[0.000034144996,0.00016508362,0.9373731,0.000021534097,0.00006651459,0.0007075969,0.0018977749,0.036565788,0.021439847,0.00014335822,0.0015500202,0.000035380654],"about_ca_topic_score_codex":0.010249704,"about_ca_topic_score_gemma":0.025027812,"teacher_disagreement_score":0.010249704,"about_ca_system_score_codex":0.00020816037,"about_ca_system_score_gemma":0.00031398266,"threshold_uncertainty_score":0.02038008},"labels":[],"label_agreement":null},{"id":"W3093860097","doi":"10.29173/topo40","title":"Groat Road Bridge","year":2017,"lang":"fr","type":"article","venue":"Topophilia","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bridge (graph theory); Medicine","score_opus":0.04357396517879507,"score_gpt":0.3163365866715155,"score_spread":0.2727626214927204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093860097","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016324047,0.00038672064,0.001183872,0.0016786568,0.0009895801,0.00009864541,0.0028993667,0.0010742076,0.99005646],"genre_scores_gemma":[0.0040629683,0.00020551738,0.0010378641,0.0005824547,0.00015184657,0.000037012767,0.0023270033,0.00057007803,0.9910253],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985983,0.00010428077,0.000025376889,0.00035737987,0.0006503529,0.00026433644],"domain_scores_gemma":[0.9986823,0.00012202221,0.000038604656,0.00015987061,0.00057719275,0.0004200709],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005942403,0.0011974011,0.00078098045,0.0020922679,0.004498948,0.0035800252,0.0023484407,0.0032935054,0.80838144],"category_scores_gemma":[0.001642241,0.0006223548,0.00078647345,0.0012465584,0.0011373889,0.0018923213,0.00535781,0.002848223,0.6484863],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014929565,0.00010912947,0.00039927612,0.00007027676,0.000006735758,0.00033660565,0.00008712957,0.00016180333,0.0010328352,0.009957544,0.89317364,0.09451571],"study_design_scores_gemma":[0.000021730446,0.000039857718,0.00096685556,0.00004190611,0.0000024780654,0.0001638709,0.0000738858,0.00012885629,0.0003554506,0.0012686988,0.99692553,0.000010761619],"about_ca_topic_score_codex":0.014623246,"about_ca_topic_score_gemma":0.048995513,"teacher_disagreement_score":0.80838144,"about_ca_system_score_codex":0.0016955619,"about_ca_system_score_gemma":0.0033485326,"threshold_uncertainty_score":0.27332056},"labels":[],"label_agreement":null},{"id":"W3094019439","doi":"10.23919/ursigass49373.2020.9232216","title":"The Implementation of Neural Networks for Phaseless Parametric Inversion","year":2020,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Bin; Inversion (geology); Artificial neural network; Parametric statistics; Synthetic data; Algorithm; Computer science; Inverse transform sampling; Parametric model; Experimental data; Artificial intelligence; Mathematics; Geology; Statistics","score_opus":0.028758582539382946,"score_gpt":0.3118533758348452,"score_spread":0.2830947932954622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094019439","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010927212,0.00007356114,0.9855688,0.000115899005,0.000033836273,0.000024557907,0.00005645187,0.0008740019,0.0023256429],"genre_scores_gemma":[0.34809792,0.0001250222,0.6473795,0.00009344577,0.000034624765,0.00017976297,0.00019923618,0.00013692702,0.0037535809],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998022,0.000053018422,0.000010942222,0.000036311336,0.00007583197,0.000021737811],"domain_scores_gemma":[0.9996001,0.00017433231,0.000028686607,0.00006810169,0.00011728723,0.000011440829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005517072,0.00041275524,0.00019726872,0.00023310784,0.0002488984,0.00048676762,0.0008561152,0.0005516717,0.0022888551],"category_scores_gemma":[0.002347066,0.00023579002,0.00020993954,0.00028243178,0.0003404503,0.00068919733,0.0005376742,0.0008590807,0.000611576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000086012275,0.00005952898,0.0009145282,0.00006525795,0.000039113474,0.00006538553,0.000050885796,0.7097818,0.013684709,0.027844882,0.0016697115,0.24573824],"study_design_scores_gemma":[0.0000022012855,0.000008199354,0.00006899391,0.0000025659149,0.0000016669409,0.000007635425,0.0000022770826,0.99402434,0.002712621,0.002423482,0.00074323657,0.0000028974785],"about_ca_topic_score_codex":0.004163875,"about_ca_topic_score_gemma":0.005021774,"teacher_disagreement_score":0.004163875,"about_ca_system_score_codex":0.00048415796,"about_ca_system_score_gemma":0.0006190638,"threshold_uncertainty_score":0.008279264},"labels":[],"label_agreement":null},{"id":"W3094461265","doi":"10.32389/jeeg20-001","title":"Depth Sensitivity of Apparent Magnetic Susceptibility Measurements using Multi-coil and Multi-frequency Electromagnetic Induction","year":2020,"lang":"en","type":"article","venue":"Journal of Environmental and Engineering Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Electromagnetic induction; Loam; Electromagnetic coil; EMI; Induction coil; Geology; Sensitivity (control systems); Electrical resistivity and conductivity; Soil water; Inductive sensor; Conductivity; Soil science; Search coil; Magnetotellurics; Materials science; Electromagnetic interference; Geophysics; Acoustics; Magnetic field; Electrical engineering; Physics; Electronic engineering; Engineering","score_opus":0.03536559642102601,"score_gpt":0.22305242133577383,"score_spread":0.1876868249147478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094461265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98805016,0.00024193228,0.010959269,0.00002622625,0.000013579333,0.000017555409,0.00008515485,0.00009465029,0.000511497],"genre_scores_gemma":[0.99441767,0.00008437629,0.0051510306,0.000025685453,0.0000048829074,0.000007905714,0.000038805963,0.0000048663815,0.0002648555],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996426,0.000041426025,0.000013256093,0.00009524283,0.00015703817,0.000050417653],"domain_scores_gemma":[0.999374,0.00018970299,0.0001582089,0.000040713752,0.00019648149,0.00004094005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026224556,0.00036932016,0.00024307589,0.00036431506,0.00010148205,0.00026013533,0.00025447647,0.00033214386,0.00046358578],"category_scores_gemma":[0.0007794489,0.00019510144,0.000099765784,0.00017878557,0.00026788886,0.0002784339,0.00041788362,0.00024417575,0.000112095695],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020123528,0.000018195258,0.0118788965,0.00007612381,0.000018609986,0.00004006973,0.0000753032,0.0011250912,0.9775164,0.000027906355,0.00003616717,0.008985922],"study_design_scores_gemma":[0.000018650528,0.00087585166,0.1444799,0.000018742066,0.00006968366,0.00049489795,0.0002997264,0.022558535,0.82990956,0.00008981525,0.0011454918,0.00003914379],"about_ca_topic_score_codex":0.002856026,"about_ca_topic_score_gemma":0.0060642636,"teacher_disagreement_score":0.002856026,"about_ca_system_score_codex":0.00036820807,"about_ca_system_score_gemma":0.000119978715,"threshold_uncertainty_score":0.005678773},"labels":[],"label_agreement":null},{"id":"W3096350829","doi":"10.3389/fmars.2020.531293","title":"Multi-Layered High Permeability Conduits Connecting Onshore and Offshore Coastal Aquifers","year":2020,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"H2020 European Research Council; European Commission","keywords":"Geology; Hydrogeology; Aquifer; Groundwater; Submarine pipeline; Hydrology (agriculture); Alluvium; Groundwater flow; Geomorphology; Geotechnical engineering","score_opus":0.022036547318362614,"score_gpt":0.2551251103915197,"score_spread":0.2330885630731571,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096350829","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99827635,0.000030679752,0.0011748986,0.000010711282,5.805809e-7,0.0000056652443,0.00004575404,0.00002302328,0.0004323748],"genre_scores_gemma":[0.9987172,0.000026040296,0.0009998888,0.000004333502,6.555526e-7,0.0000029851885,0.000027976512,0.0000019080587,0.0002191177],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999961,0.0000028041625,0.0000019161005,0.000012904277,0.000008879432,0.000012587078],"domain_scores_gemma":[0.9999087,0.000017199905,0.000041875468,0.000004643467,0.000013235339,0.000014409788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000046835983,0.00018462271,0.00009903849,0.00072476047,0.00019271787,0.0004527041,0.00015493036,0.00014084212,0.00058581936],"category_scores_gemma":[0.00023900384,0.00017922491,0.000060018105,0.000430764,0.00038327972,0.0002817293,0.0003622275,0.000119124634,0.000068086236],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027826635,0.00006481253,0.45673865,0.0001551084,0.00006237865,0.001914191,0.0023083747,0.006550786,0.48218638,0.000955421,0.00024968127,0.04853591],"study_design_scores_gemma":[0.00000947798,0.00004975274,0.9830445,0.000015022028,0.000020516589,0.00035426553,0.0010986368,0.007151722,0.0075501045,0.00026778318,0.00042206264,0.00001604739],"about_ca_topic_score_codex":0.012092134,"about_ca_topic_score_gemma":0.025696356,"teacher_disagreement_score":0.012092134,"about_ca_system_score_codex":0.00021074696,"about_ca_system_score_gemma":0.0002314493,"threshold_uncertainty_score":0.0240435},"labels":[],"label_agreement":null},{"id":"W3100293748","doi":"10.1190/gpr2020-052.1","title":"Material property predictions based on GPR attributes: Testing on concrete pedestrian bridge","year":2020,"lang":"en","type":"article","venue":"18th International Conference on Ground Penetrating Radar, Golden, Colorado, 14–19 June 2020","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Outotec (Canada)","funders":"","keywords":"Bridge (graph theory); Ground-penetrating radar; Pedestrian; Property (philosophy); Computer science; Structural engineering; Engineering; Civil engineering; Radar","score_opus":0.08986876911020888,"score_gpt":0.29106509723102403,"score_spread":0.20119632812081514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3100293748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99537814,0.000019909305,0.0040069898,0.000024274432,0.000005080934,0.000009696111,0.000062333726,0.000085149906,0.0004084624],"genre_scores_gemma":[0.9979607,0.000017483935,0.0016990685,0.0000048845855,9.267932e-7,0.000005223142,0.00007116393,0.0000050566578,0.0002355454],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99979955,0.000043372165,0.000010324551,0.00005094976,0.00007143962,0.000024335728],"domain_scores_gemma":[0.9993231,0.00030429257,0.000067061424,0.00009834959,0.00015056824,0.000056602243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077917415,0.0005748155,0.00032108495,0.000281598,0.00015237743,0.0002218769,0.00043412636,0.0006948933,0.00064237596],"category_scores_gemma":[0.0016063375,0.00018234731,0.00026650913,0.00022993294,0.0003169245,0.00048780086,0.00032606907,0.0003160582,0.00024529602],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012028274,0.0011512864,0.053107362,0.00013068147,0.00008014894,0.00053365633,0.00025327635,0.7620651,0.1326498,0.0005754122,0.0006601916,0.04759023],"study_design_scores_gemma":[0.000025558245,0.0015304218,0.014442292,0.000009381976,0.000016201235,0.00007069812,0.00008542074,0.9411906,0.04224086,0.00016729736,0.00020464107,0.000016673663],"about_ca_topic_score_codex":0.00319416,"about_ca_topic_score_gemma":0.0031503981,"teacher_disagreement_score":0.00319416,"about_ca_system_score_codex":0.0002061764,"about_ca_system_score_gemma":0.00027536074,"threshold_uncertainty_score":0.0063511133},"labels":[],"label_agreement":null},{"id":"W3101210944","doi":"10.1190/gpr2020-038.1","title":"Insights gained after five years of continuous GPR use in potash mines","year":2020,"lang":"en","type":"article","venue":"18th International Conference on Ground Penetrating Radar, Golden, Colorado, 14–19 June 2020","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Nutrasource","funders":"","keywords":"Potash; Ground-penetrating radar; Mining engineering; Hazardous waste; Geology; Mine safety; Radar; Archaeology; Engineering; Geography; Waste management; Coal mining; Telecommunications","score_opus":0.033379410597866074,"score_gpt":0.2699544136480092,"score_spread":0.23657500305014312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3101210944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99168277,0.0006559202,0.0014597873,0.00042828062,0.0000433563,0.00003654701,0.00030744763,0.000028658433,0.0053572007],"genre_scores_gemma":[0.9940446,0.0010271742,0.0014861427,0.00022409704,0.000025037349,0.000013799854,0.00042181546,0.000025685269,0.0027316783],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99848723,0.00034381554,0.00007903874,0.00020519535,0.000588867,0.00029588141],"domain_scores_gemma":[0.99764544,0.0007746242,0.00028671758,0.00013349662,0.0010143963,0.00014537778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002006265,0.00039956014,0.00045954244,0.0009780863,0.0008688283,0.0017393867,0.00075326057,0.0011457916,0.00085141056],"category_scores_gemma":[0.0036202439,0.00022477891,0.00033694206,0.0011127653,0.0008863237,0.0012795938,0.0010810832,0.0009788722,0.00050111406],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018953461,0.0013139432,0.41331977,0.0016535618,0.00023818467,0.01714769,0.12013707,0.0034568289,0.077082895,0.002079005,0.009731355,0.35194433],"study_design_scores_gemma":[0.00002305763,0.0029971867,0.77253336,0.00054299633,0.00025563067,0.0062517365,0.13258176,0.003768437,0.023883417,0.0008311005,0.056117106,0.00021425678],"about_ca_topic_score_codex":0.009693478,"about_ca_topic_score_gemma":0.022209961,"teacher_disagreement_score":0.009693478,"about_ca_system_score_codex":0.0011592711,"about_ca_system_score_gemma":0.00048624424,"threshold_uncertainty_score":0.019274116},"labels":[],"label_agreement":null},{"id":"W3102156449","doi":"10.1016/j.ultras.2020.106301","title":"Transverse-to-transverse diffuse ultrasonic double scattering","year":2020,"lang":"en","type":"article","venue":"Ultrasonics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Education and Child Care","funders":"National Key Research and Development Program of China","keywords":"Transverse plane; Scattering; Backscatter (email); Physics; Optics; Ultrasonic sensor; Transducer; Computational physics; Acoustics; Telecommunications; Computer science; Structural engineering","score_opus":0.023589603941726357,"score_gpt":0.23931117448022332,"score_spread":0.21572157053849697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3102156449","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08439957,0.0008894852,0.8843322,0.0003166534,0.0004301257,0.00009171425,0.00048286712,0.0010055022,0.028051972],"genre_scores_gemma":[0.6796419,0.00321389,0.24603143,0.00061014737,0.0003272924,0.00023396008,0.0017987387,0.0009576152,0.067185074],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994031,0.000060409213,0.000021610842,0.00016899516,0.0002743907,0.0000715976],"domain_scores_gemma":[0.9992274,0.000117070085,0.00009185827,0.00019292373,0.00030576,0.00006503894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005986223,0.0019960734,0.00057750195,0.0009445223,0.00055847754,0.0012825185,0.0007553685,0.000749849,0.0067238556],"category_scores_gemma":[0.001513042,0.0005089224,0.00070379634,0.0012039749,0.0009539056,0.0015177636,0.0022244798,0.0013683842,0.0014561727],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010974606,0.00020590963,0.006924677,0.0005047488,0.00015146335,0.0007806609,0.00064381893,0.025252512,0.6210818,0.17766479,0.0052580032,0.16043417],"study_design_scores_gemma":[0.00011402511,0.0005734235,0.012206908,0.0001528274,0.00021143873,0.0047327885,0.0009449224,0.405797,0.4752033,0.05547707,0.044296592,0.00028969618],"about_ca_topic_score_codex":0.00092887675,"about_ca_topic_score_gemma":0.0015547889,"teacher_disagreement_score":0.0067238556,"about_ca_system_score_codex":0.00059558474,"about_ca_system_score_gemma":0.0010425076,"threshold_uncertainty_score":0.022493541},"labels":[],"label_agreement":null},{"id":"W3105157974","doi":"10.1190/gpr2020-012.1","title":"Sensing houses: New investigations of ground-penetrating radar at Tsimshian Village sites on the northern northwest coast","year":2020,"lang":"en","type":"article","venue":"18th International Conference on Ground Penetrating Radar, Golden, Colorado, 14–19 June 2020","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Alberta","funders":"","keywords":"Ground-penetrating radar; Remote sensing; Geology; Radar; Archaeology; Geography; Engineering; Telecommunications","score_opus":0.0538103046925012,"score_gpt":0.27234043668087243,"score_spread":0.21853013198837123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3105157974","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99908364,0.000017334894,0.00009755321,0.000027022306,0.0000012335562,0.000011090123,0.00006807935,0.0000023705036,0.0006917691],"genre_scores_gemma":[0.99795616,0.00007509196,0.0008169343,0.000034315537,0.000007469104,0.000015199077,0.00024583814,0.000003486073,0.0008454705],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998198,0.00004291604,0.000009406666,0.000034377816,0.00005377669,0.0000397233],"domain_scores_gemma":[0.99972516,0.000046856345,0.000066417495,0.000033344462,0.000080300284,0.000047866975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031227147,0.00020569102,0.00016279025,0.00086274964,0.0010081106,0.00045434383,0.00038041983,0.0003504518,0.00059587456],"category_scores_gemma":[0.0004271297,0.00025429312,0.000110222136,0.0012633945,0.00060900627,0.00045818358,0.00060604134,0.00027359955,0.00021290989],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000108176704,0.00029835975,0.8994015,0.00010826505,0.000028192195,0.0054302667,0.047257215,0.0005527336,0.01680845,0.00031279196,0.0014115873,0.028282488],"study_design_scores_gemma":[0.0000035578087,0.00008836522,0.9739589,0.00001131828,0.0000096243775,0.000600121,0.023020944,0.0007936418,0.00041657526,0.000040011077,0.0010485378,0.000008444499],"about_ca_topic_score_codex":0.04223958,"about_ca_topic_score_gemma":0.1981089,"teacher_disagreement_score":0.9577604,"about_ca_system_score_codex":0.00035767202,"about_ca_system_score_gemma":0.00037956453,"threshold_uncertainty_score":0.083987415},"labels":[],"label_agreement":null},{"id":"W3108140760","doi":"10.1190/tle39120883.1","title":"Using geodetic data in geothermal areas","year":2020,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geodetic datum; Geothermal gradient; Deformation monitoring; Geology; Interferometric synthetic aperture radar; Remote sensing; Geodesy; Field (mathematics); Geothermal energy; Synthetic aperture radar; Deformation (meteorology); Seismology; Geophysics","score_opus":0.15940740665586417,"score_gpt":0.33400519369144227,"score_spread":0.1745977870355781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108140760","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3309893,0.09617855,0.39477533,0.014532919,0.0020987282,0.00028167383,0.021759842,0.002146663,0.137237],"genre_scores_gemma":[0.86518437,0.026458377,0.0987863,0.00068605697,0.00051592325,0.00006862438,0.0043231556,0.0000638695,0.0039133225],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992256,0.00030947136,0.000060981656,0.00015262341,0.00022066126,0.00003067825],"domain_scores_gemma":[0.998713,0.00045230138,0.0002548581,0.0001498122,0.00038723636,0.000042690368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001203506,0.00036385359,0.00030481897,0.0026602168,0.00018880231,0.0021318996,0.0004293912,0.00050345674,0.0013201312],"category_scores_gemma":[0.0030597523,0.00015340887,0.00020314883,0.0059381947,0.00039775608,0.0013740276,0.0007851031,0.00045819083,0.0005744562],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011219097,0.0000804759,0.12600543,0.0013230358,0.00024733727,0.00044836782,0.0005326092,0.031114029,0.008565076,0.03358639,0.019705871,0.7782792],"study_design_scores_gemma":[0.00006127335,0.0001834688,0.24377319,0.0034258075,0.0003038733,0.0010586233,0.0034622352,0.12516631,0.025193136,0.0961375,0.5010333,0.00020128653],"about_ca_topic_score_codex":0.0060558165,"about_ca_topic_score_gemma":0.01093084,"teacher_disagreement_score":0.0060558165,"about_ca_system_score_codex":0.00041548407,"about_ca_system_score_gemma":0.00046039606,"threshold_uncertainty_score":0.012041092},"labels":[],"label_agreement":null},{"id":"W31107454","doi":"10.3791/59531","title":"Erbicidi di post-emergenza su frumento duro","year":2005,"lang":"en","type":"article","venue":"Informatore agrario","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Computer science","score_opus":0.007245541912871065,"score_gpt":0.2227037165150378,"score_spread":0.2154581746021667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W31107454","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75811064,0.0979039,0.037476797,0.00491575,0.008632245,0.0006087753,0.0047832835,0.0024362048,0.085132405],"genre_scores_gemma":[0.78214526,0.03271754,0.015028498,0.0030916168,0.0031022655,0.00068225275,0.0060357065,0.00076154794,0.15643531],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9996325,0.000043795484,0.000023515253,0.00009585384,0.00007787899,0.00012645095],"domain_scores_gemma":[0.99969256,0.000059479895,0.000041570293,0.00006789734,0.00006749597,0.000071024544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004400453,0.0006542285,0.00072812295,0.0006190995,0.00041996065,0.00071720814,0.0004182429,0.00072688266,0.008245154],"category_scores_gemma":[0.0005149269,0.00015232281,0.0006424467,0.00039361182,0.00030068515,0.00032104665,0.00053688657,0.0012442991,0.008567074],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004139242,0.001009168,0.0074514886,0.000663558,0.00010472857,0.0031971403,0.00019749912,0.00036960555,0.6186758,0.0025606677,0.015088647,0.34654248],"study_design_scores_gemma":[0.00029286224,0.003843514,0.04770484,0.00023475119,0.00022782155,0.011640282,0.0001504716,0.0014993933,0.47781336,0.00081181905,0.45572248,0.000058386893],"about_ca_topic_score_codex":0.0011428348,"about_ca_topic_score_gemma":0.0008336655,"teacher_disagreement_score":0.008245154,"about_ca_system_score_codex":0.00064550654,"about_ca_system_score_gemma":0.00044963742,"threshold_uncertainty_score":0.027582765},"labels":[],"label_agreement":null},{"id":"W3113174317","doi":"10.1016/j.wasman.2020.11.033","title":"Enhanced GPR data interpretation to estimate in situ water saturation in a landfill","year":2020,"lang":"en","type":"article","venue":"Waste Management","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ground-penetrating radar; Saturation (graph theory); Soil science; Offset (computer science); Water content; Environmental science; Engineering; Geotechnical engineering; Mathematics; Computer science; Radar","score_opus":0.02028068881171522,"score_gpt":0.28809236438811,"score_spread":0.26781167557639474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113174317","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9790248,0.000043286964,0.019342033,0.00005087315,0.000010498148,0.0000098357605,0.00015519114,0.00028138113,0.0010820137],"genre_scores_gemma":[0.9930004,0.000024490268,0.006572557,0.000011338703,0.000003652317,0.0000043277473,0.00006509143,0.000013404952,0.0003048658],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998976,0.000025645078,0.000007116072,0.000019355706,0.000030563104,0.000019748195],"domain_scores_gemma":[0.99985325,0.00005296842,0.0000151124905,0.000015413334,0.000053985474,0.000009233113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026077876,0.00028842656,0.00034427783,0.00047826878,0.00021852067,0.00039868845,0.0003037789,0.00046492094,0.0005435694],"category_scores_gemma":[0.0003628565,0.0001643659,0.0001788246,0.00049720163,0.00019448684,0.00037333142,0.00029259827,0.0002191792,0.00014145464],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018764082,0.00046121838,0.094388895,0.00021753715,0.00008671733,0.0013153245,0.00083153375,0.07655404,0.67323136,0.00060496986,0.0013768848,0.14905514],"study_design_scores_gemma":[0.000063879306,0.0004616224,0.11491785,0.000022976054,0.00012879436,0.00061225705,0.000909131,0.68965495,0.1903637,0.0007746034,0.0020387575,0.000051515108],"about_ca_topic_score_codex":0.0015274785,"about_ca_topic_score_gemma":0.0019290163,"teacher_disagreement_score":0.0015274785,"about_ca_system_score_codex":0.00016435164,"about_ca_system_score_gemma":0.00025386698,"threshold_uncertainty_score":0.0030372143},"labels":[],"label_agreement":null},{"id":"W3113543587","doi":"10.1155/2020/8846955","title":"A 3D Image Reconstruction Model for Long Tunnel Geological Estimation","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Chang'an University; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Ground-penetrating radar; Excavation; Process (computing); Filter (signal processing); Computer vision; Visualization; Computer science; Position (finance); Artificial intelligence; Radar; Face (sociological concept); Geology; Geotechnical engineering","score_opus":0.020204698213429288,"score_gpt":0.2699581112260405,"score_spread":0.24975341301261123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113543587","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006603633,0.00013646249,0.98940325,0.00008634188,0.00003218171,0.000051404113,0.00032723512,0.0011849337,0.0021746026],"genre_scores_gemma":[0.32431763,0.001283427,0.6610736,0.00010362109,0.000045176843,0.00032719594,0.0026113607,0.00043858218,0.009799325],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997528,0.000030438494,0.000016293856,0.00007508968,0.00010170238,0.000023665],"domain_scores_gemma":[0.9998456,0.000025873776,0.000020973454,0.000031061976,0.000066674926,0.000009867734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000314313,0.0008334801,0.0004926949,0.0010752631,0.00031820184,0.0013092009,0.0009502432,0.0010498946,0.0057590012],"category_scores_gemma":[0.00067424326,0.00055940053,0.0015715903,0.0010962428,0.0003496564,0.00092268636,0.0009174428,0.00081761956,0.0023770526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013524077,0.000049259077,0.0023315453,0.00021017033,0.000057634257,0.00062974397,0.0002524453,0.72490877,0.023942756,0.011896275,0.00466649,0.23091969],"study_design_scores_gemma":[0.000004554917,0.000023152697,0.0005374023,0.000016608508,0.000015503007,0.00017825986,0.00004042684,0.9896039,0.0030498137,0.0012056192,0.0053024963,0.000022305732],"about_ca_topic_score_codex":0.009080312,"about_ca_topic_score_gemma":0.0055215326,"teacher_disagreement_score":0.009080312,"about_ca_system_score_codex":0.00038842254,"about_ca_system_score_gemma":0.0010922165,"threshold_uncertainty_score":0.01926577},"labels":[],"label_agreement":null},{"id":"W3123111158","doi":"10.3934/geosci.2021002","title":"The technical challenges and outcomes of ground-penetrating radar: A site-specific example from Joggins, Nova Scotia","year":2021,"lang":"en","type":"article","venue":"AIMS Geosciences","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Geology; Outcrop; Ground-penetrating radar; Geologic map; Geomorphology; Sedimentary depositional environment; Radar; Remote sensing; Structural basin; Engineering","score_opus":0.04380378445040031,"score_gpt":0.2709114807348371,"score_spread":0.2271076962844368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123111158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9851,0.00032815558,0.00050612853,0.00024724746,0.000016301872,0.000086639935,0.00049895153,0.000026944179,0.013189631],"genre_scores_gemma":[0.9940303,0.00023660764,0.0010975815,0.00007660537,0.0000051806974,0.000016568936,0.0002687439,0.000012114304,0.0042563146],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996699,0.00005129611,0.0000107218475,0.000048255562,0.000119256685,0.00010051369],"domain_scores_gemma":[0.999298,0.00012975493,0.0000613845,0.00005346387,0.0003371736,0.000120276054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039316458,0.00026334374,0.00016380484,0.0006619264,0.0014038233,0.0008645909,0.00038666266,0.00032881805,0.00080234197],"category_scores_gemma":[0.0008384974,0.00013916977,0.000102022015,0.0009031417,0.00071985874,0.00016756772,0.000507453,0.00025634203,0.00028114705],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00083695044,0.00025465805,0.8207566,0.0004715766,0.0001050144,0.023004679,0.008793948,0.006472663,0.052519374,0.0009808907,0.004233063,0.08157059],"study_design_scores_gemma":[0.000020346504,0.000120929086,0.9813369,0.000055584074,0.000024326668,0.0015992832,0.006616037,0.0016006872,0.0020273665,0.00007583008,0.006499832,0.000022940221],"about_ca_topic_score_codex":0.8022558,"about_ca_topic_score_gemma":0.96337235,"teacher_disagreement_score":0.19774419,"about_ca_system_score_codex":0.0028628595,"about_ca_system_score_gemma":0.0039102375,"threshold_uncertainty_score":0.39781743},"labels":[],"label_agreement":null},{"id":"W3124876878","doi":"10.14447/jnmes.v23i4.a06","title":"Evaluation of Cumulative Damage of Sandstone under Cyclic Wetting and Drying through Acoustic Wave Parameters and Resistivity Testing","year":2020,"lang":"en","type":"article","venue":"Journal of New Materials for Electrochemical Systems","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Chongqing Jiaotong University; National Natural Science Foundation of China","keywords":"Electrical resistivity and conductivity; Wetting; Geotechnical engineering; Attenuation; Geology; Materials science; Soil science; Composite material; Engineering; Optics; Physics","score_opus":0.11354254587325932,"score_gpt":0.32142594523884327,"score_spread":0.20788339936558395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124876878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969632,0.000053851305,0.0026949674,0.0000046361642,0.0000025915908,0.000006870809,0.000043673295,0.000021432767,0.00020883564],"genre_scores_gemma":[0.99840707,0.000050459705,0.001218411,0.000003998768,0.0000011162202,0.0000028816141,0.000039650455,0.0000044042495,0.0002720925],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99983263,0.000010469778,0.000011301146,0.000028733288,0.00010079145,0.000016026253],"domain_scores_gemma":[0.99963653,0.00008417027,0.000098731296,0.000042391574,0.00010845446,0.000029685956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025812822,0.00021924253,0.00017732887,0.00061776326,0.00016057109,0.00015933249,0.0001834075,0.00022124735,0.0004467589],"category_scores_gemma":[0.0006146755,0.00011825407,0.00019925245,0.00028799954,0.0002493685,0.00027159575,0.00019426688,0.00017172229,0.000073310395],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020156102,0.00006634902,0.06951241,0.00013761163,0.00003866939,0.00042531278,0.00041493736,0.0077745835,0.8830468,0.00011384549,0.000079268495,0.03818872],"study_design_scores_gemma":[0.00000984108,0.0012296812,0.34021136,0.000017684306,0.00008447063,0.00068589026,0.00065240957,0.05688311,0.5989181,0.00020731101,0.001052635,0.000047508347],"about_ca_topic_score_codex":0.0014578967,"about_ca_topic_score_gemma":0.0043937527,"teacher_disagreement_score":0.0014578967,"about_ca_system_score_codex":0.00012935165,"about_ca_system_score_gemma":0.0000830725,"threshold_uncertainty_score":0.0028987527},"labels":[],"label_agreement":null},{"id":"W3125860312","doi":"10.1115/ipc2020-9786","title":"Operational Modal Response Characterization of a Buried Pipe Structure","year":2020,"lang":"en","type":"article","venue":"Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Accelerometer; Vibration; Acoustics; Modal analysis; Modal; Shaker; Structural engineering; Modal testing; Structural health monitoring; Frequency response; Transient response; Sensitivity (control systems); Engineering; Materials science; Computer science; Electronic engineering; Physics; Electrical engineering","score_opus":0.012014793636509426,"score_gpt":0.22654063504075464,"score_spread":0.21452584140424522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125860312","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914932,0.000026022517,0.008041234,0.000009235506,0.0000028902436,0.0000062064655,0.00004431052,0.000059675356,0.00031721272],"genre_scores_gemma":[0.9988121,0.000009884919,0.0009279679,0.0000028540655,7.463147e-7,0.0000028337813,0.00003185445,0.0000025608383,0.00020930056],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999856,0.00001832632,0.000004922002,0.000028378836,0.00007109899,0.000021281581],"domain_scores_gemma":[0.99975556,0.000054678152,0.0000651128,0.00002393263,0.000078643105,0.000022131046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014352499,0.00029319024,0.00015990033,0.00028773551,0.00008578197,0.000119558106,0.00023075058,0.00023980824,0.0009849416],"category_scores_gemma":[0.00030324535,0.00011200135,0.000101429905,0.00011006344,0.00021952932,0.00016727413,0.00020046424,0.00011221367,0.000104776016],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014515195,0.000034798515,0.0051856292,0.000041929292,0.0000066348416,0.000099644625,0.00009543523,0.0027428353,0.9825044,0.000043070417,0.00005185216,0.009048682],"study_design_scores_gemma":[0.000027311566,0.0025190797,0.16816151,0.000028861343,0.00004058714,0.0004435589,0.00042518976,0.1279125,0.6991168,0.0002019012,0.0010830646,0.000039614435],"about_ca_topic_score_codex":0.00034102963,"about_ca_topic_score_gemma":0.00042132038,"teacher_disagreement_score":0.0009849416,"about_ca_system_score_codex":0.00011240579,"about_ca_system_score_gemma":0.000064346415,"threshold_uncertainty_score":0.0032949448},"labels":[],"label_agreement":null},{"id":"W3126051646","doi":"10.1049/sil2.12011","title":"Robust Wiener filter‐based time gating method for detection of shallowly buried objects","year":2021,"lang":"en","type":"article","venue":"IET Signal Processing","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Constant false alarm rate; Clutter; Wiener filter; Computer science; Gating; Filter (signal processing); Detector; Artificial intelligence; Object detection; Pattern recognition (psychology); Computer vision; Matched filter; Algorithm; Radar; Telecommunications","score_opus":0.028736012525713044,"score_gpt":0.27448226309363344,"score_spread":0.2457462505679204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126051646","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010538656,0.00012662311,0.98870426,0.000018761957,0.00002131398,0.000014347025,0.000013145473,0.00027537806,0.0002874236],"genre_scores_gemma":[0.24671502,0.0003893082,0.74940616,0.00007032904,0.00004736109,0.000072102805,0.00013842042,0.0000792078,0.0030821525],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996425,0.00005593006,0.000023220213,0.00007844254,0.00016466892,0.00003518202],"domain_scores_gemma":[0.999666,0.00009377763,0.00006465978,0.000041241954,0.00010810923,0.000026160538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047201142,0.00066829426,0.00069129973,0.0006717655,0.00017741529,0.00051788596,0.00056212425,0.0005468198,0.0012031376],"category_scores_gemma":[0.0008745123,0.000279105,0.0005267416,0.00038209444,0.00031700215,0.0006113144,0.00055540714,0.0005030041,0.00064620085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003181564,0.00008851495,0.0008170972,0.00012312159,0.00006599065,0.00014470416,0.0001122373,0.041562475,0.47195303,0.008729073,0.00082432455,0.4752613],"study_design_scores_gemma":[0.000021775428,0.00023273399,0.001600563,0.00001816056,0.00004871512,0.0003267936,0.000018316508,0.8625963,0.12940255,0.002418317,0.003267863,0.000047935122],"about_ca_topic_score_codex":0.00062957586,"about_ca_topic_score_gemma":0.00068159844,"teacher_disagreement_score":0.0012031376,"about_ca_system_score_codex":0.00026349368,"about_ca_system_score_gemma":0.00060216844,"threshold_uncertainty_score":0.004024923},"labels":[],"label_agreement":null},{"id":"W3129036666","doi":"10.2749/vancouver.2017.3084","title":"Geometric effects on Ultrasonic Pulse Velocity Method for Structural Assessment – Experimental Study on Mortar Specimens","year":2017,"lang":"en","type":"article","venue":"Report","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Ultrasonic sensor; Mortar; Acoustics; Transducer; Materials science; Ultrasonic testing; Laser Doppler vibrometer; Nondestructive testing; Structural engineering; Engineering; Composite material; Optics; Laser; Physics; Laser beams","score_opus":0.03387214685049599,"score_gpt":0.39982199353786374,"score_spread":0.36594984668736774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3129036666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9743294,0.00047489294,0.023153493,0.000028201282,0.000049324077,0.00005415506,0.00010890127,0.00014438099,0.0016572595],"genre_scores_gemma":[0.99127734,0.00017123029,0.007123874,0.000008556169,0.0000075651647,0.000022027109,0.00009160439,0.000024940948,0.0012728833],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999049,0.00016682594,0.00004472755,0.00013973807,0.0005434623,0.000056145283],"domain_scores_gemma":[0.99760276,0.001014278,0.00028379372,0.00037271908,0.0006361509,0.00009036255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008309081,0.00043879327,0.00018740159,0.0006144951,0.00021973078,0.00017137044,0.00040019446,0.0004450538,0.0018741194],"category_scores_gemma":[0.0019347784,0.00030477482,0.00021192538,0.00037219407,0.0005923273,0.0002379411,0.00028554953,0.00033752527,0.0003600015],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024084435,0.00012390017,0.002246138,0.00010771452,0.000008199684,0.00010850365,0.00034533793,0.0027011465,0.9789019,0.00015738062,0.000094422205,0.014964411],"study_design_scores_gemma":[0.000010340191,0.0027117839,0.019391915,0.000016937183,0.00003151537,0.00027061065,0.00023087075,0.007514841,0.9688608,0.00006204262,0.00087517657,0.00002304362],"about_ca_topic_score_codex":0.0006500522,"about_ca_topic_score_gemma":0.0015648424,"teacher_disagreement_score":0.0018741194,"about_ca_system_score_codex":0.00014794014,"about_ca_system_score_gemma":0.00013054903,"threshold_uncertainty_score":0.006269574},"labels":[],"label_agreement":null},{"id":"W3134845366","doi":"10.5194/egusphere-egu21-12852","title":"Combined Migration of GPR data for layered media","year":2021,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"ASTER","funders":"","keywords":"Physics; Biophysics; Biology","score_opus":0.06235073284389766,"score_gpt":0.3004296873066936,"score_spread":0.23807895446279595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134845366","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55277866,0.001972702,0.41395146,0.00079094665,0.0011584571,0.00037608162,0.009284389,0.008760573,0.010926828],"genre_scores_gemma":[0.6220365,0.0009275155,0.3565805,0.00015884999,0.0002837879,0.00014189958,0.014933922,0.0006641404,0.004272883],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993362,0.00011407551,0.000046362504,0.00013355922,0.00026935074,0.000100475816],"domain_scores_gemma":[0.9993036,0.00007955539,0.00007144813,0.0002035616,0.00030227646,0.00003962778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008709713,0.0014510329,0.0006782777,0.0027893053,0.00029194984,0.0014818445,0.00074345665,0.0010948313,0.0017568292],"category_scores_gemma":[0.002166194,0.00029148732,0.00097218726,0.0020980083,0.00027623796,0.0012406128,0.0013631184,0.0006375949,0.0019512009],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015311706,0.00044793217,0.026907656,0.0010933712,0.00071905856,0.0015341883,0.0005448992,0.10637799,0.28351045,0.0028346572,0.012121853,0.56237674],"study_design_scores_gemma":[0.0001165206,0.00046679986,0.063169844,0.00019097488,0.00043453826,0.001755983,0.0008560671,0.7561864,0.14646032,0.0038337067,0.026207408,0.00032136828],"about_ca_topic_score_codex":0.0024097953,"about_ca_topic_score_gemma":0.0031858191,"teacher_disagreement_score":0.0027893053,"about_ca_system_score_codex":0.00030182308,"about_ca_system_score_gemma":0.00038293586,"threshold_uncertainty_score":0.005877137},"labels":[],"label_agreement":null},{"id":"W3139258132","doi":"10.1002/arp.1815","title":"Integrated geophysical study in the cemetery of Marquis of Haihun","year":2021,"lang":"en","type":"article","venue":"Archaeological Prospection","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China; Ministry of Natural Resources","keywords":"Ground-penetrating radar; Excavation; Geophysical survey; Geology; Magnetic anomaly; Geophysics; Magnetic survey; Anomaly (physics); Electrical resistivity tomography; Archaeology; Interpretation (philosophy); Exploration geophysics; Radar; Remote sensing; Paleontology; Geography; Electrical resistivity and conductivity; Engineering; Computer science","score_opus":0.0380981116204585,"score_gpt":0.26723853275282466,"score_spread":0.22914042113236616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139258132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99899226,0.0000411964,0.00024263599,0.000033955883,0.000004914098,0.00001567518,0.00006714038,0.00000717944,0.000595055],"genre_scores_gemma":[0.9984295,0.0000386515,0.0005748718,0.000013323731,0.0000056554245,0.00000925764,0.000109145505,0.0000026207974,0.0008170178],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99980646,0.000025495945,0.0000072824105,0.00005436495,0.000041142543,0.00006534262],"domain_scores_gemma":[0.9998932,0.000009554699,0.000020591458,0.0000099528015,0.000032348107,0.000034357756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002848143,0.00054862484,0.00048646075,0.0023991629,0.0012227218,0.0007435381,0.00051437353,0.0006631318,0.0013138934],"category_scores_gemma":[0.0002329661,0.00039479256,0.0003812134,0.0022648457,0.0005840559,0.0003596569,0.0008267715,0.00044704517,0.00012627154],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003331189,0.00041758048,0.8695697,0.0001778463,0.00015306036,0.028479742,0.017120643,0.0020917002,0.039009612,0.0010630582,0.0006581805,0.04092574],"study_design_scores_gemma":[0.000019867395,0.00017923902,0.9776643,0.000026441892,0.0000395347,0.0018173906,0.012882769,0.003740209,0.0012632088,0.00017581279,0.002168454,0.000022853083],"about_ca_topic_score_codex":0.039674822,"about_ca_topic_score_gemma":0.10468933,"teacher_disagreement_score":0.039674822,"about_ca_system_score_codex":0.0008974292,"about_ca_system_score_gemma":0.000892164,"threshold_uncertainty_score":0.07888776},"labels":[],"label_agreement":null},{"id":"W3139782417","doi":"","title":"Control of Full Depth Pulverized Aggregate Production Using Ground Penetrating Radar","year":2012,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Overlay; Compaction; Ground-penetrating radar; Aggregate (composite); Asphalt; Consistency (knowledge bases); Crushed stone; Geotechnical engineering; Environmental science; Materials science; Geology; Radar; Engineering; Composite material; Computer science","score_opus":0.027933413365907673,"score_gpt":0.26809639822903303,"score_spread":0.24016298486312534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139782417","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9830035,0.0001710503,0.015763257,0.0000135881355,0.000003818969,0.000055861008,0.00012885746,0.00017902085,0.0006809529],"genre_scores_gemma":[0.98470217,0.00017998625,0.013812467,0.000022773003,0.0000016834612,0.00003063391,0.00013194574,0.00004055679,0.001077871],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949694,0.00002708365,0.00002737224,0.0001445683,0.00023338273,0.00007056389],"domain_scores_gemma":[0.99944884,0.00008548892,0.00020122388,0.00006899817,0.00016304391,0.000032417745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046008918,0.00040623895,0.00024582047,0.00032213418,0.00018344702,0.0007729395,0.0004646571,0.00020062408,0.00043922244],"category_scores_gemma":[0.00049773103,0.00019964422,0.00013328472,0.00032854604,0.00034093292,0.00027266782,0.00030840776,0.00024213355,0.00013179317],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000648931,0.000024980925,0.0023310422,0.00002950183,0.000005003971,0.000047583064,0.00007121135,0.00088927854,0.9899607,0.000034212375,0.000020573394,0.0065210997],"study_design_scores_gemma":[0.000010909356,0.00030117232,0.022503292,0.00000474874,0.000020416104,0.00008207589,0.000121763085,0.0050798,0.97046363,0.000021989641,0.0013767144,0.000013677709],"about_ca_topic_score_codex":0.008733954,"about_ca_topic_score_gemma":0.025920033,"teacher_disagreement_score":0.008733954,"about_ca_system_score_codex":0.0006166144,"about_ca_system_score_gemma":0.00039428496,"threshold_uncertainty_score":0.01736623},"labels":[],"label_agreement":null},{"id":"W3148089457","doi":"10.5382/econgeo.4832","title":"Advanced Use of Borehole Acoustic Televiewer (ATV) for Structural Interpretation of Unconformity-Related Uranium Deposits","year":2021,"lang":"en","type":"article","venue":"Economic Geology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"iNano Medical (Canada)","funders":"","keywords":"Geology; Unconformity; Borehole; Drilling; Structural basin; Seismology; Mining engineering; Outcrop; Uranium; Petrology; Geochemistry; Paleontology; Engineering","score_opus":0.009915125706394242,"score_gpt":0.24541292103285842,"score_spread":0.23549779532646417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3148089457","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8485991,0.00024009253,0.12050937,0.00018527982,0.000085234606,0.00027402776,0.009317455,0.0059448555,0.0148445675],"genre_scores_gemma":[0.8625469,0.00010497068,0.13307114,0.00006337389,0.000017321921,0.00010187116,0.0016083051,0.00024693378,0.0022391535],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99970835,0.000040963896,0.000014228942,0.00007832855,0.00012670223,0.0000314612],"domain_scores_gemma":[0.9995054,0.00009704087,0.000083673774,0.000095695614,0.00017933366,0.000038875976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004315007,0.00036354415,0.00017554259,0.0012790858,0.00017636552,0.000492586,0.00036266958,0.00027327656,0.0032771057],"category_scores_gemma":[0.000691027,0.00015741524,0.00021695056,0.00081517646,0.0001871382,0.00044708332,0.0006110109,0.00024818728,0.0007705138],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037733224,0.00010672672,0.11553751,0.00022988614,0.0000697149,0.0006739328,0.0013322107,0.0095402775,0.5085308,0.00076620566,0.00321742,0.35961798],"study_design_scores_gemma":[0.00008202014,0.00038715146,0.6082393,0.00014542569,0.00010953516,0.0014458545,0.0026110418,0.14382084,0.21329702,0.001460528,0.028223304,0.00017791947],"about_ca_topic_score_codex":0.005847903,"about_ca_topic_score_gemma":0.0155094275,"teacher_disagreement_score":0.005847903,"about_ca_system_score_codex":0.000251268,"about_ca_system_score_gemma":0.00037999154,"threshold_uncertainty_score":0.011627734},"labels":[],"label_agreement":null},{"id":"W3156045638","doi":"10.1016/j.jhydrol.2021.126300","title":"Water penetrating radar","year":2021,"lang":"en","type":"article","venue":"Journal of Hydrology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Oceanography Centre; Queen's University; Queen's University Belfast; Department for Employment and Learning, Northern Ireland","keywords":"Ground-penetrating radar; Siltation; Geology; Radar; Bridge (graph theory); Flood myth; Software deployment; Hydrology (agriculture); Sediment; Remote sensing; Geotechnical engineering; Engineering; Archaeology; Geomorphology; Geography","score_opus":0.010590263981024532,"score_gpt":0.24585209044349093,"score_spread":0.2352618264624664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156045638","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.065314166,0.0065486506,0.5942168,0.0028894872,0.0026086522,0.00020268721,0.0014169584,0.0034863672,0.32331613],"genre_scores_gemma":[0.5285138,0.0076610106,0.16649602,0.0017677196,0.00068938185,0.00012509673,0.0035041664,0.00060252764,0.29064038],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99978894,0.00002483526,0.000008050503,0.000041136565,0.00011577275,0.000021220207],"domain_scores_gemma":[0.99972075,0.00003241596,0.000018457627,0.0000705274,0.00013823419,0.00001956252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023008822,0.00045698954,0.00023319076,0.0005910844,0.00028834873,0.0011319822,0.0003359461,0.0007643284,0.01503873],"category_scores_gemma":[0.00046145037,0.00029410404,0.00016816796,0.0006585248,0.0003140012,0.0010578976,0.0010265387,0.0007184476,0.008837981],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013512108,0.000077479555,0.0025159833,0.00017379169,0.000049734586,0.00024884162,0.00015118707,0.00825944,0.20825231,0.036490127,0.047773078,0.69587296],"study_design_scores_gemma":[0.000048577847,0.0002949599,0.012423184,0.00014194178,0.00008176965,0.002257964,0.0003166861,0.11477342,0.20155695,0.025661388,0.64233124,0.00011202944],"about_ca_topic_score_codex":0.0004482765,"about_ca_topic_score_gemma":0.00049582816,"teacher_disagreement_score":0.01503873,"about_ca_system_score_codex":0.00017492437,"about_ca_system_score_gemma":0.00026047463,"threshold_uncertainty_score":0.05030954},"labels":[],"label_agreement":null},{"id":"W3158623923","doi":"","title":"Monitoring water flow in a clay-shale hillslope from geophysical data fusion based on a fuzzy logic approach","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Electrical resistivity tomography; Electrical resistivity and conductivity; Oil shale; Fuzzy logic; Soil science; Geotechnical engineering; Geophysics; Mineralogy","score_opus":0.05891174782302674,"score_gpt":0.28605252790035934,"score_spread":0.2271407800773326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158623923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80520236,0.00010406446,0.19354017,0.00007244791,0.000006956787,0.000055873643,0.000099795514,0.00020569169,0.00071258465],"genre_scores_gemma":[0.9531919,0.000034119075,0.046600632,0.000011129288,0.0000036921203,0.000021956655,0.000041700678,0.0000021878259,0.000092714756],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99979025,0.000044607157,0.000017072514,0.000047666097,0.00007453157,0.000025913236],"domain_scores_gemma":[0.99967587,0.00014126595,0.00006532355,0.00001625805,0.00007582659,0.000025553101],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045909715,0.00026990366,0.00028650093,0.0012103849,0.00026243067,0.00049529155,0.00024634157,0.00032943807,0.00026891273],"category_scores_gemma":[0.0009093081,0.00018421863,0.00022857075,0.00052312354,0.00031371092,0.0004091612,0.00031115586,0.00016053204,0.00004159083],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015059046,0.00040125893,0.04616402,0.00029046164,0.00017159978,0.0005644644,0.00077865896,0.32632315,0.30629265,0.0028254006,0.00037701149,0.31430545],"study_design_scores_gemma":[0.00003804051,0.00018949123,0.014518334,0.000013758428,0.00004846062,0.00008836152,0.00012562418,0.95777345,0.025498938,0.0014972504,0.00017963456,0.000028763878],"about_ca_topic_score_codex":0.003108995,"about_ca_topic_score_gemma":0.0042615314,"teacher_disagreement_score":0.003108995,"about_ca_system_score_codex":0.0005352645,"about_ca_system_score_gemma":0.00040509755,"threshold_uncertainty_score":0.006181836},"labels":[],"label_agreement":null},{"id":"W3160160017","doi":"10.3390/f12050615","title":"Theoretical Development of Plant Root Diameter Estimation Based on GprMax Data and Neural Network Modelling","year":2021,"lang":"en","type":"article","venue":"Forests","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Artificial neural network; Root (linguistics); Ground-penetrating radar; Dielectric; Root mean square; Biological system; Square root; Mean squared error; Range (aeronautics); Residual; Mathematics; Soil science; Radar; Statistics; Materials science; Environmental science; Computer science; Algorithm; Geometry; Physics; Artificial intelligence; Composite material","score_opus":0.030576206315111057,"score_gpt":0.26304477042596497,"score_spread":0.23246856411085393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160160017","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011867884,0.00071204384,0.98373216,0.00022825842,0.00003266673,0.000024291207,0.00009797286,0.0002551609,0.0030495862],"genre_scores_gemma":[0.7550543,0.004320443,0.23198888,0.00022205971,0.00018434187,0.00035908158,0.0005108443,0.0001047037,0.0072552594],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964774,0.000064269865,0.000021688402,0.00013757234,0.00010230451,0.000026460653],"domain_scores_gemma":[0.99935085,0.00032964407,0.0000640191,0.000033113804,0.00020845684,0.0000138965315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007273847,0.0007027448,0.00047548072,0.0008313341,0.00022643998,0.0006687033,0.0010864706,0.00097137754,0.0011769229],"category_scores_gemma":[0.0025368894,0.0005552899,0.00057067623,0.00079117675,0.00052297075,0.0014260834,0.00050691684,0.0010491692,0.00039361854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004619537,0.000042872634,0.0031356912,0.00027085797,0.00005095302,0.00021929204,0.000111714755,0.89079267,0.005550634,0.018739806,0.00088605925,0.08015327],"study_design_scores_gemma":[0.000001249155,0.000008505675,0.0004885584,0.000010734487,0.000005454139,0.000021520662,0.0000052213277,0.9959638,0.0005347456,0.0025558153,0.0003964088,0.000007934499],"about_ca_topic_score_codex":0.008224662,"about_ca_topic_score_gemma":0.0038570028,"teacher_disagreement_score":0.008224662,"about_ca_system_score_codex":0.0007868707,"about_ca_system_score_gemma":0.00056563463,"threshold_uncertainty_score":0.016353607},"labels":[],"label_agreement":null},{"id":"W3161883658","doi":"10.23919/eucap51087.2021.9411348","title":"Single Data Set Calibration and Imaging with Uncooperative Electromagnetic Inversion Systems","year":2021,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Bin; Calibration; Parametric statistics; Inversion (geology); Computer science; Algorithm; Set (abstract data type); Data set; Artificial intelligence; Computer vision; Mathematics; Statistics; Geology","score_opus":0.022810814811296456,"score_gpt":0.23814897704744054,"score_spread":0.21533816223614408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161883658","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023625087,0.00004253633,0.97406673,0.00007070884,0.000017837903,0.000036343197,0.00007168398,0.0007850434,0.0012840652],"genre_scores_gemma":[0.25861225,0.000044268145,0.73964024,0.00008031658,0.000015939739,0.00011696586,0.00030957905,0.00024594317,0.00093451084],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998963,0.00025790322,0.000040404342,0.00025445022,0.00040216986,0.0000821165],"domain_scores_gemma":[0.998009,0.0005508481,0.00023613645,0.00077834644,0.0003655766,0.000060079336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017180805,0.000937793,0.0008915344,0.00070647796,0.00061273767,0.0011076434,0.0013532778,0.0010564488,0.0020129173],"category_scores_gemma":[0.0056979246,0.0006137628,0.0006985538,0.0011754642,0.0009352976,0.001605686,0.0023635759,0.0016631205,0.00078182004],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006444809,0.0002576781,0.004600939,0.0002775408,0.0002433553,0.00020875069,0.00043868818,0.43328637,0.13413571,0.027645871,0.0024647482,0.3957959],"study_design_scores_gemma":[0.000044982266,0.00011378847,0.002153578,0.000016546694,0.000029916222,0.00020531638,0.00008159494,0.8992599,0.080917716,0.013111676,0.0039758277,0.00008916024],"about_ca_topic_score_codex":0.0015155771,"about_ca_topic_score_gemma":0.0023739473,"teacher_disagreement_score":0.0020129173,"about_ca_system_score_codex":0.00061260833,"about_ca_system_score_gemma":0.0010330087,"threshold_uncertainty_score":0.009086132},"labels":[],"label_agreement":null},{"id":"W3165499559","doi":"10.1061/9780784483411.035","title":"Defect Detection and Characterization in Soil Bentonite Cutoff Wall Using Electrical Resistivity","year":2021,"lang":"en","type":"article","venue":"IFCEE 2021","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kensington Health","funders":"","keywords":"Trench; Bentonite; Alluvium; Cutoff; Geology; Slurry; Geotechnical engineering; Muck; Electrical resistivity and conductivity; Materials science; Composite material; Soil science; Electrical engineering; Geomorphology; Engineering","score_opus":0.012941298082218737,"score_gpt":0.24564399360435787,"score_spread":0.23270269552213912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165499559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956955,0.000055986875,0.0038019824,0.000009333583,0.000003278415,0.000010900977,0.00009540951,0.00004888975,0.0002786819],"genre_scores_gemma":[0.9952396,0.000060237464,0.0042020595,0.000007256333,9.390809e-7,0.000013997115,0.0000777486,0.0000070035953,0.0003911869],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99984527,0.000012083868,0.000008970844,0.00004561961,0.00006804631,0.000020046546],"domain_scores_gemma":[0.9997756,0.000043272466,0.00006905358,0.0000173782,0.00007951051,0.00001532404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014627121,0.00025926772,0.0001751948,0.0003483222,0.0001373786,0.0003351833,0.0002611196,0.00033644805,0.0002925701],"category_scores_gemma":[0.0002650104,0.0001342211,0.000121177596,0.00024521654,0.00021609422,0.00020838836,0.00019193976,0.00023921541,0.00011302121],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004973694,0.000039420465,0.014138096,0.000047565984,0.00000497753,0.00015326239,0.00012634859,0.00080920995,0.9784913,0.00003784079,0.00003611386,0.00606612],"study_design_scores_gemma":[0.000009833197,0.00066053617,0.12087741,0.000019260839,0.000023530309,0.00037139587,0.00061232276,0.013021896,0.8629345,0.00008440586,0.0013611001,0.000023704593],"about_ca_topic_score_codex":0.0011975733,"about_ca_topic_score_gemma":0.0032895305,"teacher_disagreement_score":0.0011975733,"about_ca_system_score_codex":0.00013273515,"about_ca_system_score_gemma":0.00010067904,"threshold_uncertainty_score":0.0023812056},"labels":[],"label_agreement":null},{"id":"W3168610778","doi":"10.4133/sageep.33-001","title":"Assessing the variability of soil water content with ground-penetrating radar and electromagnetic induction","year":2021,"lang":"en","type":"article","venue":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2021","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Ground-penetrating radar; Reflectometry; Radar; Environmental science; Water content; Soil water; Irrigation; Soil science; Hydrology (agriculture); Geology; Remote sensing; Geotechnical engineering; Time domain; Engineering; Computer science","score_opus":0.008200686818700132,"score_gpt":0.19117052787290847,"score_spread":0.18296984105420835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3168610778","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99480903,0.00012026023,0.0042734505,0.0000083820805,0.0000014005885,0.000011021631,0.00026134567,0.000026314023,0.00048871944],"genre_scores_gemma":[0.99571264,0.0001425127,0.003498346,0.000011047561,0.0000029126534,0.000015000186,0.00034203733,0.000006159475,0.00026927755],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998192,0.000021100957,0.00000775149,0.00006552329,0.00006454627,0.00002182039],"domain_scores_gemma":[0.99975926,0.000067034925,0.00008621446,0.000014920757,0.000055620723,0.000016996899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020971587,0.00019749114,0.00018906244,0.00069786416,0.0001407452,0.000330086,0.00020604768,0.00016231243,0.00032042258],"category_scores_gemma":[0.000419868,0.00014567729,0.00011851644,0.0012159784,0.0002527088,0.00037002398,0.0002483887,0.0001792683,0.00009639932],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022721151,0.000108695545,0.62107116,0.00010125039,0.000090923386,0.00014119377,0.00034396592,0.004405322,0.31900114,0.00008403195,0.00018041537,0.05424467],"study_design_scores_gemma":[0.000006073376,0.000102469756,0.9840185,0.0000038374314,0.000018403203,0.00008455452,0.0001265195,0.0063716546,0.009019347,0.00003346568,0.00020467983,0.000010457447],"about_ca_topic_score_codex":0.02222694,"about_ca_topic_score_gemma":0.04804231,"teacher_disagreement_score":0.02222694,"about_ca_system_score_codex":0.00039903558,"about_ca_system_score_gemma":0.00025755173,"threshold_uncertainty_score":0.044195116},"labels":[],"label_agreement":null},{"id":"W3169296579","doi":"10.1109/tci.2021.3089464","title":"A Comparison of Time-Domain and Frequency-Domain Microwave Imaging of Experimental Targets","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Computational Imaging","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Time domain; Microwave imaging; Frequency domain; Computer science; Solver; Algorithm; Decoupling (probability); Domain (mathematical analysis); Broadband; Microwave; Computer vision; Mathematics; Telecommunications; Engineering","score_opus":0.011973441873558937,"score_gpt":0.28673457732522223,"score_spread":0.2747611354516633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3169296579","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39589685,0.00043901821,0.5863433,0.00026687596,0.0000621938,0.00010940876,0.00031172097,0.0010558753,0.015514754],"genre_scores_gemma":[0.6938952,0.00042255878,0.30191877,0.00006730069,0.000014981796,0.00009966659,0.0004898875,0.000115153765,0.002976505],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998884,0.000022739277,0.0000061302057,0.000018446783,0.000053304793,0.000011078921],"domain_scores_gemma":[0.99937797,0.00031869812,0.00005748146,0.00008282423,0.00014352553,0.000019542204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004849316,0.00023113197,0.00015242072,0.00033924356,0.00012995981,0.00045767133,0.00043675888,0.00037224323,0.002078727],"category_scores_gemma":[0.0012626384,0.00009150691,0.00013850439,0.00036436768,0.00033447208,0.0005728274,0.00027922716,0.00024330313,0.0003078135],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009322507,0.00030177672,0.0040789233,0.00055226916,0.000030167555,0.0001877742,0.00030371375,0.13612111,0.65850115,0.008344127,0.0014286804,0.18921803],"study_design_scores_gemma":[0.00005434401,0.000326149,0.0073401476,0.000054933607,0.000022498376,0.00048940215,0.00033237654,0.6092886,0.37422046,0.0014795082,0.0063549955,0.00003656259],"about_ca_topic_score_codex":0.0005784288,"about_ca_topic_score_gemma":0.0008080621,"teacher_disagreement_score":0.002078727,"about_ca_system_score_codex":0.00023547639,"about_ca_system_score_gemma":0.00035017994,"threshold_uncertainty_score":0.006954074},"labels":[],"label_agreement":null},{"id":"W3173329620","doi":"10.1016/j.forsciint.2021.110882","title":"A novel approach to 3D modelling ground-penetrating radar (GPR) data – A case study of a cemetery and applications for criminal investigation","year":2021,"lang":"en","type":"article","venue":"Forensic Science International","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Ground-penetrating radar; Software; Visualization; Geology; Plot (graphics); Data collection; Remote sensing; Data processing; Radar; Ground truth; Computer science; Data mining; Artificial intelligence; Database; Telecommunications","score_opus":0.18836907952394988,"score_gpt":0.3375070345557354,"score_spread":0.1491379550317855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3173329620","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07263532,0.00027677725,0.9144991,0.00070783857,0.000090252164,0.0002880642,0.00083880534,0.0009735194,0.009690358],"genre_scores_gemma":[0.25481737,0.00048790214,0.7387165,0.0000885493,0.000030728068,0.00017177322,0.00068710145,0.00021599772,0.0047841575],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9992508,0.00020702643,0.000052588453,0.00014490202,0.00028841847,0.000056257024],"domain_scores_gemma":[0.99922013,0.00030011797,0.00006996359,0.00020251879,0.00016803989,0.000039263392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079352374,0.0008838039,0.00047772113,0.0016150653,0.0006030788,0.0033531664,0.001382351,0.0018498041,0.0031410782],"category_scores_gemma":[0.0019786968,0.00072673056,0.0012259597,0.0016586927,0.0009593497,0.0011181094,0.0018946733,0.0010489979,0.0009158367],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034633031,0.00034044858,0.015620313,0.0010623921,0.00020253083,0.012607487,0.0052696904,0.5254258,0.07872075,0.051139727,0.008408659,0.30085593],"study_design_scores_gemma":[0.000025174673,0.00020142477,0.00665088,0.00016656423,0.00007300133,0.0055303564,0.0021344086,0.8993202,0.024350753,0.010863006,0.05053144,0.0001526667],"about_ca_topic_score_codex":0.004587109,"about_ca_topic_score_gemma":0.008442417,"teacher_disagreement_score":0.004587109,"about_ca_system_score_codex":0.0005322085,"about_ca_system_score_gemma":0.00093636353,"threshold_uncertainty_score":0.010507941},"labels":[],"label_agreement":null},{"id":"W3181452428","doi":"10.3390/geosciences11070284","title":"Geologist in the Loop: A Hybrid Intelligence Model for Identifying Geological Boundaries from Augmented Ground Penetrating Radar","year":2021,"lang":"en","type":"article","venue":"Geosciences","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Rio Tinto","keywords":"Ground-penetrating radar; Geologist; Drill; Geology; Radar; Drill hole; Representation (politics); Mining engineering; Sampling (signal processing); Artificial intelligence; Computer science; Remote sensing; Paleontology; Engineering; Computer vision","score_opus":0.0794651957924074,"score_gpt":0.32068466822566033,"score_spread":0.24121947243325292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3181452428","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0820896,0.00035561767,0.90926766,0.00096884806,0.00006104515,0.00006630972,0.0002912246,0.00056388584,0.0063357474],"genre_scores_gemma":[0.9369451,0.0002018402,0.055711936,0.0002507636,0.00006570927,0.00017451779,0.00024220711,0.00004230833,0.0063655796],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996829,0.00007527665,0.000013543073,0.00011663312,0.00006271864,0.000048885075],"domain_scores_gemma":[0.9991115,0.0005116881,0.00015708306,0.000056870234,0.000118371405,0.00004442714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084523216,0.0005781248,0.0006449666,0.0005131258,0.0003159871,0.0016001604,0.0016234585,0.0014478727,0.002075491],"category_scores_gemma":[0.0020816005,0.00036105854,0.0006837565,0.00049730187,0.0009926273,0.0015243196,0.0012698482,0.0012550665,0.00047864436],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009435558,0.00007253151,0.0024037552,0.000027223326,0.000045240362,0.000106884516,0.00013392034,0.9590237,0.00079265883,0.012660572,0.0006648517,0.023974305],"study_design_scores_gemma":[0.0000035507062,0.00001435263,0.0001371793,0.000002356569,0.000004631669,0.000009012974,0.000005658018,0.9968585,0.000074423864,0.0027291577,0.00015811106,0.000002940373],"about_ca_topic_score_codex":0.008218465,"about_ca_topic_score_gemma":0.007515111,"teacher_disagreement_score":0.008218465,"about_ca_system_score_codex":0.00081024907,"about_ca_system_score_gemma":0.0007764232,"threshold_uncertainty_score":0.016341269},"labels":[],"label_agreement":null},{"id":"W3184489883","doi":"10.1109/cvpr52688.2022.00566","title":"Parametric Scattering Networks","year":2022,"lang":"en","type":"article","venue":"2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute; University of Waterloo; Université de Montréal; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wavelet transform; Wavelet; Scattering; Filter bank; Parametric statistics; Discriminative model; Morlet wavelet; Computer science; Filter (signal processing); Mathematics; Wavelet packet decomposition; Artificial intelligence; Discrete wavelet transform; Pattern recognition (psychology); Computer vision; Statistics; Physics; Optics","score_opus":0.03890684951204379,"score_gpt":0.2652592332562957,"score_spread":0.2263523837442519,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184489883","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026708158,0.00078615587,0.9598701,0.0005898726,0.0001053642,0.00008208268,0.00074726413,0.00071534177,0.010395727],"genre_scores_gemma":[0.7702689,0.0020937787,0.19718231,0.00050535914,0.00034371516,0.00038418025,0.0045304312,0.00034803117,0.024343358],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99935347,0.00019265407,0.000027046623,0.00022581895,0.00013276716,0.00006834047],"domain_scores_gemma":[0.99823016,0.0009643994,0.0001797563,0.0002596464,0.00028577534,0.00008014733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009991742,0.0013509092,0.00086201244,0.0015571646,0.00061581866,0.0015318117,0.0015809656,0.0017291838,0.0072733187],"category_scores_gemma":[0.0055713905,0.0006296341,0.0011510174,0.0013023436,0.0010492081,0.0024430372,0.0017950723,0.0016592284,0.0022458034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014436741,0.00008008053,0.0022292556,0.00014044602,0.00012125681,0.00016473727,0.000120667675,0.69671726,0.00310653,0.08498387,0.008329706,0.20386182],"study_design_scores_gemma":[0.00000537213,0.00001883819,0.00020738013,0.000016164038,0.000012720447,0.000056705278,0.000019747995,0.95067424,0.0005452204,0.046270743,0.0021643403,0.000008472821],"about_ca_topic_score_codex":0.0022629867,"about_ca_topic_score_gemma":0.0033396056,"teacher_disagreement_score":0.0072733187,"about_ca_system_score_codex":0.0010122345,"about_ca_system_score_gemma":0.0007016641,"threshold_uncertainty_score":0.024331689},"labels":[],"label_agreement":null},{"id":"W3184701450","doi":"10.3390/rs13152880","title":"Using Ground Penetrating Radar and Resistivity Methods to Locate Unmarked Graves: A Review","year":2021,"lang":"en","type":"review","venue":"Remote Sensing","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Flinders University; University of Newcastle Australia","keywords":"Ground-penetrating radar; Law enforcement; Excavation; Context (archaeology); Archaeology; Electrical resistivity tomography; Covert; Geology; History; Radar; Geography; Forensic engineering; Computer science; Law; Engineering; Electrical resistivity and conductivity; Political science","score_opus":0.14008760802420694,"score_gpt":0.41692603340739437,"score_spread":0.2768384253831874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184701450","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0001351845,0.9986179,0.0002847658,0.00012742147,0.00008687807,0.000006550141,0.00001499651,0.0000066116895,0.00071963173],"genre_scores_gemma":[0.0007067185,0.998538,0.0003775788,0.00006904596,0.00006514436,0.00000575386,0.000020345386,0.000001869434,0.00021552708],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99938715,0.00010421813,0.00011826559,0.00013290277,0.00022588299,0.000031584037],"domain_scores_gemma":[0.997801,0.0015160078,0.0002253643,0.000049464958,0.00036660634,0.00004152936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014869743,0.0011936579,0.0015786648,0.004764597,0.00029552996,0.0014196965,0.0012917338,0.0015266655,0.0032378368],"category_scores_gemma":[0.002752678,0.0005423018,0.00092481595,0.004413632,0.00075889024,0.0022719102,0.0006742159,0.0012025222,0.0018729683],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034321125,0.000060139715,0.00041533654,0.034122493,0.000106180385,0.00017505618,0.00009955623,0.00036034276,0.0011148433,0.002200439,0.007630806,0.9536804],"study_design_scores_gemma":[0.0000125730485,0.00020006657,0.0029201729,0.017586451,0.0004529804,0.003111361,0.00031154213,0.00032676218,0.0016399013,0.0022885806,0.9710741,0.00007550207],"about_ca_topic_score_codex":0.0018678665,"about_ca_topic_score_gemma":0.0024548161,"teacher_disagreement_score":0.004764597,"about_ca_system_score_codex":0.00047691213,"about_ca_system_score_gemma":0.0014316351,"threshold_uncertainty_score":0.010831654},"labels":[],"label_agreement":null},{"id":"W3185035294","doi":"10.3390/rs13132542","title":"Bridge Foundation River Scour and Infill Characterisation Using Water-Penetrating Radar","year":2021,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Queen's University; Queen's University Belfast; University of St Andrews","keywords":"Sonar; Bridge scour; Underwater; Geology; Ground-penetrating radar; Foundation (evidence); Bridge (graph theory); Bathymetry; Pier; Radar; Marine engineering; Remote sensing; Engineering; Civil engineering; Oceanography; Geography","score_opus":0.029106255241781773,"score_gpt":0.2669154709547447,"score_spread":0.23780921571296293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185035294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9680035,0.00009389764,0.029903293,0.000017282902,0.0000058148084,0.00003393616,0.00016008501,0.00015451665,0.0016276945],"genre_scores_gemma":[0.9828084,0.00010101663,0.016113734,0.000012466533,0.0000029629284,0.000017320353,0.0001540637,0.000013520013,0.0007765798],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99986374,0.00001678001,0.000006562004,0.00003330433,0.000054959597,0.000024691824],"domain_scores_gemma":[0.99983156,0.0000345752,0.000045276323,0.000015559523,0.000055943463,0.000017065764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002073931,0.00027867372,0.00016650712,0.00085282105,0.00009687649,0.0004477017,0.000207872,0.00029854366,0.00076750043],"category_scores_gemma":[0.00039187475,0.00013272528,0.00014377222,0.00045152794,0.00016010767,0.00040577177,0.00034818955,0.00017975477,0.00023089605],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013169211,0.00011929522,0.12989919,0.00024136846,0.00005725174,0.000662828,0.0008536038,0.018431395,0.66188157,0.00047341976,0.0004989863,0.18674941],"study_design_scores_gemma":[0.000022650207,0.0005739796,0.5956608,0.00007802604,0.00008746965,0.0010446532,0.0019857846,0.25727096,0.13905668,0.0004570675,0.0036733097,0.00008855788],"about_ca_topic_score_codex":0.001964095,"about_ca_topic_score_gemma":0.0068757366,"teacher_disagreement_score":0.001964095,"about_ca_system_score_codex":0.00008863548,"about_ca_system_score_gemma":0.00014366765,"threshold_uncertainty_score":0.0039052963},"labels":[],"label_agreement":null},{"id":"W3185980193","doi":"","title":"Assessment of backfill design for a KBS-3V repository: The Baclo Project","year":2012,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Atomic Energy (Canada)","funders":"","keywords":"Construction engineering; Engineering; Computer science; Risk analysis (engineering); Business","score_opus":0.05734439685498744,"score_gpt":0.3388784037089346,"score_spread":0.28153400685394714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185980193","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8093309,0.00082874,0.14952996,0.0016950143,0.00020074978,0.0014670979,0.004722588,0.010223409,0.022001574],"genre_scores_gemma":[0.83948493,0.0003816113,0.14619769,0.00015890473,0.000023741479,0.0007441403,0.0049880645,0.0017020851,0.0063188346],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9925148,0.0025009227,0.0004179334,0.0005474455,0.003387295,0.00063166424],"domain_scores_gemma":[0.98676854,0.0030091149,0.00059469265,0.0028431127,0.005786257,0.0009983549],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0173032,0.000878101,0.0011110653,0.0018191471,0.0016260496,0.004548283,0.003051828,0.002254627,0.004821446],"category_scores_gemma":[0.02030008,0.00059371354,0.000849752,0.0016529771,0.0017947586,0.003625635,0.0026184095,0.0010912031,0.0018980652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.012207452,0.0031603205,0.058345236,0.0023856033,0.00048703793,0.00087333453,0.0038453818,0.38381305,0.05315934,0.025030715,0.029880906,0.4268116],"study_design_scores_gemma":[0.002820395,0.010607097,0.030200979,0.00094463414,0.0011837457,0.0009085108,0.011688323,0.6749726,0.13682194,0.016814122,0.112580344,0.00045738503],"about_ca_topic_score_codex":0.015444334,"about_ca_topic_score_gemma":0.015243367,"teacher_disagreement_score":0.0173032,"about_ca_system_score_codex":0.0023842722,"about_ca_system_score_gemma":0.007515555,"threshold_uncertainty_score":0.09150916},"labels":[],"label_agreement":null},{"id":"W3186867099","doi":"","title":"Water uptake by and movement through a backfilled KBS-3V deposition tunnel: Results of large-scale simulations","year":2012,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Atomic Energy (Canada)","funders":"","keywords":"Deposition (geology); Scale (ratio); Movement (music); Environmental science; Hydrology (agriculture); Geology; Geotechnical engineering; Geography; Geomorphology; Cartography; Physics","score_opus":0.012886028931610196,"score_gpt":0.261005806315157,"score_spread":0.24811977738354682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186867099","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950322,0.00004455464,0.0013748758,0.00011764271,0.000019388392,0.000015362499,0.000560723,0.00012177629,0.0027134414],"genre_scores_gemma":[0.9978671,0.00003639588,0.000920368,0.000021596774,0.000004008045,0.000018028508,0.00028737402,0.00002900161,0.00081598473],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983954,0.000020084779,0.000007701298,0.000036570214,0.000028560333,0.00006737045],"domain_scores_gemma":[0.9993518,0.00031618317,0.000049969745,0.000059030666,0.00012030042,0.00010279267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003321258,0.00053484045,0.0010680219,0.00037362374,0.001099596,0.0010409574,0.0013339389,0.0018344406,0.003057199],"category_scores_gemma":[0.00115522,0.00049242895,0.00089664746,0.0006375065,0.0012443531,0.00075978244,0.00057928753,0.0008614472,0.00030624162],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019125541,0.0001833441,0.004523352,0.000044380067,0.00002635088,0.00011782038,0.000055159984,0.98929393,0.0035031722,0.0007107159,0.0003982947,0.0009522905],"study_design_scores_gemma":[0.00009304818,0.00006880678,0.001280863,0.0000047137814,0.000010724706,0.000012339919,0.0000855334,0.9967327,0.0013263229,0.0002292969,0.00014046706,0.000015154146],"about_ca_topic_score_codex":0.06143134,"about_ca_topic_score_gemma":0.025840532,"teacher_disagreement_score":0.06143134,"about_ca_system_score_codex":0.0017669131,"about_ca_system_score_gemma":0.0022509282,"threshold_uncertainty_score":0.12214756},"labels":[],"label_agreement":null},{"id":"W3190357564","doi":"10.1080/19236026.2020.1733361","title":"Interpreting displacement data from complementary slope monitoring systems in extreme weather conditions","year":2020,"lang":"en","type":"article","venue":"CIM Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Teck (Canada)","funders":"","keywords":"Displacement (psychology); Radar; Work (physics); Environmental science; Continuous monitoring; Suspect; Computer science; Meteorology; Remote sensing; Engineering; Geology; Geography; Operations management; Telecommunications; Mechanical engineering","score_opus":0.1734455908845371,"score_gpt":0.33042804230369777,"score_spread":0.15698245141916067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3190357564","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9821713,0.000107996275,0.013453538,0.000080052756,0.000031718708,0.00006808064,0.0010838837,0.00021223718,0.0027913395],"genre_scores_gemma":[0.9874719,0.000047504505,0.011549361,0.000022274025,0.000012992052,0.000025802126,0.0005636595,0.000013545306,0.00029299897],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990941,0.0002494815,0.000072691524,0.00015019503,0.00034729857,0.00008626892],"domain_scores_gemma":[0.99755824,0.00081832055,0.0005808822,0.0002320704,0.0007025465,0.00010792143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013771345,0.00045134677,0.0004642657,0.002063471,0.00037564198,0.0008551026,0.00040126446,0.0006870204,0.0009714915],"category_scores_gemma":[0.004777507,0.00023965303,0.00022448163,0.002163803,0.00029907268,0.0005604874,0.00072160264,0.0003254383,0.00036311639],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009676707,0.0003488418,0.8119078,0.00023063348,0.00026482838,0.0006022752,0.0010074276,0.028808882,0.0519071,0.00065453147,0.0017805556,0.10151935],"study_design_scores_gemma":[0.000050077433,0.000547566,0.8494602,0.00005850409,0.00014066587,0.00037085696,0.0015686114,0.124062955,0.020265728,0.000984221,0.0023968187,0.0000938746],"about_ca_topic_score_codex":0.0076187546,"about_ca_topic_score_gemma":0.016945785,"teacher_disagreement_score":0.0076187546,"about_ca_system_score_codex":0.0004260084,"about_ca_system_score_gemma":0.0004011268,"threshold_uncertainty_score":0.0151488185},"labels":[],"label_agreement":null},{"id":"W3192622680","doi":"10.1061/9780784483602.027","title":"Inspecting Twin 42” Reinforced Concrete Pipes with Pipe Penetrating Radar Supplemented by LiDAR","year":2021,"lang":"en","type":"article","venue":"Pipelines 2021","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Coquitlam College","funders":"","keywords":"Ground-penetrating radar; Rebar; Lidar; Reinforced concrete; Radar; Engineering; Geology; Remote sensing; Structural engineering; Telecommunications","score_opus":0.009342720934629688,"score_gpt":0.24018367959067458,"score_spread":0.2308409586560449,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3192622680","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7869725,0.00043892622,0.19920194,0.0003783865,0.000086490545,0.00024996672,0.00059728074,0.0019671232,0.010107268],"genre_scores_gemma":[0.7269894,0.0003049542,0.26776597,0.00016333752,0.000021469932,0.000054794396,0.00030570224,0.000103891194,0.004290411],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999607,0.000056182595,0.000018179939,0.000079074955,0.00018563708,0.000053882897],"domain_scores_gemma":[0.99945086,0.00011272428,0.000058727168,0.000061333725,0.0002791443,0.0000371542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000571915,0.0003127798,0.0002068573,0.001170757,0.0002156011,0.00036144996,0.0003413035,0.00055653794,0.0019608717],"category_scores_gemma":[0.0009451529,0.0004227738,0.00018872833,0.00047425105,0.00017026921,0.00076981325,0.0006878446,0.0004091228,0.00084783917],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017009418,0.000086120235,0.028735084,0.00017507395,0.000019296456,0.001983266,0.0013581959,0.0027352504,0.82383204,0.0005815362,0.0015135178,0.13881055],"study_design_scores_gemma":[0.000061996834,0.0015894674,0.23388128,0.00028612226,0.00010976198,0.010803319,0.0075481203,0.14868301,0.5584718,0.0026389873,0.03570174,0.00022435583],"about_ca_topic_score_codex":0.0012939576,"about_ca_topic_score_gemma":0.0034808018,"teacher_disagreement_score":0.0019608717,"about_ca_system_score_codex":0.00013327428,"about_ca_system_score_gemma":0.0002449067,"threshold_uncertainty_score":0.006559789},"labels":[],"label_agreement":null},{"id":"W3193739179","doi":"10.1017/jog.2021.94","title":"A quantitative method for deriving salinity of subglacial water using ground-based transient electromagnetics","year":2021,"lang":"en","type":"article","venue":"Journal of Glaciology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; W. Garfield Weston Foundation","keywords":"Geology; Ground-penetrating radar; Geophysics; Electromagnetics; Electrical conductor; Salinity; Glacier; Geomorphology; Electrical resistivity and conductivity; Glaciology; Remote sensing; Soil science; Hydrogeology; Radar; Geotechnical engineering; Materials science; Oceanography; Electronic engineering","score_opus":0.04135320406422397,"score_gpt":0.3432649772171634,"score_spread":0.30191177315293943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193739179","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.110221274,0.000040990442,0.88661045,0.000060551873,0.000017437891,0.000035687808,0.00026439776,0.00084034126,0.0019088204],"genre_scores_gemma":[0.7855727,0.00006771903,0.21321951,0.000039786057,0.0000103717575,0.000046155976,0.00031796185,0.000079508885,0.0006462224],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998801,0.000023059321,0.0000073872025,0.000027309763,0.00005331889,0.000008914067],"domain_scores_gemma":[0.999676,0.00008850093,0.000065034015,0.000035043693,0.000117252064,0.00001816587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002606239,0.00031109326,0.00014841204,0.0005503186,0.00012926792,0.00042632286,0.00035536813,0.00030264514,0.0012247068],"category_scores_gemma":[0.001304021,0.00013459586,0.00021109106,0.00040928664,0.00021188859,0.0005831632,0.00044203218,0.00031406287,0.00026658282],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014827486,0.00015879622,0.03410229,0.00025040758,0.00009272895,0.00016910397,0.0002649663,0.2187075,0.44304824,0.010051189,0.0014195291,0.29158697],"study_design_scores_gemma":[0.000024646708,0.00005302595,0.009269921,0.000017450518,0.000020750154,0.000090347225,0.000069288006,0.9235702,0.061571743,0.003383683,0.0018993524,0.000029551771],"about_ca_topic_score_codex":0.0014398688,"about_ca_topic_score_gemma":0.002144503,"teacher_disagreement_score":0.0014398688,"about_ca_system_score_codex":0.00028207118,"about_ca_system_score_gemma":0.0004400631,"threshold_uncertainty_score":0.0040970445},"labels":[],"label_agreement":null},{"id":"W3194838714","doi":"10.1109/antem51107.2021.9519118","title":"A Machine Learning Method for Characterization of Complex Grain-Air Interfaces in Grain Storage Bins","year":2021,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Bin; Characterization (materials science); Materials science; Grain size; Permittivity; RADIUS; Artificial neural network; Computer science; Metallurgy; Artificial intelligence; Algorithm; Optoelectronics; Nanotechnology; Dielectric","score_opus":0.026638919253325285,"score_gpt":0.30131001058428364,"score_spread":0.27467109133095835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3194838714","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039629187,0.00010595479,0.9591491,0.00004465096,0.000010828061,0.000020779362,0.000108085784,0.00035864662,0.0005727419],"genre_scores_gemma":[0.6267053,0.00017285542,0.37092426,0.00004472082,0.000023651459,0.00007287455,0.00031178314,0.000054116223,0.0016904982],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999299,0.000012072451,0.0000044947533,0.0000208058,0.000024492041,0.00000819061],"domain_scores_gemma":[0.99968433,0.00015080003,0.00005168917,0.00003235869,0.00007042576,0.000010331921],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025793485,0.00034804258,0.00024103002,0.00057501247,0.0001900375,0.00040806763,0.000455177,0.00043256304,0.00066392514],"category_scores_gemma":[0.000986714,0.00014754638,0.000188061,0.00060335017,0.00030375345,0.0005698745,0.000288727,0.00037012997,0.00015457135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022909537,0.000087684115,0.0051184874,0.00011769663,0.000049399892,0.000114553855,0.0000737228,0.6009792,0.052777395,0.0061834813,0.0012187597,0.3330506],"study_design_scores_gemma":[0.0000017303541,0.000008631646,0.0004945381,0.0000019307913,0.0000023426207,0.000015326279,0.000003948812,0.9961649,0.0023523807,0.0007457376,0.00020555091,0.000002930173],"about_ca_topic_score_codex":0.0019043067,"about_ca_topic_score_gemma":0.0022711935,"teacher_disagreement_score":0.0019043067,"about_ca_system_score_codex":0.0003041333,"about_ca_system_score_gemma":0.00032541723,"threshold_uncertainty_score":0.0037864447},"labels":[],"label_agreement":null},{"id":"W3196002354","doi":"10.1109/antem51107.2021.9518947","title":"Using Lossy Green’s Functions to Improve Back-Propagated Reconstructions of Material Interfaces inside Resonant Enclosures","year":2021,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Lossy compression; Green S; Computer science; Physics; Acoustics; Materials science; Electronic engineering; Electrical engineering; Mathematics; Engineering; Mathematical analysis; Artificial intelligence","score_opus":0.029296713942605725,"score_gpt":0.2687679887148777,"score_spread":0.239471274772272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196002354","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23795581,0.00009213182,0.75645643,0.0002124873,0.000043520195,0.000036148358,0.00016731801,0.001761633,0.003274589],"genre_scores_gemma":[0.56558883,0.00015205791,0.43101406,0.000095396375,0.000010277607,0.000049691324,0.0002890766,0.00066206587,0.002138504],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998747,0.000028011047,0.0000065560207,0.00001614462,0.00005464453,0.000019979438],"domain_scores_gemma":[0.9993574,0.0003122177,0.00007239896,0.000114619164,0.00009878782,0.00004452279],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007208377,0.001147454,0.000335043,0.0004480142,0.00024869345,0.0012355684,0.0007242247,0.0010224753,0.0017208257],"category_scores_gemma":[0.0024423318,0.00043389137,0.00034295407,0.00040135076,0.0006869854,0.0012504047,0.00080067007,0.0010032965,0.0006039085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024645764,0.00014761959,0.0017031218,0.00016685622,0.00003411951,0.00029769714,0.00038642323,0.79096067,0.16368173,0.01258693,0.0010364236,0.02875189],"study_design_scores_gemma":[0.000011931879,0.000021596405,0.00016688464,0.000006842211,0.0000052839036,0.000041948533,0.000028991271,0.97197986,0.025704615,0.0014554342,0.00056353904,0.000013120136],"about_ca_topic_score_codex":0.0025888127,"about_ca_topic_score_gemma":0.0029618442,"teacher_disagreement_score":0.0025888127,"about_ca_system_score_codex":0.0005302936,"about_ca_system_score_gemma":0.000802758,"threshold_uncertainty_score":0.005756676},"labels":[],"label_agreement":null},{"id":"W3196071263","doi":"10.1109/aim46487.2021.9517696","title":"Automatic Material Classification via Proprioceptive Sensing and Wavelet Analysis During Excavation","year":2021,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"NCR","keywords":"Wavelet; Excavation; Computer science; Artificial intelligence; Pattern recognition (psychology); Geology; Geotechnical engineering","score_opus":0.010590528139417844,"score_gpt":0.2299262990328187,"score_spread":0.21933577089340084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196071263","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49805775,0.00023201914,0.49966007,0.000058175996,0.00004001212,0.000051672137,0.00012891581,0.0005385896,0.0012327621],"genre_scores_gemma":[0.84459686,0.00018667885,0.15398598,0.00001910915,0.000024674753,0.000040149167,0.00021208449,0.000054234082,0.00088027585],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996444,0.000054444023,0.000021616637,0.00008824438,0.00015067657,0.000040700033],"domain_scores_gemma":[0.9994093,0.0002180896,0.00013880582,0.000058130856,0.00014857971,0.000027095588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043603376,0.00038743898,0.00039317546,0.0016190398,0.00021885261,0.00055628526,0.00048784594,0.0004148097,0.00047873083],"category_scores_gemma":[0.0013986089,0.00025635082,0.00027663144,0.0010923893,0.00030020848,0.00073050056,0.00041236528,0.0002640515,0.0003082499],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005720841,0.0001473977,0.019890212,0.00023510346,0.000053387426,0.00024465504,0.00036538803,0.024202311,0.2875993,0.00062348315,0.0007958668,0.6652708],"study_design_scores_gemma":[0.000047109566,0.00036721124,0.11821753,0.000051204788,0.000061011768,0.0005550517,0.00048976764,0.7760097,0.09991168,0.0017958011,0.0024207667,0.00007325952],"about_ca_topic_score_codex":0.0007682384,"about_ca_topic_score_gemma":0.0014105526,"teacher_disagreement_score":0.0016190398,"about_ca_system_score_codex":0.00012789485,"about_ca_system_score_gemma":0.00023575316,"threshold_uncertainty_score":0.002306044},"labels":[],"label_agreement":null},{"id":"W3196218634","doi":"10.1109/antem51107.2021.9518769","title":"Ferrite Loaded Shielded Half Loop Antenna for Electromagnetic Imaging inside Metallic Chambers","year":2021,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Shielded cable; Ferrite (magnet); Loop antenna; Electromagnetic shielding; Materials science; Electronic circuit; EMI; Electrical engineering; Acoustics; Antenna (radio); Optoelectronics; Electromagnetic interference; Nuclear magnetic resonance; Physics; Composite material; Radiation pattern; Engineering; Antenna factor","score_opus":0.016003315649278288,"score_gpt":0.2524773508170477,"score_spread":0.2364740351677694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196218634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56027263,0.000413614,0.4294952,0.00037786472,0.000089942594,0.000049819126,0.00020548116,0.0022243753,0.0068711326],"genre_scores_gemma":[0.89187795,0.00011247458,0.10393001,0.00010550401,0.000022913835,0.00003324146,0.0001264675,0.000104686565,0.003686686],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998834,0.00002982139,0.0000045366696,0.000024552899,0.000040783325,0.000016937098],"domain_scores_gemma":[0.9993686,0.00019588004,0.00017958343,0.000116037714,0.00009851647,0.00004141929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019177877,0.00026467783,0.0003030751,0.000120163975,0.000095243464,0.0005066024,0.00056633295,0.0004190351,0.0011400485],"category_scores_gemma":[0.00042015928,0.00013215106,0.00019253933,0.00015436941,0.00025248723,0.00042113988,0.00026891936,0.00018668766,0.00055394956],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003437538,0.000029860223,0.00096328644,0.00009395663,0.000019786854,0.00016571184,0.00009159056,0.0050848117,0.9729926,0.001749018,0.00072788884,0.017737692],"study_design_scores_gemma":[0.00003216171,0.00065346365,0.0023922354,0.000014980023,0.000030946343,0.0006146693,0.00005002268,0.0426191,0.9428095,0.0005709657,0.010181516,0.000030537394],"about_ca_topic_score_codex":0.00012163382,"about_ca_topic_score_gemma":0.00019491401,"teacher_disagreement_score":0.0011400485,"about_ca_system_score_codex":0.0003124159,"about_ca_system_score_gemma":0.00018390536,"threshold_uncertainty_score":0.0038138628},"labels":[],"label_agreement":null},{"id":"W3197158479","doi":"10.1190/segam2021-3585521.1","title":"3D radio-frequency electromagnetic wave modelling with an optimized frequency-domain finite-difference scheme","year":2021,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Discretization; Frequency domain; Electromagnetics; Radio frequency; Dispersion (optics); Grid; Computer science; Finite difference; Finite difference method; Computational electromagnetics; Physics; Geology; Telecommunications; Electromagnetic field; Mathematics; Engineering physics; Optics; Mathematical analysis; Geodesy","score_opus":0.020995247799506307,"score_gpt":0.2252184176457836,"score_spread":0.20422316984627728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197158479","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033608787,0.00011829756,0.958332,0.00013420475,0.00006109435,0.00006574487,0.00027542122,0.00039445044,0.007009995],"genre_scores_gemma":[0.48760292,0.00026120205,0.5030763,0.00010303865,0.000030360436,0.0002994342,0.000481654,0.00021790742,0.00792724],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984705,0.000034685916,0.000010179635,0.000019736803,0.00006872666,0.000019536503],"domain_scores_gemma":[0.9997563,0.00008160526,0.000035309862,0.00003810711,0.00007537931,0.000013384575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028210747,0.0004284418,0.000532896,0.0003332019,0.00026554885,0.0007171545,0.0010426929,0.0010811574,0.0021728603],"category_scores_gemma":[0.0007509449,0.0003646575,0.00058373204,0.00038401302,0.00041102266,0.00049529725,0.0005259725,0.000583,0.0005230702],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020340742,0.000019609859,0.0003779636,0.000038882397,0.000010129131,0.000046010737,0.000044873843,0.97614723,0.007883954,0.008063315,0.00036905336,0.00697871],"study_design_scores_gemma":[0.0000039005085,0.000004948879,0.000055399425,0.0000029246462,0.0000015660476,0.000010341564,0.0000033207148,0.99759513,0.0008552911,0.0005765485,0.0008866906,0.000003909379],"about_ca_topic_score_codex":0.0043869745,"about_ca_topic_score_gemma":0.0033341344,"teacher_disagreement_score":0.0043869745,"about_ca_system_score_codex":0.00049459125,"about_ca_system_score_gemma":0.0007673754,"threshold_uncertainty_score":0.008722842},"labels":[],"label_agreement":null},{"id":"W3197506520","doi":"10.1190/segam2021-3583227.1","title":"Automatic fracture hit detection in low-frequency distributed acoustic sensing using a computer vision workflow","year":2021,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Workflow; Computer science; Fracture (geology); Artificial intelligence; Geology; Database","score_opus":0.00861926639952429,"score_gpt":0.252543705485234,"score_spread":0.24392443908570974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197506520","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030122787,0.0002156141,0.9495028,0.0001716735,0.00005573327,0.0003628304,0.0013769468,0.01616355,0.0020279482],"genre_scores_gemma":[0.10036348,0.00015154072,0.8938015,0.000106975946,0.000026670634,0.00022278402,0.0035713492,0.00034085027,0.001414817],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991353,0.000055725446,0.00006918061,0.0003912246,0.00024496455,0.00010361626],"domain_scores_gemma":[0.9990257,0.00019404016,0.000081566235,0.00016319728,0.00042190464,0.000113490765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009631802,0.0012098725,0.0010332833,0.002831074,0.00082349434,0.0019777394,0.0015707301,0.0009517401,0.0024449052],"category_scores_gemma":[0.0018748117,0.00052367186,0.0012505434,0.0014826646,0.00054745114,0.0006826405,0.0013760856,0.0009816347,0.0025965243],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042351906,0.00037265877,0.007206089,0.0004623042,0.00012098291,0.00076955714,0.00039602866,0.05674828,0.14844222,0.0042133178,0.014000631,0.7668444],"study_design_scores_gemma":[0.000086105734,0.0001380466,0.0102142235,0.00005837818,0.000057987327,0.0004973056,0.00033534388,0.8792906,0.080151655,0.013789372,0.015287318,0.00009374309],"about_ca_topic_score_codex":0.020905683,"about_ca_topic_score_gemma":0.027312323,"teacher_disagreement_score":0.020905683,"about_ca_system_score_codex":0.0010207108,"about_ca_system_score_gemma":0.0033899203,"threshold_uncertainty_score":0.04156798},"labels":[],"label_agreement":null},{"id":"W3199187135","doi":"","title":"Electrical resistivity and surface-wave methods for the detection of shallow objects in glaciolacustrine clay","year":2020,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electrical resistivity and conductivity; Geology; Geotechnical engineering; Surface (topology); Mineralogy; Engineering; Mathematics; Geometry; Electrical engineering","score_opus":0.023019786827603854,"score_gpt":0.2553076089001493,"score_spread":0.23228782207254545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199187135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94326186,0.00032794307,0.05336904,0.00014180603,0.00001731777,0.00010691797,0.00023474255,0.00026390675,0.0022764844],"genre_scores_gemma":[0.96518767,0.00019253841,0.033868372,0.000015574322,0.000003595976,0.000043808333,0.00008661511,0.000008827168,0.0005929882],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998048,0.000044052886,0.00000852037,0.0000420261,0.000084701605,0.000015923097],"domain_scores_gemma":[0.9995764,0.00017264343,0.00008930192,0.000021788519,0.00012184131,0.00001802759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043939974,0.0002651648,0.00012914115,0.0011038182,0.00013436413,0.00040772237,0.0002813275,0.0002880921,0.0003797683],"category_scores_gemma":[0.00092189596,0.00017252714,0.00012858231,0.0006237871,0.00021385797,0.00034703186,0.00022979465,0.00017682688,0.00010026392],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037312548,0.00024264262,0.19642438,0.00029204105,0.000058945858,0.0008093142,0.00055359537,0.06027011,0.44731703,0.0011302305,0.0005091946,0.29201937],"study_design_scores_gemma":[0.00004602447,0.0009127632,0.37122425,0.000068719106,0.00004530172,0.0007774848,0.00075125933,0.5331545,0.089500435,0.00075930275,0.0026540286,0.00010596076],"about_ca_topic_score_codex":0.005272236,"about_ca_topic_score_gemma":0.019353537,"teacher_disagreement_score":0.005272236,"about_ca_system_score_codex":0.00032455157,"about_ca_system_score_gemma":0.0003519529,"threshold_uncertainty_score":0.010483086},"labels":[],"label_agreement":null},{"id":"W3201672770","doi":"10.1520/jte20210239","title":"Novel Analysis of Ultrasonic Pulse Propagation Tests for Characterization of Asphalt Concrete","year":2021,"lang":"en","type":"article","venue":"Journal of Testing and Evaluation","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Asphalt; Ultrasonic sensor; Characterization (materials science); Asphalt concrete; Materials science; Ultrasonic testing; Composite material; Forensic engineering; Structural engineering; Engineering; Acoustics; Physics","score_opus":0.07333700071573931,"score_gpt":0.338154607919689,"score_spread":0.26481760720394965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201672770","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7630964,0.0010568526,0.23281486,0.000038609043,0.000060860923,0.00006475041,0.00020824271,0.0006118172,0.0020476198],"genre_scores_gemma":[0.9641658,0.00033130412,0.034018744,0.000009676636,0.000017286107,0.000035694582,0.00015390111,0.000029806879,0.0012377246],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99929714,0.00007058208,0.000029042867,0.00009337008,0.00047040117,0.00003934146],"domain_scores_gemma":[0.9991667,0.00030390915,0.00017543361,0.00005772781,0.00026630593,0.000029866735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004238773,0.00057012547,0.0002860476,0.0016267891,0.00012838788,0.00033592817,0.00038197698,0.00034520516,0.0011676725],"category_scores_gemma":[0.0008380525,0.00021602375,0.00022422645,0.0006708695,0.00024203892,0.00043872616,0.0002895794,0.0003284211,0.00031960098],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010866872,0.000030680196,0.0025921895,0.00007593581,0.000011809334,0.00008446212,0.00004764016,0.0014937484,0.9629078,0.00012857755,0.000052741147,0.03246571],"study_design_scores_gemma":[0.0000048716224,0.00026314493,0.019025274,0.000010135967,0.00003437021,0.00031538715,0.000059181384,0.029853974,0.9495361,0.00011413996,0.00076456286,0.000018770632],"about_ca_topic_score_codex":0.00041454865,"about_ca_topic_score_gemma":0.00086483685,"teacher_disagreement_score":0.0016267891,"about_ca_system_score_codex":0.00017621677,"about_ca_system_score_gemma":0.0002012034,"threshold_uncertainty_score":0.0039063096},"labels":[],"label_agreement":null},{"id":"W3201993577","doi":"10.18280/ts.380426","title":"Propagation Features of Channel Wave Signal in Coal Seam with Scouring Zone","year":2021,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Shandong Province","keywords":"Coal mining; Geology; Channel (broadcasting); Coal; SIGNAL (programming language); Envelope (radar); Wave propagation; Multiphysics; Waveform; Acoustics; Seismology; Finite element method; Engineering; Structural engineering","score_opus":0.015063214189377587,"score_gpt":0.2243279101090274,"score_spread":0.2092646959196498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201993577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97388625,0.00008681604,0.024082728,0.00005936634,0.000016142178,0.000014365202,0.00015176505,0.00025690338,0.0014456017],"genre_scores_gemma":[0.99688125,0.000060213402,0.0023861548,0.0000056707227,0.000003925991,0.0000042348397,0.00010453622,0.000011665011,0.0005423951],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999442,0.000004651229,0.0000028290717,0.000013743495,0.000021048703,0.000013411639],"domain_scores_gemma":[0.9998877,0.000031365547,0.000024583791,0.000012313291,0.000028348144,0.000015684951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011604985,0.00029139698,0.000117388656,0.0005461172,0.00022169903,0.0002586897,0.00026019363,0.00033160788,0.0009395938],"category_scores_gemma":[0.00032096312,0.000107991975,0.00023489248,0.0003895361,0.00025078907,0.00036124652,0.00021841505,0.00021115007,0.00008814417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00090549595,0.00031823615,0.14304827,0.00039415015,0.00010677401,0.0038026236,0.0014270402,0.4916383,0.24319625,0.0049402583,0.0021222734,0.10810039],"study_design_scores_gemma":[0.000037436403,0.00021711215,0.112433635,0.000022563318,0.000059562815,0.0004992315,0.00054468086,0.8582283,0.025736026,0.0011026527,0.0010424813,0.00007626654],"about_ca_topic_score_codex":0.006119111,"about_ca_topic_score_gemma":0.004032744,"teacher_disagreement_score":0.006119111,"about_ca_system_score_codex":0.00017768108,"about_ca_system_score_gemma":0.0002908455,"threshold_uncertainty_score":0.012166977},"labels":[],"label_agreement":null},{"id":"W3203224076","doi":"10.1139/cgj-2021-0041","title":"District-scale numerical analysis of settlements related to groundwater lowering in variable soil conditions","year":2021,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Deltares; Erasmus+; Università degli Studi di Salerno; Technische Universiteit Delft","keywords":"Masonry; Human settlement; Groundwater; Settlement (finance); Geotechnical engineering; Environmental science; Civil engineering; Scale (ratio); Subsidence; Geology; Geography; Engineering; Computer science; Cartography; Structural basin","score_opus":0.00782839819267727,"score_gpt":0.24470612976537878,"score_spread":0.2368777315727015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203224076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926553,0.000055201017,0.0051639737,0.0000389275,0.000007888353,0.00002205718,0.00031399468,0.00008227084,0.0016603279],"genre_scores_gemma":[0.99892575,0.000020119654,0.000744938,0.000003075569,0.0000015649526,0.00000633058,0.000106423126,0.0000047262706,0.00018703741],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998109,0.00003987583,0.000011631874,0.000040492043,0.000030229192,0.00006684495],"domain_scores_gemma":[0.99954873,0.00017256622,0.00009431334,0.00006667083,0.000056838933,0.000060816605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031211105,0.00024357282,0.0003971317,0.0008831779,0.00033726761,0.00073608896,0.0005784806,0.0007188274,0.0013290675],"category_scores_gemma":[0.0014157838,0.00021844335,0.00047597295,0.000970983,0.00058377266,0.00042416304,0.000692069,0.00030832159,0.00014094193],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063749256,0.00007551339,0.023890294,0.000033166107,0.000027321037,0.00017982496,0.000047309768,0.97070867,0.0016428265,0.0007196477,0.000161155,0.0024504412],"study_design_scores_gemma":[0.000010970244,0.00003825717,0.016962528,0.0000037753864,0.000013208646,0.00003414623,0.0001106266,0.98181146,0.00050205155,0.00034656576,0.00015513644,0.000011236523],"about_ca_topic_score_codex":0.012571304,"about_ca_topic_score_gemma":0.009326277,"teacher_disagreement_score":0.012571304,"about_ca_system_score_codex":0.0007462928,"about_ca_system_score_gemma":0.0004522372,"threshold_uncertainty_score":0.02499628},"labels":[],"label_agreement":null},{"id":"W3204845106","doi":"10.1190/geo2021-0065.1","title":"Preserving Holocaust history: Geophysical investigations at the Ponary (Paneriai) extermination site","year":2021,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BGC Engineering (Canada)","funders":"BGC Engineering","keywords":"Excavation; Geology; Electrical resistivity tomography; Archaeology; Limiting; The Holocaust; Geophysics; History; Paleontology; Law; Engineering","score_opus":0.02294548931125318,"score_gpt":0.2260870969039447,"score_spread":0.20314160759269154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204845106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99818903,0.000068532194,0.00011346484,0.000053962838,0.0000027649357,0.000023082535,0.00009596897,0.000005313891,0.0014479384],"genre_scores_gemma":[0.99843794,0.000106041676,0.000534317,0.000028441744,0.0000056831705,0.000020765407,0.00015046528,0.0000036093195,0.0007127654],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99986124,0.00002769997,0.000005155625,0.000031800482,0.000037737867,0.00003633721],"domain_scores_gemma":[0.9997656,0.000025042807,0.000082890256,0.000020247257,0.000046813308,0.00005943944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025626455,0.00027490695,0.00014098012,0.001238995,0.0012280716,0.0006182071,0.0005851084,0.0004806597,0.001264275],"category_scores_gemma":[0.00042374094,0.00023195917,0.000108473956,0.0013189003,0.00089952565,0.0006701158,0.0013294441,0.0005784729,0.00013977675],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020111204,0.00020083987,0.8962334,0.00021019635,0.00004630052,0.012518261,0.03920789,0.00036941198,0.015658656,0.00037111432,0.00091692834,0.03406601],"study_design_scores_gemma":[0.0000020075229,0.00004194631,0.9916632,0.000011578329,0.000003785464,0.0005768047,0.0064172954,0.000102123886,0.0001772052,0.000028175173,0.00097261753,0.0000032883067],"about_ca_topic_score_codex":0.026026191,"about_ca_topic_score_gemma":0.087154336,"teacher_disagreement_score":0.026026191,"about_ca_system_score_codex":0.00066149316,"about_ca_system_score_gemma":0.00062066776,"threshold_uncertainty_score":0.05174941},"labels":[],"label_agreement":null},{"id":"W3205637802","doi":"10.23919/ursigass51995.2021.9560579","title":"Ground Plane Proximity Effects in Three-Loop Antenna Systems","year":2021,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ground plane; Dipole; Antenna (radio); Loop (graph theory); Magnetic dipole; Moment (physics); Plane (geometry); Physics; Loop antenna; Dipole antenna; Electrical engineering; Geometry; Mathematics; Engineering; Classical mechanics; Antenna factor","score_opus":0.015186489108114522,"score_gpt":0.23886169250160452,"score_spread":0.22367520339349,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205637802","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82522476,0.00047947056,0.16706151,0.00015453938,0.00003611388,0.000027321248,0.00004692424,0.0005008205,0.006468494],"genre_scores_gemma":[0.99703395,0.00006619772,0.0025787365,0.000014063976,0.0000048077422,0.0000035920143,0.000009837573,0.000009804137,0.00027913132],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999635,0.00013315472,0.000011211528,0.00006617246,0.000113401,0.000040974097],"domain_scores_gemma":[0.99852884,0.0010496714,0.00016627635,0.00010721387,0.000117087024,0.000030871615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029531025,0.0002588782,0.00036695512,0.00022406208,0.00022679738,0.00051819655,0.00028456055,0.0006975091,0.00091107114],"category_scores_gemma":[0.0024349368,0.00018062342,0.0002098775,0.00034103825,0.00058098754,0.00082007033,0.0005621623,0.00037525647,0.00020697805],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000479353,0.00006993457,0.004181765,0.0001588809,0.000059796817,0.0006985902,0.00053638726,0.83122593,0.12770584,0.0056273867,0.00029902888,0.028957084],"study_design_scores_gemma":[0.000050534134,0.00061828946,0.004912984,0.000021408563,0.00005051366,0.0007768315,0.00016350139,0.9354258,0.05135753,0.00475427,0.0018253723,0.00004296419],"about_ca_topic_score_codex":0.0004746377,"about_ca_topic_score_gemma":0.00026568383,"teacher_disagreement_score":0.00091107114,"about_ca_system_score_codex":0.00028017678,"about_ca_system_score_gemma":0.00009971956,"threshold_uncertainty_score":0.0030477643},"labels":[],"label_agreement":null},{"id":"W3207761439","doi":"10.3997/nsg.155001","title":"Interpolating GPR data using anti‐alias singular spectrum analysis (SSA) method","year":2017,"lang":"en","type":"article","venue":"Near Surface Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Ground-penetrating radar; Computer science; Geology; Transmitter; Offset (computer science); Interpolation (computer graphics); Frequency domain; Spurious relationship; Algorithm; Alias; Midpoint; Radar; Data mining; Artificial intelligence; Telecommunications; Mathematics; Computer vision; Channel (broadcasting); Geometry","score_opus":0.07056713647458299,"score_gpt":0.3629183267807169,"score_spread":0.2923511903061339,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207761439","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0812381,0.000056522134,0.91754645,0.000020412574,0.000020969968,0.000019040895,0.0000445444,0.0005673724,0.00048652434],"genre_scores_gemma":[0.39302197,0.0001403156,0.60559905,0.000014222023,0.000014888243,0.00004047542,0.00025562488,0.00007907272,0.00083444995],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998598,0.00002976165,0.000011519375,0.000028043934,0.00005526122,0.00001551178],"domain_scores_gemma":[0.99966,0.00010995985,0.00003771067,0.000077973506,0.00010270197,0.000011694872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044025254,0.0004598461,0.00028239112,0.00082062074,0.00016411267,0.00040201988,0.00037532696,0.00038754835,0.0009531003],"category_scores_gemma":[0.0012707738,0.00017072735,0.0005548376,0.00067794067,0.00021130513,0.00044277485,0.00032873056,0.00040142727,0.00048057226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025770502,0.0001606919,0.004126548,0.00014579335,0.00008834284,0.00019179864,0.00022535954,0.53193,0.0898728,0.0052499454,0.00067144836,0.36707962],"study_design_scores_gemma":[0.0000034392099,0.000025440715,0.0007267488,0.000004791053,0.0000068978406,0.000028448996,0.000017740269,0.9907732,0.007472466,0.00047574137,0.00045964035,0.0000054369852],"about_ca_topic_score_codex":0.0016447157,"about_ca_topic_score_gemma":0.0012633607,"teacher_disagreement_score":0.0016447157,"about_ca_system_score_codex":0.000116823496,"about_ca_system_score_gemma":0.0003922528,"threshold_uncertainty_score":0.003270328},"labels":[],"label_agreement":null},{"id":"W3208023870","doi":"10.1139/cgj-2021-0341","title":"Formation mechanism of clogging of dredge slurry under vacuum preloading visualized using digital image technology","year":2021,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"H2020 Marie Skłodowska-Curie Actions; National Natural Science Foundation of China; European Commission","keywords":"Clogging; Consolidation (business); Geotechnical engineering; Pore water pressure; Drainage; Particle image velocimetry; Slurry; Materials science; Geology; Composite material; Mechanics","score_opus":0.016595997390908532,"score_gpt":0.27346883244850695,"score_spread":0.2568728350575984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208023870","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.979167,0.0007237834,0.01720619,0.00012223709,0.00002890682,0.000040467705,0.00023659742,0.00031607348,0.0021587326],"genre_scores_gemma":[0.98852557,0.00034397727,0.008749761,0.000040048017,0.000004748905,0.000021845255,0.0001346654,0.000018351813,0.0021610383],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99989367,0.0000050730714,0.0000055696914,0.000026648278,0.000039257644,0.000029733748],"domain_scores_gemma":[0.99983954,0.00003571768,0.00004948596,0.000015579128,0.00004201133,0.000017719043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015578006,0.00022196639,0.00019123226,0.00070395967,0.00020600564,0.00027025153,0.0003423137,0.00042130853,0.0012609775],"category_scores_gemma":[0.000253181,0.00021968971,0.00024260033,0.00032216826,0.0003367359,0.00042347706,0.00021838589,0.0003661657,0.00016428866],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011900658,0.000016873235,0.0023544414,0.00009667262,0.000004407561,0.00045407546,0.0001573763,0.0008860691,0.98738164,0.0003783461,0.00017390802,0.007977261],"study_design_scores_gemma":[0.000016945292,0.00014580815,0.01828306,0.000015883508,0.00001740424,0.00030396134,0.00022316446,0.0146281365,0.96432906,0.00018313363,0.0018300619,0.000023475288],"about_ca_topic_score_codex":0.0032821218,"about_ca_topic_score_gemma":0.0031231837,"teacher_disagreement_score":0.0032821218,"about_ca_system_score_codex":0.00035719053,"about_ca_system_score_gemma":0.0002562885,"threshold_uncertainty_score":0.006526053},"labels":[],"label_agreement":null},{"id":"W3208448786","doi":"10.3390/rs13214359","title":"A Bayesian Network Approach to Evaluating the Effectiveness of Modern Mine Hunting","year":2021,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Computer science; Bayesian network; Data mining; False alarm; Bayesian probability; Sonar; Grid; Artificial intelligence; Geology","score_opus":0.02793829522742587,"score_gpt":0.29630959632807147,"score_spread":0.2683713011006456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208448786","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025475247,0.0007784466,0.96886617,0.000312478,0.00003761069,0.00015643498,0.00032704283,0.00027053754,0.0037760637],"genre_scores_gemma":[0.614006,0.0010948897,0.38156044,0.00017107277,0.00014477802,0.00041548075,0.00065246643,0.00006765088,0.0018872911],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99444866,0.0029859259,0.0003437363,0.00075716554,0.0012650074,0.00019938906],"domain_scores_gemma":[0.980431,0.01564025,0.0015183964,0.0005640892,0.0015988328,0.00024742045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00938952,0.0018187664,0.0013988634,0.0052463887,0.0006200354,0.0023954827,0.0016255705,0.0017836025,0.002079559],"category_scores_gemma":[0.032792963,0.00070732343,0.0010165587,0.0019833446,0.0012296384,0.0034029083,0.0014842615,0.001462261,0.0003173242],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024657368,0.00011476183,0.009449271,0.00017589137,0.00039103412,0.00010769233,0.00015673222,0.87625355,0.0011819644,0.019511867,0.0007531682,0.091657594],"study_design_scores_gemma":[0.000014080666,0.000110953886,0.0017445112,0.000039354483,0.0000500417,0.000057168003,0.00004271343,0.97864574,0.00071870047,0.017768128,0.000779029,0.000029650224],"about_ca_topic_score_codex":0.01175583,"about_ca_topic_score_gemma":0.00853732,"teacher_disagreement_score":0.01175583,"about_ca_system_score_codex":0.002382438,"about_ca_system_score_gemma":0.0015907009,"threshold_uncertainty_score":0.049657106},"labels":[],"label_agreement":null},{"id":"W3209188605","doi":"10.1130/abs/2021am-371481","title":"DIRECT MEASUREMENT OF GROUNDWATER DISCHARGE TO A LARGE LAKE","year":2021,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Groundwater; Environmental science; Groundwater discharge; Hydrology (agriculture); Geology; Groundwater recharge; Aquifer; Geotechnical engineering","score_opus":0.026293335062606425,"score_gpt":0.256396499881409,"score_spread":0.23010316481880258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209188605","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99368155,0.000072766976,0.0032914383,0.000110502624,0.000017514996,0.00003323531,0.00042508994,0.00012434267,0.002243577],"genre_scores_gemma":[0.9954,0.00004895669,0.0030888617,0.000039148956,0.000016045891,0.000031308922,0.00017710465,0.000011885091,0.0011865578],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998412,0.000017994264,0.0000050310246,0.0000489222,0.00006600225,0.000020861093],"domain_scores_gemma":[0.9997583,0.00007909054,0.000023764234,0.000025222194,0.00006307969,0.000050663824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013972745,0.00017296973,0.00031162964,0.00034972504,0.00096084026,0.00041900112,0.00033062362,0.0004741175,0.0010946367],"category_scores_gemma":[0.00046638993,0.0002289605,0.00018838476,0.00040713293,0.00041027574,0.00037567917,0.00071134866,0.0005161227,0.00023481793],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011384133,0.00027582742,0.12798294,0.00017168788,0.000084144514,0.0004877699,0.0009202841,0.0019587243,0.83495927,0.00034744688,0.0012224446,0.030451128],"study_design_scores_gemma":[0.0004959884,0.002655222,0.6863895,0.00003924918,0.00024044275,0.000695717,0.0009906528,0.039167173,0.25970593,0.00063747604,0.008893346,0.0000892697],"about_ca_topic_score_codex":0.0076519656,"about_ca_topic_score_gemma":0.021973412,"teacher_disagreement_score":0.0076519656,"about_ca_system_score_codex":0.00038999718,"about_ca_system_score_gemma":0.0008311975,"threshold_uncertainty_score":0.01521486},"labels":[],"label_agreement":null},{"id":"W3210861804","doi":"10.32920/ryerson.14644542.v1","title":"Applications of ground penetrating radar in geotechnical investigation","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Ground-penetrating radar; Borehole; Geotechnical investigation; Geotechnical engineering; Geology; Radar; Remote sensing; Engineering","score_opus":0.022432532287810645,"score_gpt":0.2732521562748717,"score_spread":0.25081962398706104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210861804","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13707672,0.028487707,0.77711165,0.0016514336,0.00032381376,0.00020970809,0.000222965,0.00061465934,0.054301247],"genre_scores_gemma":[0.74065423,0.023200456,0.22663924,0.00035278636,0.00023219005,0.00008137466,0.00020838805,0.00007293208,0.008558471],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980161,0.0009704967,0.00007080219,0.00021800023,0.0006474548,0.00007711113],"domain_scores_gemma":[0.9984074,0.0008303893,0.00012783275,0.00025044815,0.00034253337,0.0000414215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015897312,0.0004749846,0.0002932948,0.0009824544,0.00026284083,0.0012487343,0.00044353717,0.0011216705,0.0018588771],"category_scores_gemma":[0.0025232704,0.00030607526,0.0001949722,0.0018016092,0.0010168963,0.0009691664,0.0011141357,0.0005009407,0.00096988364],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024297259,0.00019662864,0.016872637,0.001118175,0.000079052836,0.0011619522,0.0009588771,0.05123805,0.11442629,0.029115854,0.0033194066,0.78127015],"study_design_scores_gemma":[0.000089660854,0.002509034,0.043705896,0.0013721865,0.00026224903,0.010791742,0.004314453,0.29765314,0.2315978,0.16992591,0.23748533,0.00029262106],"about_ca_topic_score_codex":0.000445674,"about_ca_topic_score_gemma":0.0003631015,"teacher_disagreement_score":0.0018588771,"about_ca_system_score_codex":0.00023443156,"about_ca_system_score_gemma":0.00036864585,"threshold_uncertainty_score":0.008407414},"labels":[],"label_agreement":null},{"id":"W3211837290","doi":"10.1109/mfi52462.2021.9591167","title":"Detection of Conductive Lane Markers using mm Wave FMCW Automotive Radar","year":2021,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Radar; Electrical conductor; Snow; Automotive industry; Computer science; Extremely high frequency; Remote sensing; Radar imaging; Lidar; Automotive engineering; Aerospace engineering; Telecommunications; Geology; Engineering; Electrical engineering; Meteorology; Physics","score_opus":0.028288059793963056,"score_gpt":0.2579381522518057,"score_spread":0.22965009245784265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211837290","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59341043,0.00046102438,0.40108547,0.00015787556,0.000096247,0.000044213724,0.000069088026,0.0008980379,0.0037776784],"genre_scores_gemma":[0.93190426,0.00019008033,0.06609224,0.00008423653,0.000030390844,0.00002083448,0.000064900116,0.00002110131,0.0015917992],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99970466,0.00006338505,0.000010226034,0.000053104744,0.00012439638,0.00004414107],"domain_scores_gemma":[0.9994978,0.00015872798,0.000111193636,0.000051309195,0.00015348147,0.000027492764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030102706,0.00033585995,0.00021628861,0.00060375803,0.00011273071,0.00044776316,0.0004452443,0.0006100694,0.0005805223],"category_scores_gemma":[0.0008273417,0.0001476956,0.00012943975,0.00025628947,0.00020152499,0.00071064936,0.00049172534,0.00030371433,0.0004908941],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022268665,0.00012064789,0.0061251796,0.00012756587,0.000027133674,0.0002159195,0.00026027084,0.004323273,0.82805985,0.0008664417,0.00059700065,0.15905407],"study_design_scores_gemma":[0.000060091363,0.0014195939,0.024406604,0.000058353347,0.000067494715,0.0014239545,0.00050909707,0.1337072,0.82951087,0.001392572,0.0073762382,0.00006791998],"about_ca_topic_score_codex":0.00020474865,"about_ca_topic_score_gemma":0.00030588006,"teacher_disagreement_score":0.0006100694,"about_ca_system_score_codex":0.000111008056,"about_ca_system_score_gemma":0.00012385786,"threshold_uncertainty_score":0.0019420385},"labels":[],"label_agreement":null},{"id":"W3212518151","doi":"10.1109/jsen.2021.3127136","title":"Design of a High-Power Gaussian Pulse Transmitter for Sensing and Imaging of Buried Objects","year":2021,"lang":"en","type":"article","venue":"IEEE Sensors Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transmitter; Vivaldi antenna; Balun; Antenna (radio); Computer science; Monopulse radar; Electronic engineering; Ringing; Electrical engineering; Physics; Engineering; Radar; Telecommunications; Radiation pattern; Radar imaging; Pulse-Doppler radar","score_opus":0.014527487315352498,"score_gpt":0.2471263955011625,"score_spread":0.23259890818581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212518151","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14076541,0.0007009634,0.8520778,0.00024179535,0.00011983582,0.00023953854,0.00008568675,0.001148149,0.0046207896],"genre_scores_gemma":[0.64336777,0.000428385,0.34965083,0.00013954884,0.00007952141,0.00016009243,0.00011273818,0.00008958644,0.005971527],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99983764,0.000017698067,0.000007241278,0.000040990766,0.000076275515,0.000020120075],"domain_scores_gemma":[0.99976915,0.000041743,0.00005961564,0.000020360876,0.00008534815,0.000023841674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023036105,0.0003990166,0.00032368663,0.0002916363,0.00015894267,0.00044748516,0.0011444042,0.0004227204,0.0011125173],"category_scores_gemma":[0.00024920236,0.0002353911,0.00022191454,0.00024518193,0.00022256038,0.00059366884,0.00031683478,0.00026493132,0.0005862014],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011435178,0.00006489559,0.00079085864,0.00027444307,0.00004116613,0.00020611096,0.000102619684,0.0036656924,0.93939334,0.003554931,0.00063036574,0.0511611],"study_design_scores_gemma":[0.00006972961,0.001191179,0.0021310125,0.000027148168,0.000082810235,0.0011281185,0.000053284683,0.09980396,0.8820874,0.00052201044,0.012867451,0.000035923043],"about_ca_topic_score_codex":0.00020517233,"about_ca_topic_score_gemma":0.0003663125,"teacher_disagreement_score":0.0011444042,"about_ca_system_score_codex":0.0004965118,"about_ca_system_score_gemma":0.00052817346,"threshold_uncertainty_score":0.0037217736},"labels":[],"label_agreement":null},{"id":"W3214376862","doi":"10.5194/sand-1-299-2021","title":"Workshop: Best-practice for laboratory testing low-permeable materials","year":2021,"lang":"en","type":"article","venue":"Safety of Nuclear Waste Disposal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Radioactive waste; Bentonite; Permeability (electromagnetism); Waste management; Waste disposal; Environmental science; Petroleum engineering; Best practice; Construction engineering; Computer science; Forensic engineering; Geology; Engineering; Geotechnical engineering; Chemistry; Law","score_opus":0.0156176447129381,"score_gpt":0.26380897210725746,"score_spread":0.24819132739431934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214376862","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026594426,0.0049002254,0.94379365,0.020154048,0.0038331305,0.0026002745,0.0004117101,0.006971379,0.014676246],"genre_scores_gemma":[0.020856187,0.005337244,0.942658,0.008463992,0.0014139039,0.0037268284,0.00088122534,0.003103686,0.01355887],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9049927,0.052422326,0.0061927494,0.0069214995,0.026723564,0.002747171],"domain_scores_gemma":[0.8644138,0.03302547,0.0057894518,0.04124829,0.047859717,0.0076632486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.14919186,0.0042710076,0.002896573,0.004461462,0.0032960689,0.01154345,0.015214247,0.011153324,0.014671669],"category_scores_gemma":[0.09945568,0.0027647533,0.002953503,0.00245402,0.010288126,0.009838032,0.0151335,0.012328282,0.038591005],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008410826,0.0021172154,0.002506165,0.0061234455,0.00031350707,0.002247381,0.0071724476,0.0063912882,0.08640231,0.044613354,0.21475723,0.62651455],"study_design_scores_gemma":[0.00019140154,0.0013737392,0.0016092124,0.0065031108,0.00012525836,0.0025400696,0.0032273638,0.007437946,0.06660033,0.077443495,0.8324955,0.00045262655],"about_ca_topic_score_codex":0.0014380834,"about_ca_topic_score_gemma":0.0016698287,"teacher_disagreement_score":0.14919186,"about_ca_system_score_codex":0.0036363306,"about_ca_system_score_gemma":0.01096905,"threshold_uncertainty_score":0.78901136},"labels":[],"label_agreement":null},{"id":"W3214756945","doi":"10.1063/pt.3.4899","title":"Subsurface imaging shows scale of the tragedy of Indigenous children","year":2021,"lang":"en","type":"article","venue":"Physics Today","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Scale (ratio); Tragedy (event); Remote sensing; Geography; Geology; Sociology; Cartography; Ecology; Biology; Social science","score_opus":0.006232257314652608,"score_gpt":0.21614970724565807,"score_spread":0.20991744993100547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214756945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95605963,0.00043437938,0.0049241446,0.00084004033,0.000056322362,0.00002932409,0.0030083691,0.00042872052,0.03421907],"genre_scores_gemma":[0.9874083,0.00034519553,0.0047182096,0.00012470917,0.0000141055025,0.000010108271,0.0007016595,0.00007302832,0.0066047804],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99992704,0.0000023663472,0.0000012914667,0.000011727462,0.000029756668,0.000027725608],"domain_scores_gemma":[0.99982363,0.000024700586,0.000024137165,0.000013212069,0.00008489973,0.00002944203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008481986,0.00020402818,0.000101915546,0.0010985574,0.0006470331,0.0007955203,0.00016322003,0.0003482852,0.0061201644],"category_scores_gemma":[0.00034255083,0.00019239656,0.00011602462,0.00091908546,0.00047074855,0.00035839019,0.0004924374,0.0005684965,0.00056685676],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006860076,0.00013478268,0.3047015,0.00055641646,0.00013097147,0.0035695827,0.013502881,0.0041843997,0.34473816,0.004269958,0.027973004,0.29555225],"study_design_scores_gemma":[0.000009834431,0.000059918202,0.96178347,0.00008657556,0.0000348737,0.0012396015,0.010083522,0.0012984471,0.0101568485,0.0006951578,0.01451823,0.000033507207],"about_ca_topic_score_codex":0.104708716,"about_ca_topic_score_gemma":0.25401342,"teacher_disagreement_score":0.89529127,"about_ca_system_score_codex":0.00033478602,"about_ca_system_score_gemma":0.00082480506,"threshold_uncertainty_score":0.20819849},"labels":[],"label_agreement":null},{"id":"W340914672","doi":"","title":"DSTO Landmine Detection Test Targets","year":2005,"lang":"en","type":"article","venue":"Defense Technical Information Center (DTIC)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Engineering; Test site; Detector; Remote sensing; Test (biology); Electrical engineering; Geography","score_opus":0.009435773617800122,"score_gpt":0.23170567854260174,"score_spread":0.22226990492480161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W340914672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69216233,0.000568322,0.12553573,0.00088108314,0.00035879994,0.0014587494,0.0046504843,0.003467787,0.17091674],"genre_scores_gemma":[0.872182,0.00026318303,0.052268595,0.00046110046,0.000017848055,0.00045686378,0.0063243345,0.00023215212,0.067793965],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994205,0.000060019884,0.000019644462,0.000052995256,0.00039495624,0.000051817555],"domain_scores_gemma":[0.9994267,0.000038928676,0.000048403737,0.00006509237,0.00037561706,0.000045234778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039184507,0.00029845742,0.00019873277,0.00045995542,0.00040562326,0.00045970036,0.00037434103,0.00050048303,0.004533273],"category_scores_gemma":[0.0007125126,0.00012668617,0.00014647919,0.0003248413,0.00021434198,0.0003669287,0.0003369485,0.00025258618,0.0013621607],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011570111,0.00036590773,0.020742347,0.00032946948,0.000041161813,0.0006514963,0.00039657572,0.010742039,0.7606758,0.009680033,0.051194817,0.1440233],"study_design_scores_gemma":[0.00021470377,0.0029397132,0.027463764,0.000037373917,0.00006400723,0.001723862,0.00024999346,0.024028966,0.7034656,0.0008732318,0.23888093,0.00005790479],"about_ca_topic_score_codex":0.0041050743,"about_ca_topic_score_gemma":0.007562865,"teacher_disagreement_score":0.004533273,"about_ca_system_score_codex":0.00072424643,"about_ca_system_score_gemma":0.00075244816,"threshold_uncertainty_score":0.015165269},"labels":[],"label_agreement":null},{"id":"W3544051","doi":"10.22260/isarc2013/0005","title":"Correlation-Based Model for Evaluating Ground Penetrating Radar (GPR) Data of Concrete Bridge Decks","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ground-penetrating radar; Bridge (graph theory); Rebar; Radar; Nondestructive testing; Structural engineering; Geology; Slab; Computer science; Geotechnical engineering; Engineering; Telecommunications","score_opus":0.09223943548298627,"score_gpt":0.3226200491990632,"score_spread":0.2303806137160769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3544051","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025177386,0.0003737159,0.97082436,0.00012680773,0.00003585215,0.000097332064,0.00017547816,0.0007241201,0.0024649391],"genre_scores_gemma":[0.89790565,0.0011330672,0.09090405,0.00013457514,0.00007420571,0.00056174834,0.0007145011,0.0002571756,0.008314932],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989498,0.0002506186,0.000049308524,0.00022709648,0.0004122662,0.000110864545],"domain_scores_gemma":[0.99858814,0.00065183337,0.00015913014,0.000077345845,0.00049102557,0.00003247386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013250433,0.001125965,0.000791303,0.0012190371,0.0002750063,0.0012148174,0.00161004,0.0013119539,0.0016291235],"category_scores_gemma":[0.0033203696,0.00046536545,0.0010343529,0.0008679748,0.0005571746,0.0010439566,0.0006643305,0.00092012907,0.0011668636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072605006,0.00004321614,0.0016767548,0.000066655586,0.000036572033,0.00011156612,0.000051299,0.9697306,0.004662448,0.0026530721,0.0006658322,0.02022934],"study_design_scores_gemma":[0.0000017226151,0.000013361149,0.00023621804,0.0000038758913,0.000008244654,0.000020389374,0.000004034035,0.9988625,0.00040799993,0.00030260585,0.00013374707,0.000005305856],"about_ca_topic_score_codex":0.007893291,"about_ca_topic_score_gemma":0.0040621916,"teacher_disagreement_score":0.007893291,"about_ca_system_score_codex":0.0011103823,"about_ca_system_score_gemma":0.00095448655,"threshold_uncertainty_score":0.015694678},"labels":[],"label_agreement":null},{"id":"W365190427","doi":"","title":"Development of a Pavement Management and Prioritization Framework for Three Active Municipal Landfills","year":2012,"lang":"en","type":"article","venue":"2012 CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA - TRANSPORTATION: INNOVATIONS AND OPPORTUNITIES","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Falling weight deflectometer; Prioritization; Pavement management; Civil engineering; Transport engineering; Engineering; Environmental science; Subgrade","score_opus":0.04043781208194534,"score_gpt":0.2473282240705747,"score_spread":0.20689041198862934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W365190427","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07664244,0.0007605189,0.90539426,0.001466635,0.000030437497,0.0018118939,0.0011901924,0.002509374,0.010194304],"genre_scores_gemma":[0.24406634,0.00029673602,0.7528006,0.000065028835,0.0000122088995,0.00035630824,0.0010498442,0.00005664056,0.0012962837],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996935,0.000683715,0.0003522707,0.0006062238,0.0010002865,0.000422514],"domain_scores_gemma":[0.99764675,0.00048101056,0.00036372768,0.00014214157,0.0010838815,0.00028251973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0061402163,0.0011136206,0.0008657092,0.0068581663,0.0016658558,0.005179411,0.0021511263,0.0009540429,0.0021608307],"category_scores_gemma":[0.004274633,0.00068063353,0.0013253834,0.0029412059,0.0011580759,0.0036573785,0.0023114274,0.0011868734,0.00036371316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018461762,0.00087032013,0.033125233,0.00095613406,0.00025033017,0.0016825722,0.0042496007,0.38778612,0.01874285,0.14914069,0.006129611,0.3968819],"study_design_scores_gemma":[0.00007075245,0.0003185423,0.009388382,0.00044222985,0.00016197113,0.00042416973,0.006148068,0.89389956,0.011964948,0.039039083,0.03798307,0.00015921185],"about_ca_topic_score_codex":0.081205264,"about_ca_topic_score_gemma":0.09867804,"teacher_disagreement_score":0.081205264,"about_ca_system_score_codex":0.0076319575,"about_ca_system_score_gemma":0.012521839,"threshold_uncertainty_score":0.16146517},"labels":[],"label_agreement":null},{"id":"W4200399551","doi":"10.1201/9781003077954-19","title":"Ground Penetrating Radar: Applications in sand and gravel aggregate exploration","year":2021,"lang":"en","type":"book-chapter","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ground-penetrating radar; Aggregate (composite); Geology; Radar; Geotechnical engineering; Remote sensing; Engineering; Materials science; Aerospace engineering","score_opus":0.03065456434363524,"score_gpt":0.2508549189344525,"score_spread":0.22020035459081727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200399551","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018639078,0.31079882,0.28879243,0.0021993443,0.0017700074,0.0002454518,0.0006195539,0.0031928467,0.3737424],"genre_scores_gemma":[0.07909068,0.31565198,0.22222856,0.0015884503,0.0012119217,0.000115954404,0.00092620665,0.00041318784,0.3787731],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99985576,0.000013677558,0.0000062401755,0.000025126334,0.00008721195,0.000011950595],"domain_scores_gemma":[0.9998288,0.0000693655,0.000009648404,0.000016017972,0.000060923114,0.000015164354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031506663,0.0005560565,0.0003286325,0.0013286353,0.00026571524,0.0008949989,0.00060901116,0.0012092399,0.0111614475],"category_scores_gemma":[0.0002663194,0.00035878265,0.00018816612,0.002224412,0.00031680038,0.0010712246,0.0005356567,0.00069876324,0.0073250597],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034303317,0.000043427026,0.0005999028,0.0006278042,0.000010878842,0.00046911748,0.0002133309,0.0026955558,0.029869994,0.006850004,0.02806658,0.93051916],"study_design_scores_gemma":[0.000011409323,0.00016010046,0.003241911,0.0005183823,0.00003344498,0.003821712,0.00028073543,0.01104825,0.021197917,0.011486745,0.94814986,0.000049504382],"about_ca_topic_score_codex":0.00082488096,"about_ca_topic_score_gemma":0.0015503996,"teacher_disagreement_score":0.0111614475,"about_ca_system_score_codex":0.0001890527,"about_ca_system_score_gemma":0.00017359827,"threshold_uncertainty_score":0.037338734},"labels":[],"label_agreement":null},{"id":"W4200470585","doi":"10.1061/(asce)ps.1949-1204.0000632","title":"Review of Machine Learning Algorithms for Automatic Detection of Underground Objects in GPR Images","year":2021,"lang":"en","type":"article","venue":"Journal of Pipeline Systems Engineering and Practice","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Ground-penetrating radar; Computer science; Artificial intelligence; Algorithm; Machine learning; Convolutional neural network; Artificial neural network; Interpretation (philosophy); Radar","score_opus":0.019383667320765605,"score_gpt":0.3004941346099316,"score_spread":0.28111046728916594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200470585","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0049901945,0.62782615,0.35523725,0.0012518343,0.0011909143,0.000101912156,0.00047726082,0.001057302,0.007867182],"genre_scores_gemma":[0.04436914,0.70416296,0.23809458,0.0010819252,0.0019792714,0.00020951005,0.0021605657,0.00025942578,0.007682655],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994068,0.00009148297,0.00010033488,0.00015101113,0.00021786599,0.000032505508],"domain_scores_gemma":[0.99881256,0.0005466426,0.00007880426,0.000058662295,0.0004848942,0.000018469229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009687075,0.001052582,0.00095549796,0.002292583,0.00028976248,0.0008946856,0.0013116304,0.00096903293,0.0019298291],"category_scores_gemma":[0.0025043862,0.00050840963,0.00093128544,0.0027831725,0.00032210315,0.0014336994,0.0004088384,0.00095316296,0.0018912058],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043952194,0.000053703032,0.00059470517,0.00307869,0.00012494704,0.00007080267,0.00003485583,0.008783174,0.002526404,0.0031574466,0.014980631,0.96655065],"study_design_scores_gemma":[0.00004952531,0.00048468597,0.007844533,0.0043841004,0.00069893623,0.0022900589,0.00016963528,0.22998327,0.020396236,0.020854913,0.712599,0.00024516703],"about_ca_topic_score_codex":0.0018581429,"about_ca_topic_score_gemma":0.0014284492,"teacher_disagreement_score":0.002292583,"about_ca_system_score_codex":0.0004070373,"about_ca_system_score_gemma":0.00080843095,"threshold_uncertainty_score":0.0064558983},"labels":[],"label_agreement":null},{"id":"W4205246494","doi":"10.32920/ryerson.14668665.v1","title":"Structural Health Monitoring of the Rebecca Street (William Anderson) Bridge","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Structural health monitoring; Bridge (graph theory); Structural engineering; Curvature; Void (composites); Engineering; Computer science; Forensic engineering; Civil engineering; Materials science; Composite material; Mathematics","score_opus":0.04556330346664344,"score_gpt":0.3086944303583205,"score_spread":0.26313112689167706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205246494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9836361,0.00012755478,0.0055284374,0.00014435143,0.000012778301,0.00007090703,0.0007473989,0.00020234605,0.009530158],"genre_scores_gemma":[0.98861545,0.000069942645,0.005467578,0.000041859166,0.000005222642,0.000030131458,0.00055647624,0.0000144865735,0.005198928],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998354,0.00001185949,0.000003508431,0.000043323114,0.00007907273,0.000026956663],"domain_scores_gemma":[0.99974984,0.00001243795,0.000024840376,0.000016078091,0.00017179592,0.00002516751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029448367,0.00030779178,0.00019394465,0.0010233724,0.00045555664,0.00034388225,0.0004412012,0.00048670452,0.0019719978],"category_scores_gemma":[0.00028457382,0.00010669184,0.000104207764,0.00041505616,0.0001696576,0.00020147234,0.0002790292,0.00022670419,0.00044057707],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005085787,0.00040836734,0.29659495,0.00016599374,0.0000783554,0.0011354133,0.0010588192,0.035094067,0.35566795,0.0012846823,0.010319789,0.297683],"study_design_scores_gemma":[0.000037110643,0.0005415727,0.8445938,0.000045376597,0.000049698567,0.00034913578,0.00090403866,0.10175319,0.04191459,0.00024337882,0.009506942,0.000061152205],"about_ca_topic_score_codex":0.24622425,"about_ca_topic_score_gemma":0.5150343,"teacher_disagreement_score":0.24622425,"about_ca_system_score_codex":0.001302828,"about_ca_system_score_gemma":0.0012906276,"threshold_uncertainty_score":0.48958212},"labels":[],"label_agreement":null},{"id":"W4205323640","doi":"10.22215/etd/2021-14653","title":"Ultrasonic Interrogation of Oil Sands Tailings during Sedimentation","year":2021,"lang":"en","type":"dissertation","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Tailings; Oil sands; Consolidation (business); Land reclamation; Attenuation; Geotechnical engineering; Ultrasonic sensor; Tailings dam; Environmental science; Geology; Petroleum engineering; Materials science; Acoustics; Asphalt; Geography; Composite material","score_opus":0.006623712819457282,"score_gpt":0.260510749448762,"score_spread":0.25388703662930473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205323640","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99388784,0.00019469026,0.0047767567,0.000010896027,0.000007963687,0.000017105063,0.000051604224,0.00006040209,0.0009928669],"genre_scores_gemma":[0.9950517,0.0001376739,0.0032272814,0.0000114302375,0.0000038091869,0.000010283128,0.000053284435,0.0000075844728,0.0014970306],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999879,0.000014034029,0.0000056992376,0.000022577926,0.00005222446,0.00002643847],"domain_scores_gemma":[0.9997993,0.00006714664,0.0000363808,0.0000143951775,0.00006719763,0.000015606442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017449641,0.00014935712,0.00016437923,0.00040926342,0.00016507268,0.00023473508,0.00019948931,0.00020706373,0.0005312936],"category_scores_gemma":[0.0005077159,0.000114280396,0.00007777945,0.00029370308,0.0002692316,0.00016317629,0.0002654704,0.00018293035,0.00016702297],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001913538,0.00001806466,0.012932295,0.000056542554,0.0000033991143,0.00014959878,0.00034467998,0.00040356515,0.9586813,0.000080817474,0.00006746573,0.027070891],"study_design_scores_gemma":[0.0000071027566,0.0004836283,0.057257656,0.000014285838,0.000019683552,0.00021638667,0.0005698695,0.00548651,0.9347041,0.0000618095,0.0011669208,0.000011971673],"about_ca_topic_score_codex":0.0019044192,"about_ca_topic_score_gemma":0.0030368157,"teacher_disagreement_score":0.0019044192,"about_ca_system_score_codex":0.00018238346,"about_ca_system_score_gemma":0.00017876613,"threshold_uncertainty_score":0.003786683},"labels":[],"label_agreement":null},{"id":"W4205707766","doi":"10.1109/pesgm46819.2021.9638246","title":"Determining Lightning-Critical Locations along Transmission Lines using LiDAR Data - a BC Hydro Approach","year":2021,"lang":"en","type":"article","venue":"2021 IEEE Power &amp; Energy Society General Meeting (PESGM)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Powertech Labs (Canada); BC Hydro (Canada)","funders":"","keywords":"Lightning (connector); Electric power transmission; Transmission line; Terrain; Shielded cable; Span (engineering); Lightning detection; Line (geometry); Lidar; Electromagnetic shielding; Computer science; Transmission (telecommunications); Remote sensing; Power (physics); Electrical engineering; Meteorology; Engineering; Geology; Telecommunications; Geography; Civil engineering; Thunderstorm; Physics; Cartography","score_opus":0.056071606211095276,"score_gpt":0.3134168092549137,"score_spread":0.25734520304381847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205707766","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5149913,0.00021193952,0.46392053,0.00016962705,0.0000244013,0.00041584225,0.001210712,0.0024919715,0.016563715],"genre_scores_gemma":[0.8582165,0.00012052974,0.13928626,0.000020250864,0.000006668111,0.00009091461,0.00048779545,0.00006641174,0.001704619],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9997849,0.000027675358,0.000010865645,0.000038054597,0.000108881286,0.000029629973],"domain_scores_gemma":[0.99933976,0.00011901362,0.00011902315,0.00005191798,0.00032993764,0.000040309333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024930478,0.00059578253,0.0002868248,0.00224611,0.0005017223,0.0006759591,0.00063987315,0.0004768453,0.0017422521],"category_scores_gemma":[0.0013774663,0.00034071848,0.00019520713,0.00096718076,0.0002330172,0.00058400497,0.0006770671,0.00029116927,0.00055363285],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002114225,0.00026794296,0.07310427,0.00047332214,0.000054918786,0.001303679,0.0005850386,0.44304678,0.12023887,0.003777178,0.0028447567,0.35409182],"study_design_scores_gemma":[0.00003846081,0.00014738644,0.024912616,0.000050928495,0.000031361596,0.00034142166,0.0005112597,0.927007,0.041137703,0.0018931563,0.0038750586,0.00005356464],"about_ca_topic_score_codex":0.011454421,"about_ca_topic_score_gemma":0.026655532,"teacher_disagreement_score":0.9885456,"about_ca_system_score_codex":0.0007762061,"about_ca_system_score_gemma":0.0013809581,"threshold_uncertainty_score":0.02277553},"labels":[],"label_agreement":null},{"id":"W4205793914","doi":"10.2528/pierb21072803","title":"A WELL-POSED AND EFFECTIVE HIGH-ORDER IMPEDANCE BOUNDARY CONDITION FOR THE TIME-HARMONIC SCATTERING PROBLEM FROM A MULTILAYER COATED 3-D OBJECT","year":2021,"lang":"en","type":"article","venue":"Progress In Electromagnetics Research B","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Scattering; Object (grammar); Harmonic; Boundary value problem; Order (exchange); Boundary (topology); Electrical impedance; Mathematical analysis; Computer science; Physics; Acoustics; Mathematics; Optics; Artificial intelligence; Quantum mechanics; Business","score_opus":0.015122220062286201,"score_gpt":0.3319485138933167,"score_spread":0.3168262938310305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205793914","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020898758,0.00021952443,0.968188,0.00061127887,0.00017302993,0.000041751864,0.00013530235,0.00010451508,0.009627876],"genre_scores_gemma":[0.5528543,0.0010015971,0.41332418,0.0004969376,0.00042523365,0.00036532618,0.00080129685,0.00040362365,0.030327486],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994863,0.00013519912,0.000032678865,0.00008181893,0.00022112989,0.000042893826],"domain_scores_gemma":[0.998955,0.0005795164,0.000097220065,0.00007283446,0.00023047229,0.00006496667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010103711,0.00095368526,0.00072070723,0.00068375707,0.00040146877,0.0015774432,0.0008400901,0.0027655594,0.0031899333],"category_scores_gemma":[0.0030196558,0.0004587738,0.0005958831,0.00032835442,0.0012740077,0.0019658715,0.0015329528,0.0017119821,0.0008381471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002476617,0.00016898655,0.00095621374,0.0008118353,0.000050129904,0.0012438387,0.0006563177,0.36430934,0.19254585,0.39912507,0.0060168854,0.033867892],"study_design_scores_gemma":[0.00003150715,0.000043795684,0.0003301491,0.00003575945,0.000010678911,0.0002970309,0.00011252045,0.955029,0.014545657,0.0263877,0.0031379166,0.000038407852],"about_ca_topic_score_codex":0.0012739599,"about_ca_topic_score_gemma":0.0011373048,"teacher_disagreement_score":0.0031899333,"about_ca_system_score_codex":0.00058596424,"about_ca_system_score_gemma":0.0009451412,"threshold_uncertainty_score":0.010671377},"labels":[],"label_agreement":null},{"id":"W4205809590","doi":"10.1002/jqs.3406","title":"Ground truth validated 3D electrical resistivity imaging of the archaeological deposits at Arma Veirana cave (northern Italy)","year":2022,"lang":"en","type":"article","venue":"Journal of Quaternary Science","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"University of Colorado Denver; Washington University in St. Louis; Wenner-Gren Foundation","keywords":"Cave; Geology; Archaeology; Electrical resistivity tomography; Electrical resistivity and conductivity; Geomorphology; Geography","score_opus":0.01866242475375543,"score_gpt":0.2585904990152137,"score_spread":0.23992807426145826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205809590","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98997587,0.0002070329,0.0041100015,0.00007446542,0.000018353583,0.000024716393,0.0020513711,0.00035947756,0.0031786456],"genre_scores_gemma":[0.9937371,0.00007500533,0.0046161697,0.000017173452,0.000010311172,0.000022414662,0.0009372319,0.000030155814,0.00055437617],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997805,0.000028047592,0.000010192984,0.00006598673,0.00006582851,0.00004947761],"domain_scores_gemma":[0.99969506,0.000052019568,0.000057082816,0.00007409163,0.00009835542,0.000023400526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030787717,0.000334681,0.00020866194,0.0015073575,0.00023770801,0.00068217446,0.0004006535,0.00051008817,0.0010637438],"category_scores_gemma":[0.0007132809,0.00021640307,0.00020397411,0.0009929427,0.0004157309,0.0001970238,0.00047857204,0.00018136154,0.00048129744],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008502046,0.00029347697,0.55807024,0.0006335063,0.0002917101,0.007043985,0.0043695453,0.039413318,0.16192274,0.0007723621,0.00746805,0.21887079],"study_design_scores_gemma":[0.000025118508,0.00004945012,0.96604955,0.00009023982,0.00005416607,0.0014260539,0.00066494703,0.021739379,0.0047846385,0.00016892943,0.004897909,0.00004961995],"about_ca_topic_score_codex":0.012312176,"about_ca_topic_score_gemma":0.03749717,"teacher_disagreement_score":0.012312176,"about_ca_system_score_codex":0.00027096414,"about_ca_system_score_gemma":0.00035701724,"threshold_uncertainty_score":0.024480999},"labels":[],"label_agreement":null},{"id":"W4205880752","doi":"10.1139/cgj-2021-0020","title":"Field performance of four vibrating-wire piezometer installation methods","year":2022,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Ministère des Transports; Université Laval; Center for Northern Studies","funders":"","keywords":"Piezometer; Grout; Geotechnical engineering; Geology; Bentonite; Hydrogeology; Pore water pressure; Aquifer; Groundwater","score_opus":0.019334077491785187,"score_gpt":0.26326268123319235,"score_spread":0.24392860374140718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205880752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98808855,0.00010378974,0.009762839,0.000037139103,0.000044971115,0.00019747288,0.00042191052,0.00037783134,0.0009654534],"genre_scores_gemma":[0.95781446,0.00016987082,0.03904387,0.000048142727,0.00003111579,0.00044868162,0.00047645788,0.0000651109,0.0019022153],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998676,0.00013855459,0.000115574745,0.00047228008,0.00045415483,0.00014331641],"domain_scores_gemma":[0.9975,0.00071139634,0.0004110896,0.0002920964,0.00086629455,0.0002191742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013431029,0.0010368056,0.00073282945,0.0012484946,0.0005016608,0.0006899678,0.0015131559,0.0011702339,0.0014424743],"category_scores_gemma":[0.0025860302,0.0006367362,0.00045589506,0.0010228095,0.0005764796,0.0009618372,0.0009257782,0.0007486609,0.0004806636],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030709875,0.001559577,0.07074963,0.00075675,0.00008762039,0.0002780815,0.0011347663,0.005833157,0.7599029,0.00019748083,0.00082021113,0.15560892],"study_design_scores_gemma":[0.00038904368,0.018483063,0.35355031,0.000119460696,0.00033224758,0.00045892334,0.001343983,0.034141973,0.5841461,0.00029430492,0.0064778808,0.0002627216],"about_ca_topic_score_codex":0.002482435,"about_ca_topic_score_gemma":0.006243158,"teacher_disagreement_score":0.002482435,"about_ca_system_score_codex":0.00050746265,"about_ca_system_score_gemma":0.00050031533,"threshold_uncertainty_score":0.0071030855},"labels":[],"label_agreement":null},{"id":"W4206149406","doi":"10.32920/ryerson.14668665","title":"Structural Health Monitoring of the Rebecca Street (William Anderson) Bridge","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Structural health monitoring; Bridge (graph theory); Structural engineering; Curvature; Void (composites); Engineering; Forensic engineering; Computer science; Civil engineering; Materials science; Composite material; Mathematics","score_opus":0.04556330346664344,"score_gpt":0.3086944303583205,"score_spread":0.26313112689167706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206149406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9836361,0.00012755478,0.0055284374,0.00014435143,0.000012778301,0.00007090703,0.0007473989,0.00020234605,0.009530158],"genre_scores_gemma":[0.98861545,0.000069942645,0.005467578,0.000041859166,0.000005222642,0.000030131458,0.00055647624,0.0000144865735,0.005198928],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998354,0.00001185949,0.000003508431,0.000043323114,0.00007907273,0.000026956663],"domain_scores_gemma":[0.99974984,0.00001243795,0.000024840376,0.000016078091,0.00017179592,0.00002516751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029448367,0.00030779178,0.00019394465,0.0010233724,0.00045555664,0.00034388225,0.0004412012,0.00048670452,0.0019719978],"category_scores_gemma":[0.00028457382,0.00010669184,0.000104207764,0.00041505616,0.0001696576,0.00020147234,0.0002790292,0.00022670419,0.00044057707],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005085787,0.00040836734,0.29659495,0.00016599374,0.0000783554,0.0011354133,0.0010588192,0.035094067,0.35566795,0.0012846823,0.010319789,0.297683],"study_design_scores_gemma":[0.000037110643,0.0005415727,0.8445938,0.000045376597,0.000049698567,0.00034913578,0.00090403866,0.10175319,0.04191459,0.00024337882,0.009506942,0.000061152205],"about_ca_topic_score_codex":0.24622425,"about_ca_topic_score_gemma":0.5150343,"teacher_disagreement_score":0.24622425,"about_ca_system_score_codex":0.001302828,"about_ca_system_score_gemma":0.0012906276,"threshold_uncertainty_score":0.48958212},"labels":[],"label_agreement":null},{"id":"W4206456390","doi":"10.1109/tap.2021.3137179","title":"On the Formulation and Implementation of the Love’s Condition Constraint for the Source Reconstruction Method","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Antennas and Propagation","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Computer science; Constraint (computer-aided design); Mathematical optimization; Calculus (dental); Mathematics; Geometry","score_opus":0.01694224796305687,"score_gpt":0.28495379720405417,"score_spread":0.2680115492409973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206456390","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013799126,0.00024658258,0.9937921,0.00026506904,0.000057410605,0.000030110266,0.00003512547,0.000046492434,0.0041473033],"genre_scores_gemma":[0.0636794,0.001853595,0.92541945,0.0003942232,0.00028097,0.00021662952,0.00019318468,0.00023901714,0.0077235084],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988171,0.0005200817,0.00006789257,0.00014124962,0.00040077843,0.00005295043],"domain_scores_gemma":[0.99793786,0.001222461,0.00014290272,0.00026901028,0.00037393355,0.00005382166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002673038,0.00064489007,0.0006661094,0.0007479756,0.0005269857,0.0021650686,0.0011563115,0.0017365484,0.0051900772],"category_scores_gemma":[0.006554207,0.000511516,0.00074856455,0.0006958817,0.0019120122,0.0023501979,0.0014876131,0.0027269283,0.001846039],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009830382,0.000062344574,0.0004205322,0.00046874472,0.00002284696,0.00033889516,0.00039067853,0.09854684,0.028903006,0.75164783,0.0050257323,0.114074185],"study_design_scores_gemma":[0.00002272975,0.00013587014,0.0005057932,0.00018486992,0.0000131553725,0.000546358,0.00011417019,0.85289156,0.014958144,0.0988313,0.03171238,0.00008376802],"about_ca_topic_score_codex":0.0010708041,"about_ca_topic_score_gemma":0.0008115975,"teacher_disagreement_score":0.0051900772,"about_ca_system_score_codex":0.0005321966,"about_ca_system_score_gemma":0.001042527,"threshold_uncertainty_score":0.017362535},"labels":[],"label_agreement":null},{"id":"W4206574787","doi":"10.4095/329085","title":"Public presentations of October 13, 2021: Groundwater Geoscience Program, current status of research projects for the 2019-2024 program cycle","year":2021,"lang":"en","type":"report","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Current (fluid); Groundwater; Environmental science; Earth science; Environmental planning; Political science; Geology; Oceanography","score_opus":0.24815448617973465,"score_gpt":0.47765829992973624,"score_spread":0.2295038137500016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206574787","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008631855,0.001705062,0.0039721895,0.035454523,0.021051519,0.0026306026,0.46185648,0.0060163597,0.45868137],"genre_scores_gemma":[0.006213451,0.0007583499,0.001477998,0.002320325,0.0007204777,0.00060490286,0.08409124,0.0004671918,0.90334606],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99910814,0.000055509438,0.00001639184,0.000061874016,0.0005707017,0.00018729756],"domain_scores_gemma":[0.99756765,0.00019240209,0.00007329384,0.000056231722,0.0014513406,0.000659222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015954298,0.000804688,0.0004949631,0.0014732246,0.0011459045,0.0021882798,0.0012117091,0.0022374527,0.2797283],"category_scores_gemma":[0.0027454174,0.0002851553,0.00036346237,0.001349246,0.00022582334,0.00095718994,0.0016272926,0.0016883606,0.100529835],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008008538,0.00004418586,0.0002087898,0.00003261061,0.0000012648534,0.0000102354925,0.000008957164,0.000048187587,0.0001238611,0.00021051489,0.9919546,0.0072766156],"study_design_scores_gemma":[0.00008504849,0.000056194265,0.006177963,0.000058515492,0.000005970031,0.000009606154,0.00011494205,0.00039358682,0.00071755867,0.0005301295,0.9918383,0.000012203766],"about_ca_topic_score_codex":0.042250328,"about_ca_topic_score_gemma":0.09796834,"teacher_disagreement_score":0.2797283,"about_ca_system_score_codex":0.0018608273,"about_ca_system_score_gemma":0.009918575,"threshold_uncertainty_score":0.93578434},"labels":[],"label_agreement":null},{"id":"W4206731315","doi":"10.1016/j.dib.2022.107854","title":"Data for evaluating mine roof stability via acoustic impact","year":2022,"lang":"en","type":"article","venue":"Data in Brief","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Roof; Potash; Mining engineering; Underground mining (soft rock); Environmental science; Stability (learning theory); Coal mining; Geology; Computer science; Civil engineering; Engineering; Geography; Archaeology","score_opus":0.16376754772342747,"score_gpt":0.4101732819361681,"score_spread":0.24640573421274062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206731315","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3083189,0.0010387476,0.015235642,0.00052648346,0.00019099991,0.0004447679,0.659415,0.0021380165,0.012691472],"genre_scores_gemma":[0.28757098,0.0006296468,0.019934848,0.00015176601,0.00008063246,0.00074221735,0.68684334,0.00013076112,0.0039157527],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99877673,0.00011664904,0.00010676444,0.00029317848,0.0005312479,0.00017537268],"domain_scores_gemma":[0.99800736,0.0003157259,0.00017899863,0.00035806195,0.00096688117,0.00017287883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006883902,0.0009243737,0.0005866251,0.0026332615,0.0005298246,0.000715257,0.00081026374,0.0010140636,0.0029735705],"category_scores_gemma":[0.0029998159,0.0002154663,0.00047190097,0.0025601888,0.00043916484,0.00056216394,0.0010840473,0.00066502567,0.003518144],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011294448,0.000477652,0.4880133,0.0021512571,0.00048426696,0.0012126901,0.0013721636,0.02708732,0.059630677,0.002171224,0.18758112,0.22868894],"study_design_scores_gemma":[0.00009793085,0.00022279448,0.82837635,0.00031299045,0.00012093884,0.00059513823,0.0028550103,0.021439372,0.012704052,0.0016411901,0.13150619,0.00012801736],"about_ca_topic_score_codex":0.072793,"about_ca_topic_score_gemma":0.1471628,"teacher_disagreement_score":0.072793,"about_ca_system_score_codex":0.00097087654,"about_ca_system_score_gemma":0.0015035234,"threshold_uncertainty_score":0.14473861},"labels":[],"label_agreement":null},{"id":"W4210556225","doi":"10.1007/s11440-022-01451-6","title":"GeoNDT: a fast general-purpose computational tool for geotechnical non-destructive testing applications","year":2022,"lang":"en","type":"article","venue":"Acta Geotechnica","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; University of Manitoba","funders":"","keywords":"Nondestructive testing; Solid mechanics; Characterization (materials science); Geotechnical engineering; Geology; SIGNAL (programming language); Engineering; Geophysics; Computer science; Materials science; Physics","score_opus":0.015002833385700638,"score_gpt":0.2578147030443033,"score_spread":0.24281186965860269,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210556225","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009141989,0.00027880372,0.90589905,0.00025093378,0.00029086348,0.0001256601,0.002734271,0.0732966,0.007981887],"genre_scores_gemma":[0.15322733,0.0005403503,0.7938187,0.00067513133,0.00012053166,0.0009356172,0.009401955,0.021568175,0.019712245],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995105,0.0000789138,0.00003206421,0.000050737224,0.00027096382,0.00005680945],"domain_scores_gemma":[0.99901986,0.0004338054,0.000052867417,0.00013712778,0.00028015074,0.000076190234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086390495,0.0016027166,0.0010059736,0.0008421326,0.0005369718,0.0012610256,0.0034969389,0.0012309666,0.029261252],"category_scores_gemma":[0.0027901253,0.0007556659,0.0009870529,0.0008121549,0.000620876,0.001431233,0.0017129538,0.0017492257,0.0055124755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010030769,0.00026085213,0.0032679443,0.001295828,0.00035687527,0.00089942035,0.000504698,0.28008494,0.03315122,0.03862024,0.21697578,0.42357916],"study_design_scores_gemma":[0.00018964075,0.000045340745,0.00039675133,0.000057563728,0.000034253724,0.00016072392,0.000029507333,0.91994405,0.01601251,0.008450265,0.054619648,0.00005978384],"about_ca_topic_score_codex":0.0042111548,"about_ca_topic_score_gemma":0.0067158253,"teacher_disagreement_score":0.029261252,"about_ca_system_score_codex":0.0005115238,"about_ca_system_score_gemma":0.0014441796,"threshold_uncertainty_score":0.09788865},"labels":[],"label_agreement":null},{"id":"W4211062559","doi":"10.1139/cgj-2021-0570","title":"Physical observations of the transient evolution of the porosity distribution during internal erosion using spatial time domain reflectometry","year":2022,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Internal erosion; Porosity; Geotechnical engineering; Reflectometry; Geology; Transient (computer programming); Erosion; Time domain; Domain (mathematical analysis); Transient flow; Soil science; Geomorphology; Mathematics; Computer science","score_opus":0.01328777832932435,"score_gpt":0.23166359220131189,"score_spread":0.21837581387198754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211062559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929595,0.000031086314,0.0064249677,0.000008672345,0.0000019765118,0.00000927263,0.00016881563,0.00007214067,0.0003235477],"genre_scores_gemma":[0.99698037,0.00004273963,0.0026488374,0.0000058981386,0.000001242551,0.000008670257,0.0000970588,0.000012544893,0.00020263971],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99988055,0.000009688599,0.0000056000627,0.000028139355,0.000047337067,0.00002869865],"domain_scores_gemma":[0.9997284,0.00010604282,0.00004992045,0.00002467949,0.0000685542,0.000022444161],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003017805,0.0001781296,0.0002910663,0.00036293955,0.00016243674,0.0002692344,0.00022749777,0.00021121187,0.00044607444],"category_scores_gemma":[0.0004693913,0.00012595022,0.00016747667,0.00046563277,0.00031417128,0.0002710918,0.00024052132,0.0003682772,0.00009249308],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018749599,0.000047345144,0.010259436,0.000037828137,0.000009333878,0.000110814486,0.00016628706,0.0013944339,0.98161423,0.000111878915,0.000050614526,0.006010343],"study_design_scores_gemma":[0.000024939529,0.0006930347,0.25071466,0.00000928969,0.000035385725,0.000379258,0.0002537387,0.029482815,0.71730125,0.00015736178,0.0009075481,0.00004070115],"about_ca_topic_score_codex":0.0017475238,"about_ca_topic_score_gemma":0.0016214001,"teacher_disagreement_score":0.0017475238,"about_ca_system_score_codex":0.00018182454,"about_ca_system_score_gemma":0.00017138889,"threshold_uncertainty_score":0.003474772},"labels":[],"label_agreement":null},{"id":"W4212775239","doi":"10.1029/2021ea002140","title":"Near‐Surface Geophysics Perspectives on Integrated, Coordinated, Open, Networked (ICON) Science","year":2022,"lang":"en","type":"article","venue":"Earth and Space Science","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Interoperability; Icon; Computer science; Data sharing; World Wide Web","score_opus":0.011808995601210962,"score_gpt":0.25534028602452585,"score_spread":0.2435312904233149,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212775239","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053196106,0.0023930897,0.53911996,0.06423625,0.0013887075,0.00019006776,0.00016439523,0.0006633966,0.33864802],"genre_scores_gemma":[0.83354986,0.001452037,0.14302754,0.003768811,0.00041174024,0.000269817,0.0001511357,0.0001796322,0.017189432],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9894912,0.005276712,0.00031744922,0.0011276265,0.0027200314,0.0010668688],"domain_scores_gemma":[0.9840693,0.0062051294,0.0009846103,0.0050402693,0.0023368679,0.0013639514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020282876,0.00054410717,0.00050155085,0.0020695974,0.0029849045,0.013023978,0.0019052568,0.0033954827,0.00504277],"category_scores_gemma":[0.01534447,0.0002664776,0.0005885889,0.001684662,0.027106438,0.013256101,0.012214136,0.004215444,0.000467312],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007106591,0.000018618815,0.0003753467,0.000022685314,0.000003947112,0.000032619657,0.00046048427,0.0019170347,0.00019741707,0.9880778,0.0014391638,0.0074477224],"study_design_scores_gemma":[0.000007667448,0.000025227393,0.0005649106,0.00010217153,0.000006186426,0.00006065876,0.001247909,0.004904453,0.00055811513,0.92672026,0.06578784,0.000014644435],"about_ca_topic_score_codex":0.006651949,"about_ca_topic_score_gemma":0.00650438,"teacher_disagreement_score":0.020282876,"about_ca_system_score_codex":0.00510643,"about_ca_system_score_gemma":0.009293425,"threshold_uncertainty_score":0.10726738},"labels":[],"label_agreement":null},{"id":"W4214540430","doi":"10.3390/rs14051131","title":"Deterioration Mapping of RC Bridge Elements Based on Automated Analysis of GPR Images","year":2022,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Concordia University","keywords":"Ground-penetrating radar; Computer science; Artificial intelligence; Pattern recognition (psychology); Classifier (UML); False positive paradox; Geology; Radar","score_opus":0.020592390244980215,"score_gpt":0.2760566215228195,"score_spread":0.2554642312778393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214540430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62826407,0.00014014995,0.3666368,0.00005372935,0.000015793701,0.000105566585,0.00019683034,0.0018872597,0.0026997237],"genre_scores_gemma":[0.949055,0.00010963672,0.0495447,0.000011468695,0.00000803104,0.000033466597,0.00021882607,0.000038892747,0.0009799616],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997681,0.000036439906,0.00001183105,0.00006351724,0.00009377603,0.000026421902],"domain_scores_gemma":[0.9997168,0.000066050336,0.00006670214,0.000041568088,0.000096506315,0.000012219585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003234189,0.00066179206,0.00042297857,0.0013352826,0.00013237329,0.0005138431,0.00044037073,0.0004722479,0.00064411643],"category_scores_gemma":[0.0006728073,0.00022398797,0.00040888926,0.0005118823,0.00023693667,0.00048771902,0.0003887902,0.00022005616,0.00043380907],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049429364,0.00019852811,0.02532783,0.00027074185,0.000068808484,0.0006984292,0.0005953825,0.36197138,0.23517448,0.0011626973,0.001092341,0.3729451],"study_design_scores_gemma":[0.000007548066,0.00009921325,0.02433639,0.000014919581,0.000020728015,0.00016543327,0.000080361046,0.95480835,0.01968432,0.0002987698,0.00045880428,0.00002511901],"about_ca_topic_score_codex":0.0021242637,"about_ca_topic_score_gemma":0.0022033008,"teacher_disagreement_score":0.0021242637,"about_ca_system_score_codex":0.00028115913,"about_ca_system_score_gemma":0.00023490614,"threshold_uncertainty_score":0.004223764},"labels":[],"label_agreement":null},{"id":"W4214734771","doi":"10.1016/j.tust.2022.104440","title":"Evaluation and comparison of different detection technologies on simulated voids near buried pipes","year":2022,"lang":"en","type":"article","venue":"Tunnelling and Underground Space Technology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Ground-penetrating radar; Void (composites); Nondestructive testing; Thermography; Geotechnical engineering; Radar; Structural engineering; Geology; Materials science; Engineering; Composite material; Infrared; Optics","score_opus":0.022871895794231257,"score_gpt":0.2872736569006125,"score_spread":0.26440176110638125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214734771","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89210016,0.0003285101,0.10580307,0.000041424115,0.000047935824,0.00005708563,0.00013741267,0.0005588817,0.0009254497],"genre_scores_gemma":[0.9799903,0.00012687276,0.019301614,0.000010922132,0.000004644922,0.000017344568,0.0000745068,0.000022676833,0.00045113993],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994635,0.00013348658,0.000026002683,0.00010539998,0.00019558222,0.00007604901],"domain_scores_gemma":[0.9972264,0.0014745535,0.00018873022,0.00012803418,0.0009027245,0.000079377314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010111117,0.0006049082,0.00048535308,0.0009936894,0.0003202375,0.00058897043,0.00077747606,0.0010483784,0.0007913611],"category_scores_gemma":[0.0031062341,0.00027008308,0.00035802086,0.00057808455,0.0004105322,0.0008673531,0.0005270495,0.00023501433,0.00015730032],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004061516,0.00077123026,0.043160193,0.0009271928,0.0001773779,0.00058030436,0.0006673783,0.4125732,0.33135185,0.0017305434,0.00092325226,0.203076],"study_design_scores_gemma":[0.000050451414,0.0012811687,0.011542483,0.000033018034,0.00011592294,0.00019482472,0.00032156182,0.82133836,0.16389097,0.00036817126,0.00081463443,0.000048468984],"about_ca_topic_score_codex":0.0017228075,"about_ca_topic_score_gemma":0.0019147696,"teacher_disagreement_score":0.0017228075,"about_ca_system_score_codex":0.0004885973,"about_ca_system_score_gemma":0.00035836062,"threshold_uncertainty_score":0.005347371},"labels":[],"label_agreement":null},{"id":"W4220732408","doi":"10.1016/j.forsciint.2022.111289","title":"Geophysical imaging of buried human remains in simulated mass and single graves: Experiment design and results from pre-burial to six months after burial","year":2022,"lang":"en","type":"article","venue":"Forensic Science International","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of Toledo","keywords":"Ground-penetrating radar; Geology; Graves' disease; Electrical resistivity tomography; Rock mass classification; Electrical resistivity and conductivity; Geophysics; Medicine; Geotechnical engineering; Radar; Thyroid; Physics; Internal medicine","score_opus":0.018458628350530085,"score_gpt":0.2868326097066046,"score_spread":0.26837398135607454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220732408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99906605,0.000014473803,0.00066693436,0.0000066943835,0.000003938744,0.00001443369,0.000082995946,0.000008280102,0.00013629744],"genre_scores_gemma":[0.997021,0.000048419064,0.0020181404,0.00001277325,0.0000041598155,0.00004167644,0.00022311865,0.000007826957,0.00062292884],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998871,0.00001741443,0.000006698403,0.000027310736,0.000028525432,0.000033004293],"domain_scores_gemma":[0.99965346,0.00011822414,0.000043689364,0.00004739912,0.00008558107,0.00005156926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028961556,0.00027395977,0.00025831556,0.00015849152,0.00027497823,0.000284249,0.00033259095,0.00052142004,0.0010568277],"category_scores_gemma":[0.0007182214,0.00018825619,0.00023928477,0.00017423638,0.00050688133,0.00023014109,0.00042433955,0.00036221038,0.00011680724],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0168455,0.0036534537,0.03886213,0.00014410088,0.000093344606,0.00028902435,0.0010399936,0.0070489487,0.91285145,0.00023023745,0.00027106667,0.018670714],"study_design_scores_gemma":[0.0004806775,0.046496235,0.49045902,0.000036129906,0.0004178884,0.0010622366,0.0027738193,0.01832921,0.437111,0.0006936281,0.0020237993,0.00011644872],"about_ca_topic_score_codex":0.0034005095,"about_ca_topic_score_gemma":0.0060461718,"teacher_disagreement_score":0.0034005095,"about_ca_system_score_codex":0.00021074456,"about_ca_system_score_gemma":0.00036494443,"threshold_uncertainty_score":0.0067614317},"labels":[],"label_agreement":null},{"id":"W4220805226","doi":"10.1190/geo2021-0354.1","title":"Ground-penetrating radar attenuation compensation by Gabor deconvolution: Seismogenic fault imaging at Castelluccio di Norcia (Central Italy)","year":2022,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Geology; Ground-penetrating radar; Deconvolution; Seismology; Fault (geology); Attenuation; Reflection (computer programming); Radar; Geophysical imaging; Computer science; Algorithm","score_opus":0.008934621999053583,"score_gpt":0.2166415855280043,"score_spread":0.2077069635289507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220805226","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995513,0.00008848678,0.002897916,0.00007499448,0.000017965884,0.000014213187,0.00024576872,0.00016981449,0.0009778341],"genre_scores_gemma":[0.9965899,0.000027481672,0.0027670087,0.000016346221,0.000011693641,0.0000044968224,0.00030911458,0.000016093394,0.0002578629],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999778,0.00003676553,0.000008237318,0.000071989045,0.000040213326,0.000064908294],"domain_scores_gemma":[0.9996426,0.00008871964,0.00007124445,0.00006241777,0.00009487152,0.000040155388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048463422,0.00047770242,0.00033651188,0.0009741571,0.00019925549,0.0005878295,0.0004854815,0.00048285205,0.00059302273],"category_scores_gemma":[0.00091304426,0.00013077416,0.00020398361,0.0007247335,0.00041462967,0.0002639936,0.00035625804,0.00023473844,0.00024004499],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0039863223,0.0014528926,0.31925395,0.00060736964,0.0002870913,0.0042397818,0.001321309,0.16569299,0.25226268,0.0011695906,0.0055574095,0.24416864],"study_design_scores_gemma":[0.00023761827,0.0005933649,0.7097353,0.000068825844,0.00014065238,0.00067496276,0.0006104766,0.25224265,0.032334577,0.00051253004,0.0027852573,0.00006381969],"about_ca_topic_score_codex":0.010982964,"about_ca_topic_score_gemma":0.013952836,"teacher_disagreement_score":0.010982964,"about_ca_system_score_codex":0.00037494267,"about_ca_system_score_gemma":0.00043945882,"threshold_uncertainty_score":0.021838069},"labels":[],"label_agreement":null},{"id":"W4220822694","doi":"10.1109/tmtt.2022.3158322","title":"Design and Development of a High-Power Pulse Transmitter for Underground Environmental Perception","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Transmitter; Pulse (music); Bandwidth-limited pulse; Electrical engineering; Electronic circuit; Differentiator; Ultrashort pulse; Balun; Pulse-amplitude modulation; Transistor; Computer science; Electronic engineering; Optics; Engineering; Physics; Antenna (radio); Filter (signal processing); Laser; Detector","score_opus":0.012036350145944804,"score_gpt":0.22629853328653765,"score_spread":0.21426218314059284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220822694","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04192563,0.0003912995,0.94958377,0.00016334422,0.00013103866,0.00016055544,0.000076247794,0.0010142947,0.006553795],"genre_scores_gemma":[0.3932052,0.00052097876,0.59098434,0.00016800482,0.00010267588,0.00021839983,0.00015011846,0.00016907221,0.0144812185],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99985075,0.000011848243,0.0000076006136,0.000035102337,0.00007771576,0.000016912285],"domain_scores_gemma":[0.99974984,0.00003919828,0.000043303342,0.000023834436,0.00011890484,0.000024970988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018673485,0.00037123024,0.000264473,0.00028508547,0.0001874123,0.00045697298,0.00093307946,0.0004950556,0.0025323443],"category_scores_gemma":[0.00024152693,0.00026636434,0.00025979578,0.0002731708,0.00017178485,0.00058940594,0.0003554173,0.00042220816,0.0013701989],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082347884,0.000062693165,0.0006598693,0.00026916887,0.00003294784,0.00027480436,0.00014261178,0.0039580096,0.8939479,0.0053258124,0.0011082033,0.09413566],"study_design_scores_gemma":[0.00005803028,0.0009484258,0.0015578312,0.000042016414,0.00007547644,0.0012926876,0.00005055615,0.0922053,0.8667029,0.0008802468,0.03613965,0.000046768262],"about_ca_topic_score_codex":0.00019500623,"about_ca_topic_score_gemma":0.0002660902,"teacher_disagreement_score":0.0025323443,"about_ca_system_score_codex":0.0003478082,"about_ca_system_score_gemma":0.00051840104,"threshold_uncertainty_score":0.008471489},"labels":[],"label_agreement":null},{"id":"W4220853629","doi":"10.2478/raft-2022-0012","title":"Landmine Detection with Drones","year":2022,"lang":"en","type":"article","venue":"Revista Academiei Forţelor Terestre","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Drone; Explosive material; Aeronautics; Computer security; Treaty; Forensic engineering; Remote sensing; Computer science; Engineering; Environmental science; History; Political science; Law; Geography; Archaeology","score_opus":0.009911155405847786,"score_gpt":0.22598018869088812,"score_spread":0.21606903328504035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220853629","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6411163,0.0047272495,0.3190674,0.0005477441,0.0008301342,0.0002721024,0.0005981085,0.002381067,0.030459844],"genre_scores_gemma":[0.9379596,0.00059017155,0.054311104,0.00013038905,0.0000539928,0.00003241606,0.00012541928,0.00003130937,0.0067656236],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996338,0.000087557804,0.000014911374,0.00010346065,0.00013086337,0.000029381523],"domain_scores_gemma":[0.9996451,0.000097024276,0.000051825842,0.00006171074,0.00011839284,0.000025825155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021494059,0.00043969747,0.000292855,0.00095696875,0.00021585001,0.0005890277,0.0003934197,0.00054783764,0.0021888814],"category_scores_gemma":[0.00069714425,0.00021889061,0.00017996055,0.00043683816,0.0002508039,0.0005956159,0.0006062964,0.00026693533,0.000717831],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011137291,0.00015100153,0.026907396,0.0006596136,0.00016468526,0.0013870646,0.00073860603,0.016036984,0.5064536,0.00436206,0.0046172566,0.43740803],"study_design_scores_gemma":[0.00019047465,0.002349788,0.028535215,0.000259153,0.00022613515,0.0068742265,0.0012664839,0.35848168,0.5413205,0.0048715216,0.055430636,0.00019413642],"about_ca_topic_score_codex":0.0007566192,"about_ca_topic_score_gemma":0.0010417273,"teacher_disagreement_score":0.0021888814,"about_ca_system_score_codex":0.00019140849,"about_ca_system_score_gemma":0.00013768103,"threshold_uncertainty_score":0.00732255},"labels":[],"label_agreement":null},{"id":"W4220861858","doi":"10.5194/egusphere-egu22-11278","title":"Michigan International Copper Analogue (MICA) project &amp;#8211; assessment of long-term behaviour of copper in repository relevant environments","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Nuclear Waste Management Organization","funders":"","keywords":"Safety case; Radioactive waste; Copper; Environmental science; Nuclear decommissioning; Waste management; Engineering; Risk analysis (engineering); Business; Metallurgy; Materials science","score_opus":0.027127765616796494,"score_gpt":0.32933362880586253,"score_spread":0.30220586318906606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220861858","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7531834,0.0017777405,0.011433857,0.003428973,0.00037047162,0.00085604313,0.02961846,0.0013822247,0.1979488],"genre_scores_gemma":[0.78821194,0.0020338478,0.027480701,0.00063483627,0.00016867109,0.0008162116,0.019049935,0.00037327613,0.16123055],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992454,0.00010691768,0.000016234848,0.00011287719,0.00046630876,0.00005223414],"domain_scores_gemma":[0.9991013,0.000058945447,0.00014317836,0.00008877024,0.00048736503,0.00012055873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009215157,0.00041442676,0.00019274985,0.0017535181,0.0010071646,0.0012175716,0.0007067911,0.0007667036,0.008733892],"category_scores_gemma":[0.00095083646,0.0001858864,0.00021527984,0.0015344826,0.0005777734,0.0007495007,0.0009953319,0.00041895683,0.0019035065],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027815897,0.001062537,0.18385728,0.0007391293,0.00022398027,0.0023180733,0.001010747,0.009602879,0.18789676,0.012459826,0.18264423,0.41540304],"study_design_scores_gemma":[0.00018193283,0.0037058257,0.3476406,0.00022656767,0.0001325459,0.0006159171,0.0012340042,0.017964015,0.14731957,0.0028437409,0.47803393,0.00010149678],"about_ca_topic_score_codex":0.042453296,"about_ca_topic_score_gemma":0.087879285,"teacher_disagreement_score":0.042453296,"about_ca_system_score_codex":0.0020766172,"about_ca_system_score_gemma":0.0009866571,"threshold_uncertainty_score":0.084412396},"labels":[],"label_agreement":null},{"id":"W4220932069","doi":"10.1139/cgj-2021-0323","title":"Fusion of geotechnical and geophysical data for 2D subsurface site characterization using multi-source Bayesian compressive sampling","year":2022,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Geotechnical investigation; Geology; Geotechnical engineering; Parametric statistics; Geophysical survey; Sampling (signal processing); Ground-penetrating radar; Sensor fusion; Excavation; Geophysics; Engineering; Computer science","score_opus":0.05177012044029123,"score_gpt":0.2901295948279735,"score_spread":0.2383594743876823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220932069","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012025538,0.000048080296,0.9873024,0.000042826843,0.000011132654,0.000020601363,0.00005751583,0.00011292412,0.00037895108],"genre_scores_gemma":[0.552691,0.0003266147,0.4449943,0.000119057084,0.000065529035,0.00017344258,0.0007450505,0.00005823433,0.00082673365],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994134,0.0001382228,0.000040188927,0.00009649174,0.00026636152,0.000045435907],"domain_scores_gemma":[0.99913484,0.0003282635,0.00012712115,0.0001319283,0.00023797514,0.00003990523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007976788,0.0008075705,0.00058787543,0.001060707,0.00025102927,0.00060160935,0.00070094725,0.0006274466,0.000770466],"category_scores_gemma":[0.0028302101,0.0003826547,0.0005637801,0.0011906271,0.0004544721,0.0014279997,0.0012820148,0.00086265634,0.00031029942],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003168951,0.00017999558,0.006350538,0.0002747382,0.00009940201,0.00026364898,0.00028305358,0.50491756,0.058961153,0.013565502,0.001618312,0.4131692],"study_design_scores_gemma":[0.000008315154,0.000044725522,0.0010842091,0.000011018448,0.000009747655,0.00007648764,0.00003600496,0.9873311,0.0064127604,0.004239914,0.00072387455,0.000021839178],"about_ca_topic_score_codex":0.0019085339,"about_ca_topic_score_gemma":0.002781782,"teacher_disagreement_score":0.0019085339,"about_ca_system_score_codex":0.00029844375,"about_ca_system_score_gemma":0.0006041189,"threshold_uncertainty_score":0.0042185783},"labels":[],"label_agreement":null},{"id":"W4220971179","doi":"10.3389/feart.2022.734682","title":"An Assessment of Geophysical Survey Techniques for Characterising the Subsurface Around Glacier Margins, and Recommendations for Future Applications","year":2022,"lang":"en","type":"article","venue":"Frontiers in Earth Science","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Stockholms Universitet; European Commission; Leverhulme Trust","keywords":"Ground-penetrating radar; Geology; Geophysics; Bedrock; Seismic refraction; Passive seismic; Geophysical survey; Electrical resistivity tomography; Geophysical imaging; Radar; Remote sensing; Seismology; Geomorphology; Computer science","score_opus":0.015827162465825887,"score_gpt":0.3250614442493566,"score_spread":0.30923428178353074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220971179","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048208605,0.42673352,0.17815717,0.26937473,0.0052394615,0.0043681734,0.006244785,0.0026430185,0.05903062],"genre_scores_gemma":[0.11264773,0.302367,0.5546661,0.0070020263,0.0011115082,0.002256122,0.003129601,0.00028415327,0.016535724],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9894692,0.0039200257,0.0013709402,0.0010618019,0.0036946123,0.00048337286],"domain_scores_gemma":[0.9398496,0.014945256,0.003102542,0.002063788,0.03731236,0.0027263234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.030316351,0.0020789267,0.0010060286,0.0063266708,0.001208925,0.0050739725,0.0039656437,0.004329072,0.006033085],"category_scores_gemma":[0.05425488,0.0008929937,0.001182371,0.0046216785,0.0015243582,0.00577193,0.0018364141,0.002594701,0.0031614031],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025905503,0.00029122285,0.027159028,0.0046664807,0.000094202675,0.00027579287,0.0007818078,0.0052913465,0.00463962,0.006717493,0.03840518,0.91141874],"study_design_scores_gemma":[0.00025390997,0.0024539176,0.12594302,0.073913805,0.0010639552,0.001635757,0.019279141,0.051162425,0.010407687,0.037121437,0.6759988,0.00076609047],"about_ca_topic_score_codex":0.02413004,"about_ca_topic_score_gemma":0.04118451,"teacher_disagreement_score":0.030316351,"about_ca_system_score_codex":0.0038077394,"about_ca_system_score_gemma":0.014134661,"threshold_uncertainty_score":0.16033012},"labels":[],"label_agreement":null},{"id":"W4224265331","doi":"10.1190/geo2021-0376.1","title":"Development of a workflow for processing ground-penetrating radar data from multiconcurrent receivers","year":2022,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Petro-Canada","funders":"","keywords":"Ground-penetrating radar; Workflow; Computer science; Offset (computer science); Data processing; Transmitter; Radar; Real-time computing; Data mining; Remote sensing; Geology; Database; Telecommunications","score_opus":0.06963512817383925,"score_gpt":0.29980676627930963,"score_spread":0.23017163810547037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224265331","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006089914,0.00008079844,0.917885,0.000208792,0.00010216744,0.0008195476,0.0025599154,0.070835106,0.0014188089],"genre_scores_gemma":[0.02848698,0.000151484,0.9526856,0.00026752378,0.000050736773,0.00093909993,0.0092818355,0.006195909,0.0019407768],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965346,0.00030205323,0.0005981054,0.0011312921,0.0010780436,0.00035578714],"domain_scores_gemma":[0.99134576,0.0018226985,0.00064340874,0.0022688534,0.0030342827,0.00088496774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005301621,0.0027418819,0.001762461,0.003314815,0.0017571913,0.004151297,0.003675078,0.0013475566,0.005804587],"category_scores_gemma":[0.009065432,0.001639343,0.002635978,0.0018522278,0.0010264115,0.0023229988,0.0030041744,0.002998802,0.009070402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011107377,0.00095250783,0.012254284,0.0014349372,0.0004165105,0.002927156,0.0026492635,0.051748533,0.19629267,0.016885327,0.0660172,0.6473108],"study_design_scores_gemma":[0.00040896458,0.00035886918,0.013090842,0.00050123536,0.00018228123,0.0011569039,0.0011361135,0.47380844,0.29739603,0.032715775,0.17850825,0.00073631527],"about_ca_topic_score_codex":0.009394711,"about_ca_topic_score_gemma":0.004904533,"teacher_disagreement_score":0.009394711,"about_ca_system_score_codex":0.0019620396,"about_ca_system_score_gemma":0.0063694194,"threshold_uncertainty_score":0.028038025},"labels":[],"label_agreement":null},{"id":"W4225911863","doi":"10.4018/978-1-6684-2408-7.ch049","title":"Mapping Ground Penetrating Radar Amplitudes Using Artificial Neural Network and Multiple Regression Analysis Methods","year":2021,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Bridge (graph theory); Artificial neural network; Ground-penetrating radar; Rebar; Engineering; Weibull distribution; Radar; Computer science; Structural engineering; Artificial intelligence; Statistics; Mathematics","score_opus":0.05854133420500565,"score_gpt":0.3242383386289114,"score_spread":0.26569700442390576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225911863","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039529,0.0008198969,0.9539127,0.00013199757,0.000051717718,0.000064266584,0.00024735834,0.001129168,0.004113934],"genre_scores_gemma":[0.43347546,0.0014245689,0.5552558,0.00009023749,0.000069385314,0.00019430675,0.0007177197,0.0001352129,0.008637325],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997025,0.00007192377,0.000021160538,0.00009881826,0.000083055624,0.000022483577],"domain_scores_gemma":[0.9996551,0.00018959338,0.00004917399,0.000019650648,0.00007853853,0.000007825401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060900627,0.0010589457,0.00046045097,0.001451133,0.0001882887,0.0010629897,0.0007217306,0.00082338764,0.0019908017],"category_scores_gemma":[0.0012780232,0.00036396255,0.0006500556,0.0018323654,0.00017584514,0.0009405491,0.0004025921,0.000575235,0.0007448963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000086281696,0.00013384716,0.0030203124,0.0001904857,0.000103662016,0.00017962765,0.000070260736,0.39370483,0.011310468,0.0018860298,0.0018643492,0.58744985],"study_design_scores_gemma":[0.0000017995023,0.00001818083,0.0010034378,0.000008330572,0.0000096412,0.000021196718,0.000015209715,0.9967231,0.0011639394,0.00060521736,0.00042232472,0.0000076156816],"about_ca_topic_score_codex":0.004312312,"about_ca_topic_score_gemma":0.0041349516,"teacher_disagreement_score":0.004312312,"about_ca_system_score_codex":0.00033237637,"about_ca_system_score_gemma":0.00030793852,"threshold_uncertainty_score":0.008574426},"labels":[],"label_agreement":null},{"id":"W4229894371","doi":"10.4133/1.2923496","title":"On Time‐Domain Transient Electromagnetic Soundings","year":2005,"lang":"en","type":"article","venue":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2005","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Petro-Canada","funders":"","keywords":"Transient (computer programming); Time domain; Transient analysis; Computer science; Geology; Transient response; Electrical engineering; Engineering","score_opus":0.002746944164521116,"score_gpt":0.16937225509789655,"score_spread":0.16662531093337543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229894371","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015306673,0.00007386796,0.9818841,0.00004600369,0.00002521393,0.000023875893,0.00003820943,0.000335123,0.0022669686],"genre_scores_gemma":[0.3865753,0.0009285984,0.6056381,0.00009233185,0.00008564012,0.00017730039,0.00032898257,0.00018586489,0.005987894],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.999796,0.00006174042,0.000007031065,0.000019762767,0.00009991438,0.000015637124],"domain_scores_gemma":[0.9995352,0.00023669994,0.000025373292,0.00007445558,0.00011425536,0.000013967221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036669808,0.00042373146,0.0003109714,0.00032956907,0.00017477032,0.00046276854,0.0005306256,0.0004955931,0.0013738817],"category_scores_gemma":[0.0018313786,0.0002073233,0.00040199308,0.00051490753,0.0005282258,0.00083562435,0.0004847705,0.0005512021,0.00058459665],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000718406,0.000035824356,0.0006311037,0.0000885052,0.0000219142,0.00012454754,0.000107377535,0.85075116,0.017997133,0.026084973,0.00088483014,0.1032008],"study_design_scores_gemma":[0.000005942298,0.000023390532,0.000115295516,0.0000069410717,0.0000030872043,0.00003182517,0.0000128046395,0.99099547,0.0040572197,0.0028040041,0.0019365984,0.000007424686],"about_ca_topic_score_codex":0.002339518,"about_ca_topic_score_gemma":0.0014660906,"teacher_disagreement_score":0.002339518,"about_ca_system_score_codex":0.00022853806,"about_ca_system_score_gemma":0.0002612262,"threshold_uncertainty_score":0.0046518445},"labels":[],"label_agreement":null},{"id":"W4230227095","doi":"10.1139/cjce-28-4-574","title":"Calibration of design code for buried structures","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Calibration; Code (set theory); Computer science; Civil engineering; Reliability engineering; Engineering; Programming language; Statistics; Mathematics","score_opus":0.02138437379481529,"score_gpt":0.22830908150982973,"score_spread":0.20692470771501445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230227095","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08420415,0.00007572994,0.9038157,0.00012981944,0.00007265811,0.0000842235,0.00022357238,0.007833756,0.0035603843],"genre_scores_gemma":[0.6192937,0.00006286574,0.3748755,0.00008197002,0.00001606864,0.00015519171,0.00060131046,0.0019511819,0.0029621497],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988663,0.00030638583,0.00003991376,0.00014087936,0.0005602675,0.00008635682],"domain_scores_gemma":[0.99637634,0.0008500451,0.00027683846,0.0006713316,0.0017230676,0.00010234509],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015008957,0.00078317116,0.0004033408,0.00083024206,0.00056618155,0.000749959,0.00095766474,0.0009828339,0.0041713854],"category_scores_gemma":[0.008711479,0.00052116613,0.00038131536,0.00044802917,0.00044248748,0.0008093644,0.00084267725,0.0009866689,0.001880796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043132645,0.0001578436,0.010423543,0.0001586852,0.000066034365,0.00013617615,0.00051275117,0.590217,0.070053205,0.0109216925,0.00685062,0.3100711],"study_design_scores_gemma":[0.00004989797,0.000099383986,0.00184605,0.000030503707,0.000017148928,0.00007206018,0.000048201153,0.9542038,0.03602307,0.0023640248,0.0052212845,0.000024535531],"about_ca_topic_score_codex":0.0025946011,"about_ca_topic_score_gemma":0.002560005,"teacher_disagreement_score":0.0041713854,"about_ca_system_score_codex":0.0010470778,"about_ca_system_score_gemma":0.0014674971,"threshold_uncertainty_score":0.013954639},"labels":[],"label_agreement":null},{"id":"W4231226656","doi":"10.22215/etd/2009-09057","title":"Characterization of solid waste in a bioreactor landfill using seismic borehold techniques","year":2009,"lang":"en","type":"dissertation","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Characterization (materials science); Waste material; Municipal solid waste; Waste management; Engineering; Environmental science; Physics; Optics","score_opus":0.01411893845871953,"score_gpt":0.28184826483976066,"score_spread":0.26772932638104113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231226656","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99068356,0.00019102624,0.007501971,0.000072023926,0.000007920377,0.000019727124,0.00017724569,0.0000503978,0.0012961546],"genre_scores_gemma":[0.9890057,0.00040661465,0.0070221983,0.00003703826,0.0000048163633,0.000021719809,0.0003685103,0.000021871294,0.0031114563],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99981767,0.00001997123,0.000011225111,0.00002760762,0.00009591723,0.000027583357],"domain_scores_gemma":[0.99989057,0.000025971849,0.000018728027,0.000009944141,0.000041120427,0.000013651581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027520012,0.00020309053,0.00023581724,0.00046042042,0.00034783644,0.00041583038,0.00021681408,0.00030397708,0.0007419841],"category_scores_gemma":[0.0001980956,0.00010715269,0.0002367402,0.00045267667,0.0002074819,0.00038150972,0.0001830099,0.00028600942,0.00033239726],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000083848194,0.000037225618,0.001325591,0.000019726493,0.0000028021882,0.00004977757,0.00006929602,0.00034944364,0.9932231,0.000037754326,0.00003324996,0.0047682063],"study_design_scores_gemma":[0.0000038406015,0.00025296595,0.00610367,0.000003961204,0.000006624823,0.00007003547,0.00023149812,0.0023754912,0.9902041,0.000054991553,0.00068770227,0.0000050439194],"about_ca_topic_score_codex":0.0012089319,"about_ca_topic_score_gemma":0.0024499658,"teacher_disagreement_score":0.0012089319,"about_ca_system_score_codex":0.00020718576,"about_ca_system_score_gemma":0.00036315687,"threshold_uncertainty_score":0.0024821758},"labels":[],"label_agreement":null},{"id":"W4235173464","doi":"10.1139/cgj-37-1-259","title":"Testing of a new generation horizontal soil sampler","year":2000,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sampling (signal processing); Directional drilling; Borehole; Drilling; Geology; Geotechnical engineering; Horizontal and vertical; Soil test; Sample (material); Engineering; Soil water; Soil science; Geodesy; Mechanical engineering","score_opus":0.03475871766173926,"score_gpt":0.2440136048094129,"score_spread":0.20925488714767362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235173464","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66590464,0.0006120835,0.3251325,0.00026527452,0.0001940479,0.0013245941,0.0011523159,0.0024266203,0.0029879126],"genre_scores_gemma":[0.6546973,0.00034288436,0.3368758,0.0004033974,0.00006593816,0.0006843272,0.0010907431,0.00015278596,0.0056867762],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9970963,0.00049619493,0.00018285195,0.00049114844,0.0016089453,0.00012456773],"domain_scores_gemma":[0.9945523,0.002210094,0.00048395194,0.00063296454,0.0019011924,0.0002194563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032329962,0.000529313,0.00050473824,0.0005303849,0.00024625397,0.00059869845,0.0016013416,0.0006205959,0.0019661607],"category_scores_gemma":[0.0050783935,0.0003963458,0.00026995386,0.00034036947,0.00038765807,0.00085773686,0.00082651555,0.00023763596,0.00063374935],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015018295,0.00085391954,0.054565858,0.0009490805,0.0001284918,0.00037893225,0.0006668346,0.004599584,0.67539334,0.0017541848,0.0019627828,0.25724512],"study_design_scores_gemma":[0.0004317328,0.008184879,0.040736828,0.000111015695,0.00034526468,0.0029259664,0.0003827272,0.057083137,0.86049646,0.0005854919,0.02857967,0.00013673615],"about_ca_topic_score_codex":0.0014456174,"about_ca_topic_score_gemma":0.0022680946,"teacher_disagreement_score":0.0032329962,"about_ca_system_score_codex":0.00050007267,"about_ca_system_score_gemma":0.0009039876,"threshold_uncertainty_score":0.01709795},"labels":[],"label_agreement":null},{"id":"W4235574329","doi":"10.32920/ryerson.14644542","title":"Applications of ground penetrating radar in geotechnical investigation","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Ground-penetrating radar; Borehole; Geotechnical investigation; Geotechnical engineering; Geology; Radar; Remote sensing; Engineering","score_opus":0.022432532287810645,"score_gpt":0.2732521562748717,"score_spread":0.25081962398706104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235574329","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13707672,0.028487707,0.77711165,0.0016514336,0.00032381376,0.00020970809,0.000222965,0.00061465934,0.054301247],"genre_scores_gemma":[0.74065423,0.023200456,0.22663924,0.00035278636,0.00023219005,0.00008137466,0.00020838805,0.00007293208,0.008558471],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980161,0.0009704967,0.00007080219,0.00021800023,0.0006474548,0.00007711113],"domain_scores_gemma":[0.9984074,0.0008303893,0.00012783275,0.00025044815,0.00034253337,0.0000414215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015897312,0.0004749846,0.0002932948,0.0009824544,0.00026284083,0.0012487343,0.00044353717,0.0011216705,0.0018588771],"category_scores_gemma":[0.0025232704,0.00030607526,0.0001949722,0.0018016092,0.0010168963,0.0009691664,0.0011141357,0.0005009407,0.00096988364],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024297259,0.00019662864,0.016872637,0.001118175,0.000079052836,0.0011619522,0.0009588771,0.05123805,0.11442629,0.029115854,0.0033194066,0.78127015],"study_design_scores_gemma":[0.000089660854,0.002509034,0.043705896,0.0013721865,0.00026224903,0.010791742,0.004314453,0.29765314,0.2315978,0.16992591,0.23748533,0.00029262106],"about_ca_topic_score_codex":0.000445674,"about_ca_topic_score_gemma":0.0003631015,"teacher_disagreement_score":0.0018588771,"about_ca_system_score_codex":0.00023443156,"about_ca_system_score_gemma":0.00036864585,"threshold_uncertainty_score":0.008407414},"labels":[],"label_agreement":null},{"id":"W4237928397","doi":"10.4095/215713","title":"Helicopter-borne gamma ray spectrometric and magnetic total field geophysical survey, Toodoggone River area, British Columbia - parts of 94 D/15, E/2, 3, 6, 7, 10, 11","year":2004,"lang":"en","type":"report","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geophysical survey; Field survey; Geography; Geology; Geophysics; Cartography; Archaeology; Seismology","score_opus":0.019206326480756587,"score_gpt":0.24216182618326473,"score_spread":0.22295549970250814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237928397","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5289969,0.0013805431,0.0018766633,0.0014480281,0.00014938218,0.00069931307,0.3371232,0.0005102971,0.1278156],"genre_scores_gemma":[0.5164358,0.0024704577,0.0065215547,0.00042803164,0.000036318816,0.00037253168,0.14036177,0.00018609237,0.33318743],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99966407,0.000029175144,0.0000143412735,0.000044514498,0.00017778309,0.00007019147],"domain_scores_gemma":[0.9989957,0.00004427464,0.000046599776,0.000031349762,0.00077541446,0.00010671984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028602962,0.00061428663,0.00028649057,0.0024967159,0.00208587,0.000578659,0.001062856,0.00034498947,0.0075423387],"category_scores_gemma":[0.000738239,0.00035148318,0.00015275159,0.0037229485,0.00035105852,0.0004134428,0.00053093344,0.00051212753,0.0019021408],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048568303,0.00039186786,0.56093395,0.00054166175,0.00016474517,0.0009119033,0.0017332928,0.0034923751,0.006545666,0.0011670985,0.29845354,0.12517823],"study_design_scores_gemma":[0.000060554605,0.000050681614,0.92559415,0.000077579745,0.00004667754,0.00014891652,0.0023396022,0.0021851717,0.0024298346,0.00014189117,0.0668929,0.000031946638],"about_ca_topic_score_codex":0.9822473,"about_ca_topic_score_gemma":0.99304456,"teacher_disagreement_score":0.017752707,"about_ca_system_score_codex":0.0077909827,"about_ca_system_score_gemma":0.019044729,"threshold_uncertainty_score":0.056527793},"labels":[],"label_agreement":null},{"id":"W4239407098","doi":"10.4133/1.2923592","title":"GPR Surveying at a Maya Ruin Site, Belize, Central America","year":2006,"lang":"en","type":"article","venue":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2006","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Ground-penetrating radar; Excavation; Cave; Archaeology; Geology; Maya; Volcano; Seismology; Ground truth; Radar; Mining engineering; Geography; Engineering; Computer science","score_opus":0.0035915255631162666,"score_gpt":0.1680582924453595,"score_spread":0.16446676688224324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239407098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99309266,0.0001399677,0.00044350332,0.000117207324,0.00000511432,0.000043653312,0.00045794548,0.00005878746,0.0056412285],"genre_scores_gemma":[0.99605054,0.00011578477,0.0011803706,0.000045009583,0.0000052565583,0.0000215077,0.0005674788,0.0000066075404,0.002007455],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998443,0.000017619674,0.000004847948,0.000049547634,0.00003987648,0.000043721466],"domain_scores_gemma":[0.999866,0.000022003846,0.00002104461,0.000010562697,0.000062786574,0.000017542025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003187736,0.0002104534,0.00019231549,0.0013544158,0.0011765598,0.0004835766,0.000498774,0.00029247833,0.0009971766],"category_scores_gemma":[0.000304089,0.00016044329,0.000106291845,0.0012587023,0.00076934317,0.00034087736,0.00049811933,0.00017322275,0.00013755649],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007892239,0.000691905,0.7402582,0.00028631662,0.00014807568,0.0057238755,0.022595542,0.006926904,0.084594324,0.002529233,0.00710012,0.12835623],"study_design_scores_gemma":[0.000016984535,0.00012865741,0.985363,0.000015539432,0.000023556238,0.00026902364,0.004534502,0.0016887226,0.0010364781,0.0000784815,0.006828762,0.000016227234],"about_ca_topic_score_codex":0.3257808,"about_ca_topic_score_gemma":0.61575586,"teacher_disagreement_score":0.3257808,"about_ca_system_score_codex":0.0021832015,"about_ca_system_score_gemma":0.0013226294,"threshold_uncertainty_score":0.6477691},"labels":[],"label_agreement":null},{"id":"W4241137736","doi":"10.5194/hessd-7-1535-2010","title":"Groundwater flow and storage within an alpine meadow-talus complex","year":2010,"lang":"en","type":"preprint","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Eidgenössische Technische Hochschule Zürich; Canadian Foundation for Climate and Atmospheric Sciences; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Parks Canada; National Science Foundation","keywords":"Snowmelt; Groundwater; Bedrock; Hydrology (agriculture); Geology; Ground-penetrating radar; Water table; Electrical resistivity tomography; Snow; Watershed; Groundwater flow; Structural basin; Surface runoff; Saprolite; Piezometer; Water storage; Geomorphology; Aquifer; Weathering; Radar; Electrical resistivity and conductivity","score_opus":0.03727557901530052,"score_gpt":0.27801822130399595,"score_spread":0.24074264228869544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241137736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997814,0.000013145191,0.000036046295,0.0000035060343,9.905831e-8,0.0000011951649,0.000036816393,0.0000020278583,0.00012579148],"genre_scores_gemma":[0.99976224,0.00000921744,0.00008039,0.0000021430974,2.8351965e-7,0.0000011745132,0.00005809512,5.7431816e-7,0.000085926185],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999416,0.00000600208,0.00000241997,0.000014220201,0.000014580181,0.000021291644],"domain_scores_gemma":[0.9999088,0.000010550524,0.00002153134,0.0000029773767,0.000027400081,0.000028670927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006122707,0.00011206524,0.00016358976,0.0007874532,0.0007666273,0.0006133845,0.00018158442,0.00014129732,0.00071777427],"category_scores_gemma":[0.00019838838,0.00008598138,0.00008722175,0.0008574324,0.0004103708,0.0001994996,0.00037209972,0.00007263014,0.00004913448],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025442292,0.000042877567,0.9504391,0.000036789468,0.00006143363,0.0005753228,0.003444692,0.00085822557,0.028589878,0.00030238146,0.00014290356,0.015251996],"study_design_scores_gemma":[0.0000027518915,0.000021067926,0.99732447,0.0000024038986,0.000006759102,0.000062501014,0.0009221398,0.001032027,0.00033358156,0.000030412059,0.00025866798,0.000003112977],"about_ca_topic_score_codex":0.33445635,"about_ca_topic_score_gemma":0.52680707,"teacher_disagreement_score":0.33445635,"about_ca_system_score_codex":0.0014284729,"about_ca_system_score_gemma":0.00077286956,"threshold_uncertainty_score":0.6650192},"labels":[],"label_agreement":null},{"id":"W4241788493","doi":"10.4133/1.2927151","title":"Azimuthal Resistivity to Characterize Fractures in a Glacial Till","year":2002,"lang":"en","type":"article","venue":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2002","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Electrical resistivity and conductivity; Geology; Glacial period; Azimuth; Geomorphology; Electrical engineering; Physics; Engineering; Astronomy","score_opus":0.00857404153478023,"score_gpt":0.19213663040477624,"score_spread":0.18356258886999602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241788493","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9166384,0.002187392,0.048058946,0.0005637174,0.00010278694,0.00006775549,0.003384697,0.0010339023,0.027962372],"genre_scores_gemma":[0.9859752,0.0006787383,0.009886774,0.00005402383,0.0000249809,0.000015111896,0.0005920461,0.000032602744,0.0027405035],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99986637,0.000016995024,0.000007400739,0.000023078408,0.00006890992,0.000017252256],"domain_scores_gemma":[0.99978393,0.00004558994,0.000042609256,0.000017745318,0.0000874718,0.000022544562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027603866,0.0001901896,0.000118558135,0.0018318641,0.00017660987,0.00052448513,0.00017659809,0.00022981175,0.0017528095],"category_scores_gemma":[0.00052438286,0.0001100859,0.00009171806,0.0012432868,0.00017079053,0.00036081873,0.00029864785,0.00026647534,0.0004524506],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003969508,0.000107543114,0.48733893,0.00027946243,0.00007585409,0.0009218348,0.0008531593,0.023974229,0.15283032,0.002462804,0.010848897,0.31990996],"study_design_scores_gemma":[0.000040502913,0.0002453569,0.8633646,0.00013397541,0.000079018966,0.0012262273,0.0013134613,0.06323212,0.04914851,0.003314986,0.01782009,0.00008120619],"about_ca_topic_score_codex":0.0059075733,"about_ca_topic_score_gemma":0.019284073,"teacher_disagreement_score":0.0059075733,"about_ca_system_score_codex":0.00028078168,"about_ca_system_score_gemma":0.00029059272,"threshold_uncertainty_score":0.011746347},"labels":[],"label_agreement":null},{"id":"W4245101104","doi":"10.1016/j.wasman.2021.06.001","title":"Enhanced GPR data interpretation to estimate in situ water saturation in a landfill","year":2021,"lang":"en","type":"article","venue":"Waste Management","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Ground-penetrating radar; Saturation (graph theory); Environmental science; In situ; Hydrology (agriculture); Soil science; Environmental engineering; Environmental chemistry; Geology; Remote sensing; Geotechnical engineering; Engineering; Chemistry; Meteorology; Geography; Mathematics; Radar","score_opus":0.014820258119967289,"score_gpt":0.2926945255936843,"score_spread":0.277874267473717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245101104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9797855,0.00004246472,0.018646339,0.00004965291,0.000010140217,0.000009575748,0.00015179989,0.00027236587,0.0010320699],"genre_scores_gemma":[0.9931202,0.000024615669,0.0064587076,0.00001107099,0.0000035865132,0.000004268967,0.00006438572,0.000013270422,0.00029987338],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998976,0.000025642927,0.0000071179998,0.000019337218,0.00003047622,0.000019698575],"domain_scores_gemma":[0.9998523,0.000053461295,0.000015264886,0.000015408046,0.000054205502,0.0000093033195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026244667,0.0002882528,0.0003478069,0.00047984786,0.00021881048,0.00039965994,0.00030538937,0.00046632768,0.0005326033],"category_scores_gemma":[0.00036300946,0.0001638275,0.00017848374,0.0004978445,0.00019632149,0.00037133213,0.00028963765,0.00021887514,0.00013893667],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018801017,0.00045864892,0.09456855,0.00021881112,0.00008660064,0.0013258428,0.0008394923,0.07642128,0.67544943,0.000590834,0.0013426133,0.14681768],"study_design_scores_gemma":[0.00006348805,0.0004655036,0.11597785,0.000023139584,0.00013009907,0.0006144469,0.0009229603,0.6865469,0.19244626,0.00076479075,0.0019927493,0.00005182475],"about_ca_topic_score_codex":0.0015363876,"about_ca_topic_score_gemma":0.001935321,"teacher_disagreement_score":0.0015363876,"about_ca_system_score_codex":0.00016336716,"about_ca_system_score_gemma":0.00025330894,"threshold_uncertainty_score":0.0030548573},"labels":[],"label_agreement":null},{"id":"W4246352506","doi":"10.4095/215712","title":"Helicopter-borne gamma ray spectrometric and magnetic total field geophysical survey, Toodoggone River area, British Columbia - parts of 94 D/15, E/2, 3, 6, 7, 10, 11","year":2004,"lang":"en","type":"report","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geophysical survey; Geology; Geophysics; Field survey; Seismology","score_opus":0.019206326480756587,"score_gpt":0.24216182618326473,"score_spread":0.22295549970250814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246352506","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5289969,0.0013805431,0.0018766633,0.0014480281,0.00014938218,0.00069931307,0.3371232,0.0005102971,0.1278156],"genre_scores_gemma":[0.5164358,0.0024704577,0.0065215547,0.00042803164,0.000036318816,0.00037253168,0.14036177,0.00018609237,0.33318743],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99966407,0.000029175144,0.0000143412735,0.000044514498,0.00017778309,0.00007019147],"domain_scores_gemma":[0.9989957,0.00004427464,0.000046599776,0.000031349762,0.00077541446,0.00010671984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028602962,0.00061428663,0.00028649057,0.0024967159,0.00208587,0.000578659,0.001062856,0.00034498947,0.0075423387],"category_scores_gemma":[0.000738239,0.00035148318,0.00015275159,0.0037229485,0.00035105852,0.0004134428,0.00053093344,0.00051212753,0.0019021408],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048568303,0.00039186786,0.56093395,0.00054166175,0.00016474517,0.0009119033,0.0017332928,0.0034923751,0.006545666,0.0011670985,0.29845354,0.12517823],"study_design_scores_gemma":[0.000060554605,0.000050681614,0.92559415,0.000077579745,0.00004667754,0.00014891652,0.0023396022,0.0021851717,0.0024298346,0.00014189117,0.0668929,0.000031946638],"about_ca_topic_score_codex":0.9822473,"about_ca_topic_score_gemma":0.99304456,"teacher_disagreement_score":0.017752707,"about_ca_system_score_codex":0.0077909827,"about_ca_system_score_gemma":0.019044729,"threshold_uncertainty_score":0.056527793},"labels":[],"label_agreement":null},{"id":"W4246918965","doi":"10.1002/3527607560.ch3d","title":"Porous Materials","year":2005,"lang":"en","type":"other","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Sprite (computer graphics); Chlorine; Materials science; Porosity; Lithium (medication); Porous medium; Sodium; Mineralogy; Nuclear magnetic resonance; Chemistry; Physics; Composite material; Computer science; Metallurgy; Computer graphics (images); Medicine","score_opus":0.007648943896093437,"score_gpt":0.23913314036289016,"score_spread":0.23148419646679672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246918965","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022451935,0.04992834,0.0510332,0.00198866,0.004059283,0.00023329802,0.0047484916,0.0024196163,0.8631371],"genre_scores_gemma":[0.16399986,0.034900773,0.033056125,0.0013796355,0.00076459587,0.0003171328,0.006811946,0.0006914198,0.7580785],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999759,0.000008756965,0.000009926717,0.00005106833,0.00014433189,0.000026899523],"domain_scores_gemma":[0.99992394,0.000011115138,0.000008626711,0.00001660055,0.000026612639,0.000013194948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001527012,0.00042668835,0.0003824293,0.00068489515,0.00056696916,0.0013626965,0.00069404615,0.0006055514,0.057116993],"category_scores_gemma":[0.00026036112,0.00027899406,0.00023419298,0.00062447716,0.00030561513,0.001319631,0.0008750274,0.0007632465,0.026446825],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011583137,0.00015681042,0.0003644636,0.0019031775,0.000046564284,0.000324297,0.00014159254,0.0019559646,0.17460681,0.14841889,0.16300716,0.50895846],"study_design_scores_gemma":[0.000011285739,0.000043554384,0.00031333478,0.000073014686,0.0000107599135,0.00025953236,0.000033708417,0.00064206886,0.059811503,0.0067272973,0.93205893,0.000015032196],"about_ca_topic_score_codex":0.0004808772,"about_ca_topic_score_gemma":0.0011067942,"teacher_disagreement_score":0.057116993,"about_ca_system_score_codex":0.0004785319,"about_ca_system_score_gemma":0.00042915792,"threshold_uncertainty_score":0.19107533},"labels":[],"label_agreement":null},{"id":"W4248402613","doi":"10.1007/978-94-007-0753-5_104232","title":"Time-Space Sampling","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brandon University; University of Northern British Columbia","funders":"","keywords":"Sampling (signal processing); Computer science; Space (punctuation); Computer vision; Operating system","score_opus":0.023680656612051754,"score_gpt":0.2454672926450698,"score_spread":0.22178663603301804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248402613","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013539795,0.0063549043,0.80800533,0.0007856548,0.0016129434,0.000049155013,0.0004770844,0.001066308,0.18029463],"genre_scores_gemma":[0.06942805,0.017904114,0.39712512,0.00095692906,0.0021960065,0.00017516632,0.0020827432,0.0013760579,0.5087559],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9997131,0.000047661237,0.0000130681865,0.000064588625,0.00014396071,0.000017554303],"domain_scores_gemma":[0.99968326,0.00011055926,0.000010828915,0.0000967279,0.000082552746,0.000016060945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044175,0.0006602703,0.0004486762,0.0006825904,0.00033088535,0.0011027298,0.0006825107,0.00040441882,0.027360713],"category_scores_gemma":[0.0015063437,0.00023975864,0.00029448114,0.0010045153,0.00067208696,0.0012043547,0.0008661441,0.0011159393,0.011356996],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003875115,0.00001666914,0.00016900143,0.00013584853,0.000014556438,0.00004548048,0.00008985551,0.0045730653,0.002499239,0.3589507,0.07045267,0.5630141],"study_design_scores_gemma":[0.00001004575,0.000022069597,0.00047611241,0.00009354124,0.000013555563,0.0002825932,0.00004812808,0.025503084,0.003541678,0.28634596,0.6836429,0.000020149573],"about_ca_topic_score_codex":0.0012942904,"about_ca_topic_score_gemma":0.0020935903,"teacher_disagreement_score":0.027360713,"about_ca_system_score_codex":0.0004578692,"about_ca_system_score_gemma":0.0005594202,"threshold_uncertainty_score":0.09153068},"labels":[],"label_agreement":null},{"id":"W4249296694","doi":"10.4133/1.2927129","title":"Ground Penetrating Radar Monitoring of Unconfined Aquifer Pumping Tests: Results from New Experiments","year":2002,"lang":"en","type":"article","venue":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2002","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Ground-penetrating radar; Aquifer; Remote sensing; Radar; Geology; Groundwater; Geotechnical engineering; Engineering; Aerospace engineering","score_opus":0.016439897937080436,"score_gpt":0.20777479994432715,"score_spread":0.19133490200724673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249296694","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99222344,0.00043982448,0.0050812904,0.00010991649,0.000028203916,0.00019151156,0.0005425928,0.000085039734,0.0012982218],"genre_scores_gemma":[0.9857141,0.0010136142,0.008450521,0.00015775807,0.000023385644,0.00015628844,0.0017889915,0.000040031384,0.0026553557],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987708,0.0003062625,0.000087930035,0.00020520664,0.00047611565,0.00015364724],"domain_scores_gemma":[0.9980033,0.0006297578,0.00022771998,0.00022494637,0.0007239836,0.00019030637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002104862,0.00050478877,0.00041626426,0.00030769967,0.00038524487,0.00056924473,0.0005271429,0.00049933913,0.0007344392],"category_scores_gemma":[0.0011686872,0.00014083285,0.0006089189,0.0003287682,0.00065326213,0.0009315792,0.00045757776,0.00052966597,0.00021718506],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0074062515,0.013291245,0.10328725,0.0005464966,0.00048777042,0.00049886893,0.0012759204,0.007965755,0.70701694,0.00022975366,0.0031743594,0.1548194],"study_design_scores_gemma":[0.00053994096,0.039519295,0.35976273,0.000063945314,0.00072838203,0.00066676224,0.0012634367,0.013858134,0.5737311,0.00033136437,0.0093648,0.000169927],"about_ca_topic_score_codex":0.0052831024,"about_ca_topic_score_gemma":0.010928738,"teacher_disagreement_score":0.0052831024,"about_ca_system_score_codex":0.00060523924,"about_ca_system_score_gemma":0.0002664817,"threshold_uncertainty_score":0.011131704},"labels":[],"label_agreement":null},{"id":"W4249616050","doi":"10.4133/1.2922836","title":"Frequency Dependence in the Complex Resistivty of Ottawa Sand Containing Water‐Air and Water‐NAPL Mixtures","year":2000,"lang":"en","type":"article","venue":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2000","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Air water; Groundwater; Petroleum engineering; Geology; Geotechnical engineering; Physics; Mechanics","score_opus":0.006334589695228833,"score_gpt":0.1900759902841584,"score_spread":0.18374140058892957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249616050","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993475,0.00036116125,0.0007343887,0.00009863821,0.000018217232,0.000024356457,0.00067028287,0.000057102116,0.004560778],"genre_scores_gemma":[0.9964579,0.00015649352,0.00025609325,0.00003563349,0.0000044145763,0.0000121309595,0.00043736165,0.000018539697,0.0026213485],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993268,0.00004400844,0.00003599587,0.00012739355,0.00030400624,0.00016174285],"domain_scores_gemma":[0.99866533,0.00036079527,0.00023271312,0.00006778541,0.00052757736,0.00014571095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032337327,0.00034750445,0.0003021294,0.0015290333,0.0006319496,0.0009772135,0.00034628957,0.000391456,0.0056973114],"category_scores_gemma":[0.0015114566,0.00029472154,0.0002331245,0.00042783652,0.0007007449,0.000502145,0.00067622075,0.00041371622,0.0006695547],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015279109,0.00009682449,0.07658572,0.0003300547,0.00017012491,0.00048743884,0.0010644977,0.0140214125,0.8797965,0.0010227733,0.0023381105,0.022558702],"study_design_scores_gemma":[0.00005273357,0.0010235053,0.33124074,0.000055850403,0.0001676683,0.00042486377,0.003365539,0.021891922,0.631864,0.000778464,0.008899427,0.00023525541],"about_ca_topic_score_codex":0.04575651,"about_ca_topic_score_gemma":0.038177703,"teacher_disagreement_score":0.9542435,"about_ca_system_score_codex":0.00086375437,"about_ca_system_score_gemma":0.00044509195,"threshold_uncertainty_score":0.09098035},"labels":[],"label_agreement":null},{"id":"W4250573001","doi":"10.22215/etd/2006-08153","title":"Quantifying the effects of transmitter-receiver geometry variations on the capabilities of airborne electromagnetic survey systems to detect targets of high conductance","year":2006,"lang":"en","type":"dissertation","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"Strong","keywords":"Transmitter; Physics; Electrical engineering; Engineering","score_opus":0.013532885381186448,"score_gpt":0.24658865399142824,"score_spread":0.2330557686102418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250573001","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98254806,0.00013206869,0.01582248,0.00005172955,0.000009668918,0.000017025179,0.00017116273,0.00012287097,0.0011249357],"genre_scores_gemma":[0.9969998,0.000065071305,0.0024557926,0.00001537822,0.0000034299148,0.0000063236853,0.00012547609,0.000026334748,0.00030236377],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995053,0.00013141944,0.00002199469,0.00014269078,0.00012516485,0.000073414216],"domain_scores_gemma":[0.9948966,0.003930787,0.00044471907,0.00030632227,0.00034563305,0.000075983306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067103317,0.00038902412,0.000188211,0.0003226973,0.00015740818,0.0005062982,0.00022325263,0.0005849668,0.0008553047],"category_scores_gemma":[0.0052522826,0.00027873588,0.00023994158,0.00032060867,0.0003161423,0.00067198224,0.0003180899,0.0003241644,0.00028794078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001715426,0.00028653297,0.08050619,0.00018583777,0.00023071046,0.00027164328,0.00018740518,0.34817472,0.49639353,0.0005104589,0.00049689075,0.07104066],"study_design_scores_gemma":[0.000052326315,0.002233162,0.24094887,0.000017976006,0.00034655494,0.0006222119,0.00025799917,0.34265167,0.410848,0.0007816081,0.0011377727,0.00010184801],"about_ca_topic_score_codex":0.0013936893,"about_ca_topic_score_gemma":0.002377005,"teacher_disagreement_score":0.0013936893,"about_ca_system_score_codex":0.0003418651,"about_ca_system_score_gemma":0.00021212752,"threshold_uncertainty_score":0.003548801},"labels":[],"label_agreement":null},{"id":"W4252192487","doi":"10.24908/iqurcp.8526","title":"Using Reflectance Transformation Imaging (RTI) to Record and Interpret Weathered Tombstones in the Cataraqui Cemetery","year":2018,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Reflectivity; Archaeology; Transformation (genetics); History; Optics","score_opus":0.18587796720669464,"score_gpt":0.4139074955056351,"score_spread":0.22802952829894046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252192487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8971943,0.0018949932,0.060401533,0.0009645304,0.00014230529,0.00022378392,0.001229907,0.0013190315,0.036629602],"genre_scores_gemma":[0.8700353,0.0014099383,0.12036858,0.00015066803,0.00005075005,0.000057955338,0.0005550439,0.00027425803,0.0070974655],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99967074,0.000036531557,0.000011368079,0.00007264017,0.00015238853,0.000056379402],"domain_scores_gemma":[0.99971527,0.000044961012,0.000060862887,0.000051006522,0.00010674173,0.000021087559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052992,0.0003734325,0.000191959,0.0017930962,0.00070068275,0.0012850049,0.00044892007,0.00047536378,0.0011521599],"category_scores_gemma":[0.00090176717,0.00025389844,0.00022490992,0.0017064299,0.00055676425,0.0007597853,0.0006210551,0.0007075493,0.0005267813],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032285883,0.00017369768,0.11361908,0.0009030515,0.00010625707,0.001984266,0.010219356,0.0050405287,0.47723073,0.0025960812,0.0068779634,0.38092607],"study_design_scores_gemma":[0.0000604816,0.0004840543,0.6636053,0.0005089748,0.00024070784,0.006120307,0.018576715,0.04535752,0.19459195,0.003107302,0.06704297,0.00030373642],"about_ca_topic_score_codex":0.022596873,"about_ca_topic_score_gemma":0.07762454,"teacher_disagreement_score":0.022596873,"about_ca_system_score_codex":0.0005251569,"about_ca_system_score_gemma":0.0008744631,"threshold_uncertainty_score":0.044930696},"labels":[],"label_agreement":null},{"id":"W4252984899","doi":"10.4133/1.2923651","title":"Imaging Earthquake Scarps and Tsunami Deposits in the Pacific Northwest, USA","year":2006,"lang":"en","type":"article","venue":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2006","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Fault scarp; Geology; Ground-penetrating radar; Subsidence; Transect; Archaeology; Seismology; Geomorphology; Oceanography; Tectonics; Radar; Geography","score_opus":0.003124742125839594,"score_gpt":0.17001376758457495,"score_spread":0.16688902545873535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252984899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99269307,0.00015249557,0.00056777464,0.000117486656,0.000008007757,0.000025335557,0.0022761454,0.0000706923,0.0040889303],"genre_scores_gemma":[0.9889559,0.0005645558,0.0043750377,0.00008036052,0.000006708756,0.00002417898,0.003304002,0.000016096845,0.002673048],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99996567,0.0000029958837,0.0000022025993,0.000007000454,0.000016684664,0.0000054590714],"domain_scores_gemma":[0.99981123,0.000021013735,0.000026039204,0.0000077126415,0.00010551673,0.000028594872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000112241156,0.00010758321,0.000062277664,0.0007567956,0.0002230139,0.00025038602,0.00013576912,0.00011859308,0.0007940737],"category_scores_gemma":[0.00029825405,0.00008827859,0.00003624541,0.0009171671,0.00006936126,0.00017675728,0.00017902319,0.00012558875,0.00014409874],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021831252,0.00022082568,0.82111174,0.000093024166,0.00005789475,0.00093163864,0.0010813255,0.0018715772,0.030482665,0.00013502127,0.00856451,0.1352315],"study_design_scores_gemma":[0.000006622231,0.000028794258,0.98929197,0.00001580892,0.00001461109,0.000180977,0.0010117564,0.00392433,0.0023185113,0.000041942574,0.003159213,0.000005460437],"about_ca_topic_score_codex":0.10533636,"about_ca_topic_score_gemma":0.42138177,"teacher_disagreement_score":0.10533636,"about_ca_system_score_codex":0.00027842302,"about_ca_system_score_gemma":0.00038810345,"threshold_uncertainty_score":0.20944649},"labels":[],"label_agreement":null},{"id":"W4253371075","doi":"10.4133/1.2923212","title":"High Resolution Seismic Reflection Survey for Groundwater Contaminant Studies, C.F.B. Borden, Ontario, Canada","year":2003,"lang":"en","type":"article","venue":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2003","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Royal Military College of Canada; Geological Survey of Canada","funders":"","keywords":"Groundwater; Geology; Geological survey; Reflection (computer programming); Survey research; Seismology; Hydrology (agriculture); Geophysics; Geotechnical engineering; Computer science","score_opus":0.012134577629142742,"score_gpt":0.20667007085951197,"score_spread":0.19453549323036923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253371075","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04625328,0.060136873,0.01435663,0.03533926,0.0031265048,0.0010583937,0.14339158,0.0024882243,0.69384927],"genre_scores_gemma":[0.061537445,0.022853294,0.013672108,0.0013920462,0.0002786042,0.00010959998,0.02302033,0.00044767893,0.8766889],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9990306,0.00005030224,0.000029310437,0.0001245383,0.0006142789,0.00015102368],"domain_scores_gemma":[0.99837697,0.00007989247,0.00007356719,0.000044333297,0.0012323406,0.00019294991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006280129,0.0005948362,0.00041186577,0.0024355494,0.0024501022,0.001027946,0.0007844813,0.0006962874,0.072490565],"category_scores_gemma":[0.0010054101,0.00038457097,0.00028287212,0.0035993918,0.0004172384,0.0005192608,0.00055984006,0.0006029282,0.022488395],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001284721,0.00003394297,0.011491075,0.00031762992,0.000019380945,0.00022662891,0.0003793802,0.00032638668,0.0032601915,0.0013213779,0.77041495,0.21208061],"study_design_scores_gemma":[0.000025557973,0.000053919608,0.06921275,0.00015895504,0.00001923388,0.0001678983,0.0005677037,0.00032385136,0.0011200454,0.00021483471,0.928095,0.00004033573],"about_ca_topic_score_codex":0.9093819,"about_ca_topic_score_gemma":0.9794632,"teacher_disagreement_score":0.090618074,"about_ca_system_score_codex":0.011131536,"about_ca_system_score_gemma":0.023152975,"threshold_uncertainty_score":0.24250513},"labels":[],"label_agreement":null},{"id":"W4254946854","doi":"10.1109/ccst.2007.4373448","title":"[Front cover]","year":2007,"lang":"en","type":"paratext","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Senstar (Canada)","funders":"","keywords":"Terrain; Computer science; Radar; Real-time computing; Ground-penetrating radar; Global Positioning System; ALARM; Remote sensing; Engineering; Telecommunications; Electrical engineering; Geology; Geography","score_opus":0.01663464754330887,"score_gpt":0.28608042144684825,"score_spread":0.2694457739035394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254946854","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006653417,0.0025527822,0.002808304,0.0021187174,0.008544207,0.00023735537,0.005231411,0.004768707,0.9730732],"genre_scores_gemma":[0.0035534978,0.0019933344,0.0014490107,0.0022158332,0.001688672,0.00008073882,0.004625552,0.0008939006,0.9834995],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994862,0.000020318768,0.000014028543,0.00010630527,0.00029905376,0.00007400236],"domain_scores_gemma":[0.9992951,0.000057089044,0.000033237586,0.00009103535,0.0003420766,0.00018141407],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00028373237,0.0011722925,0.00097225304,0.0013858018,0.0015434627,0.0052329605,0.0023401848,0.0030699347,0.86740243],"category_scores_gemma":[0.0010827978,0.000543422,0.00079636485,0.0011140986,0.0004713426,0.0022484697,0.0018180384,0.002360177,0.8155555],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031810672,0.000046736146,0.00012322016,0.00023683044,0.0000057231177,0.00010512244,0.000012123607,0.000101641075,0.0020022946,0.0014038051,0.912625,0.083305605],"study_design_scores_gemma":[0.00000912296,0.000020428546,0.00035264358,0.00008020197,0.0000031427571,0.00013937044,0.00002362967,0.00013042284,0.0006577216,0.000641945,0.99793184,0.000009471281],"about_ca_topic_score_codex":0.0016185058,"about_ca_topic_score_gemma":0.0042575737,"teacher_disagreement_score":0.13259757,"about_ca_system_score_codex":0.0009955259,"about_ca_system_score_gemma":0.0008431889,"threshold_uncertainty_score":0.18913424},"labels":[],"label_agreement":null},{"id":"W4255285159","doi":"10.4133/1.2922798","title":"Downhole Seismic Logging Techniques in a Regional Hydrogeology Study, Oak Ridges Moraine, Southern Ontario","year":2000,"lang":"en","type":"article","venue":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2000","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Moraine; Hydrogeology; Logging; Geology; Geological survey; Forestry; Geography; Glacial period; Geomorphology; Geophysics; Geotechnical engineering","score_opus":0.005467107028809671,"score_gpt":0.18393629783387447,"score_spread":0.1784691908050648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255285159","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9765694,0.0016922441,0.0003406605,0.00051370286,0.00002635901,0.00021770211,0.006285231,0.000036961126,0.014317833],"genre_scores_gemma":[0.96329445,0.0023010743,0.0016003061,0.00019114836,0.000019210624,0.00014253969,0.0038891446,0.000035673107,0.028526366],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99929035,0.000038736245,0.000034907156,0.00012236554,0.00033706604,0.00017650709],"domain_scores_gemma":[0.9986129,0.00006967751,0.00021098796,0.000059654118,0.0008125259,0.00023429685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039141736,0.00032018195,0.00023042805,0.0010861802,0.0021741437,0.0007552106,0.0008247929,0.00022343638,0.0029912386],"category_scores_gemma":[0.0010675499,0.00031647552,0.00022662531,0.002742552,0.0007112517,0.0002924903,0.0008423063,0.00027764053,0.0006292193],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023810084,0.00012264648,0.8635335,0.00050490483,0.00009081723,0.0010235996,0.02694989,0.00035800503,0.0056969915,0.00042936127,0.015211979,0.08584029],"study_design_scores_gemma":[0.000005575175,0.000023993318,0.98703873,0.00004332142,0.0000150517235,0.000049185102,0.0049472754,0.00005911163,0.00015826155,0.000016220236,0.0076344116,0.000008956675],"about_ca_topic_score_codex":0.98929733,"about_ca_topic_score_gemma":0.9988574,"teacher_disagreement_score":0.016482206,"about_ca_system_score_codex":0.016482206,"about_ca_system_score_gemma":0.023422083,"threshold_uncertainty_score":0.1195873},"labels":[],"label_agreement":null},{"id":"W4255364621","doi":"10.4133/1.2923608","title":"GPR Monitoring of a DNAPL Release in a Natural Groundwater Flow Field","year":2006,"lang":"en","type":"article","venue":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2006","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ground-penetrating radar; Groundwater; Natural (archaeology); Environmental science; Groundwater flow; Petroleum engineering; Geology; Aquifer; Remote sensing; Soil science; Geotechnical engineering; Engineering; Radar; Aerospace engineering","score_opus":0.0032358975759540446,"score_gpt":0.17579984316800704,"score_spread":0.172563945592053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255364621","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992124,0.000010901499,0.00043289168,0.000019591584,0.0000015749448,0.0000059562863,0.00007020353,0.000024713752,0.00022184565],"genre_scores_gemma":[0.9986211,0.000018618472,0.00095860794,0.000015166071,0.0000015553028,0.0000049917758,0.0001340714,0.0000016922903,0.0002441029],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99987376,0.000019856046,0.000004436241,0.00002355896,0.000045882094,0.000032497628],"domain_scores_gemma":[0.99987364,0.000027570015,0.000024735153,0.000008787486,0.00004331709,0.000021901886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018344948,0.0001223245,0.00014277697,0.00034461837,0.00027440602,0.00016368135,0.00021609482,0.00027612867,0.00018447913],"category_scores_gemma":[0.00030951528,0.0000756434,0.000060072907,0.00022097118,0.00017077685,0.00014705591,0.00019729222,0.00022865401,0.00006283459],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001774847,0.0005913627,0.24793546,0.00009552178,0.000034385674,0.0034269327,0.0013860506,0.0041438667,0.6853706,0.00025810636,0.0012826498,0.05370022],"study_design_scores_gemma":[0.000082422885,0.0026193904,0.8087867,0.0000186627,0.000048220154,0.001382682,0.0015578949,0.031203957,0.15123317,0.00010535656,0.0029218958,0.00003962017],"about_ca_topic_score_codex":0.007306671,"about_ca_topic_score_gemma":0.012200768,"teacher_disagreement_score":0.007306671,"about_ca_system_score_codex":0.00039826642,"about_ca_system_score_gemma":0.00016885034,"threshold_uncertainty_score":0.014528275},"labels":[],"label_agreement":null},{"id":"W4256251293","doi":"10.1002/jnm.703","title":"FDTD modelling of a realistic room for through‐the‐wall radar applications","year":2008,"lang":"en","type":"article","venue":"International Journal of Numerical Modelling Electronic Networks Devices and Fields","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Defence Research and Development Canada","keywords":"Finite-difference time-domain method; Radar; Computer science; Remote sensing; Geology; Telecommunications; Physics; Optics","score_opus":0.02921292523006523,"score_gpt":0.2685290185132692,"score_spread":0.23931609328320397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4256251293","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35576558,0.00026008536,0.6343535,0.00016722614,0.00008756439,0.000071066635,0.00011032165,0.000469787,0.008714815],"genre_scores_gemma":[0.9388874,0.00022184465,0.057578303,0.000023227123,0.000009846188,0.00005041178,0.000078075274,0.000030121291,0.0031207618],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998852,0.000031618045,0.0000050194562,0.00001802037,0.000043857555,0.000016292644],"domain_scores_gemma":[0.99978393,0.00012300223,0.000022357923,0.000028174443,0.000031839383,0.000010730139],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020324919,0.00028201498,0.00023099668,0.00015393095,0.00015329964,0.0006010787,0.00033234878,0.00058232585,0.00099194],"category_scores_gemma":[0.0006261467,0.00024217926,0.0003389195,0.000117454816,0.0003314979,0.00031419017,0.0002928176,0.00024827293,0.00023805571],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011145105,0.000037757105,0.0008232032,0.00009191219,0.0000152040675,0.00037948324,0.00019564503,0.9140033,0.06894804,0.004020751,0.00034935956,0.011023962],"study_design_scores_gemma":[0.000016635331,0.000058973706,0.00048034557,0.0000096186495,0.000009027013,0.00015433256,0.00004839525,0.98539144,0.012019105,0.00042324862,0.001375851,0.0000130970275],"about_ca_topic_score_codex":0.00090444594,"about_ca_topic_score_gemma":0.0005279316,"teacher_disagreement_score":0.00099194,"about_ca_system_score_codex":0.00021067064,"about_ca_system_score_gemma":0.00036778758,"threshold_uncertainty_score":0.0033183694},"labels":[],"label_agreement":null},{"id":"W4280605388","doi":"10.3389/fenvs.2022.882496","title":"Time-Lapse Electrical Resistivity Tomography Imaging of Buried Human Remains in Simulated Mass and Individual Graves","year":2022,"lang":"en","type":"article","venue":"Frontiers in Environmental Science","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of Toledo","keywords":"Electrical resistivity and conductivity; Electrical resistivity tomography; Transect; Geology; Cadaver; Context (archaeology); Medicine; Surgery; Paleontology; Electrical engineering; Engineering","score_opus":0.005691716865272565,"score_gpt":0.21474286632857711,"score_spread":0.20905114946330455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280605388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976319,0.000031600754,0.0020508931,0.000006156816,0.0000011398865,0.0000040752757,0.000057437093,0.000013588152,0.00020309263],"genre_scores_gemma":[0.99727553,0.000055071938,0.0022596123,0.000007357848,0.0000014664703,0.0000056367203,0.00006919713,0.0000037427205,0.00032242827],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999665,0.0000053982963,0.0000016241272,0.00001098013,0.0000093535455,0.000006102859],"domain_scores_gemma":[0.9999076,0.000028459279,0.000023707655,0.000013471678,0.000017268178,0.000009456677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009976626,0.00015434394,0.000099016666,0.0002834466,0.00008257303,0.00016925187,0.0001551317,0.00026552912,0.0005422462],"category_scores_gemma":[0.00025310012,0.00013030588,0.00011450281,0.00021411445,0.00030799903,0.00013441477,0.00016847257,0.000113476395,0.00009160076],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007004254,0.00012295281,0.04430943,0.00010527468,0.00005377925,0.0019469254,0.0011490898,0.02251797,0.9024895,0.00024382157,0.00023449188,0.026126401],"study_design_scores_gemma":[0.000049841557,0.0015681772,0.76692086,0.0000573191,0.00014915814,0.0045831716,0.0025519496,0.08800613,0.13318661,0.0005321475,0.0023159806,0.00007861791],"about_ca_topic_score_codex":0.001246083,"about_ca_topic_score_gemma":0.0037970613,"teacher_disagreement_score":0.001246083,"about_ca_system_score_codex":0.000087601846,"about_ca_system_score_gemma":0.00008443315,"threshold_uncertainty_score":0.0024777055},"labels":[],"label_agreement":null},{"id":"W4280608132","doi":"10.1190/geo2021-0692.1","title":"Phantom subsurface targets in ground-penetrating radar data","year":2022,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Petro-Canada","funders":"","keywords":"Ground-penetrating radar; Geology; Radar; Energy (signal processing); Field (mathematics); Impression; Interpretation (philosophy); SIGNAL (programming language); Remote sensing; Computer science; Acoustics; Geophysics; Seismology; Telecommunications; Physics","score_opus":0.03182736621558261,"score_gpt":0.26798950476647676,"score_spread":0.23616213855089416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280608132","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44798407,0.00021118409,0.54445004,0.00022979084,0.00009029066,0.00016082978,0.0012646911,0.0014615188,0.004147572],"genre_scores_gemma":[0.87079656,0.000095924916,0.12589337,0.000038867583,0.000012254477,0.000072636714,0.001581517,0.00008051077,0.0014283682],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99912196,0.0002917425,0.00006759738,0.00009673169,0.00036169784,0.000060162736],"domain_scores_gemma":[0.9969432,0.0018808162,0.00022298637,0.00043828652,0.00047687476,0.000037853693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012320377,0.0003051854,0.00028299834,0.00075176544,0.00017315273,0.0007947039,0.00028216798,0.0005059485,0.0016544061],"category_scores_gemma":[0.004782071,0.00015131713,0.0001954474,0.0011363697,0.00044080603,0.000744546,0.0006469369,0.00038094205,0.0006374199],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012951294,0.00029953825,0.020502485,0.00044832978,0.000047167257,0.0034367738,0.0011391613,0.38026977,0.16864115,0.017015811,0.003974619,0.40293008],"study_design_scores_gemma":[0.00005992182,0.0007758916,0.019583989,0.000081908096,0.000035339683,0.0026911716,0.000664101,0.79442066,0.15618284,0.008965042,0.016459826,0.000079308586],"about_ca_topic_score_codex":0.0009327928,"about_ca_topic_score_gemma":0.00066582893,"teacher_disagreement_score":0.0016544061,"about_ca_system_score_codex":0.0003367248,"about_ca_system_score_gemma":0.00026601664,"threshold_uncertainty_score":0.0065157413},"labels":[],"label_agreement":null},{"id":"W4283749320","doi":"10.1190/tle41070462.1","title":"High-resolution imaging of subsurface infrastructure using deep learning artificial intelligence on drone magnetometry","year":2022,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland; Mount Allison University","funders":"","keywords":"Workflow; Artificial intelligence; Computer science; Ground truth; Drone; Deep learning; Geophysics; Geophysical imaging; Machine learning; Remote sensing; Geology","score_opus":0.020452315980235756,"score_gpt":0.27073258808011647,"score_spread":0.2502802720998807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283749320","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37986323,0.00032449947,0.6028299,0.000781646,0.00009892278,0.0000684956,0.00083208637,0.0035760417,0.011625138],"genre_scores_gemma":[0.8730096,0.00010126546,0.12419332,0.0000864551,0.00001730552,0.000017423261,0.0004968588,0.000051498864,0.00202626],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999151,0.000019936335,0.0000022874508,0.000018263161,0.00002956036,0.00001482399],"domain_scores_gemma":[0.9998405,0.000041260253,0.000018219873,0.000027016691,0.00005914194,0.000013862852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016944241,0.00031319933,0.00018850534,0.00056096766,0.00012907812,0.0003943308,0.00031112946,0.00022316792,0.0013353328],"category_scores_gemma":[0.0005119384,0.0001311258,0.00016729266,0.00049064617,0.00023058146,0.0003744128,0.0004156404,0.00034219588,0.00039627778],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025974502,0.00014443634,0.009071909,0.00015675367,0.00008043403,0.0002955676,0.00017448969,0.5068666,0.13107966,0.0039075734,0.0059296573,0.34203327],"study_design_scores_gemma":[0.000007848148,0.00002623552,0.0026501033,0.00000885684,0.000005201259,0.000038664253,0.000040532967,0.98385715,0.010142926,0.0014941965,0.0017189685,0.000009314237],"about_ca_topic_score_codex":0.0060178116,"about_ca_topic_score_gemma":0.012473254,"teacher_disagreement_score":0.0060178116,"about_ca_system_score_codex":0.00030012065,"about_ca_system_score_gemma":0.00037085227,"threshold_uncertainty_score":0.011965573},"labels":[],"label_agreement":null},{"id":"W4283831077","doi":"10.1002/nsg.12227","title":"Diffraction pattern recognition using deep semantic segmentation","year":2022,"lang":"en","type":"article","venue":"Near Surface Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Tetra Tech (Canada)","funders":"European Commission","keywords":"Diffraction; Geology; Seismology; Computer science; Regional geology; Segmentation; Artificial intelligence; Optics; Tectonics; Physics; Volcanism","score_opus":0.025188425260940294,"score_gpt":0.2558636388585259,"score_spread":0.23067521359758564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283831077","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10299074,0.00022768747,0.8884482,0.00023711544,0.000069869544,0.0000897438,0.00060504925,0.0048093237,0.0025221978],"genre_scores_gemma":[0.70658904,0.00015490518,0.28727973,0.00015144472,0.000042356678,0.00007598673,0.002611516,0.0002186097,0.00287644],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996424,0.000037152102,0.000026238273,0.00012687704,0.00009359101,0.000073885785],"domain_scores_gemma":[0.9996501,0.000082484374,0.00005123648,0.00006748242,0.00011699335,0.000031668606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034289228,0.0008745864,0.0008469122,0.00205615,0.0002695313,0.0011120373,0.000874566,0.0009947143,0.0016000469],"category_scores_gemma":[0.00068979955,0.00034602673,0.0010911786,0.0013283108,0.0006000532,0.0009925172,0.00096467027,0.00067466294,0.0006993595],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040054863,0.0002167919,0.0027483387,0.00013897882,0.000103701925,0.00023648118,0.00013414165,0.45222953,0.050177597,0.0065707015,0.0035723962,0.48347086],"study_design_scores_gemma":[0.000004964155,0.000017339593,0.00030858023,0.0000036973377,0.0000059320414,0.000020056244,0.000013257935,0.99188954,0.00476165,0.0025273454,0.00044233302,0.000005272737],"about_ca_topic_score_codex":0.0075382814,"about_ca_topic_score_gemma":0.007571492,"teacher_disagreement_score":0.0075382814,"about_ca_system_score_codex":0.0008236525,"about_ca_system_score_gemma":0.00091359246,"threshold_uncertainty_score":0.01498884},"labels":[],"label_agreement":null},{"id":"W4290034015","doi":"10.1049/rsn2.12301","title":"Two‐dimensional synthetic aperture imaging of targets behind reinforced concrete walls","year":2022,"lang":"en","type":"article","venue":"IET Radar Sonar & Navigation","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Reinforced concrete; Materials science; Geology; Composite material","score_opus":0.006414851331335447,"score_gpt":0.23275582066816616,"score_spread":0.2263409693368307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4290034015","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7930454,0.00013464782,0.20467968,0.00006530919,0.000023118626,0.000019282139,0.000072233284,0.00015409355,0.0018062396],"genre_scores_gemma":[0.9440255,0.000107646694,0.054919664,0.000013301184,0.000007514409,0.00001095347,0.00009422426,0.000019697958,0.0008015282],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998952,0.000023242834,0.0000042589686,0.000015416586,0.000046935387,0.00001485745],"domain_scores_gemma":[0.99964595,0.00015786124,0.000072358285,0.000037643626,0.00006360908,0.000022573891],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029363026,0.00040421204,0.00023536685,0.00023138706,0.00007147413,0.00036230346,0.00020159052,0.00031470667,0.00038603417],"category_scores_gemma":[0.0004909463,0.00016681447,0.00026472224,0.00017903463,0.0002957805,0.0003200434,0.00031218037,0.00019796814,0.00009641744],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037732767,0.000065496155,0.0020854552,0.00016203932,0.00005537227,0.0005084471,0.00029052616,0.23761769,0.72880304,0.003401954,0.00022263054,0.02641013],"study_design_scores_gemma":[0.000017754513,0.00013364702,0.0032258395,0.000011875373,0.000013469156,0.00032540603,0.00007299044,0.87552637,0.11959045,0.0004828104,0.00057172636,0.000027721013],"about_ca_topic_score_codex":0.00048236438,"about_ca_topic_score_gemma":0.00040795232,"teacher_disagreement_score":0.00048236438,"about_ca_system_score_codex":0.00017499244,"about_ca_system_score_gemma":0.00022655637,"threshold_uncertainty_score":0.0015528798},"labels":[],"label_agreement":null},{"id":"W4293647056","doi":"10.36227/techrxiv.20692573.v1","title":"Reconstruction of Arbitrarily Shaped Sources with Electromagnetic Time-Reversal and Kurtosis","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"National Natural Science Foundation of China","keywords":"Kurtosis; Ergodic theory; Point (geometry); Computer science; Algorithm; Physics; Acoustics; Mathematics; Mathematical analysis; Geometry; Statistics","score_opus":0.0064839095915295245,"score_gpt":0.20133869691659242,"score_spread":0.1948547873250629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293647056","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034725793,0.0000891561,0.96398544,0.0000898713,0.00002539253,0.000014672206,0.000045014207,0.00018463358,0.0008400639],"genre_scores_gemma":[0.29895556,0.0003751762,0.6980694,0.00006612452,0.00004520789,0.00003574953,0.00027082188,0.00018968253,0.001992202],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996573,0.000115999304,0.000021811198,0.00005256927,0.00012235864,0.000029923975],"domain_scores_gemma":[0.9987502,0.000567941,0.00021305731,0.00019330923,0.0002205874,0.000054912267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010116136,0.0009612697,0.0005284832,0.0010073372,0.00016714644,0.0008922691,0.00061239407,0.000724185,0.0010780591],"category_scores_gemma":[0.0047546583,0.0004447987,0.000653035,0.000905966,0.0009839446,0.0017425416,0.0011860293,0.00095696194,0.00039416243],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044811532,0.00010682304,0.0020275658,0.00033307265,0.00014947944,0.0011842707,0.00038919869,0.48548737,0.21143925,0.09469407,0.0020234543,0.20171738],"study_design_scores_gemma":[0.000025392243,0.000050680974,0.000440045,0.000017370505,0.000013906823,0.0006002645,0.00006324063,0.9398624,0.037300613,0.019763011,0.001809213,0.00005383644],"about_ca_topic_score_codex":0.0004244504,"about_ca_topic_score_gemma":0.00047094154,"teacher_disagreement_score":0.0010780591,"about_ca_system_score_codex":0.00023001824,"about_ca_system_score_gemma":0.00056885614,"threshold_uncertainty_score":0.0053499937},"labels":[],"label_agreement":null},{"id":"W4293694069","doi":"10.36227/techrxiv.20695966.v1","title":"A Single-Frequency Time-Reversal Method for Electromagnetic Source Reconstruction","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"National Natural Science Foundation of China","keywords":"Narrowband; Wideband; Computer science; Time–frequency analysis; Impulse (physics); Algorithm; Acoustics; Physics; Telecommunications; Optics","score_opus":0.015433819433328569,"score_gpt":0.2633289645121482,"score_spread":0.24789514507881966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293694069","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00137834,0.00008955387,0.99764246,0.00004544164,0.000030083367,0.000014006765,0.000016510881,0.00009135012,0.0006922128],"genre_scores_gemma":[0.035078075,0.00035478311,0.9616203,0.00005645778,0.00004140778,0.00007127158,0.00008911964,0.00009838724,0.002590336],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984264,0.000038672402,0.000010165135,0.000029069448,0.0000673688,0.000012060556],"domain_scores_gemma":[0.99969745,0.000098832745,0.000038148646,0.00006527532,0.00007879528,0.000021571776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049751595,0.00050698186,0.00043079376,0.0005427827,0.00026721213,0.0005321765,0.0007113524,0.0007615381,0.0038680641],"category_scores_gemma":[0.0011421851,0.00024397727,0.0005161202,0.00052065594,0.00044414282,0.0009871795,0.0007101843,0.0011331523,0.0013775679],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017288659,0.000105719744,0.0005768338,0.0005006575,0.00007417169,0.00038063884,0.00023543337,0.1286841,0.16645223,0.1562339,0.005954988,0.54062843],"study_design_scores_gemma":[0.0000243878,0.000055791978,0.00013636817,0.000023497621,0.0000142053905,0.000545964,0.000028196422,0.9419744,0.02817075,0.015028952,0.013957409,0.000040098665],"about_ca_topic_score_codex":0.00053194375,"about_ca_topic_score_gemma":0.00070800964,"teacher_disagreement_score":0.0038680641,"about_ca_system_score_codex":0.00018307762,"about_ca_system_score_gemma":0.00061246735,"threshold_uncertainty_score":0.01293999},"labels":[],"label_agreement":null},{"id":"W4293695656","doi":"10.36227/techrxiv.20692573","title":"Reconstruction of Arbitrarily Shaped Sources with Electromagnetic Time-Reversal and Kurtosis","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"National Natural Science Foundation of China","keywords":"Kurtosis; Ergodic theory; Point (geometry); Computer science; Algorithm; Acoustics; Physics; Mathematics; Mathematical analysis; Geometry; Statistics","score_opus":0.0064839095915295245,"score_gpt":0.20133869691659242,"score_spread":0.1948547873250629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293695656","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035062857,0.0000972438,0.96333426,0.00012125905,0.000032147396,0.000016138956,0.00005665055,0.00021991042,0.0010595251],"genre_scores_gemma":[0.29195806,0.0003755665,0.70435095,0.000085330874,0.00005185134,0.00003741482,0.00028647634,0.00021981899,0.0026344403],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969935,0.00009796473,0.000019012532,0.000048208592,0.00010960277,0.00002574538],"domain_scores_gemma":[0.9989203,0.00048078873,0.00018464855,0.00017276128,0.00019062533,0.00005083529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088643434,0.00090034417,0.0005118433,0.00086900586,0.00016044175,0.00087014184,0.00058028084,0.0007169563,0.0012778954],"category_scores_gemma":[0.0040344815,0.00046618923,0.0006741298,0.00081607956,0.00094136846,0.0015790549,0.0011468186,0.0009390666,0.00041907383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003836355,0.00009659018,0.001744898,0.0002673559,0.00012958495,0.0011124277,0.00034701196,0.52741843,0.19035538,0.08431683,0.0022548682,0.19157296],"study_design_scores_gemma":[0.000019449511,0.000038422175,0.0003511068,0.00001374834,0.000009491472,0.000443334,0.000050448674,0.9536082,0.028909292,0.014958051,0.0015550383,0.000043390795],"about_ca_topic_score_codex":0.00050991273,"about_ca_topic_score_gemma":0.00053766725,"teacher_disagreement_score":0.0012778954,"about_ca_system_score_codex":0.00025198917,"about_ca_system_score_gemma":0.00050677697,"threshold_uncertainty_score":0.0046880245},"labels":[],"label_agreement":null},{"id":"W4293704200","doi":"10.1002/nsg.12235","title":"The effects of receiver arrangement on velocity analysis with multi‐concurrent receiver GPR data","year":2022,"lang":"en","type":"article","venue":"Near Surface Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Amgen (Canada)","funders":"Northumbria University","keywords":"Ground-penetrating radar; Geology; Offset (computer science); Transducer; Refraction; Radar; Acoustics; Reflection (computer programming); Remote sensing; Geophone; Computer science; Seismology; Optics; Telecommunications; Physics","score_opus":0.019803146585652246,"score_gpt":0.25568461543985543,"score_spread":0.2358814688542032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293704200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.946311,0.0002447587,0.052168492,0.000060499002,0.000048290898,0.00003150772,0.00007891189,0.00038350013,0.0006730194],"genre_scores_gemma":[0.96074265,0.00012415051,0.038519137,0.000029328277,0.000015304518,0.000019855577,0.00011262487,0.000077753815,0.0003592168],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99842983,0.0005334661,0.00012708343,0.00031913933,0.0004382909,0.0001521705],"domain_scores_gemma":[0.99133927,0.0048879697,0.00097149855,0.0010861357,0.0015228122,0.0001922837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013700266,0.0007190566,0.0006267187,0.00068637583,0.00030950553,0.0008536071,0.00088086806,0.00078908884,0.0010900343],"category_scores_gemma":[0.0069792476,0.0006624423,0.00032358145,0.00085960596,0.0003568327,0.0012302586,0.0007947528,0.00048749914,0.00045150812],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003499781,0.0005392757,0.029987784,0.00041079923,0.00014460973,0.00047116217,0.00036762733,0.16580383,0.6745475,0.00035738994,0.0003981574,0.12347215],"study_design_scores_gemma":[0.00011301888,0.0032805551,0.039380867,0.000060236503,0.0003726109,0.0006234728,0.0005027415,0.4241862,0.52891237,0.00024977533,0.0021637839,0.00015442076],"about_ca_topic_score_codex":0.0011157824,"about_ca_topic_score_gemma":0.0016457378,"teacher_disagreement_score":0.0013700266,"about_ca_system_score_codex":0.0002967171,"about_ca_system_score_gemma":0.0002647965,"threshold_uncertainty_score":0.007245481},"labels":[],"label_agreement":null},{"id":"W4293704848","doi":"10.36227/techrxiv.20695966","title":"A Single-Frequency Time-Reversal Method for Electromagnetic Source Reconstruction","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"National Natural Science Foundation of China","keywords":"Narrowband; Wideband; Time–frequency analysis; Computer science; Impulse (physics); Time domain; Acoustics; Algorithm; Physics; Telecommunications; Optics","score_opus":0.015433819433328569,"score_gpt":0.2633289645121482,"score_spread":0.24789514507881966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293704848","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015626301,0.000092075585,0.9972404,0.00006166665,0.000033215085,0.000013749262,0.000018692503,0.00010762232,0.00086998014],"genre_scores_gemma":[0.0434667,0.00035091545,0.9514965,0.000075244716,0.000047128273,0.000068848145,0.00011596512,0.00012945176,0.00424941],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99985826,0.000037318947,0.000009043993,0.000025904594,0.00005857789,0.000010900818],"domain_scores_gemma":[0.9997048,0.0000985263,0.000036753376,0.000064935666,0.000073398136,0.000021674836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045436897,0.00047025408,0.0004143076,0.00048013704,0.0002527471,0.00055604253,0.0006896697,0.0007824987,0.004419404],"category_scores_gemma":[0.001127363,0.00026975496,0.00051973865,0.00047487626,0.00044249298,0.0009654192,0.00073101034,0.0011664074,0.0013673767],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019277804,0.00010268453,0.0006183124,0.0004191013,0.000076969154,0.00039302683,0.00023522101,0.16323516,0.1419306,0.1604052,0.0071447743,0.5252462],"study_design_scores_gemma":[0.000018681474,0.000038348717,0.00010530717,0.0000152571065,0.000009556791,0.0003405878,0.000021831338,0.9591969,0.018279877,0.012304931,0.009642067,0.000026606634],"about_ca_topic_score_codex":0.0006960651,"about_ca_topic_score_gemma":0.00078188936,"teacher_disagreement_score":0.004419404,"about_ca_system_score_codex":0.00019661935,"about_ca_system_score_gemma":0.0005541135,"threshold_uncertainty_score":0.014784396},"labels":[],"label_agreement":null},{"id":"W4294103975","doi":"","title":"A proposed geophysical investigation of debris-flow origin at Eskimo Lakes, Tuktoyaktuk Coastlands, Canada","year":2011,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dawson College","funders":"","keywords":"Debris flow; Debris; Geology; Geophysics; Oceanography","score_opus":0.015349587452947297,"score_gpt":0.2073077626745966,"score_spread":0.19195817522164932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294103975","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98878866,0.0001957788,0.0013840778,0.00016162609,0.000012557902,0.00006741652,0.0012852218,0.00005788094,0.008046706],"genre_scores_gemma":[0.994852,0.00016068724,0.0021828876,0.000014373947,0.0000033857796,0.000017783037,0.00043261235,0.00000532601,0.0023308904],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998963,0.000004219205,0.0000043401988,0.000016987884,0.000027622644,0.000050606875],"domain_scores_gemma":[0.99983037,0.000007514719,0.00001372595,0.0000046890177,0.00011303907,0.000030742984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000961091,0.00031254848,0.0001480536,0.0019348244,0.0017306043,0.0014543968,0.00065967214,0.00043493224,0.0015435537],"category_scores_gemma":[0.0003570457,0.00018896873,0.00019795813,0.0027664052,0.00051757996,0.00035416565,0.0005792685,0.0002161752,0.00020750842],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020707845,0.00007236476,0.92741156,0.00013947357,0.000040231218,0.001673939,0.0022701449,0.013170727,0.018771855,0.0024371108,0.0018478681,0.031957682],"study_design_scores_gemma":[0.000026462229,0.000026626823,0.9569871,0.000052740375,0.000038261605,0.00021567513,0.005729745,0.030051703,0.0026147724,0.0003408708,0.0038875134,0.000028455965],"about_ca_topic_score_codex":0.90923655,"about_ca_topic_score_gemma":0.94228154,"teacher_disagreement_score":0.09076345,"about_ca_system_score_codex":0.004038062,"about_ca_system_score_gemma":0.009789888,"threshold_uncertainty_score":0.18259591},"labels":[],"label_agreement":null},{"id":"W4296010524","doi":"10.1007/978-3-031-09409-5_8","title":"Three-Dimensional CT Imaging Analysis of Concrete: Effects of Water and Sand Contents on Pore Characteristics","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Porosity; Surface-area-to-volume ratio; Materials science; Volume (thermodynamics); Water–cement ratio; Composite material; Aspect ratio (aeronautics); Cement; Mineralogy; Chemistry; Geology","score_opus":0.006803376793000505,"score_gpt":0.2063794343625982,"score_spread":0.1995760575695977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296010524","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79827255,0.0015395705,0.19307023,0.00014875992,0.000028741286,0.00005477124,0.0006853916,0.00047407142,0.005725872],"genre_scores_gemma":[0.96454483,0.0012564249,0.029232766,0.00003704761,0.00001195872,0.000021629101,0.0003985558,0.00011022833,0.0043866048],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999198,0.000009318386,0.0000046809428,0.000011151499,0.000047377896,0.000007750325],"domain_scores_gemma":[0.99949443,0.00030271764,0.00005988424,0.000024519462,0.00009617746,0.00002217402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017392564,0.00034279324,0.00020851278,0.00047831546,0.00013514461,0.00054843555,0.0002860427,0.00038380935,0.001681526],"category_scores_gemma":[0.0008024433,0.00024607443,0.00027892625,0.0004964056,0.00030608955,0.0003630861,0.00018412048,0.00024132367,0.00029164186],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037717388,0.000102967184,0.0043555936,0.00016117003,0.000024017505,0.00031654845,0.00012424265,0.083301604,0.85498303,0.0006555353,0.0004492762,0.055148683],"study_design_scores_gemma":[0.000014563263,0.00024019546,0.03919941,0.00003945961,0.00008028639,0.0013393366,0.0001438161,0.40280497,0.5539035,0.00067112595,0.0014997576,0.000063511034],"about_ca_topic_score_codex":0.0026852065,"about_ca_topic_score_gemma":0.0042051063,"teacher_disagreement_score":0.0026852065,"about_ca_system_score_codex":0.00021757596,"about_ca_system_score_gemma":0.0003899985,"threshold_uncertainty_score":0.0056253076},"labels":[],"label_agreement":null},{"id":"W4296046659","doi":"10.1029/2022je007200","title":"Determination of Broadband Complex EM Parameters of Powdered Materials: 2. Ilmenite‐Bearing Lunar Analogue Materials","year":2022,"lang":"en","type":"article","venue":"Journal of Geophysical Research Planets","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of Toronto","funders":"Canadian Space Agency","keywords":"Ilmenite; Radar; Dissipation factor; Attenuation; Microwave; Materials science; Mineralogy; Dielectric; Geology; Physics; Optics; Computer science; Telecommunications; Optoelectronics","score_opus":0.0846112872278392,"score_gpt":0.3522113461944461,"score_spread":0.2676000589666069,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296046659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921819,0.00015071203,0.0062859957,0.000015313395,0.000002101837,0.0000071781196,0.00015414266,0.000057325236,0.0011454108],"genre_scores_gemma":[0.9978436,0.000036956848,0.0018654878,0.0000062272616,9.920942e-7,0.0000038725507,0.00007447099,0.000007549229,0.00016086978],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998752,0.000022291744,0.000006049699,0.000046634486,0.000037129725,0.000012556004],"domain_scores_gemma":[0.9997948,0.000085887696,0.00003609136,0.000038553015,0.000038076832,0.0000067009023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018625737,0.00019716959,0.00015476218,0.00056767184,0.00014111151,0.00030104053,0.00025953632,0.00023748942,0.00088121434],"category_scores_gemma":[0.0006366856,0.00012304045,0.000094745345,0.0004057975,0.00028685434,0.00026877763,0.00016075844,0.00019976894,0.0001738522],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018956051,0.000039331582,0.010935363,0.00008268358,0.000021449998,0.0000777116,0.0000996859,0.0015072541,0.97716904,0.00024799196,0.00007805631,0.009551885],"study_design_scores_gemma":[0.000013798962,0.00020318931,0.047791187,0.000009173682,0.000037941052,0.0002931744,0.0001288833,0.00740213,0.9417874,0.00015958506,0.0021604947,0.000013023568],"about_ca_topic_score_codex":0.0004083955,"about_ca_topic_score_gemma":0.0005161463,"teacher_disagreement_score":0.00088121434,"about_ca_system_score_codex":0.00012206723,"about_ca_system_score_gemma":0.00003907192,"threshold_uncertainty_score":0.0029479861},"labels":[],"label_agreement":null},{"id":"W4296913064","doi":"10.1109/ap-s/usnc-ursi47032.2022.9886304","title":"Polarization Effect on Feature Extraction and Object Classification by Deep Learning","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; Université du Québec; University of Alberta","funders":"","keywords":"Feature extraction; Artificial intelligence; Computer science; Pattern recognition (psychology); Convolutional neural network; Deep learning; Feature (linguistics); Polarization (electrochemistry); Ground-penetrating radar; Radar; Radar imaging; Computer vision; Telecommunications","score_opus":0.009028733946563207,"score_gpt":0.2628390771510115,"score_spread":0.2538103432044483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296913064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6100259,0.00080906326,0.38327616,0.00039981084,0.00012350801,0.00002923192,0.00024781437,0.0015267022,0.0035618155],"genre_scores_gemma":[0.960102,0.00026850917,0.0375262,0.000106639076,0.000015845799,0.000016239836,0.0004733405,0.000089193636,0.0014020315],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951017,0.0000794828,0.000023302762,0.00008260712,0.00018154607,0.00012285603],"domain_scores_gemma":[0.99925,0.0004025149,0.00006880369,0.00009295734,0.00016563128,0.000020046497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008408533,0.00074492855,0.0003384368,0.00038170416,0.00020134599,0.00054525194,0.00034156244,0.0005604108,0.0010995017],"category_scores_gemma":[0.0022630135,0.0001775876,0.00035525567,0.0004542157,0.00036467367,0.0011690564,0.00073489384,0.0007386463,0.0004380097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00078040746,0.0003288089,0.011401015,0.000139191,0.0001245818,0.00040149008,0.0001253983,0.15155652,0.23325008,0.0016095651,0.0018775525,0.5984055],"study_design_scores_gemma":[0.00001020768,0.00017333828,0.0089460835,0.000013852397,0.000036510373,0.00022836117,0.000058317095,0.8404001,0.1475033,0.0012945447,0.0013117826,0.000023616341],"about_ca_topic_score_codex":0.0014100657,"about_ca_topic_score_gemma":0.000936459,"teacher_disagreement_score":0.0014100657,"about_ca_system_score_codex":0.00028750076,"about_ca_system_score_gemma":0.00022148226,"threshold_uncertainty_score":0.0044469237},"labels":[],"label_agreement":null},{"id":"W4297804945","doi":"10.1002/essoar.10512379.1","title":"An analytical method to estimate groundwater depletion of an aquitard due to variable drawdowns in adjacent aquifers","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Chengdu University; State Key Laboratory of Geohazard Prevention and Geoenvironment Protection; Chengdu University of Technology; China Scholarship Council; University of Waterloo; National Natural Science Foundation of China","keywords":"Aquifer; Drawdown (hydrology); Hydrogeology; Groundwater; Specific storage; Geology; Aquifer test; Cone of depression; Soil science; Water table; Hydrology (agriculture); Groundwater flow; Environmental science; Groundwater recharge; Geotechnical engineering","score_opus":0.02373460621084171,"score_gpt":0.35920663047346585,"score_spread":0.3354720242626241,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297804945","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1147978,0.00019723173,0.8820187,0.000067318484,0.00001888389,0.00006163651,0.00017598119,0.0008835276,0.001778942],"genre_scores_gemma":[0.9009633,0.00020956312,0.09696701,0.000023134542,0.000014298496,0.00013058874,0.00015102343,0.000046143254,0.001494929],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998425,0.000020008674,0.000014692028,0.00004571818,0.000058460726,0.000018701001],"domain_scores_gemma":[0.9997453,0.000070675036,0.00005671928,0.000021389582,0.00009427028,0.000011639001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024558412,0.0006325382,0.00038830368,0.0012331178,0.0003464197,0.00040637897,0.00079402036,0.00042156907,0.0006877184],"category_scores_gemma":[0.0010691101,0.00038549412,0.00045893414,0.0008337994,0.00036092228,0.00061261386,0.00052927487,0.00028848046,0.00013928952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006081474,0.000036127436,0.011622593,0.00016572849,0.00004018785,0.00028014425,0.00021174306,0.85879505,0.02664076,0.003567895,0.00057947263,0.09799944],"study_design_scores_gemma":[0.0000034217471,0.00001064683,0.0013323493,0.00000460717,0.000008458614,0.000030688363,0.000023847004,0.9956345,0.0019904133,0.0005942262,0.00035842304,0.000008421274],"about_ca_topic_score_codex":0.010865864,"about_ca_topic_score_gemma":0.0072959918,"teacher_disagreement_score":0.010865864,"about_ca_system_score_codex":0.0005510148,"about_ca_system_score_gemma":0.0008177867,"threshold_uncertainty_score":0.021605253},"labels":[],"label_agreement":null},{"id":"W4306147558","doi":"10.1190/gpr2022-034.1","title":"Insights gained after five years of continuous GPR use in potash mines","year":2022,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Nutrasource","funders":"","keywords":"Potash; Ground-penetrating radar; Mining engineering; Geology; Computer science; Metallurgy; Materials science; Radar; Telecommunications; Potassium","score_opus":0.009608674299366649,"score_gpt":0.2181895928215432,"score_spread":0.20858091852217656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306147558","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99168277,0.0006559202,0.0014597873,0.00042828062,0.0000433563,0.00003654701,0.00030744763,0.000028658433,0.0053572007],"genre_scores_gemma":[0.9940446,0.0010271742,0.0014861427,0.00022409704,0.000025037349,0.000013799854,0.00042181546,0.000025685269,0.0027316783],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99848723,0.00034381554,0.00007903874,0.00020519535,0.000588867,0.00029588141],"domain_scores_gemma":[0.99764544,0.0007746242,0.00028671758,0.00013349662,0.0010143963,0.00014537778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002006265,0.00039956014,0.00045954244,0.0009780863,0.0008688283,0.0017393867,0.00075326057,0.0011457916,0.00085141056],"category_scores_gemma":[0.0036202439,0.00022477891,0.00033694206,0.0011127653,0.0008863237,0.0012795938,0.0010810832,0.0009788722,0.00050111406],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018953461,0.0013139432,0.41331977,0.0016535618,0.00023818467,0.01714769,0.12013707,0.0034568289,0.077082895,0.002079005,0.009731355,0.35194433],"study_design_scores_gemma":[0.00002305763,0.0029971867,0.77253336,0.00054299633,0.00025563067,0.0062517365,0.13258176,0.003768437,0.023883417,0.0008311005,0.056117106,0.00021425678],"about_ca_topic_score_codex":0.009693478,"about_ca_topic_score_gemma":0.022209961,"teacher_disagreement_score":0.009693478,"about_ca_system_score_codex":0.0011592711,"about_ca_system_score_gemma":0.00048624424,"threshold_uncertainty_score":0.019274116},"labels":[],"label_agreement":null},{"id":"W4306639120","doi":"10.1139/cjes-2021-0062","title":"Constraining the lithostratigraphic architecture of a buried bedrock valley using surface electrical resistivity and seismic refraction tomography","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Earth Sciences","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Waterloo; Brock University; University of Guelph","funders":"","keywords":"Bedrock; Geology; Electrical resistivity tomography; Lithology; Geomorphology; Aquifer; Seismic refraction; Groundwater; Geophysics; Paleontology; Electrical resistivity and conductivity; Geotechnical engineering","score_opus":0.02223565414314995,"score_gpt":0.24746098243098816,"score_spread":0.2252253282878382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306639120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99636215,0.00003612885,0.0023316995,0.000008451116,7.543338e-7,0.000010682386,0.00019673313,0.000024802828,0.0010286788],"genre_scores_gemma":[0.99756265,0.000038453443,0.0020375373,0.0000029147832,3.598458e-7,0.0000038590897,0.00012623992,0.0000034671227,0.00022466399],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999938,0.000006494119,0.0000027952362,0.000013959876,0.000020812875,0.000017911012],"domain_scores_gemma":[0.99987745,0.000023332723,0.000028022214,0.00001252974,0.00004177333,0.000016976404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000090576505,0.0001612537,0.000091461196,0.0004529147,0.00021684448,0.00059702346,0.00020831187,0.000117567215,0.00038405752],"category_scores_gemma":[0.0003959264,0.00011934316,0.00007818392,0.00055253715,0.00024764336,0.00018606834,0.00022237416,0.00010202036,0.00006567123],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009920495,0.000040395793,0.8533388,0.00005249521,0.000033058368,0.00044047405,0.0012527514,0.016685054,0.06941328,0.00045360165,0.00025932636,0.05793162],"study_design_scores_gemma":[0.000008059065,0.000039236224,0.96775746,0.000016983202,0.000013638567,0.00015605551,0.0010844612,0.027747246,0.002145998,0.00013773651,0.00088086736,0.00001226773],"about_ca_topic_score_codex":0.26702678,"about_ca_topic_score_gemma":0.63313043,"teacher_disagreement_score":0.7329732,"about_ca_system_score_codex":0.00075148715,"about_ca_system_score_gemma":0.0012293017,"threshold_uncertainty_score":0.53094506},"labels":[],"label_agreement":null},{"id":"W4309698238","doi":"10.31219/osf.io/af7dn","title":"Regulation relevant to (long-form) recordings gathered in Israel","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"Legislation; Political science; Subject (documents); Law; Computer science; Library science","score_opus":0.02115941670823307,"score_gpt":0.2779000256568897,"score_spread":0.25674060894865663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309698238","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033379763,0.0038514019,0.10606655,0.015308201,0.0021013946,0.0024915703,0.011934528,0.002687917,0.8221788],"genre_scores_gemma":[0.37537882,0.010068287,0.110959835,0.018927896,0.0035066507,0.00955984,0.03148844,0.0026290603,0.43748114],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.98386335,0.0026513825,0.0013384782,0.0018853097,0.009131599,0.0011298688],"domain_scores_gemma":[0.98452306,0.0061504403,0.0011247497,0.0026732057,0.0052489033,0.00027972346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013166591,0.000493087,0.00041788645,0.0017462749,0.0028926025,0.0061069145,0.0019060966,0.004083642,0.02114478],"category_scores_gemma":[0.017581595,0.00037452183,0.00037887765,0.0021116533,0.0033870088,0.0023564433,0.0030937584,0.0026120152,0.014038466],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004967965,0.00031629452,0.011990834,0.0012651269,0.000057711346,0.0023638455,0.0146824755,0.0017251893,0.04594153,0.2773991,0.31059337,0.33316785],"study_design_scores_gemma":[0.000057258032,0.00006850445,0.011768445,0.0010817036,0.00003223705,0.0007897883,0.0020743182,0.0009815126,0.01610522,0.014008721,0.9529552,0.00007715072],"about_ca_topic_score_codex":0.011727401,"about_ca_topic_score_gemma":0.011790942,"teacher_disagreement_score":0.02114478,"about_ca_system_score_codex":0.0029309914,"about_ca_system_score_gemma":0.005882789,"threshold_uncertainty_score":0.07073635},"labels":[],"label_agreement":null},{"id":"W4309788326","doi":"10.3390/electronics11223804","title":"Improved Metallic Enclosure Electromagnetic Imaging Using Ferrite Loaded Antennas","year":2022,"lang":"en","type":"article","venue":"Electronics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Research Chairs","keywords":"Enclosure; Acoustics; Bin; Loop antenna; Electromagnetic shielding; Materials science; Antenna (radio); Ferrite core; Shielded cable; Electrical engineering; Radiation pattern; Engineering; Electromagnetic coil; Physics; Mechanical engineering; Antenna factor","score_opus":0.010085175384310885,"score_gpt":0.23813440062350277,"score_spread":0.22804922523919188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309788326","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50513023,0.00023099629,0.48734784,0.00015698955,0.000048829166,0.00003659644,0.00008973387,0.002273556,0.0046851486],"genre_scores_gemma":[0.79257655,0.00009310376,0.20256016,0.00010451996,0.000016857457,0.000029924517,0.00015458485,0.00012621566,0.0043381713],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99982965,0.000026019603,0.0000068275062,0.000051696046,0.00006298116,0.00002289703],"domain_scores_gemma":[0.9996201,0.00008549256,0.00011343674,0.000073742005,0.000085299056,0.00002195241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016097211,0.00040906685,0.0003142414,0.00021527102,0.00007580913,0.0004812888,0.000559211,0.00046973152,0.000645849],"category_scores_gemma":[0.00044833357,0.00019897244,0.00019715852,0.0002610713,0.00024465815,0.0006404332,0.0002824972,0.00024141133,0.00043949173],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022288226,0.00005879139,0.0010302803,0.00006507129,0.000015778041,0.00015756005,0.000079329824,0.006431479,0.9578181,0.0007534349,0.00042764406,0.032939788],"study_design_scores_gemma":[0.00002761834,0.00043724952,0.003914037,0.000009698085,0.000028720775,0.0005096711,0.000035632966,0.067742445,0.9188424,0.00030208923,0.008108108,0.000042439347],"about_ca_topic_score_codex":0.00025290836,"about_ca_topic_score_gemma":0.00046580523,"teacher_disagreement_score":0.000645849,"about_ca_system_score_codex":0.00034453493,"about_ca_system_score_gemma":0.00011928456,"threshold_uncertainty_score":0.0024997592},"labels":[],"label_agreement":null},{"id":"W4311162637","doi":"10.18280/ts.390531","title":"Application of Signal Imaging Analysis Technology in Prediction and Treatment of Water Inrush in Diversion Tunnel","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Inrush current; Geology; Ground-penetrating radar; Radar; SIGNAL (programming language); Lithology; Geologic map; Mining engineering; Overburden; Reflection (computer programming); Remote sensing; Geotechnical engineering; Engineering; Computer science; Geomorphology; Petrology","score_opus":0.0065741077517999374,"score_gpt":0.2101424659972522,"score_spread":0.20356835824545227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311162637","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2556021,0.00030901394,0.74135077,0.00023985126,0.00005166634,0.00007586381,0.00006416112,0.00067936373,0.0016272644],"genre_scores_gemma":[0.8964162,0.00032327173,0.10238023,0.000052050415,0.000026615115,0.000048089623,0.00006528304,0.000022604698,0.0006656356],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997718,0.000048873153,0.000016753731,0.000053498403,0.000075406,0.000033603515],"domain_scores_gemma":[0.99972945,0.00008358748,0.000046007175,0.0000134158445,0.00011085239,0.00001668174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043694107,0.0006794844,0.00033936146,0.0009890599,0.00024626852,0.0005499052,0.00034327744,0.0005871987,0.0004900528],"category_scores_gemma":[0.0009232817,0.00022839101,0.00044917752,0.0004383422,0.00028001817,0.0008069948,0.00030221554,0.00034724732,0.00013443694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036263384,0.00020949423,0.033076484,0.00028694604,0.00009392103,0.00084029493,0.00046290588,0.4235195,0.13988067,0.0030541143,0.0014611545,0.3967519],"study_design_scores_gemma":[0.000008977454,0.00013220725,0.004225362,0.000007890891,0.000026051155,0.00005980294,0.000103592574,0.98262817,0.011992415,0.00042455702,0.0003729299,0.000017992508],"about_ca_topic_score_codex":0.003028929,"about_ca_topic_score_gemma":0.001705414,"teacher_disagreement_score":0.003028929,"about_ca_system_score_codex":0.00024064012,"about_ca_system_score_gemma":0.000575909,"threshold_uncertainty_score":0.0060225725},"labels":[],"label_agreement":null},{"id":"W4311162843","doi":"10.18280/ts.390534","title":"Investigating Transfer Learning Performances of Deep Learning Models for Classification of GPR B-Scan Images","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ground-penetrating radar; Computer science; Artificial intelligence; Deep learning; Convolutional neural network; Transfer of learning; Pattern recognition (psychology); Focus (optics); Machine learning; Contextual image classification; Image (mathematics); Radar","score_opus":0.03806492490258182,"score_gpt":0.25339744787607105,"score_spread":0.21533252297348923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311162843","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9119871,0.0030920606,0.075843304,0.0005680286,0.00031199038,0.00017699825,0.0006433532,0.002106114,0.0052709724],"genre_scores_gemma":[0.980459,0.00053028227,0.0154907,0.000081079736,0.00003474429,0.00005887026,0.0010761304,0.000050899984,0.0022183573],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946064,0.00011668785,0.000046324873,0.00013511612,0.00012276701,0.00011849197],"domain_scores_gemma":[0.9987343,0.0005568083,0.00008885246,0.00015595192,0.00040769475,0.00005648776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023471476,0.001700682,0.0006024773,0.0009866792,0.00026508444,0.00073378684,0.0009141262,0.0011773305,0.0011500305],"category_scores_gemma":[0.0053331107,0.00028460883,0.00066127727,0.00061034795,0.00038624436,0.0013188582,0.0008146484,0.0011916545,0.0005200328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009284493,0.0005708259,0.008030938,0.00031599324,0.00021199514,0.00016257874,0.0001011689,0.73361105,0.012256853,0.0009714396,0.0028596781,0.23997909],"study_design_scores_gemma":[0.000008615474,0.00021209817,0.0012713458,0.000013579144,0.000020849004,0.00001621577,0.00002721054,0.99154973,0.006326689,0.00031192473,0.000232279,0.00000943391],"about_ca_topic_score_codex":0.01406858,"about_ca_topic_score_gemma":0.0061885393,"teacher_disagreement_score":0.01406858,"about_ca_system_score_codex":0.00096681184,"about_ca_system_score_gemma":0.0005769039,"threshold_uncertainty_score":0.027973354},"labels":[],"label_agreement":null},{"id":"W4311843901","doi":"10.1139/dsa-2022-0037","title":"Microdrones in field-based structural geology: a photogrammetry and fracture quantification case study from the North Mountain Basalt, Nova Scotia, Canada","year":2022,"lang":"en","type":"article","venue":"Drone Systems and Applications","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Toronto; McMaster University","funders":"","keywords":"Photogrammetry; Nova scotia; Geology; Software deployment; Basalt; Drone; Resource (disambiguation); Terrain; Outcrop; Remote sensing; Earth science; Geography; Geomorphology; Seismology; Cartography; Computer science; Oceanography","score_opus":0.010641705967338074,"score_gpt":0.2399768442858483,"score_spread":0.22933513831851024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311843901","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9853638,0.00034447634,0.0017078758,0.00024334452,0.000016826425,0.00022423979,0.0025406708,0.000051490475,0.009507206],"genre_scores_gemma":[0.98987854,0.00033776328,0.0043130456,0.000074233125,0.0000059405274,0.00004941466,0.0010507031,0.000020539657,0.0042699636],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99951196,0.000025752535,0.00001565978,0.000082322564,0.00024020091,0.00012410758],"domain_scores_gemma":[0.9995115,0.000059790535,0.00004848699,0.000035601235,0.00026277342,0.00008189765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028221027,0.000343167,0.00023164798,0.0016193105,0.0020688884,0.0008962529,0.00079671666,0.00045304833,0.0012649279],"category_scores_gemma":[0.00069816323,0.0002606003,0.00021166426,0.0026032089,0.0010292807,0.00021698634,0.0006390796,0.0004194983,0.00023188708],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027232687,0.00040428303,0.829178,0.0003870527,0.00010270018,0.01367355,0.013181382,0.016375966,0.017535172,0.0015825016,0.0060679624,0.101239204],"study_design_scores_gemma":[0.000016813485,0.00007830522,0.96060234,0.0001268365,0.000030985073,0.000932669,0.016352171,0.0075629624,0.0018032328,0.00017848235,0.012271762,0.00004340543],"about_ca_topic_score_codex":0.9769331,"about_ca_topic_score_gemma":0.9962649,"teacher_disagreement_score":0.023066878,"about_ca_system_score_codex":0.008495375,"about_ca_system_score_gemma":0.011266657,"threshold_uncertainty_score":0.061638534},"labels":[],"label_agreement":null},{"id":"W4312477139","doi":"10.1109/igarss46834.2022.9884013","title":"Diffraction Suppression for Ground Penetrating Radar Data Using F-X Domain Variational Mode Decomposition","year":2022,"lang":"en","type":"article","venue":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Natural Resources","keywords":"Ground-penetrating radar; Geology; Diffraction; Radar; Frequency domain; Interference (communication); Filter (signal processing); Surface wave; Time domain; Seismology; Optics; Physics; Computer science; Telecommunications","score_opus":0.030954689806381615,"score_gpt":0.3376482232542959,"score_spread":0.3066935334479143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312477139","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039424226,0.00009820005,0.95984197,0.000041425083,0.000013065996,0.000012132304,0.000035979345,0.00010974802,0.0004233494],"genre_scores_gemma":[0.38617852,0.00033816695,0.6111783,0.000072327,0.00003127111,0.00005289452,0.00040886507,0.00008260869,0.0016569849],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997708,0.0000634967,0.0000134586135,0.00003299605,0.00009006808,0.000029073626],"domain_scores_gemma":[0.99968886,0.00014739454,0.000034551806,0.00003595685,0.00007881821,0.000014421122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006323137,0.00051847764,0.00032855515,0.00030019306,0.00016030551,0.0003833824,0.00040688078,0.000404667,0.00066722033],"category_scores_gemma":[0.0011258202,0.00019481109,0.0004940708,0.000367937,0.00026440088,0.00055639533,0.00043263892,0.00047356938,0.00018595092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051244296,0.00018284687,0.0038501571,0.00022818572,0.0001286989,0.00018101728,0.00020508286,0.30245864,0.26343682,0.020723479,0.0016040812,0.40648863],"study_design_scores_gemma":[0.000008327427,0.00003325077,0.0004549432,0.0000033179135,0.000006271633,0.000031432988,0.0000117717,0.9870228,0.011078086,0.0007568202,0.0005867342,0.0000062353965],"about_ca_topic_score_codex":0.0021924628,"about_ca_topic_score_gemma":0.0020202845,"teacher_disagreement_score":0.0021924628,"about_ca_system_score_codex":0.00021323493,"about_ca_system_score_gemma":0.0005466239,"threshold_uncertainty_score":0.0043593645},"labels":[],"label_agreement":null},{"id":"W4313116892","doi":"10.1109/jrfid.2022.3226952","title":"Dielectric Waveguide Filled With Particulate Media for Ultrahigh Frequency (UHF) Radio Frequency Identification (RFID) Applications","year":2022,"lang":"en","type":"article","venue":"IEEE Journal of Radio Frequency Identification","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"Natural Resources Canada","keywords":"Ultra high frequency; Radio-frequency identification; Transponder (aeronautics); SIGNAL (programming language); Transmission (telecommunications); Wireless; Electrical engineering; Radio frequency; Waveguide; Electronic engineering; Dielectric; Computer science; Acoustics; Materials science; Telecommunications; Engineering; Optoelectronics; Physics","score_opus":0.014261095061625297,"score_gpt":0.24484992008811932,"score_spread":0.23058882502649403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313116892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56913894,0.0046538827,0.41944796,0.00018571792,0.00046228248,0.00015785593,0.00023518715,0.00075459364,0.0049635633],"genre_scores_gemma":[0.78935623,0.0034506998,0.2021164,0.00011296043,0.00004192678,0.00018907625,0.00028882863,0.00010070995,0.0043431153],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99982834,0.000025992387,0.000013484171,0.000043053325,0.000072576484,0.000016548825],"domain_scores_gemma":[0.9996891,0.00009238348,0.00010269986,0.00003958689,0.00006291877,0.000013269814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034356653,0.0005583591,0.0002343833,0.00034841173,0.00021158677,0.00045780136,0.0003726949,0.00050792744,0.0005367704],"category_scores_gemma":[0.0004612349,0.00028192974,0.00046933003,0.00032947166,0.00033236528,0.00070119783,0.00028477603,0.0005335634,0.0005016343],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042249747,0.000035773453,0.0004262506,0.00021703358,0.000009527391,0.00013330905,0.000047644997,0.0009055415,0.9886341,0.0011826381,0.00013274247,0.008233216],"study_design_scores_gemma":[0.0000074942336,0.00025133247,0.000820787,0.000024583052,0.000025318524,0.00026776842,0.000060781815,0.006534823,0.9846464,0.00021346082,0.0071347095,0.000012476775],"about_ca_topic_score_codex":0.0002505042,"about_ca_topic_score_gemma":0.000685361,"teacher_disagreement_score":0.0005583591,"about_ca_system_score_codex":0.00027211258,"about_ca_system_score_gemma":0.00023962036,"threshold_uncertainty_score":0.0019742846},"labels":[],"label_agreement":null},{"id":"W4313583469","doi":"10.3390/heritage6010024","title":"Investigations at the Heereskraftfahrpark (HKP) 562 Forced-Labor Camp in Vilnius, Lithuania","year":2023,"lang":"en","type":"article","venue":"Heritage","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BGC Engineering (Canada)","funders":"","keywords":"Trench; The Holocaust; Geology; Shot (pellet); Genocide; Archaeology; Ground-penetrating radar; Principal (computer security); Judaism; Electrical resistivity tomography; Seismology; History; Law; Radar; Political science; Engineering; Telecommunications; Computer security","score_opus":0.01885798857501523,"score_gpt":0.25416863555731767,"score_spread":0.23531064698230245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313583469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99646205,0.00012440293,0.00005352754,0.00009260485,0.0000059762287,0.000019726604,0.000075230804,0.0000030267197,0.0031635466],"genre_scores_gemma":[0.9947626,0.00015586076,0.00023560165,0.00006188578,0.000006110092,0.000024447756,0.00009480473,0.000003337349,0.004655309],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981254,0.000038019232,0.000004569774,0.00001907684,0.00002898945,0.000096939795],"domain_scores_gemma":[0.99990773,0.000016471033,0.000021202013,0.000007949208,0.000017662955,0.00002901741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020721916,0.00023100089,0.00023786674,0.00085099373,0.0028129967,0.00092689425,0.000745094,0.0006679218,0.0025613497],"category_scores_gemma":[0.00038250352,0.00023561699,0.00014260595,0.0005636979,0.0012544517,0.0003034857,0.0015866002,0.00042000832,0.00033598518],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004726573,0.00024121918,0.529999,0.00070801773,0.000061405946,0.05360048,0.3254461,0.0010675772,0.018951554,0.0056411745,0.004832654,0.05897825],"study_design_scores_gemma":[0.00001218427,0.00021271105,0.68287534,0.0003110112,0.000014425639,0.0023883255,0.2987486,0.00025850543,0.0011766825,0.00031652683,0.013664344,0.000021339341],"about_ca_topic_score_codex":0.039071374,"about_ca_topic_score_gemma":0.12696919,"teacher_disagreement_score":0.039071374,"about_ca_system_score_codex":0.0013993783,"about_ca_system_score_gemma":0.001858971,"threshold_uncertainty_score":0.07768792},"labels":[],"label_agreement":null},{"id":"W4315486477","doi":"10.1007/s10064-022-03054-7","title":"Subsurface characterization in an ancient graveyard with potential applications to forensic investigations","year":2023,"lang":"en","type":"article","venue":"Bulletin of Engineering Geology and the Environment","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Digging; Excavation; Geology; Forensic science; Stratigraphy; Archaeology; Mining engineering; Paleontology; Geophysics; Geography; Tectonics","score_opus":0.00618385613849866,"score_gpt":0.1836436898341301,"score_spread":0.17745983369563142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315486477","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912009,0.00032262868,0.0053919107,0.0000793892,0.000017751347,0.00001314089,0.0002291859,0.00006592117,0.0026792248],"genre_scores_gemma":[0.9930789,0.00013708498,0.0047106612,0.000017092721,0.000009847337,0.0000024138844,0.00009912175,0.000011071427,0.0019337854],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99992347,0.000004018841,0.0000036363201,0.000026226735,0.000030118408,0.000012423227],"domain_scores_gemma":[0.9999095,0.000016173924,0.00001308592,0.00000756532,0.000041853385,0.000011833808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000093667,0.0002446754,0.00021477649,0.0013958978,0.00059796876,0.0005907299,0.00031219202,0.0006321107,0.001332819],"category_scores_gemma":[0.00023913788,0.00015362553,0.00011636899,0.0011735746,0.0004540611,0.0003407672,0.000360372,0.00034453033,0.00024154603],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007951134,0.00012576084,0.12883614,0.0003716411,0.00005180189,0.007074992,0.0041312305,0.007091069,0.7291138,0.0021352894,0.00093887787,0.119334266],"study_design_scores_gemma":[0.000043925327,0.00090513565,0.69344753,0.0001355378,0.00029544596,0.015087064,0.013653904,0.072285414,0.18364187,0.004314414,0.016042536,0.00014716643],"about_ca_topic_score_codex":0.0067227855,"about_ca_topic_score_gemma":0.01543554,"teacher_disagreement_score":0.0067227855,"about_ca_system_score_codex":0.00019100084,"about_ca_system_score_gemma":0.0003816823,"threshold_uncertainty_score":0.013367295},"labels":[],"label_agreement":null},{"id":"W4316661968","doi":"10.58286/27243","title":"Validation of wireless impact echo prototype for condition assessment of concrete structures","year":2022,"lang":"en","type":"article","venue":"e-Journal of Nondestructive Testing","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cimetrix Solutions (Canada); University of Ottawa","funders":"Mitacs","keywords":"Echo (communications protocol); Ground-penetrating radar; Classification of discontinuities; Acoustics; Ultrasonic sensor; Ultrasonic testing; Wireless; Bluetooth; Computer science; Slab; Nondestructive testing; Delamination (geology); Radar; Geology; Structural engineering; Engineering; Telecommunications","score_opus":0.03268144014895844,"score_gpt":0.3521617424869369,"score_spread":0.3194803023379784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316661968","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67965305,0.0003896672,0.31583032,0.00013283856,0.0001562727,0.00043990716,0.00034526354,0.0014121678,0.0016405148],"genre_scores_gemma":[0.87372357,0.00026133115,0.12261783,0.000070434595,0.000023471135,0.00026115178,0.00020518593,0.000048152662,0.002788891],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993031,0.00014811987,0.000039523853,0.000119547534,0.00033993536,0.000049719896],"domain_scores_gemma":[0.9991891,0.00024501607,0.0000793141,0.00014071054,0.0002825976,0.00006321886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010749071,0.00047230104,0.00043415785,0.00054906844,0.00010963051,0.00040562288,0.0009832869,0.0006971051,0.0014800591],"category_scores_gemma":[0.0016265877,0.00021753117,0.00027803282,0.00024977824,0.00032319975,0.0005697984,0.00048045127,0.00027842197,0.00037472148],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003248643,0.00019594654,0.006064746,0.00030229293,0.000039963583,0.00054043584,0.00025706773,0.004365232,0.9214775,0.00040789298,0.00045234972,0.065571755],"study_design_scores_gemma":[0.00020635703,0.008367765,0.05827127,0.00008269688,0.00021306146,0.0033561706,0.0005028721,0.08308755,0.8345439,0.00035911167,0.010853831,0.00015550152],"about_ca_topic_score_codex":0.00030837453,"about_ca_topic_score_gemma":0.0004933456,"teacher_disagreement_score":0.0014800591,"about_ca_system_score_codex":0.00015050353,"about_ca_system_score_gemma":0.00018035377,"threshold_uncertainty_score":0.0056847334},"labels":[],"label_agreement":null},{"id":"W4317735736","doi":"10.1007/s10040-023-02591-z","title":"Using geophysical data to assess groundwater levels and the accuracy of a regional numerical flow model","year":2023,"lang":"en","type":"article","venue":"Hydrogeology Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Hydrogeology; Geology; Ground-penetrating radar; Aquifer; Groundwater flow; Groundwater; Geophysics; Vertical electrical sounding; Borehole; Electrical resistivity tomography; Groundwater model; Hydrology (agriculture); Radar; Geotechnical engineering; Electrical resistivity and conductivity","score_opus":0.2768420658365314,"score_gpt":0.38000732544580995,"score_spread":0.10316525960927853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317735736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9734461,0.00007107315,0.024782885,0.00012090641,0.000016150507,0.000015374413,0.000349139,0.00025987165,0.00093853835],"genre_scores_gemma":[0.99082184,0.00003087613,0.008736927,0.000009429763,0.0000029077044,0.000006625941,0.00023960388,0.000016420285,0.0001353869],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922717,0.00032419045,0.00007002323,0.00017172298,0.00015662942,0.00005020027],"domain_scores_gemma":[0.99301636,0.0043014563,0.00055995915,0.0009733356,0.0010188443,0.00013007445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030003309,0.0004954398,0.00042657854,0.00095654314,0.00026060877,0.0010291894,0.00077863527,0.0008791194,0.00042371303],"category_scores_gemma":[0.014154442,0.0003059139,0.00056497916,0.0007558434,0.0005741228,0.0014234206,0.00057466154,0.0005836238,0.00011102605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034178208,0.00012224165,0.07116067,0.000026268506,0.00012169601,0.00004490458,0.00008250132,0.90221965,0.0051593157,0.0010392612,0.00019103028,0.019490711],"study_design_scores_gemma":[0.000022689374,0.00006131467,0.009056663,0.0000057413804,0.000029068457,0.000007787625,0.000024308598,0.987906,0.0023867798,0.00036732887,0.000117378375,0.000015023771],"about_ca_topic_score_codex":0.04125123,"about_ca_topic_score_gemma":0.027453564,"teacher_disagreement_score":0.04125123,"about_ca_system_score_codex":0.0014102121,"about_ca_system_score_gemma":0.0010772635,"threshold_uncertainty_score":0.08202225},"labels":[],"label_agreement":null},{"id":"W4317906514","doi":"10.1111/1365-2478.13322","title":"Integrated geophysical methods for boulder delineation to improve mining","year":2023,"lang":"en","type":"article","venue":"Geophysical Prospecting","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geological Survey of Canada","funders":"National Research Foundation","keywords":"Geology; Electrical resistivity tomography; Borehole; Layering; Mining engineering; Ultramafic rock; Drilling; Seismic refraction; Underground mining (soft rock); Weathering; Geophysics; Geomorphology; Geochemistry; Geotechnical engineering; Electrical resistivity and conductivity","score_opus":0.0271512176744371,"score_gpt":0.3569437730730658,"score_spread":0.3297925553986287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317906514","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15151876,0.00015010324,0.84314007,0.000097309676,0.00002501487,0.00009545011,0.00038397213,0.002702972,0.001886283],"genre_scores_gemma":[0.4578492,0.00008410067,0.5406974,0.000020425316,0.000007694461,0.000060555743,0.00037192198,0.00012337923,0.00078539137],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99972075,0.00007281082,0.00002524052,0.00006158336,0.000091384994,0.000028121767],"domain_scores_gemma":[0.9991541,0.00030923,0.00014454876,0.00010688406,0.0002559859,0.000029207771],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005367297,0.00046005868,0.00031635215,0.0018549873,0.00019144062,0.0007533202,0.0005151704,0.00032280618,0.0018091851],"category_scores_gemma":[0.0022969588,0.00020313758,0.000296602,0.0011842382,0.00027195955,0.00052152714,0.0007153265,0.000394868,0.0004778753],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031086305,0.00031292404,0.06193561,0.00032599113,0.00018388295,0.0003696677,0.00078440295,0.13589257,0.13593647,0.0042884517,0.0020484468,0.65761065],"study_design_scores_gemma":[0.000027219641,0.00008024046,0.03746765,0.00003695152,0.000036872385,0.00041810048,0.00048732414,0.92365205,0.029993638,0.002732421,0.0050298725,0.00003763453],"about_ca_topic_score_codex":0.0025570674,"about_ca_topic_score_gemma":0.006016394,"teacher_disagreement_score":0.0025570674,"about_ca_system_score_codex":0.0002079624,"about_ca_system_score_gemma":0.00055949704,"threshold_uncertainty_score":0.0060523152},"labels":[],"label_agreement":null},{"id":"W4320712908","doi":"10.1109/access.2023.3244689","title":"An Integrated Framework for BIM Development of Concrete Buildings Containing Both Surface Elements and Rebar","year":2023,"lang":"en","type":"article","venue":"IEEE Access","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Stantec (Canada)","funders":"","keywords":"Rebar; Ground-penetrating radar; Computer science; Photogrammetry; Building information modeling; Remote sensing; Radar; Artificial intelligence; Engineering; Geology; Structural engineering","score_opus":0.048293213062583905,"score_gpt":0.3622785647405776,"score_spread":0.31398535167799374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320712908","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012003129,0.000104243714,0.9862288,0.000053953478,0.000026864893,0.00018026133,0.00034211768,0.0098088775,0.0020545216],"genre_scores_gemma":[0.032231685,0.00030089164,0.9602551,0.000046233134,0.000020574,0.00046680227,0.0029548402,0.0011268548,0.0025970747],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986469,0.00019022361,0.0001345995,0.0002813635,0.00061347516,0.00013338719],"domain_scores_gemma":[0.99944335,0.00008363404,0.00005959581,0.00014186931,0.000196979,0.00007462618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020555202,0.0017907242,0.0010545031,0.0029685448,0.00085641135,0.0031347612,0.0037379283,0.0012561758,0.0076132626],"category_scores_gemma":[0.0019013933,0.0011524683,0.0030513634,0.0016067841,0.00088056887,0.0026420045,0.00413613,0.0016490575,0.0035200685],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001966251,0.0004066981,0.004380491,0.0011972187,0.00025645262,0.0015355565,0.0018001284,0.3706405,0.025080055,0.13032527,0.029761907,0.43441913],"study_design_scores_gemma":[0.00004117221,0.00007978572,0.0010492472,0.00020992108,0.00009105744,0.0005231315,0.00031832568,0.8335097,0.009267998,0.024159422,0.13064362,0.00010660851],"about_ca_topic_score_codex":0.010948449,"about_ca_topic_score_gemma":0.01719496,"teacher_disagreement_score":0.010948449,"about_ca_system_score_codex":0.0010419114,"about_ca_system_score_gemma":0.002267365,"threshold_uncertainty_score":0.025468946},"labels":[],"label_agreement":null},{"id":"W4321491429","doi":"10.5194/egusphere-egu23-2106","title":"Combined migrations and time-depth conversions: first results","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"ASTER","funders":"","keywords":"Homogeneous; Computer science; Scattering; Exploit; Algorithm; Seismic migration; Software; Domain (mathematical analysis); Ground-penetrating radar; Inverse scattering problem; Inverse problem; Image (mathematics); Inverse; Mathematical optimization; Geology; Mathematics; Optics; Geometry; Mathematical analysis; Statistical physics; Artificial intelligence; Physics; Telecommunications; Radar; Geophysics; Programming language","score_opus":0.031154682916668733,"score_gpt":0.262415625123722,"score_spread":0.2312609422070533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321491429","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03940469,0.005815939,0.94150275,0.0002346046,0.00030703528,0.00012630154,0.00024056603,0.00084586354,0.011522233],"genre_scores_gemma":[0.2651089,0.006303382,0.7140309,0.00015772453,0.0005564127,0.00027842305,0.00059504464,0.0006253589,0.012343878],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999057,0.00020516074,0.00007455323,0.00013302977,0.00044355777,0.00008672542],"domain_scores_gemma":[0.998899,0.00037604794,0.00014244599,0.00022829788,0.00027587925,0.00007831225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013142038,0.0019554938,0.001180878,0.0020005838,0.0003838959,0.0020168063,0.0009793432,0.001592487,0.003936574],"category_scores_gemma":[0.0038123387,0.0005355761,0.001599685,0.0020983797,0.0011445605,0.0021976607,0.0025934316,0.0013035131,0.001583755],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011404788,0.00069681375,0.003391492,0.002915944,0.00063585234,0.0006591979,0.00077926245,0.15822318,0.12636366,0.08834141,0.005842914,0.6110098],"study_design_scores_gemma":[0.000063353815,0.0005379274,0.002531242,0.00020184748,0.00031225148,0.0009824211,0.00019682224,0.8432138,0.10921108,0.026665717,0.015939897,0.00014364437],"about_ca_topic_score_codex":0.001156868,"about_ca_topic_score_gemma":0.000774699,"teacher_disagreement_score":0.003936574,"about_ca_system_score_codex":0.00042281492,"about_ca_system_score_gemma":0.00035885358,"threshold_uncertainty_score":0.01316911},"labels":[],"label_agreement":null},{"id":"W4322492511","doi":"10.1080/14680629.2023.2182135","title":"Evaluating the use of machine learning for moisture content prediction in base and subgrade layers","year":2023,"lang":"en","type":"article","venue":"Road Materials and Pavement Design","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Subgrade; Water content; Moisture; Environmental science; Geotechnical engineering; Predictive modelling; Machine learning; Engineering; Computer science; Materials science; Composite material","score_opus":0.22642176709981549,"score_gpt":0.325775546602016,"score_spread":0.09935377950220053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322492511","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9732775,0.0004848783,0.023257546,0.00017235728,0.000049829177,0.00009237241,0.0002893966,0.0004791786,0.0018969754],"genre_scores_gemma":[0.98823255,0.00010559955,0.010835056,0.000019122564,0.0000073966526,0.000027648803,0.00026437262,0.000011180505,0.00049717067],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913824,0.00036141012,0.00006611411,0.00016169118,0.00018005146,0.00009239476],"domain_scores_gemma":[0.99499536,0.0036900311,0.00019439895,0.00022645887,0.0007631585,0.00013058151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00355553,0.0011941384,0.00058320595,0.0008157884,0.0002979011,0.0007811107,0.00071365014,0.0011138673,0.00069532386],"category_scores_gemma":[0.0071378974,0.0002631909,0.00056017656,0.0005570185,0.000313839,0.0011563346,0.00045044333,0.0006133155,0.00025267914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011190651,0.0008665768,0.059211884,0.00012588156,0.00023864534,0.00006604846,0.00005464498,0.82409954,0.004588751,0.000298553,0.0006024449,0.10872804],"study_design_scores_gemma":[0.000014152504,0.00028582723,0.005990374,0.0000053248473,0.00002281696,0.0000060829875,0.000019208914,0.99128634,0.0021880919,0.00008373874,0.00009072069,0.000007340563],"about_ca_topic_score_codex":0.031563777,"about_ca_topic_score_gemma":0.021899026,"teacher_disagreement_score":0.031563777,"about_ca_system_score_codex":0.0011489453,"about_ca_system_score_gemma":0.0008662121,"threshold_uncertainty_score":0.062760115},"labels":[],"label_agreement":null},{"id":"W4323349879","doi":"10.1016/j.coldregions.2023.103819","title":"An evaluation of GPR monitoring methods on varying river ice conditions: A case study in Alaska","year":2023,"lang":"en","type":"article","venue":"Cold Regions Science and Technology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ground-penetrating radar; Geology; Snow; Sea ice; Sea ice thickness; Hydrology (agriculture); Transect; Arctic ice pack; Environmental science; Fast ice; Melt pond; Physical geography; Geomorphology; Radar; Climatology; Oceanography; Geotechnical engineering","score_opus":0.09099750564977527,"score_gpt":0.42984398830642556,"score_spread":0.3388464826566503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323349879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976306,0.000049947997,0.0016849326,0.000024766949,0.000003980024,0.000024444415,0.00004135329,0.000024800325,0.00051516294],"genre_scores_gemma":[0.99324954,0.00008754008,0.0063734096,0.000015455824,0.000004067707,0.000017401033,0.00006153818,0.0000062138374,0.0001849013],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989048,0.00048416012,0.000102780024,0.00017898454,0.00023578916,0.0000935241],"domain_scores_gemma":[0.99722373,0.0013987129,0.00026435123,0.00022985617,0.00079625443,0.00008712217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029646945,0.000466309,0.00039564588,0.00073078537,0.0005959035,0.0007033491,0.00052443036,0.0006909993,0.00019381987],"category_scores_gemma":[0.004922482,0.00017489868,0.0003092684,0.00080022693,0.00037116,0.0006626103,0.00058152905,0.00022845983,0.00007869712],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072809996,0.0007437921,0.79951173,0.00031857696,0.0001731267,0.004758776,0.0062186774,0.0496447,0.028213793,0.00026063935,0.0003550302,0.109073035],"study_design_scores_gemma":[0.00006050607,0.0023370099,0.80525225,0.00011136339,0.00030326203,0.0022178567,0.014792061,0.15068847,0.022153322,0.0002902915,0.0016994441,0.000094211406],"about_ca_topic_score_codex":0.02140547,"about_ca_topic_score_gemma":0.032231383,"teacher_disagreement_score":0.02140547,"about_ca_system_score_codex":0.0007480258,"about_ca_system_score_gemma":0.00042632205,"threshold_uncertainty_score":0.04256171},"labels":[],"label_agreement":null},{"id":"W4323782800","doi":"10.38072/978-3-928794-83-1/p14","title":"Analysis of the evolution of a Roman urban space by GPR survey","year":2023,"lang":"en","type":"book-chapter","venue":"Universitätsverlag Kiel | Kiel University Publishing eBooks","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft","keywords":"Ground-penetrating radar; Quarter (Canadian coin); Excavation; Space (punctuation); Urban space; Geography; Archaeology; Geophysical survey; Geology; History; Regional science; Computer science; Geophysics; Radar; Telecommunications","score_opus":0.014396308685311297,"score_gpt":0.1776528866892287,"score_spread":0.1632565780039174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323782800","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87156695,0.0015923185,0.08069898,0.00021648726,0.000067089444,0.000040532854,0.0021935303,0.0006303339,0.042993795],"genre_scores_gemma":[0.9625277,0.0008759271,0.028399628,0.000034275392,0.000023109185,0.000017330562,0.0012638419,0.00014555217,0.006712675],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9998853,0.00002217222,0.000005569013,0.000027341386,0.00004076342,0.000018809695],"domain_scores_gemma":[0.99988925,0.000038103968,0.000016490203,0.000018277882,0.0000310384,0.000006956675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023715611,0.00019320745,0.00019590861,0.001544852,0.00012878797,0.000598211,0.00021335899,0.00022966717,0.0016832968],"category_scores_gemma":[0.00038524118,0.0001508879,0.0002139979,0.0017475653,0.00026546887,0.0003563851,0.0004245522,0.0002395,0.000636311],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045565245,0.00012318436,0.16747068,0.000605061,0.000116285424,0.0023773352,0.0029109449,0.07348172,0.17068075,0.0145725235,0.0078119617,0.55939394],"study_design_scores_gemma":[0.000017078835,0.00024904826,0.7145636,0.0001577626,0.00012079926,0.0037420762,0.0037717065,0.17069429,0.04213411,0.005884909,0.05854957,0.000115020506],"about_ca_topic_score_codex":0.0007514159,"about_ca_topic_score_gemma":0.0008771711,"teacher_disagreement_score":0.0016832968,"about_ca_system_score_codex":0.00015652379,"about_ca_system_score_gemma":0.00010144364,"threshold_uncertainty_score":0.0056312084},"labels":[],"label_agreement":null},{"id":"W4353064251","doi":"10.3390/eng4010059","title":"A Critical Review and Bibliometric Analysis on Applications of Ground Penetrating Radar in Science Based on Web of Science Database","year":2023,"lang":"en","type":"review","venue":"Eng—Advances in Engineering","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Ground-penetrating radar; Science Citation Index; Web of science; Subject (documents); Citation; Citation index; Library science; Geography; Radar; Computer science; Political science; MEDLINE","score_opus":0.043866779313802784,"score_gpt":0.3928655701020524,"score_spread":0.34899879078824964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4353064251","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016095784,0.95762825,0.0026499943,0.005589888,0.0010446497,0.0019631777,0.00946632,0.0001266956,0.005435265],"genre_scores_gemma":[0.061471306,0.9210263,0.006289718,0.0013072188,0.00070905476,0.0025508779,0.0059015756,0.00004353948,0.00070041814],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.96074945,0.009162028,0.01570057,0.0019792714,0.011711072,0.000697526],"domain_scores_gemma":[0.8355966,0.10171546,0.021271134,0.0030732576,0.036643382,0.0017001462],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.026274215,0.0014755988,0.005761211,0.19613805,0.0024756286,0.0063768383,0.0023497886,0.0017518104,0.004588721],"category_scores_gemma":[0.11455848,0.0010247456,0.0049844235,0.18051298,0.0016822362,0.007606399,0.0032973487,0.0011485306,0.00076229393],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023301903,0.0001252338,0.021343313,0.6092511,0.0050455146,0.0008174735,0.0024562404,0.0006008898,0.000774298,0.0035753192,0.023933023,0.3318447],"study_design_scores_gemma":[0.00016484116,0.00041447347,0.09893985,0.606248,0.03769648,0.0018815876,0.005591061,0.0020281253,0.0015511318,0.004312696,0.24086504,0.00030670525],"about_ca_topic_score_codex":0.010607317,"about_ca_topic_score_gemma":0.019137213,"teacher_disagreement_score":0.803862,"about_ca_system_score_codex":0.008631357,"about_ca_system_score_gemma":0.029129496,"threshold_uncertainty_score":0.13895303},"labels":[],"label_agreement":null},{"id":"W4360610561","doi":"10.1029/2023wr034503","title":"An Analytical Method to Estimate Groundwater Depletion of an Aquitard Due To Variable Drawdowns in Adjacent Aquifers","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Chengdu University; State Key Laboratory of Geohazard Prevention and Geoenvironment Protection; Chengdu University of Technology; China Scholarship Council; University of Waterloo; National Natural Science Foundation of China","keywords":"Aquifer; Drawdown (hydrology); Hydrogeology; Groundwater; Specific storage; Geology; Cone of depression; Aquifer test; Water table; Soil science; Hydrology (agriculture); Groundwater flow; Environmental science; Groundwater recharge; Geotechnical engineering","score_opus":0.059258977352451635,"score_gpt":0.42094906270290894,"score_spread":0.3616900853504573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360610561","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3844643,0.00019206527,0.61199015,0.00007493783,0.000016078882,0.00006106806,0.00022505516,0.0009157602,0.0020606883],"genre_scores_gemma":[0.970499,0.00007126948,0.028719975,0.000009493938,0.000005274757,0.000040688217,0.00007363785,0.000016270886,0.0005643983],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988234,0.000018337258,0.000010853831,0.000033925124,0.000039927163,0.000014623529],"domain_scores_gemma":[0.9997478,0.00007163432,0.00005820275,0.00002164883,0.00008722191,0.000013478033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019530115,0.0004800057,0.0002771169,0.001237856,0.0002902505,0.00034965205,0.0005880561,0.0003494536,0.0005736494],"category_scores_gemma":[0.00095555437,0.0002771129,0.00031877632,0.0007502471,0.00031879058,0.0004521665,0.000433379,0.00019062459,0.00008880155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008335323,0.00004456674,0.022719378,0.00011341099,0.000040271523,0.00032492037,0.00017789638,0.8710996,0.032199748,0.0021004903,0.00037778006,0.070718534],"study_design_scores_gemma":[0.0000026945775,0.000009159173,0.0018628624,0.0000028389954,0.0000064258543,0.000021147249,0.000019327992,0.99586225,0.0017333856,0.0003068946,0.00016766888,0.000005395148],"about_ca_topic_score_codex":0.0094503,"about_ca_topic_score_gemma":0.0061338875,"teacher_disagreement_score":0.0094503,"about_ca_system_score_codex":0.0004885959,"about_ca_system_score_gemma":0.00058138947,"threshold_uncertainty_score":0.018790543},"labels":[],"label_agreement":null},{"id":"W4361272517","doi":"10.18280/ijsse.130101","title":"UAV Technology for Source Recovery and Emergency Response","year":2023,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Horizon 2020 Framework Programme","keywords":"Emergency response; Disaster response; Computer science; Aeronautics; Medical emergency; Environmental science; Engineering; Emergency management; Medicine","score_opus":0.006643433588677195,"score_gpt":0.25096358227507615,"score_spread":0.24432014868639895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361272517","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033771116,0.0020342243,0.948005,0.00029709563,0.00014891356,0.00011000614,0.00015903582,0.0027866003,0.012688097],"genre_scores_gemma":[0.52400595,0.001313763,0.46276402,0.0001291846,0.00004357771,0.00013638394,0.00036509152,0.000147709,0.011094305],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99979776,0.000054622764,0.000007812967,0.000029507828,0.00008589877,0.00002436692],"domain_scores_gemma":[0.99985504,0.000035165853,0.000026226342,0.000032468706,0.000039730232,0.000011394198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021054714,0.00042530565,0.0003122286,0.0003617457,0.00024384912,0.00047607342,0.00046338714,0.00037743617,0.0029206811],"category_scores_gemma":[0.00043208848,0.00014930315,0.0002078607,0.00025947398,0.0001837201,0.00043799717,0.00048051728,0.00044525534,0.0011899027],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030155337,0.00007038281,0.002395903,0.0004932409,0.00006860974,0.00031212159,0.00019131246,0.14620201,0.2168789,0.026863394,0.011596153,0.5946264],"study_design_scores_gemma":[0.00006779479,0.00068004883,0.003488193,0.00011970378,0.000054547105,0.0008030698,0.00011996698,0.75409317,0.11342117,0.0076839183,0.119406655,0.00006172521],"about_ca_topic_score_codex":0.0014757827,"about_ca_topic_score_gemma":0.0011859286,"teacher_disagreement_score":0.0029206811,"about_ca_system_score_codex":0.00037121976,"about_ca_system_score_gemma":0.00037950592,"threshold_uncertainty_score":0.009770691},"labels":[],"label_agreement":null},{"id":"W4361838289","doi":"10.1002/9781118786352.wbieg2085","title":"Ground‐Penetrating Radar","year":2023,"lang":"en","type":"other","venue":"International Encyclopedia of Geography","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Ground-penetrating radar; Classification of discontinuities; Geology; Radar; Remote sensing; Homogeneous; Energy (signal processing); Reflector (photography); Geophysics; Computer science; Optics; Physics","score_opus":0.007528385515615343,"score_gpt":0.24775434238778835,"score_spread":0.240225956872173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361838289","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03229426,0.019614797,0.45697817,0.0022349597,0.0020091173,0.00086265645,0.009657213,0.010559207,0.4657895],"genre_scores_gemma":[0.35392374,0.0302986,0.3044862,0.005517586,0.0010926956,0.0009329214,0.020801507,0.0018756026,0.28107122],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99915457,0.00011132753,0.0000307981,0.00014385051,0.00046898765,0.00009049829],"domain_scores_gemma":[0.999203,0.00013332916,0.000050295665,0.0001585006,0.0004097925,0.000045152254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006177553,0.00065861206,0.00054746156,0.0009972394,0.00053435203,0.0021171365,0.0010995494,0.0012815497,0.03335697],"category_scores_gemma":[0.0014026312,0.0003267403,0.0003133702,0.0016015429,0.00027323773,0.001374779,0.0011410916,0.000899362,0.02800373],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028091168,0.0001037553,0.002455176,0.00086376176,0.000060614257,0.00062137074,0.00016026058,0.0041688425,0.07049826,0.016820969,0.14336352,0.76060253],"study_design_scores_gemma":[0.00004578269,0.0001675,0.004231619,0.00026094515,0.000058595997,0.0024243018,0.0001653876,0.012836597,0.034163766,0.006983218,0.93856364,0.00009855629],"about_ca_topic_score_codex":0.00076612446,"about_ca_topic_score_gemma":0.00064979796,"teacher_disagreement_score":0.03335697,"about_ca_system_score_codex":0.00033372833,"about_ca_system_score_gemma":0.00043613705,"threshold_uncertainty_score":0.11159015},"labels":[],"label_agreement":null},{"id":"W4362696576","doi":"10.36227/techrxiv.22486372.v1","title":"Artificial intelligence to detect buried objects","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Artificial intelligence; Computer science; Convolutional neural network; Sliding window protocol; Pattern recognition (psychology); Segmentation; Support vector machine; Artificial neural network; Computer vision; Radar; Process (computing); Window (computing)","score_opus":0.08939993669612924,"score_gpt":0.3328547212598194,"score_spread":0.24345478456369019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362696576","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029220527,0.026896091,0.831264,0.004224907,0.001995706,0.00020407017,0.00054076285,0.0029869345,0.10266695],"genre_scores_gemma":[0.4513735,0.025029674,0.48193058,0.0026396057,0.0012563316,0.00038112007,0.0012988511,0.00025329908,0.03583702],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994029,0.00011868529,0.0000404024,0.00011301412,0.00029016248,0.000034854365],"domain_scores_gemma":[0.99932647,0.00032968822,0.000072665585,0.00008776887,0.00016493083,0.000018602363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006087561,0.00071503647,0.00052809593,0.0014451357,0.0002642414,0.0015632847,0.0006216481,0.0010163995,0.0037820404],"category_scores_gemma":[0.0023943149,0.00023166343,0.00048685996,0.00092270615,0.0006448501,0.0013204658,0.0007641842,0.0012063248,0.0016118091],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000091790775,0.00012419077,0.0031573866,0.0011589169,0.00020767539,0.00041731354,0.0001695893,0.04760272,0.020888401,0.09003902,0.02802501,0.80811805],"study_design_scores_gemma":[0.00004318295,0.00027535838,0.0060026795,0.00069273566,0.00014986732,0.0011019646,0.00025085275,0.518114,0.02854165,0.21726668,0.22745761,0.00010337557],"about_ca_topic_score_codex":0.00060735596,"about_ca_topic_score_gemma":0.0004455778,"teacher_disagreement_score":0.0037820404,"about_ca_system_score_codex":0.00044816328,"about_ca_system_score_gemma":0.0003639287,"threshold_uncertainty_score":0.012652159},"labels":[],"label_agreement":null},{"id":"W4362701347","doi":"10.36227/techrxiv.22486372","title":"Artificial intelligence to detect buried objects","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Artificial intelligence; Computer science; Convolutional neural network; Sliding window protocol; Pattern recognition (psychology); Segmentation; Support vector machine; Artificial neural network; Computer vision; Radar; Process (computing); Window (computing)","score_opus":0.08939993669612924,"score_gpt":0.3328547212598194,"score_spread":0.24345478456369019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362701347","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031484053,0.027858764,0.8027404,0.0042986628,0.0020278788,0.00017086054,0.0005004344,0.0027475795,0.12817138],"genre_scores_gemma":[0.49400204,0.025279172,0.42458892,0.0025674426,0.0012370029,0.0002885876,0.0010846661,0.00025402004,0.05069828],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951625,0.00009568698,0.000029341893,0.000094384784,0.00023230114,0.000032023963],"domain_scores_gemma":[0.9994585,0.00025285658,0.00005531853,0.00007190238,0.00014530706,0.000016055958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045287973,0.000590595,0.00044442317,0.0013177684,0.00024708253,0.0015520406,0.00056039233,0.0009539475,0.004358732],"category_scores_gemma":[0.0019508334,0.00021410018,0.0003896057,0.00093375717,0.00061248225,0.0012765373,0.00070472993,0.0010358888,0.0015056381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008025771,0.00011058371,0.0021482843,0.0008410924,0.00014097938,0.00034101526,0.00015484309,0.05123226,0.021313198,0.10125682,0.02891914,0.79346156],"study_design_scores_gemma":[0.00003089951,0.0001812181,0.00454893,0.00043218935,0.000100278485,0.0007315072,0.00020018787,0.5922455,0.025929732,0.1699094,0.20561187,0.00007835762],"about_ca_topic_score_codex":0.0007631061,"about_ca_topic_score_gemma":0.0005566807,"teacher_disagreement_score":0.004358732,"about_ca_system_score_codex":0.00046874545,"about_ca_system_score_gemma":0.00032451816,"threshold_uncertainty_score":0.014581442},"labels":[],"label_agreement":null},{"id":"W4366249108","doi":"10.1139/cgj-2022-0131","title":"Fast stratification of geological cross-section from CPT results with missing data using multitask and modified Bayesian compressive sensing","year":2023,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Cone penetration test; Depth sounding; Stratification (seeds); Geology; Bayesian probability; Autocorrelation; Missing data; Geotechnical engineering; Data assimilation; Soil science; Remote sensing; Computer science; Meteorology; Mathematics; Statistics; Artificial intelligence; Machine learning; Geography","score_opus":0.0659042466965721,"score_gpt":0.303482901178392,"score_spread":0.2375786544818199,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366249108","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.062151946,0.00008382822,0.93639064,0.000104168226,0.00003076944,0.00003003102,0.0001630447,0.00030950716,0.00073602924],"genre_scores_gemma":[0.64418215,0.00019801692,0.35326976,0.000105864645,0.000045588735,0.000082188555,0.0009343178,0.00007410192,0.0011080652],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965274,0.00006893028,0.000021866916,0.00006732498,0.00014974253,0.00003939218],"domain_scores_gemma":[0.99883777,0.00046123718,0.0001865843,0.00015906112,0.0002879557,0.000067445784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006787446,0.0006502914,0.0003972602,0.00070656615,0.0002659687,0.00043710478,0.0007397587,0.0005163436,0.0007517518],"category_scores_gemma":[0.003134283,0.00029159128,0.00047920496,0.0006733702,0.00044406785,0.0008296105,0.0010479256,0.0007629072,0.0002423137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004456767,0.00018925585,0.016672133,0.00032866382,0.00008893605,0.00047834197,0.0004329741,0.5491805,0.078698374,0.0076017883,0.002253877,0.34362945],"study_design_scores_gemma":[0.000007549371,0.00003273754,0.0022793086,0.000010873821,0.000009013322,0.000076590295,0.000039930994,0.989541,0.005613267,0.0018121653,0.00056069193,0.000016836308],"about_ca_topic_score_codex":0.0048980745,"about_ca_topic_score_gemma":0.008562269,"teacher_disagreement_score":0.0048980745,"about_ca_system_score_codex":0.00028332014,"about_ca_system_score_gemma":0.00083155785,"threshold_uncertainty_score":0.009739101},"labels":[],"label_agreement":null},{"id":"W4366492271","doi":"10.11159/icgre23.152","title":"Interpretation of Cone Penetration Tests to Characterize Tropical Residual Soils Using Machine Learning","year":2023,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Civil, Structural, and Environmental Engineering","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Residual; Soil water; Computer science; Artificial intelligence; Penetration (warfare); Interpretation (philosophy); Machine learning; Geology; Soil science; Mathematics; Algorithm","score_opus":0.01048179921677562,"score_gpt":0.22294413193110085,"score_spread":0.21246233271432524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366492271","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54555905,0.0007000481,0.43758437,0.00023219391,0.00008650583,0.00025684544,0.002468017,0.0024438202,0.010669088],"genre_scores_gemma":[0.9541971,0.0002225162,0.04350782,0.000045234552,0.00001471495,0.00007560119,0.0008761353,0.0000882535,0.00097265904],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995172,0.000079259386,0.000053356907,0.00009606029,0.00018320784,0.00007082407],"domain_scores_gemma":[0.9980884,0.0007213622,0.00031641382,0.00015628211,0.00064354984,0.00007393736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010794434,0.0010952548,0.00041615122,0.0032791842,0.00021909292,0.0010474898,0.0004711658,0.0004922215,0.0020058479],"category_scores_gemma":[0.002724958,0.0001606763,0.00044332558,0.0016441466,0.0002811862,0.0006132015,0.00040669655,0.0003919848,0.0005897327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004405249,0.00036990902,0.14002182,0.0007788462,0.00014354658,0.0021649692,0.0010341408,0.12963688,0.16212764,0.0024447993,0.004968507,0.5558684],"study_design_scores_gemma":[0.000016123162,0.00030900576,0.15220287,0.00012910731,0.0000637611,0.000819247,0.0012751443,0.7811259,0.05536121,0.003764854,0.004842601,0.00009009757],"about_ca_topic_score_codex":0.002745611,"about_ca_topic_score_gemma":0.0037665144,"teacher_disagreement_score":0.0032791842,"about_ca_system_score_codex":0.0002224908,"about_ca_system_score_gemma":0.00039393478,"threshold_uncertainty_score":0.0067102313},"labels":[],"label_agreement":null},{"id":"W4366506664","doi":"10.11159/icgre23.113","title":"Application of Full-Waveform Acoustic Borehole Logging to Detect and Characterize Rock Mass Fracture","year":2023,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Civil, Structural, and Environmental Engineering","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Université de Bordeaux; Mitacs","keywords":"Borehole; Geology; Waveform; Rock mass classification; Logging; Sonic logging; Well logging; Fracture (geology); Seismology; Acoustics; Geotechnical engineering; Petroleum engineering; Computer science; Telecommunications; Physics; Radar","score_opus":0.005045641485849556,"score_gpt":0.19591053039731002,"score_spread":0.19086488891146047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366506664","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8607885,0.00018515401,0.13588393,0.00005926123,0.00002268694,0.000084180625,0.00038065013,0.00075724063,0.0018383599],"genre_scores_gemma":[0.9570929,0.00010327609,0.04240138,0.000015708658,0.000004090301,0.000025061627,0.0000892248,0.000018662018,0.00024971148],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999039,0.00001273742,0.0000058223472,0.00001858218,0.000046850873,0.000012101737],"domain_scores_gemma":[0.9996779,0.00013996747,0.00003889786,0.00004044795,0.000086332584,0.00001656288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025859254,0.00028164283,0.00013065127,0.00051938655,0.00009868232,0.0002301211,0.0002931858,0.00030124697,0.00067104056],"category_scores_gemma":[0.00065430364,0.000111965164,0.00009967773,0.00034378422,0.00015343564,0.0003511017,0.00024754376,0.00015835224,0.0001114428],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025063308,0.00021364573,0.026367795,0.00018475184,0.000022862672,0.0002867426,0.0002438406,0.019881763,0.8115578,0.00032068108,0.00027701538,0.14039242],"study_design_scores_gemma":[0.00004477301,0.00084158336,0.090671435,0.000037173144,0.000046087505,0.0009272482,0.00041889524,0.6741435,0.23036651,0.0007759479,0.0016497426,0.00007710965],"about_ca_topic_score_codex":0.0009157709,"about_ca_topic_score_gemma":0.0021278001,"teacher_disagreement_score":0.0009157709,"about_ca_system_score_codex":0.00008324521,"about_ca_system_score_gemma":0.0001613749,"threshold_uncertainty_score":0.0022448301},"labels":[],"label_agreement":null},{"id":"W4366548085","doi":"10.3389/fsoil.2023.1137731","title":"Temporal and operation-induced instability of apparent soil electrical conductivity measurements","year":2023,"lang":"en","type":"article","venue":"Frontiers in Soil Science","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Universiti Putra Malaysia","keywords":"Electrical resistivity and conductivity; EMI; Noise (video); Environmental science; Soil science; Conductivity; Instability; Materials science; Electromagnetic shielding; Electromagnetic interference; Remote sensing; Geology; Physics; Composite material; Electrical engineering; Mechanics; Engineering","score_opus":0.049837193861620534,"score_gpt":0.2922494020236475,"score_spread":0.242412208162027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366548085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98051775,0.00015916371,0.018128354,0.00004647752,0.000032526033,0.000022100192,0.00022755032,0.00014143198,0.0007246837],"genre_scores_gemma":[0.9969228,0.000037725917,0.0025782853,0.000022693941,0.0000070241704,0.000018789804,0.00014643015,0.00003240147,0.0002339135],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990644,0.00016561394,0.00007660061,0.00023263211,0.00039841482,0.00006241612],"domain_scores_gemma":[0.99686146,0.0014015996,0.0006549667,0.00032828492,0.0006878759,0.00006588731],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009414698,0.00034785483,0.00028854757,0.00055034325,0.00030825724,0.0004651062,0.000382488,0.00037830055,0.0005638911],"category_scores_gemma":[0.0042984732,0.00016333352,0.00019570287,0.0007500534,0.00045561805,0.0004152667,0.00045006195,0.00040049345,0.00017369712],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010002048,0.00014519133,0.09801719,0.00023656362,0.00007522305,0.00072163146,0.001168455,0.007055794,0.85364497,0.0002547074,0.00038982314,0.037290253],"study_design_scores_gemma":[0.000022493155,0.0012629328,0.37191647,0.000030040412,0.00011017087,0.0013921625,0.0008705876,0.035792757,0.5845722,0.0005141174,0.0034177941,0.000098268094],"about_ca_topic_score_codex":0.0008489641,"about_ca_topic_score_gemma":0.0011745135,"teacher_disagreement_score":0.0009414698,"about_ca_system_score_codex":0.00023396531,"about_ca_system_score_gemma":0.00015128525,"threshold_uncertainty_score":0.0049790144},"labels":[],"label_agreement":null},{"id":"W4366779536","doi":"10.1016/j.enggeo.2023.107123","title":"Abandoned old mine excavation detection by Electrical Resistivity Tomography","year":2023,"lang":"en","type":"article","venue":"Engineering Geology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Polytechnique Montréal; Université du Québec en Abitibi-Témiscamingue","funders":"Mitacs","keywords":"Excavation; Electrical resistivity tomography; Borehole; Mining engineering; Geology; Geotechnical engineering; Archaeology; Electrical resistivity and conductivity; Engineering; Geography","score_opus":0.005736081075252307,"score_gpt":0.20965981955520024,"score_spread":0.20392373847994794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366779536","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9118486,0.00063406234,0.08082678,0.00011945032,0.00004872592,0.00003096812,0.0004210335,0.00047468106,0.005595674],"genre_scores_gemma":[0.98157585,0.00022248313,0.016009768,0.000013880393,0.000015955267,0.000007425488,0.00014033509,0.000011912066,0.002002419],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.999848,0.000024833293,0.000009088879,0.00003933642,0.000056685734,0.00002205185],"domain_scores_gemma":[0.99956495,0.00011455695,0.0001119169,0.000042301555,0.00013855737,0.000027744443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002473786,0.00034424962,0.00021565724,0.0014512284,0.00017782448,0.0006280117,0.0004393518,0.0006116419,0.00052758254],"category_scores_gemma":[0.00075058144,0.00024160798,0.00013022874,0.0010348675,0.00028432297,0.00059046864,0.00048176656,0.0002329814,0.00032798428],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007438734,0.00020824341,0.346183,0.0003733038,0.000111412795,0.003159366,0.0010378475,0.030475993,0.21412888,0.0019099133,0.0029106818,0.39875737],"study_design_scores_gemma":[0.00009497703,0.00036785562,0.44771904,0.00017136986,0.00019203461,0.0035797807,0.0013662658,0.46474737,0.061067205,0.0029007632,0.017700855,0.000092522154],"about_ca_topic_score_codex":0.0012905065,"about_ca_topic_score_gemma":0.0029307283,"teacher_disagreement_score":0.0014512284,"about_ca_system_score_codex":0.00014194864,"about_ca_system_score_gemma":0.00021884614,"threshold_uncertainty_score":0.00256598},"labels":[],"label_agreement":null},{"id":"W43721646","doi":"10.3133/ofr00318","title":"Report for explosion and earthquake data acquired in the 1999 Seismic Hazards Investigation of Puget Sound (SHIPS), Washington","year":2000,"lang":"en","type":"article","venue":"Antarctica A Keystone in a Changing World","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geological Survey of Canada","funders":"U.S. Bureau of Land Management; National Oceanic and Atmospheric Administration; U.S. Geological Survey; Oregon State University; University of Washington; Washington State University","keywords":"Seismology; Geology; Seismometer; Structural basin; Aftershock; Seismic refraction; Shot (pellet); Refraction; Paleontology","score_opus":0.046616143421423506,"score_gpt":0.2957615206139511,"score_spread":0.2491453771925276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W43721646","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5765751,0.00078742835,0.004683609,0.00053408724,0.00038564936,0.0013023682,0.37362972,0.0013443226,0.040757798],"genre_scores_gemma":[0.33025724,0.0010723124,0.011816004,0.0002459169,0.00013389155,0.0011033472,0.63222504,0.00026235727,0.022883939],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999121,0.00006415054,0.00014868355,0.000100927784,0.0005068107,0.00005852114],"domain_scores_gemma":[0.99773186,0.00035438465,0.00036965712,0.00023044882,0.0012227641,0.00009088922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091019867,0.0004310431,0.00020976306,0.0025373865,0.00053460826,0.0006223029,0.00035935614,0.00023020581,0.0052691884],"category_scores_gemma":[0.0025862171,0.00020783434,0.00010206551,0.0016894828,0.00013962408,0.00045396874,0.00060777174,0.0003226407,0.0029113756],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010004699,0.000631349,0.64606816,0.0004879157,0.00020933362,0.0021395488,0.0012738771,0.0010387914,0.018784186,0.00049688556,0.15103401,0.17683554],"study_design_scores_gemma":[0.000070125985,0.00037037116,0.7932582,0.00012909414,0.00009243539,0.00058576337,0.0016424027,0.00091320724,0.009202771,0.000115456445,0.19357963,0.000040552262],"about_ca_topic_score_codex":0.01689255,"about_ca_topic_score_gemma":0.0421741,"teacher_disagreement_score":0.01689255,"about_ca_system_score_codex":0.00039205357,"about_ca_system_score_gemma":0.0007096264,"threshold_uncertainty_score":0.03358847},"labels":[],"label_agreement":null},{"id":"W4377832633","doi":"10.18280/ts.400222","title":"Non Invasive Decay Analysis of Monument Using Deep Learning Techniques","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Geology; Environmental science","score_opus":0.022339892025398277,"score_gpt":0.27786103522934286,"score_spread":0.2555211432039446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377832633","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4519424,0.001055371,0.541266,0.00024173147,0.00006821387,0.000049168462,0.00043094487,0.0017624964,0.0031836578],"genre_scores_gemma":[0.93107873,0.00042830917,0.06377516,0.00006484856,0.000026316455,0.000028010756,0.000502194,0.000058566904,0.004037852],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997751,0.000021669375,0.000011655086,0.000041989355,0.00009862132,0.000051033905],"domain_scores_gemma":[0.9997557,0.000042341315,0.000048514798,0.000029854798,0.000108191336,0.000015443376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000371329,0.00062226906,0.00047354458,0.0010878806,0.00021115568,0.00067909784,0.0006118859,0.00059559604,0.0006616139],"category_scores_gemma":[0.0006424828,0.00019795643,0.00045574125,0.00064664223,0.00027665624,0.0006529811,0.00054150843,0.00060223043,0.00030318086],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060785114,0.0003053938,0.021075534,0.00034476098,0.00019857085,0.00071845204,0.00024283073,0.15741935,0.24597695,0.0021657792,0.0038369938,0.5671075],"study_design_scores_gemma":[0.000006952066,0.00009575419,0.012986776,0.00002714513,0.000041332092,0.00021084906,0.000093128474,0.94925904,0.03472886,0.0010134141,0.001513455,0.000023322275],"about_ca_topic_score_codex":0.0035915202,"about_ca_topic_score_gemma":0.005980262,"teacher_disagreement_score":0.0035915202,"about_ca_system_score_codex":0.00039863467,"about_ca_system_score_gemma":0.00038910963,"threshold_uncertainty_score":0.0071412325},"labels":[],"label_agreement":null},{"id":"W4378980448","doi":"10.1007/s12665-023-10998-w","title":"Electrical resistivity of saturated and unsaturated sediments in northeastern Canada","year":2023,"lang":"en","type":"article","venue":"Environmental Earth Sciences","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Rimouski; Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada; Québec Ministère du Développement Durable, de l’Environnement et de la Lutte Contre les Changements Climatiques","keywords":"Geology; Petrophysics; Silt; Borehole; Electrical resistivity and conductivity; Hydrogeology; Electrical resistivity tomography; Chart; Aquifer; Geomorphology; Mineralogy; Groundwater; Hydrology (agriculture); Geotechnical engineering; Porosity","score_opus":0.008704196903317444,"score_gpt":0.2091415738342096,"score_spread":0.20043737693089214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378980448","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99609715,0.00017383907,0.000091745664,0.00005283762,0.0000032623807,0.000005292287,0.0009804028,0.000012225933,0.002583372],"genre_scores_gemma":[0.9983102,0.000085461266,0.00007122145,0.000011776721,9.754576e-7,0.000001947559,0.00031852495,0.0000027613764,0.0011970972],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977905,0.00000885545,0.000010857709,0.000038340484,0.0000698744,0.000093032555],"domain_scores_gemma":[0.9994282,0.000053300893,0.00004360701,0.000010481914,0.0003863233,0.00007804001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014133021,0.00019664541,0.00027244174,0.001510658,0.0021479332,0.0011238069,0.0005270746,0.00030556528,0.0013201577],"category_scores_gemma":[0.00066324085,0.00019742677,0.00018838189,0.0028103162,0.0008095055,0.0002988167,0.0005657093,0.00025938614,0.00017408609],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038551676,0.000059491198,0.9644844,0.000088570894,0.000085904816,0.00045152786,0.0023766495,0.0043051057,0.0061488952,0.0007550275,0.0011473469,0.019711543],"study_design_scores_gemma":[0.000005344786,0.000007251814,0.9956096,0.000014007113,0.000014695269,0.00004935618,0.0015861602,0.0012684097,0.0004354237,0.00006531241,0.00093506865,0.000009331587],"about_ca_topic_score_codex":0.9891283,"about_ca_topic_score_gemma":0.9945714,"teacher_disagreement_score":0.010871708,"about_ca_system_score_codex":0.010866864,"about_ca_system_score_gemma":0.009909468,"threshold_uncertainty_score":0.078845024},"labels":[],"label_agreement":null},{"id":"W4379469973","doi":"10.3390/rs15112932","title":"Ground-Penetrating Radar and Electromagnetic Induction: Challenges and Opportunities in Agriculture","year":2023,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ground-penetrating radar; EMI; Environmental science; Radar; Remote sensing; Agriculture; Soil science; Geology; Computer science; Electromagnetic interference; Geography; Telecommunications","score_opus":0.048319308871969495,"score_gpt":0.2476327617571443,"score_spread":0.1993134528851748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379469973","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004357925,0.94636834,0.029174825,0.010894531,0.00082513987,0.000022666009,0.00003631654,0.00007515073,0.008245141],"genre_scores_gemma":[0.050195817,0.91191435,0.028502919,0.0030231443,0.0026643823,0.000033257693,0.00006545005,0.000029243976,0.0035714153],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987393,0.00047057593,0.00008121101,0.0001480953,0.00046158154,0.00009923561],"domain_scores_gemma":[0.9973015,0.0017404743,0.00026828528,0.00010116433,0.00046392332,0.00012466135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031696334,0.0006100581,0.0011182256,0.001236892,0.00039741557,0.0028108815,0.0008561539,0.003333916,0.0014527149],"category_scores_gemma":[0.002394266,0.00046095156,0.0003942675,0.0026302726,0.0027194214,0.0053870836,0.0012794957,0.002351996,0.00088924804],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010204462,0.00014223362,0.0040023,0.0038767343,0.000053661952,0.00070547307,0.00050898915,0.0037693412,0.009378835,0.09228517,0.011496725,0.87367857],"study_design_scores_gemma":[0.0000277987,0.0007442984,0.008606838,0.003076848,0.00007682388,0.006236595,0.0031816491,0.014736451,0.006334635,0.22981793,0.72688943,0.00027055753],"about_ca_topic_score_codex":0.0010230235,"about_ca_topic_score_gemma":0.0010182031,"teacher_disagreement_score":0.003333916,"about_ca_system_score_codex":0.0008066192,"about_ca_system_score_gemma":0.0010483259,"threshold_uncertainty_score":0.016762853},"labels":[],"label_agreement":null},{"id":"W4382930645","doi":"10.1016/j.jconhyd.2023.104220","title":"Dynamic monitoring of dielectric properties during two phase immiscible displacements in sand packs using frequency domain electromagnetic sweeps","year":2023,"lang":"en","type":"article","venue":"Journal of Contaminant Hydrology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Canada Excellence Research Chairs, Government of Canada","keywords":"Dielectric; Saturation (graph theory); Imbibition; Materials science; Porous medium; Frequency domain; Soil science; Mechanics; Porosity; Geotechnical engineering; Geology; Mineralogy; Composite material; Physics","score_opus":0.013781383508505248,"score_gpt":0.29397956024425553,"score_spread":0.28019817673575026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382930645","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986118,0.00001437797,0.0010211496,0.0000072604857,0.0000023861414,0.0000020703833,0.0000416163,0.000014562748,0.0002847383],"genre_scores_gemma":[0.9993162,0.000015355687,0.0005183073,0.000003925033,0.0000018313657,0.0000013842409,0.00003976483,0.0000021450485,0.00010113193],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999614,0.0000043712053,0.0000016484606,0.00000961187,0.000012496325,0.000010414688],"domain_scores_gemma":[0.9998952,0.00003561718,0.000020139067,0.000009224558,0.000022960132,0.00001684143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007560864,0.00012981947,0.00014831685,0.0003621175,0.00015093898,0.00018518708,0.00012988584,0.00017452137,0.000351081],"category_scores_gemma":[0.00022944128,0.00007967149,0.00008073395,0.00027801452,0.0001801245,0.00025141344,0.00016774517,0.00015704194,0.00008327856],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017075599,0.00043082357,0.19760434,0.00009301491,0.00008824987,0.0007951208,0.000613027,0.011126366,0.7472313,0.00028765158,0.00047261512,0.03954984],"study_design_scores_gemma":[0.000048515925,0.00080798287,0.77082443,0.000018117791,0.000077044206,0.00054970116,0.00084759673,0.11714029,0.1082124,0.00022894748,0.0012037958,0.00004123486],"about_ca_topic_score_codex":0.00096880074,"about_ca_topic_score_gemma":0.0014213752,"teacher_disagreement_score":0.00096880074,"about_ca_system_score_codex":0.0000767566,"about_ca_system_score_gemma":0.0000830226,"threshold_uncertainty_score":0.0019263625},"labels":[],"label_agreement":null},{"id":"W4383616297","doi":"10.1093/gji/ggad272","title":"3-D forward modelling of controlled-source frequency-domain electromagnetic data using the meshless generalized finite-difference method","year":2023,"lang":"en","type":"article","venue":"Geophysical Journal International","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"National Natural Science Foundation of China","keywords":"Discretization; Solver; Interpolation (computer graphics); Applied mathematics; Finite element method; Finite difference method; Finite difference; Mathematics; Basis function; Algorithm; Computer science; Mathematical analysis; Mathematical optimization; Physics","score_opus":0.06926261992635263,"score_gpt":0.326785513048858,"score_spread":0.25752289312250537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383616297","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004397709,0.000015529133,0.9938122,0.000033059292,0.000018464603,0.0000138479045,0.000046129186,0.0002585291,0.001404559],"genre_scores_gemma":[0.33309823,0.00018508469,0.65768814,0.000094684125,0.0000257014,0.00014657722,0.0005070139,0.00018557854,0.008068971],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999845,0.000032585453,0.0000091749735,0.000019656161,0.00008483388,0.000008630564],"domain_scores_gemma":[0.99980897,0.00006832,0.000019935167,0.000036847967,0.00006023575,0.0000057828215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002922339,0.00031250826,0.00032244512,0.00031687194,0.00019062913,0.00060990866,0.00074494135,0.0005178193,0.002653592],"category_scores_gemma":[0.0006700471,0.000218589,0.0006380314,0.00024376193,0.00027477014,0.000523456,0.0004746226,0.00039384732,0.00061607576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055221244,0.000026923568,0.00074927625,0.0001396684,0.000028878987,0.00022984859,0.00019177081,0.85747397,0.038689464,0.032004457,0.0016456574,0.068764836],"study_design_scores_gemma":[0.000004059001,0.000009540588,0.000097541066,0.0000067950723,0.0000032563462,0.000044363474,0.000012055625,0.98896456,0.004861629,0.0021055434,0.003883403,0.000007226008],"about_ca_topic_score_codex":0.0016542422,"about_ca_topic_score_gemma":0.0013881155,"teacher_disagreement_score":0.002653592,"about_ca_system_score_codex":0.00031986038,"about_ca_system_score_gemma":0.00045972748,"threshold_uncertainty_score":0.008877158},"labels":[],"label_agreement":null},{"id":"W4385238018","doi":"10.1177/02783649231183460","title":"GROUNDED: A localizing ground penetrating radar evaluation dataset for learning to localize in inclement weather","year":2023,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Office of Naval Research; Lincoln Laboratory, Massachusetts Institute of Technology","keywords":"Ground truth; Odometry; Lidar; Computer science; Artificial intelligence; Global Positioning System; Radar; Ground-penetrating radar; Visual odometry; Computer vision; GNSS applications; Remote sensing; Inertial measurement unit; Robot; Geography; Mobile robot","score_opus":0.1881420423010262,"score_gpt":0.4727939130794336,"score_spread":0.28465187077840737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385238018","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19371803,0.005292897,0.032273877,0.0019792018,0.0012206185,0.0010604315,0.71462816,0.034961864,0.014865004],"genre_scores_gemma":[0.095209025,0.00047466828,0.028421536,0.00037532134,0.000086944136,0.0004001574,0.8707293,0.00053054094,0.0037725035],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99857306,0.00026991722,0.00012035833,0.0005206335,0.0003508374,0.0001652667],"domain_scores_gemma":[0.99856,0.0003220834,0.00013204568,0.0004256101,0.00041929906,0.00014101423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001075866,0.0038230214,0.0012692811,0.0023240512,0.0009273629,0.0014485837,0.0045825043,0.002733533,0.004100971],"category_scores_gemma":[0.0037921635,0.000522233,0.0016500367,0.0022692084,0.0008292419,0.0015168446,0.0018761068,0.0019600545,0.006139634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009792133,0.0015388976,0.019737279,0.0032247775,0.00084003573,0.0009985955,0.00028450743,0.095999144,0.008041323,0.0017732666,0.7184149,0.14816819],"study_design_scores_gemma":[0.0012781739,0.0018873365,0.06995949,0.0009799594,0.00052863074,0.0024630078,0.0016172545,0.500691,0.029089505,0.008591694,0.38249537,0.00041861288],"about_ca_topic_score_codex":0.041408867,"about_ca_topic_score_gemma":0.08767578,"teacher_disagreement_score":0.041408867,"about_ca_system_score_codex":0.0017499736,"about_ca_system_score_gemma":0.0012736183,"threshold_uncertainty_score":0.08233565},"labels":[],"label_agreement":null},{"id":"W4385282720","doi":"10.1080/07011784.2023.2234864","title":"Multitechnique approach for characterizing the hydrogeology of aquifer systems: application to the Mauricie region of Québec, Canada","year":2023,"lang":"en","type":"article","venue":"Canadian Water Resources Journal / Revue canadienne des ressources hydriques","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Waterloo; Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydrogeology; Aquifer; Geology; Geomorphology; Hydrology (agriculture); Geotechnical engineering; Groundwater","score_opus":0.015536947936749238,"score_gpt":0.20337284511505216,"score_spread":0.18783589717830293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385282720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.521518,0.00320066,0.41722283,0.0014667335,0.0000770899,0.000889708,0.012665995,0.0025636677,0.04039537],"genre_scores_gemma":[0.76342905,0.0013652373,0.22136497,0.000103329556,0.000017086595,0.0003239062,0.0019759384,0.00011697445,0.011303404],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9997278,0.00003334061,0.0000112416055,0.000054465287,0.000121488345,0.00005174197],"domain_scores_gemma":[0.99962425,0.00009093091,0.000035687524,0.000021255923,0.00019927295,0.000028629878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040713063,0.00063404633,0.00028386034,0.0032764517,0.0013809353,0.0013727373,0.0007496279,0.00042230112,0.002858197],"category_scores_gemma":[0.0010350987,0.00017592682,0.00036255844,0.0036298765,0.0003653174,0.00036345632,0.00068705936,0.00036696965,0.0002704642],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013239504,0.0002262306,0.16959961,0.0006487292,0.00019665847,0.0011644149,0.002669557,0.22744882,0.048827536,0.010812927,0.010179412,0.5280937],"study_design_scores_gemma":[0.00002673209,0.000053915606,0.42613286,0.00009372672,0.00005110492,0.0003542533,0.003385837,0.5332744,0.006772094,0.0019840857,0.027769549,0.0001013615],"about_ca_topic_score_codex":0.9480401,"about_ca_topic_score_gemma":0.9734268,"teacher_disagreement_score":0.051959872,"about_ca_system_score_codex":0.008162445,"about_ca_system_score_gemma":0.0066095325,"threshold_uncertainty_score":0.104531705},"labels":[],"label_agreement":null},{"id":"W4385453090","doi":"10.1109/tap.2023.3298974","title":"Multifrequency Linear Sampling Method on Experimental Datasets","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Antennas and Propagation","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ministerio de Universidades; Ministerio de Ciencia e Innovación; Air Force Office of Scientific Research; Universidad de Oviedo; European Commission","keywords":"Sampling (signal processing); Computer science; Data set; Fresnel zone; Fresnel integral; Set (abstract data type); Remote sensing; Algorithm; Optics; Fresnel diffraction; Physics; Geology; Telecommunications; Artificial intelligence","score_opus":0.04887641466977825,"score_gpt":0.33778588155051087,"score_spread":0.2889094668807326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385453090","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29821545,0.0008766895,0.6935487,0.00033512127,0.00010278694,0.0002178782,0.0026405323,0.0025414538,0.0015213651],"genre_scores_gemma":[0.53492326,0.00026044226,0.45555684,0.00014989634,0.00007360561,0.0003573237,0.007544216,0.00018518536,0.00094924885],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99730873,0.0013028082,0.00017632786,0.0005525472,0.00053352513,0.00012607835],"domain_scores_gemma":[0.9874533,0.0070975465,0.0007609303,0.002935348,0.0016191604,0.00013384738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0069446145,0.00073817105,0.00055975415,0.0020536704,0.00039478554,0.0008581684,0.0012759707,0.0011810574,0.0012305178],"category_scores_gemma":[0.020730864,0.00020663378,0.00065928843,0.001662049,0.00061277766,0.000883998,0.000938281,0.0007632348,0.00057541515],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009855981,0.0005379423,0.025923613,0.00065455807,0.00027041,0.00028726764,0.00034953267,0.46136275,0.040850025,0.0061897086,0.006212204,0.45637652],"study_design_scores_gemma":[0.000035100766,0.00018843077,0.005836116,0.000026075995,0.000019094095,0.00014722283,0.000097489115,0.97788596,0.010271045,0.002878584,0.0025919673,0.000022834603],"about_ca_topic_score_codex":0.0029344913,"about_ca_topic_score_gemma":0.0039145243,"teacher_disagreement_score":0.0069446145,"about_ca_system_score_codex":0.0005862474,"about_ca_system_score_gemma":0.00062804105,"threshold_uncertainty_score":0.03672707},"labels":[],"label_agreement":null},{"id":"W4385494169","doi":"10.1201/9781032638294-17","title":"Inclusion of Ground Penetrating Radar within traditional deck testing and life cycle analysis","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ground-penetrating radar; Inclusion (mineral); Deck; Radar; Geology; Remote sensing; Engineering; Telecommunications; Structural engineering; Mineralogy","score_opus":0.05521577426591497,"score_gpt":0.25400802177507326,"score_spread":0.19879224750915828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385494169","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023863124,0.00668908,0.5461958,0.0005290721,0.00029902149,0.00030528204,0.0017612767,0.0021755667,0.41818187],"genre_scores_gemma":[0.1551618,0.008750226,0.3848928,0.0002471681,0.000112927795,0.0002013046,0.00212916,0.0007912147,0.4477135],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995628,0.00004991656,0.000013013147,0.00004470994,0.0003085159,0.000021033571],"domain_scores_gemma":[0.99936885,0.0002773264,0.000024884674,0.00005192707,0.00026494035,0.000012115603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050895923,0.00047607845,0.0004039168,0.0019506569,0.00032063772,0.0016855386,0.0007016065,0.00040129354,0.0100102145],"category_scores_gemma":[0.0008170377,0.00028359093,0.00036720952,0.0021525433,0.00032069336,0.00086731877,0.00031584254,0.000433886,0.0039032134],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033503078,0.000063606894,0.0031174056,0.00039173712,0.000020383664,0.00027020494,0.00029023032,0.041033287,0.010389881,0.04135495,0.016472954,0.8865618],"study_design_scores_gemma":[0.0000129149275,0.00019901527,0.020918319,0.0004836795,0.00006523421,0.0017250822,0.0005731566,0.21543647,0.023842482,0.06482757,0.6717917,0.00012445888],"about_ca_topic_score_codex":0.020085257,"about_ca_topic_score_gemma":0.04084619,"teacher_disagreement_score":0.020085257,"about_ca_system_score_codex":0.0015498705,"about_ca_system_score_gemma":0.0012569256,"threshold_uncertainty_score":0.03993666},"labels":[],"label_agreement":null},{"id":"W4385580620","doi":"10.1002/nsg.12264","title":"Relating GPR system parameters to regulatory emissions limits","year":2023,"lang":"en","type":"article","venue":"Near Surface Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Amgen (Canada); Canadian Criminal Justice Association","funders":"Industry Canada","keywords":"Ground-penetrating radar; Computer science; Radar; Remote sensing; Risk analysis (engineering); Geology; Telecommunications; Business","score_opus":0.023780349536067624,"score_gpt":0.2544883690372034,"score_spread":0.23070801950113579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385580620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47958443,0.001018373,0.44179657,0.0012710931,0.00020585465,0.00022680625,0.0015218711,0.0020027384,0.07237219],"genre_scores_gemma":[0.9914488,0.00010255619,0.007339268,0.00008358912,0.000008095082,0.00004951552,0.0002749413,0.00007020226,0.00062302826],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99419516,0.0021830269,0.00036090985,0.0004960538,0.002466651,0.00029817162],"domain_scores_gemma":[0.98226273,0.010948211,0.002024664,0.001802067,0.0028643692,0.00009795198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005882254,0.00034849028,0.000313145,0.0009626678,0.00035385648,0.0019033815,0.0009724003,0.001395471,0.0021122692],"category_scores_gemma":[0.023976672,0.00021645859,0.00030402662,0.0005410312,0.0010891291,0.0012874765,0.00082986435,0.0009612037,0.0007362152],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003803866,0.00013773853,0.016915254,0.00042570292,0.000057367768,0.00030017627,0.00049601716,0.82062,0.06246922,0.042601448,0.0037155072,0.051881194],"study_design_scores_gemma":[0.00007618955,0.000849923,0.02439764,0.00032326856,0.00008456157,0.0008067118,0.0008131226,0.7514883,0.15732959,0.030374223,0.03320607,0.00025035706],"about_ca_topic_score_codex":0.0015736454,"about_ca_topic_score_gemma":0.0005153374,"teacher_disagreement_score":0.005882254,"about_ca_system_score_codex":0.0010958293,"about_ca_system_score_gemma":0.0005529296,"threshold_uncertainty_score":0.031108677},"labels":[],"label_agreement":null},{"id":"W4385722662","doi":"10.1061/9780784485033.042","title":"Advanced Condition Assessment Using Pipe Penetrating Radar in Los Angeles County, California","year":2023,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Coquitlam College","funders":"","keywords":"Rebar; Water pipe; Ground-penetrating radar; Trenchless technology; Pipe; Corrosion; Geotechnical engineering; Reinforced concrete; Pipeline transport; Piping; Geology; Engineering; Radar; Materials science; Structural engineering; Composite material","score_opus":0.022888123928527657,"score_gpt":0.32590881351097295,"score_spread":0.30302068958244527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385722662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9804837,0.0005115181,0.0010922474,0.00024271528,0.000020675232,0.000119825854,0.0028144459,0.0002954097,0.014419517],"genre_scores_gemma":[0.9858311,0.0005115423,0.002827811,0.000053913667,0.00001651867,0.00007430181,0.002641599,0.000017860279,0.0080253035],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976546,0.00002145005,0.00001629927,0.00006881148,0.00010174344,0.000026188953],"domain_scores_gemma":[0.99917716,0.00006771306,0.0000974344,0.000020627047,0.000561629,0.00007545478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002839716,0.00021209617,0.00018572906,0.0013792923,0.0005347943,0.0007424951,0.00030151304,0.00022863898,0.0017250946],"category_scores_gemma":[0.00066308345,0.00017250229,0.000092679715,0.0009949139,0.00015151435,0.00034649498,0.0002993411,0.00023097356,0.0003026189],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019804468,0.00040721326,0.89060825,0.00022145122,0.00010412859,0.0012211604,0.0024761313,0.005800285,0.006355748,0.0003058957,0.017169602,0.07513195],"study_design_scores_gemma":[0.000025691344,0.00013509684,0.97917193,0.000056583758,0.000039909457,0.00011046817,0.0026088434,0.0058524525,0.00060630334,0.000054791788,0.011318863,0.000019136589],"about_ca_topic_score_codex":0.3908397,"about_ca_topic_score_gemma":0.5144034,"teacher_disagreement_score":0.3908397,"about_ca_system_score_codex":0.0015167262,"about_ca_system_score_gemma":0.0014220793,"threshold_uncertainty_score":0.77712953},"labels":[],"label_agreement":null},{"id":"W4385723023","doi":"10.1061/9780784485033.041","title":"Advanced Multi-Sensor Inspection Critical Condition Assessment on Wastewater Infrastructure","year":2023,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Coquitlam College","funders":"","keywords":"Critical infrastructure; Wastewater; Computer science; Environmental science; Reliability engineering; Engineering; Computer security; Environmental engineering","score_opus":0.0170195314267666,"score_gpt":0.3415681970963849,"score_spread":0.3245486656696183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385723023","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91897595,0.00028538742,0.07637377,0.000114901675,0.000019011763,0.00010471039,0.0002847127,0.0004332367,0.0034083321],"genre_scores_gemma":[0.99009913,0.0000753563,0.009123638,0.000009398699,0.0000019032617,0.000010791374,0.000057833913,0.0000034971438,0.00061852037],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99968266,0.00006079048,0.000012264886,0.000044845554,0.00016162785,0.000037801507],"domain_scores_gemma":[0.9997639,0.000049247017,0.000041659147,0.000019755651,0.00010657766,0.000018856546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028736048,0.00036245305,0.0002799466,0.00095238496,0.0002180322,0.00041350172,0.0003441018,0.0003960323,0.000651601],"category_scores_gemma":[0.00048885285,0.00014719872,0.00015318712,0.0005464871,0.00021387082,0.00039452294,0.0004664815,0.00017167677,0.0001593135],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000652778,0.0003006967,0.09357639,0.00039981652,0.000060860548,0.0012330657,0.00042739537,0.19775721,0.34803894,0.0009169625,0.0025600814,0.35407582],"study_design_scores_gemma":[0.000020653135,0.0008341041,0.14106487,0.00004480635,0.00003614248,0.00039471424,0.0008545238,0.77934176,0.07393005,0.0011065217,0.0023182866,0.00005361125],"about_ca_topic_score_codex":0.0050990465,"about_ca_topic_score_gemma":0.008998682,"teacher_disagreement_score":0.0050990465,"about_ca_system_score_codex":0.0007776998,"about_ca_system_score_gemma":0.000312178,"threshold_uncertainty_score":0.01013875},"labels":[],"label_agreement":null},{"id":"W4385724439","doi":"10.1061/9780784485026.034","title":"Peel Back the Layers on a Critical Feedermain Assessment and Repair Project","year":2023,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Regional Municipality of Ottawa","funders":"","keywords":"Computer science","score_opus":0.04703255347982775,"score_gpt":0.3738754924614318,"score_spread":0.32684293898160405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385724439","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7613486,0.0012517667,0.027972542,0.0075344434,0.000477738,0.0020901314,0.0023519192,0.0038183467,0.19315447],"genre_scores_gemma":[0.7739994,0.00079628755,0.025633497,0.0008492611,0.000027266904,0.00020392476,0.0015706368,0.0003341877,0.19658539],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99913365,0.00006132198,0.0000128082165,0.00009312148,0.00048721675,0.0002117646],"domain_scores_gemma":[0.9972849,0.00011888085,0.000091934824,0.0001452389,0.0016132841,0.00074577756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001149098,0.0005933048,0.0001635442,0.0010699618,0.003430869,0.0016530252,0.0011987333,0.0010317882,0.013931256],"category_scores_gemma":[0.0021503526,0.00041838232,0.0002815725,0.00044920624,0.0008836401,0.00095098955,0.00169918,0.000993634,0.0019161936],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001068074,0.0011306249,0.07519188,0.000543616,0.000094972514,0.008069015,0.014288356,0.008093592,0.069090836,0.0076786648,0.16101626,0.653734],"study_design_scores_gemma":[0.00013440648,0.00212916,0.17213014,0.00040741512,0.000090424124,0.0020179565,0.020797553,0.010097305,0.030872324,0.0026243408,0.75855136,0.00014765732],"about_ca_topic_score_codex":0.4516762,"about_ca_topic_score_gemma":0.73519814,"teacher_disagreement_score":0.4516762,"about_ca_system_score_codex":0.00927355,"about_ca_system_score_gemma":0.019494446,"threshold_uncertainty_score":0.8980943},"labels":[],"label_agreement":null},{"id":"W4385885811","doi":"10.55274/r0012178","title":"PR686-203903-R02 Ongoing InSAR Geohazard Monitoring of Pipeline Right-of Ways in the Appalachian Mountains","year":2021,"lang":"en","type":"report","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"3v Geomatics (Canada)","funders":"","keywords":"Remote sensing; Interferometric synthetic aperture radar; Landslide; Geohazard; Lidar; Pipeline (software); Radar; Synthetic aperture radar; Geology; Computer science; Environmental science; Telecommunications; Seismology","score_opus":0.05085645745152201,"score_gpt":0.3086468592957605,"score_spread":0.2577904018442385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385885811","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012173256,0.00045439377,0.020563746,0.0026950208,0.0012263255,0.0010648235,0.04247507,0.012346886,0.9070006],"genre_scores_gemma":[0.028314782,0.00046676135,0.029773857,0.0009410948,0.00022358133,0.00057825877,0.06508914,0.0024439865,0.87216866],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99899286,0.00014027712,0.000026365962,0.00014417879,0.00054511614,0.00015128696],"domain_scores_gemma":[0.9984425,0.00017993966,0.00007504191,0.0002641226,0.00081746216,0.00022101274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001676122,0.00079934025,0.00055033143,0.0010990452,0.00097118603,0.0023238203,0.0011653623,0.0020263204,0.27206847],"category_scores_gemma":[0.0010870922,0.00034689673,0.0003155118,0.0010795369,0.00043295723,0.0007055212,0.0013449833,0.00080949895,0.27455965],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043629346,0.00062383665,0.0039728815,0.00034686926,0.00005188636,0.00035049676,0.000097560835,0.0016364439,0.021020565,0.005331927,0.6682157,0.29791552],"study_design_scores_gemma":[0.0000916825,0.0002643738,0.006149379,0.00007176758,0.000009946268,0.00017244657,0.00012355314,0.0028520871,0.0063491208,0.0009468543,0.9829479,0.00002083107],"about_ca_topic_score_codex":0.017676312,"about_ca_topic_score_gemma":0.035906594,"teacher_disagreement_score":0.27206847,"about_ca_system_score_codex":0.0010032319,"about_ca_system_score_gemma":0.0023860093,"threshold_uncertainty_score":0.9101597},"labels":[],"label_agreement":null},{"id":"W4385887773","doi":"10.55274/r0011303","title":"L30510 Earth Current Effects on Buried Pipelines","year":2008,"lang":"en","type":"report","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Current (fluid); Computer program; Pipeline transport; Stray voltage; Pipeline (software); Field (mathematics); Phase (matter); Direct current; Engineering; Geology; Marine engineering; Computer science; Electrical engineering; Physics; Mechanical engineering","score_opus":0.038808582460635885,"score_gpt":0.32097790297610007,"score_spread":0.2821693205154642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385887773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9691984,0.00021360228,0.016280519,0.00010005266,0.000027947108,0.000034785317,0.00087542855,0.0010618052,0.012207488],"genre_scores_gemma":[0.99379647,0.0001050363,0.0012755359,0.000011125718,0.000002775793,0.0000042213887,0.00030511894,0.000038000835,0.0044618677],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99976295,0.000033806915,0.000006382827,0.000016004977,0.00015413848,0.000026748341],"domain_scores_gemma":[0.9995566,0.00016092556,0.00006738331,0.0000310173,0.00016366706,0.000020321071],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022344384,0.0002590204,0.00019481927,0.00039270983,0.00021632429,0.0002477714,0.0002138537,0.0002261375,0.007233127],"category_scores_gemma":[0.00064502563,0.00009044307,0.00017892916,0.00033668484,0.0002563552,0.00031631868,0.00023188618,0.00017971295,0.00089476054],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020011594,0.000358575,0.032464154,0.00057071395,0.00006506985,0.0015140987,0.00043684395,0.13536255,0.70173025,0.0019292169,0.007028858,0.11653856],"study_design_scores_gemma":[0.0002486318,0.007709096,0.08095117,0.00009679993,0.00011713606,0.0011008203,0.0005789116,0.19160593,0.69666153,0.0016717848,0.01919338,0.00006484303],"about_ca_topic_score_codex":0.0080665,"about_ca_topic_score_gemma":0.0074008033,"teacher_disagreement_score":0.0080665,"about_ca_system_score_codex":0.00064038776,"about_ca_system_score_gemma":0.00033494626,"threshold_uncertainty_score":0.024197161},"labels":[],"label_agreement":null},{"id":"W4386164040","doi":"10.1111/1365-2478.13421","title":"Ultrasonic S‐wave indirectly detects the very narrow gap at contact of grains: Glass beads and Ottawa sands","year":2023,"lang":"en","type":"article","venue":"Geophysical Prospecting","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Geology; Ultrasonic sensor; Cementation (geology); Permeability (electromagnetism); Porosity; Mineralogy; Brine; Biot number; Geotechnical engineering; Materials science; Composite material; Mechanics; Cement; Chemistry; Acoustics","score_opus":0.01890744276231547,"score_gpt":0.2416469427457214,"score_spread":0.22273949998340592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386164040","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968118,0.000065785396,0.0021625618,0.000010196657,0.0000021526039,0.000005896467,0.00004643857,0.000044974146,0.0008501482],"genre_scores_gemma":[0.99806505,0.000036585676,0.001140939,0.0000044195253,5.755938e-7,0.0000026932257,0.000040408773,0.0000034765621,0.0007059116],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99985504,0.000009476628,0.000007806809,0.00003479141,0.000053084925,0.00003987006],"domain_scores_gemma":[0.99981457,0.000049608097,0.000047958623,0.000014963535,0.000041270516,0.000031690008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009428703,0.00024082258,0.0001613209,0.0007722916,0.00019529929,0.00046950456,0.00025207398,0.00027091068,0.0014801035],"category_scores_gemma":[0.0003076354,0.00026849334,0.00013440233,0.00038981042,0.0008123721,0.000292475,0.00037922763,0.0002066844,0.00020552713],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042423574,0.000019803318,0.047787454,0.000080614314,0.000025294528,0.00012493748,0.00023551306,0.0011169839,0.9401161,0.00032134735,0.000057402834,0.0096903015],"study_design_scores_gemma":[0.000023280052,0.00022783311,0.28346565,0.000015121744,0.00008141144,0.0002525784,0.0008582368,0.013981864,0.69971615,0.00017584149,0.0011655374,0.000036442794],"about_ca_topic_score_codex":0.030327715,"about_ca_topic_score_gemma":0.058179,"teacher_disagreement_score":0.030327715,"about_ca_system_score_codex":0.0005495135,"about_ca_system_score_gemma":0.00043969307,"threshold_uncertainty_score":0.060302377},"labels":[],"label_agreement":null},{"id":"W4386265290","doi":"10.1109/jsen.2023.3308511","title":"Three-Dimensional Metal Pipe Detection for Autonomous Excavators Using Inexpensive Magnetometer Sensors","year":2023,"lang":"en","type":"article","venue":"IEEE Sensors Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Excavator; Magnetometer; Materials science; Optoelectronics; Engineering; Mechanical engineering; Physics; Magnetic field","score_opus":0.03743571310099028,"score_gpt":0.28567759238808305,"score_spread":0.24824187928709276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386265290","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44296455,0.0003076922,0.552254,0.00018890208,0.00009658825,0.0000545809,0.00013656389,0.0010411277,0.0029560123],"genre_scores_gemma":[0.9159746,0.00012285801,0.08296294,0.000035252586,0.000010401054,0.000033017277,0.000044714823,0.000011631511,0.0008046881],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99982566,0.00002898317,0.0000065949657,0.00004098652,0.000083530096,0.000014258759],"domain_scores_gemma":[0.9998116,0.00006367054,0.000033502587,0.000018802353,0.00006227936,0.000010152902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017918833,0.00037776123,0.00028488817,0.00052946,0.00014260226,0.0003059253,0.00046409754,0.00050746824,0.0005703325],"category_scores_gemma":[0.0005414705,0.00022202355,0.00020831445,0.00042326434,0.00023481007,0.0005260321,0.0003385478,0.00018843201,0.0001636779],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045565964,0.0001633072,0.014007378,0.0003834054,0.0000638452,0.00041140948,0.000446634,0.0506919,0.6537571,0.001649751,0.0015137601,0.2764558],"study_design_scores_gemma":[0.000057319226,0.00038868203,0.018509027,0.000027911969,0.000038214133,0.0004053419,0.0002743685,0.8341269,0.14149946,0.0010849809,0.0035206894,0.000067186644],"about_ca_topic_score_codex":0.000711768,"about_ca_topic_score_gemma":0.0019379152,"teacher_disagreement_score":0.000711768,"about_ca_system_score_codex":0.00021259383,"about_ca_system_score_gemma":0.00023456775,"threshold_uncertainty_score":0.0019079447},"labels":[],"label_agreement":null},{"id":"W4386293523","doi":"10.1111/sum.12964","title":"Combining ground penetrating radar methodologies enables large‐scale mapping of soil horizon thickness and bulk density in boreal forests","year":2023,"lang":"en","type":"article","venue":"Soil Use and Management","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland; Canada Research Chairs","keywords":"Ground-penetrating radar; Soil science; Environmental science; Taiga; Soil map; Soil survey; Soil morphology; Transect; Soil horizon; Soil water; Remote sensing; Radar; Geology; Hydrology (agriculture); Soil classification; Geography; Geotechnical engineering; Forestry","score_opus":0.049891175295098726,"score_gpt":0.28234552037085053,"score_spread":0.2324543450757518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386293523","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33038333,0.61004853,0.04617111,0.00063609256,0.00021409028,0.00012035413,0.0016326918,0.00015928238,0.010634549],"genre_scores_gemma":[0.657978,0.29261765,0.047028385,0.0002879188,0.00011651136,0.00009030766,0.00081265037,0.00003098257,0.0010376397],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9995584,0.000101997386,0.000055788347,0.00010772382,0.00014333708,0.000032756736],"domain_scores_gemma":[0.9991881,0.0003421563,0.00015063523,0.000031022017,0.00027191377,0.000016136952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014220413,0.00033122272,0.00038103736,0.0014500031,0.00012166248,0.0008502023,0.00040888865,0.00029280334,0.00031767684],"category_scores_gemma":[0.0010327632,0.00021496949,0.00047648657,0.0020391955,0.0002520687,0.0009272109,0.0002701601,0.0002699724,0.000092890914],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000115949326,0.00005027628,0.053896803,0.013292371,0.00062404625,0.00041926702,0.00054719165,0.00229162,0.07108186,0.0009986325,0.0017584608,0.85492355],"study_design_scores_gemma":[0.00004195301,0.001219899,0.7401876,0.00566022,0.0038101093,0.003645824,0.0034693675,0.009467295,0.06738514,0.0033744352,0.16148818,0.0002499977],"about_ca_topic_score_codex":0.005151005,"about_ca_topic_score_gemma":0.012466514,"teacher_disagreement_score":0.005151005,"about_ca_system_score_codex":0.00019950852,"about_ca_system_score_gemma":0.00033699875,"threshold_uncertainty_score":0.010242045},"labels":[],"label_agreement":null},{"id":"W4386320551","doi":"10.1109/trs.2023.3310860","title":"The Detection of Concealed Explosives Using the MiDSIX System","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Radar Systems","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre For Cold Ocean Resources Engineering","funders":"Public Works and Government Services Canada","keywords":"Explosive material; Explosive detection; SIGNAL (programming language); Computer science; Acoustics; Doppler effect; Radar; Loudspeaker; Computer security; Real-time computing; Remote sensing; Telecommunications; Geology; Physics; Geography","score_opus":0.03040827220122129,"score_gpt":0.25692175703649517,"score_spread":0.2265134848352739,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386320551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7613015,0.0024755069,0.22228427,0.00033190812,0.00041292608,0.00030163408,0.00049411313,0.0025704596,0.009827714],"genre_scores_gemma":[0.8875008,0.0005156113,0.10624021,0.00017433484,0.000046467816,0.00006513709,0.00026377782,0.000027477106,0.0051661027],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99937326,0.00007620926,0.000028202432,0.00010762952,0.00036717736,0.000047518428],"domain_scores_gemma":[0.9996145,0.00007393419,0.00010578511,0.000045766417,0.000119302276,0.000040719588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040043183,0.00036849163,0.00050329167,0.00061938487,0.00023135068,0.00053512596,0.0006482673,0.0006040003,0.0016480655],"category_scores_gemma":[0.0005572031,0.0001944915,0.00021977918,0.00030439324,0.00028093698,0.00061237626,0.00069500454,0.00045968368,0.00051416794],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049320573,0.000060833438,0.0025719975,0.00013466494,0.000015904121,0.00015630212,0.00010548271,0.00056806,0.9567653,0.0006849678,0.00046703886,0.037976325],"study_design_scores_gemma":[0.00007570628,0.003019751,0.013450535,0.000049384187,0.000065472224,0.0024003692,0.0001940759,0.034606837,0.93374133,0.00033376494,0.011959104,0.00010370643],"about_ca_topic_score_codex":0.00032288808,"about_ca_topic_score_gemma":0.0005414619,"teacher_disagreement_score":0.0016480655,"about_ca_system_score_codex":0.00024538845,"about_ca_system_score_gemma":0.00025669567,"threshold_uncertainty_score":0.0055133104},"labels":[],"label_agreement":null},{"id":"W4386605733","doi":"10.1201/9781003386889-172","title":"Using non-destructive testing to evaluate geogrid-stabilised aggregates subject to accelerated traffic loading","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geogrid; Materials science; Composite material; Geotechnical engineering; Forensic engineering; Engineering; Reinforcement","score_opus":0.12111460207820006,"score_gpt":0.3253202697661027,"score_spread":0.2042056676879026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386605733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9464617,0.00084751105,0.039807808,0.000028487066,0.000030449166,0.000097510296,0.0003439283,0.00025635623,0.012126255],"genre_scores_gemma":[0.928883,0.00096622674,0.04485684,0.000048910046,0.00000790802,0.000100942234,0.00057896355,0.00006672688,0.024490502],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99968934,0.000026117124,0.000012224273,0.00003475411,0.00022098736,0.000016642556],"domain_scores_gemma":[0.9997174,0.00009522681,0.000026924965,0.0000383781,0.0001073115,0.000014804503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038551434,0.0002518489,0.00014415536,0.00053598406,0.00017348558,0.00035295324,0.00043112223,0.00025371285,0.001235176],"category_scores_gemma":[0.00026930321,0.00012211775,0.00013004831,0.00047892088,0.00029948668,0.00019073913,0.0002060025,0.00016443268,0.0005157573],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006247799,0.00006259083,0.0031251723,0.000078361445,0.0000075519365,0.000098351884,0.00013901595,0.0025899399,0.9559541,0.00018715313,0.00021495143,0.037480436],"study_design_scores_gemma":[0.000008398469,0.00089267443,0.040838175,0.000021465925,0.000025481355,0.00037363727,0.00029632347,0.009162941,0.94277763,0.0002614464,0.0053187334,0.000022983195],"about_ca_topic_score_codex":0.00172034,"about_ca_topic_score_gemma":0.00951891,"teacher_disagreement_score":0.00172034,"about_ca_system_score_codex":0.0002786206,"about_ca_system_score_gemma":0.00020236528,"threshold_uncertainty_score":0.004132092},"labels":[],"label_agreement":null},{"id":"W4386642634","doi":"10.1061/jpsea2.pseng-1444","title":"Automatic Detection and Classification of Underground Objects in Ground Penetrating Radar Images Using Machine Learning","year":2023,"lang":"en","type":"article","venue":"Journal of Pipeline Systems Engineering and Practice","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Ground-penetrating radar; Artificial intelligence; Radar; Remote sensing; Radar imaging; Computer science; Computer vision; Support vector machine; Geology; Mining engineering","score_opus":0.029179502968223133,"score_gpt":0.2916267604459992,"score_spread":0.2624472574777761,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386642634","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39299247,0.000542508,0.5995847,0.0001586345,0.00009102988,0.00020184173,0.00077117037,0.0030757778,0.0025818422],"genre_scores_gemma":[0.627513,0.00038781972,0.36737883,0.00010785028,0.000040407693,0.0001159497,0.0024888585,0.00010961534,0.0018577952],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995796,0.00005311947,0.000034570574,0.000116052805,0.000120548946,0.00009602196],"domain_scores_gemma":[0.9994624,0.00015004104,0.000093966475,0.00007525323,0.00019076954,0.000027505377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056402007,0.0007372958,0.000632948,0.002627483,0.00025761657,0.00085528713,0.00066712376,0.00079241,0.0006454604],"category_scores_gemma":[0.0010841128,0.00024311437,0.00060432334,0.001242773,0.00031707744,0.00075265893,0.0005182492,0.0005191321,0.0008316772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031850085,0.0003831234,0.015394553,0.00021751772,0.00007104871,0.00048323927,0.00015351572,0.038268067,0.10709478,0.0011478157,0.004155665,0.83231217],"study_design_scores_gemma":[0.000023264276,0.00022774056,0.026666682,0.000058468315,0.00006420269,0.0004730959,0.00030067345,0.8902984,0.07703273,0.0014751968,0.0033443102,0.000035209945],"about_ca_topic_score_codex":0.0017148139,"about_ca_topic_score_gemma":0.0023988308,"teacher_disagreement_score":0.002627483,"about_ca_system_score_codex":0.0002697632,"about_ca_system_score_gemma":0.00038943344,"threshold_uncertainty_score":0.0034096837},"labels":[],"label_agreement":null},{"id":"W4386688281","doi":"10.3390/en16186541","title":"Integrated Geophysical and Geochemical Analyses for Assessment of Potential Coal Prospects in Tirah Area, Khyber Pakhtunkhwa, Pakistan","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of the Fraser Valley","funders":"University of Peshawar; National Natural Science Foundation of China; University of Science and Technology Beijing; National Science Foundation","keywords":"Coal; Silt; Geology; Oil shale; Electrical resistivity and conductivity; Coal mining; Mineralogy; Water content; Electrical resistivity tomography; Organic matter; Khyber pakhtunkhwa; Mining engineering; Soil science; Geotechnical engineering; Geomorphology; Chemistry","score_opus":0.03683226468229928,"score_gpt":0.35530517876582934,"score_spread":0.31847291408353007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386688281","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980641,0.0000722101,0.00061671546,0.000022982476,0.0000017487872,0.000015690843,0.0002528088,0.00000571488,0.000947964],"genre_scores_gemma":[0.99810445,0.00012199175,0.0012314778,0.0000073804586,0.0000025685008,0.000009100136,0.00022333086,0.0000011704307,0.00029840204],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99986124,0.000023491224,0.000011199562,0.000029082606,0.000046116653,0.000028815337],"domain_scores_gemma":[0.9998791,0.000021155318,0.000035034005,0.0000074300683,0.000044788583,0.000012459006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023316141,0.0002498721,0.00015557537,0.0013796687,0.00045692138,0.0005246546,0.00022198203,0.0003208533,0.00043750892],"category_scores_gemma":[0.00022468762,0.0001667041,0.00016638936,0.00094487105,0.00023115466,0.00037733273,0.00037610112,0.00015475598,0.0001199984],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000089242734,0.00009043457,0.9209389,0.0001312702,0.00007075075,0.0017954627,0.001638227,0.0025285152,0.022943018,0.00025035115,0.0002910321,0.04923277],"study_design_scores_gemma":[0.000007387371,0.00011724254,0.98712707,0.000025330779,0.000036875754,0.0005289785,0.0050304146,0.0038009689,0.0020554683,0.00013175374,0.0011272349,0.000011295139],"about_ca_topic_score_codex":0.011567163,"about_ca_topic_score_gemma":0.030347668,"teacher_disagreement_score":0.011567163,"about_ca_system_score_codex":0.00021350734,"about_ca_system_score_gemma":0.00044994187,"threshold_uncertainty_score":0.022999704},"labels":[],"label_agreement":null},{"id":"W4386914199","doi":"10.1016/j.scitotenv.2023.167225","title":"Characterization of subsurface pathways contributing to freshwater salinization of urban streams using electrical and electromagnetic imaging techniques","year":2023,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Colleges and Universities","keywords":"Groundwater; Soil salinity; Plume; Environmental science; STREAMS; Hydrology (agriculture); Riparian zone; Leachate; Subsurface flow; Salinity; Geology; Soil water; Soil science; Environmental chemistry; Geography; Geotechnical engineering; Habitat","score_opus":0.007798614834857396,"score_gpt":0.21112004183621808,"score_spread":0.2033214270013607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386914199","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985453,0.00002328715,0.0010064488,0.0000061612136,6.3968525e-7,0.0000042831766,0.000066973706,0.000009678512,0.0003372578],"genre_scores_gemma":[0.99888474,0.000042254553,0.0007883849,0.0000028196966,0.0000010915298,0.000003497569,0.000066945315,0.000002430828,0.0002079023],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999753,0.0000027679323,0.0000013425846,0.0000073285255,0.0000060220636,0.0000072037556],"domain_scores_gemma":[0.99994636,0.000013313746,0.000012434097,0.0000021361254,0.00001825809,0.0000075921535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000071292925,0.00014427664,0.000104043036,0.00056843826,0.00022066274,0.00040583502,0.00011040411,0.00015374363,0.0004232006],"category_scores_gemma":[0.00012562444,0.00009200179,0.00009582989,0.0005221021,0.00016028808,0.00022573446,0.00015739318,0.000114281494,0.00006283411],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007329454,0.00014688149,0.5884925,0.00009370805,0.000058012003,0.00031083246,0.00055321824,0.009634497,0.35744527,0.0006976351,0.00019396677,0.041640416],"study_design_scores_gemma":[0.000022854605,0.00016896207,0.9081382,0.000012993195,0.000054179218,0.00018163427,0.0014081039,0.044890333,0.043674774,0.00046382382,0.00095961906,0.000024454444],"about_ca_topic_score_codex":0.005623169,"about_ca_topic_score_gemma":0.010295028,"teacher_disagreement_score":0.005623169,"about_ca_system_score_codex":0.00015226268,"about_ca_system_score_gemma":0.00034064671,"threshold_uncertainty_score":0.011180878},"labels":[],"label_agreement":null},{"id":"W4387232701","doi":"10.1016/j.jglr.2023.09.009","title":"Unconsolidated sediment thickness mapping by waterborne geophysics along the Lake Michigan shoreline","year":2023,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bedrock; Geology; Sediment; Shore; Geomorphology; Sediment transport; Geophysics; High resolution; Hydrology (agriculture); Oceanography; Remote sensing; Geotechnical engineering","score_opus":0.05373960681357918,"score_gpt":0.33614836431327677,"score_spread":0.28240875749969757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387232701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981583,0.00004349677,0.00029218718,0.000044657503,0.0000031727657,0.0000039921906,0.00043842607,0.000029100376,0.0009866675],"genre_scores_gemma":[0.9972012,0.00005452269,0.0010623409,0.000014816698,0.0000051194984,0.0000074303225,0.0004426224,0.0000060153943,0.0012060046],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999379,0.00000912033,0.000004004155,0.000017768947,0.000021211736,0.000009932879],"domain_scores_gemma":[0.9998779,0.000015627702,0.000028461476,0.000008054907,0.000050346964,0.000019578512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009349878,0.00023937557,0.00014273122,0.00083971553,0.0004011195,0.0005066437,0.00025740248,0.00027532663,0.00090702024],"category_scores_gemma":[0.00028119772,0.00019508433,0.000100072015,0.00081434066,0.00015059943,0.0003616154,0.00039169044,0.00011717023,0.00019012559],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016742249,0.00009706762,0.9265174,0.000038082402,0.00009610176,0.00031727072,0.00071969477,0.00428954,0.02471474,0.0001709809,0.0016116794,0.04125999],"study_design_scores_gemma":[0.0000065160552,0.000018443212,0.9896757,0.000009626744,0.000015903013,0.000026476364,0.0002729633,0.008122074,0.0008947652,0.000028812077,0.00092089945,0.000007750554],"about_ca_topic_score_codex":0.10236437,"about_ca_topic_score_gemma":0.37453017,"teacher_disagreement_score":0.10236437,"about_ca_system_score_codex":0.00037970298,"about_ca_system_score_gemma":0.00040776623,"threshold_uncertainty_score":0.20353705},"labels":[],"label_agreement":null},{"id":"W4387735374","doi":"10.1139/cgj-2023-0289","title":"Fusion of sparse non-co-located measurements from multiple sources for geotechnical site investigation","year":2023,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Geotechnical engineering; Geology; Geotechnical investigation","score_opus":0.051874127028285914,"score_gpt":0.2638071627461626,"score_spread":0.2119330357178767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387735374","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034333717,0.00017644618,0.96400416,0.00013122073,0.0000378743,0.000029296845,0.000101604935,0.00019845378,0.0009872398],"genre_scores_gemma":[0.6531524,0.0005784479,0.34433413,0.00013262364,0.000098198565,0.00009307295,0.00053832727,0.000060644754,0.0010121986],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9993717,0.00015115827,0.00003209365,0.00010252138,0.0002971226,0.00004547658],"domain_scores_gemma":[0.9990959,0.0003095717,0.00015445003,0.00016559799,0.00023750652,0.000037008343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081266585,0.0007787744,0.00064757414,0.0009617799,0.00027558504,0.0005625568,0.00063160545,0.00066104694,0.0006952507],"category_scores_gemma":[0.0029344663,0.00034816185,0.0005245941,0.0015384291,0.00047661873,0.0014307711,0.0011911716,0.00082646037,0.00031867757],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004414122,0.00025520945,0.009221463,0.00043466158,0.0001593263,0.0003365849,0.0004354752,0.35261053,0.12307314,0.01379233,0.0023588333,0.4968811],"study_design_scores_gemma":[0.000020132176,0.000105298815,0.0036630426,0.000032313925,0.000043767497,0.0001592593,0.00011503028,0.96888876,0.017925305,0.007124168,0.0018833254,0.000039652],"about_ca_topic_score_codex":0.0018062441,"about_ca_topic_score_gemma":0.0033141293,"teacher_disagreement_score":0.0018062441,"about_ca_system_score_codex":0.00026051782,"about_ca_system_score_gemma":0.000736312,"threshold_uncertainty_score":0.0042978525},"labels":[],"label_agreement":null},{"id":"W4387951172","doi":"10.1109/ccece58730.2023.10289022","title":"Borer GPR Interpretation During Potash Mining","year":2023,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Regina","funders":"","keywords":"Ground-penetrating radar; Roof; Environmental geology; Hydrogeology; Noise (video); Software; Potash; Remote sensing; Computer science; Engineering; Geology; Radar; Artificial intelligence; Civil engineering; Geotechnical engineering; Image (mathematics)","score_opus":0.00896881524811519,"score_gpt":0.24629879018729095,"score_spread":0.23732997493917576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387951172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9749492,0.00016923044,0.018057643,0.00014496555,0.00005634124,0.000043527965,0.000792603,0.0006291662,0.005157416],"genre_scores_gemma":[0.98702294,0.000119621254,0.011062842,0.000060294304,0.000013012378,0.000007316245,0.00052518083,0.0000628581,0.0011260179],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999742,0.000035076235,0.000014859522,0.00006423891,0.00010309597,0.000040704046],"domain_scores_gemma":[0.99971753,0.00007056815,0.000035026576,0.00004330599,0.00011031417,0.000023144794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003995369,0.00029829756,0.00025956973,0.001186049,0.00025640483,0.00062297465,0.0004868305,0.00055683963,0.0009675559],"category_scores_gemma":[0.0009775064,0.00015153241,0.00019453972,0.00082557334,0.00023599625,0.00039578526,0.0006188612,0.00036059934,0.00035895966],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002150255,0.00012968303,0.11012754,0.0005636629,0.00009642602,0.0109531,0.0048655607,0.026361208,0.57182324,0.0010472842,0.0062491097,0.2656329],"study_design_scores_gemma":[0.000089848,0.00062665815,0.7096943,0.00017590093,0.00017674423,0.012584291,0.0048649325,0.11057262,0.14250761,0.0011869234,0.01734825,0.0001718975],"about_ca_topic_score_codex":0.0031667375,"about_ca_topic_score_gemma":0.006684554,"teacher_disagreement_score":0.0031667375,"about_ca_system_score_codex":0.00025880046,"about_ca_system_score_gemma":0.00021414751,"threshold_uncertainty_score":0.0062966347},"labels":[],"label_agreement":null},{"id":"W4387957937","doi":"10.1002/arp.1914","title":"Community‐led investigations of unmarked graves at Indian residential schools in Western Canada—overview, status report and best practices","year":2023,"lang":"en","type":"article","venue":"Archaeological Prospection","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Phoenix Technologies (Canada); University of British Columbia","funders":"","keywords":"Indigenous; Neglect; Attendance; Government (linguistics); Residential school; Geography; Political science; Socioeconomics; History; Economic growth; Sociology; Law; Medicine","score_opus":0.060273439455604615,"score_gpt":0.3263740395011875,"score_spread":0.2661006000455829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387957937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92783046,0.015449708,0.001180467,0.004861411,0.00015278484,0.0012112336,0.008329126,0.00020292675,0.040782023],"genre_scores_gemma":[0.9475181,0.01824553,0.0049718483,0.0011461978,0.000060855615,0.00025553285,0.0038792994,0.00006450619,0.023858186],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99691606,0.00035691872,0.00015787217,0.00025151606,0.0013135198,0.0010041404],"domain_scores_gemma":[0.99114406,0.00041514807,0.00076378754,0.00024502547,0.00592928,0.0015027502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022601935,0.00069735025,0.00044681426,0.008892654,0.010800751,0.0035402705,0.0035649426,0.0008358494,0.0032671264],"category_scores_gemma":[0.0035971934,0.0006612618,0.0003801126,0.0126682585,0.0036479672,0.00079678046,0.004444865,0.001095534,0.0005519481],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013397237,0.0002575496,0.55644387,0.003921371,0.00010447948,0.0045032897,0.21626557,0.00033310158,0.0031880063,0.0020207253,0.021777947,0.19105014],"study_design_scores_gemma":[0.0000057157044,0.00008960499,0.5988286,0.001290468,0.00006079965,0.0005698326,0.34733957,0.00015316244,0.0007315519,0.00019966319,0.050668858,0.00006211032],"about_ca_topic_score_codex":0.98993427,"about_ca_topic_score_gemma":0.9978073,"teacher_disagreement_score":0.040270973,"about_ca_system_score_codex":0.040270973,"about_ca_system_score_gemma":0.12784183,"threshold_uncertainty_score":0.2921877},"labels":[],"label_agreement":null},{"id":"W4388035081","doi":"10.1111/1556-4029.15419","title":"The suitability of using domestic pigs (<i>Sus</i> spp.) as human proxies in the geophysical detection of clandestine graves","year":2023,"lang":"en","type":"article","venue":"Journal of Forensic Sciences","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Australian Research Council; Flinders University; University of Newcastle Australia","keywords":"Ground-penetrating radar; Geophysics; Geology; Electrical resistivity tomography; Radar; Computer science; Engineering; Electrical resistivity and conductivity","score_opus":0.039156434250201995,"score_gpt":0.3341332849794831,"score_spread":0.2949768507292811,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388035081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99092686,0.00090922747,0.0051319203,0.0001816142,0.00006591999,0.000053529842,0.0001141677,0.000015889487,0.0026009528],"genre_scores_gemma":[0.9850525,0.0006499932,0.013044324,0.00026004325,0.000036117155,0.000039265567,0.00013671324,0.000010965869,0.00076999137],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986702,0.0006605293,0.00007035191,0.0003151084,0.0001649713,0.00011876681],"domain_scores_gemma":[0.998069,0.00070707395,0.0005970832,0.00020524442,0.0003046611,0.000116917974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031551789,0.0005232931,0.00028748103,0.0010904939,0.00036804084,0.0012640993,0.00044822606,0.0009493071,0.0011738272],"category_scores_gemma":[0.004018825,0.00032178304,0.0002844618,0.00048635734,0.0012862735,0.00086301635,0.0007481873,0.00040712245,0.00041925683],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014443303,0.00012013627,0.72587526,0.00049837737,0.00023633176,0.0020343475,0.0037476942,0.0006366552,0.17148004,0.000920657,0.0006847087,0.092321455],"study_design_scores_gemma":[0.000030072706,0.0036898216,0.9315226,0.00047386103,0.0003171757,0.009595902,0.010617117,0.002154342,0.033354275,0.0012837312,0.0068659927,0.00009512539],"about_ca_topic_score_codex":0.00093260355,"about_ca_topic_score_gemma":0.0035484352,"teacher_disagreement_score":0.0031551789,"about_ca_system_score_codex":0.00016688161,"about_ca_system_score_gemma":0.0002218405,"threshold_uncertainty_score":0.01668632},"labels":[],"label_agreement":null},{"id":"W4388117875","doi":"10.23919/eusipco58844.2023.10290040","title":"Reconstruction-based Out-of-Distribution Detection for Short-Range FMCW Radar","year":2023,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Infineon Technologies (Canada)","funders":"","keywords":"Softmax function; Autoencoder; Computer science; Detector; Artificial intelligence; Radar; Range (aeronautics); Feature (linguistics); Benchmark (surveying); Feature learning; Deep learning; Object detection; Pattern recognition (psychology); Data mining; Telecommunications; Engineering","score_opus":0.0315686863825681,"score_gpt":0.2785362882618704,"score_spread":0.24696760187930228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388117875","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.093827285,0.0012942277,0.89965904,0.00024942166,0.00013866951,0.000066553905,0.00031333423,0.002430614,0.0020208994],"genre_scores_gemma":[0.6760442,0.0009969093,0.31477988,0.00044541745,0.00016781759,0.000100513585,0.002257521,0.0003057429,0.0049020112],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991455,0.0001606999,0.00004226445,0.00021058758,0.00032248776,0.00011831878],"domain_scores_gemma":[0.9987294,0.0006005004,0.00016976355,0.00021802647,0.00023195718,0.00005031763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012558079,0.00097137986,0.0010443238,0.001124812,0.00025224686,0.00061251636,0.00087287306,0.00082130096,0.0010089258],"category_scores_gemma":[0.003038277,0.0002514494,0.0005648133,0.00074890425,0.0004873147,0.0011097965,0.001120774,0.0011426541,0.0010013402],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077411515,0.0003564638,0.010263373,0.00023508233,0.00016739227,0.000294549,0.00008957069,0.056695275,0.07110519,0.0024682924,0.0063206,0.8512301],"study_design_scores_gemma":[0.000039779512,0.00015435537,0.0058325455,0.000026402608,0.000057446396,0.0006812011,0.0000514818,0.93150866,0.054661937,0.0026630135,0.0042890147,0.000034102144],"about_ca_topic_score_codex":0.0010580004,"about_ca_topic_score_gemma":0.0020172372,"teacher_disagreement_score":0.0012558079,"about_ca_system_score_codex":0.0003107562,"about_ca_system_score_gemma":0.00049708504,"threshold_uncertainty_score":0.0066414475},"labels":[],"label_agreement":null},{"id":"W4388286349","doi":"10.1109/lawp.2023.3328003","title":"The Time-Reversal Method for Source Reconstructions Within a Metallic Cavity: An Experimental Validation","year":2023,"lang":"en","type":"article","venue":"IEEE Antennas and Wireless Propagation Letters","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Fujian Provincial Department of Science and Technology; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Time domain; Interference (communication); Wideband; Electromagnetic interference; Computer science; Frequency domain; Network analyzer (electrical); Acoustics; Electronic engineering; Physics; Algorithm; Engineering; Telecommunications","score_opus":0.018304784941719984,"score_gpt":0.2768661160785702,"score_spread":0.2585613311368502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388286349","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3824722,0.0002957858,0.6111208,0.00047160854,0.00007247202,0.00017443177,0.000114053,0.00075313036,0.004525506],"genre_scores_gemma":[0.72156376,0.0002479157,0.2766272,0.000056927292,0.000014264719,0.000104933235,0.000067033325,0.00008166334,0.001236329],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99964964,0.000095934134,0.000017567974,0.00004729599,0.00016611775,0.000023469931],"domain_scores_gemma":[0.9986253,0.00068814703,0.00014182364,0.00027951473,0.00022839666,0.000036802867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011261409,0.00040238257,0.00024864532,0.0002762717,0.00027863518,0.00041277433,0.00048675973,0.00059139065,0.0011003184],"category_scores_gemma":[0.0028292185,0.00016496066,0.0001909981,0.00024025587,0.0008204584,0.00074409135,0.0006983205,0.0005707301,0.0003009593],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006149457,0.00035605388,0.002632148,0.0004357021,0.00004552103,0.0006599001,0.00080595707,0.1030309,0.78550905,0.023172796,0.00090514356,0.08183197],"study_design_scores_gemma":[0.0000947389,0.0007439678,0.00091223064,0.00004633469,0.000019784706,0.0005846012,0.00019455656,0.43323144,0.5577876,0.002592606,0.003741244,0.000050924187],"about_ca_topic_score_codex":0.0003632713,"about_ca_topic_score_gemma":0.00029955577,"teacher_disagreement_score":0.0011261409,"about_ca_system_score_codex":0.00021165235,"about_ca_system_score_gemma":0.0003607697,"threshold_uncertainty_score":0.005955696},"labels":[],"label_agreement":null},{"id":"W4388290493","doi":"10.36487/acg_repo/2335_26","title":"Getting more out of drillhole televiewer data: geotechnical toolbox edition","year":2023,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BGC Engineering (Canada)","funders":"","keywords":"Workflow; Consistency (knowledge bases); Joint (building); Data quality; Classification of discontinuities; Geology; Toolbox; Identification (biology); Fracture (geology); Computer science; Geotechnical engineering; Engineering; Database; Civil engineering; Artificial intelligence","score_opus":0.053906257208697704,"score_gpt":0.32810718277487516,"score_spread":0.2742009255661775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388290493","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008336152,0.00040641398,0.53231287,0.00089164195,0.000243946,0.00049536745,0.08779534,0.33044037,0.03907797],"genre_scores_gemma":[0.07558668,0.0008243707,0.6969338,0.00057088304,0.00013487664,0.0016585578,0.11716642,0.065156706,0.04196771],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999092,0.00015539379,0.00009441924,0.00020052592,0.00039172955,0.00006591482],"domain_scores_gemma":[0.9942306,0.002471458,0.00032581785,0.0013872292,0.0013200317,0.00026496078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037692473,0.0011656393,0.00052740326,0.0020701883,0.0002793771,0.0017440602,0.0016369139,0.00067635864,0.10472165],"category_scores_gemma":[0.010080689,0.001032051,0.0006202579,0.0021413625,0.00041209257,0.0029573108,0.0019861546,0.0013184512,0.0480939],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005499014,0.00024542946,0.006874492,0.001034913,0.00010694376,0.0004200832,0.0010036309,0.011261803,0.019359311,0.011711919,0.42467415,0.5227575],"study_design_scores_gemma":[0.0004465934,0.00023342861,0.020191606,0.0006538444,0.000057035766,0.00073142163,0.00061030494,0.0888418,0.043534108,0.0319022,0.81257534,0.0002223213],"about_ca_topic_score_codex":0.0024447562,"about_ca_topic_score_gemma":0.004063575,"teacher_disagreement_score":0.10472165,"about_ca_system_score_codex":0.00049292087,"about_ca_system_score_gemma":0.0009774701,"threshold_uncertainty_score":0.3503288},"labels":[],"label_agreement":null},{"id":"W4388463150","doi":"10.32390/ksmer.2023.60.5.414","title":"A Study on Previous Cases of Seismic Reflection Surveys for Deep Geological Disposal Site Investigations in Crystalline and Sedimentary Host Rocks","year":2023,"lang":"en","type":"article","venue":"Journal of the Korean Society of Mineral and Energy Resources Engineers","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Sedimentary rock; Reflection (computer programming); Geochemistry; Geological survey; Seismology; Mining engineering; Paleontology","score_opus":0.021829900786403966,"score_gpt":0.2520700006670778,"score_spread":0.23024009988067384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388463150","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.977785,0.00016086927,0.0040817885,0.00009959609,0.000011770171,0.00009198745,0.00022040983,0.00004162935,0.017507052],"genre_scores_gemma":[0.9881335,0.00035252757,0.005689821,0.0000334021,0.000010232497,0.000042878262,0.00036079084,0.000026990241,0.0053499145],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979235,0.00053266983,0.00017257637,0.00029804592,0.00066848414,0.000404707],"domain_scores_gemma":[0.9960704,0.0009655049,0.0009493738,0.0007976572,0.0010028705,0.00021427884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001405551,0.0003807371,0.00017805047,0.00277525,0.0014718587,0.0009081448,0.0006653782,0.0005399768,0.0023805685],"category_scores_gemma":[0.005003381,0.00023812699,0.00029573598,0.0025588633,0.0009821254,0.0006067881,0.0010650499,0.00031841546,0.00048360883],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017458283,0.0002288421,0.83541286,0.000262578,0.000040836207,0.024129948,0.019490663,0.002089004,0.015092189,0.00303868,0.0012917616,0.098748006],"study_design_scores_gemma":[0.000016042175,0.00067026465,0.77951014,0.00032064776,0.00015236628,0.04882303,0.056695443,0.0040366002,0.03162209,0.0007915926,0.07727843,0.00008335292],"about_ca_topic_score_codex":0.022758106,"about_ca_topic_score_gemma":0.090928696,"teacher_disagreement_score":0.022758106,"about_ca_system_score_codex":0.0013856059,"about_ca_system_score_gemma":0.0013881326,"threshold_uncertainty_score":0.04525125},"labels":[],"label_agreement":null},{"id":"W4388852053","doi":"10.1111/jmi.13248","title":"The dam that fly ash built","year":2023,"lang":"en","type":"article","venue":"Journal of Microscopy","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick; University of Toronto","funders":"Bureau of Reclamation; University of Toronto; Natural Sciences and Engineering Research Council of Canada; U.S. Department of the Interior","keywords":"Fly ash; Tributary; Geology; Hydrology (agriculture); Canyon; Environmental science; Archaeology; Geotechnical engineering; Waste management; Geomorphology; Geography","score_opus":0.024603326799270776,"score_gpt":0.3145896352611398,"score_spread":0.289986308461869,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388852053","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5848287,0.0005188476,0.005552145,0.0020293114,0.00045462846,0.0002404997,0.0023853134,0.00083347806,0.40315703],"genre_scores_gemma":[0.79514265,0.00023154943,0.002896225,0.00028236554,0.000023211622,0.000038452483,0.0007835835,0.000071857474,0.20053014],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99987817,0.0000068341046,0.0000025906556,0.000020631995,0.000046972153,0.000044767574],"domain_scores_gemma":[0.99991417,0.0000034216937,0.00000844772,0.000009947602,0.000028707553,0.00003525924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006671659,0.00017170624,0.000112664835,0.00034165315,0.0017370303,0.00074271974,0.00023160137,0.00033985343,0.020434748],"category_scores_gemma":[0.00025517374,0.00012688783,0.00009898334,0.0002396174,0.00060190965,0.00037429182,0.0011280457,0.0003911423,0.002718479],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047574,0.00022074985,0.114408895,0.0003870484,0.00006609453,0.006655876,0.010347991,0.002159872,0.05977692,0.11721495,0.1741091,0.5141767],"study_design_scores_gemma":[0.00002378846,0.00017090293,0.092193894,0.00009504655,0.000022947628,0.0014171129,0.0038363715,0.0011676501,0.013248261,0.002025722,0.88576245,0.0000358555],"about_ca_topic_score_codex":0.044186868,"about_ca_topic_score_gemma":0.20258407,"teacher_disagreement_score":0.044186868,"about_ca_system_score_codex":0.0018435268,"about_ca_system_score_gemma":0.003472723,"threshold_uncertainty_score":0.08785933},"labels":[],"label_agreement":null},{"id":"W4388990735","doi":"10.1002/arp.1920","title":"The challenges of signal interpretation of burials in ground‐penetrating radar","year":2023,"lang":"en","type":"article","venue":"Archaeological Prospection","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Geoscience BC; University of Alberta; University of British Columbia","funders":"University of British Columbia","keywords":"Ground-penetrating radar; Identification (biology); Radar; Geology; Archaeology; Interpretation (philosophy); Range (aeronautics); Reflection (computer programming); Remote sensing; History; Geography; Computer science; Engineering","score_opus":0.02783333086163567,"score_gpt":0.2791335257907214,"score_spread":0.25130019492908573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388990735","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08958043,0.6374869,0.2212584,0.023641355,0.0019932543,0.0002463206,0.00097572635,0.0002619912,0.02455567],"genre_scores_gemma":[0.59698933,0.27345568,0.12013414,0.004472053,0.0017104485,0.00022517539,0.00053142454,0.00020429942,0.002277478],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9605137,0.023511926,0.004105776,0.0021447134,0.009343848,0.00038004064],"domain_scores_gemma":[0.8400162,0.13314436,0.008089229,0.0040572844,0.014490195,0.0002027353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.043156784,0.00051627797,0.0010309137,0.005058942,0.00069871295,0.006086562,0.0022434646,0.0017615125,0.0006724653],"category_scores_gemma":[0.09582539,0.00042151942,0.00063660456,0.005108247,0.005396113,0.004899739,0.0022327781,0.0016716277,0.00045336675],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001243197,0.000019457426,0.011979939,0.022988725,0.00043735062,0.0008813792,0.01276675,0.0028564394,0.0068642832,0.02620126,0.0070586298,0.9078215],"study_design_scores_gemma":[0.00004938793,0.00041992575,0.07658523,0.07003086,0.0012615216,0.012239402,0.09801671,0.009546115,0.032428257,0.14621726,0.55277807,0.00042737293],"about_ca_topic_score_codex":0.002177016,"about_ca_topic_score_gemma":0.002569219,"teacher_disagreement_score":0.043156784,"about_ca_system_score_codex":0.0009856842,"about_ca_system_score_gemma":0.0019716364,"threshold_uncertainty_score":0.22823763},"labels":[],"label_agreement":null},{"id":"W4389475153","doi":"10.1139/cgj-2023-0283","title":"Study on strength damage model considering resistivity and failure characteristics of the frozen soil–rock mixture under different loading rates","year":2023,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Geotechnical engineering; Electrical resistivity and conductivity; Geology; Engineering","score_opus":0.025261236603057024,"score_gpt":0.25662165568458384,"score_spread":0.23136041908152682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389475153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8792746,0.00026312165,0.11670775,0.00010821224,0.000018216166,0.00005449307,0.0001945405,0.00042115248,0.002957774],"genre_scores_gemma":[0.996062,0.00007464164,0.002411741,0.000007963818,0.0000019393644,0.000022338445,0.00006790583,0.000014013079,0.0013374498],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99983084,0.000019630312,0.000010366767,0.00005569483,0.000053876563,0.000029552062],"domain_scores_gemma":[0.9997147,0.00009075927,0.00005801828,0.000041152733,0.00007892645,0.000016413165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033447146,0.00060917577,0.00035543455,0.0006883226,0.00018719317,0.00029497372,0.00076563074,0.0008754489,0.0009548263],"category_scores_gemma":[0.00073381414,0.0002924616,0.0006892735,0.00029537725,0.00035052747,0.0007150117,0.000267654,0.0003918587,0.00022119968],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000729454,0.00006427396,0.009410201,0.000060562154,0.000024193543,0.00039985916,0.00013151274,0.9467741,0.03088724,0.000772909,0.0002348653,0.011167347],"study_design_scores_gemma":[0.0000016233862,0.000020997373,0.0022384312,0.000002075056,0.0000047641315,0.000038753235,0.00001046745,0.9955195,0.0020151492,0.00008218178,0.00006156505,0.0000043990312],"about_ca_topic_score_codex":0.0077959835,"about_ca_topic_score_gemma":0.0044307164,"teacher_disagreement_score":0.0077959835,"about_ca_system_score_codex":0.000392047,"about_ca_system_score_gemma":0.00032766644,"threshold_uncertainty_score":0.015501201},"labels":[],"label_agreement":null},{"id":"W4389480433","doi":"10.3390/f14122396","title":"Using Ground Penetrating Radar (GPR) to Predict Log Moisture Content of Commercially Important Canadian Softwoods","year":2023,"lang":"en","type":"article","venue":"Forests","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"FPInnovations; Burnaby Hospital; Natural Resources Canada; Canadian Forest Service","funders":"Natural Resources Canada","keywords":"Abies balsamea; Black spruce; Balsam; Ground-penetrating radar; Partial least squares regression; Water content; Radar; Environmental science; Mathematics; Statistics; Forestry; Botany; Engineering; Biology; Geography; Taiga; Geotechnical engineering","score_opus":0.062425036721893604,"score_gpt":0.2951244812558986,"score_spread":0.23269944453400498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389480433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99840194,0.000040673687,0.0009989475,0.000008322279,6.7798493e-7,0.000008358295,0.00022334333,0.000041771356,0.00027592795],"genre_scores_gemma":[0.9968348,0.000055900236,0.0018723888,0.000008121675,5.209501e-7,0.0000042270644,0.0005938154,0.000008308052,0.00062199373],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999157,0.000005540105,0.0000031830175,0.000023082674,0.000031880525,0.000020610116],"domain_scores_gemma":[0.9998627,0.0000321525,0.000018753368,0.000006702866,0.00006534547,0.000014472847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002129574,0.00050659943,0.00015091381,0.00065352087,0.00036632668,0.00048774458,0.00042356687,0.00024504567,0.00052190985],"category_scores_gemma":[0.00046705463,0.00016122941,0.00021023401,0.0005055751,0.00020542995,0.00029499427,0.00018646973,0.00023283597,0.00019691316],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031955025,0.0002232627,0.75357115,0.000093277675,0.0001225864,0.00032678363,0.0004622603,0.064661436,0.058313813,0.00016346888,0.00076050736,0.12098187],"study_design_scores_gemma":[0.0000107323085,0.000074023985,0.8723639,0.000007997472,0.000036892437,0.000061139275,0.00034592947,0.12174117,0.004632742,0.000039126076,0.00066004234,0.000026338696],"about_ca_topic_score_codex":0.8700989,"about_ca_topic_score_gemma":0.91615885,"teacher_disagreement_score":0.12990111,"about_ca_system_score_codex":0.0025603715,"about_ca_system_score_gemma":0.0018629734,"threshold_uncertainty_score":0.2613322},"labels":[],"label_agreement":null},{"id":"W4389514625","doi":"10.1093/fsr/owad040","title":"Ground penetrating radar used to detect drowning victims under ice","year":2023,"lang":"en","type":"article","venue":"Forensic Sciences Research","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ground-penetrating radar; Remote sensing; Radar; Geology; Snow; Meteorology; Computer science; Geomorphology; Geography; Telecommunications","score_opus":0.19257365510868601,"score_gpt":0.42769551886689144,"score_spread":0.23512186375820543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389514625","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9630634,0.0009883215,0.034521293,0.000079128054,0.00003524723,0.000058402657,0.000070647875,0.00011667811,0.0010669074],"genre_scores_gemma":[0.9694927,0.0008832399,0.028875023,0.000100686164,0.000013834404,0.000019269142,0.00007751458,0.000006930583,0.0005308516],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99982905,0.000052488875,0.000008701965,0.00003900337,0.000049566916,0.000021149457],"domain_scores_gemma":[0.99976593,0.00008273391,0.000059655827,0.000023859997,0.00005530305,0.000012463846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002544954,0.00024677813,0.00019282963,0.00040815613,0.000107847496,0.00023443495,0.0002390271,0.00034849276,0.00055194733],"category_scores_gemma":[0.0006890948,0.00011257098,0.00012258992,0.0002456478,0.00021889142,0.00027612524,0.00022611572,0.0001855264,0.000216568],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048344047,0.00012295286,0.043616395,0.00038317728,0.000089807734,0.0013186494,0.000594545,0.00507663,0.7998247,0.0003793663,0.0004942894,0.14761601],"study_design_scores_gemma":[0.000106207364,0.0041953684,0.2084072,0.00031295815,0.0005827145,0.01306811,0.0024154594,0.09664842,0.66484565,0.0010094319,0.008302117,0.00010644109],"about_ca_topic_score_codex":0.00057894393,"about_ca_topic_score_gemma":0.0006301275,"teacher_disagreement_score":0.00057894393,"about_ca_system_score_codex":0.000083897896,"about_ca_system_score_gemma":0.00009752578,"threshold_uncertainty_score":0.0018464327},"labels":[],"label_agreement":null},{"id":"W4389609303","doi":"10.1002/arp.1922","title":"Combined use of drones and geophysics in enhancing cemetery studies: Two case studies in Northern Ireland, UK","year":2023,"lang":"en","type":"article","venue":"Archaeological Prospection","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Queen's University","keywords":"Ground-penetrating radar; Drone; Irish; Archaeology; Geography; History; Geology; Remote sensing; Radar; Computer science","score_opus":0.11197500951070667,"score_gpt":0.33707942101582855,"score_spread":0.2251044115051219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389609303","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98565763,0.0004173594,0.000526734,0.00077487674,0.000021967626,0.00021065494,0.00014055894,0.000015494985,0.012234763],"genre_scores_gemma":[0.992515,0.00070018694,0.0013646937,0.00014683505,0.00001091799,0.00008940359,0.000055659693,0.000017888853,0.005099349],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99784136,0.0011700635,0.00007525021,0.000113180686,0.00022208405,0.0005779593],"domain_scores_gemma":[0.99751854,0.0010701733,0.00026881648,0.0001939345,0.00044778828,0.00050065166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019476144,0.0005377933,0.00038480567,0.0019319796,0.0034581956,0.0028507756,0.0013974819,0.0015734888,0.004022956],"category_scores_gemma":[0.0049905004,0.00046542307,0.0002884282,0.0020094544,0.002854447,0.0015433391,0.003423773,0.001014816,0.0005125377],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014280746,0.0015124497,0.17343885,0.002097755,0.00013795111,0.15371777,0.4832677,0.0045615355,0.006785483,0.0053323545,0.009855365,0.1578647],"study_design_scores_gemma":[0.000068173096,0.00067523436,0.12785153,0.0007275758,0.000050985524,0.009721168,0.8070766,0.0011574466,0.0015287186,0.00040656788,0.0506262,0.000109829714],"about_ca_topic_score_codex":0.19785482,"about_ca_topic_score_gemma":0.43397903,"teacher_disagreement_score":0.19785482,"about_ca_system_score_codex":0.0071722725,"about_ca_system_score_gemma":0.003691238,"threshold_uncertainty_score":0.39340633},"labels":[],"label_agreement":null},{"id":"W4389721676","doi":"10.1190/image2023-3914719.1","title":"The interferographic TEM (ITEM) method: Array beamforming for TEM field compaction and resolution improvement","year":2023,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Glencore (Canada); University of Toronto","funders":"","keywords":"Beamforming; Image resolution; Field (mathematics); Filter (signal processing); Aperture (computer memory); Computer science; Geology; Remote sensing; Acoustics; Artificial intelligence; Physics; Computer vision; Telecommunications; Mathematics","score_opus":0.023955227162183245,"score_gpt":0.3062397049253941,"score_spread":0.28228447776321086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389721676","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034052748,0.00004900837,0.9953101,0.000035385456,0.000014683146,0.00001333788,0.00004395416,0.0003066051,0.0008217053],"genre_scores_gemma":[0.041345134,0.00016337396,0.9564857,0.00006389676,0.00003121275,0.000059646314,0.00020059133,0.00010700796,0.0015434185],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99966514,0.000063345804,0.0000195467,0.00006217529,0.00016265314,0.000027155147],"domain_scores_gemma":[0.99949944,0.00016096991,0.00007434707,0.000092193724,0.00015389372,0.000019056703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045477497,0.0006608643,0.00037736405,0.00060114457,0.00017124091,0.0006084733,0.0005496759,0.00043268656,0.0031031452],"category_scores_gemma":[0.001075298,0.00031723254,0.00034817134,0.0009969675,0.00036838555,0.001037474,0.0007005512,0.0006751978,0.0010891691],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022564059,0.000065739776,0.0016443599,0.00024460416,0.000075694166,0.00014298884,0.00017950321,0.035837315,0.32603306,0.024680687,0.0042377855,0.6066326],"study_design_scores_gemma":[0.0000517244,0.00047217004,0.0049056215,0.000051456205,0.000072901435,0.0016923595,0.00013951038,0.61465335,0.3244394,0.009667226,0.043739572,0.00011470165],"about_ca_topic_score_codex":0.00025664648,"about_ca_topic_score_gemma":0.0006503738,"teacher_disagreement_score":0.0031031452,"about_ca_system_score_codex":0.0002358323,"about_ca_system_score_gemma":0.0003732597,"threshold_uncertainty_score":0.010381043},"labels":[],"label_agreement":null},{"id":"W4389725152","doi":"10.2139/ssrn.4654543","title":"Effect of Scanning Parameters in X-Ray Micro-Computed Tomography Imaging of Silt Particle Matrix for Fabric Analysis","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Computed tomography; Tomography; Silt; Materials science; Matrix (chemical analysis); Particle (ecology); X-ray; Physics; Optics; Geology; Radiology; Composite material; Medicine","score_opus":0.008266534141054065,"score_gpt":0.28449108693462494,"score_spread":0.2762245527935709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389725152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98667425,0.0011487684,0.010948763,0.0000847811,0.000023062084,0.00001815913,0.00014635191,0.00016032277,0.00079544476],"genre_scores_gemma":[0.9878392,0.00053323695,0.011046389,0.000029745088,0.000009518396,0.000013331605,0.00008996307,0.00011531564,0.0003232066],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99975795,0.00006646003,0.00002782355,0.000067886824,0.000051915344,0.000027986604],"domain_scores_gemma":[0.99694675,0.002337183,0.00024689894,0.00017270185,0.00023278348,0.00006371604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005910153,0.00047065187,0.0002567691,0.00031572965,0.0001772327,0.0008437989,0.00028648184,0.00054168754,0.0016110705],"category_scores_gemma":[0.0031135592,0.0003479805,0.00016152086,0.00041243565,0.00033031928,0.00071456615,0.00029117984,0.000362371,0.00020674177],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011662667,0.00007349419,0.001959194,0.0001370019,0.000020477555,0.000060645983,0.00010482564,0.0047001215,0.9826989,0.00009912594,0.00008038441,0.008899471],"study_design_scores_gemma":[0.000018204957,0.00030158897,0.005186491,0.000012685666,0.000048338108,0.00008415215,0.000078944,0.017280785,0.9765891,0.000047742156,0.00033376412,0.00001833354],"about_ca_topic_score_codex":0.0010434113,"about_ca_topic_score_gemma":0.0017414719,"teacher_disagreement_score":0.0016110705,"about_ca_system_score_codex":0.00024684024,"about_ca_system_score_gemma":0.00031300887,"threshold_uncertainty_score":0.005389631},"labels":[],"label_agreement":null},{"id":"W4390216900","doi":"","title":"NEVADA NATIONAL SECURITY SITE E TUNNEL WASTEWATER DISCHARGE PERMIT QUARTERLY MONITORING REPORT WASTEWATER DISCHARGE PERMIT NEV 96021 THIRD QUARTER 2024","year":2023,"lang":"en","type":"article","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Nuclear Security Administration; Office of Environmental Management; U.S. Department of Energy","keywords":"Wastewater; Quarter (Canadian coin); Environmental science; Waste management; Environmental engineering; Engineering; Geography; Archaeology","score_opus":0.012816546312647272,"score_gpt":0.24403550351448985,"score_spread":0.23121895720184257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390216900","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.045950346,0.0010548277,0.0047819605,0.005549941,0.0013290636,0.00088408205,0.13545594,0.0023008464,0.80269307],"genre_scores_gemma":[0.047375664,0.0012498162,0.004629624,0.00064718456,0.00007894622,0.00039358687,0.06577447,0.00033626764,0.8795145],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99952996,0.000030976924,0.000013521425,0.000056545272,0.00033786095,0.000031161366],"domain_scores_gemma":[0.99899155,0.00005651697,0.000050966293,0.000051923456,0.0007859538,0.000063055486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005417257,0.00031966742,0.0002258804,0.0010402694,0.0009616499,0.0012280043,0.00051473407,0.0005083607,0.12853464],"category_scores_gemma":[0.0008536917,0.0002578183,0.0001688117,0.0007370808,0.00014574926,0.0006024236,0.00057984487,0.00057996786,0.026632853],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015865901,0.00016097518,0.008942887,0.00011325662,0.0000078187995,0.00009244635,0.000078845325,0.00032778157,0.0027327,0.0017277991,0.9190777,0.066579014],"study_design_scores_gemma":[0.00003269916,0.00009158767,0.02019501,0.000101146936,0.0000076021483,0.00005729684,0.00043928454,0.0008793675,0.0024612895,0.0006722627,0.9750464,0.000016016962],"about_ca_topic_score_codex":0.11156279,"about_ca_topic_score_gemma":0.23451675,"teacher_disagreement_score":0.12853464,"about_ca_system_score_codex":0.0009757343,"about_ca_system_score_gemma":0.004758114,"threshold_uncertainty_score":0.42999125},"labels":[],"label_agreement":null},{"id":"W4391515652","doi":"10.1007/s40948-024-00749-x","title":"Rockburst prevention by microwave destressing: a numerical investigation","year":2024,"lang":"en","type":"article","venue":"Geomechanics and Geophysics for Geo-Energy and Geo-Resources","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Government of Jiangsu Province; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Microwave; Geology; Engineering; Telecommunications","score_opus":0.008104633206434772,"score_gpt":0.2190284873116838,"score_spread":0.21092385410524905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391515652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9482628,0.00043980437,0.036897823,0.0003992158,0.00008255275,0.000110463356,0.00024767255,0.00023389909,0.013325671],"genre_scores_gemma":[0.99390393,0.00011165535,0.0052263904,0.000019194415,0.000006857131,0.00003126276,0.000046269855,0.000008377618,0.00064596266],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986017,0.000040446488,0.000009217166,0.00001958429,0.00003146373,0.00003916796],"domain_scores_gemma":[0.9990208,0.00059829187,0.00013538964,0.00005904844,0.00012368217,0.00006274253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045580463,0.0004698361,0.00068538386,0.00067308306,0.00062146125,0.0007108736,0.0007739883,0.0013777175,0.002079188],"category_scores_gemma":[0.0014750424,0.00024400563,0.00057269033,0.0005064447,0.00069817615,0.00043443934,0.0006738424,0.00059747143,0.00010728837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000111705966,0.00015600676,0.0060801464,0.00010826707,0.000025121011,0.0003963328,0.000059220605,0.98456454,0.0023202328,0.0015507145,0.0003303394,0.004297426],"study_design_scores_gemma":[0.000014007379,0.0000555813,0.0005418614,0.000006704304,0.000008706342,0.000016239952,0.000042187956,0.9986438,0.00037927576,0.00015391779,0.00013204252,0.000005720686],"about_ca_topic_score_codex":0.014067622,"about_ca_topic_score_gemma":0.006877007,"teacher_disagreement_score":0.014067622,"about_ca_system_score_codex":0.00046763843,"about_ca_system_score_gemma":0.00047539704,"threshold_uncertainty_score":0.027971447},"labels":[],"label_agreement":null},{"id":"W4391928203","doi":"10.1007/978-3-031-53389-1_99","title":"Use of Non-destructive Assessment Methods to Evaluate Condition of Carbon Fiber-Reinforced Concrete Pavement","year":2024,"lang":"en","type":"book-chapter","venue":"Rilem bookseries","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Materials science; Composite material; Reinforced concrete; Structural engineering; Forensic engineering; Engineering","score_opus":0.03602176804767128,"score_gpt":0.34258112402401175,"score_spread":0.3065593559763405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391928203","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10807728,0.020031793,0.71841943,0.00031482437,0.00037178074,0.00031386208,0.0005333772,0.0011382867,0.15079941],"genre_scores_gemma":[0.33366224,0.014166877,0.4476675,0.00023730019,0.00007677484,0.00017633887,0.00047930473,0.00019433949,0.20333931],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9994211,0.000042917094,0.000013998122,0.00006217097,0.0004474534,0.000012364037],"domain_scores_gemma":[0.9995573,0.00022692511,0.00002414715,0.00003983007,0.00014186275,0.000009858408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047415387,0.00064015837,0.00021392405,0.001362217,0.00025371334,0.0006545116,0.00077375013,0.00035364451,0.002495626],"category_scores_gemma":[0.00044517577,0.00028185986,0.0002667458,0.0006219151,0.00050150783,0.0005839685,0.00034697994,0.00038168248,0.0010102243],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052677588,0.00009019041,0.0029158548,0.0004750093,0.000022958833,0.00018915767,0.00026526416,0.003221359,0.29041842,0.003422258,0.0028428053,0.6960841],"study_design_scores_gemma":[0.000012183217,0.000566178,0.039605346,0.0003035645,0.000107377826,0.0032218695,0.0004891337,0.05203395,0.73827946,0.007729888,0.15751953,0.00013162608],"about_ca_topic_score_codex":0.0014465717,"about_ca_topic_score_gemma":0.009074282,"teacher_disagreement_score":0.002495626,"about_ca_system_score_codex":0.000305165,"about_ca_system_score_gemma":0.00035593673,"threshold_uncertainty_score":0.008348644},"labels":[],"label_agreement":null},{"id":"W4392195584","doi":"10.1016/j.jhydrol.2024.130957","title":"Potential of ground-penetrating radar to calibrate electromagnetic induction for shallow soil water content estimation","year":2024,"lang":"en","type":"article","venue":"Journal of Hydrology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Newfoundland and Labrador; Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland","keywords":"Ground-penetrating radar; EMI; Calibration; Reflectometry; Water content; Electromagnetic induction; Remote sensing; Environmental science; Radar; Soil science; Soil water; Geology; Electromagnetic coil; Electromagnetic interference; Time domain; Geotechnical engineering; Engineering; Mathematics; Electronic engineering; Statistics; Computer science; Electrical engineering","score_opus":0.01640242240651251,"score_gpt":0.25453963464678453,"score_spread":0.238137212240272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392195584","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22153331,0.0016227855,0.7704759,0.00026885682,0.00008301715,0.00009785822,0.00033901675,0.0030075882,0.0025716717],"genre_scores_gemma":[0.8119552,0.0013210867,0.18479018,0.00016393341,0.000049289334,0.000086285814,0.00058801234,0.00020014487,0.00084586913],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994733,0.00018690413,0.000017689425,0.00014774833,0.00014150237,0.000032860826],"domain_scores_gemma":[0.99931645,0.00026492847,0.00009826249,0.00011438188,0.00018643354,0.000019562985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013304036,0.00095574243,0.00047450745,0.0008659918,0.00012901376,0.0006705406,0.000648977,0.0007923307,0.00042110094],"category_scores_gemma":[0.0029200965,0.00044752227,0.0006070981,0.0012757758,0.00022559371,0.0012355767,0.00051361736,0.0006781048,0.0005542165],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025364966,0.00026567414,0.025318846,0.00033466175,0.00026042975,0.00028442708,0.00020184158,0.4503805,0.13757421,0.0021692256,0.0013939154,0.38156265],"study_design_scores_gemma":[0.000020469239,0.000118820506,0.005599089,0.000024149014,0.00006905957,0.00010073487,0.00004227284,0.96847254,0.022184182,0.0011671444,0.002147341,0.000054260203],"about_ca_topic_score_codex":0.0019305677,"about_ca_topic_score_gemma":0.0016805712,"teacher_disagreement_score":0.0019305677,"about_ca_system_score_codex":0.00031521503,"about_ca_system_score_gemma":0.00044546442,"threshold_uncertainty_score":0.007035911},"labels":[],"label_agreement":null},{"id":"W4392577629","doi":"10.5194/egusphere-egu24-12002","title":"Ground-penetrating radar can ascertain the influence of biochar on soil wetting","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Biochar; Wetting; Ground-penetrating radar; Environmental science; Remote sensing; Radar; Soil science; Geology; Computer science; Materials science; Engineering; Waste management; Composite material; Telecommunications","score_opus":0.014608300828439544,"score_gpt":0.26592782450657093,"score_spread":0.2513195236781314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392577629","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949846,0.00031592086,0.0038197273,0.000012768831,0.000011587167,0.000014956832,0.00018505429,0.000042584652,0.0006127709],"genre_scores_gemma":[0.9924644,0.00045393518,0.005827748,0.000057648398,0.0000065763084,0.000021838689,0.00031404663,0.0000126237,0.00084115885],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990976,0.000011826859,0.000008163074,0.000021630049,0.000029790226,0.00001884524],"domain_scores_gemma":[0.9997477,0.00009684425,0.00007650475,0.000014778516,0.000049633265,0.00001464224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018035325,0.00018814208,0.00018941663,0.00022846312,0.00007484201,0.00022058828,0.00013643476,0.0003028059,0.00071605155],"category_scores_gemma":[0.00036518526,0.0001260634,0.0001821723,0.00025225405,0.000080779464,0.00029554797,0.00013461754,0.00026069995,0.00021661198],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000234391,0.000053516625,0.008265231,0.00005909864,0.000007802178,0.000067658,0.000041378746,0.00016925835,0.9814973,0.000017863824,0.000044970166,0.009541549],"study_design_scores_gemma":[0.000015351001,0.0023573446,0.28558707,0.00001725278,0.00005806715,0.0003410681,0.00033263012,0.0048942775,0.7051757,0.000092803166,0.0011081438,0.000020252077],"about_ca_topic_score_codex":0.0005794007,"about_ca_topic_score_gemma":0.0009897354,"teacher_disagreement_score":0.00071605155,"about_ca_system_score_codex":0.000081270795,"about_ca_system_score_gemma":0.000074826676,"threshold_uncertainty_score":0.002395451},"labels":[],"label_agreement":null},{"id":"W4392593955","doi":"10.1002/nsg.12292","title":"Studying GPR's direct and reflected waves","year":2024,"lang":"en","type":"article","venue":"Near Surface Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Criminal Justice Association","funders":"","keywords":"Ground-penetrating radar; Geology; Transmitter; Radar; Offset (computer science); SIGNAL (programming language); Reflection (computer programming); Polarization (electrochemistry); Economic geology; Optics; Amplitude; Acoustics; Hydrogeology; Physics; Channel (broadcasting); Telecommunications","score_opus":0.016400906411797266,"score_gpt":0.26077538602150335,"score_spread":0.2443744796097061,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392593955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.981844,0.0000855878,0.016223462,0.000024603818,0.000009251102,0.0000104045685,0.00006519204,0.00006906593,0.0016685337],"genre_scores_gemma":[0.9963696,0.00004949014,0.0031354863,0.000004980379,0.0000035285875,0.0000043067403,0.00006561626,0.0000067513047,0.0003601477],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998716,0.000019027817,0.0000051651764,0.00002975848,0.00005033272,0.000024132385],"domain_scores_gemma":[0.9997837,0.00007952199,0.000023366474,0.000026150348,0.0000726373,0.000014746764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022452144,0.0002530707,0.00023390891,0.00036260215,0.000111688874,0.00034415626,0.00024383841,0.00031464457,0.0006036927],"category_scores_gemma":[0.0005201941,0.00015689466,0.0002477787,0.00036612802,0.00032307347,0.0002898321,0.000265918,0.00024154142,0.00018344773],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006892828,0.0002584532,0.032962196,0.00022718281,0.00012783702,0.00085894077,0.00045910527,0.1385322,0.7558212,0.0021401108,0.0007319736,0.0671915],"study_design_scores_gemma":[0.00008953848,0.0008781725,0.07812777,0.000024213125,0.000097319615,0.0010186998,0.00048117954,0.6496241,0.26728043,0.0006064561,0.001713031,0.000059090075],"about_ca_topic_score_codex":0.0006848707,"about_ca_topic_score_gemma":0.00037799915,"teacher_disagreement_score":0.0006848707,"about_ca_system_score_codex":0.00013866283,"about_ca_system_score_gemma":0.00010498134,"threshold_uncertainty_score":0.0020195842},"labels":[],"label_agreement":null},{"id":"W4392613375","doi":"10.1016/j.fsir.2024.100360","title":"Concrete evidence: Analysis of aggregate and cement in a homicide investigation","year":2024,"lang":"en","type":"article","venue":"Forensic Science International Reports","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Queen's University","keywords":"Homicide; Aggregate (composite); Forensic engineering; Cement; Criminology; Engineering; Geotechnical engineering; Psychology; Poison control; Materials science; History; Archaeology; Suicide prevention; Composite material; Environmental health; Medicine","score_opus":0.02504381280058391,"score_gpt":0.31341344943371635,"score_spread":0.2883696366331324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392613375","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98972535,0.00080430676,0.004018327,0.0001719026,0.000030142395,0.00008669795,0.00049083686,0.00008384754,0.00458866],"genre_scores_gemma":[0.9841761,0.00055283157,0.012096742,0.00006781872,0.000012136683,0.000013488206,0.00027651584,0.000021521084,0.002782869],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9996253,0.000033396343,0.000038992897,0.000065330336,0.00018316912,0.00005383211],"domain_scores_gemma":[0.99951696,0.00010016523,0.00010934652,0.00004781996,0.00015312608,0.00007252448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004538461,0.0003913221,0.00018427204,0.00424285,0.001098458,0.00052019686,0.00037804476,0.00082208,0.0029626978],"category_scores_gemma":[0.0011857959,0.0003081068,0.00022802698,0.0013512057,0.00056232844,0.00032165513,0.0008003493,0.0005702173,0.00073408475],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006955416,0.0002071962,0.30379942,0.0005401702,0.00014208697,0.03500196,0.0058022034,0.0009863726,0.5659171,0.001832911,0.0013371296,0.083737895],"study_design_scores_gemma":[0.00002247257,0.0009614948,0.6914803,0.00042425407,0.00036666685,0.041216973,0.0067926785,0.0029429328,0.23193787,0.001596868,0.022153908,0.000103608334],"about_ca_topic_score_codex":0.0024306516,"about_ca_topic_score_gemma":0.011582291,"teacher_disagreement_score":0.00424285,"about_ca_system_score_codex":0.00026527458,"about_ca_system_score_gemma":0.00033301135,"threshold_uncertainty_score":0.009911239},"labels":[],"label_agreement":null},{"id":"W4392616132","doi":"10.5194/egusphere-egu24-2176","title":"Predicting Soil Bulk Density in Boreal Podzolic Soil using Ground-Penetrating Radar and Electromagnetic Induction","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Ground-penetrating radar; Boreal; Environmental science; Radar; Bulk density; Electromagnetic induction; Soil science; Remote sensing; Geology; Soil water; Engineering; Aerospace engineering; Electrical engineering","score_opus":0.018450439266700067,"score_gpt":0.2600249955786792,"score_spread":0.24157455631197913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392616132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99914145,0.00004033063,0.0003649025,0.0000071188533,0.0000011146682,0.0000114043005,0.00017336769,0.00002084542,0.00023948503],"genre_scores_gemma":[0.99818665,0.000070892675,0.0012129487,0.000007609675,9.603502e-7,0.0000071883474,0.00035799446,0.0000025442732,0.00015317768],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998435,0.0000123698865,0.000010851813,0.0000593054,0.00003629379,0.000037594018],"domain_scores_gemma":[0.9996419,0.00009257279,0.000094753275,0.000018655552,0.00010805632,0.000043999105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026142676,0.000392731,0.00027197562,0.0005956193,0.00027773716,0.00063220016,0.00053375616,0.0003210935,0.00020971567],"category_scores_gemma":[0.00051588024,0.00020797848,0.00023187912,0.0005755098,0.0003181069,0.00031786677,0.00023118926,0.00022863025,0.000091352165],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044829524,0.00024923112,0.8989649,0.000095767144,0.00006009942,0.0004732208,0.00027197975,0.017924378,0.057615347,0.000063898675,0.00021053397,0.0236224],"study_design_scores_gemma":[0.000020646323,0.00010556265,0.9761303,0.000008311463,0.00001800964,0.000086608845,0.00025343624,0.020880412,0.0023094183,0.000016843198,0.0001579996,0.00001235354],"about_ca_topic_score_codex":0.36412373,"about_ca_topic_score_gemma":0.54936016,"teacher_disagreement_score":0.36412373,"about_ca_system_score_codex":0.0018661744,"about_ca_system_score_gemma":0.0007865101,"threshold_uncertainty_score":0.72400856},"labels":[],"label_agreement":null},{"id":"W4392726744","doi":"10.2118/218044-ms","title":"Dielectric Property Measurements in Frequency Domain of Water Saturated Clean and Oil Sands at Elevated Thermobaric Conditions","year":2024,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Dielectric; Frequency domain; Materials science; Property (philosophy); Environmental science; Petroleum engineering; Optoelectronics; Geology; Computer science","score_opus":0.02030203548946635,"score_gpt":0.24572535618697014,"score_spread":0.2254233206975038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392726744","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975799,0.0000983831,0.0017530132,0.000007850336,0.000004037209,0.0000045345305,0.00016340666,0.000044639546,0.00034422748],"genre_scores_gemma":[0.9983583,0.00008147305,0.0011702238,0.0000062261142,0.000002275172,0.0000071592594,0.00010309397,0.0000098355085,0.00026133182],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998833,0.000015842852,0.000009441561,0.000030778,0.000039412615,0.000021248903],"domain_scores_gemma":[0.9997303,0.00009997033,0.00005135354,0.000025191319,0.0000752902,0.000017892644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016267652,0.00021864299,0.0002258649,0.0005056592,0.00020173704,0.00014915915,0.00017260399,0.00015932959,0.0012479792],"category_scores_gemma":[0.0003047655,0.00012598097,0.00013252231,0.00049950223,0.00022207561,0.00022973878,0.00016319776,0.000330154,0.00017069577],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016043024,0.000015893456,0.001590204,0.00003491434,0.0000069520233,0.00006622198,0.00010160387,0.00014294402,0.9955273,0.000028273578,0.000022662154,0.002302472],"study_design_scores_gemma":[0.000004131885,0.00020902645,0.023190167,0.0000045371708,0.000017016297,0.000109088534,0.00018789475,0.0017007049,0.9741813,0.000024663545,0.00036253704,0.000008748002],"about_ca_topic_score_codex":0.0006655593,"about_ca_topic_score_gemma":0.0009104013,"teacher_disagreement_score":0.0012479792,"about_ca_system_score_codex":0.00009893257,"about_ca_system_score_gemma":0.000065174434,"threshold_uncertainty_score":0.004174888},"labels":[],"label_agreement":null},{"id":"W4392977205","doi":"10.1016/j.forsciint.2024.111996","title":"Ground penetrating radar and electrical resistivity tomography surveys with a subsequent intrusive investigation in search for the missing Beaumont children in Adelaide, South Australia","year":2024,"lang":"en","type":"article","venue":"Forensic Science International","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council; Australian Research Council; Flinders University; University of Newcastle Australia","keywords":"Electrical resistivity tomography; Ground-penetrating radar; Geology; Archaeology; Feature (linguistics); Radar; Geography; Engineering; Electrical resistivity and conductivity; Telecommunications","score_opus":0.03329343800546935,"score_gpt":0.3004755437873809,"score_spread":0.26718210578191154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392977205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961856,0.0001221204,0.0004649128,0.00022971415,0.0000074597424,0.00006886293,0.000090213194,0.0000050244516,0.002826016],"genre_scores_gemma":[0.9915161,0.0003411287,0.0028752217,0.00011973283,0.0000064197893,0.000025478348,0.00009343816,0.0000038011187,0.0050186687],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995654,0.00008751968,0.000028415838,0.00007721713,0.00016944674,0.000072034236],"domain_scores_gemma":[0.9996611,0.00005269581,0.00011189084,0.000019743675,0.00009473802,0.000059895425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040827523,0.00027991243,0.00013385034,0.000908352,0.0010658122,0.000466562,0.0007064214,0.0006721507,0.0010554342],"category_scores_gemma":[0.0009388381,0.0004311372,0.00015067743,0.0008164354,0.0008469509,0.00036497676,0.0010140539,0.00073701655,0.00029003527],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020267573,0.00038418645,0.6811142,0.00031204039,0.000083569306,0.12438899,0.073446885,0.0011588621,0.029883694,0.0010517483,0.002638168,0.085335046],"study_design_scores_gemma":[0.0000068378827,0.00043876283,0.92850107,0.00011676193,0.00002056992,0.025708685,0.03596753,0.0010241509,0.00193332,0.00021303009,0.00604938,0.000019925192],"about_ca_topic_score_codex":0.085287176,"about_ca_topic_score_gemma":0.26536104,"teacher_disagreement_score":0.085287176,"about_ca_system_score_codex":0.0008492392,"about_ca_system_score_gemma":0.0014130386,"threshold_uncertainty_score":0.16958153},"labels":[],"label_agreement":null},{"id":"W4393098592","doi":"10.28991/cej-2024-010-03-05","title":"Assessment of Ground Penetrating Radar for Pyrite Swelling Detection in Soils","year":2024,"lang":"en","type":"article","venue":"Civil Engineering Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Ground-penetrating radar; Pyrite; Soil water; Geology; Remote sensing; Swelling; Geotechnical engineering; Mining engineering; Radar; Environmental science; Soil science; Mineralogy; Engineering","score_opus":0.013241777726827239,"score_gpt":0.27370031451279814,"score_spread":0.2604585367859709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393098592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9606533,0.0006410621,0.03373652,0.000049141876,0.000010393275,0.00015594279,0.00037262173,0.00032647568,0.004054449],"genre_scores_gemma":[0.97096485,0.00046516428,0.027163124,0.000029163044,0.0000066134235,0.000030920364,0.0003133117,0.000014632793,0.0010123334],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999566,0.000099500154,0.000013326895,0.000041286865,0.00022288327,0.00005696071],"domain_scores_gemma":[0.9994128,0.00016133032,0.000076644064,0.000025508958,0.00028680317,0.00003706155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010166033,0.0004456774,0.00022525906,0.0010420097,0.00012278341,0.0006359563,0.00032716952,0.0004215108,0.00079004024],"category_scores_gemma":[0.0011965248,0.00019468482,0.00012709902,0.00078648987,0.0001624423,0.00032821795,0.00027267225,0.00015796362,0.00039063624],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060049095,0.00024044001,0.1798676,0.00041912892,0.00007991697,0.0006874812,0.00030105433,0.016560027,0.58706987,0.00024270419,0.00077813386,0.2131532],"study_design_scores_gemma":[0.000046708938,0.0010993931,0.7314077,0.00006282972,0.0001656674,0.000960448,0.0009905343,0.16036706,0.10113996,0.00021812777,0.003479081,0.00006241186],"about_ca_topic_score_codex":0.010702786,"about_ca_topic_score_gemma":0.02468156,"teacher_disagreement_score":0.010702786,"about_ca_system_score_codex":0.00036322197,"about_ca_system_score_gemma":0.00035636695,"threshold_uncertainty_score":0.021281004},"labels":[],"label_agreement":null},{"id":"W4393193707","doi":"10.3389/feart.2024.1353572","title":"Imaging tree root systems using ground penetrating radar (GPR) data in Brazil","year":2024,"lang":"en","type":"article","venue":"Frontiers in Earth Science","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of Saskatchewan","funders":"","keywords":"Ground-penetrating radar; Remote sensing; Geology; Radar; Computer science; Telecommunications","score_opus":0.02337607229467587,"score_gpt":0.29417849358957354,"score_spread":0.2708024212948977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393193707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940615,0.0003855409,0.0021890968,0.000080235885,0.000005111485,0.000030315827,0.00087133906,0.000057474328,0.0023194517],"genre_scores_gemma":[0.99403834,0.00041122793,0.0044272896,0.000022746804,0.0000050724016,0.000012507254,0.00057703303,0.000019588673,0.00048623918],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99971277,0.000037205533,0.000024699777,0.00008316007,0.000091459326,0.000050731185],"domain_scores_gemma":[0.99955577,0.00011195986,0.00007347438,0.00003745632,0.000189422,0.000031819643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039484748,0.00021868573,0.0003070652,0.0012814507,0.00031449343,0.0005633834,0.0003447513,0.00036306618,0.00038809143],"category_scores_gemma":[0.00092744414,0.00016944727,0.0001952181,0.0014755706,0.00033718612,0.0003970011,0.00047341638,0.00015901377,0.00020512148],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021454897,0.00020224674,0.58540773,0.00090112444,0.0001425854,0.005114506,0.012476363,0.0050253947,0.1317721,0.0012101474,0.0018225727,0.2557107],"study_design_scores_gemma":[0.000011202043,0.00015004087,0.96839786,0.00009480726,0.000073400755,0.0016429761,0.0063633053,0.008783975,0.0066447346,0.00042877067,0.007358197,0.000050770734],"about_ca_topic_score_codex":0.034243155,"about_ca_topic_score_gemma":0.08505638,"teacher_disagreement_score":0.034243155,"about_ca_system_score_codex":0.0004981053,"about_ca_system_score_gemma":0.00041675285,"threshold_uncertainty_score":0.0680877},"labels":[],"label_agreement":null},{"id":"W4393208384","doi":"10.25144/16062","title":"TIME-FREQUENCY ANALYSIS AND MODAL BEHAVIOR FROM AIRGUN SIGNALS IN SHALLOW WATER","year":2023,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Modal; Computer science; Waves and shallow water; Acoustics; Modal analysis; Geology; Materials science; Oceanography; Physics","score_opus":0.012185739272241746,"score_gpt":0.24858312998674517,"score_spread":0.2363973907145034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393208384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7978189,0.00018233173,0.19799532,0.000105607956,0.00002911007,0.000014897634,0.00015542192,0.00021165542,0.0034867437],"genre_scores_gemma":[0.9817292,0.0001427217,0.015612017,0.000015492407,0.000014693593,0.000007671785,0.00012748696,0.000037406713,0.0023132057],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999378,0.000009623421,0.0000020358784,0.000009937995,0.000030860123,0.000009739644],"domain_scores_gemma":[0.99982613,0.00009172066,0.000019673662,0.000011603643,0.000040810326,0.000010162282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011297951,0.00021542377,0.0001241292,0.00033177927,0.00013348898,0.00021310606,0.00016682321,0.00024771964,0.0014743486],"category_scores_gemma":[0.00061781594,0.000092024165,0.00013545851,0.0002767301,0.00024602047,0.0004660424,0.0003278714,0.0002776736,0.00022078332],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050224527,0.00014151774,0.012960117,0.00035832083,0.00004669231,0.0006988564,0.0009934533,0.10353384,0.6348114,0.0070649004,0.000968431,0.23792024],"study_design_scores_gemma":[0.000010479801,0.00015522484,0.0348183,0.0000283517,0.00001955056,0.0003586034,0.0005106702,0.92027533,0.03927011,0.0031041002,0.0014145445,0.000034766657],"about_ca_topic_score_codex":0.0013222081,"about_ca_topic_score_gemma":0.0020243467,"teacher_disagreement_score":0.0014743486,"about_ca_system_score_codex":0.00010361226,"about_ca_system_score_gemma":0.00011694365,"threshold_uncertainty_score":0.004932165},"labels":[],"label_agreement":null},{"id":"W4393893128","doi":"10.5281/zenodo.1209371","title":"Calibrated Radarsat-2 Soil Moisture Retrievals At The Trail Valley Creek Study Site","year":2018,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Guelph","funders":"","keywords":"Environmental science; Water content; Hydrology (agriculture); Moisture; Climatology; Physical geography; Remote sensing; Geology; Meteorology; Geography","score_opus":0.031100418054902275,"score_gpt":0.25742746583387227,"score_spread":0.22632704777897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393893128","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.089380905,0.0000891219,0.0003689543,0.00010416793,0.000031075124,0.0000286331,0.9081636,0.00035973752,0.0014737911],"genre_scores_gemma":[0.032630567,0.000039607214,0.000569825,0.000027931546,0.000010725504,0.00004685981,0.96520996,0.000053510223,0.0014110246],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99970394,0.000029764331,0.000025285388,0.00011421047,0.0000812586,0.000045571247],"domain_scores_gemma":[0.9995189,0.00003930604,0.00007752669,0.00012994018,0.00017902796,0.000055261396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005237642,0.0005929767,0.0005079004,0.0010951322,0.00022868715,0.00048594168,0.0009352481,0.0005699519,0.004150617],"category_scores_gemma":[0.0007464016,0.00024727295,0.00030357015,0.0019680508,0.00018752599,0.0003584144,0.00056135195,0.000404177,0.0042468305],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00081955106,0.00049809145,0.15622076,0.00048383378,0.0003278254,0.00041549702,0.00018806795,0.021029385,0.0046502673,0.0009539035,0.7824826,0.03193017],"study_design_scores_gemma":[0.0011891174,0.000119273085,0.59291846,0.00021870321,0.00014496184,0.00023476465,0.00043062936,0.020248756,0.004836933,0.0010634947,0.37848428,0.00011065832],"about_ca_topic_score_codex":0.05019416,"about_ca_topic_score_gemma":0.0864147,"teacher_disagreement_score":0.05019416,"about_ca_system_score_codex":0.0006511174,"about_ca_system_score_gemma":0.00087880954,"threshold_uncertainty_score":0.099803984},"labels":[],"label_agreement":null},{"id":"W4394251234","doi":"10.6084/m9.figshare.8262020","title":"Jerash Northwest Quarter GPR data","year":2019,"lang":"en","type":"dataset","venue":"Figshare","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Ground-penetrating radar; Geology; Geography; Archaeology; Computer science; Telecommunications; Radar","score_opus":0.08433260207495367,"score_gpt":0.3081741445198082,"score_spread":0.2238415424448545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394251234","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008308549,0.00003999339,0.000178761,0.000050234616,0.000034325905,0.00002816923,0.99608564,0.00047285637,0.0022792134],"genre_scores_gemma":[0.0012079057,0.000034383444,0.0004699561,0.000024838124,0.0000070588567,0.000053350854,0.9958038,0.00009418284,0.0023044844],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992478,0.000090225774,0.000055773296,0.00019432775,0.0002840666,0.00012782095],"domain_scores_gemma":[0.9988537,0.000088680055,0.000071202965,0.00034272208,0.0005469996,0.00009667473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078145176,0.001347051,0.000874994,0.0022368066,0.0006345798,0.0013258177,0.0018639978,0.0012935307,0.04767201],"category_scores_gemma":[0.002312887,0.0005618313,0.00075843255,0.0034531674,0.00031663818,0.0007181099,0.0010137033,0.0009777937,0.085013255],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013034881,0.000058246478,0.0011862913,0.0003059628,0.000030375399,0.000046096004,0.000047101825,0.0010081159,0.00051668304,0.00042946354,0.9891426,0.0070986585],"study_design_scores_gemma":[0.00015636848,0.000029629624,0.011155561,0.00013638339,0.000028334705,0.000074997806,0.00016532051,0.00123588,0.0010500613,0.0005546103,0.985371,0.00004185618],"about_ca_topic_score_codex":0.059453532,"about_ca_topic_score_gemma":0.084914364,"teacher_disagreement_score":0.059453532,"about_ca_system_score_codex":0.0008645708,"about_ca_system_score_gemma":0.0017699449,"threshold_uncertainty_score":0.15947872},"labels":[],"label_agreement":null},{"id":"W4396629606","doi":"10.1007/978-3-031-59419-9_33","title":"Effect of GU vs. GUL Cement on AAR Testing of Concrete Aggregates","year":2024,"lang":"en","type":"book-chapter","venue":"Rilem bookseries","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Transportation of Ontario","funders":"","keywords":"Cement; Geotechnical engineering; Geology; Materials science; Composite material","score_opus":0.014631155033125474,"score_gpt":0.24326377468183935,"score_spread":0.22863261964871387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396629606","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9463697,0.010316044,0.007076461,0.00047825737,0.0002656532,0.00007057007,0.0005071199,0.0006955462,0.034220647],"genre_scores_gemma":[0.9758881,0.0015898332,0.0053744395,0.00018101269,0.000053133805,0.000016925815,0.00021306632,0.00028803438,0.01639553],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978623,0.00064140395,0.000118481425,0.00033098573,0.0008094988,0.000237419],"domain_scores_gemma":[0.994945,0.0037258659,0.00029685555,0.00029892143,0.00051327073,0.0002200819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018812258,0.00045809956,0.0006691527,0.00076177943,0.00074497715,0.0012400274,0.0011679906,0.00078979146,0.0071568503],"category_scores_gemma":[0.004298296,0.00048137407,0.0004455863,0.0006710498,0.00093239296,0.0011460683,0.00075515115,0.00068295735,0.0012075192],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009517154,0.0002589025,0.0022553157,0.00039351353,0.00006248816,0.00030531784,0.00051094283,0.0036712675,0.9488953,0.0011897413,0.0010061954,0.03193398],"study_design_scores_gemma":[0.00004754879,0.0021004914,0.0040676473,0.000035372414,0.00009634036,0.00015868108,0.00015775599,0.0031578986,0.98615056,0.00018037704,0.0038265982,0.0000206677],"about_ca_topic_score_codex":0.004208488,"about_ca_topic_score_gemma":0.010704655,"teacher_disagreement_score":0.0071568503,"about_ca_system_score_codex":0.00088810024,"about_ca_system_score_gemma":0.0006482939,"threshold_uncertainty_score":0.023942053},"labels":[],"label_agreement":null},{"id":"W4396655527","doi":"10.1007/978-3-031-59349-9_5","title":"Assessment of ASR-Induced Expansion and Deterioration in Conventional Concrete Incorporating a Highly Reactive Coarse Aggregate via Resonant Ultrasound Spectroscopy Coupled with Imaging Techniques","year":2024,"lang":"en","type":"book-chapter","venue":"Rilem bookseries","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Aggregate (composite); Resonant ultrasound spectroscopy; Materials science; Spectroscopy; Ultrasound; Composite material; Acoustics; Physics","score_opus":0.009487647568386832,"score_gpt":0.25701197550759447,"score_spread":0.24752432793920764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396655527","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97641593,0.0006603698,0.017773604,0.00003361888,0.000022343122,0.000046701283,0.00030523396,0.0001372584,0.004604878],"genre_scores_gemma":[0.97170883,0.0007449375,0.01663699,0.000039847895,0.000008786089,0.000053732238,0.00027950466,0.00004071637,0.01048669],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99979764,0.000018281542,0.000006583433,0.000034220993,0.00012736862,0.000015892037],"domain_scores_gemma":[0.9998266,0.000050832765,0.000043663607,0.000016712107,0.00005151487,0.000010819092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034283934,0.00026609172,0.00017932644,0.00025064757,0.0001385851,0.00024108219,0.00028035475,0.00036477554,0.0012445297],"category_scores_gemma":[0.00024104655,0.00016273564,0.00016988633,0.00020831803,0.00034310124,0.00034361662,0.0002246838,0.00032300077,0.0002816748],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006743423,0.000022439834,0.00044093814,0.000022124785,0.0000023293346,0.00002406047,0.000025383395,0.00069251546,0.99464613,0.000076603865,0.00004458937,0.003935366],"study_design_scores_gemma":[0.000004589568,0.0004993916,0.021449024,0.0000070961746,0.000012495111,0.00010031198,0.00007765086,0.010378594,0.96635133,0.00009546475,0.0010087843,0.000015281936],"about_ca_topic_score_codex":0.00097507535,"about_ca_topic_score_gemma":0.0034158567,"teacher_disagreement_score":0.0012445297,"about_ca_system_score_codex":0.00028364986,"about_ca_system_score_gemma":0.00020163954,"threshold_uncertainty_score":0.004163325},"labels":[],"label_agreement":null},{"id":"W4398203625","doi":"10.1088/1755-1315/1330/1/012001","title":"CPT calibration chamber testing on tailings","year":2024,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Tailings; Calibration; Environmental science; Materials science; Metallurgy; Mathematics; Statistics","score_opus":0.018164812011643494,"score_gpt":0.22166395219142523,"score_spread":0.20349914017978174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398203625","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9837155,0.00029587394,0.01327294,0.000026641605,0.00007204953,0.000099881974,0.00070826145,0.00023967409,0.001569304],"genre_scores_gemma":[0.9893169,0.0003061271,0.006699921,0.000041698426,0.000012092375,0.00003944962,0.00034700456,0.000048439804,0.003188254],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99941945,0.000044000306,0.000034126715,0.00013208146,0.00029380393,0.00007657488],"domain_scores_gemma":[0.9983084,0.000385375,0.00022243944,0.0001625401,0.00083775265,0.00008356464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037509212,0.00042609943,0.00021283762,0.0004940197,0.00023494063,0.0002602832,0.000497806,0.000433862,0.001931494],"category_scores_gemma":[0.001427241,0.00015098865,0.0002269278,0.0004845968,0.00026643902,0.000373623,0.0003386805,0.00029235985,0.00037399842],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017323997,0.000055890257,0.00483982,0.00009313938,0.000009200884,0.0002718459,0.00019230528,0.0012638947,0.97806793,0.000112052956,0.00033619927,0.014584416],"study_design_scores_gemma":[0.0000053385243,0.00065428775,0.017613402,0.000019929315,0.000019640016,0.00019613709,0.00012892029,0.005014417,0.9738221,0.00003850719,0.0024630893,0.00002419623],"about_ca_topic_score_codex":0.0025700612,"about_ca_topic_score_gemma":0.0034246028,"teacher_disagreement_score":0.0025700612,"about_ca_system_score_codex":0.00023945478,"about_ca_system_score_gemma":0.00019832862,"threshold_uncertainty_score":0.006461501},"labels":[],"label_agreement":null},{"id":"W4398868196","doi":"10.7910/dvn/qjutzo","title":"2023 Blackfoot Landfill Surface Methane Concentration Survey, Calgary, Alberta, Canada","year":2023,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Methane; Environmental science; Hydrology (agriculture); Geography; Geology; Ecology; Geotechnical engineering; Biology","score_opus":0.01795319045465782,"score_gpt":0.2426944222365898,"score_spread":0.22474123178193198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398868196","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00038960227,0.000062190345,0.00004498182,0.00004451288,0.000013823932,0.000010232886,0.99825114,0.0001180905,0.0010653957],"genre_scores_gemma":[0.0011012085,0.00008400983,0.0002440154,0.000030245268,0.0000042840984,0.000029260254,0.9967334,0.00003231595,0.0017411392],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99943227,0.00003280005,0.000033126325,0.00013048222,0.00023301669,0.00013826943],"domain_scores_gemma":[0.9980354,0.00012406199,0.00009563564,0.000183682,0.0013316136,0.00022968724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057919504,0.0015200147,0.00097405957,0.0038993796,0.0016011648,0.0018861315,0.0024210094,0.0009160587,0.026553696],"category_scores_gemma":[0.0024321182,0.00060844986,0.0006515808,0.01195155,0.00043362856,0.0004751617,0.00088991504,0.0011349174,0.021415245],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048098434,0.000014204182,0.0029352284,0.00020912325,0.000025002924,0.00002651525,0.000026441086,0.00049448904,0.00006860644,0.00035077005,0.9922907,0.003510823],"study_design_scores_gemma":[0.00019103842,0.000011888623,0.05257645,0.00037779857,0.00004606652,0.00004164491,0.0003533874,0.0016053485,0.00047003,0.001060137,0.9432149,0.000051260176],"about_ca_topic_score_codex":0.96347106,"about_ca_topic_score_gemma":0.98144686,"teacher_disagreement_score":0.036528945,"about_ca_system_score_codex":0.011202983,"about_ca_system_score_gemma":0.024081966,"threshold_uncertainty_score":0.08883095},"labels":[],"label_agreement":null},{"id":"W4399221648","doi":"10.1016/j.advwatres.2024.104734","title":"Parameter resolution of simulated responses to periodic hydraulic tomography signals in aquifers","year":2024,"lang":"en","type":"article","venue":"Advances in Water Resources","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Ministère des Ressources naturelles et des Forêts (Québec); Geological Survey of Canada","funders":"","keywords":"Aquifer; Tomography; Geology; Hydraulic conductivity; Soil science; Environmental science; Hydrology (agriculture); Geotechnical engineering; Petroleum engineering; Groundwater; Physics; Optics; Soil water","score_opus":0.010661974563601705,"score_gpt":0.27895743461365535,"score_spread":0.26829546005005367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399221648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913129,0.000031210475,0.006852113,0.00012454532,0.000010534485,0.000006721834,0.00028834966,0.00019296986,0.0011807114],"genre_scores_gemma":[0.9992083,0.000006829904,0.0005610967,0.000007283504,0.0000010206818,0.000002469519,0.00010669288,0.000007807407,0.00009847539],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998293,0.000055567358,0.000012052485,0.00004106657,0.000025377782,0.000036655874],"domain_scores_gemma":[0.9990119,0.0006663356,0.00006167624,0.00008623171,0.00013734879,0.00003649794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040353037,0.0002930829,0.00025143143,0.00026321423,0.0002458219,0.00050201884,0.00046135706,0.00097049517,0.001212768],"category_scores_gemma":[0.0028092554,0.0002699132,0.00026946503,0.0003360169,0.00040072988,0.0004935323,0.0002848146,0.00042810026,0.00011121402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014226678,0.0000630524,0.005334028,0.000017502976,0.000016456268,0.00005613369,0.00003823767,0.9850531,0.0044343537,0.0003979209,0.0002217862,0.004225001],"study_design_scores_gemma":[0.000011977611,0.000018805727,0.0022151412,0.0000024084945,0.0000035124726,0.000008865999,0.000019712783,0.99555874,0.0019199688,0.00017877568,0.00005503195,0.000006957622],"about_ca_topic_score_codex":0.01236414,"about_ca_topic_score_gemma":0.005664013,"teacher_disagreement_score":0.01236414,"about_ca_system_score_codex":0.0005631367,"about_ca_system_score_gemma":0.0005712599,"threshold_uncertainty_score":0.024584353},"labels":[],"label_agreement":null},{"id":"W4399352874","doi":"10.21428/d82e957c.a04caf7d","title":"Critical Infrastructure Asset Imaging Pipeline","year":2024,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Asset (computer security); Computer science; Pipeline (software); Identification (biology); Image quality; Computer vision; Artificial intelligence; Image resolution; Image (mathematics); Computer security","score_opus":0.005815915468202167,"score_gpt":0.2890365738648466,"score_spread":0.28322065839664445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399352874","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05049717,0.001837817,0.79489136,0.0013363833,0.00030198763,0.0011498984,0.016003115,0.072348796,0.06163345],"genre_scores_gemma":[0.33649173,0.0019351534,0.5767679,0.0010703844,0.00020222305,0.00058515236,0.044613883,0.00375853,0.03457503],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999716,0.000015654345,0.000012818285,0.000055488676,0.00012582442,0.000074083706],"domain_scores_gemma":[0.9996834,0.000037427144,0.000021430154,0.00006184933,0.00015718302,0.000038705937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032038044,0.0009839493,0.0005534954,0.0017687272,0.00035936284,0.0010745437,0.0011166098,0.0008007708,0.025941387],"category_scores_gemma":[0.0009670841,0.00043863017,0.00064685824,0.00080548815,0.00020389612,0.0012745351,0.0015981612,0.0008002613,0.015974255],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051554746,0.00014872567,0.0060507115,0.0007484854,0.000117001815,0.0011322845,0.00035576287,0.014651943,0.09731388,0.0037231504,0.15110156,0.72414094],"study_design_scores_gemma":[0.00015161191,0.0005236433,0.02908382,0.0002860943,0.0001737934,0.005293767,0.000673628,0.37062463,0.15730143,0.0133171175,0.42236158,0.00020883253],"about_ca_topic_score_codex":0.004288047,"about_ca_topic_score_gemma":0.0063396334,"teacher_disagreement_score":0.025941387,"about_ca_system_score_codex":0.0005206694,"about_ca_system_score_gemma":0.0009948679,"threshold_uncertainty_score":0.086782634},"labels":[],"label_agreement":null},{"id":"W4399423531","doi":"10.52381/icop2024.163.1","title":"Detection of ice wedges in Yedoma along the Dalton Highway, Alaska, USA, using capacitive-coupled electrical resistivity tomography","year":2024,"lang":"en","type":"report","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Center for Northern Studies","funders":"","keywords":"Permafrost; Electrical resistivity tomography; Geology; Ground-penetrating radar; Borehole; Geomorphology; Thermokarst; Electrical resistivity and conductivity; Geotechnical engineering; Radar; Oceanography","score_opus":0.029291318075389913,"score_gpt":0.28912069603754514,"score_spread":0.2598293779621552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399423531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985557,0.000048380098,0.00065958296,0.0000129128375,0.0000029545956,0.000009126696,0.000120308265,0.000022273603,0.0005686151],"genre_scores_gemma":[0.9973591,0.00005660333,0.0019761412,0.000007955124,0.0000015920901,0.000006463733,0.00019743395,0.0000015730795,0.00039308114],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99993837,0.0000064284354,0.000004039019,0.000023963456,0.000018089117,0.000009090844],"domain_scores_gemma":[0.99990034,0.000012990753,0.000023463392,0.000007833586,0.000041007574,0.000014328722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016070665,0.00018640306,0.00007734352,0.0004993701,0.00023021086,0.00031087623,0.00018303869,0.0002613378,0.0001974795],"category_scores_gemma":[0.00027140445,0.00009997034,0.00006309163,0.0003596854,0.00019841336,0.00023921064,0.0002945811,0.00012717952,0.000066357075],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029158255,0.00012485163,0.7955044,0.00009818642,0.000044699045,0.002175966,0.0021527156,0.005890576,0.13965733,0.00019273441,0.00043854644,0.05342852],"study_design_scores_gemma":[0.000011541944,0.00011467824,0.96524864,0.000022228634,0.000028080367,0.0004600128,0.0021059383,0.017292952,0.01334759,0.0000740826,0.0012774618,0.00001679979],"about_ca_topic_score_codex":0.014765915,"about_ca_topic_score_gemma":0.053141437,"teacher_disagreement_score":0.014765915,"about_ca_system_score_codex":0.00017614788,"about_ca_system_score_gemma":0.00024352963,"threshold_uncertainty_score":0.029359937},"labels":[],"label_agreement":null},{"id":"W4399619869","doi":"10.1109/tgrs.2024.3410184","title":"Enhancing Ground-Penetrating Radar (GPR) Data Resolution Through Weakly Supervised Learning","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Geoscience and Remote Sensing","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Ground-penetrating radar; Remote sensing; Radar; Geology; Radar imaging; Radar tracker; Lidar; Computer science; Telecommunications","score_opus":0.03187145324695384,"score_gpt":0.28027784220526697,"score_spread":0.24840638895831313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399619869","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07070525,0.0003236663,0.92596143,0.00026835492,0.00003826087,0.000032108856,0.00011974581,0.0008840376,0.0016671396],"genre_scores_gemma":[0.80968195,0.00032992402,0.18592781,0.0004915628,0.00007772004,0.00007517871,0.00068972073,0.0001726295,0.002553543],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994288,0.00017760386,0.000025363286,0.00016363864,0.00015049371,0.000054106175],"domain_scores_gemma":[0.9981275,0.0010416713,0.000205594,0.00029364752,0.00026204748,0.00006949774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010945873,0.00090674154,0.0006908617,0.00038751715,0.0002022721,0.00063280505,0.0011482177,0.0009079488,0.0007783433],"category_scores_gemma":[0.004846587,0.00035266113,0.0006313797,0.00032408838,0.0007747731,0.0011640531,0.0012084674,0.0015049687,0.00044355425],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036922307,0.00023029053,0.005601162,0.00019888935,0.00010590986,0.00028284406,0.00020404265,0.6698062,0.04174337,0.0045512617,0.0037287541,0.2731781],"study_design_scores_gemma":[0.0000060217467,0.00003948825,0.00044425554,0.000007985838,0.000009560533,0.0000568934,0.000011949446,0.9914442,0.0055172644,0.0019993742,0.00045550783,0.00000766397],"about_ca_topic_score_codex":0.00086729974,"about_ca_topic_score_gemma":0.0013204387,"teacher_disagreement_score":0.0011482177,"about_ca_system_score_codex":0.00032852034,"about_ca_system_score_gemma":0.00036122862,"threshold_uncertainty_score":0.0057888627},"labels":[],"label_agreement":null},{"id":"W4399703355","doi":"10.1680/jwarm.23.00039","title":"Prediction of alkali–silica reaction expansions of mortars containing glass waste","year":2024,"lang":"en","type":"article","venue":"Proceedings of the Institution of Civil Engineers - Waste and Resource Management","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Mortar; Environmental science; Waste management; Materials science; Composite material; Engineering","score_opus":0.011359354194487754,"score_gpt":0.2084514101341648,"score_spread":0.19709205593967705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399703355","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98477757,0.00013629656,0.014147161,0.000017247707,0.000010342484,0.000015733884,0.000105569205,0.000069683156,0.0007203095],"genre_scores_gemma":[0.99709105,0.00008027459,0.0022503051,0.000003459256,0.0000016845295,0.000009465287,0.00010654827,0.000006815367,0.00045050096],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998393,0.000033255343,0.000013453349,0.00004327357,0.00004810337,0.000022564265],"domain_scores_gemma":[0.99966574,0.00016733457,0.00007913814,0.00001573732,0.000058228507,0.000013745722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055461755,0.00079367124,0.00037244783,0.00052368804,0.00015373659,0.00045883568,0.00026771243,0.00053401646,0.000398203],"category_scores_gemma":[0.0007821524,0.00028976,0.00055782584,0.00018894351,0.00018600588,0.00045235635,0.00025792822,0.00035752833,0.00015016051],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043067755,0.00019864338,0.043534804,0.00013968885,0.00009465541,0.00013512315,0.000040349616,0.8689948,0.06075245,0.00013342341,0.000111014306,0.025434475],"study_design_scores_gemma":[0.0000040934774,0.00018437082,0.017983112,0.000009349862,0.00002889782,0.000021329875,0.000026175414,0.9502997,0.031202499,0.00010162705,0.000126516,0.000012306723],"about_ca_topic_score_codex":0.005658465,"about_ca_topic_score_gemma":0.0075989943,"teacher_disagreement_score":0.005658465,"about_ca_system_score_codex":0.00051758025,"about_ca_system_score_gemma":0.00033262168,"threshold_uncertainty_score":0.011251092},"labels":[],"label_agreement":null},{"id":"W4400033029","doi":"10.1109/tkde.2024.3419449","title":"Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Knowledge and Data Engineering","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; McGill University; Vector Institute; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Hessian matrix; Perturbation (astronomy); Artificial intelligence; Mathematical optimization; Machine learning; Mathematics; Applied mathematics","score_opus":0.025899535669202722,"score_gpt":0.28029992811947274,"score_spread":0.25440039245027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400033029","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010634783,0.00038409155,0.9865455,0.00018768999,0.00004657502,0.000051774285,0.00007578691,0.0012003221,0.0008735953],"genre_scores_gemma":[0.5507675,0.00049013156,0.4401124,0.00047519,0.00021653975,0.00028707736,0.0008556178,0.0005223069,0.006273283],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988526,0.0002796941,0.00006924209,0.00028975087,0.0003879596,0.000120696204],"domain_scores_gemma":[0.9973374,0.0012002393,0.00026989036,0.0005170381,0.00052572147,0.00014973446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022210642,0.0018565977,0.0016674211,0.00094516866,0.0006653883,0.001260616,0.0022796297,0.0017781969,0.0024546655],"category_scores_gemma":[0.008421745,0.0006901497,0.00085121556,0.00088742736,0.001720172,0.0022173221,0.0018256173,0.0030406439,0.0013035198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025583713,0.00021258608,0.0010036911,0.00019218065,0.000097007076,0.0001260057,0.00011571151,0.7649853,0.0065822382,0.010297414,0.0049072215,0.21122488],"study_design_scores_gemma":[0.000006846312,0.000034324334,0.00007088535,0.0000048161455,0.0000038052008,0.000017957867,0.000005787356,0.9951931,0.0008233324,0.0035227835,0.00030980443,0.000006617384],"about_ca_topic_score_codex":0.0050241333,"about_ca_topic_score_gemma":0.005953205,"teacher_disagreement_score":0.0050241333,"about_ca_system_score_codex":0.0012196283,"about_ca_system_score_gemma":0.0017816527,"threshold_uncertainty_score":0.011746228},"labels":[],"label_agreement":null},{"id":"W4400648769","doi":"10.1109/imbioc60287.2024.10590183","title":"Investigating the Use of Physics-Endowed Machine Learning for Pole/Residue Extraction","year":2024,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Residue (chemistry); Extraction (chemistry); Computer science; Artificial intelligence; Physics; Chromatography; Chemistry","score_opus":0.067032635635843,"score_gpt":0.3065652781562557,"score_spread":0.23953264252041273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400648769","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044237837,0.00033904717,0.9513795,0.00023705847,0.000033233377,0.000029420064,0.00002459304,0.0005345569,0.003184759],"genre_scores_gemma":[0.7765929,0.00041932508,0.2210204,0.000057552024,0.00002981267,0.00003769275,0.00008617669,0.00012446422,0.0016317173],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999759,0.00009599286,0.000011593727,0.000046701833,0.000066620654,0.000020067348],"domain_scores_gemma":[0.99869055,0.0009322068,0.00009850015,0.0001599552,0.00009480186,0.000024113511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012417318,0.0006763252,0.00044177775,0.00053617544,0.00029580024,0.00078438595,0.0005052889,0.0006102706,0.0016701492],"category_scores_gemma":[0.004849403,0.00024723265,0.00033712215,0.00037798457,0.00065748696,0.0013558309,0.000603219,0.0006863055,0.00047538054],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024763175,0.00013493378,0.0028589016,0.00041172578,0.00009503043,0.00029340762,0.0001824801,0.61621916,0.080181904,0.07391028,0.0006529998,0.22481154],"study_design_scores_gemma":[0.000004915037,0.000042875214,0.0004388262,0.000014022965,0.0000048511542,0.000053051175,0.000012277606,0.9786179,0.0068702707,0.013289897,0.0006423053,0.000008759361],"about_ca_topic_score_codex":0.0006750141,"about_ca_topic_score_gemma":0.0008205069,"teacher_disagreement_score":0.0016701492,"about_ca_system_score_codex":0.00031227057,"about_ca_system_score_gemma":0.0005256334,"threshold_uncertainty_score":0.0065669417},"labels":[],"label_agreement":null},{"id":"W4400651390","doi":"10.1080/19386362.2024.2377450","title":"Advanced method for estimating the volumetric intensity along tunnels using ANN","year":2024,"lang":"en","type":"article","venue":"International Journal of Geotechnical Engineering","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Intensity (physics); Geotechnical engineering; Geology; Computer science; Environmental science; Civil engineering; Engineering; Physics; Optics","score_opus":0.018942512777984317,"score_gpt":0.32622669453665254,"score_spread":0.30728418175866823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400651390","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012272705,0.000104501705,0.9848573,0.0000545343,0.000026679882,0.000040080056,0.00012881318,0.00080651103,0.0017088639],"genre_scores_gemma":[0.39940524,0.00031832085,0.5949471,0.000058185156,0.000040442792,0.0005057565,0.0003958155,0.00014663587,0.0041825473],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998217,0.000048611462,0.000018039513,0.000042119897,0.000054939468,0.000014631152],"domain_scores_gemma":[0.9994691,0.00029369863,0.000054937223,0.000028137487,0.00014348523,0.000010726555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000575732,0.0008124758,0.00042811866,0.0007777657,0.00031288477,0.0005969546,0.00077598897,0.0008319197,0.003025002],"category_scores_gemma":[0.0015078088,0.0003981493,0.00064441696,0.00067053357,0.00020683325,0.0005310931,0.00048070095,0.00081517675,0.0005404683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030085866,0.000028749118,0.0013475803,0.000095295065,0.00003655189,0.00006854695,0.000038620332,0.9186061,0.002836388,0.0019268786,0.0004932383,0.07449191],"study_design_scores_gemma":[0.0000017136764,0.000005135573,0.00016941462,0.0000069253747,0.000002936502,0.000008504857,0.0000038856533,0.9986708,0.0003772777,0.00047493118,0.00027488032,0.0000035804853],"about_ca_topic_score_codex":0.006212107,"about_ca_topic_score_gemma":0.006062203,"teacher_disagreement_score":0.006212107,"about_ca_system_score_codex":0.0003398881,"about_ca_system_score_gemma":0.00073698704,"threshold_uncertainty_score":0.01235193},"labels":[],"label_agreement":null},{"id":"W4400738734","doi":"10.1002/rra.4352","title":"Water penetrating radar: A fluvial scour study of antenna performance and data processing","year":2024,"lang":"en","type":"article","venue":"River Research and Applications","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Queen's University; Queen's University Belfast; Sheffield Hallam University","keywords":"Fluvial; Radar; Geology; Environmental science; Remote sensing; River management; Hydrology (agriculture); Geomorphology; Geotechnical engineering; Engineering; Telecommunications; Environmental resource management","score_opus":0.09603733930256612,"score_gpt":0.3982908213754934,"score_spread":0.30225348207292724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400738734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98640776,0.00010923713,0.012101502,0.000030093974,0.0000052524756,0.000023190461,0.00006210204,0.00008750319,0.0011732752],"genre_scores_gemma":[0.9946057,0.00006593675,0.0044793845,0.000018909852,0.000005549025,0.000010550081,0.00012447055,0.000021534073,0.00066804147],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997284,0.0000823543,0.0000117283535,0.000040678737,0.00009722725,0.000039672723],"domain_scores_gemma":[0.9987447,0.00063204876,0.00010008717,0.00007909766,0.00040080078,0.000043273794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077620824,0.00024634367,0.00015441138,0.00032953545,0.00016322017,0.000302415,0.00020026155,0.00021608597,0.00056648813],"category_scores_gemma":[0.0016693518,0.000099067765,0.00009443434,0.00041301755,0.00019767295,0.00022560729,0.0001639225,0.00015127861,0.00024571174],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008827484,0.0002960375,0.07242666,0.00014557962,0.00007232057,0.0009925982,0.0006082509,0.011462464,0.78956676,0.0003605691,0.0007665558,0.1224195],"study_design_scores_gemma":[0.00011766616,0.006732769,0.49489993,0.000032867327,0.000100611906,0.0031854466,0.00062738504,0.109840676,0.3804667,0.0002993322,0.003623003,0.00007373198],"about_ca_topic_score_codex":0.0018969165,"about_ca_topic_score_gemma":0.0013187947,"teacher_disagreement_score":0.0018969165,"about_ca_system_score_codex":0.00012399328,"about_ca_system_score_gemma":0.000110287845,"threshold_uncertainty_score":0.004104972},"labels":[],"label_agreement":null},{"id":"W4400765059","doi":"10.3390/heritage7070179","title":"Using Geophysics to Locate Holocaust Era Mass Graves in Jewish Cemeteries: Examples from Latvia and Lithuania","year":2024,"lang":"en","type":"article","venue":"Heritage","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BGC Engineering (Canada)","funders":"University of Wisconsin-Eau Claire; Duquesne University","keywords":"The Holocaust; Judaism; Ancient history; History; Geophysics; Archaeology; Geology; Political science; Law","score_opus":0.05734095705760405,"score_gpt":0.27899539370428744,"score_spread":0.22165443664668338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400765059","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98765206,0.0012449131,0.0003529477,0.0002717985,0.00001170197,0.000018382343,0.00010281753,0.000012575711,0.010332815],"genre_scores_gemma":[0.99433136,0.0014266281,0.0012827957,0.00008857733,0.0000128120755,0.000012807775,0.00016685852,0.000012247774,0.0026659835],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997727,0.000073138086,0.000015309814,0.00002005209,0.00004313958,0.00007568315],"domain_scores_gemma":[0.99978036,0.00005824962,0.00005028596,0.000023640974,0.000067697234,0.00001975673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004746805,0.0005437041,0.00025104362,0.004381203,0.002510397,0.0013323689,0.0005851073,0.00088349066,0.0010861285],"category_scores_gemma":[0.0008064467,0.00019489434,0.00024781437,0.0037282081,0.0018345191,0.0005232919,0.0012203947,0.00030477074,0.0002821812],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004658686,0.00011659378,0.49849412,0.0009039293,0.00011795465,0.062267072,0.26492643,0.0009238593,0.013541069,0.0044334717,0.003481875,0.15032774],"study_design_scores_gemma":[0.000017427072,0.00018393225,0.70195293,0.000629534,0.00008071787,0.012412088,0.25121075,0.00041812056,0.0023875476,0.0005209066,0.030128453,0.000057593395],"about_ca_topic_score_codex":0.040900227,"about_ca_topic_score_gemma":0.16867094,"teacher_disagreement_score":0.040900227,"about_ca_system_score_codex":0.0007308522,"about_ca_system_score_gemma":0.00054614973,"threshold_uncertainty_score":0.08132434},"labels":[],"label_agreement":null},{"id":"W4400850549","doi":"10.1016/j.ndteint.2024.103196","title":"FTnet: An integrated network for fusing multi-modal NDE data of lightning damage in aircraft composite materials","year":2024,"lang":"en","type":"article","venue":"NDT & E International","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"National Research Council Canada","keywords":"Lightning (connector); Lightning strike; Modal; Composite number; Structural engineering; Engineering; Forensic engineering; Materials science; Computer science; Aerospace engineering; Electrical engineering; Composite material; Lightning arrester; Physics","score_opus":0.05922565670830352,"score_gpt":0.3564904052894156,"score_spread":0.29726474858111207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400850549","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19772534,0.0012249777,0.5148899,0.00045305485,0.0005282351,0.0006777817,0.14211339,0.13196726,0.010420146],"genre_scores_gemma":[0.45618019,0.00079371204,0.26556617,0.0002471795,0.00022090154,0.0009494892,0.26650247,0.002917191,0.0066227564],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99948645,0.000060610168,0.000044115954,0.00017137779,0.00017473391,0.00006266853],"domain_scores_gemma":[0.998895,0.00022331132,0.0001550967,0.00030900424,0.00029145737,0.00012616356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016924677,0.0016367307,0.00090049556,0.00553956,0.0005500703,0.0011069609,0.0013837512,0.001031004,0.0052361162],"category_scores_gemma":[0.0032434373,0.00048858544,0.00068281457,0.0033211382,0.00030896484,0.002480656,0.002640108,0.0005551277,0.0031209295],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026312247,0.0010281574,0.075641,0.000909196,0.0013490891,0.000939351,0.00084388786,0.18209356,0.065441795,0.005542308,0.12185164,0.5417287],"study_design_scores_gemma":[0.00013196749,0.00025213536,0.026746552,0.00007758524,0.00021822161,0.00023745904,0.0003419402,0.8962822,0.026293606,0.008539649,0.040728945,0.00014966204],"about_ca_topic_score_codex":0.010550171,"about_ca_topic_score_gemma":0.012287336,"teacher_disagreement_score":0.010550171,"about_ca_system_score_codex":0.00071468466,"about_ca_system_score_gemma":0.00095178676,"threshold_uncertainty_score":0.020977497},"labels":[],"label_agreement":null},{"id":"W4401111103","doi":"10.1109/ims40175.2024.10600214","title":"Reconstruction of Arbitrarily Shaped Sources with Electromagnetic Time-Reversal and Kurtosis","year":2024,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"National Natural Science Foundation of China","keywords":"Kurtosis; Computer science; Mathematics; Statistics","score_opus":0.0038246417917620922,"score_gpt":0.1876764794827834,"score_spread":0.1838518376910213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401111103","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036013238,0.0000878729,0.96274465,0.00008741528,0.000023577953,0.0000159841,0.00004352709,0.00018938417,0.00079437485],"genre_scores_gemma":[0.27900413,0.00034680616,0.71861464,0.00006358016,0.0000360723,0.000034820452,0.00023706761,0.0001550537,0.0015077718],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996848,0.00010061924,0.000021930877,0.000047476162,0.00011589324,0.0000293591],"domain_scores_gemma":[0.99876994,0.0005589278,0.00020423382,0.00019043585,0.00022652763,0.00004986546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010448786,0.0009351078,0.0005383598,0.0010331273,0.000182428,0.0008335786,0.00060479785,0.00065899885,0.0010696244],"category_scores_gemma":[0.0046195597,0.0004272957,0.000691192,0.0009004779,0.0008929465,0.0017806989,0.0010923726,0.0009117163,0.00038449033],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049416104,0.0001118126,0.002442701,0.00034989405,0.00016062717,0.0012259114,0.0004158165,0.44822338,0.2326717,0.077127434,0.0017632453,0.2350134],"study_design_scores_gemma":[0.000028352373,0.00006800641,0.0005925148,0.000022650876,0.000019322251,0.0007708588,0.000081030164,0.93010515,0.048344217,0.017880345,0.0020152652,0.00007231613],"about_ca_topic_score_codex":0.00042156805,"about_ca_topic_score_gemma":0.000511564,"teacher_disagreement_score":0.0010696244,"about_ca_system_score_codex":0.00022298073,"about_ca_system_score_gemma":0.00062212883,"threshold_uncertainty_score":0.0055259466},"labels":[],"label_agreement":null},{"id":"W4401111305","doi":"10.1109/ecti-con60892.2024.10594890","title":"High Performance Deep Learning GPR Feature Detector Model for Potash Mining","year":2024,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Regina","funders":"","keywords":"Potash; Ground-penetrating radar; Computer science; Feature (linguistics); Deep learning; Artificial intelligence; Detector; Feature extraction; Mining engineering; Geology; Materials science; Metallurgy; Radar; Telecommunications","score_opus":0.012344226766371185,"score_gpt":0.2428174007407547,"score_spread":0.23047317397438352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401111305","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16811769,0.001331718,0.8199284,0.0008080552,0.00021107392,0.00009133571,0.00078138,0.0027342648,0.005996141],"genre_scores_gemma":[0.90302557,0.0005113251,0.08600589,0.0002772356,0.000049524762,0.00014201761,0.0012978421,0.000060427916,0.008630196],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999031,0.000009619673,0.000005217447,0.000030373356,0.000025892788,0.000025848405],"domain_scores_gemma":[0.99987364,0.000036880374,0.000013243764,0.000009912029,0.000057156914,0.000009142569],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003179932,0.0006285324,0.0005065005,0.00036447763,0.00018148472,0.00048916374,0.0011708468,0.0007607721,0.002071986],"category_scores_gemma":[0.0006219412,0.00025585588,0.0005430878,0.0003647644,0.00020214236,0.0005276891,0.00051656365,0.0010232779,0.0007155382],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002001303,0.00016500794,0.003047689,0.00007330917,0.00008999819,0.00015879952,0.000026283975,0.79373395,0.009916007,0.0020502012,0.0036871205,0.18685146],"study_design_scores_gemma":[0.0000022672523,0.000012363516,0.00017721839,0.0000021416101,0.000004102183,0.000009571176,0.0000016167788,0.99868923,0.0007051147,0.00021749083,0.000176643,0.0000022408612],"about_ca_topic_score_codex":0.009682599,"about_ca_topic_score_gemma":0.0090817455,"teacher_disagreement_score":0.009682599,"about_ca_system_score_codex":0.0006894532,"about_ca_system_score_gemma":0.0007308327,"threshold_uncertainty_score":0.01925248},"labels":[],"label_agreement":null},{"id":"W4401389220","doi":"10.3390/a17080344","title":"Inversion-Based Deblending in Common Midpoint Domain Using Time Domain High-Resolution Radon","year":2024,"lang":"en","type":"article","venue":"Algorithms","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Midpoint; Inversion (geology); Radon; Time domain; Radon transform; Geology; High resolution; Domain (mathematical analysis); Geodesy; Mathematics; Remote sensing; Geometry; Computer science; Seismology; Mathematical analysis; Physics; Computer vision","score_opus":0.01313775342726043,"score_gpt":0.2557253331229838,"score_spread":0.24258757969572337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401389220","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017209599,0.000047515976,0.9807401,0.00006418479,0.000015990256,0.000025440773,0.00004620985,0.0005362965,0.0013148034],"genre_scores_gemma":[0.11549632,0.00010813227,0.8822479,0.000051984305,0.000018162993,0.000062844236,0.00022239775,0.00018558349,0.0016065439],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996885,0.000051967316,0.000016235233,0.00005524437,0.00015506824,0.00003301225],"domain_scores_gemma":[0.99961877,0.00010614785,0.000049529797,0.00009437997,0.00010853706,0.000022582966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068887224,0.0007453905,0.0004597262,0.0005444496,0.0004023366,0.0008058486,0.00093015743,0.0007546365,0.0016594384],"category_scores_gemma":[0.0019501426,0.00034254792,0.0006738562,0.00059128925,0.00057754485,0.0011187604,0.0016685805,0.0010639163,0.00070936955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024780424,0.00015469322,0.004023018,0.00019406271,0.000089482186,0.0003808544,0.0006840408,0.46673304,0.19532117,0.05318531,0.0026170227,0.27636954],"study_design_scores_gemma":[0.000019937583,0.00007378275,0.00070098654,0.000016794524,0.000015599806,0.00014347724,0.000068452,0.9358494,0.05009533,0.0070056957,0.0059657744,0.00004473281],"about_ca_topic_score_codex":0.0020656127,"about_ca_topic_score_gemma":0.0034728865,"teacher_disagreement_score":0.0020656127,"about_ca_system_score_codex":0.00040961744,"about_ca_system_score_gemma":0.00093941786,"threshold_uncertainty_score":0.005551398},"labels":[],"label_agreement":null},{"id":"W4401436992","doi":"10.1002/arp.1952","title":"Contributions of Multi‐Method Geophysical Survey to Archaeological Research at the Battlefield of Waterloo","year":2024,"lang":"en","type":"article","venue":"Archaeological Prospection","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Bournemouth University","keywords":"Battlefield; Unexploded ordnance; Geophysical survey; Archaeology; Scale (ratio); Magnetic survey; Battle; Computer science; Remote sensing; Geophysics; Data science; Geography; Geology; History; Cartography; Magnetic anomaly","score_opus":0.06726684091632343,"score_gpt":0.3855825017884539,"score_spread":0.3183156608721305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401436992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9324914,0.0012778828,0.046855528,0.00084023,0.000043800286,0.00017402467,0.0013487238,0.00019355548,0.016774843],"genre_scores_gemma":[0.95599264,0.00046388182,0.041118752,0.00009478764,0.000021474158,0.00007656251,0.00025664768,0.00003132419,0.0019439454],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981205,0.0009219486,0.00006042623,0.00020318938,0.0005366316,0.00015727573],"domain_scores_gemma":[0.9974934,0.0009520966,0.0004616976,0.00032391353,0.0006234898,0.0001454839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016955676,0.0003080284,0.00033997043,0.001986056,0.0008159808,0.0016000278,0.0003882948,0.0002589009,0.0017391416],"category_scores_gemma":[0.003502533,0.00025675344,0.00021105625,0.0022762322,0.0008764233,0.00059756794,0.0014837699,0.00026852713,0.00023375529],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002797347,0.00010323046,0.5357979,0.00052975584,0.00023159359,0.000787825,0.008306703,0.00586393,0.039237767,0.0014669173,0.0023065407,0.4050881],"study_design_scores_gemma":[0.00001125432,0.00014718638,0.94463974,0.00021661776,0.00007659553,0.00078382745,0.013044862,0.009542059,0.00572585,0.0008628189,0.024879895,0.000069264446],"about_ca_topic_score_codex":0.07398929,"about_ca_topic_score_gemma":0.30146638,"teacher_disagreement_score":0.07398929,"about_ca_system_score_codex":0.0012582133,"about_ca_system_score_gemma":0.0018490887,"threshold_uncertainty_score":0.1471172},"labels":[],"label_agreement":null},{"id":"W4401479388","doi":"10.56952/arma-2024-0093","title":"Laboratory Procedure to Calibrate Non-Stressed Borehole Size","year":2024,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; Memorial University of Newfoundland","funders":"","keywords":"Borehole; Calibration; Computer science; Geology; Petroleum engineering; Geotechnical engineering; Statistics; Mathematics","score_opus":0.005395788414464166,"score_gpt":0.24223511998459782,"score_spread":0.23683933157013365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401479388","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2648736,0.00039643454,0.71715957,0.00015549953,0.00028932578,0.0049371934,0.002562176,0.0040755076,0.0055507706],"genre_scores_gemma":[0.4560264,0.00031846738,0.53054374,0.00020890032,0.000048083264,0.006927121,0.0016749162,0.0003419215,0.0039103352],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99746263,0.00021837711,0.00022835779,0.0006198156,0.0012905889,0.00018028187],"domain_scores_gemma":[0.9952376,0.00083197677,0.00085178856,0.00119125,0.0016837338,0.00020360682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017443416,0.001206426,0.0004788084,0.0008935772,0.0006767542,0.0005026938,0.001422386,0.00069642375,0.005832178],"category_scores_gemma":[0.003363074,0.00048633004,0.00039569492,0.00061299175,0.00081846025,0.0006087367,0.0009758157,0.00091375917,0.0023304306],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018728695,0.0003093251,0.0028046533,0.00028570462,0.000013917977,0.000103225306,0.00021519788,0.0010496272,0.9672812,0.00067233405,0.0006761329,0.026401384],"study_design_scores_gemma":[0.00006185162,0.0032648179,0.020472037,0.00006370507,0.00005218363,0.00029728503,0.00017865063,0.005788284,0.95470273,0.0006084183,0.0144261,0.000083961684],"about_ca_topic_score_codex":0.0005337849,"about_ca_topic_score_gemma":0.0012690297,"teacher_disagreement_score":0.005832178,"about_ca_system_score_codex":0.00036688708,"about_ca_system_score_gemma":0.00081508665,"threshold_uncertainty_score":0.019510508},"labels":[],"label_agreement":null},{"id":"W4401480531","doi":"10.56952/arma-2024-0358","title":"Exploring Ground Penetrating Radar (GPR) Simulation for Imaging and Determining Electromagnetic Wave Velocity in Volcanogenic Massive Sulfide (VMS) Deposits","year":2024,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Ground-penetrating radar; Geology; Radar; Electromagnetics; Radar imaging; Seismology; Remote sensing; Geophysics; Acoustics; Aerospace engineering; Physics; Engineering; Electronic engineering","score_opus":0.05009384158695233,"score_gpt":0.2739677086922804,"score_spread":0.22387386710532806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401480531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9750167,0.00003071852,0.022840433,0.000036757403,0.00000627894,0.000022528977,0.00013180754,0.00019406762,0.0017206955],"genre_scores_gemma":[0.99099296,0.000032925982,0.008513101,0.000005616793,0.0000012073435,0.000012377424,0.00009430192,0.000012952345,0.00033457906],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99994195,0.000018957428,0.0000043308046,0.000010136385,0.000014485332,0.0000100895895],"domain_scores_gemma":[0.9998124,0.00010798091,0.000021048378,0.000014450026,0.000032202464,0.000011921029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000232415,0.00030118064,0.00019847542,0.00029400087,0.00018859253,0.00040847025,0.00034979975,0.0005501945,0.000621013],"category_scores_gemma":[0.0005092703,0.00014981127,0.00027171127,0.00029416068,0.00018198325,0.0002377071,0.00028416337,0.00018616096,0.00009765979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010432238,0.00007513155,0.01618156,0.00005469801,0.000018514467,0.000258869,0.00010805375,0.9635757,0.01151741,0.0005169829,0.00016549928,0.0074232398],"study_design_scores_gemma":[0.0000060562656,0.000038325834,0.0015030472,0.0000027008432,0.000004116613,0.000023055942,0.000033244374,0.9958645,0.0023221376,0.000080890495,0.000118941694,0.0000029715168],"about_ca_topic_score_codex":0.0043216706,"about_ca_topic_score_gemma":0.0025715982,"teacher_disagreement_score":0.0043216706,"about_ca_system_score_codex":0.00024147164,"about_ca_system_score_gemma":0.00035874808,"threshold_uncertainty_score":0.008593023},"labels":[],"label_agreement":null},{"id":"W4401481642","doi":"10.56952/arma-2024-0054","title":"Proactive Identification of Adverse Geological Structure in a Deep Mine Environment","year":2024,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University; Glencore (Canada)","funders":"","keywords":"Identification (biology); Computer science; Geology; Mining engineering","score_opus":0.00789509335611966,"score_gpt":0.230063543516695,"score_spread":0.22216845016057535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401481642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9827502,0.00013755905,0.014051706,0.00014729543,0.00001806214,0.000087592336,0.000097769735,0.00019122806,0.0025186534],"genre_scores_gemma":[0.9909412,0.000047770805,0.008479857,0.00003643383,0.000004006878,0.000011965365,0.000056340985,0.00000430864,0.00041803732],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995285,0.00008605731,0.000026904838,0.000075439435,0.00018822422,0.00009476087],"domain_scores_gemma":[0.9990706,0.00020692634,0.0003494882,0.00006533669,0.00018157979,0.00012606545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046745967,0.00029119843,0.00025079097,0.0006585273,0.00049094675,0.000817461,0.00053260685,0.0005279872,0.00056514586],"category_scores_gemma":[0.0010377853,0.00020111402,0.00010448358,0.00026094588,0.00033050354,0.0004857393,0.0018864772,0.0003700497,0.00016410892],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043820345,0.00054123113,0.5754238,0.0004631623,0.000078304125,0.0034213809,0.0033350803,0.015351002,0.1561779,0.000835606,0.0013944935,0.2425399],"study_design_scores_gemma":[0.00004828862,0.0036519268,0.8346487,0.00024311987,0.000107395674,0.0032240741,0.010326492,0.07597738,0.054983318,0.0028106584,0.013853684,0.00012487151],"about_ca_topic_score_codex":0.0015400611,"about_ca_topic_score_gemma":0.0057531646,"teacher_disagreement_score":0.0015400611,"about_ca_system_score_codex":0.00025979552,"about_ca_system_score_gemma":0.0006998736,"threshold_uncertainty_score":0.0030621886},"labels":[],"label_agreement":null},{"id":"W4401501012","doi":"10.1186/s43065-024-00102-2","title":"Automated crack identification in structures using acoustic waveforms and deep learning","year":2024,"lang":"en","type":"article","venue":"Journal of Infrastructure Preservation and Resilience","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Education, Libya","keywords":"Waveform; Convolutional neural network; Computer science; Acoustic emission; Process (computing); Artificial neural network; Identification (biology); Deep learning; Feature extraction; Feature (linguistics); Range (aeronautics); Pattern recognition (psychology); Beam (structure); Artificial intelligence; Time domain; Acoustics; Structural engineering; Engineering; Computer vision","score_opus":0.007961803454886516,"score_gpt":0.2748137805299959,"score_spread":0.2668519770751094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401501012","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11256515,0.00021256671,0.8844671,0.00012981679,0.000030315592,0.000040630708,0.00010248457,0.0011396375,0.0013123304],"genre_scores_gemma":[0.7989989,0.00025891262,0.19804664,0.00006135655,0.000028956256,0.000044215805,0.0003657828,0.00006058218,0.0021346426],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999874,0.00001769932,0.000006744866,0.000036743822,0.00004721052,0.000017608001],"domain_scores_gemma":[0.99969256,0.00009482551,0.00006946693,0.00004251988,0.000081472295,0.000019136098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023973646,0.0005829753,0.00029244932,0.00089579396,0.00015259071,0.0004109823,0.0004700421,0.0006883197,0.00083163],"category_scores_gemma":[0.00081910664,0.00032189194,0.00034835326,0.00037615027,0.00026092574,0.00092417415,0.0006388586,0.00065331045,0.00039612124],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015985843,0.00016355592,0.007362477,0.00011434977,0.000052868418,0.00019756306,0.0001089186,0.38626462,0.08649331,0.0019690462,0.0013056123,0.5158078],"study_design_scores_gemma":[0.0000021609894,0.00001533518,0.0011274106,0.000004718865,0.0000024942838,0.000020275013,0.000010090075,0.9939289,0.0040135626,0.0006883174,0.00018309045,0.0000035930914],"about_ca_topic_score_codex":0.0019457892,"about_ca_topic_score_gemma":0.0036532397,"teacher_disagreement_score":0.0019457892,"about_ca_system_score_codex":0.00029218764,"about_ca_system_score_gemma":0.00041704593,"threshold_uncertainty_score":0.0038689375},"labels":[],"label_agreement":null},{"id":"W4401669520","doi":"10.1111/1365-2478.13589","title":"Inferring fault structures and overburden depth in 3D from geophysical data using machine learning algorithms – A case study on the Fenelon gold deposit, Quebec, Canada","year":2024,"lang":"en","type":"article","venue":"Geophysical Prospecting","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Wallbridge Mining (Canada)","funders":"","keywords":"Overburden; Geology; Algorithm; Economic geology; Hydrogeology; Regional geology; Seismology; Fault (geology); Geophysics; Environmental geology; Gemology; Precambrian; Igneous petrology; Engineering geology; Computer science; Metamorphic petrology; Mining engineering; Geochemistry; Tectonics; Geotechnical engineering; Volcanism","score_opus":0.03227052959532141,"score_gpt":0.2871161668165618,"score_spread":0.25484563722124043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401669520","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9826042,0.00021349156,0.010571517,0.0003533303,0.000009716875,0.00008094729,0.0030026503,0.0004823097,0.002681869],"genre_scores_gemma":[0.98593,0.0000671947,0.01133742,0.000033530563,0.0000025753745,0.000013585766,0.0013526711,0.000022670525,0.001240454],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9997985,0.000025530828,0.000010096707,0.000052138643,0.00006655908,0.00004720074],"domain_scores_gemma":[0.99946886,0.00016487931,0.000041537412,0.000039600327,0.00023878935,0.000046280038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033175555,0.00072346936,0.00027557218,0.0010332749,0.0009982483,0.0010538653,0.0011400741,0.00060076284,0.0012711599],"category_scores_gemma":[0.0010317571,0.00024386933,0.00040830442,0.0014849055,0.0006783647,0.00031123182,0.00032118874,0.00039277182,0.00025110584],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023469183,0.00026008085,0.31123438,0.00014742097,0.000145695,0.0013981925,0.00064989744,0.56463516,0.009896135,0.001108934,0.0046546934,0.105634704],"study_design_scores_gemma":[0.000030681957,0.000020912545,0.101210535,0.000026603233,0.000021033153,0.00005271325,0.0006633949,0.8929766,0.0027153846,0.00030743555,0.0019371255,0.00003762919],"about_ca_topic_score_codex":0.9831949,"about_ca_topic_score_gemma":0.99125844,"teacher_disagreement_score":0.016805112,"about_ca_system_score_codex":0.010777377,"about_ca_system_score_gemma":0.008403492,"threshold_uncertainty_score":0.07819563},"labels":[],"label_agreement":null},{"id":"W4401875979","doi":"10.1190/gem2024-036.1","title":"Background EM noise characterization in deep underground mining tunnels","year":2024,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec","funders":"","keywords":"Noise (video); Characterization (materials science); Computer science; Mining engineering; Geology; Artificial intelligence; Materials science","score_opus":0.02117930285765049,"score_gpt":0.266181091918531,"score_spread":0.24500178906088052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401875979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7185055,0.0019545022,0.2695329,0.0002275946,0.00012324886,0.000115533854,0.0010541979,0.0009867618,0.0074996823],"genre_scores_gemma":[0.95861775,0.0007861469,0.03586751,0.00011414021,0.000072853676,0.00007417696,0.0013238658,0.0000969211,0.003046627],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99954396,0.0000620561,0.00002510365,0.00009915666,0.00021377232,0.00005587827],"domain_scores_gemma":[0.9992022,0.00016839607,0.00013713044,0.00006850773,0.00033562136,0.000088185494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004915801,0.00040280476,0.00031319394,0.0010435754,0.00031160086,0.0005749744,0.00044747235,0.0005454011,0.0011892029],"category_scores_gemma":[0.0011369577,0.00013710823,0.00019169561,0.00076370954,0.0004098563,0.0006306247,0.0005702002,0.0002773077,0.00061275985],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010709447,0.00029200286,0.10851237,0.0014929749,0.00007794317,0.0021054721,0.0012515204,0.08265975,0.50062686,0.003477434,0.004780797,0.29365188],"study_design_scores_gemma":[0.00009683093,0.0018654785,0.28016165,0.0008239622,0.00019503834,0.0104363905,0.0027715266,0.35293034,0.2668343,0.011610961,0.07190719,0.00036622077],"about_ca_topic_score_codex":0.0009216369,"about_ca_topic_score_gemma":0.0010145467,"teacher_disagreement_score":0.0011892029,"about_ca_system_score_codex":0.00018531743,"about_ca_system_score_gemma":0.00025587124,"threshold_uncertainty_score":0.0039782524},"labels":[],"label_agreement":null},{"id":"W4401984361","doi":"10.7451/cbe.2023.65.1.17","title":"Advances in Ground Penetrating Radar application for estimating soil hydraulic properties: A mini review.","year":2023,"lang":"en","type":"article","venue":"Canadian Biosystems Engineering","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ground-penetrating radar; Environmental science; Vadose zone; Soil water; Estimation; Groundwater; Borehole; Soil science; Radar; Geology; Hydrology (agriculture); Computer science; Geotechnical engineering; Engineering; Systems engineering","score_opus":0.015633333986329254,"score_gpt":0.240192770094462,"score_spread":0.22455943610813273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401984361","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004106798,0.9969946,0.0012482206,0.00023229767,0.00022629066,0.000010295192,0.000046293324,0.000018546429,0.0008126859],"genre_scores_gemma":[0.002054779,0.99505496,0.0017178411,0.00019634634,0.00028431538,0.000015083432,0.00009883107,0.000008120513,0.00056972774],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999432,0.00009438349,0.000090209374,0.00013208325,0.00022047965,0.000030764397],"domain_scores_gemma":[0.9977108,0.0012648314,0.00023549495,0.000049198592,0.00068320695,0.000056442947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021529621,0.0010124091,0.0013382961,0.0029769624,0.00019760284,0.0012971405,0.0011781277,0.0012798865,0.0030593406],"category_scores_gemma":[0.00241834,0.0005489947,0.00084966695,0.003498006,0.00046619194,0.0019874242,0.0005903049,0.0012001181,0.0022813298],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069844566,0.00006447565,0.0010186777,0.018526033,0.00015359,0.00019793586,0.000082882856,0.0006156233,0.0048770555,0.0010532049,0.01352062,0.9598201],"study_design_scores_gemma":[0.000019765937,0.00040974809,0.0079654725,0.007249088,0.00073010917,0.003584432,0.00038762772,0.0013540477,0.007413709,0.0021617282,0.9685886,0.00013571406],"about_ca_topic_score_codex":0.0015942135,"about_ca_topic_score_gemma":0.001674601,"teacher_disagreement_score":0.0030593406,"about_ca_system_score_codex":0.00044456508,"about_ca_system_score_gemma":0.0010381172,"threshold_uncertainty_score":0.0113860965},"labels":[],"label_agreement":null},{"id":"W4402041928","doi":"10.36227/techrxiv.172503669.96378285/v1","title":"A Time-Reversal Approach to Imaging Objects with a Metallic Enclosure","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"National Natural Science Foundation of China","keywords":"Enclosure; Computer science; Telecommunications","score_opus":0.009336220723846364,"score_gpt":0.2308410774824926,"score_spread":0.22150485675864623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402041928","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0042857695,0.00016859436,0.99228996,0.000096122836,0.00004457824,0.000014452326,0.000010799607,0.000096225194,0.0029934212],"genre_scores_gemma":[0.123554274,0.00090695574,0.8632847,0.00017245261,0.00009349102,0.00007917971,0.00006588475,0.00009026245,0.0117529025],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999229,0.000016157814,0.0000046613472,0.000020605623,0.000030393194,0.0000052696914],"domain_scores_gemma":[0.9999027,0.000027722474,0.000018032686,0.000023732695,0.000018644003,0.000009214481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018878431,0.00037141217,0.00020467369,0.00031119087,0.00014891698,0.00043568976,0.0006434721,0.0005723774,0.002359957],"category_scores_gemma":[0.00039445472,0.00014891244,0.00036457286,0.00018145615,0.00057571084,0.0006332914,0.0005971014,0.00067427376,0.0005907301],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011721315,0.00012129381,0.00046635314,0.0004158836,0.00004845438,0.0007467897,0.0003319467,0.08947816,0.33082312,0.33213282,0.0027015724,0.24261646],"study_design_scores_gemma":[0.00003110981,0.00028087487,0.00041331703,0.00003184233,0.000025378207,0.0024703224,0.00010209156,0.8414178,0.067968786,0.05719865,0.030014323,0.000045487235],"about_ca_topic_score_codex":0.00018665758,"about_ca_topic_score_gemma":0.00023582442,"teacher_disagreement_score":0.002359957,"about_ca_system_score_codex":0.000118284086,"about_ca_system_score_gemma":0.00020818955,"threshold_uncertainty_score":0.007894814},"labels":[],"label_agreement":null},{"id":"W4402052408","doi":"10.1590/2179-10742024v23i3280372","title":"Analysis of Electromagnetic Problems in the Presence of Non-uniform Movements","year":2024,"lang":"en","type":"article","venue":"Journal of Microwaves Optoelectronics and Electromagnetic Applications","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Nonlinear system; Physics; Acoustics; Quantum mechanics","score_opus":0.005354820989820299,"score_gpt":0.2443477013469381,"score_spread":0.2389928803571178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402052408","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32305568,0.0019802237,0.65484077,0.0007563531,0.00020900513,0.00010618242,0.000087827306,0.00018515468,0.018778823],"genre_scores_gemma":[0.96230453,0.00075803,0.030487409,0.00010726121,0.00015641295,0.00007986598,0.000086863685,0.000047166923,0.0059725344],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999413,0.00023301331,0.000023569133,0.00008595387,0.00017833935,0.00006608746],"domain_scores_gemma":[0.998331,0.0010934033,0.00027440605,0.00008209069,0.00015915745,0.000059928276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008990137,0.00077284337,0.0008932465,0.0008069705,0.00047973965,0.0011165465,0.0006757736,0.0015179478,0.0011973669],"category_scores_gemma":[0.0032767898,0.00028786337,0.0005830114,0.0006112573,0.0016752238,0.0009201711,0.0011689817,0.00064222474,0.0001812267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013651815,0.000104243256,0.0024133697,0.00023422344,0.0000816302,0.0012304905,0.00019946555,0.9394846,0.011179323,0.032933135,0.00073613727,0.011266918],"study_design_scores_gemma":[0.000011454505,0.000035133005,0.0011195058,0.000010566623,0.000008547471,0.00013334991,0.000057290767,0.992965,0.0007696559,0.0044037215,0.00047600098,0.000009796267],"about_ca_topic_score_codex":0.0011823897,"about_ca_topic_score_gemma":0.00055881514,"teacher_disagreement_score":0.0015179478,"about_ca_system_score_codex":0.00035793587,"about_ca_system_score_gemma":0.00038049545,"threshold_uncertainty_score":0.0047544837},"labels":[],"label_agreement":null},{"id":"W4402196718","doi":"10.1190/tle43090623.1","title":"The minimum-frequency property of complex trace analysis","year":2024,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BP (Canada)","funders":"","keywords":"TRACE (psycholinguistics); Property (philosophy); Mathematics; Environmental science; Computer science; Epistemology; Philosophy","score_opus":0.041060550158717006,"score_gpt":0.2981560233130228,"score_spread":0.2570954731543058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402196718","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047591895,0.00036061666,0.9430092,0.00033295323,0.0001143817,0.000020781168,0.00018114124,0.0003280895,0.0080609815],"genre_scores_gemma":[0.8309067,0.00049085025,0.16288306,0.00015065042,0.00037145894,0.000053853724,0.00035831562,0.00030783546,0.0044771964],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99926883,0.00011503508,0.00005154981,0.00016240038,0.00033910086,0.00006300746],"domain_scores_gemma":[0.99656576,0.0014875267,0.00045247964,0.0005225416,0.00082299975,0.00014864851],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009243085,0.00039222644,0.0003777641,0.0014665324,0.00040792042,0.0015234605,0.00057266065,0.00056812225,0.0037788602],"category_scores_gemma":[0.0095567545,0.00017340685,0.0002883886,0.0012290792,0.0016038518,0.0019642238,0.00084006204,0.0009244569,0.0009341607],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030663217,0.00005419794,0.0056778262,0.00027720802,0.00005496571,0.00071141066,0.00056726445,0.023260457,0.06402262,0.62667555,0.00454989,0.273842],"study_design_scores_gemma":[0.000043847103,0.00023822815,0.008830833,0.00010540546,0.000042527507,0.0022830493,0.0002988931,0.33887446,0.02723025,0.5989847,0.022985209,0.00008261669],"about_ca_topic_score_codex":0.0005971185,"about_ca_topic_score_gemma":0.000307768,"teacher_disagreement_score":0.0037788602,"about_ca_system_score_codex":0.00027759763,"about_ca_system_score_gemma":0.00034575388,"threshold_uncertainty_score":0.012641609},"labels":[],"label_agreement":null},{"id":"W4402262513","doi":"10.1109/igarss53475.2024.10642951","title":"Assessment and Calibration of RCM Compact-Hybrid Modes","year":2024,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Association of Friendship Centres; Canadian Space Agency; Natural Resources Canada","funders":"","keywords":"Calibration; Computer science; Mathematics; Statistics","score_opus":0.01993895754892173,"score_gpt":0.3118912894438303,"score_spread":0.2919523318949086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402262513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8884535,0.0007165534,0.09262027,0.0001483988,0.000041296906,0.00021062374,0.00085831934,0.0014456527,0.015505368],"genre_scores_gemma":[0.9773233,0.00007584098,0.021251531,0.000036198326,0.0000072473254,0.000047446676,0.00053958007,0.000098207965,0.0006206473],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989139,0.00015512684,0.00003314772,0.00025246874,0.0005667857,0.00007862098],"domain_scores_gemma":[0.9986488,0.00027832697,0.0002281482,0.00039364275,0.00038242195,0.000068777445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019100906,0.00066719844,0.00030622468,0.0012162339,0.00033681747,0.00091005396,0.0011253715,0.0007319814,0.0017381352],"category_scores_gemma":[0.0030106283,0.00022510019,0.00028401843,0.0010313916,0.0005256863,0.001255537,0.0012201378,0.00042824826,0.000783755],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021566341,0.0003278748,0.15824685,0.0005466206,0.00021261883,0.00048130425,0.00096273294,0.2206532,0.14813864,0.009181635,0.003921291,0.4551705],"study_design_scores_gemma":[0.00017438753,0.001501121,0.1520393,0.00012946989,0.0001402417,0.0008944377,0.0005685929,0.7007704,0.12230118,0.0024978977,0.018836811,0.0001463206],"about_ca_topic_score_codex":0.0020582713,"about_ca_topic_score_gemma":0.0021749546,"teacher_disagreement_score":0.0020582713,"about_ca_system_score_codex":0.0010538403,"about_ca_system_score_gemma":0.00031697706,"threshold_uncertainty_score":0.010101616},"labels":[],"label_agreement":null},{"id":"W4402285151","doi":"10.1111/1556-4029.15622","title":"Comparison of GPR signals over simulated clandestine graves with domestic pigs (<i>Sus Scrofa domesticus</i>) and human remains","year":2024,"lang":"en","type":"article","venue":"Journal of Forensic Sciences","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Windsor; Université du Québec à Trois-Rivières; University of Toronto","funders":"H2020 European Research Council; Natural Sciences and Engineering Research Council of Canada; Fondation de l’UQTR; Université du Québec à Trois-Rivières; University of Toronto; University of Wollongong","keywords":"Ground-penetrating radar; Reflection (computer programming); Amplitude; Geology; Class (philosophy); Radar; Biology; Seismology; Computer science; Physics; Artificial intelligence; Optics; Telecommunications","score_opus":0.03140490727643615,"score_gpt":0.3608558406104099,"score_spread":0.32945093333397374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402285151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991905,0.000008284238,0.00048646287,0.000003905152,0.0000014313558,0.000002795889,0.000048987302,0.000008530709,0.0002491755],"genre_scores_gemma":[0.9988707,0.000014688558,0.00071966153,0.000007147212,8.865204e-7,0.0000023194,0.00018997487,0.0000024815583,0.00019215432],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999908,0.000015892228,0.0000064025194,0.000026569563,0.000022542114,0.000020614514],"domain_scores_gemma":[0.9998876,0.000031290674,0.000023676364,0.000012801877,0.000028449349,0.000016137841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014328501,0.00018312842,0.000112325004,0.00038505925,0.00012376778,0.00029076482,0.0001593097,0.0003051775,0.00047928328],"category_scores_gemma":[0.00032054327,0.00008516699,0.00014580236,0.00025136766,0.00018941701,0.00015007376,0.00020582795,0.00012188321,0.00012613],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021763227,0.00029856537,0.37319833,0.00012548559,0.00020361175,0.0023639556,0.0012699657,0.034349486,0.53678364,0.00028439044,0.0005267181,0.048419606],"study_design_scores_gemma":[0.000028470482,0.0011400826,0.9022423,0.000023916453,0.00011479056,0.0015728638,0.00176992,0.048571926,0.04332204,0.00008977412,0.0010908613,0.000033101005],"about_ca_topic_score_codex":0.00365058,"about_ca_topic_score_gemma":0.005958399,"teacher_disagreement_score":0.00365058,"about_ca_system_score_codex":0.00016000085,"about_ca_system_score_gemma":0.00009380715,"threshold_uncertainty_score":0.0072586536},"labels":[],"label_agreement":null},{"id":"W4402501665","doi":"10.11159/icceia24.129","title":"Use of LandInfra Standard for GPR Data Digitization: Towards Sustainable Road Transport Infrastructure","year":2024,"lang":"en","type":"article","venue":"Proceedings of the World Congress on New Technologies","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"European Social Fund; Agencia Estatal de Investigación; Xunta de Galicia; European Commission","keywords":"Digitization; Transport infrastructure; Ground-penetrating radar; Computer science; Transport engineering; Business; Telecommunications; Engineering; Radar","score_opus":0.02777664900608962,"score_gpt":0.2781803098380278,"score_spread":0.25040366083193816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402501665","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016377935,0.00034656614,0.9445814,0.0011151278,0.00023427754,0.000553397,0.0045226365,0.012385089,0.019883614],"genre_scores_gemma":[0.1279141,0.0009174761,0.8331046,0.00060927076,0.00011832866,0.0013694945,0.024872752,0.0022236032,0.008870338],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9935422,0.0016653382,0.0012372191,0.00082897523,0.0023481026,0.00037824508],"domain_scores_gemma":[0.98688287,0.0013802778,0.0009142946,0.0058420645,0.004687628,0.00029286696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00753917,0.0007945411,0.00054861885,0.003566628,0.0007739843,0.005459754,0.0024456799,0.0017608084,0.0026919446],"category_scores_gemma":[0.010537122,0.00052421424,0.0008768719,0.0035152228,0.0012540013,0.0047112624,0.0025125185,0.0021147432,0.0048223636],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037893277,0.00042330127,0.011846608,0.0009986708,0.0001144609,0.00075730303,0.0030589362,0.020172324,0.05138021,0.34575018,0.06378609,0.50133294],"study_design_scores_gemma":[0.00008072133,0.00033873157,0.010185539,0.00084216293,0.00012616668,0.0018383642,0.0011241048,0.064776406,0.04903764,0.05936636,0.81199974,0.00028393025],"about_ca_topic_score_codex":0.0049170945,"about_ca_topic_score_gemma":0.003763831,"teacher_disagreement_score":0.00753917,"about_ca_system_score_codex":0.0019183736,"about_ca_system_score_gemma":0.003257863,"threshold_uncertainty_score":0.039871395},"labels":[],"label_agreement":null},{"id":"W4402501805","doi":"10.11159/icceia24.127","title":"New Insights Into Road Cavity Detection From GPR Data","year":2024,"lang":"en","type":"article","venue":"Proceedings of the World Congress on New Technologies","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"European Social Fund; Agencia Estatal de Investigación; European Commission","keywords":"Ground-penetrating radar; Geology; Remote sensing; Computer science; Radar; Telecommunications","score_opus":0.02175577311173918,"score_gpt":0.26912458705787023,"score_spread":0.24736881394613106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402501805","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08626973,0.008333125,0.8908118,0.00325161,0.0003436362,0.000090157875,0.0011862054,0.0010386271,0.008675117],"genre_scores_gemma":[0.6118115,0.017700406,0.36153585,0.00080133346,0.00096551474,0.000118434655,0.002627623,0.00029140577,0.0041479194],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99924695,0.00021125184,0.000052010142,0.00015663191,0.00025221283,0.000080910206],"domain_scores_gemma":[0.9967976,0.0018442126,0.00020260218,0.0004848119,0.00060938904,0.000061477534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001651371,0.00067285856,0.00052629696,0.0017189933,0.00020632135,0.0018145813,0.0007097901,0.0010698788,0.0014433758],"category_scores_gemma":[0.0069373045,0.0003737543,0.00040337275,0.0021257873,0.00094598945,0.0034230978,0.001008173,0.0015847816,0.0008739816],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030889153,0.00015342204,0.0108697275,0.0012824596,0.00008631307,0.0011378184,0.00087949954,0.056557674,0.08916207,0.04691979,0.011834142,0.78080815],"study_design_scores_gemma":[0.000033218803,0.00028089792,0.017847668,0.00040308092,0.00010314566,0.0025046845,0.0012734391,0.78726125,0.04042975,0.08679915,0.06292042,0.00014329332],"about_ca_topic_score_codex":0.0012115621,"about_ca_topic_score_gemma":0.0016532541,"teacher_disagreement_score":0.0018145813,"about_ca_system_score_codex":0.0003004585,"about_ca_system_score_gemma":0.0005085839,"threshold_uncertainty_score":0.008733392},"labels":[],"label_agreement":null},{"id":"W4402501839","doi":"10.11159/icceia24.130","title":"Corrosion Assessment of Reinforced Concrete Structures using Ground-Penetrating Radar","year":2024,"lang":"en","type":"article","venue":"Proceedings of the World Congress on New Technologies","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"European Social Fund; Agencia Estatal de Investigación; Xunta de Galicia; Banco Bilbao Vizcaya Argentaria; Ministerio de Ciencia e Innovación; Fundación BBVA","keywords":"Ground-penetrating radar; Corrosion; Reinforced concrete; Radar; Materials science; Geotechnical engineering; Geology; Engineering; Composite material; Aerospace engineering","score_opus":0.020090898336372353,"score_gpt":0.29302323731464536,"score_spread":0.272932338978273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402501839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9630466,0.00050162594,0.033623446,0.000032651213,0.000013839125,0.000040999945,0.00009654999,0.000200442,0.0024437353],"genre_scores_gemma":[0.99109757,0.00024277985,0.0080190515,0.000010110407,0.000004268488,0.000008158715,0.00008257003,0.000009057985,0.0005264798],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999471,0.00010379826,0.000019637551,0.00008333826,0.00025666587,0.00006555552],"domain_scores_gemma":[0.9996902,0.00007034355,0.00006720298,0.00002843432,0.00012506651,0.000018817469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048106036,0.0005705908,0.00029189666,0.0010974841,0.00011181472,0.00049330964,0.00031129265,0.00071038597,0.00032821388],"category_scores_gemma":[0.0006416319,0.00023444141,0.0002436137,0.00038966382,0.00025407912,0.00035170218,0.00044656728,0.00019237821,0.0002996795],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034761537,0.00013609776,0.053356957,0.0003277206,0.00010481875,0.0010001699,0.00049522857,0.09150959,0.72051877,0.00057978596,0.00046510756,0.13115811],"study_design_scores_gemma":[0.000044814205,0.0017269937,0.3332732,0.00011640227,0.0002035904,0.0015911777,0.0012207436,0.4109196,0.24693683,0.00067752536,0.0031804757,0.00010863633],"about_ca_topic_score_codex":0.0011810085,"about_ca_topic_score_gemma":0.001578686,"teacher_disagreement_score":0.0011810085,"about_ca_system_score_codex":0.00021405729,"about_ca_system_score_gemma":0.00012979769,"threshold_uncertainty_score":0.002544105},"labels":[],"label_agreement":null},{"id":"W4402573741","doi":"10.1016/j.geoderma.2024.117028","title":"Integrated ground-penetrating radar and electromagnetic induction offer a non-destructive approach to predict soil bulk density in boreal podzolic soil","year":2024,"lang":"en","type":"article","venue":"Geoderma","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Department of Industry, Energy and Technology; Newfoundland and Labrador; Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland","keywords":"Ground-penetrating radar; Radar; Boreal; Taiga; Geology; Soil science; Electromagnetic induction; Bulk density; Environmental science; Soil water; Engineering; Geography","score_opus":0.009562035259435931,"score_gpt":0.22243877330806316,"score_spread":0.21287673804862722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402573741","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99507207,0.00017377546,0.004001653,0.000009757282,0.0000029672897,0.000015669202,0.00016731264,0.000057820813,0.0004988765],"genre_scores_gemma":[0.9963696,0.00011001449,0.0030887877,0.000005850026,0.0000021594872,0.0000065810823,0.0001895695,0.000003602722,0.00022385475],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998698,0.000014559502,0.000010127238,0.000041279647,0.000045897094,0.000018271096],"domain_scores_gemma":[0.9997522,0.000057192883,0.00008906151,0.000013151716,0.0000687031,0.000019774212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002760455,0.00036910232,0.00028379378,0.0005608305,0.00012983668,0.00042608418,0.00036427184,0.0002083099,0.00026753664],"category_scores_gemma":[0.00032521936,0.00020904468,0.0002029974,0.00054679456,0.00017411963,0.00046412434,0.00020473945,0.00016837429,0.0000871446],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050678325,0.00020769188,0.6441516,0.0002732504,0.00013224191,0.00046535084,0.0002465473,0.012697722,0.24029228,0.00014231662,0.00020041018,0.10068375],"study_design_scores_gemma":[0.000023635443,0.00030831882,0.9487182,0.000017067636,0.000056025365,0.00023426778,0.00023224833,0.037827983,0.011980539,0.000105954896,0.0004736073,0.00002199952],"about_ca_topic_score_codex":0.009758224,"about_ca_topic_score_gemma":0.02694541,"teacher_disagreement_score":0.009758224,"about_ca_system_score_codex":0.00032422683,"about_ca_system_score_gemma":0.00017836907,"threshold_uncertainty_score":0.019402862},"labels":[],"label_agreement":null},{"id":"W4402634349","doi":"10.1139/cjss-2024-0027","title":"Integrated ground-penetrating radar and electromagnetic induction techniques for characterizing boreal podzolic soil in western Newfoundland","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Soil Science","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ground-penetrating radar; Boreal; Geology; Radar; Remote sensing; Taiga; Environmental science; Geography; Engineering; Paleontology; Forestry","score_opus":0.01449363915124252,"score_gpt":0.25336585808160794,"score_spread":0.23887221893036542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402634349","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998632,0.00010969279,0.0006097634,0.000012291929,0.0000012990909,0.000016175643,0.00013448624,0.000011723493,0.00047252217],"genre_scores_gemma":[0.9978668,0.00011245281,0.0015347094,0.00001070503,9.944673e-7,0.00000722717,0.00016363614,0.0000022277254,0.000301371],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998591,0.000015376678,0.00000966119,0.000038176695,0.00003794884,0.00003976849],"domain_scores_gemma":[0.99984,0.000021047153,0.00004210866,0.000011784144,0.000058816742,0.00002629492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027912736,0.00020409959,0.00014469313,0.00069905363,0.00031990826,0.00052882306,0.00028687785,0.00015735837,0.00019659424],"category_scores_gemma":[0.0003551219,0.00013448976,0.00009218806,0.00068468176,0.00033134338,0.0003071416,0.00036281568,0.00017285827,0.000061426894],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028774107,0.0001338287,0.8193114,0.00012561843,0.000060279504,0.0006756586,0.0013661687,0.0022557052,0.118124284,0.00011872326,0.00026870763,0.057271965],"study_design_scores_gemma":[0.0000055077458,0.00004259676,0.9967313,0.00000791284,0.000012008909,0.000087056236,0.0005739135,0.0011537257,0.0010708533,0.0000075795956,0.00030349323,0.000004101363],"about_ca_topic_score_codex":0.44897196,"about_ca_topic_score_gemma":0.77509063,"teacher_disagreement_score":0.551028,"about_ca_system_score_codex":0.0015902672,"about_ca_system_score_gemma":0.001142929,"threshold_uncertainty_score":0.8927173},"labels":[],"label_agreement":null},{"id":"W4402677587","doi":"10.3390/rs16183498","title":"Comparison of Time-Lapse Ground-Penetrating Radar and Electrical Resistivity Tomography Surveys for Detecting Pig (Sus spp.) Cadaver Graves in an Australian Environment","year":2024,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Australian Research Council; Flinders University; Newcastle University","keywords":"Ground-penetrating radar; Electrical resistivity tomography; Geology; Remote sensing; Hydrology (agriculture); Radar; Soil science; Physical geography; Electrical resistivity and conductivity; Geotechnical engineering; Geography; Engineering","score_opus":0.029643144210214314,"score_gpt":0.3003183612996831,"score_spread":0.2706752170894688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402677587","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981231,0.000068505055,0.0010087633,0.000020219199,0.000004033583,0.000023439252,0.000026804384,0.0000072642865,0.00071784505],"genre_scores_gemma":[0.99389654,0.0002408453,0.004739946,0.000044299224,0.000004422415,0.000021629017,0.00009389725,0.000005925277,0.00095258397],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992569,0.00017417825,0.00004575,0.00016011506,0.00029069837,0.00007232937],"domain_scores_gemma":[0.99851197,0.0003544807,0.00037252015,0.000099091514,0.0005230416,0.0001388355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013761413,0.00030851684,0.00023955572,0.0010933164,0.0003796541,0.000875731,0.00056140276,0.000571706,0.00043632754],"category_scores_gemma":[0.0033381046,0.0003760522,0.0002255335,0.000551886,0.0007621835,0.000723689,0.0006718023,0.00035063858,0.00018637587],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013682423,0.0005940283,0.60164505,0.00042742243,0.00019706288,0.002716375,0.01030775,0.0039785462,0.26752806,0.000531198,0.00046426142,0.110241994],"study_design_scores_gemma":[0.00001361874,0.0018371366,0.97917765,0.00003690677,0.00009106549,0.0012378251,0.0039319526,0.004526289,0.007956543,0.000074326126,0.0010924676,0.000024358875],"about_ca_topic_score_codex":0.015142749,"about_ca_topic_score_gemma":0.05015464,"teacher_disagreement_score":0.015142749,"about_ca_system_score_codex":0.0005663794,"about_ca_system_score_gemma":0.0004901352,"threshold_uncertainty_score":0.030109167},"labels":[],"label_agreement":null},{"id":"W4402786666","doi":"10.1016/j.anucene.2024.110933","title":"Coupling of MELCOR with surrogate model for quench estimation of conical debris beds","year":2024,"lang":"en","type":"article","venue":"Annals of Nuclear Energy","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Strålsäkerhetsmyndigheten; Alberta Prion Research Institute; Eidgenössisches Nuklearsicherheitsinspektorat; Swiss Society for Microbiology; Universität Stuttgart; China Scholarship Council","keywords":"Conical surface; Debris; Coupling (piping); Mechanics; Nuclear engineering; Environmental science; Materials science; Physics; Meteorology","score_opus":0.048175786326208905,"score_gpt":0.3129271226158961,"score_spread":0.2647513362896872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402786666","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.171759,0.00021742172,0.8129015,0.0002634647,0.00015547428,0.00023494012,0.00053176127,0.0027047014,0.011231687],"genre_scores_gemma":[0.94204044,0.00009804679,0.054558337,0.00008656609,0.000026301048,0.00021014157,0.0004527869,0.0002159111,0.0023114637],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997485,0.00006090161,0.000015642738,0.00004162733,0.00008920544,0.000044173456],"domain_scores_gemma":[0.9992119,0.00028241545,0.00009762167,0.0000988806,0.00024499503,0.00006403254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005052882,0.00088857807,0.0007313727,0.0003351734,0.000311797,0.0006825419,0.0010902398,0.00081370346,0.0023981303],"category_scores_gemma":[0.0016123778,0.00036649994,0.0008216673,0.00023340742,0.0003339155,0.0005452806,0.00091273984,0.0009289865,0.00035653682],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000787423,0.000034704306,0.0016621362,0.00006277321,0.000017960898,0.00008617359,0.000022437767,0.9857567,0.0035797965,0.0013188156,0.0003940122,0.006985722],"study_design_scores_gemma":[0.000003150966,0.000016136168,0.00009732478,0.000002059994,0.0000022360662,0.000006697316,0.0000027761707,0.998831,0.00067511766,0.00014525004,0.0002153201,0.000002982808],"about_ca_topic_score_codex":0.0066068247,"about_ca_topic_score_gemma":0.0053309207,"teacher_disagreement_score":0.0066068247,"about_ca_system_score_codex":0.0005127706,"about_ca_system_score_gemma":0.0012990359,"threshold_uncertainty_score":0.0131367445},"labels":[],"label_agreement":null},{"id":"W4403141675","doi":"10.3997/2214-4609.202438025","title":"Vector Reflectivity Inversion with Full-Wavefield LSRTM and Sparse Regularization","year":2024,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Reflectivity; Inversion (geology); Regularization (linguistics); Computer science; Sparse matrix; Geology; Algorithm; Optics; Artificial intelligence; Physics; Seismology","score_opus":0.013703089356795236,"score_gpt":0.23662234965229514,"score_spread":0.2229192602954999,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403141675","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017638624,0.000031290398,0.9807076,0.00006927706,0.000013713843,0.000016069172,0.000046414974,0.0005344611,0.00094260747],"genre_scores_gemma":[0.25940338,0.00007271648,0.7376236,0.000057838228,0.000018424642,0.00005964627,0.00025978213,0.00016612522,0.0023385633],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997795,0.000060538794,0.000013587437,0.000033284065,0.0000936685,0.000019433577],"domain_scores_gemma":[0.9997402,0.00006452911,0.00003768806,0.000064426175,0.000080064514,0.000013131143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053702854,0.0004460064,0.0003226813,0.00033851716,0.0001676259,0.0004812271,0.00064003177,0.00047351298,0.0015339289],"category_scores_gemma":[0.0010258929,0.0002857061,0.00042449476,0.00038883896,0.00029317653,0.00087404746,0.00073703553,0.00064373383,0.00054604013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012505933,0.000121366196,0.0015136085,0.0001350107,0.000056460714,0.000120665776,0.00011602677,0.68309796,0.09934924,0.020976046,0.0021075166,0.1922811],"study_design_scores_gemma":[0.0000039168854,0.00000806886,0.000092984694,0.0000019115241,0.0000018785769,0.00001699376,0.000004017304,0.99523985,0.0033527606,0.00071239227,0.0005599999,0.000005248755],"about_ca_topic_score_codex":0.002694114,"about_ca_topic_score_gemma":0.0028148498,"teacher_disagreement_score":0.002694114,"about_ca_system_score_codex":0.00024661512,"about_ca_system_score_gemma":0.0008345069,"threshold_uncertainty_score":0.005356908},"labels":[],"label_agreement":null},{"id":"W4403309332","doi":"10.1016/j.forsciint.2024.112248","title":"Electrical resistivity tomography of simulated graves with buried human and pig remains","year":2024,"lang":"en","type":"article","venue":"Forensic Science International","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada; Université du Québec à Trois-Rivières; University of Toronto","funders":"","keywords":"Electrical resistivity tomography; Electrical resistivity and conductivity; Tomography; Computed tomography; Medicine; Radiology; Engineering; Electrical engineering","score_opus":0.011260879268545684,"score_gpt":0.2832116453222639,"score_spread":0.2719507660537182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403309332","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99793845,0.00002094289,0.0015919193,0.000010434298,0.0000029903233,0.0000047795074,0.000093658615,0.000016656273,0.00032016053],"genre_scores_gemma":[0.99748814,0.000025452162,0.002045837,0.000011153626,0.0000024617905,0.000007972132,0.00013034049,0.0000046474083,0.0002839244],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998896,0.000023504213,0.0000047966228,0.000037418264,0.000026822312,0.000017845086],"domain_scores_gemma":[0.9998281,0.00004340245,0.000040076866,0.000026815624,0.000036888265,0.000024732304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018381138,0.00025160503,0.00017119847,0.00030636604,0.00017978612,0.00023340319,0.00027105227,0.00032352377,0.0004379022],"category_scores_gemma":[0.000434406,0.00013273528,0.00015672093,0.00032650458,0.0004426284,0.00022370862,0.00036154545,0.0001698418,0.00011804384],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001194727,0.00021185323,0.3174183,0.00014142755,0.00018462155,0.0031243288,0.0019500628,0.031229245,0.61483186,0.00037393335,0.00061146624,0.028728051],"study_design_scores_gemma":[0.00005725034,0.00091242045,0.8985743,0.00003286175,0.00014301718,0.0016916974,0.0023915132,0.054326724,0.039127562,0.00042949905,0.0022545052,0.00005860274],"about_ca_topic_score_codex":0.0019311006,"about_ca_topic_score_gemma":0.006804041,"teacher_disagreement_score":0.0019311006,"about_ca_system_score_codex":0.00015904258,"about_ca_system_score_gemma":0.00013808637,"threshold_uncertainty_score":0.0038396716},"labels":[],"label_agreement":null},{"id":"W4403380166","doi":"10.3390/f15101800","title":"Preliminary Insights on Moisture Content Measurement in Square Timbers Using GPR Signals and 1D-CNN Models","year":2024,"lang":"en","type":"article","venue":"Forests","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for the Central Universities; China Scholarship Council","keywords":"Mean squared error; Ground-penetrating radar; Convolutional neural network; Water content; Waveform; Computer science; Reliability (semiconductor); Artificial neural network; Environmental science; Remote sensing; Pattern recognition (psychology); Soil science; Radar; Artificial intelligence; Mathematics; Statistics; Engineering; Geology; Geotechnical engineering","score_opus":0.09522477789281861,"score_gpt":0.27857254767409884,"score_spread":0.18334776978128023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403380166","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8314437,0.0010940381,0.16106892,0.00029909355,0.00008282313,0.000046056928,0.0007734795,0.00072981004,0.0044620545],"genre_scores_gemma":[0.9737906,0.00038815875,0.024169473,0.000051489566,0.000014408257,0.000013848055,0.00045269894,0.000023453624,0.0010958663],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99992144,0.000008693628,0.0000037970412,0.000027650276,0.000019723557,0.000018761519],"domain_scores_gemma":[0.99989235,0.00004113525,0.000011744158,0.000010147237,0.00003712045,0.0000075042417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030161336,0.0005585023,0.00017424503,0.00044063485,0.00008483782,0.00030835863,0.00031783222,0.00037722703,0.0007425889],"category_scores_gemma":[0.00059812923,0.00015470377,0.00029297423,0.00039123272,0.00016938944,0.0005879595,0.00019222786,0.0002666367,0.00023868619],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040298572,0.00021496383,0.05186541,0.00024817453,0.00010475421,0.0008004589,0.00018561799,0.5689537,0.099557705,0.002583101,0.0024793681,0.2726038],"study_design_scores_gemma":[0.0000022177603,0.000022443317,0.0068101306,0.0000060115262,0.00000973696,0.000043293476,0.000029794866,0.9866862,0.0057350984,0.0003207175,0.00032660205,0.000007678593],"about_ca_topic_score_codex":0.0077791526,"about_ca_topic_score_gemma":0.012227123,"teacher_disagreement_score":0.0077791526,"about_ca_system_score_codex":0.0002609643,"about_ca_system_score_gemma":0.00021891501,"threshold_uncertainty_score":0.015467763},"labels":[],"label_agreement":null},{"id":"W4403639930","doi":"10.23919/inc-usnc-ursi61303.2024.10723107","title":"CSI-Based Model for Precision Localization in Underground Mines","year":2024,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Computer science; Mining engineering; Geology","score_opus":0.02990414479599444,"score_gpt":0.3024376897210268,"score_spread":0.27253354492503234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403639930","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041304518,0.00024515914,0.95280766,0.00035122802,0.000067634945,0.000026611835,0.00028652386,0.00060574204,0.004304873],"genre_scores_gemma":[0.9599358,0.000222936,0.03310108,0.000105507046,0.00004391327,0.00007642625,0.00026607545,0.00006178972,0.0061865435],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963844,0.000087441644,0.000017974733,0.00010251628,0.000084550324,0.0000690079],"domain_scores_gemma":[0.99925536,0.00033150942,0.00010516139,0.00006438805,0.00020645167,0.00003710607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089614105,0.000639076,0.0007551854,0.0005708976,0.00038188358,0.00092093507,0.0012720478,0.0011149182,0.0025169381],"category_scores_gemma":[0.00222201,0.00039379045,0.0006118174,0.0006954634,0.0008834536,0.0012642725,0.0011402218,0.0014330265,0.0005443505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003695164,0.000010821314,0.0004114137,0.000019687495,0.000008144864,0.000030821822,0.000022699272,0.9875777,0.00074560166,0.0052846726,0.00033235425,0.0055192104],"study_design_scores_gemma":[9.3722696e-7,0.0000052699643,0.000051811978,0.0000012888285,0.0000013189593,0.000004087483,0.0000016723308,0.99887747,0.000069136455,0.00091576634,0.00006905486,0.0000021332173],"about_ca_topic_score_codex":0.012657492,"about_ca_topic_score_gemma":0.0061819796,"teacher_disagreement_score":0.012657492,"about_ca_system_score_codex":0.0009892498,"about_ca_system_score_gemma":0.0010261715,"threshold_uncertainty_score":0.025167644},"labels":[],"label_agreement":null},{"id":"W4403657727","doi":"10.3997/2214-4609.202420193","title":"Advanced Seismic Imaging Solutions for Nuclear Waste Repository Site Evaluation and Characterization","year":2024,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Radioactive waste; Characterization (materials science); Waste management; Environmental science; Computer science; Engineering; Materials science; Nanotechnology","score_opus":0.011498800671468084,"score_gpt":0.2599030985885699,"score_spread":0.24840429791710184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403657727","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037975643,0.0006818903,0.94654995,0.00068622525,0.0000896148,0.0001801738,0.0010189533,0.005444039,0.007373481],"genre_scores_gemma":[0.28150824,0.0011896377,0.7085057,0.00022178321,0.00009452115,0.00024967323,0.0020582038,0.00048241753,0.005689833],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9991959,0.00012392784,0.00005034718,0.00009928779,0.00045983563,0.00007070185],"domain_scores_gemma":[0.99830544,0.00021435964,0.00017004853,0.0001989998,0.0010117142,0.000099432975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001197927,0.00091455795,0.0006188573,0.0027183676,0.00029746004,0.0016087014,0.0011260621,0.0011499686,0.0054020863],"category_scores_gemma":[0.0019358828,0.00040529162,0.0004755301,0.0013594313,0.0003293646,0.0011192689,0.0014213049,0.0007493272,0.0036424082],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028114472,0.00012757252,0.008059222,0.00043140436,0.000054744232,0.00026183372,0.00031629385,0.059516694,0.14531757,0.0039101224,0.010031864,0.77169144],"study_design_scores_gemma":[0.00005785941,0.00026865525,0.010374478,0.00019745438,0.00007616916,0.0006150759,0.000832104,0.8247815,0.1098851,0.011922921,0.040892553,0.00009614397],"about_ca_topic_score_codex":0.0017711316,"about_ca_topic_score_gemma":0.0031008758,"teacher_disagreement_score":0.0054020863,"about_ca_system_score_codex":0.00052834215,"about_ca_system_score_gemma":0.00076328503,"threshold_uncertainty_score":0.01807177},"labels":[],"label_agreement":null},{"id":"W4403751677","doi":"10.1016/j.jasrep.2024.104821","title":"Geophysical surveys at Formoso underwater archaeological stilt village in the eastern Amazon region, Brazil","year":2024,"lang":"en","type":"article","venue":"Journal of Archaeological Science Reports","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Institut Pasteur de Tunis; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Universidade Federal do Maranhão; Universidade de São Paulo; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa e ao Desenvolvimento Científico e Tecnológico do Maranhão; Fundação de Amparo à Pesquisa do Estado de São Paulo; Institute of Australian Geographers","keywords":"Amazon rainforest; Geology; Archaeology; Geography; Underwater; Physical geography; Ecology; Biology","score_opus":0.02826676256932019,"score_gpt":0.29642627960076745,"score_spread":0.26815951703144725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403751677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965875,0.000082008555,0.00020103205,0.000037211983,0.0000017644112,0.000020409823,0.00017497792,0.000009416203,0.00288559],"genre_scores_gemma":[0.9983577,0.000089955356,0.0004999668,0.000006698575,0.0000011757503,0.0000119115875,0.00009688565,0.0000022895408,0.00093342416],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998573,0.000027639484,0.000008804018,0.000030439818,0.00004108182,0.00003463536],"domain_scores_gemma":[0.9998178,0.000034264467,0.00003970402,0.000013585341,0.00006301617,0.00003160639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015041788,0.00013288853,0.00016258984,0.0006351474,0.0006533811,0.00033070587,0.0002309859,0.00018229203,0.00076863857],"category_scores_gemma":[0.00072413264,0.0001333048,0.00008584571,0.0009840427,0.00036787806,0.00019217067,0.0005102638,0.00009229396,0.00012912785],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006840499,0.000060383543,0.913893,0.00016800278,0.00003292685,0.0018983808,0.026839461,0.00035457104,0.016040955,0.00076246174,0.00073214795,0.03914939],"study_design_scores_gemma":[0.0000037458744,0.000054698587,0.9734021,0.00003997585,0.000016214392,0.00062317203,0.020727227,0.00042264102,0.0005830983,0.00008759819,0.004031679,0.000007786148],"about_ca_topic_score_codex":0.08704579,"about_ca_topic_score_gemma":0.31227273,"teacher_disagreement_score":0.08704579,"about_ca_system_score_codex":0.00045508138,"about_ca_system_score_gemma":0.001083342,"threshold_uncertainty_score":0.17307824},"labels":[],"label_agreement":null},{"id":"W4404609150","doi":"10.1109/tc.2024.3500369","title":"Mix-GEMM: Extending RISC-V CPUs for Energy-Efficient Mixed-Precision DNN Inference Using Binary Segmentation","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Computers","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Computer science; Binary number; Parallel computing; Inference; Segmentation; Algorithm; Arithmetic; Artificial intelligence; Mathematics","score_opus":0.031093614405805572,"score_gpt":0.3064758833789454,"score_spread":0.27538226897313983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404609150","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13817199,0.0026722772,0.730348,0.0008092649,0.00075965415,0.0003154352,0.0019365271,0.06526364,0.059723236],"genre_scores_gemma":[0.54392326,0.0004384633,0.43180636,0.00086112536,0.00010701216,0.00033883788,0.0031984681,0.002070699,0.0172558],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997491,0.000032285327,0.000016580498,0.00006562006,0.00009522256,0.00004113673],"domain_scores_gemma":[0.9997619,0.00005716083,0.000026549978,0.000060466467,0.000068252055,0.000025598156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028765624,0.0008438697,0.00033309485,0.00047633782,0.00025411448,0.00082804327,0.0023170211,0.0005163466,0.013934008],"category_scores_gemma":[0.00089048425,0.0003719011,0.00034966323,0.00044224673,0.00033873247,0.0011685119,0.0008203392,0.0007928387,0.0034522947],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017801803,0.00038442705,0.0048036594,0.0010423535,0.00033019934,0.00081993587,0.00038141143,0.09183402,0.17318852,0.045567542,0.13567716,0.5441905],"study_design_scores_gemma":[0.00018736426,0.0005469931,0.001218192,0.00009828666,0.00008981309,0.00030028142,0.00006022123,0.76997405,0.1350877,0.011854742,0.08050142,0.000080998114],"about_ca_topic_score_codex":0.0020331435,"about_ca_topic_score_gemma":0.0046052663,"teacher_disagreement_score":0.013934008,"about_ca_system_score_codex":0.000822834,"about_ca_system_score_gemma":0.0009587087,"threshold_uncertainty_score":0.04661393},"labels":[],"label_agreement":null},{"id":"W4404678927","doi":"","title":"Potential pozzolanicity of glass cullet fines and aggregates","year":2011,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Glass recycling; Materials science; Environmental science; Waste management; Composite material; Engineering","score_opus":0.013587028362697106,"score_gpt":0.2107967286238957,"score_spread":0.1972097002611986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404678927","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.977105,0.00060775015,0.00330171,0.00015317461,0.00004539282,0.000014048822,0.00012135706,0.00006135518,0.018590065],"genre_scores_gemma":[0.9976,0.00008227464,0.00011342709,0.000008101597,0.0000071138584,0.0000018154192,0.000024662202,0.000007655324,0.002154901],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998474,0.000012842829,0.000002993696,0.000055684755,0.0000369147,0.000044166238],"domain_scores_gemma":[0.9996426,0.00011472395,0.000045624634,0.000039197068,0.00007634759,0.00008137366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002183195,0.00020935804,0.00019998086,0.0011759402,0.0007796654,0.0017910796,0.0003464093,0.00048251176,0.0069531496],"category_scores_gemma":[0.0010906399,0.0001775749,0.00014419344,0.00041653975,0.00074928824,0.000919315,0.00044437274,0.0003085598,0.0004118893],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026698331,0.000181108,0.047481384,0.0003708388,0.000091199094,0.0013068708,0.001465942,0.039010063,0.703168,0.14935772,0.002368813,0.05252828],"study_design_scores_gemma":[0.0001501032,0.00090688164,0.18485887,0.00009940953,0.00018340287,0.0016735347,0.0051270174,0.17486873,0.51563996,0.08428615,0.031992696,0.00021325667],"about_ca_topic_score_codex":0.0027639237,"about_ca_topic_score_gemma":0.0026340217,"teacher_disagreement_score":0.0069531496,"about_ca_system_score_codex":0.00066119595,"about_ca_system_score_gemma":0.00018552589,"threshold_uncertainty_score":0.023260593},"labels":[],"label_agreement":null},{"id":"W4404689073","doi":"10.1109/andescon61840.2024.10755861","title":"Evaluating Propagation Models for IIoT in Underground Mining: an Experimental Comparative Study in Underground Coal Mines","year":2024,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Coal mining; Underground mining (soft rock); Mining engineering; Coal; Petroleum engineering; Geology; Environmental science; Engineering; Waste management","score_opus":0.24102463964334103,"score_gpt":0.4561510027960317,"score_spread":0.21512636315269068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404689073","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9822938,0.000042660155,0.016440012,0.000022058679,0.000010534648,0.00004614185,0.000106662555,0.00008737083,0.00095070153],"genre_scores_gemma":[0.9943019,0.00006889659,0.0050552655,0.0000036855272,0.0000023453683,0.000026999725,0.00008324039,0.000012118574,0.00044559196],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995969,0.00013050421,0.00002088139,0.000063746535,0.00013412653,0.00005387896],"domain_scores_gemma":[0.99793243,0.0013196464,0.00018160051,0.00018758327,0.00032219425,0.000056571196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006793801,0.00067160063,0.0004404805,0.00053686864,0.00029659408,0.00051082805,0.00049107894,0.000632847,0.0005707883],"category_scores_gemma":[0.0017966159,0.00016753114,0.0004040797,0.0004889787,0.0004610197,0.00054634985,0.00035285886,0.00038481323,0.00014236546],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006409434,0.0009263102,0.02665533,0.00020689462,0.00005447494,0.00038809172,0.00060069334,0.88537765,0.056095667,0.0016203425,0.00041151716,0.027022073],"study_design_scores_gemma":[0.000030167368,0.0008129048,0.009181826,0.000015327405,0.00003252678,0.00011709122,0.0003938358,0.9702948,0.01838529,0.0003762601,0.00033101687,0.000028988467],"about_ca_topic_score_codex":0.0063689966,"about_ca_topic_score_gemma":0.0056825355,"teacher_disagreement_score":0.0063689966,"about_ca_system_score_codex":0.0005947698,"about_ca_system_score_gemma":0.00042079942,"threshold_uncertainty_score":0.012663841},"labels":[],"label_agreement":null},{"id":"W4404758182","doi":"10.1088/1742-6596/2887/1/011001","title":"Preface","year":2024,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Psychology","score_opus":0.02328872435060217,"score_gpt":0.26624605727917827,"score_spread":0.2429573329285761,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404758182","genre_codex":"other","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018633445,0.009952605,0.0072442344,0.030128002,0.100141644,0.0006024376,0.011139629,0.0020965505,0.83683157],"genre_scores_gemma":[0.009580649,0.0066098506,0.0037392809,0.009798952,0.015958989,0.00041171175,0.011806718,0.0011255278,0.9409683],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984863,0.00022508827,0.000120514866,0.00032393675,0.0006804335,0.00016369105],"domain_scores_gemma":[0.9960484,0.00059818226,0.00015911977,0.0003984683,0.0021541445,0.0006416632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015046821,0.0011579803,0.0008251298,0.0021468664,0.0029731463,0.004805493,0.001895239,0.001998406,0.5284247],"category_scores_gemma":[0.009668979,0.0003579043,0.0006670618,0.0017545744,0.0008874962,0.004031821,0.0027331405,0.003244139,0.37725157],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032547086,0.000021760743,0.00015934407,0.00013344469,0.0000029784978,0.000083608276,0.00016385871,0.00006291044,0.00014027307,0.0066300035,0.9481681,0.044401135],"study_design_scores_gemma":[0.0000028089933,0.000011557152,0.00016697966,0.00008237282,0.000001201659,0.000077538345,0.00011566144,0.000020633035,0.000049920443,0.0015729775,0.9978946,0.0000038743],"about_ca_topic_score_codex":0.0031294627,"about_ca_topic_score_gemma":0.0035297375,"teacher_disagreement_score":0.5284247,"about_ca_system_score_codex":0.0022027525,"about_ca_system_score_gemma":0.003014892,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4405269566","doi":"10.1088/1361-665x/ad9dc8","title":"Wavelet packet transformation-based improved acoustic emission method for structural damage identification","year":2024,"lang":"en","type":"article","venue":"Smart Materials and Structures","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Western University; Ministry of Education, Libya","keywords":"Acoustic emission; Wavelet; Visualization; Transformation (genetics); Wavelet packet decomposition; Computer science; Pattern recognition (psychology); Acoustics; Nondestructive testing; SIGNAL (programming language); Wavelet transform; Artificial intelligence; Materials science; Biological system; Physics","score_opus":0.009321868391028996,"score_gpt":0.2830073095521234,"score_spread":0.2736854411610944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405269566","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018464083,0.00007805893,0.9807159,0.000027609907,0.000015040192,0.000016090715,0.000029647446,0.00025597884,0.00039764165],"genre_scores_gemma":[0.36615276,0.00049808744,0.6301598,0.00004087627,0.000036160323,0.0000862319,0.00022633311,0.00008728108,0.0027124772],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997683,0.00004408679,0.000009675157,0.000040879248,0.0001212362,0.000015803038],"domain_scores_gemma":[0.9997578,0.00006126077,0.000032439213,0.000034069904,0.000104599785,0.0000098003875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036263658,0.00038922296,0.0003252761,0.00064263126,0.00010408353,0.00027731012,0.00042531636,0.0003135447,0.0010779533],"category_scores_gemma":[0.00070207875,0.00016517502,0.0003453877,0.0005855385,0.00020478477,0.0005453151,0.0003900775,0.00046056596,0.00043515948],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018842133,0.00012134399,0.0014801346,0.00016832941,0.000048704595,0.00014157087,0.00009379125,0.10847473,0.22898485,0.005147693,0.0014319195,0.65371853],"study_design_scores_gemma":[0.0000068858863,0.00005172326,0.0011452446,0.000005777225,0.000011120344,0.000101137775,0.000012054373,0.97203547,0.024651937,0.00053306966,0.001433597,0.000011961227],"about_ca_topic_score_codex":0.00074295205,"about_ca_topic_score_gemma":0.00075316906,"teacher_disagreement_score":0.0010779533,"about_ca_system_score_codex":0.00016058408,"about_ca_system_score_gemma":0.00031095598,"threshold_uncertainty_score":0.003606081},"labels":[],"label_agreement":null},{"id":"W4405491278","doi":"10.1109/sensors60989.2024.10784889","title":"Contactless In-Bed Detection Using a Low-Cost Low-Resolution Radar","year":2024,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Radar; Computer science; Resolution (logic); Radar imaging; Remote sensing; Radar detection; Artificial intelligence; Geology; Telecommunications","score_opus":0.017151672337285956,"score_gpt":0.2728258125950492,"score_spread":0.25567414025776325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405491278","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04672163,0.000639271,0.9452506,0.00036122015,0.00025114103,0.000119057695,0.00033239322,0.0033692308,0.002955494],"genre_scores_gemma":[0.4719675,0.00086703437,0.5198165,0.0008862877,0.00020733886,0.00019829605,0.00081547804,0.00012586644,0.0051156906],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996691,0.0000549783,0.000016774471,0.00009978534,0.00012194259,0.00003749853],"domain_scores_gemma":[0.9996717,0.00008238898,0.00004168618,0.000072132985,0.00010577775,0.0000262443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041208827,0.0005339709,0.00084228633,0.00048393532,0.00026524597,0.0007260294,0.0011800628,0.0007879967,0.0015519897],"category_scores_gemma":[0.0011362999,0.0002856214,0.00035292614,0.00041686805,0.0001703285,0.00091884384,0.0008541185,0.0007657584,0.0017946869],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040577463,0.00048670624,0.018142166,0.00057942007,0.00015974173,0.0005641911,0.00033034311,0.028865466,0.24813677,0.0032379373,0.014234318,0.6848572],"study_design_scores_gemma":[0.00007871132,0.00052325765,0.0138988,0.00007326402,0.00016525708,0.00204799,0.0001705273,0.8690485,0.09200757,0.0024617494,0.019432226,0.00009205769],"about_ca_topic_score_codex":0.0008545304,"about_ca_topic_score_gemma":0.0014509901,"teacher_disagreement_score":0.0015519897,"about_ca_system_score_codex":0.00020156783,"about_ca_system_score_gemma":0.00041573922,"threshold_uncertainty_score":0.005191922},"labels":[],"label_agreement":null},{"id":"W4405867268","doi":"10.1016/j.jes.2024.12.024","title":"Improving groundwater vulnerability assessment using machine learning","year":2024,"lang":"en","type":"article","venue":"Journal of Environmental Sciences","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Health","keywords":"Vulnerability (computing); Groundwater; Vulnerability assessment; Computer science; Environmental science; Water resource management; Artificial intelligence; Geology; Psychology; Computer security; Geotechnical engineering","score_opus":0.019555120907699643,"score_gpt":0.29532702026198193,"score_spread":0.2757718993542823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405867268","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38659862,0.00048278493,0.60728043,0.0004309099,0.000058001715,0.00005821873,0.0003183254,0.0011501258,0.0036226036],"genre_scores_gemma":[0.9557347,0.00007656661,0.043300554,0.000038298367,0.00002221536,0.00001665225,0.00017066741,0.000023148548,0.00061709364],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969673,0.000095331685,0.000020727204,0.0000527005,0.0000926063,0.000041925246],"domain_scores_gemma":[0.99862707,0.00086366816,0.00010390515,0.000088284134,0.0002791407,0.00003788806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078606245,0.00054829865,0.0005851327,0.0018863211,0.00027923702,0.00063055137,0.0005111446,0.00065641565,0.0012633402],"category_scores_gemma":[0.0033588924,0.00021602295,0.000525399,0.0007467004,0.00024385122,0.0010900213,0.00075475156,0.00050673663,0.0002061935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007647919,0.00013095113,0.01212614,0.000050561568,0.00011128081,0.00007778542,0.00003899479,0.8086231,0.0038250592,0.0014832334,0.0010207996,0.17243566],"study_design_scores_gemma":[0.0000018043273,0.000012899528,0.0006002727,0.0000022234426,0.0000063851994,0.0000070736783,0.0000070986553,0.99756926,0.0005918083,0.0011108154,0.00008774381,0.0000024882481],"about_ca_topic_score_codex":0.003723553,"about_ca_topic_score_gemma":0.0040311283,"teacher_disagreement_score":0.003723553,"about_ca_system_score_codex":0.00042961125,"about_ca_system_score_gemma":0.0005752268,"threshold_uncertainty_score":0.007403791},"labels":[],"label_agreement":null},{"id":"W4406120119","doi":"10.1139/cgj-2024-0455","title":"Interpretation of subsurface stratigraphic variations from limited boreholes using Dual Bi-LSTM","year":2025,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Borehole; Geology; Serviceability (structure); Sampling (signal processing); Computer science; Artificial intelligence; Geotechnical engineering; Engineering; Detector; Civil engineering","score_opus":0.014613709308905177,"score_gpt":0.2524447318589047,"score_spread":0.23783102254999952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406120119","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35857788,0.0004175604,0.6346344,0.00026690093,0.00012349527,0.000042718806,0.0011719463,0.0021592632,0.0026058864],"genre_scores_gemma":[0.92856586,0.00014298008,0.06914124,0.000066952656,0.000019391315,0.00003989109,0.00074953755,0.000048702917,0.0012255367],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993,0.000008482874,0.0000048008624,0.000023726305,0.000017734814,0.000015238088],"domain_scores_gemma":[0.9998833,0.000028477107,0.00002082917,0.000014467101,0.0000435815,0.000009278727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017256217,0.00046678062,0.00021950545,0.00052730774,0.00014239993,0.00034789642,0.0005788915,0.00039842533,0.0008575015],"category_scores_gemma":[0.0006400598,0.00020340449,0.00026103196,0.0006235987,0.0001798079,0.00075926055,0.00045128915,0.0003951845,0.00023359465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035224645,0.00017810885,0.016513342,0.00020571766,0.00007595572,0.00030653976,0.00022071335,0.49423265,0.08922763,0.0017741066,0.0032517381,0.39366126],"study_design_scores_gemma":[0.0000058437454,0.000018405273,0.0034755208,0.0000074092627,0.000009766022,0.000029283528,0.000034148914,0.99070966,0.0044769696,0.00078311237,0.00044126576,0.000008560799],"about_ca_topic_score_codex":0.00746908,"about_ca_topic_score_gemma":0.01352048,"teacher_disagreement_score":0.00746908,"about_ca_system_score_codex":0.00027984096,"about_ca_system_score_gemma":0.00048551042,"threshold_uncertainty_score":0.0148512125},"labels":[],"label_agreement":null},{"id":"W4406278601","doi":"10.1016/j.jhydrol.2024.132657","title":"Tidal signal propagation in coastal aquifers considering semi-permeable boundaries and partial penetration effects","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"National Science and Technology Council","keywords":"Aquifer; Geology; Penetration (warfare); Hydrology (agriculture); Tidal current; Soil science; Geomorphology; Groundwater; Geotechnical engineering; Oceanography","score_opus":0.0060083803316154875,"score_gpt":0.24003616529693902,"score_spread":0.23402778496532353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406278601","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9303688,0.00012573511,0.06546645,0.00011830887,0.000016477516,0.000012688556,0.00008708604,0.00011296198,0.0036914553],"genre_scores_gemma":[0.9979437,0.00007221007,0.0009497915,0.0000040606637,0.000004559575,0.0000027161163,0.00002316703,0.000008222237,0.0009915907],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998776,0.000034631834,0.000004825351,0.000021629061,0.000020401883,0.000041046118],"domain_scores_gemma":[0.9994843,0.00030349588,0.00006735384,0.000022790036,0.00008257143,0.000039494545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019797776,0.0004750621,0.00044831604,0.00036498284,0.00031912935,0.0007827735,0.00045533196,0.00076739694,0.0009907368],"category_scores_gemma":[0.0011179082,0.00034099794,0.00037693008,0.0005814354,0.000770127,0.0008573144,0.0005900093,0.00030543073,0.00010083027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012008821,0.000052848358,0.008453944,0.000043474818,0.000037502123,0.001066595,0.000086563705,0.97310436,0.0065513593,0.0037073207,0.00020589911,0.0065700603],"study_design_scores_gemma":[0.0000061019614,0.00001699416,0.0016277019,0.0000026039402,0.000014131486,0.000052905034,0.000043099855,0.9972492,0.0004535698,0.00048666296,0.000040009723,0.0000069713637],"about_ca_topic_score_codex":0.013601131,"about_ca_topic_score_gemma":0.009166387,"teacher_disagreement_score":0.013601131,"about_ca_system_score_codex":0.00043762446,"about_ca_system_score_gemma":0.0005181869,"threshold_uncertainty_score":0.027043939},"labels":[],"label_agreement":null},{"id":"W4407107712","doi":"10.3390/app15031500","title":"Hammering Test for Tile Wall Using Deep Learning","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Tokyo Metropolitan Small and Medium Enterprise Support Center","keywords":"Tile; Test (biology); Computer science; Materials science; Geology; Composite material","score_opus":0.025296975220856277,"score_gpt":0.297382169947008,"score_spread":0.2720851947261517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407107712","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3022564,0.001297571,0.67601275,0.0006091092,0.00024988735,0.0001776835,0.00075190206,0.011087975,0.0075566424],"genre_scores_gemma":[0.84825426,0.0003748722,0.13904798,0.0004352886,0.00005065224,0.00012926561,0.002389612,0.00017136446,0.009146736],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998184,0.000017916695,0.000011910917,0.0000539417,0.000051207142,0.000046641573],"domain_scores_gemma":[0.9997491,0.000103870334,0.000023061646,0.000024091556,0.000074743104,0.000025078005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032523487,0.00089204125,0.0004803565,0.0006701241,0.00018868229,0.0004799268,0.0010478701,0.0010372372,0.0026379593],"category_scores_gemma":[0.0008830206,0.00029368067,0.00068436866,0.00034415856,0.00023161266,0.000590205,0.00053224835,0.0008692221,0.00071134313],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047633768,0.0004027671,0.0059604878,0.0001927583,0.00011142258,0.00035431102,0.000065735876,0.3166082,0.023851652,0.0011759377,0.010197105,0.6406033],"study_design_scores_gemma":[0.000010362302,0.00006923308,0.0005887242,0.0000079006695,0.000009654362,0.000021010806,0.000014805042,0.9952058,0.0029783994,0.00062816235,0.00045949343,0.000006422856],"about_ca_topic_score_codex":0.005715427,"about_ca_topic_score_gemma":0.007970945,"teacher_disagreement_score":0.005715427,"about_ca_system_score_codex":0.00038942654,"about_ca_system_score_gemma":0.00060541346,"threshold_uncertainty_score":0.011364341},"labels":[],"label_agreement":null},{"id":"W4407935395","doi":"10.1080/17486025.2025.2468645","title":"Performance characterisation of machine learning models for geotechnical axial pile load capacity estimation: an enhanced GPR-based approach","year":2025,"lang":"en","type":"article","venue":"Geomechanics and Geoengineering","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China; Ministry of Natural Resources","keywords":"Pile; Ground-penetrating radar; Geotechnical engineering; Geology; Structural engineering; Engineering; Civil engineering; Radar","score_opus":0.018914669188250934,"score_gpt":0.22620560655536467,"score_spread":0.20729093736711374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407935395","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5550242,0.0008137055,0.43991882,0.00038831064,0.000037449016,0.0000801228,0.00027056472,0.0011579533,0.0023089314],"genre_scores_gemma":[0.9730407,0.0001759878,0.02590112,0.000029979747,0.0000145508075,0.0000471501,0.00027866077,0.000020801566,0.0004911167],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992372,0.00039295023,0.00005292422,0.000109406545,0.00013649877,0.00007104068],"domain_scores_gemma":[0.996421,0.0026252153,0.00026497737,0.00020930011,0.00043208682,0.000047426878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032232823,0.0009384669,0.0008057595,0.0010571415,0.0002168695,0.00075986783,0.0006029839,0.000838221,0.0006817965],"category_scores_gemma":[0.0065897536,0.0002737326,0.00069418806,0.00054603437,0.00028322372,0.000702857,0.00057776127,0.00078476686,0.0003932281],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002499655,0.00015172485,0.013926083,0.00012125711,0.00012800515,0.00009967825,0.00009745978,0.8948277,0.0050093345,0.0009803238,0.00042357255,0.08398489],"study_design_scores_gemma":[0.0000025959546,0.00006489392,0.0023415692,0.000008897247,0.000011416004,0.000020446492,0.000017698425,0.99637586,0.00076994754,0.00028105368,0.00009956481,0.0000061252263],"about_ca_topic_score_codex":0.002666257,"about_ca_topic_score_gemma":0.0018347498,"teacher_disagreement_score":0.0032232823,"about_ca_system_score_codex":0.00034160883,"about_ca_system_score_gemma":0.00055663986,"threshold_uncertainty_score":0.01704657},"labels":[],"label_agreement":null},{"id":"W4407996296","doi":"10.1061/9780784485699.039","title":"Safeguarding Tailings Dams from Space Using L-Band SAR Soil Moisture Analysis","year":2025,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"ASTER","funders":"","keywords":"Tailings; Safeguarding; Moisture; Environmental science; Remote sensing; Water content; Geology; Geotechnical engineering; Soil science; Materials science; Geography; Meteorology; Metallurgy","score_opus":0.010022837451709406,"score_gpt":0.27529065980985085,"score_spread":0.26526782235814145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407996296","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66727716,0.0011204993,0.31220978,0.00045405029,0.000095480435,0.000101037855,0.0009630665,0.002748287,0.01503074],"genre_scores_gemma":[0.95339423,0.0005361632,0.042628136,0.00012576931,0.000026647653,0.000033018656,0.00047935251,0.000051352745,0.002725461],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9998994,0.000019111003,0.000004972881,0.000022219674,0.000035583547,0.000018582185],"domain_scores_gemma":[0.9998586,0.00003312797,0.00003606892,0.000013236848,0.000048900616,0.000010002814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021438592,0.00033309008,0.0001612983,0.00059202424,0.00011399286,0.00042865585,0.00021436876,0.00029404685,0.0007543245],"category_scores_gemma":[0.00036800362,0.00012450131,0.00018981965,0.000365696,0.00012308844,0.0005479074,0.00031056875,0.0002246283,0.00049702916],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003562089,0.000171689,0.05006504,0.0004027966,0.00013010562,0.00078870816,0.0004768057,0.067990065,0.38339025,0.0014444909,0.005826506,0.48895735],"study_design_scores_gemma":[0.00006802478,0.0006316393,0.18690278,0.00017880589,0.0002553747,0.00085561344,0.0011915273,0.62692964,0.15162833,0.0037762907,0.027433146,0.00014886032],"about_ca_topic_score_codex":0.0010451538,"about_ca_topic_score_gemma":0.0023025833,"teacher_disagreement_score":0.0010451538,"about_ca_system_score_codex":0.00010825376,"about_ca_system_score_gemma":0.00017674144,"threshold_uncertainty_score":0.0025234818},"labels":[],"label_agreement":null},{"id":"W4408192079","doi":"10.1016/j.autcon.2025.106107","title":"Optimized crane mat design and transit path planning using a graph search algorithm","year":2025,"lang":"en","type":"article","venue":"Automation in Construction","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of Alberta","funders":"","keywords":"Algorithm; Graph; Path (computing); Motion planning; Computer science; Search algorithm; Engineering; Artificial intelligence; Theoretical computer science","score_opus":0.021867651991287058,"score_gpt":0.28985480369509253,"score_spread":0.2679871517038055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408192079","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06966748,0.00017859449,0.9167134,0.00017436387,0.00002799104,0.00017082969,0.00019740764,0.0011707962,0.011699185],"genre_scores_gemma":[0.42779207,0.00016390886,0.56665826,0.00006582113,0.000010427186,0.00018985766,0.00032206377,0.00020311995,0.0045944992],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998536,0.00003596936,0.0000047717213,0.00004372462,0.00003349035,0.000028428287],"domain_scores_gemma":[0.999731,0.0001742147,0.000022638767,0.0000152001085,0.000042519645,0.000014437486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021784061,0.00083587965,0.00045646905,0.00087239296,0.00038838605,0.0005091315,0.0005588982,0.0006969808,0.0045027356],"category_scores_gemma":[0.0008157786,0.00040589154,0.00050050206,0.0007950129,0.00049991655,0.0005288475,0.00036840732,0.00043707437,0.0003805825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033259523,0.000037288028,0.00045117058,0.00003920032,0.000010475259,0.000037795486,0.000028093544,0.96369594,0.002015963,0.0034288552,0.0008798797,0.029342059],"study_design_scores_gemma":[0.000017489205,0.00002943547,0.00011446246,0.000003817388,0.0000056039503,0.000010647613,0.000021213264,0.99712354,0.0006259644,0.0013007768,0.0007433994,0.0000036704982],"about_ca_topic_score_codex":0.020129967,"about_ca_topic_score_gemma":0.033216245,"teacher_disagreement_score":0.020129967,"about_ca_system_score_codex":0.000943275,"about_ca_system_score_gemma":0.0022540842,"threshold_uncertainty_score":0.04002559},"labels":[],"label_agreement":null},{"id":"W4408278545","doi":"10.1016/j.jhydrol.2025.133059","title":"Estimating soil hydraulic conductivity from time-lapse ground-penetrating radar data in podzolic soils using the green-ampt model","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Newfoundland and Labrador; Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland; Research and Development Corporation of Newfoundland and Labrador","keywords":"Soil water; Hydraulic conductivity; Geology; Soil science; Ground-penetrating radar; Hydrology (agriculture); Environmental science; Radar; Geotechnical engineering","score_opus":0.04221223608949761,"score_gpt":0.31295557286358294,"score_spread":0.27074333677408535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408278545","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9661006,0.00011887522,0.032554507,0.000060742863,0.0000101027645,0.000011083047,0.0002747962,0.0004063724,0.00046299948],"genre_scores_gemma":[0.9932755,0.0000671123,0.006292726,0.00000594783,0.0000024407423,0.0000059620393,0.00016921951,0.000013719472,0.00016726478],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993515,0.00001074028,0.0000042860147,0.000022992932,0.00001094757,0.000015913909],"domain_scores_gemma":[0.9996586,0.00018296903,0.000043319546,0.000028567149,0.00005424536,0.00003228394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002775169,0.00036986262,0.0003963898,0.00041923087,0.00020669504,0.00066850515,0.00061149854,0.0007062168,0.00028538538],"category_scores_gemma":[0.0011665362,0.00031843613,0.0002986837,0.0005532928,0.00028155933,0.00072313094,0.00028056276,0.00037199527,0.00013813008],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018587611,0.00012139367,0.031137692,0.00007162807,0.00006305122,0.0002154102,0.000056322515,0.9139791,0.02637515,0.00050902204,0.00026729834,0.027018055],"study_design_scores_gemma":[0.000011845392,0.0000100828565,0.0049914457,0.0000021159742,0.000006441241,0.000012780896,0.000010356357,0.9933343,0.0014550731,0.00012152062,0.000035494057,0.00000852545],"about_ca_topic_score_codex":0.026469221,"about_ca_topic_score_gemma":0.022777898,"teacher_disagreement_score":0.026469221,"about_ca_system_score_codex":0.00076062314,"about_ca_system_score_gemma":0.0007488971,"threshold_uncertainty_score":0.052630305},"labels":[],"label_agreement":null},{"id":"W4408391585","doi":"10.1016/j.ndteint.2025.103366","title":"Singular-value Gain Compensation: Robust and efficient GPR preprocessing method enhancing zero-shot underground object segmentation by Segment-Anything Model","year":2025,"lang":"en","type":"article","venue":"NDT & E International","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fusion Oriented REsearch for disruptive Science and Technology; Japan Science and Technology Agency; Council for Science, Technology and Innovation; Swine Innovation Porc","keywords":"Preprocessor; Segmentation; Compensation (psychology); Artificial intelligence; Object (grammar); Computer vision; Ground-penetrating radar; Zero (linguistics); Shot (pellet); Computer science; Pattern recognition (psychology); Engineering; Mathematics; Materials science; Radar; Psychology","score_opus":0.019796912957468285,"score_gpt":0.31238946912893156,"score_spread":0.2925925561714633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408391585","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014270755,0.00015197413,0.9832892,0.000082061335,0.00003480214,0.000025458341,0.000048879338,0.00122323,0.000873755],"genre_scores_gemma":[0.40129045,0.0005876041,0.5899322,0.00026302086,0.00007002985,0.000091168964,0.00083487877,0.0005542911,0.006376309],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973065,0.000026969088,0.000013443602,0.00006390956,0.00012475923,0.000040190032],"domain_scores_gemma":[0.99980253,0.0000428748,0.000027203672,0.000037772665,0.00007440805,0.000015354093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041147845,0.00079656596,0.00054096774,0.00079314725,0.00022502938,0.0007396434,0.00090452953,0.0007796316,0.0014256903],"category_scores_gemma":[0.0008643397,0.00030203955,0.00068113796,0.0005527768,0.0004826682,0.0009406991,0.0007263176,0.0007678113,0.0008409591],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027268927,0.00009517077,0.0013710109,0.00021746324,0.000082632985,0.0002220562,0.00017836118,0.20836602,0.1864911,0.007423361,0.004611534,0.5906686],"study_design_scores_gemma":[0.0000072681078,0.000056617013,0.00060998986,0.0000104218125,0.000025537252,0.00014308111,0.000021709822,0.9592226,0.035299722,0.0018815101,0.002701294,0.000020170077],"about_ca_topic_score_codex":0.002787876,"about_ca_topic_score_gemma":0.0035491975,"teacher_disagreement_score":0.002787876,"about_ca_system_score_codex":0.0004123594,"about_ca_system_score_gemma":0.0008733248,"threshold_uncertainty_score":0.005543351},"labels":[],"label_agreement":null},{"id":"W4408429139","doi":"10.5194/egusphere-egu25-14411","title":"Field study on the application of time-lapse electrical resistivity tomography to assess the performance of an inclined multi-layer cover system reducing water infiltration","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal; Université du Québec en Abitibi-Témiscamingue; GDG Environnement; École de Technologie Supérieure","funders":"","keywords":"Electrical resistivity and conductivity; Infiltration (HVAC); Electrical resistivity tomography; Cover (algebra); Environmental science; Field (mathematics); Tomography; Remote sensing; Soil science; Materials science; Geology; Engineering; Electrical engineering; Optics; Physics; Composite material; Mechanical engineering; Mathematics","score_opus":0.031541421970955164,"score_gpt":0.3109270012517404,"score_spread":0.2793855792807852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408429139","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974694,0.000015142196,0.0019253824,0.000014820953,0.0000019826546,0.000034961005,0.0001309067,0.00004322262,0.00036411887],"genre_scores_gemma":[0.9946819,0.000038627757,0.0044053453,0.000015117833,0.0000019091524,0.000021299118,0.00014939476,0.0000054142265,0.0006809413],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99988854,0.000014475445,0.00000515727,0.000028041184,0.000041337502,0.000022430891],"domain_scores_gemma":[0.99953926,0.00010494327,0.00006806962,0.00004494675,0.0002061742,0.00003675458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038085,0.00025294215,0.00018264243,0.0002496092,0.00023478745,0.00020363112,0.00027956974,0.00032064778,0.00068141654],"category_scores_gemma":[0.0004538318,0.000100334975,0.00013709752,0.00027862377,0.00020620786,0.00026030059,0.000105088,0.00020148022,0.00014593088],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047189838,0.0009164912,0.03596787,0.000091442336,0.000017524508,0.00033308397,0.00037977868,0.0081574535,0.9255873,0.00010120084,0.0002882872,0.027687596],"study_design_scores_gemma":[0.00012058608,0.0109107485,0.44015685,0.000029008632,0.00007216624,0.00042517888,0.0010173253,0.06956626,0.47498524,0.00010396121,0.0025577738,0.000054793847],"about_ca_topic_score_codex":0.019297574,"about_ca_topic_score_gemma":0.04138329,"teacher_disagreement_score":0.019297574,"about_ca_system_score_codex":0.00037053457,"about_ca_system_score_gemma":0.00039571003,"threshold_uncertainty_score":0.03837049},"labels":[],"label_agreement":null},{"id":"W4408444629","doi":"10.5194/egusphere-egu25-1491","title":"UAV-LiDAR-Photogrammetry analyses of Stress-Release Structures in Southern Ontario, Canada: Implications for Regional Seismic Hazard Assessment","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Geology; Lidar; Seismology; Intraplate earthquake; Devonian; Induced seismicity; Transect; Stress field; Fault (geology); Tectonics; Seismic hazard; Remote sensing; Oceanography; Paleontology","score_opus":0.04408791873659985,"score_gpt":0.3426293817524283,"score_spread":0.29854146301582846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408444629","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.986192,0.0003441721,0.0007914173,0.00016910648,0.0000054168536,0.000077683515,0.004947946,0.00006450405,0.007407896],"genre_scores_gemma":[0.9926547,0.00033054137,0.0016793224,0.000053301206,0.0000024591945,0.000031564352,0.0018316229,0.000010557137,0.0034058713],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99982625,0.0000049029754,0.000006262139,0.000028634815,0.00007275651,0.000061212406],"domain_scores_gemma":[0.9996039,0.00001692116,0.000043314823,0.000009997043,0.00027046452,0.000055427456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012380106,0.00027796737,0.00016122557,0.0011816534,0.0011657326,0.0007284102,0.0005413879,0.00022596032,0.0013467015],"category_scores_gemma":[0.00044073147,0.00016557555,0.00015246957,0.0025434205,0.00039808042,0.00018006457,0.00044998107,0.0001809796,0.00027313305],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013106289,0.000060615894,0.8948904,0.00023023036,0.000050350205,0.0008085874,0.004173323,0.005715648,0.021146351,0.0004070308,0.0037103293,0.068676144],"study_design_scores_gemma":[0.0000060300436,0.000014088359,0.9894716,0.000027467197,0.000014203609,0.00005185233,0.0035219325,0.002875661,0.0006171853,0.000034303066,0.0033533568,0.0000123737545],"about_ca_topic_score_codex":0.9906058,"about_ca_topic_score_gemma":0.99734986,"teacher_disagreement_score":0.009394228,"about_ca_system_score_codex":0.008991906,"about_ca_system_score_gemma":0.012826496,"threshold_uncertainty_score":0.06524122},"labels":[],"label_agreement":null},{"id":"W4408484463","doi":"10.5194/egusphere-egu25-20337","title":"Geophysical Multimethod Joint Analysis for Assessing Multi-Layer Covers on Mine Tailings at Two Different Scales","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue; Polytechnique Montréal; GDG Environnement; École de Technologie Supérieure","funders":"","keywords":"Tailings; Joint (building); Geology; Layer (electronics); Tailings dam; Geophysics; Environmental science; Mining engineering; Engineering; Civil engineering; Materials science","score_opus":0.06928462610384635,"score_gpt":0.36692204322955485,"score_spread":0.2976374171257085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408484463","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6109319,0.00024746454,0.38578165,0.00015244998,0.000040657378,0.00009184082,0.0004369146,0.00055087206,0.0017663479],"genre_scores_gemma":[0.84283984,0.0001680425,0.15538228,0.000052981355,0.000022757571,0.00007218236,0.0005247339,0.000065933535,0.0008712391],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99975914,0.00005717332,0.000012913576,0.00005771292,0.000075430355,0.00003771009],"domain_scores_gemma":[0.9995989,0.00012246569,0.00006649003,0.00006704361,0.0001139437,0.00003116242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006576142,0.0005230104,0.00043520637,0.0011557323,0.00020535887,0.00088971836,0.00047882073,0.0005278325,0.0006344362],"category_scores_gemma":[0.0011018456,0.00024265978,0.00074628176,0.00091963954,0.0002722553,0.0008569068,0.000985556,0.00043302675,0.00017569934],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042115507,0.00049216795,0.10570745,0.00028825048,0.00056285714,0.00039857626,0.0006014885,0.4469029,0.11113184,0.0031820196,0.001317434,0.32899386],"study_design_scores_gemma":[0.000011477033,0.0000677748,0.02086598,0.000011478259,0.00003866984,0.000056093595,0.00017842904,0.97011316,0.006678913,0.0012410828,0.000714438,0.000022579465],"about_ca_topic_score_codex":0.0023220994,"about_ca_topic_score_gemma":0.004330725,"teacher_disagreement_score":0.0023220994,"about_ca_system_score_codex":0.00024185554,"about_ca_system_score_gemma":0.00040389487,"threshold_uncertainty_score":0.004617095},"labels":[],"label_agreement":null},{"id":"W4408662785","doi":"10.1016/j.eqrea.2025.100374","title":"FilterNet: A CNN-RNN based filter model used for raw tunnel lining GPR data","year":2025,"lang":"en","type":"article","venue":"Earthquake research advances","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China; China Railway; Canada Research Coordinating Committee","keywords":"Ground-penetrating radar; Computer science; Raw data; Filter (signal processing); Artificial intelligence; Geology; Computer vision; Radar; Telecommunications","score_opus":0.1814132689841172,"score_gpt":0.448219619043783,"score_spread":0.2668063500596658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408662785","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06200671,0.0009191401,0.9229084,0.00026894288,0.00028152682,0.000114575094,0.001029475,0.008488886,0.003982404],"genre_scores_gemma":[0.7124106,0.0011265986,0.26102322,0.00042344048,0.0000976751,0.00031550153,0.0038754963,0.00040059624,0.020326884],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998516,0.000010507587,0.000009887311,0.0000586207,0.000042835785,0.000026568368],"domain_scores_gemma":[0.99984765,0.000034167202,0.000017055168,0.00001515773,0.00007787852,0.000008151941],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004037928,0.0009291468,0.0005247064,0.00056384294,0.0002961352,0.0006056799,0.0010416603,0.0008524184,0.0030873842],"category_scores_gemma":[0.0006634507,0.000325672,0.0007848615,0.00045177052,0.00022867798,0.0009824137,0.00027757618,0.0006492711,0.0009000902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045112363,0.00014183171,0.0034920026,0.0001845864,0.00028397524,0.0002263397,0.000060975177,0.60274404,0.031811357,0.0028892295,0.008379647,0.349335],"study_design_scores_gemma":[0.0000073024385,0.00005910411,0.000387864,0.0000055612068,0.000022948789,0.000033347642,0.0000043078435,0.99142706,0.006062321,0.00035434053,0.0016267085,0.00000918289],"about_ca_topic_score_codex":0.029568452,"about_ca_topic_score_gemma":0.02628289,"teacher_disagreement_score":0.029568452,"about_ca_system_score_codex":0.0011013163,"about_ca_system_score_gemma":0.0009948697,"threshold_uncertainty_score":0.05879271},"labels":[],"label_agreement":null},{"id":"W4409051257","doi":"10.1038/s41598-025-91198-3","title":"A damage zone detection method in concrete hydraulic structures based on multi-frequency ultrasonic characteristics","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geomechanica (Canada)","funders":"National Natural Science Foundation of China","keywords":"Ultrasonic sensor; Computer science; Acoustics; Physics","score_opus":0.011318561498900703,"score_gpt":0.27947708982395736,"score_spread":0.26815852832505666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409051257","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.066274725,0.0002495446,0.93167305,0.000050919494,0.00003577748,0.000056617453,0.000027614573,0.00063450955,0.0009971736],"genre_scores_gemma":[0.60013145,0.00041096396,0.3967415,0.000046709847,0.00004184792,0.00009689781,0.00007704015,0.000036460464,0.0024171413],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996593,0.00004497299,0.000016099635,0.00010502586,0.00015085033,0.000023705883],"domain_scores_gemma":[0.9996587,0.000076451564,0.000050599003,0.00004907063,0.00014114045,0.000024010891],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033566757,0.00046095598,0.00043830706,0.000981149,0.00020455626,0.00035835482,0.00047271268,0.0006237205,0.00062247075],"category_scores_gemma":[0.0006983964,0.00030654832,0.00039051133,0.00044561157,0.00028620719,0.001142369,0.0004640049,0.00039711274,0.00033281837],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016269222,0.00008024247,0.0031373075,0.0002612049,0.000040320527,0.00014478415,0.000270225,0.016594402,0.3967611,0.0022928135,0.0006847472,0.5795701],"study_design_scores_gemma":[0.00003950021,0.0005358492,0.011817076,0.000032335724,0.00011214361,0.0010927342,0.00017177625,0.76837176,0.21116783,0.0013192699,0.005202232,0.00013751289],"about_ca_topic_score_codex":0.0009584448,"about_ca_topic_score_gemma":0.0011142333,"teacher_disagreement_score":0.000981149,"about_ca_system_score_codex":0.00021909688,"about_ca_system_score_gemma":0.00031012643,"threshold_uncertainty_score":0.0020824075},"labels":[],"label_agreement":null},{"id":"W4409294987","doi":"10.1088/1742-6596/2991/1/012008","title":"A dynamic STC attenuation strategy based on environmental perception","year":2025,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Attenuation; Environmental science; Computer science; Physics; Optics","score_opus":0.013222883386580224,"score_gpt":0.25715162452523604,"score_spread":0.2439287411386558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409294987","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20960349,0.00025026486,0.77824163,0.00013649174,0.000050375635,0.00009176329,0.000023754883,0.00090084213,0.010701403],"genre_scores_gemma":[0.9657923,0.00005049,0.032921925,0.00005022385,0.000016423592,0.000026313923,0.000026667021,0.000033730343,0.0010820568],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994778,0.00007045877,0.000022707842,0.000107024985,0.00022853694,0.00009350371],"domain_scores_gemma":[0.9989814,0.00022221442,0.00014871042,0.00009829852,0.00047940123,0.00006983251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041527124,0.00086606643,0.00031148473,0.0008326866,0.0004132186,0.00075456203,0.0007041087,0.0003652016,0.0014752405],"category_scores_gemma":[0.0016869417,0.00017683078,0.00019693306,0.00044270605,0.00052229746,0.00068004633,0.00072087237,0.0004015995,0.00033998452],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066152174,0.00047198305,0.0032946083,0.00013340416,0.00006400481,0.0002972034,0.00037990804,0.3384849,0.26208815,0.009468166,0.0013810867,0.38327503],"study_design_scores_gemma":[0.000029073117,0.0005092707,0.0021777395,0.000017672408,0.000043405656,0.00014948519,0.00007420627,0.9488195,0.044784628,0.0017957891,0.0015666422,0.000032599557],"about_ca_topic_score_codex":0.0023798316,"about_ca_topic_score_gemma":0.001528625,"teacher_disagreement_score":0.0023798316,"about_ca_system_score_codex":0.0003683197,"about_ca_system_score_gemma":0.00057249446,"threshold_uncertainty_score":0.004935205},"labels":[],"label_agreement":null},{"id":"W4409337664","doi":"10.1007/s40948-025-00958-y","title":"Efficient base metal exploration in northern New Brunswick, Canada through a hybrid ANN integrated with ABC and PSO methods","year":2025,"lang":"en","type":"article","venue":"Geomechanics and Geophysics for Geo-Energy and Geo-Resources","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Hohai University; University of Toronto","keywords":"Base (topology); Base metal; Artificial intelligence; Operations research; Engineering; Computer science; Mathematics; Mechanical engineering","score_opus":0.007911373287630401,"score_gpt":0.22756557104580966,"score_spread":0.21965419775817926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409337664","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81831175,0.0007494065,0.15123306,0.00078903,0.000051137573,0.00014321099,0.0009077284,0.0006187508,0.02719587],"genre_scores_gemma":[0.96029633,0.00020460796,0.03377853,0.000048715123,0.0000032222797,0.000028147753,0.00024941654,0.000021284131,0.005369717],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999105,0.000009270983,0.000004633094,0.000023473882,0.000027271035,0.000024770956],"domain_scores_gemma":[0.9999162,0.000017339815,0.000008773171,0.0000035678254,0.000046155266,0.000007926641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019165777,0.0005220253,0.00023553206,0.0005846911,0.00044729176,0.000790503,0.0006476862,0.00033078884,0.0007428558],"category_scores_gemma":[0.0004266585,0.0002224452,0.00022584274,0.0006678174,0.00023473061,0.00029927862,0.00035142837,0.00022169248,0.00012764824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004366883,0.000030179357,0.015869204,0.000032188196,0.000027394419,0.000120517965,0.000041071256,0.92389286,0.0020661133,0.000811185,0.00077723735,0.056288328],"study_design_scores_gemma":[0.0000048979236,0.0000074029613,0.0024327978,0.0000047984,0.000006689039,0.000008157575,0.000049812003,0.99617237,0.0005414568,0.00020379748,0.0005628083,0.0000050565336],"about_ca_topic_score_codex":0.814101,"about_ca_topic_score_gemma":0.8848247,"teacher_disagreement_score":0.18589902,"about_ca_system_score_codex":0.0040222965,"about_ca_system_score_gemma":0.0051564495,"threshold_uncertainty_score":0.37398762},"labels":[],"label_agreement":null},{"id":"W4409360252","doi":"10.1139/cgj-2024-0653","title":"Grading model for fine soil classification using cone penetration testing","year":2025,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Geotechnical engineering; Grading (engineering); Cone penetration test; Soil water; Penetration test; Geology; Penetration (warfare); Engineering; Forensic engineering; Soil science; Civil engineering; Operations research; Subgrade","score_opus":0.07999336739975751,"score_gpt":0.2996555495635525,"score_spread":0.219662182163795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409360252","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14821066,0.00010336553,0.843736,0.00005832856,0.000021101301,0.00016106428,0.00028695705,0.0014130691,0.0060094595],"genre_scores_gemma":[0.96134514,0.00009231261,0.0350315,0.000020263215,0.0000041853923,0.000091049216,0.0002217273,0.00005738395,0.0031364295],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996952,0.00003395431,0.00001820955,0.000091987546,0.00011483332,0.000045771118],"domain_scores_gemma":[0.99947864,0.00012705228,0.00008625316,0.00005106687,0.00023174433,0.00002521819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046056113,0.0008113041,0.00039908697,0.000890597,0.0002519541,0.00077314914,0.0012085807,0.0006675139,0.0018603764],"category_scores_gemma":[0.001477037,0.00022088524,0.00057816313,0.00062372675,0.00030133603,0.0007715236,0.0003589535,0.00038792813,0.00061680167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000099072065,0.0000922837,0.00827058,0.0000725337,0.000015323836,0.00019567634,0.0001237296,0.8971046,0.02467128,0.0028670065,0.0006567789,0.0658312],"study_design_scores_gemma":[0.0000012821798,0.000017914634,0.0007705948,0.0000031926406,0.000003143761,0.000021463267,0.000006654155,0.99731714,0.0012607838,0.00041088279,0.00018176605,0.000005267521],"about_ca_topic_score_codex":0.014678434,"about_ca_topic_score_gemma":0.0109574525,"teacher_disagreement_score":0.014678434,"about_ca_system_score_codex":0.0008708407,"about_ca_system_score_gemma":0.0005631888,"threshold_uncertainty_score":0.02918595},"labels":[],"label_agreement":null},{"id":"W4409555806","doi":"10.5006/c2006-06163","title":"Cathodic Protection of Pipelines in High Resistivity Soils and the Effect of Seasonal Changes","year":2006,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Union Gas (Canada); Nova Chemicals (Canada)","funders":"","keywords":"Cathodic protection; Electrical resistivity and conductivity; Pipeline transport; Soil resistivity; Soil water; Materials science; Corrosion; Environmental science; Metallurgy; Soil science; Environmental engineering; Electrochemistry; Electrical engineering; Chemistry; Engineering; Electrode","score_opus":0.006476259370577936,"score_gpt":0.22362102098654954,"score_spread":0.2171447616159716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409555806","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99882156,0.00006352226,0.0007704012,0.0000111567515,0.0000014776778,0.0000038769413,0.000032107626,0.000010949186,0.00028489044],"genre_scores_gemma":[0.9994085,0.00003207901,0.00037913732,0.000005341563,6.820216e-7,0.0000014507243,0.00002749917,0.0000024772678,0.00014283555],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99980885,0.000040850777,0.000008393815,0.000029919265,0.00006978238,0.00004237455],"domain_scores_gemma":[0.9993248,0.000175875,0.00016963392,0.000047083624,0.0002243415,0.00005830343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002494201,0.00014927454,0.00017434456,0.00020051087,0.000183817,0.00029097724,0.00017276402,0.00016520669,0.00047457463],"category_scores_gemma":[0.000738507,0.000108565444,0.000115146846,0.00023170364,0.0002263709,0.00020702305,0.00019429336,0.00016278033,0.000075927856],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004563903,0.000055974207,0.033665657,0.00007498882,0.000026912176,0.00015327334,0.00016979489,0.0021938994,0.95124596,0.00004774464,0.00008649503,0.011822966],"study_design_scores_gemma":[0.000014757193,0.0016849178,0.3605968,0.000014595675,0.000041433217,0.000389968,0.00043798028,0.011855075,0.6236698,0.00009044429,0.0011876401,0.000016656531],"about_ca_topic_score_codex":0.008359304,"about_ca_topic_score_gemma":0.012469449,"teacher_disagreement_score":0.008359304,"about_ca_system_score_codex":0.00030446405,"about_ca_system_score_gemma":0.00021783811,"threshold_uncertainty_score":0.016621292},"labels":[],"label_agreement":null},{"id":"W4409698632","doi":"10.5592/co/3crocee.2025.94","title":"ANALYTICAL AND NUMERICAL INVESTIGATION OF THE SITE RESPONSE PERIOD IN THE SAGUENAY REGION, EASTERN CANADA","year":2025,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Period (music); Geology; Environmental science; Physics","score_opus":0.011538111690668611,"score_gpt":0.23385309216678365,"score_spread":0.22231498047611503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409698632","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99789065,0.00008950852,0.00028046162,0.000031710217,0.0000025602674,0.000009673357,0.00030658089,0.000020541931,0.0013682042],"genre_scores_gemma":[0.99875295,0.00006623228,0.0004625721,0.0000050263397,8.6535135e-7,0.000005085041,0.0001552907,0.0000042399874,0.00054782047],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988747,0.000010199219,0.0000050859735,0.000023020819,0.00001979017,0.000054382323],"domain_scores_gemma":[0.999705,0.00008530696,0.00003806782,0.000012428998,0.00010929631,0.000049921568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016818463,0.0002455574,0.00021253081,0.0008841753,0.000852366,0.0007774193,0.00089245697,0.00052043464,0.0012461375],"category_scores_gemma":[0.00085907825,0.00026131538,0.0002607191,0.0014282389,0.0005692605,0.00023506454,0.0002856252,0.00026766164,0.00008660834],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021694097,0.0002513101,0.38040134,0.00016920874,0.000076541095,0.001321174,0.0006425965,0.5859757,0.0059312326,0.002632335,0.0016256818,0.020755934],"study_design_scores_gemma":[0.0000385097,0.00004312101,0.15094633,0.000021939219,0.000037281625,0.00011109886,0.0012646767,0.8454884,0.00077464484,0.00023175517,0.0010047889,0.000037376107],"about_ca_topic_score_codex":0.9589328,"about_ca_topic_score_gemma":0.9619289,"teacher_disagreement_score":0.041067183,"about_ca_system_score_codex":0.007425388,"about_ca_system_score_gemma":0.005541704,"threshold_uncertainty_score":0.082618},"labels":[],"label_agreement":null},{"id":"W4409758673","doi":"10.1007/s00603-025-04578-6","title":"Analysis of In-Situ Dynamic Ground Support Test Results with Insights Revealed by Time-Dependent Terms of Power and Strain Rate","year":2025,"lang":"en","type":"article","venue":"Rock Mechanics and Rock Engineering","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"In situ; Strain (injury); Strain rate; Power (physics); Geotechnical engineering; Structural engineering; Geology; Engineering; Materials science; Physics; Composite material; Biology; Thermodynamics; Meteorology","score_opus":0.002795550450463772,"score_gpt":0.2009077775913744,"score_spread":0.19811222714091062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409758673","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916392,0.00002106605,0.0062619983,0.000013597943,0.0000057393495,0.000012661882,0.00022245165,0.00009234563,0.0017309004],"genre_scores_gemma":[0.9983535,0.000015758234,0.0009338681,0.0000042482548,0.0000017982599,0.0000063726857,0.00010264563,0.000014565315,0.0005673316],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99971956,0.000035173733,0.000019279276,0.00004142463,0.00014949255,0.000035118996],"domain_scores_gemma":[0.99888927,0.00041657448,0.000146533,0.000099844045,0.00039668943,0.000051112736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030662434,0.00041855063,0.00023374772,0.0010811724,0.00021744924,0.00029976922,0.00043250818,0.0004074622,0.0021941639],"category_scores_gemma":[0.0010942532,0.00014319035,0.00020501432,0.0007910207,0.00031109355,0.000323103,0.00017800496,0.00029614565,0.00035374673],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009291205,0.00045249262,0.049337063,0.00020518857,0.000058721223,0.0009095698,0.00067934534,0.018394208,0.89357656,0.00027344664,0.00040085372,0.034783497],"study_design_scores_gemma":[0.000027831704,0.0022613686,0.24745978,0.000028548397,0.00008627712,0.0009985331,0.0014320851,0.094626024,0.6512118,0.00025678187,0.0015486061,0.000062348714],"about_ca_topic_score_codex":0.0013675179,"about_ca_topic_score_gemma":0.0028130314,"teacher_disagreement_score":0.0021941639,"about_ca_system_score_codex":0.00019644995,"about_ca_system_score_gemma":0.00008708844,"threshold_uncertainty_score":0.007340193},"labels":[],"label_agreement":null},{"id":"W4410283412","doi":"10.18280/ijsse.150315","title":"Parallel and GPU-Based Optimization of XGBoost and Neural Networks for Effective Landmine Classification","year":2025,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Department of Artificial Intelligence, Korea University; Universiti Teknikal Malaysia Melaka; Lviv Polytechnic National University","keywords":"Computer science; Artificial neural network; Artificial intelligence","score_opus":0.005949346270943897,"score_gpt":0.2458605087547164,"score_spread":0.2399111624837725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410283412","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06046196,0.0005853775,0.9318448,0.00025214764,0.00017114091,0.000079067126,0.000052168853,0.0022828877,0.004270517],"genre_scores_gemma":[0.6169064,0.00023839482,0.3779694,0.00020319203,0.00006918933,0.00020614063,0.00019317128,0.00026318635,0.003950912],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996953,0.0000705164,0.000014034824,0.000058330665,0.0000983666,0.000063470354],"domain_scores_gemma":[0.99971515,0.000101374935,0.000032886866,0.00002944181,0.000098447774,0.000022679767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007429779,0.0009252112,0.001002405,0.0006197034,0.00038010586,0.0006447352,0.0011952262,0.0008940375,0.0016621677],"category_scores_gemma":[0.0013528332,0.00046606106,0.00062355946,0.000710052,0.0005010386,0.00066350226,0.0005963314,0.00092661433,0.0004014225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014229515,0.000079660495,0.00078068447,0.00004885019,0.000039665374,0.000041355037,0.00002560818,0.91284555,0.0035481716,0.0018314255,0.0014678864,0.07914881],"study_design_scores_gemma":[0.0000030213296,0.000005499797,0.0000475173,0.0000010053428,0.0000014487307,0.0000027230697,0.0000012576015,0.9993656,0.000244964,0.00021107151,0.00011487628,0.0000010586532],"about_ca_topic_score_codex":0.011507726,"about_ca_topic_score_gemma":0.012544241,"teacher_disagreement_score":0.011507726,"about_ca_system_score_codex":0.0008813436,"about_ca_system_score_gemma":0.0014089698,"threshold_uncertainty_score":0.022881448},"labels":[],"label_agreement":null},{"id":"W4410339540","doi":"10.1007/s00603-025-04605-6","title":"Quantitative Optimization of Sensor Positions in Laboratory Acoustic Emission Experiments","year":2025,"lang":"en","type":"article","venue":"Rock Mechanics and Rock Engineering","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Acoustic emission; Acoustics; Geology; Environmental science; Physics","score_opus":0.00830758706730008,"score_gpt":0.2560759892947721,"score_spread":0.247768402227472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410339540","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17540947,0.00025634893,0.8202873,0.000146462,0.000030620977,0.00005797578,0.00015837903,0.0011114993,0.002541955],"genre_scores_gemma":[0.8204762,0.000114376635,0.1781942,0.000027015947,0.000009089305,0.00008988876,0.00010438272,0.00022037275,0.00076447934],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99936265,0.00022027013,0.000024495685,0.000131546,0.0002053357,0.000055593144],"domain_scores_gemma":[0.9982455,0.0011072432,0.00020283766,0.00020290246,0.00020981119,0.000031652835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010306761,0.0008470753,0.0005542059,0.00027353983,0.00025834882,0.0006585619,0.0005655964,0.00062310195,0.0014484044],"category_scores_gemma":[0.0035211507,0.00044733676,0.00021504045,0.00035523638,0.00044650625,0.00078434596,0.00061663263,0.0005188823,0.0005157939],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057875,0.00023808889,0.0013958394,0.00028957555,0.00003086877,0.000048273047,0.000076059405,0.59569824,0.30542076,0.002976875,0.00052019715,0.09272639],"study_design_scores_gemma":[0.00004627725,0.00028419824,0.001589628,0.000011095508,0.000015038314,0.000032765136,0.000032650445,0.83393896,0.16210487,0.0011083252,0.0008100148,0.000026200163],"about_ca_topic_score_codex":0.00066676777,"about_ca_topic_score_gemma":0.0010648643,"teacher_disagreement_score":0.0014484044,"about_ca_system_score_codex":0.00049716845,"about_ca_system_score_gemma":0.0006897946,"threshold_uncertainty_score":0.005450785},"labels":[],"label_agreement":null},{"id":"W4411114587","doi":"10.1016/j.jappgeo.2025.105809","title":"Enhanced characterization of rock mass discontinuities using integrated acoustic and electrical logging with nonlinear prediction models","year":2025,"lang":"en","type":"article","venue":"Journal of Applied Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Classification of discontinuities; Logging; Nonlinear system; Characterization (materials science); Rock mass classification; Geology; Acoustics; Materials science; Geotechnical engineering; Physics; Mathematics; Nanotechnology; Geography","score_opus":0.0068136596158910765,"score_gpt":0.21397665756579612,"score_spread":0.20716299794990503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411114587","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6326543,0.00015378461,0.36465806,0.00007482194,0.000022727618,0.000026194504,0.0001848057,0.00059934636,0.0016260941],"genre_scores_gemma":[0.9768971,0.000048633054,0.022374295,0.000007559302,0.0000050681297,0.000008319579,0.000105434505,0.000021347352,0.00053220126],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99992144,0.0000111142945,0.0000046192736,0.000018673994,0.000033007345,0.000011098935],"domain_scores_gemma":[0.9996648,0.00013054108,0.00004992527,0.000041010506,0.00010131107,0.0000124187345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019506722,0.00037955024,0.00024413108,0.00042757255,0.00011684277,0.0004879508,0.00039781543,0.00039581847,0.00069779134],"category_scores_gemma":[0.0007186558,0.00016129737,0.0001688819,0.00027920346,0.00017873716,0.00071960734,0.0003832147,0.00035933268,0.0001992308],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008374878,0.0004746022,0.037379827,0.00020354193,0.00007971258,0.00038339183,0.0001784301,0.38685885,0.32646468,0.0017685919,0.00057140086,0.24479948],"study_design_scores_gemma":[0.0000063015536,0.000027286325,0.004313005,0.000004164719,0.000009993815,0.000037588034,0.000018600098,0.983603,0.011604882,0.00024270431,0.0001249753,0.0000075161083],"about_ca_topic_score_codex":0.0015473355,"about_ca_topic_score_gemma":0.0032402049,"teacher_disagreement_score":0.0015473355,"about_ca_system_score_codex":0.00011333495,"about_ca_system_score_gemma":0.00026573273,"threshold_uncertainty_score":0.0030766726},"labels":[],"label_agreement":null},{"id":"W4411143070","doi":"10.1016/j.jag.2025.104615","title":"RADARSAT constellation mission compact polarisation SAR data for burned area mapping with deep learning","year":2025,"lang":"en","type":"article","venue":"International Journal of Applied Earth Observation and Geoinformation","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Svenska Forskningsrådet Formas; Skogs- och Jordbrukets Forskningsråd","keywords":"Constellation; Remote sensing; Geography; Cartography; Environmental science; Astronomy; Physics","score_opus":0.036346332517618284,"score_gpt":0.27300352994138044,"score_spread":0.23665719742376215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411143070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61939883,0.0062347585,0.114612855,0.0024688973,0.0010537207,0.00079342676,0.19420221,0.03248763,0.028747665],"genre_scores_gemma":[0.5567564,0.001454066,0.07175559,0.0005010904,0.00009728827,0.00022084838,0.3574198,0.0005934747,0.011201395],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9996383,0.00002051769,0.000012654524,0.00008230393,0.00015633578,0.000089836896],"domain_scores_gemma":[0.9996723,0.000029339895,0.000022485941,0.00007101309,0.00017487728,0.000029965433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035597067,0.0013192961,0.00044670526,0.0011861868,0.00040953272,0.00057890004,0.0013375883,0.00057003717,0.0035031906],"category_scores_gemma":[0.0011351682,0.0002698607,0.00075858936,0.0014830825,0.00034823208,0.000633843,0.00078755565,0.0013792464,0.002121392],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00081258576,0.00083806104,0.034659993,0.00064325624,0.00046137054,0.0006144756,0.00019820225,0.1817372,0.027138624,0.0017788293,0.23093821,0.5201792],"study_design_scores_gemma":[0.0001473309,0.00021220403,0.049827695,0.00017497294,0.0001498874,0.00024761868,0.0003914324,0.8578024,0.02983461,0.0030125766,0.058087148,0.000112204616],"about_ca_topic_score_codex":0.21582446,"about_ca_topic_score_gemma":0.2827034,"teacher_disagreement_score":0.21582446,"about_ca_system_score_codex":0.001520971,"about_ca_system_score_gemma":0.0027385943,"threshold_uncertainty_score":0.42913646},"labels":[],"label_agreement":null},{"id":"W4411255624","doi":"10.1016/j.conbuildmat.2025.142188","title":"Machine-learning-based crack mode classification in plain concrete considering acoustic emission wave propagation effects","year":2025,"lang":"en","type":"article","venue":"Construction and Building Materials","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Hydro-Québec; Université de Sherbrooke","keywords":"Acoustic emission; Mode (computer interface); Acoustics; Materials science; Structural engineering; Computer science; Engineering; Physics","score_opus":0.011754404591998367,"score_gpt":0.25818770674533276,"score_spread":0.2464333021533344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411255624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6549135,0.0002160636,0.34334707,0.000111210466,0.000032795782,0.00002389161,0.00005653346,0.00025938143,0.0010395888],"genre_scores_gemma":[0.97481334,0.00006104636,0.024249386,0.000010509793,0.000012107434,0.000009787007,0.00007759195,0.000010341084,0.00075597345],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998746,0.000025316996,0.00000840244,0.000036169353,0.000030119149,0.000025368017],"domain_scores_gemma":[0.99907,0.00052466814,0.000101080026,0.00005901042,0.00020494303,0.00004026311],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000551086,0.00033316948,0.00041572138,0.00048242853,0.00018052683,0.00038393083,0.00041477432,0.0006511891,0.00058863993],"category_scores_gemma":[0.0011701187,0.00020095818,0.0004136277,0.00027580163,0.00030909094,0.0005386719,0.00028575514,0.00036151992,0.00015179372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042671207,0.00020325762,0.011440074,0.00008588774,0.000048866008,0.00015358617,0.00007406147,0.8003314,0.025229432,0.0014415982,0.00061673473,0.15994842],"study_design_scores_gemma":[8.183439e-7,0.0000050075455,0.00044065525,6.958567e-7,0.0000017346429,0.0000032256617,0.0000026240502,0.9991216,0.00031700396,0.000093906216,0.000011521492,0.0000011861193],"about_ca_topic_score_codex":0.003307683,"about_ca_topic_score_gemma":0.0035088297,"teacher_disagreement_score":0.003307683,"about_ca_system_score_codex":0.00022815616,"about_ca_system_score_gemma":0.000409054,"threshold_uncertainty_score":0.006576836},"labels":[],"label_agreement":null},{"id":"W4412086110","doi":"10.1016/j.jconhyd.2025.104672","title":"Harnessing deep learning for fusion-based heavy metal contamination index prediction in groundwater","year":2025,"lang":"en","type":"article","venue":"Journal of Contaminant Hydrology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Groundwater; Environmental science; Contamination; Index (typography); Contaminated groundwater; Geology; Environmental remediation; Computer science; Geotechnical engineering; Ecology","score_opus":0.007874952239483606,"score_gpt":0.25534659249752195,"score_spread":0.24747164025803833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412086110","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40674376,0.0013098861,0.5853358,0.00061977585,0.00017746835,0.00003470315,0.00066682044,0.0019263392,0.003185547],"genre_scores_gemma":[0.97254914,0.00025526716,0.025502354,0.00010037033,0.000047998463,0.00001626964,0.000446828,0.000021495927,0.001060206],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999864,0.000017920825,0.0000070570172,0.000041346462,0.000035933805,0.000033810684],"domain_scores_gemma":[0.99976844,0.00008495132,0.000029039806,0.000022907445,0.00007638808,0.00001820248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038641025,0.0005769578,0.00063980214,0.00060507574,0.00020798422,0.0005455423,0.0006094978,0.0006373701,0.0006620258],"category_scores_gemma":[0.00077288947,0.00024247082,0.0005641639,0.00062258256,0.00025834612,0.00085338723,0.0009141589,0.00071672606,0.00031253684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053168234,0.00045943548,0.018406006,0.00014596939,0.00024456068,0.0001818284,0.00009655876,0.55757874,0.049726468,0.002448852,0.0035197954,0.36666015],"study_design_scores_gemma":[0.0000028991549,0.000021785487,0.00074387406,0.0000021290884,0.000010330501,0.0000075286403,0.0000054482052,0.9955466,0.002628755,0.0008801302,0.00014575447,0.0000047105073],"about_ca_topic_score_codex":0.0049419347,"about_ca_topic_score_gemma":0.005992153,"teacher_disagreement_score":0.0049419347,"about_ca_system_score_codex":0.00032925815,"about_ca_system_score_gemma":0.0005242924,"threshold_uncertainty_score":0.009826362},"labels":[],"label_agreement":null},{"id":"W4412562202","doi":"10.1016/j.jenvrad.2025.107750","title":"Deep geological repositories — A review of design concepts, near-field evolution, and their implications for nuclear waste containment","year":2025,"lang":"en","type":"review","venue":"Journal of Environmental Radioactivity","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Systems Engineering Research Center","keywords":"Containment (computer programming); Radioactive waste; Field (mathematics); Earth science; Environmental science; Geology; Waste management; Computer science; Engineering","score_opus":0.0199393607530175,"score_gpt":0.29097114437272087,"score_spread":0.27103178361970337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412562202","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014542242,0.9912354,0.0027447483,0.00040438652,0.00023782486,0.000022822358,0.0000805933,0.000028470411,0.00379163],"genre_scores_gemma":[0.005349779,0.9905129,0.0023046785,0.00020148612,0.00012946903,0.000025509651,0.00006815489,0.000012552884,0.0013954195],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993844,0.00008672895,0.00009972182,0.00011936027,0.00026531765,0.000044426055],"domain_scores_gemma":[0.9993167,0.0003298001,0.0001067065,0.000033342283,0.00018372058,0.000029705765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009593479,0.0010784524,0.0011900436,0.0025925399,0.00045969288,0.0020375224,0.0011398379,0.0014978645,0.003057135],"category_scores_gemma":[0.0010288743,0.0006409871,0.00084704586,0.0029130464,0.00092201325,0.0027314175,0.00085513643,0.0011571496,0.0013472718],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006815126,0.0001326806,0.0007833125,0.04499068,0.00010803111,0.00032484016,0.00039958576,0.00554544,0.013775754,0.036406353,0.015727267,0.8817379],"study_design_scores_gemma":[0.00000655074,0.000255679,0.0008759629,0.00485012,0.000107098225,0.000906536,0.00022825821,0.0007539456,0.0037271942,0.0056060557,0.9826314,0.000051186296],"about_ca_topic_score_codex":0.0019743924,"about_ca_topic_score_gemma":0.0025274663,"teacher_disagreement_score":0.003057135,"about_ca_system_score_codex":0.0009690427,"about_ca_system_score_gemma":0.0015889003,"threshold_uncertainty_score":0.010227084},"labels":[],"label_agreement":null},{"id":"W4412758341","doi":"10.1039/d5va00121h","title":"Pore-water electrical conductivity assessment: an integrated ground-penetrating radar–electromagnetic induction approach","year":2025,"lang":"en","type":"article","venue":"Environmental Science Advances","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Department of Industry, Energy and Technology; Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland","keywords":"Ground-penetrating radar; Electromagnetic induction; Radar; Remote sensing; Conductivity; Electrical resistivity and conductivity; Environmental science; Geology; Materials science; Engineering; Physics; Electrical engineering; Aerospace engineering","score_opus":0.00831423584987548,"score_gpt":0.26552257085262376,"score_spread":0.25720833500274826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412758341","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.085533366,0.0007749265,0.90956205,0.00009105747,0.000023043165,0.00013473975,0.00014051315,0.0008440209,0.0028961722],"genre_scores_gemma":[0.7170224,0.0015080918,0.27843288,0.00010698731,0.000035895126,0.00012945836,0.00029805352,0.000091400674,0.002374831],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995715,0.00006865021,0.00001736766,0.00009342787,0.00021228293,0.000036670543],"domain_scores_gemma":[0.9997621,0.00006331402,0.000037389742,0.000025111285,0.00009758018,0.000014482022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005431041,0.00083335734,0.0008472807,0.0012352985,0.00012365512,0.0010309927,0.0007109234,0.0008589006,0.00066897774],"category_scores_gemma":[0.0008624184,0.00048548914,0.00047471307,0.00095013046,0.0003648747,0.0017243557,0.0011817158,0.00060715544,0.00058690854],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026889198,0.00029707083,0.0060122716,0.0004624831,0.00012823782,0.00021673934,0.00011445556,0.059913117,0.6666738,0.001646709,0.00047592953,0.2637903],"study_design_scores_gemma":[0.00005318495,0.00044713562,0.009772559,0.00005022999,0.00019251065,0.00050092454,0.0001321642,0.79911536,0.18351465,0.0033869941,0.002754787,0.00007946595],"about_ca_topic_score_codex":0.00048162584,"about_ca_topic_score_gemma":0.00072711956,"teacher_disagreement_score":0.0012352985,"about_ca_system_score_codex":0.00023476037,"about_ca_system_score_gemma":0.00037342985,"threshold_uncertainty_score":0.0028722286},"labels":[],"label_agreement":null},{"id":"W4412910020","doi":"10.1093/mam/ozaf048.316","title":"Microstructures Causing Structural Instability: Applying Electron Backscatter Diffraction (EBSD) to Samples of Pyrrhotite Oxidation-Induced Concrete Degradation","year":2025,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electron backscatter diffraction; Materials science; Microstructure; Degradation (telecommunications); Instability; Pyrrhotite; Electron diffraction; Diffraction; Metallurgy; Optics; Pyrite; Engineering; Physics; Electronic engineering","score_opus":0.01096857976911945,"score_gpt":0.284309521906616,"score_spread":0.27334094213749655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412910020","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974262,0.00030274477,0.0015939082,0.000010977562,0.0000041409985,0.000030021823,0.0001976884,0.000026100532,0.00040819377],"genre_scores_gemma":[0.9965321,0.00013532156,0.002652381,0.000016465647,0.0000025167847,0.000013489088,0.0001927696,0.0000104300425,0.0004445689],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998041,0.000012283163,0.000018192472,0.00004686174,0.00008903615,0.000029578057],"domain_scores_gemma":[0.99968326,0.000031716445,0.000082675964,0.00003309135,0.00014615063,0.000023193494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026421744,0.00020396631,0.00013302722,0.0006930963,0.00031697072,0.00023208461,0.00015136215,0.00027569802,0.00036621213],"category_scores_gemma":[0.00027454837,0.0002342028,0.00009685405,0.0004776027,0.0004075661,0.00013969095,0.0001668089,0.00019788172,0.00009434001],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052132087,0.00001915856,0.01513143,0.000024317027,0.000006465851,0.00018017646,0.00018792257,0.00021594737,0.98255366,0.00002069167,0.000018193205,0.0015899055],"study_design_scores_gemma":[0.000005782375,0.00027585315,0.42680523,0.000011516396,0.000023669894,0.0011158716,0.00036560727,0.0014246696,0.56894535,0.000029670755,0.000987796,0.000008928628],"about_ca_topic_score_codex":0.008328268,"about_ca_topic_score_gemma":0.02379856,"teacher_disagreement_score":0.008328268,"about_ca_system_score_codex":0.0003933089,"about_ca_system_score_gemma":0.00018105176,"threshold_uncertainty_score":0.016559541},"labels":[],"label_agreement":null},{"id":"W4413020467","doi":"10.1016/j.jhydrol.2025.134023","title":"An integrated InSAR-numerical approach for accurate groundwater head prediction","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Global Institute for Water Security","funders":"Scripps Institution of Oceanography","keywords":"Interferometric synthetic aperture radar; Head (geology); Geology; Groundwater; Remote sensing; Hydrology (agriculture); Geotechnical engineering; Geomorphology; Synthetic aperture radar","score_opus":0.0189119705524658,"score_gpt":0.30287517278725495,"score_spread":0.28396320223478916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413020467","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12813836,0.00023152935,0.8660521,0.00018181857,0.000051659903,0.000047560705,0.00032258694,0.0014007755,0.0035736575],"genre_scores_gemma":[0.8295281,0.00019773426,0.16754697,0.00006671676,0.00003323925,0.000100579855,0.00029229012,0.00007028144,0.002164075],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991596,0.000019948313,0.0000056358044,0.000019408613,0.000027435577,0.000011695546],"domain_scores_gemma":[0.99987626,0.00004564766,0.00001829641,0.000016290556,0.00003408044,0.000009389316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021881025,0.00044801505,0.00041916312,0.00032114156,0.00022444932,0.00048154572,0.0005130788,0.00055642636,0.00086922245],"category_scores_gemma":[0.0005620501,0.00039713774,0.00030552802,0.00032139118,0.00025275504,0.0004895311,0.00048201505,0.00047291553,0.00026413408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018637485,0.000023522229,0.000574239,0.000008777218,0.000014685623,0.000019458796,0.000008119829,0.98404735,0.002271818,0.00073076034,0.00013293387,0.012149675],"study_design_scores_gemma":[7.96007e-7,0.0000025416,0.00005387898,3.187937e-7,8.7796997e-7,9.462324e-7,8.44362e-7,0.9996525,0.0001440297,0.00009487173,0.00004753289,9.181122e-7],"about_ca_topic_score_codex":0.010112525,"about_ca_topic_score_gemma":0.012630822,"teacher_disagreement_score":0.010112525,"about_ca_system_score_codex":0.00042092576,"about_ca_system_score_gemma":0.0006900563,"threshold_uncertainty_score":0.020107329},"labels":[],"label_agreement":null},{"id":"W4413135935","doi":"10.1139/cgj-2025-0413","title":"Probabilistic quasi-site-specific CPT-based soil classification","year":2025,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Science and Technology Council","keywords":"Probabilistic logic; Geotechnical engineering; Soil classification; Geology; Environmental science; Soil science; Soil water; Statistics; Mathematics","score_opus":0.020074094324676342,"score_gpt":0.24668734119779118,"score_spread":0.22661324687311485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413135935","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24987976,0.00026789604,0.7381609,0.00024258172,0.00005651196,0.00013838813,0.00570583,0.0013182848,0.0042298813],"genre_scores_gemma":[0.9120925,0.00017830162,0.075361386,0.00009927274,0.000041580515,0.00013112102,0.009349958,0.00006623537,0.0026796064],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992416,0.00015037946,0.000033181495,0.0002711729,0.0002202504,0.000083430044],"domain_scores_gemma":[0.99872535,0.00042854386,0.00018512698,0.00021213296,0.00038316057,0.000065643195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010323446,0.000515245,0.0005582809,0.0015000635,0.00019657904,0.00067001424,0.0016659533,0.00065917475,0.0018368162],"category_scores_gemma":[0.002875049,0.0003271664,0.0006086424,0.001549908,0.0004289547,0.0013038297,0.00091039255,0.0007443332,0.00079381984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029776967,0.00026328003,0.06114705,0.00017126584,0.00011698444,0.00016542428,0.00012005286,0.6656972,0.0061097676,0.008717976,0.006878092,0.25031513],"study_design_scores_gemma":[0.0000074772024,0.00003127844,0.0075153606,0.000008456699,0.000011071105,0.000054964676,0.000027619188,0.9868954,0.001038532,0.0033923406,0.0010037228,0.00001376286],"about_ca_topic_score_codex":0.01401995,"about_ca_topic_score_gemma":0.024488872,"teacher_disagreement_score":0.01401995,"about_ca_system_score_codex":0.00070122385,"about_ca_system_score_gemma":0.0010308754,"threshold_uncertainty_score":0.027876675},"labels":[],"label_agreement":null},{"id":"W4413170793","doi":"10.32347/2411-4049.2025.2.34-50","title":"Estimation of debris waste generation","year":2025,"lang":"en","type":"article","venue":"Environmental Safety and Natural Resources","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Debris; Environmental science; Geology","score_opus":0.003845443708250482,"score_gpt":0.20633949996890874,"score_spread":0.20249405626065825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413170793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82008,0.006956075,0.114136904,0.000154645,0.00012850779,0.00069501007,0.022213757,0.0012561744,0.034378935],"genre_scores_gemma":[0.9412054,0.0033034103,0.03763736,0.000034410506,0.000028319404,0.00033851978,0.010781476,0.00009387445,0.006577251],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992023,0.00009486021,0.00008045079,0.00014310151,0.00040421012,0.00007518889],"domain_scores_gemma":[0.99900097,0.00023494089,0.00017469203,0.00006374852,0.0004882909,0.000037363196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072869944,0.00087210204,0.0005354961,0.0073886337,0.00048334867,0.0012462337,0.0005742928,0.0005413221,0.0016869475],"category_scores_gemma":[0.0016414274,0.0002859448,0.0008472165,0.004504211,0.00024452055,0.0009961003,0.0007825192,0.00041950593,0.0014933832],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005874569,0.0001926041,0.5151162,0.0018723484,0.00029752246,0.0015186437,0.0013058141,0.12913807,0.02636767,0.0037883846,0.004575656,0.31523958],"study_design_scores_gemma":[0.00003616643,0.00094373495,0.5282217,0.00045711375,0.00045166264,0.002068034,0.0041560372,0.2593386,0.121230856,0.0063985144,0.07639837,0.00029921829],"about_ca_topic_score_codex":0.0056513622,"about_ca_topic_score_gemma":0.0067170314,"teacher_disagreement_score":0.0073886337,"about_ca_system_score_codex":0.0009337331,"about_ca_system_score_gemma":0.00069117855,"threshold_uncertainty_score":0.011236906},"labels":[],"label_agreement":null},{"id":"W4413458634","doi":"10.3997/2214-4609.202520040","title":"Imaging Temporal Changes with Time-Lapse Seismic and GPR Methods – Rybnik Dam Survey","year":2025,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Iridian Spectral Technologies (Canada)","funders":"","keywords":"Ground-penetrating radar; Geology; Geophysical imaging; Remote sensing; Seismology; Computer science; Radar; Telecommunications","score_opus":0.015364044469185517,"score_gpt":0.3061837578306936,"score_spread":0.29081971336150814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413458634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9466599,0.00045739638,0.045566708,0.0001476129,0.00003531079,0.000042566186,0.0029107856,0.0006123323,0.0035674763],"genre_scores_gemma":[0.9588631,0.0003206009,0.036916304,0.000029074452,0.000014395685,0.000038722574,0.002493171,0.0000934096,0.0012312308],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998217,0.000021633381,0.000011323062,0.00004774567,0.00005845393,0.000039151706],"domain_scores_gemma":[0.99980146,0.000022766464,0.00003897939,0.00004907469,0.00006386108,0.000023832987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031434055,0.00032420643,0.00028525185,0.0014718839,0.000111019595,0.00038907977,0.00029058082,0.00033141384,0.0008983775],"category_scores_gemma":[0.00044595663,0.0002451396,0.0002202474,0.0011885014,0.00016805672,0.00039450833,0.0005272163,0.00026832902,0.00060561026],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062489917,0.00029051118,0.20516522,0.00048004382,0.00022403045,0.0014903769,0.0010259645,0.048881873,0.36829576,0.0021023757,0.00785237,0.3635666],"study_design_scores_gemma":[0.000029777124,0.00015992604,0.7849509,0.00007652333,0.0001194166,0.0018374131,0.0009027269,0.16233993,0.03331863,0.00086089986,0.015294717,0.00010920507],"about_ca_topic_score_codex":0.0030258188,"about_ca_topic_score_gemma":0.006434672,"teacher_disagreement_score":0.0030258188,"about_ca_system_score_codex":0.00015487969,"about_ca_system_score_gemma":0.00022612758,"threshold_uncertainty_score":0.0060164332},"labels":[],"label_agreement":null},{"id":"W4413513957","doi":"10.1109/isie62713.2025.11124704","title":"A Novel ARD-GPR Approach for Li-Ion Battery SoH Estimation Using Frequency Response Analysis","year":2025,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Ground-penetrating radar; Battery (electricity); Computer science; Electronic engineering; Engineering; Radar; Physics; Power (physics); Telecommunications","score_opus":0.03300080337954391,"score_gpt":0.31157801044032585,"score_spread":0.27857720706078193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413513957","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008485001,0.00016049836,0.9897793,0.00008092074,0.000034975503,0.000018720213,0.00007073996,0.0005487978,0.0008210344],"genre_scores_gemma":[0.3293621,0.0007725053,0.66360193,0.00022378392,0.00012152055,0.00013575563,0.0006365601,0.00016612076,0.0049797795],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997907,0.000041135852,0.000012915831,0.00005448461,0.000078549776,0.000022242191],"domain_scores_gemma":[0.9997874,0.000071528055,0.000023370705,0.00003287504,0.00007383563,0.00001098694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034058405,0.0006492433,0.0006848945,0.00067128165,0.00020521106,0.0005573489,0.0008017565,0.00077691645,0.0014149057],"category_scores_gemma":[0.0010312088,0.00030200268,0.0006090811,0.00070725096,0.00018505576,0.00069514435,0.0006994422,0.0006893402,0.0012243278],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032144182,0.00018591173,0.0030793152,0.00031938992,0.00011511224,0.00041621472,0.00020519861,0.17349693,0.097515486,0.00525655,0.0041240505,0.71496445],"study_design_scores_gemma":[0.000009300745,0.000059370414,0.0007511074,0.00001018421,0.000017736713,0.00017423811,0.00003626774,0.98776996,0.007006999,0.0014394057,0.002707935,0.000017469907],"about_ca_topic_score_codex":0.0011991353,"about_ca_topic_score_gemma":0.0012984093,"teacher_disagreement_score":0.0014149057,"about_ca_system_score_codex":0.00014341048,"about_ca_system_score_gemma":0.00032339085,"threshold_uncertainty_score":0.004733324},"labels":[],"label_agreement":null},{"id":"W4413641307","doi":"10.1111/mice.70053","title":"Novel architecture based on dual‐view fusion for underground hidden distresses detection","year":2025,"lang":"en","type":"article","venue":"Computer-Aided Civil and Infrastructure Engineering","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Fundamental Research Funds for the Central Universities","keywords":"Architecture; Dual (grammatical number); Computer science; Fusion; Dual purpose; Artificial intelligence; Engineering; History; Art; Archaeology; Philosophy","score_opus":0.005063750976377023,"score_gpt":0.2096555460873109,"score_spread":0.2045917951109339,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413641307","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031782795,0.00032870763,0.96410257,0.00017612186,0.00007451377,0.00005181476,0.000065064436,0.0014046014,0.0020138114],"genre_scores_gemma":[0.7481294,0.00034393687,0.24507797,0.00042315424,0.0000816665,0.00011459566,0.00040417325,0.00012296524,0.0053020446],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999501,0.00006128524,0.00001862338,0.00015618035,0.00017306575,0.00008984211],"domain_scores_gemma":[0.99960583,0.000069912414,0.000049923474,0.00006875747,0.0001571034,0.000048545935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006515917,0.0010879621,0.0008452072,0.00083604455,0.00037745957,0.00084123394,0.0017120334,0.0011866671,0.0015184575],"category_scores_gemma":[0.001066065,0.00047022186,0.0009497753,0.00044196163,0.0005606234,0.0014215147,0.001779195,0.0011132143,0.0010037462],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007001826,0.00027060698,0.007016997,0.00015918257,0.00029193005,0.00058057945,0.0003482123,0.23914984,0.1311658,0.009921809,0.0058646235,0.6045302],"study_design_scores_gemma":[0.00001034969,0.00011134044,0.0008569371,0.000008370714,0.000043016542,0.00017781567,0.000020202828,0.9822717,0.013249434,0.0020248408,0.0012062798,0.00001968838],"about_ca_topic_score_codex":0.0025498136,"about_ca_topic_score_gemma":0.002751797,"teacher_disagreement_score":0.0025498136,"about_ca_system_score_codex":0.0005617089,"about_ca_system_score_gemma":0.00062400114,"threshold_uncertainty_score":0.0050797462},"labels":[],"label_agreement":null},{"id":"W4413679634","doi":"10.1109/compsac65507.2025.00230","title":"An Amodal Segmentation Pipeline for Critical Infrastructure Asset Imaging","year":2025,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Amodal perception; Critical infrastructure; Pipeline (software); Computer science; Asset (computer security); Segmentation; Artificial intelligence; Computer security; Neuroscience; Psychology; Programming language","score_opus":0.006123010439203879,"score_gpt":0.33035616819363506,"score_spread":0.3242331577544312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413679634","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0134954695,0.00024680173,0.9738879,0.00019432696,0.000041744024,0.00011163389,0.00036912333,0.009691723,0.0019613025],"genre_scores_gemma":[0.12637277,0.00033060674,0.86508274,0.0002337889,0.000052704414,0.00010510553,0.0023157026,0.0016214306,0.0038850943],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99942833,0.000056550412,0.000027281496,0.00018348265,0.00020636317,0.000097916316],"domain_scores_gemma":[0.9993082,0.00012864401,0.000066220084,0.00019787677,0.00024124804,0.000057759666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008503141,0.0010109445,0.0006889635,0.0027331184,0.00070142903,0.0015166936,0.0015086124,0.0012708543,0.007642326],"category_scores_gemma":[0.0016027213,0.0006555848,0.0011082682,0.0012854676,0.0006237476,0.0018009911,0.0020511192,0.0012704179,0.004589947],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028758205,0.0001710665,0.0022962964,0.00024432738,0.00009042278,0.00023916495,0.0003259869,0.03003179,0.22822036,0.0060854247,0.017810538,0.7141969],"study_design_scores_gemma":[0.00003725389,0.0001743011,0.0056329323,0.000040720133,0.000069350106,0.00067697244,0.00022960179,0.7808517,0.16102962,0.013637522,0.037519302,0.00010072181],"about_ca_topic_score_codex":0.0052580284,"about_ca_topic_score_gemma":0.011194546,"teacher_disagreement_score":0.007642326,"about_ca_system_score_codex":0.00088727387,"about_ca_system_score_gemma":0.0015193679,"threshold_uncertainty_score":0.02556616},"labels":[],"label_agreement":null},{"id":"W4414193179","doi":"10.1139/cgj-2025-0205","title":"A coupled nonlinear long-term consolidation and solute transport model for PVD-enhanced flushing remediation analysis of multilayered contaminated soils","year":2025,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Consolidation (business); Flushing; Environmental remediation; Nonlinear system; Pore water pressure; Rotational symmetry; Soil water; Parametric statistics","score_opus":0.015847249464544636,"score_gpt":0.27410922370979124,"score_spread":0.2582619742452466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414193179","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34952348,0.0010452749,0.6297668,0.0006781849,0.00012299005,0.00022138272,0.0005484875,0.00039216614,0.017701285],"genre_scores_gemma":[0.9726978,0.00053885573,0.015794473,0.00007226049,0.000018595585,0.0002784959,0.00018760326,0.00004244128,0.01036958],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998479,0.00002539624,0.000009222828,0.000042519347,0.000040452163,0.000034617864],"domain_scores_gemma":[0.99980575,0.00007801851,0.00003312907,0.000009643058,0.00005802511,0.000015433227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028841197,0.0005760432,0.0007363043,0.0004092525,0.00050775416,0.00079684606,0.0010942812,0.0016052328,0.0011640415],"category_scores_gemma":[0.0005503419,0.00044552388,0.00093534344,0.00037217792,0.0007388875,0.0006646142,0.00073989294,0.0007288258,0.0001794342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018151204,0.000024369761,0.0006849556,0.00003918888,0.000009703981,0.000065264954,0.000035876852,0.99031234,0.0054511107,0.0015457907,0.00009410558,0.0017190805],"study_design_scores_gemma":[0.0000026549733,0.000006385389,0.00009271334,0.0000016662732,0.000002629751,0.0000048013176,0.000006076651,0.9992861,0.00033427402,0.00015090739,0.000108952925,0.0000028718798],"about_ca_topic_score_codex":0.03370418,"about_ca_topic_score_gemma":0.020592744,"teacher_disagreement_score":0.03370418,"about_ca_system_score_codex":0.0016065256,"about_ca_system_score_gemma":0.0018678239,"threshold_uncertainty_score":0.067016006},"labels":[],"label_agreement":null},{"id":"W4414780136","doi":"10.1007/978-3-031-96763-4_33","title":"A Generalized Framework for Effectively Analyzing Ground Penetrating Radar Profiles in Bridge Condition Assessment","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Ground-penetrating radar; Bridge (graph theory); Process (computing); Entropy (arrow of time); Cluster analysis; Ground truth","score_opus":0.014408339852229245,"score_gpt":0.2881450073747724,"score_spread":0.27373666752254316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414780136","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012569589,0.00007338156,0.9982168,0.000018385603,0.000010858312,0.000010108818,0.000021234355,0.00005937708,0.00033289407],"genre_scores_gemma":[0.11878734,0.00076076004,0.87610775,0.00011154557,0.00014213959,0.00015120785,0.0002732003,0.00015929813,0.0035067524],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99929047,0.00026253852,0.000046369758,0.0001254424,0.00022221384,0.000053010346],"domain_scores_gemma":[0.9992995,0.00024631256,0.000055877343,0.00013585079,0.00022657124,0.000035834073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001360527,0.0009471831,0.0009086923,0.0008494496,0.00038663705,0.0012467346,0.0014756204,0.0008405585,0.0018570713],"category_scores_gemma":[0.0024580588,0.00043015138,0.0011206202,0.0012577634,0.00083847786,0.0014011173,0.0020426405,0.0011349822,0.00069146213],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067077286,0.00011765898,0.0011234998,0.00021618427,0.0001619117,0.00046983568,0.00023013169,0.5459924,0.023793897,0.19402759,0.0037879087,0.23001197],"study_design_scores_gemma":[0.0000037970829,0.000036748,0.00020966306,0.000013305158,0.000027524398,0.00007916077,0.000030235551,0.9556183,0.0010091399,0.04065295,0.0023052513,0.000013873054],"about_ca_topic_score_codex":0.0037357735,"about_ca_topic_score_gemma":0.0056366012,"teacher_disagreement_score":0.0037357735,"about_ca_system_score_codex":0.00033926137,"about_ca_system_score_gemma":0.0009410035,"threshold_uncertainty_score":0.00742805},"labels":[],"label_agreement":null},{"id":"W4415099718","doi":"10.1016/j.geomat.2025.100078","title":"Revealing the untold stories of sinkhole land subsidence over the remains of an underground river in tuff soil by Ground Penetrating Radar","year":2025,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universitas Airlangga; Universiti Teknologi MARA","keywords":"Ground-penetrating radar; Sinkhole; Geohazard; Subsidence; Hydrogeology; Aquifer; Groundwater; Piezometer; Radar","score_opus":0.009569918417996696,"score_gpt":0.2598518719412591,"score_spread":0.2502819535232624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415099718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992287,0.000030512027,0.0005004075,0.000006987967,0.0000013737794,0.000001613523,0.00001661621,0.000010477714,0.00020335775],"genre_scores_gemma":[0.99952936,0.000024170366,0.00035487945,0.0000046420378,0.0000011112359,5.6037544e-7,0.000017689084,0.0000011265251,0.000066459346],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999559,0.000008969423,0.0000021974356,0.000009591388,0.00000958474,0.000013881242],"domain_scores_gemma":[0.9999201,0.000022184096,0.000024016485,0.000010454789,0.000012741782,0.000010512999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000092154914,0.00011980564,0.00008284419,0.00040457095,0.000106332096,0.00024938394,0.00016241243,0.0002498947,0.00025476803],"category_scores_gemma":[0.00025053837,0.000089218054,0.000065194195,0.0002236636,0.00027584477,0.00023396155,0.00020922277,0.0001203471,0.000064801476],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043862002,0.0000772668,0.47487128,0.00014650445,0.000059631075,0.010021411,0.0023342415,0.002511672,0.43520787,0.00041862778,0.0002970737,0.073615886],"study_design_scores_gemma":[0.000004407155,0.00016499856,0.97133374,0.00002015092,0.000042596403,0.0034799194,0.002484605,0.007253535,0.014244644,0.00016362588,0.0007943963,0.000013401174],"about_ca_topic_score_codex":0.0009981272,"about_ca_topic_score_gemma":0.0027176193,"teacher_disagreement_score":0.0009981272,"about_ca_system_score_codex":0.000070881855,"about_ca_system_score_gemma":0.00007041357,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4415178164","doi":"10.1016/j.jappgeo.2025.105986","title":"Geophysical characterization of a sand deposit in a small-scale mining in the central east region of São Paulo State, Brazil","year":2025,"lang":"en","type":"article","venue":"Journal of Applied Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Universidade de São Paulo; Fundação de Amparo à Pesquisa do Estado de São Paulo; Institute of Australian Geographers","keywords":"Ground-penetrating radar; Electrical resistivity tomography; Borehole; Stratigraphy; Dike; Water table; Reservoir modeling","score_opus":0.008477997400345097,"score_gpt":0.22251664349307512,"score_spread":0.21403864609273002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415178164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987104,0.00005535035,0.00011859988,0.000022604465,0.0000014057875,0.000008866906,0.00010569256,0.0000047789185,0.00097234227],"genre_scores_gemma":[0.99960774,0.000052741263,0.0001430736,0.000003937972,0.0000011486368,0.0000027684034,0.000052491774,0.0000012183363,0.00013487978],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99991405,0.000008646286,0.00000996855,0.000019866506,0.00003191975,0.000015440712],"domain_scores_gemma":[0.9998493,0.000033300395,0.000032666336,0.000011283618,0.000052845604,0.00002063691],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011269954,0.00015743791,0.00024552582,0.0013614182,0.0006129202,0.0005284519,0.00029118068,0.00029610866,0.00039843845],"category_scores_gemma":[0.0004937911,0.00016179275,0.00020779589,0.0013325182,0.00048766672,0.00018410098,0.00044939594,0.00009291563,0.000077721474],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007939359,0.00005958396,0.9457816,0.00013782577,0.00010312126,0.0030664383,0.0038821585,0.0019103197,0.03132957,0.000604583,0.00020746708,0.012838007],"study_design_scores_gemma":[0.0000036903648,0.000023902587,0.99413836,0.000021475687,0.000027401733,0.00049345824,0.0024166098,0.0012633692,0.00066475687,0.0000696087,0.00087050686,0.0000068267004],"about_ca_topic_score_codex":0.090754844,"about_ca_topic_score_gemma":0.20792004,"teacher_disagreement_score":0.090754844,"about_ca_system_score_codex":0.00053476775,"about_ca_system_score_gemma":0.00088760065,"threshold_uncertainty_score":0.18045318},"labels":[],"label_agreement":null},{"id":"W4415976534","doi":"10.1016/j.rse.2025.115110","title":"Automated drone-borne GPR mapping of root-zone soil moisture for precision irrigation","year":2025,"lang":"en","type":"article","venue":"Remote Sensing of Environment","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Fonds De La Recherche Scientifique - FNRS; Gouvernement Wallon","keywords":"Water content; Ground-penetrating radar; Reflectometry; Precision agriculture; Irrigation; Moisture; Radar; Soil water; Precipitation","score_opus":0.010124431461222159,"score_gpt":0.24283727020826956,"score_spread":0.2327128387470474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415976534","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8340243,0.00025681645,0.15959127,0.00010204809,0.000027789845,0.000063112166,0.0007035244,0.0015439185,0.0036871908],"genre_scores_gemma":[0.94815737,0.00012543038,0.050520014,0.000041833,0.000008137285,0.000030309695,0.0003418599,0.000055127843,0.00071985996],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990237,0.000020881995,0.0000029551456,0.000025774267,0.00003251322,0.000015423166],"domain_scores_gemma":[0.99983513,0.000042475764,0.00002463965,0.00003983324,0.000048449157,0.000009415049],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018045076,0.00026144943,0.00021077952,0.00031099154,0.00008383727,0.00033641516,0.00032106135,0.00026189402,0.00093755795],"category_scores_gemma":[0.0003405821,0.00011429359,0.00013571049,0.00024157458,0.000108518856,0.0004667175,0.0003372586,0.00024501834,0.00040741308],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028277468,0.000105908206,0.018172283,0.00021678316,0.000043006676,0.00023621481,0.00032460847,0.026315123,0.6691152,0.00081959454,0.0024110815,0.28195754],"study_design_scores_gemma":[0.00013211498,0.0005527633,0.16896568,0.00008001326,0.00012974747,0.00072467356,0.00068999367,0.58884776,0.21479507,0.0017400859,0.023218904,0.00012320507],"about_ca_topic_score_codex":0.0011433123,"about_ca_topic_score_gemma":0.002873207,"teacher_disagreement_score":0.0011433123,"about_ca_system_score_codex":0.0001279639,"about_ca_system_score_gemma":0.00016630656,"threshold_uncertainty_score":0.0031363964},"labels":[],"label_agreement":null},{"id":"W4796782","doi":"10.1007/0-306-47669-x_3","title":"Ground-Penetrating Radar Applications in Paleolimnology","year":2005,"lang":"en","type":"book-chapter","venue":"Kluwer Academic Publishers eBooks","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Ground-penetrating radar; Geology; Remote sensing; Paleolimnology; Radar; Geomorphology; Computer science; Telecommunications; Sediment","score_opus":0.019803041586791952,"score_gpt":0.2511510635747641,"score_spread":0.23134802198797214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4796782","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03468176,0.2477835,0.3435007,0.0023065,0.0011751046,0.00011520727,0.0003344916,0.0009171282,0.36918563],"genre_scores_gemma":[0.18027222,0.32897612,0.25500292,0.0019498941,0.00095620425,0.00010037439,0.00065559056,0.00028867132,0.23179808],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99988735,0.000022113327,0.0000069259327,0.000018456389,0.00005801651,0.0000071505983],"domain_scores_gemma":[0.9997794,0.00012905583,0.000008159084,0.000025494524,0.000048377893,0.00000955363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003748294,0.00044454096,0.0002201615,0.0009400146,0.0001934198,0.0008320533,0.00045608758,0.0005809147,0.006985676],"category_scores_gemma":[0.00036971562,0.0003721047,0.00023639892,0.0019917644,0.0003714796,0.0009036888,0.0005674325,0.00072553003,0.0027243788],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025459694,0.000059042326,0.001162966,0.00056999933,0.000021977601,0.0006131019,0.00047480175,0.006662643,0.029480422,0.029822862,0.0117969895,0.9193098],"study_design_scores_gemma":[0.000017906974,0.00022544834,0.006765373,0.0008609992,0.00004749736,0.0053055077,0.00038556574,0.020863494,0.024519846,0.053795293,0.8871562,0.0000568751],"about_ca_topic_score_codex":0.00045857817,"about_ca_topic_score_gemma":0.0011915092,"teacher_disagreement_score":0.006985676,"about_ca_system_score_codex":0.00017269303,"about_ca_system_score_gemma":0.0001437326,"threshold_uncertainty_score":0.023369372},"labels":[],"label_agreement":null},{"id":"W560911252","doi":"","title":"Use of Ground Penetrating Radar to Determine an In-Situ HMAC Surface Course Lift Thickness Profile: A Case Study - Highway 401, Trenton, Ontario","year":2012,"lang":"en","type":"article","venue":"2012 CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA - TRANSPORTATION: INNOVATIONS AND OPPORTUNITIES","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ground-penetrating radar; Radar; Geology; Christian ministry; Engineering; Geotechnical engineering; Remote sensing","score_opus":0.06498207830751948,"score_gpt":0.26226605884856485,"score_spread":0.19728398054104537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W560911252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947918,0.000043479373,0.000692027,0.00003654172,0.0000027895762,0.000071040864,0.0002565008,0.000020273059,0.004085448],"genre_scores_gemma":[0.9940321,0.00009397045,0.0020928117,0.000024848781,0.0000018483975,0.000015064766,0.00023620947,0.000009037355,0.0034940105],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993405,0.000041063173,0.000025750596,0.00011089066,0.00036580957,0.00011592461],"domain_scores_gemma":[0.9994548,0.00006938605,0.000055390123,0.000036902424,0.0003410035,0.000042521686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039788848,0.0003212123,0.00021215099,0.00078797416,0.0015879922,0.00091223686,0.00058529276,0.0005800666,0.0007339221],"category_scores_gemma":[0.0006706627,0.00025401587,0.00018365985,0.0013078625,0.0006203691,0.00028141093,0.00032343308,0.00030768028,0.00021795282],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061990775,0.00073115714,0.6832807,0.00041021162,0.00009760119,0.019138504,0.016787259,0.016176166,0.16254315,0.00073439337,0.0026751247,0.09680591],"study_design_scores_gemma":[0.000047051348,0.0005661585,0.94191104,0.000046584453,0.000065341024,0.0015308498,0.014802194,0.011969882,0.02061393,0.00010013287,0.008298269,0.00004854663],"about_ca_topic_score_codex":0.75471,"about_ca_topic_score_gemma":0.9270794,"teacher_disagreement_score":0.24528998,"about_ca_system_score_codex":0.0052690487,"about_ca_system_score_gemma":0.003452518,"threshold_uncertainty_score":0.49346906},"labels":[],"label_agreement":null},{"id":"W574034012","doi":"","title":"Bridge Check Ups","year":2007,"lang":"en","type":"article","venue":"Bridges Conversations in Global Politics and Public Policy","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Nondestructive testing; Ground-penetrating radar; Bridge (graph theory); Thermography; Bridge deck; Structural engineering; Engineering; Computer science; Forensic engineering; Deck; Radar; Infrared","score_opus":0.02138909870311216,"score_gpt":0.29794495239690755,"score_spread":0.2765558536937954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W574034012","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29885992,0.005759585,0.031120514,0.008065229,0.005220044,0.0051701562,0.022140514,0.006439787,0.61722434],"genre_scores_gemma":[0.42691404,0.0023909828,0.028089777,0.0031994993,0.00076250447,0.0014758843,0.01636625,0.00079503417,0.52000606],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983876,0.00015379966,0.00011895692,0.00028946548,0.0007899537,0.00026031665],"domain_scores_gemma":[0.99742484,0.000262599,0.00017386785,0.0003230645,0.0013370541,0.0004786296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014098099,0.00084717094,0.0005677316,0.0030218156,0.0021919133,0.0008851227,0.0014632905,0.0012962495,0.13092884],"category_scores_gemma":[0.0044903858,0.0003060283,0.0006611698,0.00080550084,0.00033971656,0.0008250468,0.0019383201,0.0011225085,0.035774022],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00078851025,0.0009430524,0.053803608,0.00059526943,0.000057509733,0.007279094,0.0016762723,0.00089463015,0.014201248,0.0032680833,0.23484954,0.68164307],"study_design_scores_gemma":[0.00009672958,0.0009960571,0.1237813,0.0007466664,0.00008956848,0.005031836,0.003159294,0.0021000293,0.014815724,0.0021311177,0.8469434,0.00010834924],"about_ca_topic_score_codex":0.0056714755,"about_ca_topic_score_gemma":0.0091772545,"teacher_disagreement_score":0.13092884,"about_ca_system_score_codex":0.0010562395,"about_ca_system_score_gemma":0.0017276561,"threshold_uncertainty_score":0.43800062},"labels":[],"label_agreement":null},{"id":"W580031988","doi":"","title":"Non-destructive Structural Asset Valuation of a Saskatchewan Rural Airfield Before and After Structural Upgrade","year":2009,"lang":"en","type":"article","venue":"2009 ANNUAL CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA - TRANSPORTATION IN A CLIMATE OF CHANGE","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Asset management; Ground-penetrating radar; Environmental science; Valuation (finance); Upgrade; Civil engineering; Business; Environmental resource management; Computer science; Engineering; Radar; Finance","score_opus":0.011721964516732488,"score_gpt":0.2373165495699661,"score_spread":0.2255945850532336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W580031988","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982451,0.000009935355,0.00028505232,0.000011656244,9.460083e-7,0.000016267082,0.00014202528,0.000008833654,0.0012801501],"genre_scores_gemma":[0.99649006,0.000027586048,0.00078256463,0.0000132572295,6.83081e-7,0.000011856196,0.00023193247,0.0000042362067,0.002437872],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998148,0.000026712356,0.0000046334903,0.00003719631,0.000073380244,0.00004323778],"domain_scores_gemma":[0.99971193,0.000050111426,0.000032003514,0.000027394086,0.00013900644,0.000039577826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002897111,0.0003059536,0.00019110777,0.0007005756,0.00057130645,0.00050255173,0.0003989833,0.00029398323,0.001736007],"category_scores_gemma":[0.00040535425,0.00016879078,0.00013081357,0.00076210214,0.00034973887,0.00026505484,0.00032622548,0.00027222311,0.00031131372],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001751372,0.0011788101,0.5785973,0.00009619216,0.00014450199,0.0024154761,0.0019478786,0.059323918,0.19168404,0.0007519677,0.0016036548,0.16050482],"study_design_scores_gemma":[0.000023834922,0.00072387466,0.95035785,0.000010525175,0.0000342272,0.00017884787,0.0023057119,0.032387204,0.012251821,0.00015381668,0.0015412174,0.000031104362],"about_ca_topic_score_codex":0.28183532,"about_ca_topic_score_gemma":0.696355,"teacher_disagreement_score":0.7181647,"about_ca_system_score_codex":0.0027631407,"about_ca_system_score_gemma":0.001571764,"threshold_uncertainty_score":0.5603897},"labels":[],"label_agreement":null},{"id":"W58817907","doi":"10.1007/s10230-014-0261-0","title":"Grouted-in Pressure Transducers: Implications for Hydrogeological Testing and Monitoring in Bedrock","year":2014,"lang":"en","type":"article","venue":"Mine Water and the Environment","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Golder Associates (Canada)","funders":"","keywords":"Piezometer; Grout; Hydraulic conductivity; Hydrogeology; Geology; Geotechnical engineering; Bedrock; Transducer; Aquifer; Groundwater flow; Groundwater; Engineering; Soil science; Soil water; Geomorphology","score_opus":0.016201832558083343,"score_gpt":0.2171581313632419,"score_spread":0.20095629880515858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W58817907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5713773,0.003713223,0.40481633,0.0071028317,0.00046791905,0.000217088,0.0012450087,0.0019213535,0.009138996],"genre_scores_gemma":[0.93702775,0.0008930063,0.05958525,0.0005324437,0.00009656055,0.00006277996,0.00014478627,0.00007567193,0.0015816708],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99878603,0.0004309567,0.00005436574,0.00017078096,0.00048495602,0.000072877316],"domain_scores_gemma":[0.9961247,0.0021868788,0.00035091816,0.00028908355,0.0009235504,0.00012495155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014815313,0.0004875396,0.000455857,0.0007441474,0.0005952011,0.0020462468,0.0024713485,0.0023902068,0.002380845],"category_scores_gemma":[0.0072347433,0.00038828517,0.0001622621,0.00118757,0.0020149702,0.0022813373,0.0010698335,0.0008225153,0.0004962147],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012539037,0.0008479379,0.14405437,0.0007905361,0.000057058704,0.0016886657,0.0014749748,0.02834178,0.46051386,0.015272309,0.004264275,0.3414404],"study_design_scores_gemma":[0.00018395182,0.0022979435,0.13328835,0.0003971541,0.00017723706,0.004112241,0.0055087013,0.34537852,0.45773435,0.034014367,0.016552772,0.0003544946],"about_ca_topic_score_codex":0.0019280316,"about_ca_topic_score_gemma":0.00362958,"teacher_disagreement_score":0.0024713485,"about_ca_system_score_codex":0.00044232325,"about_ca_system_score_gemma":0.0007018406,"threshold_uncertainty_score":0.00796473},"labels":[],"label_agreement":null},{"id":"W59725089","doi":"","title":"Geotechnical Applications of LiDAR Pertaining to Geomechanical Evaluation and Hazard Identification","year":2010,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Transport Canada","keywords":"Geotechnical engineering; Hazard analysis; Lidar; Identification (biology); Geology; Geotechnical investigation; Hazard; Forensic engineering; Engineering; Remote sensing; Reliability engineering","score_opus":0.007890482991087024,"score_gpt":0.23381599704353767,"score_spread":0.22592551405245065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W59725089","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.124658234,0.015073069,0.73328173,0.005573737,0.0008244841,0.00042998986,0.001027497,0.00096238375,0.118168935],"genre_scores_gemma":[0.78535616,0.013172467,0.1711833,0.0005327302,0.0005332334,0.00021959994,0.00058284524,0.00009425926,0.028325437],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99943036,0.0001864473,0.000027579561,0.000053693544,0.00026987138,0.000032058426],"domain_scores_gemma":[0.9991155,0.00041021054,0.000048017322,0.000060114573,0.0003415622,0.000024536032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095050264,0.0002988005,0.0002329923,0.0013064885,0.0004225379,0.0010651493,0.00034712252,0.0010940045,0.005433314],"category_scores_gemma":[0.0026388126,0.00023188931,0.00019502352,0.0017363244,0.00040216136,0.0007994484,0.000730572,0.0004094117,0.0012956687],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095708405,0.00023390591,0.0075367484,0.0005089249,0.000023745903,0.00048539005,0.00062286697,0.03138497,0.081413515,0.017302558,0.012112513,0.84827906],"study_design_scores_gemma":[0.00007556559,0.00094893784,0.034795135,0.0008190745,0.00010545141,0.0019101441,0.0035819507,0.42939,0.2150561,0.07577898,0.2373709,0.00016771181],"about_ca_topic_score_codex":0.0009576907,"about_ca_topic_score_gemma":0.0021694647,"teacher_disagreement_score":0.005433314,"about_ca_system_score_codex":0.00025742507,"about_ca_system_score_gemma":0.00070400897,"threshold_uncertainty_score":0.018176258},"labels":[],"label_agreement":null},{"id":"W599791760","doi":"","title":"EFFECTIVENESS OF GROUND PENETRATING RADAR FOR PREPARING PRE-TENDER DETERIORATION ESTIMATES ON ASPHALT COVERED REINFORCED CONCRETE BRIDGE DECKS","year":2000,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ground-penetrating radar; Asphalt; Environmental science; Radar; Bridge (graph theory); Geotechnical engineering; Bridge deck; Asphalt concrete; Structural engineering; Deck; Geology; Engineering; Materials science; Composite material","score_opus":0.015726396597792208,"score_gpt":0.2845651348049115,"score_spread":0.26883873820711934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W599791760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9729604,0.0001564712,0.025823925,0.00001611753,0.000005880871,0.00002051526,0.000081240156,0.00018967644,0.0007456751],"genre_scores_gemma":[0.97316295,0.00013573845,0.026189288,0.000009581424,0.0000043559794,0.0000062411996,0.0001804227,0.000009999276,0.00030134027],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99955875,0.00013705344,0.000029207898,0.00008027726,0.00015586619,0.00003888736],"domain_scores_gemma":[0.9991999,0.00038377795,0.00007949452,0.000071117414,0.00022068738,0.000044995388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011613021,0.00040226406,0.00021493752,0.0007969657,0.000097004806,0.00035836062,0.00025300364,0.0002547996,0.00036254944],"category_scores_gemma":[0.0023082527,0.00017866986,0.000121329285,0.00023176329,0.00012064884,0.00039484294,0.00026934122,0.00014696772,0.00030774248],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014189205,0.00021487703,0.25818324,0.00019705809,0.000054160315,0.00042604795,0.00032852977,0.049367312,0.36006096,0.00017793982,0.00047214827,0.32909873],"study_design_scores_gemma":[0.00006155616,0.0023518372,0.51800114,0.00004425174,0.00010630921,0.00086636783,0.0006277902,0.30318952,0.17290242,0.00019986313,0.0015926419,0.000056247412],"about_ca_topic_score_codex":0.0011258262,"about_ca_topic_score_gemma":0.0019051189,"teacher_disagreement_score":0.0011613021,"about_ca_system_score_codex":0.00011365692,"about_ca_system_score_gemma":0.00014904697,"threshold_uncertainty_score":0.0061416626},"labels":[],"label_agreement":null},{"id":"W604426019","doi":"","title":"Cone Penetration Testing","year":2007,"lang":"en","type":"article","venue":"Synthesis of highway practice","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":204,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Penetrometer; Cone penetration test; Engineering; Profiling (computer programming); Penetration test; Transport engineering; Civil engineering; Computer science; Geotechnical engineering; Geology","score_opus":0.024202585385961994,"score_gpt":0.28360025653284987,"score_spread":0.2593976711468879,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W604426019","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.112892844,0.07716918,0.28533897,0.0031638828,0.0015906414,0.0029030459,0.006728517,0.0032203565,0.50699264],"genre_scores_gemma":[0.5417705,0.1263518,0.1878547,0.0030801573,0.00030740915,0.0014730394,0.005571436,0.0011283973,0.13246249],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9928011,0.00055927,0.0002209315,0.00051878544,0.0056253294,0.00027461722],"domain_scores_gemma":[0.99322927,0.00154783,0.00039491823,0.0003117557,0.004361471,0.00015479015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024826368,0.0010934377,0.0007972069,0.0036179568,0.0011508913,0.001790869,0.0017912076,0.00065346237,0.015614928],"category_scores_gemma":[0.007973604,0.00034544137,0.00047170083,0.0040337476,0.0009472508,0.0017151958,0.0013038707,0.00062330335,0.0041896002],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016464588,0.00014522923,0.012812105,0.0025754115,0.00003390558,0.0008099712,0.0015867694,0.002588431,0.020706568,0.0052515673,0.03410571,0.91921973],"study_design_scores_gemma":[0.000044344826,0.0014514284,0.053375404,0.0044774134,0.00015627623,0.007802982,0.009911304,0.007093551,0.05548744,0.005296161,0.85465,0.00025367952],"about_ca_topic_score_codex":0.050620362,"about_ca_topic_score_gemma":0.08515415,"teacher_disagreement_score":0.050620362,"about_ca_system_score_codex":0.0016362127,"about_ca_system_score_gemma":0.0035702477,"threshold_uncertainty_score":0.10065144},"labels":[],"label_agreement":null},{"id":"W617515887","doi":"10.1007/s00024-015-1108-8","title":"Multiple Frequency Contrast Source Inversion Method for Vertical Electromagnetic Profiling: 2D Simulation Results and Analyses","year":2015,"lang":"en","type":"article","venue":"Pure and Applied Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Fast Fourier transform; Algorithm; Inversion (geology); Computer science; Solver; Computation; Geology","score_opus":0.040102535124745174,"score_gpt":0.30918626989639053,"score_spread":0.2690837347716454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W617515887","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52692854,0.00034616727,0.45877132,0.0003666834,0.000061080245,0.000072496136,0.00047349266,0.0008416507,0.012138555],"genre_scores_gemma":[0.92927665,0.00016306853,0.06810412,0.000040716193,0.000009756019,0.000040237806,0.00022990363,0.000079853344,0.002055696],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991965,0.00002118541,0.0000034589707,0.000008780207,0.000034027198,0.000012888529],"domain_scores_gemma":[0.9996867,0.00014780695,0.000028558934,0.000021891821,0.00010452045,0.000010543776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002536674,0.00044577708,0.00034550048,0.00027360322,0.00022061035,0.00043284148,0.0003930454,0.00061778654,0.0015947637],"category_scores_gemma":[0.0007824155,0.00021135448,0.0003665927,0.00045094255,0.00019676151,0.0007185562,0.00038550366,0.00036041441,0.00024166444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015543483,0.000121375284,0.0030924822,0.0000912394,0.000033446235,0.00012219176,0.00009769339,0.94487894,0.017276313,0.002591044,0.00088485674,0.030655026],"study_design_scores_gemma":[0.000005532151,0.00001179516,0.00023893928,0.0000021498986,0.0000031566192,0.000012123394,0.000011665305,0.9979736,0.0014822013,0.00013330425,0.00012165605,0.000003818198],"about_ca_topic_score_codex":0.008154312,"about_ca_topic_score_gemma":0.004382909,"teacher_disagreement_score":0.008154312,"about_ca_system_score_codex":0.00023200408,"about_ca_system_score_gemma":0.0005985344,"threshold_uncertainty_score":0.016213655},"labels":[],"label_agreement":null},{"id":"W622538642","doi":"","title":"Assessing the Benefits of Ground Penetrating Radar Technology - Does It Improve the Accuracy of FWD Results and Overlay Design?","year":2012,"lang":"en","type":"article","venue":"2012 CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA - TRANSPORTATION: INNOVATIONS AND OPPORTUNITIES","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ground-penetrating radar; Falling weight deflectometer; Overlay; Pavement management; Engineering; Radar; Asset management; Pavement engineering; Civil engineering; Computer science; Asphalt; Geography; Subgrade; Cartography","score_opus":0.04303992150414112,"score_gpt":0.26112931917155086,"score_spread":0.21808939766740973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W622538642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93647605,0.004121029,0.038565814,0.0026834167,0.00012844778,0.00016879023,0.000590862,0.00033266938,0.016932776],"genre_scores_gemma":[0.96794343,0.0011631186,0.029696746,0.00014407795,0.000036655685,0.000012663554,0.00017675912,0.000038212624,0.00078836555],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9951426,0.0016564375,0.00023300997,0.0003251853,0.00236649,0.00027635807],"domain_scores_gemma":[0.9895985,0.004311063,0.0013854512,0.0008125261,0.0036588456,0.00023358953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009058521,0.000761718,0.0006400903,0.001320589,0.00029277854,0.0025327022,0.000949408,0.0015926856,0.0023008522],"category_scores_gemma":[0.024701975,0.00032689763,0.0004125143,0.0011508391,0.0007852161,0.0041694664,0.00085220806,0.00043859018,0.0007811066],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012733004,0.00043414716,0.4885391,0.00089264516,0.00036742006,0.00049305736,0.0007014472,0.034951206,0.038063444,0.0026475824,0.0018236559,0.429813],"study_design_scores_gemma":[0.00015805298,0.003896626,0.7788212,0.00041946545,0.00099425,0.0014371091,0.0056526694,0.12268735,0.0669494,0.004721388,0.014014835,0.000247727],"about_ca_topic_score_codex":0.015565596,"about_ca_topic_score_gemma":0.045977656,"teacher_disagreement_score":0.9844344,"about_ca_system_score_codex":0.0013891761,"about_ca_system_score_gemma":0.0011893711,"threshold_uncertainty_score":0.047906578},"labels":[],"label_agreement":null},{"id":"W624888121","doi":"","title":"Ground Penetrating Radar Quality Assurance Characterization of Asphaltic Concrete Surfacing","year":2009,"lang":"en","type":"article","venue":"2009 ANNUAL CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA - TRANSPORTATION IN A CLIMATE OF CHANGE","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ground-penetrating radar; Quality assurance; Asphalt; Christian ministry; Radar; Environmental science; Engineering; Cartography; Geography","score_opus":0.02372298441341787,"score_gpt":0.25319557443586066,"score_spread":0.2294725900224428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W624888121","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959561,0.000045097087,0.0027741548,0.000015234725,0.0000013259195,0.000017781564,0.0001929312,0.000020674515,0.0009766757],"genre_scores_gemma":[0.99602664,0.00007718093,0.0027686844,0.000018671284,0.0000012364025,0.0000075880316,0.00028707087,0.000006126748,0.000806808],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99966466,0.000045623812,0.000021391896,0.000051752224,0.00017515167,0.000041324816],"domain_scores_gemma":[0.9994241,0.00009446792,0.00009245372,0.00004490379,0.00030923955,0.000034788158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003829045,0.00020146869,0.0001521473,0.0011063821,0.00019688068,0.0004241863,0.00022625999,0.00016593987,0.0005132863],"category_scores_gemma":[0.0006156191,0.00011204184,0.00009934314,0.0008946642,0.00023200738,0.00022697455,0.00023416038,0.0002136676,0.00012386932],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016270288,0.00007169145,0.50182,0.00010142321,0.000057476736,0.00064053683,0.0007916317,0.0066723833,0.42602125,0.00034036307,0.0003875581,0.062932946],"study_design_scores_gemma":[0.000008076769,0.00014468176,0.92950696,0.000010045243,0.000031207466,0.00038063826,0.00073574897,0.0078791,0.060094383,0.00010997135,0.0010796415,0.000019460158],"about_ca_topic_score_codex":0.06433307,"about_ca_topic_score_gemma":0.2098491,"teacher_disagreement_score":0.06433307,"about_ca_system_score_codex":0.0007000666,"about_ca_system_score_gemma":0.000724027,"threshold_uncertainty_score":0.12791723},"labels":[],"label_agreement":null},{"id":"W636298290","doi":"","title":"Innovative Method for Interpreting Ground-Penetrating Radar (GPR) Data from Concrete Bridge Decks","year":2014,"lang":"en","type":"article","venue":"Transportation Research Board 93rd Annual MeetingTransportation Research Board","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ground-penetrating radar; Bridge (graph theory); Rebar; Context (archaeology); Bridge deck; Nondestructive testing; Radar; Delamination (geology); Engineering; Structural engineering; Forensic engineering; Computer science; Civil engineering; Geology; Deck; Seismology; Telecommunications","score_opus":0.10701351332019239,"score_gpt":0.4311867381011558,"score_spread":0.32417322478096344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W636298290","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.056493852,0.00021133706,0.9405838,0.00004494681,0.00003870037,0.00011832153,0.00018735626,0.00095701835,0.0013646444],"genre_scores_gemma":[0.18867141,0.00027602055,0.8094455,0.000038947215,0.00003101476,0.00014644251,0.00023780715,0.00004971899,0.0011032387],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99950707,0.000110001034,0.00003057798,0.00010992332,0.00021046396,0.00003190791],"domain_scores_gemma":[0.99944025,0.0001497124,0.00007752222,0.00006021669,0.00024973982,0.000022495755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006104442,0.0005638379,0.00030710356,0.001767973,0.00017186234,0.0006292378,0.00049151893,0.00054410147,0.00073335343],"category_scores_gemma":[0.0010089066,0.00024064793,0.00027291125,0.0011371094,0.00021757596,0.0005441541,0.00046453992,0.00035364268,0.0004919457],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017001742,0.00012198037,0.0066401884,0.000244595,0.00006371952,0.0003285129,0.0002698995,0.006222085,0.6091292,0.0015131595,0.0010013226,0.37429532],"study_design_scores_gemma":[0.00009409318,0.0007157225,0.04922618,0.00008100161,0.0002123693,0.0036801186,0.0005538423,0.43179798,0.4962318,0.0015435372,0.015689274,0.00017404815],"about_ca_topic_score_codex":0.00093642465,"about_ca_topic_score_gemma":0.0015887537,"teacher_disagreement_score":0.001767973,"about_ca_system_score_codex":0.00020196203,"about_ca_system_score_gemma":0.0006528097,"threshold_uncertainty_score":0.0032283664},"labels":[],"label_agreement":null},{"id":"W64573267","doi":"10.1533/9781782422433.2.309","title":"Sensing solutions for assessing and monitoring tunnels","year":2014,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Cover (algebra); Remote sensing; Engineering; Construction engineering; Computer science; Civil engineering; Systems engineering; Environmental science; Geology; Mechanical engineering","score_opus":0.03664769876762864,"score_gpt":0.27900006727334326,"score_spread":0.24235236850571462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W64573267","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031508268,0.005598412,0.9311887,0.0012682541,0.00067366386,0.00006347375,0.00048618094,0.002201853,0.055368494],"genre_scores_gemma":[0.06960648,0.014044763,0.7473103,0.000657137,0.00043576208,0.00012990607,0.0011289137,0.00052779505,0.16615893],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99947184,0.000056365825,0.00002444613,0.00009621307,0.0003212815,0.000029880157],"domain_scores_gemma":[0.99977046,0.00007508972,0.000016131487,0.00003598037,0.00009055873,0.000011850344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005536281,0.0013981562,0.0005600343,0.0011253844,0.00038031282,0.0025287902,0.0016935759,0.0016997358,0.013888965],"category_scores_gemma":[0.00091630936,0.0004852407,0.00050211744,0.0013422851,0.0006582923,0.0027587595,0.0014243603,0.00087618205,0.0046444554],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019188623,0.000028462448,0.00051151245,0.00034972752,0.00002532478,0.00007001638,0.00022815006,0.023038255,0.015879631,0.042515367,0.03959837,0.877736],"study_design_scores_gemma":[0.000017215738,0.00008843907,0.0019862067,0.00058920647,0.00006896988,0.0005540813,0.001015994,0.17138486,0.017345445,0.21815898,0.5886831,0.00010750062],"about_ca_topic_score_codex":0.0032136969,"about_ca_topic_score_gemma":0.0057216305,"teacher_disagreement_score":0.013888965,"about_ca_system_score_codex":0.0004989844,"about_ca_system_score_gemma":0.0006922022,"threshold_uncertainty_score":0.04646319},"labels":[],"label_agreement":null},{"id":"W651701074","doi":"","title":"Ground penetrating radar investigation of ballast on the CN and CP rail lines near Ashcroft, British Columbia","year":2006,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ground-penetrating radar; Ballast; Track (disk drive); Radar; Antenna (radio); Geology; Radar systems; Remote sensing; Engineering; Telecommunications; Electrical engineering","score_opus":0.011129815637642825,"score_gpt":0.2003777311615546,"score_spread":0.1892479155239118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W651701074","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981658,0.00002125805,0.00015134981,0.000013947965,7.188673e-7,0.000010257638,0.00017129324,0.000007039665,0.0014583737],"genre_scores_gemma":[0.99688655,0.000072292794,0.0004992429,0.000019482557,7.308687e-7,0.000006828241,0.00029910542,0.0000038358235,0.0022118883],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99974066,0.000014794826,0.0000064880096,0.00003756872,0.00013798654,0.00006253359],"domain_scores_gemma":[0.9995584,0.000027754557,0.000042744192,0.00001190027,0.0003120593,0.00004713651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013798173,0.00018073077,0.00016287659,0.00075479044,0.00090175425,0.00047400856,0.0002910455,0.00021366843,0.0007213565],"category_scores_gemma":[0.0004490613,0.00014819737,0.000055335946,0.0013737241,0.0003519333,0.00016543038,0.00025350344,0.0002614594,0.00016777635],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023336466,0.00011754473,0.8695721,0.00009960122,0.000032318116,0.0016322039,0.0048676333,0.001981194,0.06297585,0.0002862687,0.0016091402,0.05659282],"study_design_scores_gemma":[0.0000047677304,0.000050722683,0.9931202,0.000010569574,0.000007085183,0.00015292055,0.0029267513,0.0009377472,0.0014717296,0.000013283198,0.0012968158,0.000007516188],"about_ca_topic_score_codex":0.92521155,"about_ca_topic_score_gemma":0.97500527,"teacher_disagreement_score":0.07478845,"about_ca_system_score_codex":0.0022060396,"about_ca_system_score_gemma":0.0032104908,"threshold_uncertainty_score":0.15045774},"labels":[],"label_agreement":null},{"id":"W6888534890","doi":"10.2021/ju.v1i2.2466","title":"Road Shots:Highway 60, Nablus (Laser Cut Photograph 60x40)","year":2022,"lang":"en","type":"article","venue":"The Journal of Macrodynamic Analysis (Memorial University of Newfoundland)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Field (mathematics); Photography; Data collection","score_opus":0.007015128495940181,"score_gpt":0.20382553610259008,"score_spread":0.1968104076066499,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6888534890","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19508612,0.00062360696,0.006666235,0.0031498559,0.0035988148,0.0015602869,0.09333125,0.0030725996,0.69291127],"genre_scores_gemma":[0.2670952,0.0005877562,0.011657196,0.0006259163,0.00033373362,0.00032225397,0.0410054,0.0007744192,0.6775981],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99953175,0.000018435032,0.000008898928,0.00006671682,0.00029031062,0.00008387204],"domain_scores_gemma":[0.9996463,0.000018577763,0.000015160053,0.000030773757,0.00022617375,0.00006297045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024830396,0.00042914486,0.00029951154,0.0026110439,0.0028375606,0.000728831,0.0005300776,0.0009115874,0.14773576],"category_scores_gemma":[0.0006429949,0.00029803687,0.00024719187,0.0013255115,0.00027958705,0.0003169115,0.00069648813,0.0010862449,0.022724546],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00090786564,0.00031773126,0.010603063,0.00022374211,0.000047845515,0.0027430153,0.0012635355,0.0015263134,0.044054635,0.0017346693,0.7620448,0.17453282],"study_design_scores_gemma":[0.00008102762,0.0002778998,0.33277094,0.00022780205,0.000039588198,0.0012868963,0.003812728,0.0015123494,0.012195595,0.0009112,0.6468347,0.000049314516],"about_ca_topic_score_codex":0.1585368,"about_ca_topic_score_gemma":0.5493094,"teacher_disagreement_score":0.1585368,"about_ca_system_score_codex":0.0014264522,"about_ca_system_score_gemma":0.0015084753,"threshold_uncertainty_score":0.49422532},"labels":[],"label_agreement":null},{"id":"W6910367751","doi":"10.48336/bp0m-cx42","title":"Rock mass characterization using ground penetrating radar (GPR), rotary-percussion drilling performance, and indentation test","year":2023,"lang":"en","type":"article","venue":"Memorial University Research Repository (Memorial University)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Ground-penetrating radar; Borehole; Rock mass classification; Lithology; Characterization (materials science); Excavation; Drilling; Engineering geology","score_opus":0.03254941917904264,"score_gpt":0.25972057589939385,"score_spread":0.2271711567203512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6910367751","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8492213,0.001683015,0.13959648,0.00019949647,0.000101517755,0.00023137606,0.00064708904,0.0006221457,0.0076975594],"genre_scores_gemma":[0.961849,0.0010089634,0.032487974,0.00006622509,0.000028196788,0.00012299899,0.00042311987,0.000045480643,0.003968113],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99920887,0.000052708554,0.000051313444,0.00009326964,0.000552121,0.000041787138],"domain_scores_gemma":[0.9992574,0.00017383466,0.00017085731,0.000068701986,0.00029814677,0.00003105827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064382085,0.00048080776,0.00029893927,0.001247021,0.0002512081,0.0005413319,0.00051050313,0.0005027896,0.0009753161],"category_scores_gemma":[0.001398595,0.00021464059,0.0003277811,0.0007723781,0.0003350734,0.00091535994,0.00036382742,0.00032099005,0.00042391327],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025383098,0.00013401374,0.017287645,0.0005988383,0.0000335004,0.0004294552,0.00066423503,0.0076888553,0.8376488,0.0012490484,0.0013250349,0.13268681],"study_design_scores_gemma":[0.000021206815,0.0014541999,0.06988474,0.00008409972,0.000091451555,0.0009792405,0.001303143,0.075012185,0.8402231,0.0007894888,0.010037626,0.000119591394],"about_ca_topic_score_codex":0.0005166819,"about_ca_topic_score_gemma":0.00083277666,"teacher_disagreement_score":0.001247021,"about_ca_system_score_codex":0.00014450891,"about_ca_system_score_gemma":0.00019307285,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W6921818307","doi":"10.1029/2006jf000585\"&gt;10.1029/2006jf000585&lt;/a&gt","title":"Geophysical mapping of ground ice using a combination of capacitive coupled resistivity and ground-penetrating radar, Northwest Territories, Canada","year":2011,"lang":"en","type":"article","venue":"Smithsonian Digital Repository (Smithsonian Institution)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Capacitive sensing; Electrical resistivity and conductivity; Magnetotellurics; Temperature measurement; Ground-penetrating radar; Electric resistivity","score_opus":0.016141725309660453,"score_gpt":0.20254992814931014,"score_spread":0.18640820283964968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6921818307","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9129075,0.0017417776,0.008543465,0.0009785648,0.000075769116,0.0002580875,0.02218548,0.00041779364,0.05289159],"genre_scores_gemma":[0.95800394,0.0013361138,0.014208215,0.00010420376,0.000015337506,0.000051115607,0.0046807346,0.00006420401,0.021536132],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99983644,0.000007185733,0.000005128448,0.000022952763,0.000098099335,0.000030150444],"domain_scores_gemma":[0.9994742,0.000023336996,0.0000263677,0.000011302083,0.0004231202,0.00004170228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002283368,0.0002427565,0.00016688318,0.0013993783,0.0013106863,0.0009745841,0.0005377431,0.0002165038,0.0017330165],"category_scores_gemma":[0.0005457295,0.00019282337,0.00012360573,0.0025104806,0.00032025034,0.00039507585,0.0003841291,0.00025954747,0.0003456657],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003932078,0.00029195845,0.50869477,0.00057209056,0.000263838,0.0010667824,0.0035123625,0.025357941,0.056852974,0.003063236,0.03897741,0.36095354],"study_design_scores_gemma":[0.00006377487,0.000040956398,0.9135347,0.00016550398,0.000100903075,0.00024467605,0.0030189538,0.033000015,0.007816678,0.00039071534,0.041554786,0.00006842853],"about_ca_topic_score_codex":0.987983,"about_ca_topic_score_gemma":0.9957153,"teacher_disagreement_score":0.012017012,"about_ca_system_score_codex":0.0052234,"about_ca_system_score_gemma":0.018900067,"threshold_uncertainty_score":0.03789854},"labels":[],"label_agreement":null},{"id":"W6943796338","doi":"10.17026/dans-zey-m5c6","title":"De verdwenen graven in Boekel","year":2021,"lang":"en","type":"dataset","venue":"DANS Data Station Archaeology","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kelowna General Hospital","funders":"","keywords":"Object (grammar); Natural (archaeology); Carving","score_opus":0.032077205668786905,"score_gpt":0.3160531518733705,"score_spread":0.2839759462045836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6943796338","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008506864,0.000084721665,0.00004779991,0.000034756842,0.00001735683,0.0000044600515,0.9981988,0.00012634318,0.00063505356],"genre_scores_gemma":[0.0011257132,0.000055865625,0.0001873715,0.000015017514,0.000003886606,0.000018283486,0.9977189,0.00003961451,0.0008354103],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995437,0.000045009325,0.000032374075,0.00018615715,0.000098615514,0.000093995186],"domain_scores_gemma":[0.9995801,0.0000705948,0.00006341476,0.00008495338,0.00012914052,0.000071820934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004333478,0.0015429894,0.0010809607,0.0023186288,0.00061428983,0.0018643724,0.0011227867,0.001056332,0.03116955],"category_scores_gemma":[0.0013370037,0.0005154872,0.00065137906,0.0035827614,0.00033333056,0.0006601841,0.0010478916,0.0010007627,0.043366432],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016748444,0.000027239163,0.0038368183,0.00080980564,0.000049255737,0.00007497035,0.00009906312,0.000670016,0.00040866563,0.000563851,0.9866555,0.0066374014],"study_design_scores_gemma":[0.00019291729,0.000022331924,0.026205892,0.0003253172,0.00003870367,0.00009958593,0.00034279696,0.0007084044,0.0008157348,0.00072138436,0.9704897,0.00003719874],"about_ca_topic_score_codex":0.123395994,"about_ca_topic_score_gemma":0.23244345,"teacher_disagreement_score":0.123395994,"about_ca_system_score_codex":0.0011076608,"about_ca_system_score_gemma":0.0015053228,"threshold_uncertainty_score":0.24535549},"labels":[],"label_agreement":null},{"id":"W69786986","doi":"10.1007/978-0-387-37731-5_69","title":"Comparison of Seismic Migration and Stripmap SAR Imaging methods for GPR for Landmine Detection","year":2007,"lang":"en","type":"book-chapter","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Ground-penetrating radar; Seismic migration; Geology; Inversion (geology); Synthetic aperture radar; Scattering; Image (mathematics); Wavenumber; Computer science; Remote sensing; Seismology; Artificial intelligence; Radar; Physics; Optics; Telecommunications","score_opus":0.057522802208042234,"score_gpt":0.39230805425212584,"score_spread":0.3347852520440836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W69786986","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09897776,0.0050387224,0.8748159,0.00051399687,0.00035670988,0.000097351985,0.00041569045,0.0019411986,0.017842632],"genre_scores_gemma":[0.30774078,0.005122924,0.6674395,0.00019242788,0.00012064761,0.00008059345,0.0010371567,0.0007634601,0.017502546],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994837,0.00012582325,0.000020845839,0.00004637032,0.000296164,0.000027021864],"domain_scores_gemma":[0.9986008,0.0006741573,0.000057996593,0.00010327422,0.00054233073,0.000021454483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011044234,0.0005597987,0.0004980289,0.001167509,0.00014154261,0.0007342499,0.0005471399,0.00052859425,0.0029217978],"category_scores_gemma":[0.0026067346,0.0002463458,0.00033704325,0.0011136825,0.00021174118,0.0010971449,0.00038126993,0.00038921981,0.0009260103],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007730448,0.00010786057,0.002604517,0.00049528637,0.000108485314,0.000077156845,0.00018556173,0.021360047,0.042722415,0.005721864,0.006439338,0.9194045],"study_design_scores_gemma":[0.00013783359,0.0008008303,0.023214085,0.0001790928,0.0002690987,0.0019366608,0.0005675676,0.81076825,0.10970883,0.009955485,0.042297732,0.00016454663],"about_ca_topic_score_codex":0.0009704303,"about_ca_topic_score_gemma":0.0023918846,"teacher_disagreement_score":0.0029217978,"about_ca_system_score_codex":0.00022295587,"about_ca_system_score_gemma":0.00030822903,"threshold_uncertainty_score":0.009774387},"labels":[],"label_agreement":null},{"id":"W6987046595","doi":"","title":"Satellite sensing technology to monitor bridges and other civil infrastructures","year":2011,"lang":"en","type":"article","venue":"NPARC","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"Canadian Space Agency; Transport Canada","keywords":"Synthetic aperture radar; Radar; Metropolitan area; Civil infrastructure; Bridge (graph theory); Man-portable radar; Satellite; Interferometric synthetic aperture radar","score_opus":0.014403197566885958,"score_gpt":0.2494318394268951,"score_spread":0.23502864186000913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6987046595","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5457707,0.007654495,0.32545313,0.0015383542,0.00039754307,0.00034290703,0.0021689883,0.0022967055,0.11437713],"genre_scores_gemma":[0.8583619,0.0032690226,0.1214037,0.0004587638,0.00010540675,0.00013466745,0.00091327046,0.00003866715,0.015314479],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99983,0.000027618627,0.0000037435611,0.000024359248,0.000102428705,0.000011878702],"domain_scores_gemma":[0.9998846,0.000023531751,0.000020844538,0.000018408226,0.000043213546,0.000009346467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017848596,0.00024146037,0.000118627126,0.0006779013,0.00014144291,0.00027112826,0.00019565455,0.00029841275,0.0017828351],"category_scores_gemma":[0.00028165278,0.0001059082,0.00010259674,0.0007692039,0.00014666522,0.00029986925,0.00025827542,0.00019527992,0.00056527165],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011824008,0.00014004395,0.017582648,0.00033718048,0.000074340256,0.00019054968,0.0002701122,0.011093157,0.4533017,0.004833945,0.007873867,0.50418425],"study_design_scores_gemma":[0.00014535927,0.0021504108,0.17832942,0.00027557064,0.0003318062,0.002901011,0.0011509134,0.2223459,0.380652,0.01299101,0.19858699,0.0001395988],"about_ca_topic_score_codex":0.0027393198,"about_ca_topic_score_gemma":0.005568929,"teacher_disagreement_score":0.0027393198,"about_ca_system_score_codex":0.00023859381,"about_ca_system_score_gemma":0.00026284056,"threshold_uncertainty_score":0.00596416},"labels":[],"label_agreement":null},{"id":"W7002045746","doi":"","title":"+91-9829791419#$ Love Vashikaran Specialist In Kochi, Kottayam","year":2021,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mantra; Spell; MAGIC (telescope); Unicorn; Curse; Blessing","score_opus":0.01487744370062098,"score_gpt":0.2638112588738385,"score_spread":0.24893381517321753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7002045746","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011021363,0.0011197838,0.0005895295,0.0025496448,0.0018879323,0.00010897776,0.0012291615,0.0018445202,0.9895683],"genre_scores_gemma":[0.0014994843,0.00031979158,0.00024229061,0.0005412497,0.00013146055,0.000019915546,0.0003556676,0.00026124736,0.9966288],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995521,0.000032678774,0.000020973217,0.00015203006,0.00015367172,0.00008853825],"domain_scores_gemma":[0.9980106,0.00015942883,0.00008122903,0.000115578725,0.0005060428,0.0011271465],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00044574458,0.000958269,0.0008996101,0.0009532265,0.0027196284,0.0042837737,0.001123037,0.0016670797,0.94142324],"category_scores_gemma":[0.0015415709,0.00045351865,0.00044970535,0.0010636516,0.00041245983,0.0024402228,0.0031247209,0.0014946053,0.9149825],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067957255,0.000075736636,0.0004196893,0.0001770957,0.000004068773,0.00015625035,0.00016187811,0.000050659375,0.0010112944,0.0017212365,0.87818617,0.11796806],"study_design_scores_gemma":[0.000008973163,0.000029895857,0.00064059574,0.00005909616,0.000003668337,0.000245399,0.00016657055,0.000055138553,0.00013174264,0.00016954416,0.99848276,0.0000066281996],"about_ca_topic_score_codex":0.0017436999,"about_ca_topic_score_gemma":0.0039125965,"teacher_disagreement_score":0.058576763,"about_ca_system_score_codex":0.0006772042,"about_ca_system_score_gemma":0.001052757,"threshold_uncertainty_score":0.08355266},"labels":[],"label_agreement":null},{"id":"W7020075664","doi":"","title":"Investigating proglacial groundwater systems in the Quilcayhuanca and Yanamarey Pampas, Cordillera Blanca, Peru","year":2011,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McGill University","keywords":"Water table; Hydrology (agriculture); Groundwater; Outwash plain; Table (database); Groundwater recharge; Aquifer; Soil water; Surface runoff; Sedimentary rock","score_opus":0.02288226653518567,"score_gpt":0.2387655434456495,"score_spread":0.21588327691046383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7020075664","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99824595,0.00008774591,0.0002638458,0.000045815563,6.715756e-7,0.000029304043,0.00016078459,0.0000133654385,0.0011525252],"genre_scores_gemma":[0.99881977,0.000092606366,0.00044625075,0.000014865225,0.0000014600042,0.00003116314,0.00021732747,0.000002038896,0.00037453967],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99993014,0.000008671347,0.00000293157,0.000024102308,0.000014364969,0.000019698238],"domain_scores_gemma":[0.9998901,0.000019373105,0.000025172,0.0000060525135,0.00004315802,0.000016183423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000097329474,0.00017520848,0.00018085625,0.00085925503,0.0005820531,0.0005141689,0.00030584395,0.00035436472,0.000559764],"category_scores_gemma":[0.0003866437,0.00015980432,0.00012264874,0.0012132874,0.0003084098,0.00038204688,0.00051545555,0.00017311245,0.00008217313],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013178373,0.0001227898,0.91723585,0.00015567864,0.000054565226,0.0013786486,0.0064521837,0.0021104156,0.038999304,0.0003705612,0.00033357204,0.032654528],"study_design_scores_gemma":[0.000008436222,0.00007377382,0.99189234,0.00001010513,0.000015987258,0.00016439962,0.0031145872,0.002753638,0.0009045188,0.00007514879,0.0009791808,0.00000784404],"about_ca_topic_score_codex":0.105061755,"about_ca_topic_score_gemma":0.23051131,"teacher_disagreement_score":0.105061755,"about_ca_system_score_codex":0.00074992795,"about_ca_system_score_gemma":0.0005618714,"threshold_uncertainty_score":0.20890051},"labels":[],"label_agreement":null},{"id":"W7027763291","doi":"","title":"Drone-based ground-penetrating radar for glaciological applications","year":2024,"lang":"en","type":"dissertation","venue":"IRIS","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ground-penetrating radar; Radar; Glacier; Climate change; Sea ice; Glaciology; Synthetic aperture radar","score_opus":0.02151352705007569,"score_gpt":0.309205497664948,"score_spread":0.2876919706148723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7027763291","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07494846,0.0075005544,0.86461383,0.00079955347,0.00063337287,0.00054883945,0.0018865989,0.011345326,0.03772345],"genre_scores_gemma":[0.4217597,0.008774724,0.5309802,0.0010997311,0.0002595357,0.000421015,0.0036119132,0.00056543754,0.032527775],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99982315,0.000026411139,0.0000071589407,0.000031452244,0.00009294088,0.000018877745],"domain_scores_gemma":[0.99978966,0.000045240504,0.000018563336,0.000047165762,0.00008448912,0.000014887651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030430473,0.00046230824,0.00024636858,0.0004645326,0.0001051305,0.00050382543,0.00043437787,0.00065447454,0.0057578715],"category_scores_gemma":[0.00039717427,0.00018478335,0.0002428748,0.00045796396,0.000110835426,0.0005397301,0.00040516476,0.0005728121,0.0030978126],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001970249,0.00013141207,0.0018606771,0.00051309913,0.000044973538,0.0004191431,0.00023711746,0.006961966,0.41434002,0.0052770386,0.023998223,0.5460192],"study_design_scores_gemma":[0.00018105579,0.0010633104,0.010797468,0.00037092704,0.00015831119,0.002481304,0.00038108503,0.21247977,0.26242176,0.0056559546,0.5038618,0.00014727602],"about_ca_topic_score_codex":0.00047124983,"about_ca_topic_score_gemma":0.0005739631,"teacher_disagreement_score":0.0057578715,"about_ca_system_score_codex":0.00015691142,"about_ca_system_score_gemma":0.00021914055,"threshold_uncertainty_score":0.019262016},"labels":[],"label_agreement":null},{"id":"W7027934312","doi":"","title":"Denis Monière et Catherine Bertho Lavenir, Michèle Lalonde. Penser l’émancipation, Montréal, L’Action nationale Éditeur, 2025, 310 pages","year":2025,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Verisimilitude; Order (exchange); Exhibition","score_opus":0.012872233333393933,"score_gpt":0.21838259201360324,"score_spread":0.2055103586802093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7027934312","genre_codex":"review","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011121726,0.71183914,0.006813481,0.10352111,0.040371604,0.000060959672,0.0013000185,0.0008619518,0.13411959],"genre_scores_gemma":[0.015878905,0.29852003,0.0043948353,0.0087903915,0.008164129,0.000088481385,0.00085955084,0.001201134,0.6621026],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99727005,0.0004889616,0.00008153308,0.00039805783,0.0015038399,0.00025752114],"domain_scores_gemma":[0.99724835,0.0006244927,0.00016301293,0.000108402746,0.0014552649,0.00040053687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019742262,0.0016585957,0.0011045719,0.0017963646,0.0024000166,0.004637532,0.0013071713,0.0020506645,0.07968544],"category_scores_gemma":[0.005614097,0.0006447017,0.00053999666,0.0030117147,0.0019661635,0.004089431,0.0020032227,0.0035321603,0.037067678],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032289994,0.000009263731,0.0001983306,0.00031818534,0.000009350056,0.000048981772,0.00048559986,0.00009228007,0.00027408413,0.008997537,0.90132797,0.08820625],"study_design_scores_gemma":[0.000002353212,0.0000029880682,0.00036768123,0.000116504125,0.0000028835539,0.00005565747,0.00018304566,0.000028369423,0.0001341462,0.00066490396,0.99843436,0.000007055581],"about_ca_topic_score_codex":0.1864633,"about_ca_topic_score_gemma":0.23521036,"teacher_disagreement_score":0.1864633,"about_ca_system_score_codex":0.00645527,"about_ca_system_score_gemma":0.0073421597,"threshold_uncertainty_score":0.3707559},"labels":[],"label_agreement":null},{"id":"W7032324","doi":"10.1007/3-540-28680-2_5","title":"The Application of Ground Penetrating Radar (GPR) at Machu Picchu, Peru (C101-1)","year":2005,"lang":"en","type":"book-chapter","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geological Survey of Canada; Natural Resources Canada","funders":"","keywords":"Bedrock; Ground-penetrating radar; Geology; Geophysical survey; Fault plane; Facies; Fault (geology); Radar; Spring (device); Geomorphology; Archaeology; Seismology; Geography; Geophysics; Engineering","score_opus":0.013878374222937563,"score_gpt":0.2380078464071772,"score_spread":0.22412947218423965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7032324","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.070769824,0.038020115,0.04799812,0.010183379,0.0010386505,0.0003237084,0.00148816,0.0016041074,0.82857394],"genre_scores_gemma":[0.15955922,0.038642205,0.051617473,0.0012082509,0.0004309622,0.0001492515,0.0015630894,0.0006996545,0.74612993],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99986386,0.000025868474,0.000005481505,0.000034143846,0.000053480933,0.000017126447],"domain_scores_gemma":[0.99987483,0.000030822735,0.000006661614,0.000015016561,0.000060907445,0.00001172439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041089812,0.00038636607,0.00018338407,0.0009217743,0.0007310553,0.0010905593,0.00048703264,0.0008123299,0.01569052],"category_scores_gemma":[0.00038086396,0.00036394244,0.00017493338,0.0012892577,0.00038364183,0.0009397182,0.001115232,0.0008797119,0.006245031],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005517358,0.000056955865,0.0040691276,0.00045543126,0.000009952448,0.0011750605,0.001980235,0.0010001393,0.023013888,0.020943316,0.058082927,0.8891578],"study_design_scores_gemma":[0.000006057195,0.00016852513,0.015858347,0.0002014431,0.000013120215,0.0027504521,0.00057031604,0.0010182289,0.008895608,0.0036963988,0.9667975,0.000024037732],"about_ca_topic_score_codex":0.005168898,"about_ca_topic_score_gemma":0.010623569,"teacher_disagreement_score":0.01569052,"about_ca_system_score_codex":0.00061502506,"about_ca_system_score_gemma":0.0006831666,"threshold_uncertainty_score":0.052490056},"labels":[],"label_agreement":null},{"id":"W7041150306","doi":"","title":"Obesity in adults","year":2011,"lang":"en","type":"article","venue":"Europe PMC (PubMed Central)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Overweight; Obesity; Quarter (Canadian coin); Population; Medical prescription; Body weight; Diabetes mellitus; Incidence (geometry)","score_opus":0.019295558433956254,"score_gpt":0.2042247841946824,"score_spread":0.18492922576072615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7041150306","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.405543,0.20373854,0.0015689511,0.04219935,0.010224691,0.00080387486,0.041342348,0.0003556463,0.2942236],"genre_scores_gemma":[0.72863305,0.13933113,0.0031645254,0.035253696,0.004238633,0.0010450685,0.021264745,0.00007291862,0.06699623],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99970067,0.000030732317,0.000043659937,0.00004836647,0.00012259162,0.00005407152],"domain_scores_gemma":[0.99973196,0.000016794864,0.00007958085,0.000011629791,0.00007200544,0.00008804363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034533485,0.00021943766,0.00032893123,0.00077942543,0.00068400736,0.0006497174,0.00022648016,0.00082481303,0.010818622],"category_scores_gemma":[0.0011698934,0.00014002701,0.000382058,0.0014382743,0.00016179956,0.000691557,0.000517997,0.0013491792,0.0029896507],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020685156,0.0003351954,0.52919096,0.0010852509,0.00017112786,0.000852451,0.0013035046,0.000051615378,0.0006076963,0.002901439,0.21221998,0.2510739],"study_design_scores_gemma":[0.00003107875,0.00017305084,0.8113508,0.0016445185,0.000106004205,0.0027129664,0.0009821272,0.000056325796,0.00005979827,0.0010020826,0.18185864,0.000022606671],"about_ca_topic_score_codex":0.012615145,"about_ca_topic_score_gemma":0.015953073,"teacher_disagreement_score":0.012615145,"about_ca_system_score_codex":0.00023815606,"about_ca_system_score_gemma":0.00047510286,"threshold_uncertainty_score":0.03619194},"labels":[],"label_agreement":null},{"id":"W7070661921","doi":"","title":"Quantification of the relationship between surface morphodynamics and subsurface sedimentological product in sandy braided rivers","year":2013,"lang":"en","type":"article","venue":"University of Brighton Repository (University of Brighton)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Facies; Beach morphodynamics; Flood myth; Erosion; Sedimentary depositional environment; Digital elevation model; Ground-penetrating radar; Trench; Deposition (geology)","score_opus":0.01690547384758646,"score_gpt":0.19204280545208233,"score_spread":0.17513733160449588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070661921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992592,0.000020494146,0.00024683404,0.0000047738986,3.0652924e-7,0.0000023263087,0.00024426728,0.000008021338,0.00021372893],"genre_scores_gemma":[0.99866617,0.000021079899,0.0003502902,0.0000028797242,5.197168e-7,0.0000036147712,0.0008070716,0.0000023804912,0.0001459784],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997632,0.000033687164,0.000018402587,0.00007915137,0.000048984115,0.000056611403],"domain_scores_gemma":[0.9994143,0.00018802223,0.00013311466,0.00005040782,0.0001555639,0.000058585287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002627356,0.0001814636,0.00017943213,0.0010232847,0.00019170712,0.0009195401,0.00017922898,0.00021684052,0.00043126653],"category_scores_gemma":[0.0010718349,0.00019781983,0.0001467686,0.001198331,0.00033862834,0.0003110752,0.00044851308,0.00014398295,0.00011009765],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032673277,0.000008384928,0.99103945,0.000009023855,0.000028972274,0.000051158637,0.00016487112,0.0012671379,0.0020620876,0.000046185545,0.00005273539,0.005237308],"study_design_scores_gemma":[9.2058866e-7,0.000006965127,0.9973514,0.000002307422,0.0000046054156,0.00002640828,0.00023948746,0.0020992835,0.000121162106,0.000019669787,0.00012459092,0.0000031846919],"about_ca_topic_score_codex":0.11460328,"about_ca_topic_score_gemma":0.26067513,"teacher_disagreement_score":0.11460328,"about_ca_system_score_codex":0.000914686,"about_ca_system_score_gemma":0.0005416669,"threshold_uncertainty_score":0.22787243},"labels":[],"label_agreement":null},{"id":"W7072231850","doi":"","title":"Watermain breaks: location, location, location","year":2005,"lang":"en","type":"article","venue":"NPARC","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"","score_opus":0.008669195847834248,"score_gpt":0.23570348226721302,"score_spread":0.22703428641937878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7072231850","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05499603,0.0027596392,0.10443631,0.007165588,0.005852037,0.00095778366,0.48698178,0.009589582,0.32726127],"genre_scores_gemma":[0.29823142,0.0025003774,0.08432926,0.00038535855,0.00059832534,0.0005734474,0.25507408,0.0017008509,0.35660687],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9995383,0.00005167314,0.000032130236,0.000101881684,0.00021206606,0.00006385609],"domain_scores_gemma":[0.99906844,0.00009478077,0.00011699433,0.00017216252,0.00042738908,0.00012019041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005404879,0.00046403345,0.00043413878,0.0017111714,0.0006606823,0.0019354314,0.00097428146,0.0013303821,0.04606159],"category_scores_gemma":[0.0024891319,0.00041220788,0.0003365234,0.0043217633,0.0005193687,0.0016689308,0.00087481475,0.0013179397,0.026776277],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018639278,0.00007078425,0.025547078,0.00030005185,0.000030330557,0.00021701602,0.00052436773,0.0049326573,0.0013102107,0.011280336,0.7762884,0.17931248],"study_design_scores_gemma":[0.00006114123,0.00006697526,0.07298402,0.00016299417,0.000059096335,0.00041076695,0.0017865982,0.016256673,0.0024832496,0.010373758,0.895263,0.00009166857],"about_ca_topic_score_codex":0.057129048,"about_ca_topic_score_gemma":0.09237354,"teacher_disagreement_score":0.057129048,"about_ca_system_score_codex":0.0012110261,"about_ca_system_score_gemma":0.0026843997,"threshold_uncertainty_score":0.15409142},"labels":[],"label_agreement":null},{"id":"W7084132068","doi":"10.1016/j.addicn.2025.100240","title":"Sex-specific transcriptional signatures of oxycodone persist during withdrawal and abstinence in the suprachiasmatic nucleus of heterogeneous stock rats","year":2025,"lang":"en","type":"article","venue":"Addiction Neuroscience","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; National Institute on Drug Abuse; National Heart, Lung, and Blood Institute; Fonds de Recherche du Québec - Santé; National Institutes of Health; Australasian Association of Philosophy","keywords":"Suprachiasmatic nucleus; Opioid; Circadian rhythm; Neurotransmitter; Oxycodone; Neurotransmitter systems; Central nucleus of the amygdala; Hypothalamus","score_opus":0.01198513845232367,"score_gpt":0.2335840254337498,"score_spread":0.22159888698142613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084132068","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972258,0.0005810495,0.00064295984,0.000050465896,0.0000169355,0.000006477456,0.0011545232,0.000021569704,0.0003002531],"genre_scores_gemma":[0.99341077,0.00061241986,0.00075187784,0.00012987791,0.000011786713,0.000061117906,0.0017004785,0.00004217749,0.003279459],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99987483,0.000006825979,0.0000063338216,0.000051539813,0.000028638091,0.00003187053],"domain_scores_gemma":[0.9998425,0.000011569292,0.000060504284,0.00001209082,0.000029338877,0.000043862878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007809658,0.00019294456,0.0002815741,0.0004025092,0.00015743221,0.00023983567,0.00010201724,0.0001496592,0.0012167866],"category_scores_gemma":[0.0001314701,0.00015283872,0.0003236345,0.00019289416,0.0002542713,0.00013835629,0.00024991093,0.00042817334,0.00017271248],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008076038,0.0000577132,0.024627306,0.000052175797,0.00006165355,0.00012718508,0.00014658525,0.00006184299,0.9679396,0.000099417135,0.00016605994,0.0058529046],"study_design_scores_gemma":[0.000036075307,0.00062041555,0.89694613,0.000023131723,0.00013233682,0.00038201467,0.00052977866,0.000666945,0.09873299,0.00019638239,0.0016960094,0.000037706817],"about_ca_topic_score_codex":0.0022257862,"about_ca_topic_score_gemma":0.0049704714,"teacher_disagreement_score":0.0022257862,"about_ca_system_score_codex":0.00018632256,"about_ca_system_score_gemma":0.00021484944,"threshold_uncertainty_score":0.0044255853},"labels":[],"label_agreement":null},{"id":"W7096368421","doi":"","title":"VISTA- A Visual Interface for Software Reuse in TROMLAB Environment","year":2014,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Software; Reuse; Interface (matter); User interface; Column (typography); Object (grammar); Order (exchange)","score_opus":0.008296511243081199,"score_gpt":0.2574000910314203,"score_spread":0.2491035797883391,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096368421","genre_codex":"software","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0055516944,0.00069497613,0.39396238,0.0005954358,0.00035688435,0.00054800895,0.008149563,0.5480871,0.04205406],"genre_scores_gemma":[0.09173402,0.002048454,0.569909,0.0012990298,0.00026538366,0.0022900468,0.035481825,0.16082802,0.1361442],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99862075,0.00029497262,0.00015056161,0.00021309573,0.00057537114,0.00014529316],"domain_scores_gemma":[0.9975788,0.00091630785,0.00014923305,0.00064106623,0.00045681366,0.00025778863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023106171,0.0017650081,0.0008549226,0.0022616198,0.00061048847,0.0038191988,0.0022804195,0.00151418,0.108953685],"category_scores_gemma":[0.007340714,0.0009253707,0.0012598417,0.0011618033,0.00064232363,0.004393913,0.0047726464,0.0021270006,0.050266273],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001545592,0.00030612297,0.0021330998,0.0012822857,0.00014232461,0.00067578955,0.0021519081,0.005571188,0.02411247,0.026561603,0.50792545,0.42759222],"study_design_scores_gemma":[0.0003908562,0.00023903878,0.0021349308,0.0007350207,0.00006406341,0.00053819176,0.00034721525,0.04962353,0.013629732,0.019131685,0.9129507,0.0002150833],"about_ca_topic_score_codex":0.005819027,"about_ca_topic_score_gemma":0.0071539837,"teacher_disagreement_score":0.108953685,"about_ca_system_score_codex":0.0006542924,"about_ca_system_score_gemma":0.0015887984,"threshold_uncertainty_score":0.3644864},"labels":[],"label_agreement":null},{"id":"W7097414472","doi":"","title":"Radio tomography and borehole radar delineation of the McConnell nickel sulphide deposit","year":2000,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Borehole; Radar; Nickel sulfide; Sulfide; Radar imaging; Nickel","score_opus":0.0058990367652064874,"score_gpt":0.2002900332129517,"score_spread":0.1943909964477452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097414472","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957119,0.000060528873,0.0018191232,0.000025369625,0.0000020215984,0.000015406324,0.00019811706,0.000027448037,0.0021400368],"genre_scores_gemma":[0.99586344,0.000042494863,0.0027661787,0.000005566511,0.0000014688667,0.0000055497662,0.00015942239,0.000003182871,0.0011527586],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999043,0.000010357765,0.0000050161448,0.000022041,0.000041345567,0.000016904627],"domain_scores_gemma":[0.9998394,0.000021448794,0.000056437446,0.000012214349,0.000051450825,0.000018873157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000120703844,0.00012684996,0.00005744103,0.0006858083,0.0001485892,0.00020494299,0.00023274761,0.00014135567,0.0006887672],"category_scores_gemma":[0.0004633355,0.000098196455,0.00005446656,0.0004106101,0.00020346383,0.00021173632,0.00024319878,0.00010866881,0.0001399612],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066982687,0.000097254786,0.46145898,0.00015254431,0.00002409611,0.0027001633,0.0032001415,0.014658038,0.41738614,0.0013502779,0.0013491247,0.0969535],"study_design_scores_gemma":[0.0000178211,0.00012397778,0.966618,0.000013275698,0.000008491619,0.0006319674,0.0007985846,0.01280035,0.015972363,0.00010591807,0.002894633,0.0000145671875],"about_ca_topic_score_codex":0.07046516,"about_ca_topic_score_gemma":0.22760125,"teacher_disagreement_score":0.07046516,"about_ca_system_score_codex":0.000509687,"about_ca_system_score_gemma":0.0006048085,"threshold_uncertainty_score":0.14011002},"labels":[],"label_agreement":null},{"id":"W7115810884","doi":"","title":"Multichannel 3-D Ground-Penetrating Radar (GPR) Imaging of Tree Root Architecture for Biomass Estimation","year":2018,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ground-penetrating radar; Radar; Azimuth; Root (linguistics); Root system; Biomass (ecology)","score_opus":0.010413811416166116,"score_gpt":0.22852978817721512,"score_spread":0.218115976761049,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7115810884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9699518,0.00045614428,0.027274545,0.000033205575,0.00000784043,0.00003895532,0.0005844555,0.00025095273,0.0014020813],"genre_scores_gemma":[0.95393157,0.00037944136,0.04468236,0.000026648155,0.000006413961,0.000015338179,0.0002567578,0.000028347236,0.0006732584],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99991167,0.00001363602,0.0000038006594,0.000021727674,0.000032922802,0.000016260863],"domain_scores_gemma":[0.99989617,0.00002767171,0.00001563337,0.000011356067,0.000039852082,0.000009376653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023589774,0.00025890706,0.00019916052,0.00053222984,0.00010330002,0.00031503657,0.0001923419,0.00021816406,0.0006757611],"category_scores_gemma":[0.00028017518,0.00014263002,0.00012240291,0.0003868765,0.00009325534,0.00021851253,0.00014709223,0.0001261957,0.0002012861],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017149257,0.000048844395,0.05359205,0.0001533428,0.000025305748,0.00023180518,0.00018240864,0.003052542,0.85602874,0.00012386616,0.0003858909,0.08600371],"study_design_scores_gemma":[0.00003312541,0.00039145994,0.820181,0.000031989377,0.00012648616,0.0012548312,0.0006603941,0.061468236,0.11113249,0.00024955595,0.004424323,0.000046169636],"about_ca_topic_score_codex":0.0073059695,"about_ca_topic_score_gemma":0.03398102,"teacher_disagreement_score":0.0073059695,"about_ca_system_score_codex":0.00020491738,"about_ca_system_score_gemma":0.00023871848,"threshold_uncertainty_score":0.014526904},"labels":[],"label_agreement":null},{"id":"W7127567090","doi":"10.1145/3769002.3769961","title":"Ground Penetrating Radar Image Analysis for Underground Barrier Detection by Combining YOLOv12 with Channel-wise Attention and Denoising Auto-Encoder","year":2025,"lang":"","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Movement Disorders","funders":"","keywords":"Ground-penetrating radar; Clutter; Noise reduction; Pipeline transport; Robustness (evolution); Noise (video); Image denoising; Radar","score_opus":0.010057737472683834,"score_gpt":0.258117691641254,"score_spread":0.24805995416857013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7127567090","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.083800316,0.0008084218,0.91037464,0.00015126652,0.00009047642,0.00006366795,0.0001747318,0.0025531158,0.0019833725],"genre_scores_gemma":[0.6746201,0.00069448247,0.31440622,0.0002993555,0.000094591225,0.00008930199,0.0012077974,0.00026036848,0.008327819],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997305,0.000031602216,0.000013412252,0.00007856438,0.00009746512,0.00004836012],"domain_scores_gemma":[0.99971,0.0000614408,0.00003519178,0.000039529616,0.00012921744,0.000024623507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047540475,0.00079464406,0.00074104604,0.00070300634,0.00017403082,0.0004980246,0.0008205966,0.00054397836,0.0011788326],"category_scores_gemma":[0.0009698421,0.00023843642,0.00060406077,0.00044296036,0.00027110628,0.000578688,0.00080074946,0.0006852053,0.0007173236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035420182,0.00019209724,0.0037351404,0.0001805909,0.00013168222,0.00016106434,0.000088285095,0.097150415,0.12616502,0.002304746,0.0037902389,0.76574653],"study_design_scores_gemma":[0.000012142596,0.000117734475,0.0025863547,0.00001461901,0.00005502056,0.00013528946,0.000027214406,0.958587,0.03589265,0.0008569802,0.0016986213,0.000016295593],"about_ca_topic_score_codex":0.004851555,"about_ca_topic_score_gemma":0.007662741,"teacher_disagreement_score":0.004851555,"about_ca_system_score_codex":0.00031510717,"about_ca_system_score_gemma":0.00078507507,"threshold_uncertainty_score":0.0096465945},"labels":[],"label_agreement":null},{"id":"W7132887395","doi":"","title":"Uncertainty management method for a terrain scanning robot","year":2002,"lang":"","type":"dissertation","venue":"TSpace","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto","keywords":"Terrain; Sensor fusion; Kalman filter; Motion planning; Process (computing); Mobile robot; Obstacle avoidance; Filter (signal processing); Obstacle; Robot","score_opus":0.030972801101093708,"score_gpt":0.3823364938506162,"score_spread":0.3513636927495225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132887395","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003763173,0.00012789572,0.99098676,0.00014598071,0.0000375284,0.000052011677,0.000024542114,0.00016927616,0.004692767],"genre_scores_gemma":[0.47226226,0.00049601914,0.5101198,0.00016170976,0.00013856866,0.00049632724,0.00020196868,0.00009853127,0.016024867],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996269,0.00006677741,0.000023425746,0.000093430644,0.00016017175,0.00002930241],"domain_scores_gemma":[0.99968255,0.00012173799,0.00003952612,0.000022191309,0.00012104985,0.0000128578795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006450742,0.0005751665,0.00047407908,0.0006728826,0.00075261266,0.0010147783,0.000836478,0.0006882085,0.0057961866],"category_scores_gemma":[0.0013047825,0.00024170637,0.0007209435,0.00036326147,0.000539413,0.00075029256,0.0009058905,0.00085921003,0.0007782284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008953414,0.00004664351,0.00090058113,0.00024068919,0.000060768387,0.00036001042,0.00039562417,0.60680723,0.012524565,0.09324392,0.0037509082,0.2815795],"study_design_scores_gemma":[0.0000099672925,0.00003703373,0.00016659783,0.00001978633,0.0000132368705,0.000073390656,0.000047716105,0.9797324,0.001931979,0.012352573,0.005601355,0.000014003901],"about_ca_topic_score_codex":0.003513179,"about_ca_topic_score_gemma":0.002417526,"teacher_disagreement_score":0.0057961866,"about_ca_system_score_codex":0.0007207625,"about_ca_system_score_gemma":0.0011601642,"threshold_uncertainty_score":0.019390225},"labels":[],"label_agreement":null},{"id":"W7135253279","doi":"","title":"Assessing the benefits of Ground Penetrating Radar technology - Does it improve the accuracy of FWD results and Overlay design?","year":2012,"lang":"en","type":"article","venue":"ANU Open Research (Australian National University)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Overlay; Ground-penetrating radar; Falling weight deflectometer; Subgrade; Pavement management; Pavement engineering; Asset management; Deflection (physics)","score_opus":0.1685149910138127,"score_gpt":0.4022868813553532,"score_spread":0.23377189034154047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7135253279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9400479,0.004936125,0.030474402,0.002495201,0.0001371467,0.00023685662,0.0010385468,0.00032548132,0.020308295],"genre_scores_gemma":[0.96828073,0.0015264254,0.028573882,0.00018291861,0.000039764647,0.000020414795,0.00031391383,0.000045327848,0.0010166343],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9944094,0.001669513,0.000292509,0.0004185715,0.0028630628,0.00034685145],"domain_scores_gemma":[0.9869615,0.0043900604,0.0018911527,0.0010431992,0.005414452,0.00029954215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011308122,0.0008651142,0.0007087772,0.0019545672,0.0003709925,0.0032382756,0.0012762564,0.0018254572,0.0021925108],"category_scores_gemma":[0.027134387,0.00041755475,0.0005381587,0.0016167121,0.000994224,0.004812189,0.0011095585,0.0005236841,0.00090605405],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006531897,0.00029056604,0.62289506,0.0007508208,0.00038326342,0.0004036981,0.0007403945,0.025045242,0.018005019,0.0019847744,0.001676324,0.32717168],"study_design_scores_gemma":[0.00009360457,0.0015748512,0.87715274,0.00039822006,0.00074136624,0.00088709366,0.004626887,0.072554775,0.023871237,0.0038779501,0.014040821,0.00018037368],"about_ca_topic_score_codex":0.027010115,"about_ca_topic_score_gemma":0.0793494,"teacher_disagreement_score":0.027010115,"about_ca_system_score_codex":0.002111179,"about_ca_system_score_gemma":0.0013553281,"threshold_uncertainty_score":0.059803784},"labels":[],"label_agreement":null},{"id":"W7149246206","doi":"10.70675/011d96b6z08d6z4909z848ez15b641d379de","title":"Couplage de mesures géophysiques pour la reconnaissance des digues en terre : application du data mining","year":2020,"lang":"","type":"dissertation","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Western europe; Nova scotia; Context (archaeology)","score_opus":0.03764710448396902,"score_gpt":0.34625071891456594,"score_spread":0.3086036144305969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7149246206","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2989434,0.0016064515,0.6793733,0.0012032271,0.00022225223,0.00051599747,0.0039142105,0.0069581983,0.0072628753],"genre_scores_gemma":[0.52418166,0.00073655765,0.46730405,0.00013408263,0.000042776737,0.00020331482,0.002903576,0.00023399161,0.0042599817],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99883085,0.00018568142,0.00013211348,0.00029042264,0.00045599134,0.00010477942],"domain_scores_gemma":[0.9984706,0.0004976751,0.00015699277,0.00021288394,0.00057888165,0.00008301549],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001648217,0.0013476413,0.0010920573,0.0033729686,0.00071091385,0.0020324548,0.0013633826,0.001764757,0.0015409095],"category_scores_gemma":[0.0029657036,0.00060556177,0.0013591199,0.0036045993,0.00040768,0.0011305037,0.001165686,0.0008818856,0.00087890035],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042314283,0.0004991093,0.059390165,0.00093564787,0.0003276943,0.0012921364,0.0012261559,0.18178645,0.044111203,0.0020453548,0.004351144,0.70361173],"study_design_scores_gemma":[0.00006843684,0.00029182082,0.035148237,0.00017883876,0.00012382613,0.00059929286,0.0016100063,0.8845145,0.048692714,0.004215502,0.024444664,0.00011227683],"about_ca_topic_score_codex":0.023760846,"about_ca_topic_score_gemma":0.02300697,"teacher_disagreement_score":0.023760846,"about_ca_system_score_codex":0.0008512435,"about_ca_system_score_gemma":0.0014570549,"threshold_uncertainty_score":0.047245085},"labels":[],"label_agreement":null},{"id":"W74234200","doi":"10.5006/c2000-00741","title":"Practical Telluric Compensation for Pipeline Close Interval Survey","year":2000,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"TransCanada (Canada)","funders":"","keywords":"Pipeline (software); Compensation (psychology); Interval (graph theory); Petroleum engineering; Computer science; Geology; Forensic engineering; Engineering; Mechanical engineering; Mathematics","score_opus":0.05857730978614081,"score_gpt":0.34515869063524923,"score_spread":0.28658138084910845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W74234200","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18836911,0.0003146597,0.8016187,0.00020760778,0.00014277712,0.000069683025,0.00021924784,0.0038996153,0.0051586283],"genre_scores_gemma":[0.8037972,0.00010955528,0.19334874,0.00005426163,0.000031727865,0.00003705661,0.0001819914,0.00008879108,0.0023507536],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991032,0.00021431786,0.000026610129,0.00018468483,0.0004073268,0.00006396515],"domain_scores_gemma":[0.9989214,0.00028455423,0.00012770621,0.00021589974,0.0004023507,0.000048094604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000631631,0.0003687193,0.00032102037,0.0006933748,0.00042453705,0.00046973597,0.00086795376,0.0005565383,0.0031219444],"category_scores_gemma":[0.002608807,0.00025297227,0.00017005602,0.0010029074,0.00023701391,0.0006434841,0.00045493757,0.00047352427,0.0009653778],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011446732,0.00011764803,0.0125453975,0.0002709272,0.000034328685,0.00015036741,0.00036727113,0.013029653,0.458284,0.0037230705,0.003992944,0.5063398],"study_design_scores_gemma":[0.00015354798,0.00071568124,0.034462556,0.000043354954,0.00009751163,0.00073610316,0.00024247011,0.31653488,0.61865604,0.0025256353,0.025748039,0.00008415622],"about_ca_topic_score_codex":0.0015782597,"about_ca_topic_score_gemma":0.003061936,"teacher_disagreement_score":0.0031219444,"about_ca_system_score_codex":0.0004292817,"about_ca_system_score_gemma":0.00042161852,"threshold_uncertainty_score":0.010443926},"labels":[],"label_agreement":null},{"id":"W838726688","doi":"","title":"Development of an Interfacial Tracer Test for DNAPL Entrapped in Discrete Fractured Rock","year":2004,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Innovation Trust","keywords":"TRACER; Geotechnical engineering; Geology; Petroleum engineering; Mining engineering; Test (biology); Environmental science; Engineering; Nuclear physics; Physics; Paleontology","score_opus":0.010835014434770314,"score_gpt":0.23318263949033172,"score_spread":0.2223476250555614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W838726688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9213764,0.0005489423,0.07685921,0.00004647516,0.000021835758,0.00018206802,0.00013574192,0.00018488051,0.0006443773],"genre_scores_gemma":[0.8721119,0.00079688395,0.12474931,0.00008426429,0.0000069530975,0.00036002256,0.00023928986,0.000030623523,0.0016208171],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999508,0.00008663683,0.000031897052,0.00010557561,0.00021756974,0.000050291397],"domain_scores_gemma":[0.9993875,0.00019087642,0.00014588503,0.000029591627,0.00020099367,0.00004514526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006112398,0.00030862747,0.0002715279,0.00050493,0.00018678361,0.00030858774,0.00052496,0.0005463887,0.00035180702],"category_scores_gemma":[0.0009651156,0.00020957914,0.00023617205,0.00037402895,0.00032656244,0.0005053583,0.00043666083,0.00039806942,0.00013704614],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006229424,0.000032789118,0.0013212435,0.000042016585,0.0000035900546,0.000031003343,0.000040428964,0.00012010358,0.9948605,0.000047092573,0.000009435363,0.0034295751],"study_design_scores_gemma":[0.000006887491,0.00069783285,0.0031794088,0.000006789323,0.00001227704,0.000084126514,0.000091152375,0.004230829,0.9912264,0.0000322367,0.00042157897,0.000010589799],"about_ca_topic_score_codex":0.0014224593,"about_ca_topic_score_gemma":0.0021380964,"teacher_disagreement_score":0.0014224593,"about_ca_system_score_codex":0.0002474628,"about_ca_system_score_gemma":0.00047110612,"threshold_uncertainty_score":0.0032325983},"labels":[],"label_agreement":null}]}