{"meta":{"query_hash":"ebf2de487aaa","filters":{"venue":"Second International Meeting for Applied Geoscience &amp; Energy"},"cohort_total":38,"direct_labels_cover":0,"predictions_cover":38,"exported":38,"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/ebf2de487aaa","api":"https://metacan.xera.ac/api/v1/cohort?venue=Second+International+Meeting+for+Applied+Geoscience+%26amp%3B+Energy"},"results":[{"id":"W4291716931","doi":"10.1190/image2022-3751513.1","title":"South Halfway 3D: An example of a challenging onshore acquisition and subsequent processing and a unique way of performing a prestack elastic inversion on a difficult dataset","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","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":"Prestack; Inversion (geology); Computer science; Geology; Computational science; Algorithm; Seismology","score_opus":0.028220450707845714,"score_gpt":0.23425931468441547,"score_spread":0.20603886397656976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291716931","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50498104,0.001037442,0.2877177,0.00581489,0.0017258252,0.0006730973,0.092689835,0.016875185,0.08848503],"genre_scores_gemma":[0.5037741,0.00057915645,0.39873317,0.0008111031,0.0001897984,0.00023679367,0.07589475,0.0035675368,0.016213592],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99932516,0.000044725664,0.000021933274,0.00013015146,0.00033828206,0.00013969648],"domain_scores_gemma":[0.99923086,0.00007661733,0.000032274747,0.00019395491,0.00034218119,0.0001240256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005937172,0.00067920145,0.00039433103,0.0013205914,0.0010488305,0.0010673307,0.0005827117,0.00071988965,0.009727786],"category_scores_gemma":[0.0011190083,0.0004060113,0.00047556273,0.0028718698,0.00050945237,0.00073695614,0.0015075648,0.001057286,0.004164037],"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":[0.0009115787,0.0007034148,0.07862185,0.0009528354,0.0003663488,0.0054241503,0.0027317083,0.020763641,0.22780724,0.0042849267,0.2728241,0.38460827],"study_design_scores_gemma":[0.00019506186,0.00033182788,0.32242218,0.0002684148,0.00013441393,0.005558934,0.0055454317,0.103899874,0.06944865,0.005866865,0.48597968,0.0003486432],"about_ca_topic_score_codex":0.03810549,"about_ca_topic_score_gemma":0.1892861,"teacher_disagreement_score":0.03810549,"about_ca_system_score_codex":0.00043264075,"about_ca_system_score_gemma":0.0022650948,"threshold_uncertainty_score":0.0757674},"labels":[],"label_agreement":null},{"id":"W4291717789","doi":"10.1190/image2022-3744488.1","title":"Interpolated fast and computational-efficient multidimensional singular spectrum analysis (I-FMSSA) for compressive simultaneous-source data processing","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Blind Source Separation Techniques","field":"Computer Science","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":"Interpolation (computer graphics); Computer science; Algorithm; Grid; Projection (relational algebra); Compressed sensing; Mathematics; Artificial intelligence; Geometry; Image (mathematics)","score_opus":0.02050509535983291,"score_gpt":0.28172349281984344,"score_spread":0.2612183974600105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291717789","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":[0.0047031543,0.000067054454,0.9944423,0.000044444223,0.000022619479,0.00001544699,0.00003418747,0.00027869182,0.0003921125],"genre_scores_gemma":[0.06705135,0.00010502376,0.93156636,0.000028797733,0.00003086645,0.000058320496,0.0001678147,0.00006573341,0.00092571613],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996681,0.00005518406,0.000019398418,0.000045757744,0.00018696731,0.000024578534],"domain_scores_gemma":[0.9995285,0.00014913225,0.000045819954,0.0001064914,0.00013896875,0.000031086347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004955286,0.0006677509,0.0004491388,0.00075832015,0.00042696402,0.0005458525,0.0006994972,0.0006168037,0.001790449],"category_scores_gemma":[0.0016369841,0.00027262882,0.0005721884,0.000757578,0.00051733287,0.0009760365,0.0010088288,0.0009161444,0.0008191383],"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":[0.00032212195,0.00011151241,0.0015266153,0.00022821256,0.000084727755,0.00023275227,0.00026458508,0.17514919,0.11017899,0.029272737,0.0042171525,0.67841136],"study_design_scores_gemma":[0.000019277353,0.000058791175,0.00037530143,0.00001375688,0.000009582287,0.0001704539,0.000026786935,0.95791507,0.029260337,0.0076425252,0.0044807727,0.000027343043],"about_ca_topic_score_codex":0.0015951352,"about_ca_topic_score_gemma":0.0031147832,"teacher_disagreement_score":0.001790449,"about_ca_system_score_codex":0.00028998606,"about_ca_system_score_gemma":0.0008989636,"threshold_uncertainty_score":0.005989611},"labels":[],"label_agreement":null},{"id":"W4291718005","doi":"10.1190/image2022-3745244.1","title":"Physics-based preconditioned multidimensional deconvolution in the time domain","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","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":"Kootenay Association for Science & Technology","funders":"","keywords":"Deconvolution; Physics; Time domain; Domain (mathematical analysis); Statistical physics; Computer science; Mathematical analysis; Optics; Mathematics; Computer vision","score_opus":0.012673946472050193,"score_gpt":0.22321546126098163,"score_spread":0.21054151478893143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291718005","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":[0.0018511291,0.00003924813,0.9966215,0.000086365115,0.000027315522,0.000020390637,0.000054166343,0.00011880971,0.0011810241],"genre_scores_gemma":[0.090540074,0.00036489795,0.9041098,0.00018225516,0.0000793447,0.0002831375,0.00037750968,0.0001884125,0.0038745624],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962974,0.00010257249,0.000027243,0.00005914199,0.0001492011,0.000032058797],"domain_scores_gemma":[0.9992617,0.00036378318,0.00009897487,0.00012046752,0.00012444479,0.000030556133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009016374,0.00085545424,0.0006368667,0.00043196804,0.00037798585,0.00090499246,0.000817849,0.0012120283,0.0036333203],"category_scores_gemma":[0.002330037,0.00034522705,0.00080070447,0.00053953053,0.0012381851,0.0012414687,0.0016278024,0.0017670274,0.0009747977],"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":[0.00009779539,0.00007148303,0.00047395943,0.0003256292,0.00006405339,0.0002731655,0.00022200201,0.7736446,0.03163992,0.12625378,0.003022875,0.06391074],"study_design_scores_gemma":[0.000015791302,0.000031779608,0.000093746814,0.0000140173615,0.00000556081,0.0000406367,0.000014954881,0.97411954,0.006400475,0.015483973,0.0037652242,0.000014324561],"about_ca_topic_score_codex":0.0019527402,"about_ca_topic_score_gemma":0.0025680242,"teacher_disagreement_score":0.0036333203,"about_ca_system_score_codex":0.00038321395,"about_ca_system_score_gemma":0.0016640613,"threshold_uncertainty_score":0.012154639},"labels":[],"label_agreement":null},{"id":"W4291718120","doi":"10.1190/image2022-3749247.1","title":"ERT and crosswell EM imaging of CO2: Examples from a shallow injection experiment at the Carbon Management Canada CaMI FRS in Southeast Alberta, Canada","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","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":"Carbon Management Canada","funders":"Lawrence Berkeley National Laboratory; National Energy Technology Laboratory; Government of Canada; U.S. Department of Energy; University of Calgary; Cenovus Energy; Canada First Research Excellence Fund","keywords":"Geology; Seismology; Remote sensing; Mining engineering","score_opus":0.008182086277409373,"score_gpt":0.20212916505898643,"score_spread":0.19394707878157705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291718120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922929,0.000064037544,0.0015811474,0.00017317978,0.0000093442495,0.00004561602,0.0006205637,0.00009594737,0.0051172343],"genre_scores_gemma":[0.99391997,0.000084827545,0.0033564474,0.000030464465,0.0000042114334,0.000011875502,0.00035924496,0.00002447466,0.002208481],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998099,0.000009117607,0.0000051124416,0.000025086229,0.0000946906,0.000056113775],"domain_scores_gemma":[0.9996698,0.000049593436,0.000024742141,0.000018553146,0.00018820327,0.00004908489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026506142,0.0002556135,0.00020593475,0.00090840744,0.0007258993,0.0003624976,0.00041868872,0.00037612478,0.00093497377],"category_scores_gemma":[0.00035667757,0.00012976996,0.000114099974,0.0009845336,0.00053556124,0.0002256389,0.0003861429,0.00038866146,0.00013981434],"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":[0.0014018815,0.0011524361,0.24202171,0.00024948266,0.00010436419,0.0079059405,0.004064378,0.016156614,0.6130869,0.0013533948,0.005438635,0.10706428],"study_design_scores_gemma":[0.000060007627,0.0003348141,0.87023973,0.00003052239,0.000043919186,0.0011623707,0.002613207,0.021512417,0.09727896,0.00021960976,0.0064248084,0.0000796195],"about_ca_topic_score_codex":0.28560054,"about_ca_topic_score_gemma":0.68860525,"teacher_disagreement_score":0.71439946,"about_ca_system_score_codex":0.001484229,"about_ca_system_score_gemma":0.0011294897,"threshold_uncertainty_score":0.56787634},"labels":[],"label_agreement":null},{"id":"W4291718172","doi":"10.1190/image2022-3741811.1","title":"Stepsize sharing in time-lapse full-waveform inversion","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","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":"Inversion (geology); Waveform; Computer science; Real-time computing; Geology; Telecommunications; Seismology","score_opus":0.01580610418497982,"score_gpt":0.22199431748661475,"score_spread":0.20618821330163492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291718172","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":[0.027780393,0.00015197869,0.968421,0.00010329146,0.000045815512,0.000082155966,0.000098549186,0.0009477695,0.0023689708],"genre_scores_gemma":[0.2949482,0.00017841719,0.70155495,0.00013200071,0.000037060483,0.00021715222,0.000465984,0.0003679346,0.0020983254],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965954,0.00008065118,0.000026518288,0.000074051844,0.000117821466,0.000041387077],"domain_scores_gemma":[0.99913114,0.00037628264,0.000082113096,0.00021001736,0.00014567995,0.000054836688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009183896,0.0007052419,0.00056009466,0.0003674107,0.00032810093,0.0006447008,0.0013692668,0.000655941,0.0029780976],"category_scores_gemma":[0.0033966205,0.00036819984,0.0006105394,0.0004519211,0.00057121937,0.0011609248,0.001370229,0.0010720443,0.0008160041],"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":[0.000637364,0.00025681898,0.0031822678,0.0002935423,0.00018291864,0.00040755133,0.0004359578,0.5656362,0.07210884,0.03240422,0.00427601,0.32017833],"study_design_scores_gemma":[0.000037717153,0.00013085548,0.00043935952,0.000013305775,0.000018407713,0.00010010358,0.000053197167,0.97052974,0.015765311,0.008707863,0.004173947,0.000030202682],"about_ca_topic_score_codex":0.0025703302,"about_ca_topic_score_gemma":0.0034703012,"teacher_disagreement_score":0.0029780976,"about_ca_system_score_codex":0.0002589152,"about_ca_system_score_gemma":0.0010783719,"threshold_uncertainty_score":0.009962678},"labels":[],"label_agreement":null},{"id":"W4291718417","doi":"10.1190/image2022-3751668.1","title":"Deep learning decomposition for null and active space estimation for thin-bed reflectivity inversion","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","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":"Reflectivity; Inversion (geology); Decomposition; Computer science; Artificial intelligence; Geology; Optics; Physics; Chemistry; Seismology","score_opus":0.013969360921960682,"score_gpt":0.25938099966565864,"score_spread":0.24541163874369795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291718417","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":[0.00660741,0.00007885023,0.9928746,0.00005853123,0.000007259069,0.0000064181345,0.000022912964,0.000119600176,0.00022443799],"genre_scores_gemma":[0.3429962,0.00036951658,0.6529918,0.0001307058,0.000050029183,0.00008319321,0.0003814965,0.00013897089,0.0028580779],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997919,0.00006809163,0.000011486649,0.000035042744,0.000065526685,0.000027922637],"domain_scores_gemma":[0.9993303,0.00037205953,0.00006853618,0.000076180186,0.0001140508,0.000038992017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009482973,0.0007669904,0.00059378654,0.00041978993,0.00016627787,0.0005871707,0.0008053481,0.00083820464,0.0010709276],"category_scores_gemma":[0.002367036,0.00043221144,0.0005991834,0.0004608549,0.00071618694,0.0010012701,0.0012542283,0.0014489257,0.00035680085],"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":[0.00008868215,0.0000679488,0.00069285184,0.0000915895,0.000060503313,0.00005712371,0.000068898364,0.8499299,0.018503768,0.014647608,0.0010879837,0.11470303],"study_design_scores_gemma":[0.0000012697819,0.0000046876376,0.000028060616,0.0000016076318,0.0000013932704,0.0000035267649,0.0000019134045,0.99745363,0.00086001935,0.0015325837,0.00010977703,0.0000016579535],"about_ca_topic_score_codex":0.00218102,"about_ca_topic_score_gemma":0.002356227,"teacher_disagreement_score":0.00218102,"about_ca_system_score_codex":0.0004266308,"about_ca_system_score_gemma":0.00063640013,"threshold_uncertainty_score":0.005015135},"labels":[],"label_agreement":null},{"id":"W4291718418","doi":"10.1190/image2022-3735220.1","title":"Application of migration modeling to unconventional reservoirs: An example from the Montney Formation northeastern British Columbia","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Hydrocarbon exploration and reservoir analysis","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":"Geology; Computer science","score_opus":0.023773358384182857,"score_gpt":0.2257151249284958,"score_spread":0.20194176654431295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291718418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956038,0.000038223538,0.00096564594,0.00013977336,0.000003728466,0.000019630246,0.0001851479,0.00004837824,0.002995677],"genre_scores_gemma":[0.997056,0.000048759175,0.001609871,0.000017441951,9.202836e-7,0.000009432317,0.00010410571,0.000011912597,0.0011414652],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990916,0.000016784887,0.0000041896037,0.00001934803,0.000017263808,0.000033235756],"domain_scores_gemma":[0.99972874,0.00009409834,0.00002646714,0.000016903434,0.00009755794,0.000036126716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013993664,0.0005230927,0.00029664894,0.00053826795,0.0014845748,0.0010696383,0.0010108342,0.00076961966,0.0012367984],"category_scores_gemma":[0.0007163867,0.00024879284,0.0003277005,0.0010586769,0.0009533423,0.0003625346,0.0006676968,0.0005485132,0.00007711279],"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":[0.00018861915,0.00016737414,0.07204062,0.0000769456,0.000042608437,0.0011847467,0.00061886606,0.90795785,0.0043885834,0.0022419263,0.00086672755,0.010225197],"study_design_scores_gemma":[0.00004833268,0.00004276235,0.020214947,0.000017454493,0.00001883654,0.000057806552,0.0011640748,0.975397,0.0013652825,0.00052480766,0.0011159574,0.000032770247],"about_ca_topic_score_codex":0.9094866,"about_ca_topic_score_gemma":0.9229544,"teacher_disagreement_score":0.09051341,"about_ca_system_score_codex":0.0068045533,"about_ca_system_score_gemma":0.0057856143,"threshold_uncertainty_score":0.18209285},"labels":[],"label_agreement":null},{"id":"W4291718689","doi":"10.1190/image2022-3750519.1","title":"Surface-based modeling of 3D architectural elements controlled by near-wellbore modeling","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","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":"Wellbore; Computer science; Solid modeling; Surface (topology); Geology; Petroleum engineering; Artificial intelligence; Geometry","score_opus":0.02299010583429314,"score_gpt":0.2320758085564079,"score_spread":0.20908570272211474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291718689","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":[0.43966004,0.00020334794,0.5386061,0.0003269527,0.000055219272,0.00015699767,0.0038651754,0.0027563428,0.014369761],"genre_scores_gemma":[0.94423115,0.00010838244,0.05225409,0.000034362678,0.000009866935,0.00011613131,0.0011786708,0.00020003824,0.0018672297],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979347,0.0000352019,0.000013004163,0.00007638169,0.0000498521,0.00003219065],"domain_scores_gemma":[0.9997634,0.00008665822,0.000031627525,0.000047936785,0.000046143374,0.000024284887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024080744,0.00057806197,0.00049025484,0.0006123678,0.0003205127,0.0014349731,0.0011471786,0.0007887044,0.0037840714],"category_scores_gemma":[0.0008710004,0.0005226267,0.0009235457,0.00073048525,0.000660921,0.0007068494,0.0008453505,0.0005935893,0.0006823351],"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":[0.000008782207,0.0000130463995,0.0016582652,0.000012504314,0.000009488969,0.000022444105,0.00003250277,0.9928498,0.0010480458,0.0012691573,0.00015692176,0.0029190478],"study_design_scores_gemma":[0.0000016365894,0.0000030365536,0.00030448736,0.0000016419799,0.0000015474803,0.0000048521906,0.000008844332,0.9987429,0.00016800786,0.0005201827,0.00023978477,0.0000031755928],"about_ca_topic_score_codex":0.021165198,"about_ca_topic_score_gemma":0.021233518,"teacher_disagreement_score":0.021165198,"about_ca_system_score_codex":0.0007872911,"about_ca_system_score_gemma":0.0008628047,"threshold_uncertainty_score":0.04208398},"labels":[],"label_agreement":null},{"id":"W4291718762","doi":"10.1190/image2022-3745949.1","title":"Character of mass failures driven by contourite collapse: Examples from offshore Newfoundland, Canada","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","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":"Contourite; Submarine pipeline; Character (mathematics); Geology; Computer science; Oceanography; Paleontology; Mathematics; Sediment; Geometry","score_opus":0.010455863375707251,"score_gpt":0.20123917967853924,"score_spread":0.190783316302832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291718762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86322826,0.0030632096,0.0017037195,0.0008910526,0.00009817319,0.00028055732,0.022792527,0.0003493093,0.10759315],"genre_scores_gemma":[0.96151346,0.0025997069,0.0021169106,0.00017194562,0.000021776494,0.000050393217,0.0096761575,0.00011429888,0.023735369],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995067,0.000009919018,0.000025050773,0.00005683205,0.00023593302,0.00016556832],"domain_scores_gemma":[0.9989278,0.000060916234,0.00014129546,0.00005945389,0.00067879737,0.00013178389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029775343,0.00063627335,0.00026267098,0.004580856,0.0022590752,0.0011088109,0.00071681966,0.00048355997,0.0042852],"category_scores_gemma":[0.00079886464,0.00020541016,0.00026685034,0.0054261223,0.00089508796,0.00044026325,0.0010478442,0.00048270175,0.0007777935],"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":[0.00042195685,0.00007880722,0.82440627,0.000446472,0.00009475672,0.007100095,0.0053953743,0.0044217384,0.0091193635,0.0007841435,0.035742793,0.11198825],"study_design_scores_gemma":[0.000008516986,0.00003818527,0.96546805,0.00013780923,0.000036494363,0.00083056313,0.006206835,0.0010914846,0.0014642245,0.00009362348,0.024582777,0.00004152449],"about_ca_topic_score_codex":0.9681125,"about_ca_topic_score_gemma":0.991714,"teacher_disagreement_score":0.03188747,"about_ca_system_score_codex":0.0077782986,"about_ca_system_score_gemma":0.008896307,"threshold_uncertainty_score":0.06415045},"labels":[],"label_agreement":null},{"id":"W4291718831","doi":"10.1190/image2022-3727331.1","title":"ML-based deconvolution method for high-resolution fast inversion of induction log data in deviated wells","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","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":"Terry Fox Research Institute","funders":"","keywords":"Deconvolution; Inversion (geology); High resolution; Computer science; Algorithm; Geology; Remote sensing; Seismology","score_opus":0.032048940704145226,"score_gpt":0.2688026772909807,"score_spread":0.23675373658683546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291718831","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":[0.0063879634,0.000030003735,0.99221206,0.000049384034,0.000009107683,0.000008980945,0.00006363019,0.0009146487,0.00032419644],"genre_scores_gemma":[0.2649181,0.000096024225,0.73191416,0.00010592241,0.000026039173,0.00010107418,0.00050631573,0.0004369541,0.001895453],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971086,0.000050475075,0.000020681453,0.000053241427,0.00013440894,0.000030280005],"domain_scores_gemma":[0.9995808,0.00014389952,0.00003577798,0.0000624329,0.00015610926,0.000020973299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086800376,0.00051282585,0.00043730918,0.0007305677,0.00039396298,0.0005100508,0.0009817947,0.0005863383,0.0019784651],"category_scores_gemma":[0.0014423048,0.00036664723,0.0006564222,0.0008321714,0.00050350715,0.0015495997,0.00091179495,0.0016597749,0.0008530461],"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":[0.00016101626,0.000087095505,0.0025077646,0.00011531206,0.00006245847,0.00015753011,0.00015940054,0.70664066,0.08216937,0.023608442,0.0027031668,0.18162788],"study_design_scores_gemma":[0.0000041437997,0.0000067045576,0.00012643685,0.0000020989,0.0000030063723,0.000015388507,0.0000040714676,0.99142116,0.0063452395,0.0014769714,0.000583659,0.000011050743],"about_ca_topic_score_codex":0.004843809,"about_ca_topic_score_gemma":0.0047153765,"teacher_disagreement_score":0.004843809,"about_ca_system_score_codex":0.0006356597,"about_ca_system_score_gemma":0.0015073273,"threshold_uncertainty_score":0.0096312165},"labels":[],"label_agreement":null},{"id":"W4291718832","doi":"10.1190/image2022-3750748.1","title":"Regularization by robust denoising for iterative simultaneous source separation","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","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":"Computer science; Noise reduction; Regularization (linguistics); Algorithm; Source separation; Inversion (geology); Iterative method; Artificial intelligence; Geology","score_opus":0.01359480159507285,"score_gpt":0.23587811744142392,"score_spread":0.22228331584635108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291718832","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":[0.0025641152,0.0001220633,0.9954684,0.000094055795,0.000020727868,0.000009195953,0.000011244543,0.00014669026,0.0015635194],"genre_scores_gemma":[0.11575483,0.00047773687,0.87824166,0.0001407902,0.00006676569,0.000074056974,0.00010985204,0.00036299345,0.004771418],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990915,0.00029633875,0.00003768595,0.00013535157,0.00038283272,0.00005644037],"domain_scores_gemma":[0.9989491,0.0005913423,0.00009951398,0.00017246154,0.00015587811,0.000031629323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020180063,0.000970626,0.00070943474,0.00068060914,0.00037651436,0.0009661052,0.0008047409,0.0015254057,0.002325394],"category_scores_gemma":[0.0045628357,0.00047661102,0.0011665118,0.0005930965,0.0013527805,0.0014574273,0.0019097225,0.0020144572,0.0009081301],"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":[0.0001959839,0.000079084435,0.00065620133,0.0003131838,0.00014117511,0.0002271754,0.00039667805,0.4404568,0.086424515,0.2732037,0.0037186544,0.19418691],"study_design_scores_gemma":[0.000009780415,0.00003183761,0.00013242666,0.000021559401,0.0000111541385,0.00010314166,0.000020888556,0.9320696,0.010845644,0.051567625,0.0051628575,0.000023561977],"about_ca_topic_score_codex":0.0012190812,"about_ca_topic_score_gemma":0.002077905,"teacher_disagreement_score":0.002325394,"about_ca_system_score_codex":0.00047719406,"about_ca_system_score_gemma":0.0006252981,"threshold_uncertainty_score":0.010672331},"labels":[],"label_agreement":null},{"id":"W4291718956","doi":"10.1190/image2022-3751045.1","title":"Robust reconstruction via orthogonal matching pursuit with Fourier operators","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","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":"Matching pursuit; Interpolation (computer graphics); Algorithm; Computer science; Fourier transform; Noise (video); Estimator; Matching (statistics); Mathematics; Artificial intelligence; Compressed sensing; Mathematical analysis; Image (mathematics)","score_opus":0.016152594780919693,"score_gpt":0.20477575859086536,"score_spread":0.18862316380994568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291718956","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":[0.005074471,0.000063842315,0.99426645,0.000055847475,0.000010459979,0.000011529682,0.000017741513,0.00011634653,0.00038321177],"genre_scores_gemma":[0.15275532,0.000335976,0.84423095,0.000071965726,0.00005278478,0.00009784939,0.00020038713,0.00008285369,0.0021718973],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931157,0.0001951715,0.00003677138,0.00010478827,0.00029994914,0.000051740753],"domain_scores_gemma":[0.99934393,0.00033622226,0.00009262801,0.00008693676,0.00011631748,0.000023883498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013034894,0.0007450628,0.0007455563,0.00064830686,0.0002619125,0.0006593437,0.0007538692,0.00096961384,0.0009395947],"category_scores_gemma":[0.0036930845,0.00040266887,0.00076933217,0.0011393809,0.00060765096,0.0011836721,0.0015002971,0.0011750545,0.00041292387],"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":[0.00022310774,0.000090621244,0.0008338308,0.00014883862,0.000090620895,0.00016681603,0.00014547454,0.65563023,0.0366217,0.0522879,0.0017892404,0.25197166],"study_design_scores_gemma":[0.000008724764,0.00002033901,0.00007599492,0.00000356771,0.0000028567686,0.000026023594,0.000005721665,0.99273115,0.0026778202,0.003810384,0.0006297265,0.0000076252304],"about_ca_topic_score_codex":0.0023098807,"about_ca_topic_score_gemma":0.0014450483,"teacher_disagreement_score":0.0023098807,"about_ca_system_score_codex":0.00034215252,"about_ca_system_score_gemma":0.0009808452,"threshold_uncertainty_score":0.006893635},"labels":[],"label_agreement":null},{"id":"W4291719165","doi":"10.1190/image2022-3745381.1","title":"Fracture imaging using DAS-recorded microseismic reflections","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","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 Calgary","funders":"","keywords":"Microseism; Geology; Hydraulic fracturing; Fracture (geology); Seismology; Ray tracing (physics); Frequency domain; Domain (mathematical analysis); Tracing; Acoustics; Time domain; Computer science; Optics; Computer vision; Physics; Geotechnical engineering","score_opus":0.02312499248194086,"score_gpt":0.2819037316689421,"score_spread":0.2587787391870012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291719165","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6221445,0.00034092733,0.36411583,0.0001596321,0.000050952236,0.00006563776,0.00092589203,0.0017047051,0.010491926],"genre_scores_gemma":[0.8311267,0.0002124859,0.16683663,0.000033926488,0.000020359843,0.00003598759,0.0004070204,0.00007068521,0.0012563084],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99972636,0.000022031258,0.00001076673,0.000065930064,0.00014244481,0.00003252344],"domain_scores_gemma":[0.99981135,0.000038608403,0.000028773751,0.000038141137,0.00006234661,0.000020914495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001708959,0.00030753747,0.00024352917,0.0007377832,0.000113765454,0.00044784488,0.00046484804,0.00037849302,0.0011947715],"category_scores_gemma":[0.0005700331,0.00016916428,0.00027171127,0.0007449133,0.0002958488,0.0005356845,0.00080037484,0.00036505194,0.0003998204],"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":[0.0003293164,0.00008625222,0.00956509,0.00020578134,0.000052913718,0.00030353054,0.00021672373,0.02357019,0.8184028,0.0024218636,0.00095662766,0.14388886],"study_design_scores_gemma":[0.00008162229,0.00036382786,0.034215685,0.000039155035,0.00009077507,0.0012708277,0.0004049722,0.41136134,0.541911,0.0029647606,0.0071808617,0.00011515837],"about_ca_topic_score_codex":0.0006907277,"about_ca_topic_score_gemma":0.0014376512,"teacher_disagreement_score":0.0011947715,"about_ca_system_score_codex":0.00020402117,"about_ca_system_score_gemma":0.00028122586,"threshold_uncertainty_score":0.0039969087},"labels":[],"label_agreement":null},{"id":"W4291743185","doi":"10.1190/image2022-3749878.1","title":"Incorporating estimates of data covariance in elastic FWI to combat random and correlated noise","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","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":"Covariance; Random noise; Noise (video); Computer science; Covariance matrix; Algorithm; Statistics; Mathematics; Artificial intelligence","score_opus":0.025301554357704675,"score_gpt":0.2520583378153223,"score_spread":0.2267567834576176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291743185","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":[0.027994536,0.000043556483,0.97071564,0.00007779318,0.000021214944,0.000041362757,0.000053328615,0.00044237296,0.0006101711],"genre_scores_gemma":[0.27560422,0.00007839514,0.7222975,0.00010005274,0.000028765766,0.0001356919,0.00046185605,0.0004526736,0.00084078516],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99805814,0.00059020746,0.00015829243,0.00024687027,0.0007838327,0.000162752],"domain_scores_gemma":[0.99079716,0.005127272,0.0007612677,0.0017536137,0.0014587591,0.00010194901],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0064941086,0.0012640107,0.00065791636,0.0015589524,0.00074770796,0.0010868319,0.0015115524,0.0009705843,0.0011434262],"category_scores_gemma":[0.033832047,0.0007713995,0.0007384912,0.001524514,0.0010449368,0.0026843816,0.0024412249,0.0020095713,0.00050906115],"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":[0.00023357233,0.00028268184,0.018657012,0.00017697185,0.00024393332,0.0002666747,0.00050090166,0.64433396,0.03414799,0.020300262,0.0011336723,0.2797224],"study_design_scores_gemma":[0.000008957222,0.00005274161,0.0028230427,0.000013006309,0.000019927866,0.00005764779,0.00005165667,0.9819857,0.010504519,0.0036979483,0.0007464822,0.000038399034],"about_ca_topic_score_codex":0.0061244527,"about_ca_topic_score_gemma":0.0110744005,"teacher_disagreement_score":0.0064941086,"about_ca_system_score_codex":0.00048261342,"about_ca_system_score_gemma":0.0016169278,"threshold_uncertainty_score":0.034344494},"labels":[],"label_agreement":null},{"id":"W4291743722","doi":"10.1190/image2022-3745280.1","title":"Predicting the time-evolution of CO2 saturation through a combination of rock physics and full-waveform inversion","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","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":"Inversion (geology); Saturation (graph theory); Waveform; Geology; Physics; Computational physics; Computer science; Geophysics; Seismology; Mathematics; Telecommunications","score_opus":0.011281359983748988,"score_gpt":0.20745069564507504,"score_spread":0.19616933566132605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291743722","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5227513,0.00010244736,0.4736548,0.00028988754,0.000022452221,0.000032062864,0.00037349583,0.0009354295,0.0018381663],"genre_scores_gemma":[0.94565535,0.00005609205,0.053381342,0.000017371387,0.00000853113,0.000018826651,0.00029699164,0.000053004267,0.00051244296],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999967,0.0000053991325,0.0000021022372,0.000009314046,0.000009980646,0.0000061303836],"domain_scores_gemma":[0.999813,0.00008362485,0.00003090106,0.000022570472,0.000033357344,0.000016586302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021784104,0.00034099372,0.00019722056,0.00032077287,0.00013674005,0.00033722323,0.00044885458,0.0004826123,0.00053382793],"category_scores_gemma":[0.0011687184,0.00025916542,0.0002809691,0.00033213626,0.00023905239,0.0006247313,0.00030552337,0.00052170816,0.00014913597],"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":[0.00007695034,0.00006316965,0.012410992,0.000043153374,0.000039555143,0.0000728065,0.00004655267,0.90189487,0.031294383,0.0018401187,0.00038631263,0.05183116],"study_design_scores_gemma":[0.0000018200773,0.0000044505887,0.0007839953,6.5412337e-7,0.0000010669695,0.0000046057858,0.0000024179576,0.9977418,0.0012286989,0.00018343997,0.00004500838,0.0000021010364],"about_ca_topic_score_codex":0.0088887885,"about_ca_topic_score_gemma":0.01105692,"teacher_disagreement_score":0.0088887885,"about_ca_system_score_codex":0.00029039054,"about_ca_system_score_gemma":0.0006747208,"threshold_uncertainty_score":0.017674088},"labels":[],"label_agreement":null},{"id":"W4291752761","doi":"10.1190/image2022-3737909.1","title":"Joint inversion of gravity and magnetic data using indicator functions","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","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":"Inversion (geology); Joint (building); Geodesy; Geology; Computer science; Geophysics; Seismology; Engineering; Structural engineering","score_opus":0.048419930258206643,"score_gpt":0.2596185260397716,"score_spread":0.21119859578156494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291752761","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":[0.020799275,0.000047112568,0.9775778,0.00012339155,0.000028597162,0.000014598175,0.00006800618,0.000415808,0.0009254398],"genre_scores_gemma":[0.44393525,0.00014943695,0.55277294,0.00008715432,0.0000434519,0.000094940275,0.00045452532,0.00015791999,0.0023043705],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996319,0.000091369984,0.0000220209,0.00006631036,0.00014295948,0.00004542149],"domain_scores_gemma":[0.9996363,0.00011315883,0.000070900365,0.000053038555,0.00009874898,0.00002786403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000813167,0.00095834746,0.00058456213,0.0006326613,0.00031071948,0.0007888738,0.0007749319,0.0006416047,0.0008921849],"category_scores_gemma":[0.0020355394,0.00031717325,0.00053603516,0.0010218146,0.0005837949,0.0011663006,0.0011575662,0.0011095766,0.0002968348],"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":[0.00018777003,0.000088058594,0.0038933987,0.0001279206,0.00008197575,0.00012073695,0.00012758678,0.75106627,0.038850356,0.02436023,0.0021490443,0.1789467],"study_design_scores_gemma":[0.000011971477,0.000013060939,0.00036002876,0.000003237048,0.0000048849815,0.000013319293,0.000009363886,0.9933043,0.0035589456,0.0019223841,0.0007882218,0.000010286522],"about_ca_topic_score_codex":0.0069845277,"about_ca_topic_score_gemma":0.0068759513,"teacher_disagreement_score":0.0069845277,"about_ca_system_score_codex":0.0004375692,"about_ca_system_score_gemma":0.0016515809,"threshold_uncertainty_score":0.013887763},"labels":[],"label_agreement":null},{"id":"W4291752848","doi":"10.1190/image2022-3749277.1","title":"Machine learnings and lessons learned on improvements to Castagna’s mudrock, Gardner’s density, and Faust’s velocity estimation","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","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":"FAUST; Estimation; Geology; Engineering; Computer science; Systems engineering; Programming language","score_opus":0.0269684406846941,"score_gpt":0.2676373113303508,"score_spread":0.2406688706456567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291752848","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":[0.051492874,0.023741418,0.8597671,0.034805704,0.0017022468,0.000096884185,0.0005528542,0.0031953768,0.02464557],"genre_scores_gemma":[0.3699371,0.015792493,0.5932091,0.0025963597,0.003154592,0.00011380183,0.0012358921,0.0006310327,0.01332963],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983296,0.00063868315,0.0001223384,0.0003488715,0.00045906642,0.000101491954],"domain_scores_gemma":[0.9888172,0.006396688,0.00024061996,0.0013899406,0.0028730424,0.00028263792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006000759,0.0013420276,0.00090476347,0.0015698904,0.00057261426,0.0019956687,0.0025391167,0.001382232,0.0048895357],"category_scores_gemma":[0.024559261,0.0005277261,0.00080366194,0.0018500446,0.0014499195,0.0038367275,0.0014313427,0.0033109714,0.0018523929],"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":[0.00014660793,0.00019454763,0.0039055743,0.00014448896,0.00009006447,0.000113631744,0.00021934135,0.08169682,0.0013554712,0.031748943,0.016521206,0.86386335],"study_design_scores_gemma":[0.00005769082,0.00017629315,0.0049069826,0.00027761847,0.00004917889,0.00020504752,0.00034681355,0.82765126,0.0033049625,0.11583286,0.047104813,0.000086411535],"about_ca_topic_score_codex":0.019680623,"about_ca_topic_score_gemma":0.012573062,"teacher_disagreement_score":0.019680623,"about_ca_system_score_codex":0.0010400877,"about_ca_system_score_gemma":0.0012081497,"threshold_uncertainty_score":0.03913212},"labels":[],"label_agreement":null},{"id":"W4291752993","doi":"10.1190/image2022-3738748.1","title":"Time-lapse monitoring of saltwater disposal in Kansas and Oklahoma using ambient noise","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","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":"Environmental science; Ambient noise level; Noise (video); Remote sensing; Hydrology (agriculture); Geology; Computer science; Geotechnical engineering; Oceanography; Sound (geography)","score_opus":0.01502579044887614,"score_gpt":0.22916429604665725,"score_spread":0.2141385055977811,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291752993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99895597,0.000021125588,0.000116539646,0.000022407236,0.0000022537442,0.00000652624,0.00027027397,0.00001376816,0.0005911095],"genre_scores_gemma":[0.99874145,0.00003674262,0.00028554103,0.000012622279,0.0000017994357,0.000009740691,0.00029357127,0.0000021411522,0.0006164296],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998896,0.000009731989,0.000007825393,0.00002643376,0.000034253302,0.000032087137],"domain_scores_gemma":[0.999723,0.000025067093,0.00008197843,0.000012622137,0.00011254634,0.000044828634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011291705,0.00019706172,0.00017672962,0.0006174142,0.00078850513,0.00047151203,0.00030389655,0.00032355892,0.00055307115],"category_scores_gemma":[0.0002919654,0.00013258791,0.000111255176,0.00085141347,0.00026316705,0.00028974537,0.0005280708,0.00021342309,0.00018661842],"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":[0.00026310518,0.00017313144,0.9457013,0.00005882523,0.00007463738,0.0004213145,0.0019896117,0.0015177405,0.03239879,0.00009584086,0.0005597926,0.01674597],"study_design_scores_gemma":[0.000003827788,0.000044200013,0.9953127,0.000008360332,0.000014983468,0.00002597173,0.0012363909,0.001465981,0.0013275334,0.000010279883,0.00054149766,0.000008263695],"about_ca_topic_score_codex":0.23222801,"about_ca_topic_score_gemma":0.5814765,"teacher_disagreement_score":0.23222801,"about_ca_system_score_codex":0.0013125757,"about_ca_system_score_gemma":0.0010055596,"threshold_uncertainty_score":0.4617526},"labels":[],"label_agreement":null},{"id":"W4291753000","doi":"10.1190/image2022-3743774.1","title":"Simultaneous waveform inversion of seismic-while-drilling data for P-wave velocity, density, and source parameters","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","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":"Geology; Waveform; Inversion (geology); Seismology; Drilling; Seismic wave; Acoustics; Geodesy; Geophysics; Computer science; Physics; Materials science; Telecommunications","score_opus":0.036219893016374446,"score_gpt":0.23675009643738762,"score_spread":0.2005302034210132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291753000","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":[0.3854447,0.00006221374,0.61023927,0.00018167195,0.00003368647,0.00005210948,0.00045940405,0.00060873805,0.0029182069],"genre_scores_gemma":[0.8139553,0.00007822223,0.18427499,0.000019814377,0.000006449513,0.000034875946,0.0008116862,0.00007539983,0.0007432986],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988616,0.000020034482,0.0000073554165,0.000021432925,0.000050842285,0.000014090563],"domain_scores_gemma":[0.9997373,0.000094166564,0.000029088515,0.0000527135,0.0000739657,0.000012748665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038162887,0.00050795067,0.0002930539,0.00036910214,0.00014707203,0.00042592277,0.0004882493,0.00038094912,0.0007910603],"category_scores_gemma":[0.0015068781,0.00023172925,0.00033174353,0.0004937904,0.0002154776,0.00082441815,0.00044425923,0.0005038055,0.0002167986],"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":[0.0002157376,0.00017397077,0.008835861,0.00012186212,0.000061477,0.0001728022,0.00019671817,0.69494975,0.14406958,0.0066911825,0.0007272949,0.14378367],"study_design_scores_gemma":[0.00000814369,0.000019642106,0.0005871308,0.0000028673596,0.0000037445452,0.000017679355,0.000020730296,0.98751336,0.010815922,0.0006446519,0.00036004023,0.0000060970624],"about_ca_topic_score_codex":0.0027767944,"about_ca_topic_score_gemma":0.0034945104,"teacher_disagreement_score":0.0027767944,"about_ca_system_score_codex":0.00022568065,"about_ca_system_score_gemma":0.00075712154,"threshold_uncertainty_score":0.0055212975},"labels":[],"label_agreement":null},{"id":"W4291753150","doi":"10.1190/image2022-3742779.1","title":"Open hardware: Geophysical instrumentation for collaborations in a changing world","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","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":"Institut National de la Recherche Scientifique; Université Laval","funders":"","keywords":"Instrumentation (computer programming); Computer science; Geophysics; Geology; Remote sensing; Operating system","score_opus":0.03280643142815236,"score_gpt":0.28496568037195447,"score_spread":0.2521592489438021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291753150","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":[0.014514787,0.0014816226,0.8107934,0.0063511594,0.0021331802,0.0008206812,0.000981255,0.074475415,0.08844844],"genre_scores_gemma":[0.25264975,0.002429577,0.62425435,0.0045507373,0.0020980549,0.0036928444,0.0040637814,0.017639726,0.08862117],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9941099,0.0018151072,0.00038981554,0.00088194903,0.002132452,0.00067075883],"domain_scores_gemma":[0.9898239,0.0020829635,0.00070150563,0.0036149542,0.0018984182,0.001878222],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0052477354,0.0013526813,0.00070566713,0.0017078879,0.001668617,0.0046515586,0.003171793,0.0019993247,0.046773553],"category_scores_gemma":[0.014734012,0.0006835017,0.0005085604,0.002213062,0.0023862545,0.009884185,0.016790653,0.0024800838,0.021793967],"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":[0.00050063536,0.0002501461,0.0036933238,0.0006427246,0.000059739818,0.0004804997,0.0039890828,0.0015801754,0.02687336,0.08215917,0.16608565,0.7136855],"study_design_scores_gemma":[0.00010398174,0.0004604988,0.0025234334,0.00043485826,0.00004806937,0.0006213785,0.0013684923,0.00642012,0.011456252,0.05379691,0.9226412,0.00012476239],"about_ca_topic_score_codex":0.00036319447,"about_ca_topic_score_gemma":0.00038125904,"teacher_disagreement_score":0.9968282,"about_ca_system_score_codex":0.0008312684,"about_ca_system_score_gemma":0.0019108353,"threshold_uncertainty_score":0.1564731},"labels":[],"label_agreement":null},{"id":"W4291753535","doi":"10.1190/image2022-3749351.1","title":"Seismic super resolution method for enhancing stratigraphic interpretation","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","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":"ConocoPhillips (Canada)","funders":"","keywords":"Interpretation (philosophy); Geology; Resolution (logic); Computer science; Seismology; Artificial intelligence; Programming language","score_opus":0.015076960229557977,"score_gpt":0.2540971291499193,"score_spread":0.2390201689203613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291753535","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":[0.0067501003,0.00013919991,0.991105,0.000071837,0.000019273197,0.00001663118,0.0001401161,0.00039172947,0.0013660229],"genre_scores_gemma":[0.09072228,0.00037378806,0.9048814,0.00009933987,0.000048040787,0.00005249046,0.0004798728,0.00018039976,0.0031624073],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99971,0.000051433763,0.000017017373,0.0000583996,0.00013906465,0.000024044595],"domain_scores_gemma":[0.99952793,0.00015822437,0.000057446017,0.00009130796,0.00014396974,0.000021236227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052629417,0.0005518113,0.00032805186,0.0011523004,0.00020119149,0.0005153057,0.0005591367,0.0004643584,0.003866051],"category_scores_gemma":[0.0015727916,0.00029775058,0.00042450242,0.0011812375,0.0003099006,0.0009542878,0.0008246746,0.0009648757,0.0013682116],"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":[0.00021903908,0.00006760052,0.0019705284,0.00030165564,0.00009714425,0.00027073536,0.00030473937,0.103982404,0.26085794,0.02814864,0.0050537083,0.598726],"study_design_scores_gemma":[0.000020326377,0.00006999394,0.0023936396,0.00002316535,0.000060235518,0.00041244298,0.00008870182,0.8974777,0.0637883,0.0127904015,0.022828523,0.00004660419],"about_ca_topic_score_codex":0.0014213983,"about_ca_topic_score_gemma":0.0029131796,"teacher_disagreement_score":0.003866051,"about_ca_system_score_codex":0.00025471847,"about_ca_system_score_gemma":0.0006786971,"threshold_uncertainty_score":0.012933195},"labels":[],"label_agreement":null},{"id":"W4291753928","doi":"10.1190/image2022-3751282.1","title":"Time-lapse attenuation variations during CO2 injection using DAS VSP data from the CaMI Field Research Station, Alberta, Canada","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","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":"Attenuation; Geology; Field (mathematics); Remote sensing; Geodesy; Seismology","score_opus":0.044096722364446464,"score_gpt":0.29092149769962294,"score_spread":0.2468247753351765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291753928","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98044854,0.00016626329,0.0020678535,0.000119088014,0.000020996902,0.000035633715,0.008217713,0.0003460845,0.00857781],"genre_scores_gemma":[0.9879067,0.00013601876,0.0030399933,0.000021627666,0.000007960031,0.000014994425,0.0067992494,0.00003559096,0.002037811],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998016,0.000005479956,0.0000049153596,0.00003225095,0.00011906157,0.00003675301],"domain_scores_gemma":[0.99962986,0.000022360575,0.000021452846,0.000015472373,0.00026367768,0.000047164478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019304744,0.0004069628,0.00020959233,0.0012651659,0.0005240074,0.00046865738,0.0005731092,0.00021721632,0.001416309],"category_scores_gemma":[0.00051515026,0.0001680415,0.00012141529,0.0025993465,0.00027834924,0.00015719161,0.0002008599,0.00032067564,0.00030019105],"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":[0.0012074331,0.00041451183,0.5588354,0.00031046892,0.00019228557,0.0012709453,0.00212061,0.048698664,0.18095416,0.0010454969,0.016111853,0.1888382],"study_design_scores_gemma":[0.00004680145,0.000037883918,0.9445071,0.000020524047,0.000035584297,0.000090810856,0.00063598366,0.03936845,0.010979825,0.000083452745,0.0041514216,0.000042080534],"about_ca_topic_score_codex":0.89151627,"about_ca_topic_score_gemma":0.95442384,"teacher_disagreement_score":0.10848373,"about_ca_system_score_codex":0.0031048406,"about_ca_system_score_gemma":0.0036844013,"threshold_uncertainty_score":0.21824521},"labels":[],"label_agreement":null},{"id":"W4291753938","doi":"10.1190/image2022-3745367.1","title":"Effectiveness of dip-in DAS observations for low-frequency strain and microseismic analysis: The CanDiD experiment","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":6,"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":"Microseism; Azimuth; Wireline; Geology; Seismology; Hydraulic fracturing; Engineering; Petroleum engineering; Telecommunications; Physics; Optics; Wireless","score_opus":0.01629811515982319,"score_gpt":0.252509917583683,"score_spread":0.23621180242385983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291753938","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9769831,0.00016000551,0.010326749,0.00026174902,0.000069565256,0.00018294773,0.0036570516,0.0006179411,0.007740993],"genre_scores_gemma":[0.9833424,0.00008045592,0.013286178,0.00012398524,0.000019910172,0.000078479665,0.0018074862,0.000117302385,0.0011438004],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989795,0.00010921511,0.000023382974,0.00028533742,0.0003679723,0.0002345488],"domain_scores_gemma":[0.9986921,0.00028377463,0.00009883057,0.00028204572,0.00035216263,0.00029115094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013646842,0.0006108918,0.00056003884,0.00065626117,0.0011988225,0.0009610101,0.0012818762,0.0009814163,0.0016873643],"category_scores_gemma":[0.0019622245,0.00027881193,0.0002624194,0.0010232974,0.0008569701,0.00059153774,0.0013759945,0.0012549219,0.00044606652],"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":[0.007146418,0.0018791729,0.09212109,0.00032527148,0.0002647316,0.0010690149,0.0009388084,0.019860819,0.7804384,0.0021296171,0.0064779725,0.08734868],"study_design_scores_gemma":[0.0012555625,0.003852419,0.4478013,0.000077299424,0.0002797717,0.00056201604,0.0013668619,0.109031335,0.4163102,0.0014029827,0.017548453,0.00051178975],"about_ca_topic_score_codex":0.067679755,"about_ca_topic_score_gemma":0.15027851,"teacher_disagreement_score":0.067679755,"about_ca_system_score_codex":0.0014936208,"about_ca_system_score_gemma":0.0025704794,"threshold_uncertainty_score":0.13457167},"labels":[],"label_agreement":null},{"id":"W4291754046","doi":"10.1190/image2022-3746215.1","title":"Uranium exploration in the Athabasca Basin using low-noise airborne gravity gradient data","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","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; Noise (video); Structural basin; Uranium; Remote sensing; Geodesy; Environmental science; Computer science; Geomorphology; Physics; Artificial intelligence","score_opus":0.028612642825382253,"score_gpt":0.24661314750107052,"score_spread":0.21800050467568827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291754046","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99618137,0.000035052282,0.00029152675,0.000046690293,0.0000016204272,0.000014576462,0.001111903,0.00003975321,0.0022775223],"genre_scores_gemma":[0.9979492,0.000028948285,0.00086603814,0.000012551384,9.332918e-7,0.000007280934,0.0005929607,0.000005298912,0.0005367137],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998479,0.000025372976,0.000006418598,0.000028375713,0.000048332142,0.00004346155],"domain_scores_gemma":[0.9998745,0.000016772701,0.000013985652,0.000009724865,0.00006099345,0.000024087229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000121570054,0.00020727568,0.00011713628,0.001201501,0.00075495726,0.00048563725,0.00026161075,0.00015799675,0.00078566256],"category_scores_gemma":[0.00029169748,0.00007396104,0.000105891835,0.0014816936,0.00018514275,0.00016265373,0.0003612911,0.00013042385,0.000115816365],"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":[0.00025040653,0.00019475029,0.8501637,0.00007522312,0.00010383117,0.0011969623,0.0015324749,0.013983502,0.0509898,0.0005268237,0.0017848453,0.079197645],"study_design_scores_gemma":[0.000020392024,0.000036566416,0.9807937,0.00001753024,0.000025339326,0.000096810305,0.0017238368,0.01150795,0.0026129351,0.00011677273,0.003019147,0.000028997094],"about_ca_topic_score_codex":0.6849912,"about_ca_topic_score_gemma":0.8815543,"teacher_disagreement_score":0.31500882,"about_ca_system_score_codex":0.0014416195,"about_ca_system_score_gemma":0.0012798486,"threshold_uncertainty_score":0.6337279},"labels":[],"label_agreement":null},{"id":"W4291754065","doi":"10.1190/image2022-3750747.1","title":"Seismic noise attenuation via learned and analytical basis functions","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","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":"Attenuation; Acoustics; Basis (linear algebra); Noise (video); Computer science; Geology; Physics; Mathematics; Optics; Artificial intelligence","score_opus":0.02082636468673655,"score_gpt":0.23817699624426925,"score_spread":0.2173506315575327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291754065","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":[0.02050138,0.000077632045,0.97844553,0.00010071198,0.000009499615,0.0000067368783,0.0000133465655,0.00019458597,0.0006506185],"genre_scores_gemma":[0.66245663,0.00046043933,0.33298206,0.00012029366,0.000047094698,0.00006133034,0.00014915765,0.00013334751,0.0035897254],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99964035,0.000105637424,0.000015664331,0.000059362035,0.00014369909,0.000035357018],"domain_scores_gemma":[0.9993162,0.00030258717,0.00012079207,0.00009256487,0.00014456255,0.000023258324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007589517,0.00079044123,0.0004785282,0.00040068766,0.0001632429,0.0005385066,0.0005777153,0.0006000352,0.0005145908],"category_scores_gemma":[0.0028407841,0.00038084853,0.0004400631,0.0004615073,0.0007274422,0.0012122962,0.000915951,0.0009105626,0.00020911923],"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":[0.00009408159,0.000044716147,0.0007924505,0.000044428285,0.00003100151,0.00006101908,0.00005969495,0.8736915,0.017378634,0.010697684,0.00052274455,0.09658207],"study_design_scores_gemma":[0.0000021003307,0.000013304257,0.00006537939,0.000002441355,0.0000030683102,0.000011465869,0.0000034086854,0.9965252,0.0018720358,0.0013080785,0.00019012531,0.0000032742328],"about_ca_topic_score_codex":0.0022000428,"about_ca_topic_score_gemma":0.0020968725,"teacher_disagreement_score":0.0022000428,"about_ca_system_score_codex":0.000475135,"about_ca_system_score_gemma":0.0005917476,"threshold_uncertainty_score":0.004374504},"labels":[],"label_agreement":null},{"id":"W4291754206","doi":"10.1190/image2022-3751186.1","title":"Detection threshold of a shallow CO2 plume with VSP data from the CaMI Field Research Station","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","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":"Geology; Plume; Field (mathematics); Geodesy; Seismology; Remote sensing; Meteorology","score_opus":0.037928122185788726,"score_gpt":0.2764891910538246,"score_spread":0.23856106886803585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291754206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96136683,0.00012420038,0.0055693067,0.00024623357,0.000066973545,0.00012757396,0.018161187,0.00078324316,0.013554515],"genre_scores_gemma":[0.96680063,0.00007928239,0.011252696,0.000127624,0.00004022329,0.00016945139,0.018827345,0.00010687063,0.0025958682],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996631,0.000016102782,0.00001603745,0.00011862305,0.00013025076,0.000055777753],"domain_scores_gemma":[0.99944705,0.00006214448,0.000046983972,0.000042386127,0.00034917137,0.000052239848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036545497,0.00036193477,0.00029061185,0.0013870826,0.0005051907,0.00049975934,0.0005639763,0.0005550946,0.0019796612],"category_scores_gemma":[0.00087901426,0.00016559608,0.00018933664,0.0013990658,0.00019724293,0.00037245938,0.00043035828,0.00046472045,0.00070352474],"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":[0.00097008207,0.00049695227,0.6633916,0.00040279247,0.000100710415,0.0013284505,0.0013526643,0.013879491,0.15889616,0.0012175012,0.032308295,0.12565535],"study_design_scores_gemma":[0.00006693575,0.0001883493,0.88259876,0.000075129166,0.000062171566,0.0002594653,0.00085985375,0.06479531,0.033710647,0.00038897924,0.016925445,0.00006899639],"about_ca_topic_score_codex":0.064833805,"about_ca_topic_score_gemma":0.11016187,"teacher_disagreement_score":0.9351662,"about_ca_system_score_codex":0.0006408515,"about_ca_system_score_gemma":0.0010086265,"threshold_uncertainty_score":0.12891287},"labels":[],"label_agreement":null},{"id":"W4291754274","doi":"10.1190/image2022-3751162.1","title":"Seismic monitoring using compact phased arrays: CO2 sequestration monitoring","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","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":"Carbon Management Canada","funders":"","keywords":"Vetting; Computer science; Remote sensing; Geology; Computer security","score_opus":0.04382917707276741,"score_gpt":0.2741149465654665,"score_spread":0.23028576949269908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291754274","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61530113,0.0033521364,0.35008875,0.0008522896,0.00020283343,0.00018465816,0.0039580283,0.002030544,0.02402964],"genre_scores_gemma":[0.9146839,0.00082748226,0.08051125,0.00014550098,0.00009421605,0.000067001674,0.0011147581,0.000056623863,0.0024992975],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9996599,0.00004897719,0.000009977125,0.00009148712,0.00016924714,0.000020360088],"domain_scores_gemma":[0.9996389,0.00007492777,0.00007016334,0.00003458991,0.00015392224,0.000027430042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037879622,0.000351964,0.00027377805,0.000799576,0.00016426877,0.00059357774,0.00037536843,0.0003612419,0.0012371789],"category_scores_gemma":[0.00051018957,0.00017903736,0.00012516147,0.0012290996,0.00017681223,0.0006750298,0.0005226503,0.00033326447,0.00037258567],"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":[0.00069293176,0.00022850193,0.038993634,0.00055286894,0.00010726085,0.00015214107,0.00015676336,0.0282716,0.4643521,0.0021737989,0.0047990317,0.45951924],"study_design_scores_gemma":[0.0002220478,0.0016036642,0.17412594,0.00010845582,0.00022075708,0.0012495344,0.00040075977,0.46524855,0.31897497,0.0056969416,0.031969603,0.00017885417],"about_ca_topic_score_codex":0.0013938108,"about_ca_topic_score_gemma":0.004774579,"teacher_disagreement_score":0.0013938108,"about_ca_system_score_codex":0.0003565676,"about_ca_system_score_gemma":0.00023637728,"threshold_uncertainty_score":0.0041387677},"labels":[],"label_agreement":null},{"id":"W4291754385","doi":"10.1190/image2022-3749361.1","title":"Stress rotations and compounding pore-pressures from multiple well injections","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Hydraulic Fracturing and Reservoir Analysis","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":"Microsemi (Canada)","funders":"","keywords":"Compounding; Stress (linguistics); Materials science; Computer science; Composite material","score_opus":0.009959168954946149,"score_gpt":0.21953995512465357,"score_spread":0.20958078616970743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291754385","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99093235,0.000026217602,0.007801912,0.00002335149,0.000005381429,0.000022023936,0.00013854503,0.00011583568,0.00093423686],"genre_scores_gemma":[0.9980203,0.000013109415,0.001507956,0.0000044825347,0.0000012687997,0.000007772154,0.000051894847,0.00001019812,0.0003830044],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99981505,0.00000876638,0.000011399849,0.00004381669,0.00008380593,0.000037220518],"domain_scores_gemma":[0.99961686,0.00008020587,0.00012240179,0.000050735223,0.00009689291,0.000032868647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021186778,0.0002615983,0.00026741778,0.00034264493,0.00027102488,0.00038907456,0.00021327946,0.00023111785,0.0015497995],"category_scores_gemma":[0.0005420891,0.00020884823,0.00018070871,0.00031845647,0.00039582283,0.00038271653,0.00039829014,0.00044134213,0.00011039843],"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":[0.00059332384,0.00013933898,0.06707963,0.000105934385,0.0000352368,0.0004914682,0.0003782838,0.03978001,0.8520012,0.000512989,0.00026492073,0.0386176],"study_design_scores_gemma":[0.000036300473,0.001122332,0.2665078,0.00001455684,0.00005794806,0.00024159408,0.0004888158,0.06868221,0.6607333,0.00041551972,0.0016458138,0.00005384324],"about_ca_topic_score_codex":0.0030355256,"about_ca_topic_score_gemma":0.007950945,"teacher_disagreement_score":0.0030355256,"about_ca_system_score_codex":0.0005400731,"about_ca_system_score_gemma":0.00031426625,"threshold_uncertainty_score":0.0060356855},"labels":[],"label_agreement":null},{"id":"W4291754387","doi":"10.1190/image2022-3751727.1","title":"Analysis of rank-reduction methods for filtering and interpolation","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Image and Signal Denoising Methods","field":"Computer Science","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":"Interpolation (computer graphics); Reduction (mathematics); Rank (graph theory); Computer science; Algorithm; Mathematics; Artificial intelligence; Combinatorics; Geometry; Image (mathematics)","score_opus":0.028470923770582548,"score_gpt":0.3325447515772676,"score_spread":0.30407382780668507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291754387","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":[0.0035351824,0.00076060795,0.99361104,0.0001590098,0.00004845877,0.00004271605,0.00009275048,0.00022152544,0.0015287049],"genre_scores_gemma":[0.1788175,0.0029696424,0.8029154,0.0002440136,0.00039041837,0.00039565368,0.0011487944,0.00066761,0.01245102],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99728894,0.0007944625,0.00011646794,0.0002780084,0.0013551263,0.00016692557],"domain_scores_gemma":[0.99123037,0.0049988898,0.0006383756,0.00092419423,0.0021085234,0.000099715784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045560296,0.0013234742,0.0008907545,0.0020050814,0.00065966207,0.001808362,0.0009732034,0.001226261,0.0058024414],"category_scores_gemma":[0.014799389,0.00040315857,0.0012369986,0.0016920456,0.0011463255,0.0015905193,0.0008882284,0.001485129,0.001804359],"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":[0.00026678963,0.00012204866,0.0018597674,0.0007393415,0.00024789746,0.00018881467,0.00029985525,0.28624412,0.019517668,0.31016392,0.008604373,0.37174538],"study_design_scores_gemma":[0.0000148180525,0.0000814773,0.000926583,0.00006152511,0.000025026806,0.00014729958,0.000039002225,0.93053216,0.00588125,0.05187123,0.010376172,0.00004341107],"about_ca_topic_score_codex":0.0023540938,"about_ca_topic_score_gemma":0.0019564368,"teacher_disagreement_score":0.0058024414,"about_ca_system_score_codex":0.00091972324,"about_ca_system_score_gemma":0.0011059522,"threshold_uncertainty_score":0.02409488},"labels":[],"label_agreement":null},{"id":"W4291754397","doi":"10.1190/image2022-3745905.1","title":"The development of novel density sensors using GEANT4: A particle physics simulation toolkit","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","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","funders":"","keywords":"Computer science; Development (topology); Particle (ecology); Physics","score_opus":0.044172191198057056,"score_gpt":0.28441692213647723,"score_spread":0.2402447309384202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291754397","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":[0.07031901,0.00057496794,0.90159124,0.0005788081,0.00027911575,0.00039282936,0.0025163218,0.007115399,0.01663232],"genre_scores_gemma":[0.27210698,0.0011330773,0.71433514,0.00017672272,0.000030683987,0.0011046462,0.0027463983,0.0018359143,0.0065304227],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961543,0.00006698618,0.000019447945,0.000034323322,0.00022256633,0.000041230825],"domain_scores_gemma":[0.99953675,0.00022505685,0.000033499666,0.00004982005,0.00013111085,0.000023878858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092651276,0.00082068215,0.00067286566,0.00035581258,0.0003424423,0.0008251069,0.0016658922,0.0010804614,0.0040646307],"category_scores_gemma":[0.001799507,0.0005990218,0.0009805037,0.000461695,0.00030658193,0.000975845,0.0006641947,0.0010681328,0.001091321],"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":[0.00014691055,0.00015428827,0.0030172088,0.0007728475,0.00016199292,0.0003065787,0.00026672962,0.8855631,0.040608767,0.024251666,0.008608957,0.036140855],"study_design_scores_gemma":[0.000038139824,0.000059852453,0.00029364033,0.000025847212,0.000019656023,0.00006954961,0.000023002101,0.96356434,0.018010309,0.0018781389,0.015989138,0.000028475622],"about_ca_topic_score_codex":0.0041381833,"about_ca_topic_score_gemma":0.003553966,"teacher_disagreement_score":0.0041381833,"about_ca_system_score_codex":0.0007081881,"about_ca_system_score_gemma":0.001461757,"threshold_uncertainty_score":0.013597488},"labels":[],"label_agreement":null},{"id":"W4291754626","doi":"10.1190/image2022-3738967.1","title":"Examples of fault steps controlling event migration in seismic swarms","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","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":"Fault (geology); Event (particle physics); Seismology; Computer science; Geology; Physics","score_opus":0.01964705503918492,"score_gpt":0.23485169148920174,"score_spread":0.2152046364500168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291754626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98089474,0.000113795955,0.014970228,0.00006562756,0.000009649115,0.00001537349,0.00029349665,0.00021087579,0.0034261635],"genre_scores_gemma":[0.9967253,0.000027975195,0.0029084482,0.0000027374685,0.0000023584032,0.0000050007507,0.00012565395,0.0000120811355,0.000190356],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999899,0.000014399936,0.000008820605,0.00003520038,0.000019037923,0.000023475919],"domain_scores_gemma":[0.99951816,0.00012585592,0.00014495794,0.0000819378,0.00006163157,0.00006749423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000116573785,0.00014002647,0.00016528217,0.0006909029,0.0003844121,0.00040052918,0.00023917938,0.00024417762,0.0014820569],"category_scores_gemma":[0.0014209861,0.00013438195,0.00012054534,0.000742315,0.00032672097,0.00030435435,0.00036532053,0.00019689662,0.00016253947],"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":[0.00095087424,0.00015374266,0.48441547,0.00033269625,0.00015325284,0.0033582551,0.0043059676,0.07225518,0.27470598,0.030663997,0.0036208313,0.12508373],"study_design_scores_gemma":[0.0000843419,0.00026368798,0.77565265,0.000061125895,0.000087355285,0.0021787556,0.002352062,0.15071312,0.039177388,0.017502131,0.011793588,0.00013389031],"about_ca_topic_score_codex":0.002405313,"about_ca_topic_score_gemma":0.003438921,"teacher_disagreement_score":0.002405313,"about_ca_system_score_codex":0.0002574317,"about_ca_system_score_gemma":0.00014784466,"threshold_uncertainty_score":0.0049580336},"labels":[],"label_agreement":null},{"id":"W4291754692","doi":"10.1190/image2022-3746014.1","title":"Combined elastic FWI of accelerometer and DAS VSP data from a CO2 sequestration test site in Newell County, Alberta","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","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":"University of Calgary","funders":"","keywords":"Accelerometer; Geology; Test site; Seismology; Computer science; Operating system","score_opus":0.02877262521489866,"score_gpt":0.25314316482680854,"score_spread":0.2243705396119099,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291754692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98911417,0.000031251657,0.0042915866,0.00017479899,0.000019724444,0.000028073202,0.0023339207,0.00031868144,0.0036879543],"genre_scores_gemma":[0.98990065,0.000037338134,0.0042044898,0.000029314191,0.000007829641,0.000012692264,0.0037366166,0.00005087457,0.0020202976],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977714,0.000014397603,0.0000089712585,0.000042931766,0.000102926206,0.00005368017],"domain_scores_gemma":[0.9997545,0.000031014595,0.000016246993,0.000023554037,0.00014624315,0.000028546956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002856072,0.0005161542,0.00027212917,0.000773616,0.00048942026,0.0005845761,0.0006410934,0.00042830172,0.0012406488],"category_scores_gemma":[0.00068842625,0.00021051301,0.00031154443,0.0011249916,0.0004215944,0.00031681213,0.0003916798,0.00048478876,0.00037993613],"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":[0.00080842205,0.0009047023,0.37166342,0.00023852705,0.00023596878,0.0016699829,0.0010349208,0.3611745,0.08902761,0.0019416345,0.009204179,0.16209608],"study_design_scores_gemma":[0.000072620096,0.00012574496,0.4543041,0.000023613376,0.000051358424,0.00017477116,0.0013152378,0.52668005,0.012301608,0.00056138326,0.004303111,0.00008637983],"about_ca_topic_score_codex":0.519687,"about_ca_topic_score_gemma":0.752347,"teacher_disagreement_score":0.480313,"about_ca_system_score_codex":0.0016510873,"about_ca_system_score_gemma":0.0026360708,"threshold_uncertainty_score":0.9662833},"labels":[],"label_agreement":null},{"id":"W4291754838","doi":"10.1190/image2022-3744978.1","title":"Large-scale Marchenko imaging with distance-aware matrix reordering, tile low-rank compression, and mixed-precision computations","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","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":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Algorithm; Memory footprint; Computation; Rank (graph theory); Matrix (chemical analysis); Kernel (algebra); Deconvolution; Matrix multiplication; Parallel computing; Data compression; Computational science; Mathematics","score_opus":0.007860837005483049,"score_gpt":0.23267414207654813,"score_spread":0.2248133050710651,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291754838","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":[0.04246279,0.0001462518,0.9498055,0.0002646854,0.000073127805,0.00006272946,0.00025077147,0.002652314,0.004281892],"genre_scores_gemma":[0.14681898,0.00014210929,0.8487402,0.00008214049,0.00004674287,0.000116537056,0.0010141513,0.00038392274,0.002655147],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99968743,0.000040125677,0.000019604822,0.000047947724,0.00016866674,0.00003619916],"domain_scores_gemma":[0.9994486,0.00012949682,0.00006655305,0.0002128737,0.00010347127,0.000038966486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044768228,0.0009254986,0.0004418818,0.000483172,0.00037560595,0.0010406297,0.00081192545,0.00052520924,0.0026076338],"category_scores_gemma":[0.0021447213,0.0002712976,0.00041271313,0.00093558145,0.0006402721,0.0011051797,0.0013714678,0.0011701097,0.001172722],"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":[0.00043170978,0.00018573433,0.0022128925,0.0002785691,0.00006944291,0.0004139764,0.00045077008,0.28191242,0.13829602,0.073337525,0.013275857,0.48913515],"study_design_scores_gemma":[0.0000356289,0.000069430986,0.00048245565,0.000015551492,0.000007564418,0.0001690698,0.00005931972,0.9117408,0.062216997,0.01633669,0.00883981,0.000026622585],"about_ca_topic_score_codex":0.0019393786,"about_ca_topic_score_gemma":0.0037704203,"teacher_disagreement_score":0.0026076338,"about_ca_system_score_codex":0.0004603116,"about_ca_system_score_gemma":0.0010327947,"threshold_uncertainty_score":0.008723438},"labels":[],"label_agreement":null},{"id":"W4291754869","doi":"10.1190/image2022-3739311.1","title":"3D inversion of QMAGT airborne magnetic gradiometry data for susceptibility and magnetization vector models of the Thompson Nickel Belt in Manitoba, Canada","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","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":"Magnetization; Nickel; Inversion (geology); Geology; Geophysics; Remote sensing; Geodesy; Materials science; Seismology; Physics; Magnetic field; Metallurgy","score_opus":0.02982781700567581,"score_gpt":0.2285973830564973,"score_spread":0.1987695660508215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291754869","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97593576,0.00011916362,0.01512835,0.00023228025,0.000015236716,0.00005311456,0.0031270275,0.00053117325,0.004857906],"genre_scores_gemma":[0.97598153,0.000078341494,0.02024043,0.000019675646,0.0000034036095,0.000016894826,0.00221289,0.00005977284,0.001387159],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9998957,0.000013056408,0.000004539006,0.00002236765,0.00003907798,0.000025228162],"domain_scores_gemma":[0.9998248,0.000021172536,0.000015722782,0.000013873507,0.00010492871,0.000019528467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022635364,0.0003380297,0.00014384997,0.0007886036,0.00051907694,0.00048944174,0.0005100826,0.00024107598,0.0011693159],"category_scores_gemma":[0.00088437373,0.00018408589,0.00025822865,0.001095666,0.00029646515,0.00015913587,0.00033868887,0.00025635716,0.00029403815],"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":[0.00048468786,0.00025497645,0.29738712,0.00027245708,0.00025138035,0.0012586543,0.0029925737,0.35747734,0.116406284,0.004441219,0.007912154,0.21086115],"study_design_scores_gemma":[0.00006515752,0.00005249803,0.3626285,0.000039310657,0.00005998758,0.00014361343,0.0015917288,0.61719686,0.009954645,0.00079703756,0.007389397,0.00008134567],"about_ca_topic_score_codex":0.89282095,"about_ca_topic_score_gemma":0.9477354,"teacher_disagreement_score":0.107179046,"about_ca_system_score_codex":0.0029885578,"about_ca_system_score_gemma":0.0068504154,"threshold_uncertainty_score":0.21562046},"labels":[],"label_agreement":null},{"id":"W4291754956","doi":"10.1190/image2022-3749919.1","title":"Numerical modeling of low-frequency distributed acoustic sensing signals for mixed-mode fracture activation","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","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":"Workflow; Computer science; Acoustic emission; Mode (computer interface); Slip (aerodynamics); Discontinuity (linguistics); Shear (geology); Acoustics; Seismology; Geology; Database; Engineering; Physics; Petrology; Aerospace engineering","score_opus":0.013646897928284604,"score_gpt":0.23923646188726647,"score_spread":0.22558956395898186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291754956","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":[0.2435543,0.0004105366,0.734392,0.00061551447,0.00014686807,0.00014741196,0.00045820946,0.0006080921,0.019667089],"genre_scores_gemma":[0.9296276,0.00019866465,0.062574364,0.000087061155,0.000032678585,0.00020624055,0.00022801182,0.00010212979,0.006943249],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987864,0.00002817351,0.000007276744,0.000024692994,0.00004088875,0.000020362251],"domain_scores_gemma":[0.9995945,0.00021962791,0.000059047034,0.000021915244,0.00007533916,0.000029528683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032841356,0.0006053125,0.00048928126,0.00043907258,0.00041951693,0.00079032895,0.0010563699,0.0016081027,0.0023289432],"category_scores_gemma":[0.0011745486,0.00035347618,0.00054768444,0.00030791888,0.0006973695,0.00050650677,0.0006829375,0.0006561352,0.0002981656],"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":[0.000016224094,0.000018780438,0.00062673574,0.000018423058,0.0000062656322,0.000059303064,0.000029567367,0.99195075,0.002566093,0.0029146208,0.000105294326,0.0016880673],"study_design_scores_gemma":[0.0000014161432,0.000002188539,0.000031493702,0.000001041251,6.081081e-7,0.0000026978907,0.00000241074,0.9995689,0.000118556,0.0001952724,0.00007400086,0.0000013407646],"about_ca_topic_score_codex":0.008161219,"about_ca_topic_score_gemma":0.004724941,"teacher_disagreement_score":0.008161219,"about_ca_system_score_codex":0.0006485145,"about_ca_system_score_gemma":0.00095397024,"threshold_uncertainty_score":0.016227424},"labels":[],"label_agreement":null},{"id":"W4291754996","doi":"10.1190/image2022-3751251.1","title":"Clay composition and diagenesis in organic-rich shale: A case study of Duvernay Formation, West Canadian Sedimentary Basin","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Hydrocarbon exploration and reservoir analysis","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":"Diagenesis; Geology; Oil shale; Structural basin; Geochemistry; Sedimentary rock; Sedimentary basin; Composition (language); Petrology; Geomorphology; Paleontology","score_opus":0.011383934974385513,"score_gpt":0.21937003697801513,"score_spread":0.20798610200362963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291754996","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989165,0.00013550287,0.000062286184,0.00003211307,6.18596e-7,0.000012487353,0.00020063146,0.000003155446,0.0006367247],"genre_scores_gemma":[0.99872464,0.00020511636,0.0002808187,0.000015895675,6.26722e-7,0.0000026369933,0.00016520322,0.0000025418071,0.0006025087],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99971944,0.00001895798,0.000011637733,0.000050391725,0.00008678954,0.00011278652],"domain_scores_gemma":[0.99971694,0.000037528225,0.000033744993,0.000013922041,0.00012727833,0.00007055599],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023566549,0.00037862943,0.0002848032,0.0018006036,0.0030279602,0.0010341554,0.00076075795,0.0005649011,0.00069267966],"category_scores_gemma":[0.00050756615,0.00023942853,0.00033695603,0.0023156472,0.0012409306,0.00029611573,0.0006049705,0.0002500594,0.00008178983],"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":[0.00020188997,0.00016801732,0.9339622,0.00015573317,0.0001066671,0.012878896,0.015428426,0.0030609786,0.011323614,0.0009317375,0.00074423855,0.021037528],"study_design_scores_gemma":[0.000010064153,0.00005509647,0.9697845,0.000046025776,0.00007199269,0.0013795329,0.018723844,0.0042276294,0.0026189121,0.00013342766,0.0029081588,0.000040811166],"about_ca_topic_score_codex":0.9810626,"about_ca_topic_score_gemma":0.99463046,"teacher_disagreement_score":0.018937409,"about_ca_system_score_codex":0.011352756,"about_ca_system_score_gemma":0.009227998,"threshold_uncertainty_score":0.08237046},"labels":[],"label_agreement":null},{"id":"W4291755136","doi":"10.1190/image2022-3751543.1","title":"Estimation of helical fiber pitch angle and trace spacing from colocated DAS, accelerometer, and geophone datasets","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","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":"Carbon Management Canada; University of Calgary","funders":"","keywords":"Geophone; Accelerometer; TRACE (psycholinguistics); Acoustics; Fiber; Computer science; Geology; Geodesy; Physics; Materials science","score_opus":0.015287950682339613,"score_gpt":0.23953753325989327,"score_spread":0.22424958257755365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291755136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7063599,0.00027285682,0.27121648,0.00019141904,0.0001767661,0.00015683612,0.012761872,0.004372373,0.0044914526],"genre_scores_gemma":[0.8137512,0.00014542723,0.16399994,0.00004060032,0.000055921944,0.00012840837,0.020479904,0.00019066418,0.0012079303],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99933136,0.00007053409,0.000051505463,0.00022419942,0.00021292528,0.000109615095],"domain_scores_gemma":[0.99856216,0.00016768248,0.00027090713,0.0002767054,0.0006329079,0.00008957985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005126677,0.00074805215,0.00040466932,0.0023002876,0.00033275428,0.0005212891,0.0006349846,0.00054447603,0.00090382644],"category_scores_gemma":[0.0025611534,0.00022176838,0.00039098572,0.001952062,0.0002690389,0.00077980175,0.0007947566,0.00051565724,0.0012510117],"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":[0.0008382792,0.0004560828,0.33992326,0.0003963017,0.00024265496,0.00080570567,0.00069038704,0.097257935,0.15728368,0.0022675227,0.011178598,0.38865957],"study_design_scores_gemma":[0.000085633255,0.00028227476,0.34273583,0.000107645144,0.00010619753,0.0007343293,0.0010320672,0.54564613,0.089637406,0.002459701,0.017046314,0.00012641685],"about_ca_topic_score_codex":0.0040884637,"about_ca_topic_score_gemma":0.009464237,"teacher_disagreement_score":0.0040884637,"about_ca_system_score_codex":0.00025258353,"about_ca_system_score_gemma":0.0008580568,"threshold_uncertainty_score":0.008129299},"labels":[],"label_agreement":null},{"id":"W4291755193","doi":"10.1190/image2022-3745992.1","title":"Paleoecologic and paleoceanographic reassessment of intrashelf basin formation:Iichnology, depositional environment, and sequence stratigraphy of the Upper Albian Maverick Basin, south Texas","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","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 Saskatchewan","funders":"","keywords":"Sedimentary depositional environment; Geology; Structural basin; Sequence stratigraphy; Sequence (biology); Paleontology; Stratigraphy","score_opus":0.013220415558398346,"score_gpt":0.2097635274453915,"score_spread":0.19654311188699317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291755193","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989089,0.00007352521,0.000023545024,0.000022428007,9.829774e-7,0.000001722112,0.000355775,0.00000258693,0.000610597],"genre_scores_gemma":[0.9988237,0.000078379046,0.000083159284,0.000008903614,0.000002567838,0.0000030517976,0.0005215688,0.0000019831004,0.0004766127],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999465,0.0000036412412,0.00000388712,0.000023241455,0.000007972916,0.00001471372],"domain_scores_gemma":[0.99981207,0.000011188923,0.000072029616,0.000020174317,0.000045757002,0.00003888557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011706884,0.00011430241,0.000065715765,0.0011439186,0.00031661405,0.00046435578,0.00022826451,0.00011637287,0.0012007294],"category_scores_gemma":[0.00022277652,0.000076012904,0.00008095412,0.0010692562,0.0002917061,0.00020726935,0.00045946948,0.00015638281,0.00016398676],"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":[0.00002596407,0.000008520515,0.9870263,0.000011390308,0.000017404875,0.000096561555,0.00081563025,0.0001900004,0.0027043251,0.00010008614,0.00023272188,0.008771085],"study_design_scores_gemma":[2.8398875e-7,0.0000021246472,0.9993519,0.0000020360114,0.0000019048375,0.000014558915,0.00023086045,0.000046252208,0.000060354923,0.0000040800132,0.00028515997,4.3440605e-7],"about_ca_topic_score_codex":0.107128784,"about_ca_topic_score_gemma":0.32173744,"teacher_disagreement_score":0.107128784,"about_ca_system_score_codex":0.0008305036,"about_ca_system_score_gemma":0.0004943435,"threshold_uncertainty_score":0.21301049},"labels":[],"label_agreement":null}]}