{"meta":{"query_hash":"ce88b0c42ad7","filters":{"venue":"EGU General Assembly Conference Abstracts"},"cohort_total":532,"direct_labels_cover":0,"predictions_cover":532,"exported":532,"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/ce88b0c42ad7","api":"https://metacan.xera.ac/api/v1/cohort?venue=EGU+General+Assembly+Conference+Abstracts"},"results":[{"id":"W101077439","doi":"","title":"Mesoscale vortices, ageostrophic motions and vertical mixing in the ocean","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Oceanographic and Atmospheric Processes","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":"Mesoscale meteorology; Geology; Vortex; Rossby wave; Anticyclone; Climatology; Forcing (mathematics); Eddy; Vorticity; Inertial wave; Ocean current; Atmospheric sciences; Geophysics; Meteorology; Physics; Turbulence; Wave propagation","score_opus":0.013634305171885514,"score_gpt":0.21914198577334962,"score_spread":0.2055076806014641,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W101077439","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963774,0.00004455203,0.002814869,0.000046147008,0.0000057673446,0.0000065483027,0.000101812315,0.000036476617,0.0005663086],"genre_scores_gemma":[0.99880207,0.000042211628,0.0009486486,0.00000717602,0.0000029186497,0.0000058708606,0.000052446914,0.0000049093264,0.00013373644],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99995327,0.000011851493,0.0000029901148,0.000008299771,0.000009397726,0.0000141712235],"domain_scores_gemma":[0.99986076,0.00004418107,0.00004359278,0.0000180418,0.000014828275,0.00001862623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012467761,0.00031084128,0.00032099648,0.00019961585,0.0002414675,0.000460253,0.00031672302,0.000418946,0.0005785192],"category_scores_gemma":[0.0004823559,0.00020673231,0.0003214436,0.00018790185,0.00035758372,0.00043584386,0.00041936158,0.00033610515,0.000040266852],"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":[0.00008443809,0.00007606567,0.019533344,0.000026708947,0.00003694481,0.00011287961,0.000036536476,0.9632602,0.013264027,0.0013648337,0.00007184034,0.0021321622],"study_design_scores_gemma":[0.00002719768,0.000039723294,0.00647799,0.0000027540868,0.000008909968,0.000010051488,0.000015002377,0.9917297,0.0012789617,0.00033043243,0.00007258804,0.0000066616085],"about_ca_topic_score_codex":0.010947479,"about_ca_topic_score_gemma":0.004254949,"teacher_disagreement_score":0.010947479,"about_ca_system_score_codex":0.00037724464,"about_ca_system_score_gemma":0.00037158394,"threshold_uncertainty_score":0.021767497},"labels":[],"label_agreement":null},{"id":"W103776596","doi":"","title":"What forces the Redistribution of Snow over Smooth Landfast Sea Ice","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Sea ice; Snow; Redistribution (election); Geology; Geomorphology; Oceanography; Political science; Law","score_opus":0.015752628577955983,"score_gpt":0.23606705885381227,"score_spread":0.2203144302758563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W103776596","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9719492,0.00024769813,0.0015019332,0.0026310773,0.00017006128,0.000019353778,0.00025937136,0.00008050428,0.023140749],"genre_scores_gemma":[0.99780065,0.00010693071,0.00014140493,0.00013775808,0.000039442264,0.0000030084448,0.000048967326,0.000036124293,0.0016857309],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999864,0.00001736913,0.0000048834677,0.00004097567,0.00001559711,0.0000571198],"domain_scores_gemma":[0.99971217,0.0000752706,0.000049977472,0.000016307558,0.000048226684,0.00009797692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041783444,0.0001941365,0.00028977383,0.00044837693,0.00087639457,0.0018710366,0.0003888794,0.0008289196,0.010257003],"category_scores_gemma":[0.0018958405,0.0003338547,0.0003911123,0.0002025954,0.00071523077,0.001029191,0.00065119157,0.0004163212,0.00134096],"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":[0.0017957017,0.00057883427,0.53079635,0.000890647,0.00088540826,0.0019596142,0.0033662552,0.093913734,0.2044872,0.057372816,0.031564966,0.07238841],"study_design_scores_gemma":[0.00028233585,0.00045357356,0.8157465,0.00016382913,0.00024407862,0.0003958052,0.011238447,0.10312906,0.013628643,0.03222879,0.022333564,0.00015538954],"about_ca_topic_score_codex":0.023215711,"about_ca_topic_score_gemma":0.029661579,"teacher_disagreement_score":0.023215711,"about_ca_system_score_codex":0.0012187677,"about_ca_system_score_gemma":0.00077711744,"threshold_uncertainty_score":0.046161175},"labels":[],"label_agreement":null},{"id":"W105430797","doi":"","title":"U and Th-series isotopes: a probe into time-dependent erosion processes in soils","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Soil water; Erosion; Series (stratigraphy); Environmental science; Isotope; Geology; Hydrology (agriculture); Soil science; Physics; Geomorphology; Paleontology; Geotechnical engineering; Nuclear physics","score_opus":0.010445138658740138,"score_gpt":0.2353326422746575,"score_spread":0.22488750361591736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W105430797","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9640044,0.003336107,0.023745868,0.00023774839,0.00014793547,0.00002866077,0.00042934512,0.00015798115,0.00791201],"genre_scores_gemma":[0.98802245,0.0011139542,0.008061469,0.00008003614,0.000052435345,0.000019446019,0.00014685073,0.000061460305,0.0024420181],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999087,0.000013398789,0.0000037393131,0.00003458156,0.000020029089,0.00001957372],"domain_scores_gemma":[0.9998172,0.000079729085,0.000025622676,0.000020985422,0.000037938782,0.00001864269],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035388296,0.00029058912,0.0002660552,0.000788678,0.00048765764,0.0007143575,0.00054395397,0.00095741346,0.0014650787],"category_scores_gemma":[0.0005133998,0.00032764894,0.00022382702,0.0010671095,0.0008296967,0.0011786777,0.00038748866,0.0006727644,0.00018874976],"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":[0.0017863316,0.00007763734,0.017182989,0.00018931433,0.00007049168,0.00022695179,0.00026878857,0.0015001749,0.9407802,0.002278997,0.00056343246,0.0350747],"study_design_scores_gemma":[0.00021865201,0.00091662107,0.08054548,0.0000686056,0.00022234957,0.0010580528,0.00088097266,0.032316815,0.86319166,0.00674803,0.013742453,0.000090260124],"about_ca_topic_score_codex":0.0020009838,"about_ca_topic_score_gemma":0.0029994124,"teacher_disagreement_score":0.0020009838,"about_ca_system_score_codex":0.00032781612,"about_ca_system_score_gemma":0.0002497237,"threshold_uncertainty_score":0.0049011707},"labels":[],"label_agreement":null},{"id":"W107820379","doi":"","title":"Optimum Input Selection For Data Driven Modeling. Mirage or Reality","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Selection (genetic algorithm); Model selection; Artificial intelligence","score_opus":0.06363183777020229,"score_gpt":0.3031361064860825,"score_spread":0.23950426871588024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W107820379","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":[0.0016942889,0.00028742367,0.9950458,0.00023249675,0.000054617674,0.000014958251,0.00013552017,0.000499271,0.002035705],"genre_scores_gemma":[0.4071997,0.000962066,0.5776918,0.00038324585,0.0002572813,0.00028782565,0.0011765455,0.0010241275,0.011017441],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939585,0.00027750403,0.000029357752,0.000099661076,0.00015732388,0.00004026733],"domain_scores_gemma":[0.9988815,0.0006475489,0.00008425136,0.00019730169,0.00015704811,0.000032238546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012546441,0.00095162983,0.0012032276,0.0005356197,0.00034777474,0.0011041615,0.0011076903,0.0010122119,0.0069363713],"category_scores_gemma":[0.0053779907,0.001075028,0.0009370454,0.0005618535,0.0007390199,0.0016095748,0.001400027,0.0016137526,0.0018531344],"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":[0.0002627515,0.00006623162,0.00045626462,0.0002972655,0.00009976833,0.00007067634,0.00006902833,0.7762516,0.0034584855,0.059234425,0.010984333,0.14874914],"study_design_scores_gemma":[0.000008535666,0.000017898054,0.000055473054,0.000014124108,0.000007832581,0.000010446424,0.0000050552717,0.9737758,0.0008942973,0.022853218,0.0023505422,0.000006758304],"about_ca_topic_score_codex":0.0025345797,"about_ca_topic_score_gemma":0.0026940769,"teacher_disagreement_score":0.0069363713,"about_ca_system_score_codex":0.00041175899,"about_ca_system_score_gemma":0.0007164102,"threshold_uncertainty_score":0.023204446},"labels":[],"label_agreement":null},{"id":"W109062709","doi":"","title":"Labrador Sea Salinity Variability on Multiyear Time Scales","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Oceanography; Salinity; Environmental science; Climatology; Scale (ratio); Geology; Geography; Cartography","score_opus":0.0160933019585078,"score_gpt":0.2343093295231254,"score_spread":0.21821602756461758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W109062709","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99132615,0.000146574,0.0003471669,0.00018459836,0.000016184185,0.000004382545,0.0039862734,0.000096325646,0.0038922082],"genre_scores_gemma":[0.995685,0.00008710819,0.0001901517,0.000034313212,0.000011897896,0.000004926551,0.0025155537,0.000016853566,0.0014544128],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999045,0.000009770578,0.000008430078,0.000034018733,0.000019071718,0.000024119927],"domain_scores_gemma":[0.9997223,0.000039985087,0.000088664616,0.000039522263,0.00007336422,0.000036057467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021281489,0.00015848578,0.00021695759,0.0007537331,0.00025818925,0.00066820986,0.00022480356,0.00023951623,0.0017772288],"category_scores_gemma":[0.0005638755,0.00010844562,0.00028970945,0.0009157721,0.00017584783,0.00043015997,0.00045417628,0.00025022778,0.00041294162],"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":[0.0004941283,0.00006722923,0.9393087,0.000041697225,0.0003450924,0.00015888797,0.00034788094,0.008131996,0.011583613,0.00056340615,0.004746752,0.034210645],"study_design_scores_gemma":[0.000003527167,0.000018444007,0.996055,0.0000035705043,0.000019752935,0.00002409855,0.00007802556,0.001571647,0.00051408424,0.000044062122,0.0016603614,0.000007440378],"about_ca_topic_score_codex":0.06268038,"about_ca_topic_score_gemma":0.0949811,"teacher_disagreement_score":0.93731964,"about_ca_system_score_codex":0.00073188066,"about_ca_system_score_gemma":0.0003329704,"threshold_uncertainty_score":0.12463105},"labels":[],"label_agreement":null},{"id":"W109165635","doi":"","title":"Multiple Reconnection Lines at the Dayside Magnetopause","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Ionosphere and magnetosphere dynamics","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":"Lockheed Martin (Canada)","funders":"","keywords":"Magnetopause; Cusp (singularity); Convection; Polar; Physics; Polar cap; Flux (metallurgy); Magnetic reconnection; Geophysics; Field line; Computational physics; Range (aeronautics); Magnetosphere; Astrophysics; Atmospheric sciences; Magnetic field; Geometry; Astronomy; Meteorology; Materials science","score_opus":0.01153456481692547,"score_gpt":0.23286075414173688,"score_spread":0.2213261893248114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W109165635","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99103546,0.00010009431,0.001976474,0.00019856624,0.000027674969,0.000014000882,0.00025311002,0.00013431424,0.006260398],"genre_scores_gemma":[0.9985543,0.000021572481,0.00077006867,0.00003175183,0.0000064494525,0.0000088181905,0.00014427668,0.000023988347,0.00043873367],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9999137,0.000018125746,0.0000024659394,0.000018520792,0.000017751157,0.000029345303],"domain_scores_gemma":[0.99979013,0.0000724999,0.00002909463,0.000015518688,0.000025568967,0.000067218294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023567112,0.0003842701,0.00051613525,0.00030832217,0.00061056414,0.0008645744,0.00070058124,0.0007719793,0.0026014897],"category_scores_gemma":[0.00066997367,0.00032243988,0.00053123187,0.0002528423,0.0005538801,0.00047905996,0.00057769596,0.00057216524,0.00015387783],"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":[0.00033640393,0.00012059623,0.024721283,0.000040783314,0.00016502489,0.00044714304,0.00021580688,0.96243495,0.004147659,0.0028917298,0.0010598719,0.003418712],"study_design_scores_gemma":[0.00014211795,0.00006676165,0.0072930492,0.0000055661058,0.000025055897,0.00004713918,0.00009873915,0.98991853,0.0008110508,0.0010474529,0.0005305353,0.000013995885],"about_ca_topic_score_codex":0.0090475865,"about_ca_topic_score_gemma":0.008108934,"teacher_disagreement_score":0.0090475865,"about_ca_system_score_codex":0.00081427355,"about_ca_system_score_gemma":0.00047998736,"threshold_uncertainty_score":0.017989874},"labels":[],"label_agreement":null},{"id":"W112872730","doi":"","title":"Using Mercury's physical libration in longitude to constrain its interior geometry","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Geometry; Mercury (programming language); Longitude; Astrobiology; Geodesy; Physics; Geography; Geology; Meteorology; Latitude; Computer science; Mathematics","score_opus":0.040809457506649306,"score_gpt":0.29709655795946327,"score_spread":0.25628710045281394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W112872730","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7526942,0.000785454,0.10181841,0.0014227361,0.00027257926,0.00007321498,0.0062492746,0.005378641,0.13130558],"genre_scores_gemma":[0.96072423,0.000159284,0.03483516,0.0001140144,0.00007586781,0.000022023796,0.0019362856,0.0005615739,0.0015715424],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997665,0.000024727078,0.000005759675,0.00008742266,0.00008986324,0.0000257956],"domain_scores_gemma":[0.9994536,0.00008010326,0.000101155485,0.00013523854,0.00013904092,0.0000908211],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030024772,0.0004006067,0.0005436292,0.0013945106,0.001257498,0.001146759,0.000605711,0.0004853524,0.0025191142],"category_scores_gemma":[0.0018996204,0.00038996132,0.00058601785,0.002314384,0.0005884646,0.00083084864,0.0017119102,0.0009839803,0.0012358587],"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":[0.0010884678,0.00012667703,0.52520174,0.0005721127,0.0005126111,0.00066077046,0.0030496588,0.044861957,0.12724398,0.026035756,0.023514627,0.2471316],"study_design_scores_gemma":[0.0002945671,0.00036606748,0.62296176,0.00020128961,0.000382434,0.0009539374,0.0012869525,0.19273476,0.042223264,0.018502919,0.11986837,0.00022363091],"about_ca_topic_score_codex":0.014132296,"about_ca_topic_score_gemma":0.020071039,"teacher_disagreement_score":0.014132296,"about_ca_system_score_codex":0.00058288727,"about_ca_system_score_gemma":0.0009580475,"threshold_uncertainty_score":0.028100073},"labels":[],"label_agreement":null},{"id":"W114820068","doi":"","title":"Temperature structure in the atmospheric boundary layer","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Wind and Air Flow Studies","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":"Boundary layer; Turbulence; Planetary boundary layer; Stratification (seeds); Turbulence kinetic energy; Mechanics; Surface layer; Dissipation; Convection; Convective Boundary Layer; Atmospheric sciences; Meteorology; Geology; Materials science; Thermodynamics; Physics; Layer (electronics)","score_opus":0.009967054488442522,"score_gpt":0.23007043932848756,"score_spread":0.22010338484004505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W114820068","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97831774,0.001614803,0.0076439884,0.00020645747,0.000048926307,0.000018192279,0.0003511903,0.0001560621,0.011642459],"genre_scores_gemma":[0.9986401,0.000115992494,0.00050687266,0.00001327241,0.0000116679075,0.0000028848278,0.0001198089,0.000013591251,0.00057579397],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999244,0.000006936409,0.0000039331157,0.000026241072,0.000022055892,0.00001644091],"domain_scores_gemma":[0.9998971,0.000014472601,0.000027974782,0.0000065709273,0.00003828439,0.000015599324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000083933344,0.00012107676,0.00020928758,0.00033826134,0.00039612915,0.00061670877,0.00021487544,0.0002978159,0.00076270476],"category_scores_gemma":[0.00036107973,0.00022090651,0.00011392668,0.0002788082,0.0003196214,0.0005266934,0.00031019413,0.0002499238,0.0002246257],"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":[0.00048445287,0.00017869355,0.23774217,0.00030713982,0.00013350142,0.0006780473,0.0013171238,0.08712477,0.59069693,0.028258083,0.0021172618,0.050961807],"study_design_scores_gemma":[0.00008167374,0.00022725282,0.77971774,0.00007773017,0.000058957743,0.00029132195,0.00032896816,0.16776353,0.02840175,0.015934054,0.0069984077,0.000118675904],"about_ca_topic_score_codex":0.005635254,"about_ca_topic_score_gemma":0.002083617,"teacher_disagreement_score":0.005635254,"about_ca_system_score_codex":0.00039152955,"about_ca_system_score_gemma":0.00023082606,"threshold_uncertainty_score":0.011204898},"labels":[],"label_agreement":null},{"id":"W119155464","doi":"","title":"Shock Drift Acceleration in presence of turbulence: A simple model","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Solar and Space Plasma Dynamics","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":"University of New Brunswick","funders":"","keywords":"Physics; Shock (circulatory); Turbulence; Mach number; Acceleration; Bow shock (aerodynamics); Fermi acceleration; Mechanics; Particle acceleration; Computational physics; Range (aeronautics); Particle (ecology); Moving shock; Oblique shock; Classical mechanics; Shock wave; Materials science","score_opus":0.016234649350001493,"score_gpt":0.2668614968239181,"score_spread":0.25062684747391656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W119155464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47533342,0.0029105993,0.44999328,0.0027623756,0.00056684297,0.00027090742,0.001353255,0.0009556011,0.065853715],"genre_scores_gemma":[0.9721246,0.0009909088,0.0067324727,0.00026878587,0.00019008908,0.00012006768,0.00021851783,0.00007101275,0.019283542],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997335,0.00005183977,0.000015536141,0.00005364236,0.00006208621,0.000083391555],"domain_scores_gemma":[0.9996408,0.00009714385,0.00008389271,0.0000414235,0.00006916877,0.00006753722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004706848,0.0006833503,0.0012857052,0.00073244574,0.0006938709,0.0016350019,0.0017716391,0.0020113927,0.0027747154],"category_scores_gemma":[0.0011939275,0.00042184364,0.00109606,0.0007786582,0.0011755605,0.0020726486,0.0015105696,0.00074087054,0.0007884672],"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":[0.00020893144,0.00009799407,0.0030168113,0.00012510679,0.00006832769,0.00083380233,0.00024093565,0.77745664,0.0072572697,0.2035309,0.001929074,0.005234244],"study_design_scores_gemma":[0.000035826466,0.000034343062,0.00050587876,0.0000074985064,0.0000119910155,0.000093401766,0.000018640045,0.98182,0.00011108491,0.016915003,0.00042684947,0.00001953961],"about_ca_topic_score_codex":0.007956366,"about_ca_topic_score_gemma":0.0025422245,"teacher_disagreement_score":0.007956366,"about_ca_system_score_codex":0.000927453,"about_ca_system_score_gemma":0.00076280657,"threshold_uncertainty_score":0.015820086},"labels":[],"label_agreement":null},{"id":"W122781814","doi":"","title":"β-Pinene Oxidation Mechanism Investigation using Online Mass Spectrometric Measurements","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Atmospheric chemistry and aerosols","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":"York University","funders":"","keywords":"Chemistry; NOx; Mass spectrometry; Radical; Hydrocarbon; Chemical ionization; Quadrupole mass analyzer; Environmental chemistry; Oxidation state; Reaction mechanism; Pinene; Organic chemistry; Photochemistry; Ionization; Combustion; Chromatography; Ion; Catalysis","score_opus":0.07977943007753534,"score_gpt":0.2619164960028453,"score_spread":0.18213706592530993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W122781814","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9819342,0.0011190978,0.012215771,0.000039098995,0.000039091876,0.00013668004,0.0012085455,0.00025820182,0.003049356],"genre_scores_gemma":[0.97283316,0.0010113061,0.023060277,0.00004165072,0.000026856154,0.00008398422,0.0006596122,0.000020948732,0.0022622528],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997693,0.000012343563,0.000010911476,0.00005735849,0.00012554906,0.000024513763],"domain_scores_gemma":[0.99980944,0.00003367501,0.000052646767,0.000017861106,0.000073420524,0.000012919621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003431153,0.00044289939,0.00022419394,0.0009157891,0.00027196293,0.0003135378,0.0005098039,0.00034772733,0.0017234768],"category_scores_gemma":[0.0002939933,0.00016492652,0.00024770832,0.0004268859,0.00015811535,0.00044639086,0.00024273012,0.00026107678,0.00030586257],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001431454,0.00006777605,0.0068720146,0.000100253565,0.000016419333,0.00011062749,0.000049248294,0.0001930086,0.98177433,0.00015062837,0.000107442276,0.010415029],"study_design_scores_gemma":[0.000015698526,0.0002962089,0.02346863,0.000010432888,0.000024021185,0.00039578395,0.00007454873,0.0051619937,0.96850276,0.00017573629,0.0018531438,0.000021045953],"about_ca_topic_score_codex":0.0011412036,"about_ca_topic_score_gemma":0.0019598335,"teacher_disagreement_score":0.0017234768,"about_ca_system_score_codex":0.00026623282,"about_ca_system_score_gemma":0.00017173309,"threshold_uncertainty_score":0.0057655573},"labels":[],"label_agreement":null},{"id":"W131179603","doi":"","title":"Modeling Study of ozone formation/distribution in the southern Iran","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Atmospheric chemistry and aerosols","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 Waterloo","funders":"","keywords":"CMAQ; Ozone; Environmental science; Air quality index; NOx; Ozone Monitoring Instrument; Oil refinery; Meteorology; Emission inventory; Atmospheric sciences; Waste management; Chemistry; Geography; Combustion; Engineering","score_opus":0.041741476865476856,"score_gpt":0.24654409720559392,"score_spread":0.20480262034011706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W131179603","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99159324,0.00012254482,0.0035224378,0.00013985424,0.000012095996,0.000020520874,0.00052851404,0.0001126315,0.0039482424],"genre_scores_gemma":[0.99775463,0.00007247314,0.0012896783,0.000009272025,0.000005504049,0.000018262288,0.00020265208,0.000008632781,0.00063897617],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999409,0.000013311261,0.0000020490522,0.000015214642,0.000008948929,0.00001958163],"domain_scores_gemma":[0.99992454,0.000022737671,0.000014652569,0.0000055127584,0.000021998167,0.000010490291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017616148,0.00046613102,0.00034148252,0.00036576221,0.0004364727,0.00041531122,0.00080902554,0.0005687748,0.00076865795],"category_scores_gemma":[0.0002664799,0.00027823407,0.0007217966,0.00057843624,0.00023589165,0.00027357688,0.00028325047,0.00034226343,0.000115986906],"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":[0.000064245505,0.000049325394,0.020545337,0.00002032351,0.00003456671,0.00013345522,0.00006593786,0.9735492,0.0020264734,0.0009826957,0.00040265892,0.0021257412],"study_design_scores_gemma":[0.000041059593,0.00002655237,0.007850846,0.0000027532253,0.00001902757,0.000024845402,0.00006322594,0.9906624,0.000543269,0.00027238522,0.0004858784,0.000007712324],"about_ca_topic_score_codex":0.10913672,"about_ca_topic_score_gemma":0.039302055,"teacher_disagreement_score":0.10913672,"about_ca_system_score_codex":0.0012736552,"about_ca_system_score_gemma":0.0009949256,"threshold_uncertainty_score":0.21700299},"labels":[],"label_agreement":null},{"id":"W134007012","doi":"","title":"Fate of Estrogens in Soils and Detection by ELISA","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological 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":"Agriculture; Geography; Archaeology; Environmental protection; Forestry","score_opus":0.011703829341572101,"score_gpt":0.22197181257660445,"score_spread":0.21026798323503235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W134007012","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8416652,0.018005785,0.0976743,0.0007717555,0.00029031988,0.0014848821,0.00791483,0.00084928016,0.03134357],"genre_scores_gemma":[0.6719457,0.033319883,0.16355978,0.0009888129,0.00014030201,0.0015219366,0.011997807,0.00017419836,0.116351515],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99861634,0.00030889886,0.000077151766,0.0002278655,0.0005580491,0.00021161076],"domain_scores_gemma":[0.99937075,0.00015395493,0.00005933522,0.00003228875,0.0003378384,0.000045884648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012367329,0.0009611593,0.00032560527,0.0014755693,0.00041300498,0.00052004587,0.0006457988,0.0005145788,0.0024537153],"category_scores_gemma":[0.0008306207,0.0005583695,0.0003024251,0.0010992043,0.0004767769,0.00027258776,0.00045697557,0.00059711735,0.0021170187],"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":[0.00021986384,0.00012295476,0.0071539525,0.00018139226,0.000032335418,0.00006506598,0.000114734925,0.00042091808,0.9765486,0.00017442826,0.00051129767,0.014454332],"study_design_scores_gemma":[0.000044971723,0.0011446134,0.021744264,0.000045699184,0.000054349613,0.00034530528,0.00043631636,0.002369299,0.95553726,0.00026134655,0.017977308,0.000039225633],"about_ca_topic_score_codex":0.018539006,"about_ca_topic_score_gemma":0.038886055,"teacher_disagreement_score":0.018539006,"about_ca_system_score_codex":0.00071707275,"about_ca_system_score_gemma":0.0011695186,"threshold_uncertainty_score":0.036862195},"labels":[],"label_agreement":null},{"id":"W135674129","doi":"","title":"Cloud-to-ground lightning in Yukon, Canada during a season of extreme wildfire activity","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Lightning and Electromagnetic Phenomena","field":"Physics and Astronomy","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":"Lightning (connector); Thunderstorm; Ridge; Precipitation; Meteorology; Environmental science; Geography; Climatology; Physical geography; Geology; Cartography","score_opus":0.011663704909392555,"score_gpt":0.2170782378976648,"score_spread":0.20541453298827225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W135674129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99381,0.00069569494,0.000078601675,0.00029270514,0.000015289625,0.000027111684,0.0017317415,0.000014769946,0.0033341933],"genre_scores_gemma":[0.9967548,0.0006807607,0.00011436723,0.000121451165,0.0000028377976,0.0000066896314,0.0008279529,0.0000042210054,0.0014869394],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99979633,0.000010606333,0.000013907712,0.000027079881,0.000054485645,0.00009759134],"domain_scores_gemma":[0.99942774,0.00003126429,0.00007973497,0.000010729078,0.00030610815,0.00014445797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001425101,0.00018107142,0.00023458629,0.0008399012,0.0035826017,0.0010771069,0.0005200377,0.00035382278,0.0014485526],"category_scores_gemma":[0.0004811032,0.00018427659,0.00016858152,0.0024263172,0.00055864657,0.000382716,0.00065250054,0.00037454095,0.00015765514],"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":[0.00012477576,0.000052464242,0.9706989,0.00012852655,0.000052878644,0.0012134608,0.0033498944,0.00034159765,0.001457516,0.00025088075,0.0035578136,0.018771289],"study_design_scores_gemma":[0.0000068357554,0.000022206897,0.9883963,0.000049969145,0.000016734088,0.00029329563,0.007790093,0.00026870338,0.0001442671,0.00005031406,0.0029457293,0.000015589869],"about_ca_topic_score_codex":0.99277943,"about_ca_topic_score_gemma":0.9981494,"teacher_disagreement_score":0.015414454,"about_ca_system_score_codex":0.015414454,"about_ca_system_score_gemma":0.025718052,"threshold_uncertainty_score":0.11184019},"labels":[],"label_agreement":null},{"id":"W138010521","doi":"","title":"Time-Frequency Transform Techniques Applied to Ultra-wideband Ground-Penetrating Radar","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ground-penetrating radar; Radar; Art history; Humanities; Physics; Art; Telecommunications; Engineering","score_opus":0.015362113539456174,"score_gpt":0.2561347593665399,"score_spread":0.24077264582708371,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W138010521","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01040072,0.00067161035,0.98524284,0.000111862166,0.00010093547,0.000017357677,0.000050621766,0.00026796592,0.0031360106],"genre_scores_gemma":[0.18216468,0.004069244,0.8020946,0.00011602932,0.00014013771,0.00008822887,0.00031239487,0.00018063207,0.010834153],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998404,0.00003591367,0.000008924958,0.000019032686,0.00008192022,0.000013781059],"domain_scores_gemma":[0.99969995,0.00014388058,0.000036581918,0.00003711915,0.00007186161,0.000010607495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028648484,0.00040076423,0.00021209435,0.0007741105,0.00015413789,0.0005111914,0.0002490717,0.0004574681,0.0041386527],"category_scores_gemma":[0.0011177092,0.0001773857,0.00024333097,0.0011794341,0.0002681986,0.00066336215,0.00047863155,0.00055467733,0.0017445441],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000108106666,0.000055918692,0.00075139734,0.00022815686,0.000032253938,0.00031722302,0.00018081444,0.038371928,0.19855718,0.02605419,0.0029572332,0.7323856],"study_design_scores_gemma":[0.000035200155,0.0001928402,0.003325428,0.00009457569,0.000044966848,0.002148009,0.00020626637,0.78696376,0.12761085,0.02801644,0.051312268,0.000049399518],"about_ca_topic_score_codex":0.00048177986,"about_ca_topic_score_gemma":0.00062362035,"teacher_disagreement_score":0.0041386527,"about_ca_system_score_codex":0.00013347244,"about_ca_system_score_gemma":0.0002835758,"threshold_uncertainty_score":0.013845146},"labels":[],"label_agreement":null},{"id":"W140453012","doi":"","title":"Changing paleoceanographic and paleoclimatic parameters during sapropel formation in the Aegean Sea","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Marine and environmental studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Geology; Sapropel; Paleoclimatology; Oceanography; Climatology; Paleoceanography; Climate change; Mediterranean climate","score_opus":0.020262161394193175,"score_gpt":0.2036489467914989,"score_spread":0.1833867853973057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W140453012","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99929,0.00007600724,0.000016087472,0.000025012687,0.0000029796713,0.0000015544933,0.00015930244,0.0000016340259,0.00042738035],"genre_scores_gemma":[0.9994398,0.000080525795,0.00003029077,0.000012804177,0.0000029007165,0.0000020637576,0.00028605643,0.0000015102547,0.00014417301],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99994314,0.0000073347787,0.000009315086,0.000017259883,0.0000065494887,0.000016469796],"domain_scores_gemma":[0.99986243,0.000014752469,0.00004201217,0.000009228109,0.000030348954,0.00004121263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002476429,0.00024593816,0.00020043537,0.00078537024,0.00032266314,0.00071489,0.00020071403,0.00036796345,0.0012853153],"category_scores_gemma":[0.0004045895,0.00017793641,0.00022699684,0.0007727274,0.00041357582,0.00050730497,0.00047869407,0.00021424024,0.00024366831],"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":[0.00063286675,0.000045586785,0.98136085,0.000047159716,0.000111801826,0.00045598444,0.0015463298,0.0009010467,0.006931012,0.0001543289,0.0003872605,0.0074257893],"study_design_scores_gemma":[0.0000043157524,0.000013554893,0.99897265,0.0000046571713,0.000008537825,0.00003228915,0.00045514404,0.0001304537,0.00013250754,0.000013132803,0.00022986173,0.0000028531854],"about_ca_topic_score_codex":0.057581726,"about_ca_topic_score_gemma":0.08315707,"teacher_disagreement_score":0.057581726,"about_ca_system_score_codex":0.0010050251,"about_ca_system_score_gemma":0.0005556475,"threshold_uncertainty_score":0.11449313},"labels":[],"label_agreement":null},{"id":"W141415028","doi":"","title":"Evaluation of Different Strategies for Mitigating Azimuthally Asymmetric Tropospheric Delays","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geophysics and Gravity Measurements","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 New Brunswick","funders":"","keywords":"Geodetic datum; Troposphere; Zenith; Geodesy; Earth's rotation; Environmental science; Elevation (ballistics); Meteorology; Precise Point Positioning; Convergence (economics); Atmosphere (unit); Rotation (mathematics); Remote sensing; Satellite; Geology; GNSS applications; Geography; Mathematics; Aerospace engineering; Geometry; Engineering","score_opus":0.05065460599682083,"score_gpt":0.2763957243411688,"score_spread":0.22574111834434799,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W141415028","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65234286,0.0019147324,0.33619407,0.00046374832,0.00012127471,0.00048282417,0.00029178383,0.001421954,0.006766854],"genre_scores_gemma":[0.9070353,0.0003850514,0.09131541,0.00006947307,0.00001994347,0.00014591463,0.00012799543,0.000060538532,0.0008404479],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993524,0.00020285044,0.000049395523,0.000096971446,0.000112366935,0.0001860225],"domain_scores_gemma":[0.9962,0.002385788,0.00038292506,0.0002614454,0.0005919332,0.0001780103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015870678,0.0016893494,0.000744859,0.0011592022,0.0005208679,0.0007786245,0.0012291565,0.0013354231,0.002152492],"category_scores_gemma":[0.006692388,0.0002832035,0.00042861435,0.00062177994,0.0003947884,0.001111584,0.0006962888,0.0004772095,0.00035106303],"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":[0.0012272904,0.0010321455,0.0068171783,0.0005790795,0.00022922909,0.0001734454,0.0002518217,0.7182195,0.042859163,0.0029986717,0.0011433158,0.22446905],"study_design_scores_gemma":[0.00037368486,0.0017770812,0.003916266,0.00005975258,0.0002691233,0.00010980721,0.00051119475,0.95333326,0.036952287,0.001261806,0.0013794448,0.00005631315],"about_ca_topic_score_codex":0.005028583,"about_ca_topic_score_gemma":0.0049339854,"teacher_disagreement_score":0.005028583,"about_ca_system_score_codex":0.00043797813,"about_ca_system_score_gemma":0.0010673632,"threshold_uncertainty_score":0.00999862},"labels":[],"label_agreement":null},{"id":"W144537419","doi":"","title":"Pollution and Climate Effects on Tree-Ring Nitrogen Isotopes","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Tree-ring climate responses","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":"Beech; Dendrochronology; Environmental science; Isotopes of nitrogen; National park; δ15N; Temperate climate; Forestry; Ecology; Nitrogen; Geography; Physical geography; Stable isotope ratio; δ13C; Chemistry; Archaeology; Biology","score_opus":0.017833135114247722,"score_gpt":0.24209880921455895,"score_spread":0.22426567410031123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W144537419","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99882203,0.00012798818,0.00015829956,0.0000167214,0.0000034682803,0.0000033930141,0.00017778963,0.000006592532,0.000683679],"genre_scores_gemma":[0.9987392,0.000084333886,0.00014745351,0.000029234703,0.000002800899,0.0000047291483,0.00038505095,0.0000074252225,0.00059968245],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998956,0.000025489562,0.0000031147165,0.000027789667,0.00002439986,0.000023654546],"domain_scores_gemma":[0.99972814,0.00006660425,0.000067552144,0.000019209736,0.000081132486,0.000037270773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002608198,0.00019671273,0.000121587334,0.00023277359,0.00024219288,0.00032826271,0.00014128358,0.00019585164,0.0005894989],"category_scores_gemma":[0.00045891572,0.00015023297,0.00010203145,0.00024399633,0.00022321154,0.00012964629,0.00017163683,0.00012963355,0.00011490444],"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":[0.00056746707,0.000049811275,0.7615993,0.000021962876,0.000119615535,0.000099611665,0.0002632019,0.00059520936,0.22875328,0.00008028639,0.00019228725,0.007657957],"study_design_scores_gemma":[0.0000018673769,0.000034453482,0.9963251,7.525124e-7,0.0000096289705,0.000018769371,0.000028967343,0.00017778968,0.0032055064,0.000011013275,0.00018432293,0.0000017355494],"about_ca_topic_score_codex":0.057830714,"about_ca_topic_score_gemma":0.13197516,"teacher_disagreement_score":0.057830714,"about_ca_system_score_codex":0.00071544584,"about_ca_system_score_gemma":0.0002732969,"threshold_uncertainty_score":0.11498821},"labels":[],"label_agreement":null},{"id":"W147136829","doi":"","title":"Air Quality Projections for Continental North America using CRCM-AURAMS","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Atmospheric chemistry and aerosols","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":"Air quality index; Division (mathematics); Geography; Climate change; Political science; Meteorology; Oceanography; Geology","score_opus":0.0443881731691821,"score_gpt":0.2877702395032724,"score_spread":0.24338206633409032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W147136829","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50386125,0.0030441564,0.015642598,0.0033606829,0.0006483349,0.00016220658,0.42654824,0.002100534,0.04463201],"genre_scores_gemma":[0.85166466,0.0012373478,0.01578444,0.00022296136,0.000116204654,0.00016536767,0.121078484,0.00013540582,0.009595139],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966383,0.00008591069,0.0000152359935,0.000062859835,0.00012463341,0.00004746009],"domain_scores_gemma":[0.99936837,0.000026090918,0.000038487135,0.000027413284,0.0004934003,0.00004624534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048766626,0.00053739344,0.00030342693,0.0007719333,0.00032294073,0.00047461851,0.0004700327,0.00044923645,0.002697001],"category_scores_gemma":[0.00059414067,0.00016186158,0.0005691718,0.0018841602,0.000112059155,0.00046218614,0.00033528206,0.00045576427,0.00094301114],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007523084,0.00035611476,0.24048401,0.00079631276,0.0005886295,0.0003358764,0.00021618578,0.39544284,0.00392666,0.009051324,0.27543524,0.0726146],"study_design_scores_gemma":[0.000348851,0.00019908993,0.5065905,0.00018118547,0.00031436665,0.00014097759,0.00066708244,0.26747894,0.003483615,0.0040102378,0.21642587,0.0001593011],"about_ca_topic_score_codex":0.56266016,"about_ca_topic_score_gemma":0.65705377,"teacher_disagreement_score":0.56266016,"about_ca_system_score_codex":0.0025879177,"about_ca_system_score_gemma":0.002697664,"threshold_uncertainty_score":0.87983084},"labels":[],"label_agreement":null},{"id":"W148525958","doi":"","title":"New measurements of vertical thermal structure and wind velocities in the Venusian mesosphere","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","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":"Mesosphere; James Clerk Maxwell Telescope; Venus; Atmospheric sciences; Atmosphere (unit); Atmosphere of Venus; Physics; Altitude (triangle); Stratosphere; Astronomy; Meteorology; Astrobiology; Stars","score_opus":0.030945983134331508,"score_gpt":0.24522406844867278,"score_spread":0.21427808531434128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W148525958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97841704,0.00089926354,0.006926607,0.00018879525,0.00008603838,0.00007515596,0.006024366,0.0002016221,0.0071810503],"genre_scores_gemma":[0.9776608,0.00027066175,0.015675878,0.000083355735,0.00008308312,0.00006801779,0.0049182726,0.000042742202,0.0011971553],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99978787,0.000017249025,0.00000789483,0.000093003124,0.00006120054,0.00003289017],"domain_scores_gemma":[0.999678,0.000023633233,0.00006254416,0.00005997217,0.00007266862,0.00010311513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034732098,0.00025207252,0.00016585508,0.0009695778,0.000305028,0.0003844603,0.00030481027,0.00025290475,0.00065491843],"category_scores_gemma":[0.00040253706,0.00022269964,0.00017444933,0.00082877895,0.00014378443,0.00052544434,0.00048058483,0.0006052707,0.00017040955],"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":[0.00033122397,0.00025105517,0.5539658,0.00010169428,0.0001666483,0.00017804024,0.0009677281,0.0018289047,0.37349868,0.0007938932,0.002158541,0.06575787],"study_design_scores_gemma":[0.000022705959,0.00006546214,0.98401535,0.000011068028,0.00002968309,0.000103984756,0.00010868645,0.0024164403,0.008394411,0.00020805791,0.004605642,0.00001832098],"about_ca_topic_score_codex":0.006929589,"about_ca_topic_score_gemma":0.040114958,"teacher_disagreement_score":0.006929589,"about_ca_system_score_codex":0.00029027817,"about_ca_system_score_gemma":0.00026742773,"threshold_uncertainty_score":0.013778508},"labels":[],"label_agreement":null},{"id":"W149315058","doi":"","title":"Effects of the 2009 Sarychev Volcanic Eruption on Climate","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Marine and environmental studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Volcano; Vulcanian eruption; Geology; Phreatomagmatic eruption; Earth science; Physical geography; Lava; Geography; Seismology","score_opus":0.007948949169176921,"score_gpt":0.1960997621594639,"score_spread":0.18815081299028696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W149315058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914767,0.00039895772,0.00006178651,0.0010957174,0.00015933816,0.000008436918,0.0022131854,0.00002064424,0.0045652566],"genre_scores_gemma":[0.99639976,0.00035543938,0.0000496726,0.00019750795,0.00006496731,0.000006003359,0.0015959323,0.000014437227,0.0013163235],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981683,0.000026000169,0.000016246238,0.000041962445,0.000025286387,0.0000737637],"domain_scores_gemma":[0.9995134,0.000106763335,0.00012474842,0.00002809717,0.00010483143,0.00012209092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042793178,0.00032857392,0.00051682914,0.00030836219,0.0005915268,0.000950942,0.00037588231,0.0012020624,0.0047016577],"category_scores_gemma":[0.0009684353,0.00019251126,0.0005908456,0.00037843833,0.00045252068,0.0004528668,0.00095084,0.0010506089,0.00064224895],"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":[0.0087639745,0.0013210264,0.8318713,0.0006082504,0.0013940742,0.0029277606,0.0014701501,0.03746046,0.046533722,0.0056631602,0.0243807,0.03760539],"study_design_scores_gemma":[0.000047440077,0.00022743434,0.98990625,0.0000270005,0.000107626205,0.00011227037,0.00056557247,0.0023107221,0.0023030771,0.00022154972,0.004148262,0.000022676177],"about_ca_topic_score_codex":0.038999885,"about_ca_topic_score_gemma":0.07397198,"teacher_disagreement_score":0.038999885,"about_ca_system_score_codex":0.0015862045,"about_ca_system_score_gemma":0.0009569187,"threshold_uncertainty_score":0.07754576},"labels":[],"label_agreement":null},{"id":"W1496425253","doi":"","title":"Synoptic variability of extreme snowfall in the St. Elias Mountains,Yukon, Canada","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Cryospheric studies and observations","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":"Snow; Glacier; Physical geography; Geology; Climatology; Geography; Geomorphology","score_opus":0.07048064691145806,"score_gpt":0.2362771584193561,"score_spread":0.16579651150789804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1496425253","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99170333,0.0003113275,0.00004966009,0.00012767538,0.000015094859,0.0000130879525,0.0063086194,0.000025952853,0.0014452519],"genre_scores_gemma":[0.9953467,0.00021955704,0.00009092687,0.000036185807,0.0000055125292,0.000009133669,0.0036091772,0.000004736371,0.00067816203],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998528,0.0000115055045,0.000019996878,0.00003795483,0.000032867345,0.00004478002],"domain_scores_gemma":[0.9994253,0.00005726542,0.000077042,0.000019757812,0.00029993206,0.000120693556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025223914,0.00022807156,0.00025494807,0.000989271,0.00084273185,0.0010240757,0.00044179102,0.00037591046,0.0011812425],"category_scores_gemma":[0.000534844,0.00016427535,0.00024280282,0.001970329,0.00033607217,0.00032818574,0.0004937219,0.00019584585,0.00012582753],"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":[0.00017534243,0.000039087336,0.9858124,0.00008062425,0.00024493228,0.0002314496,0.0007043647,0.0025067576,0.001216651,0.00021027189,0.0040447023,0.004733416],"study_design_scores_gemma":[0.000008442834,0.0000055849346,0.9974343,0.000014358524,0.000019480438,0.00002050512,0.0006419172,0.0008315356,0.000063351086,0.000014004123,0.0009403856,0.0000060651305],"about_ca_topic_score_codex":0.9594976,"about_ca_topic_score_gemma":0.9809233,"teacher_disagreement_score":0.04050243,"about_ca_system_score_codex":0.0057195304,"about_ca_system_score_gemma":0.006645578,"threshold_uncertainty_score":0.081481874},"labels":[],"label_agreement":null},{"id":"W152535824","doi":"","title":"Flood mapping of Danube River at Romania using multi-date ERS2-SAR data","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Flood Risk Assessment and Management","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 Alberta","funders":"","keywords":"Flooding (psychology); Flood myth; Remote sensing; Synthetic aperture radar; Change detection; Principal component analysis; Cartography; Environmental science; Geography; Geology; Hydrology (agriculture); Artificial intelligence; Computer science","score_opus":0.08656760792078341,"score_gpt":0.29899855910379536,"score_spread":0.21243095118301195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W152535824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949883,0.00018294141,0.0015697678,0.000060435064,0.000004855642,0.000025314299,0.00041020568,0.000037051996,0.0027210831],"genre_scores_gemma":[0.9939452,0.00013181301,0.0047257883,0.000015829475,0.0000040043833,0.000017541463,0.00053477933,0.0000103321645,0.00061470445],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981576,0.00006516362,0.000014753638,0.0000400787,0.00003305927,0.000031170162],"domain_scores_gemma":[0.99989545,0.00001970462,0.000023998035,0.000023693308,0.000028368591,0.000008832965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031736988,0.00023825304,0.00025190486,0.0008276764,0.00015698535,0.00035963085,0.00020998859,0.00015187378,0.00053580024],"category_scores_gemma":[0.0004275603,0.00015095843,0.0002509967,0.0006492235,0.00014713782,0.00023724069,0.00035871027,0.00012483203,0.00015455131],"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":[0.0005106561,0.00013077621,0.7395809,0.0002565008,0.00018462076,0.002065265,0.0009746313,0.025912404,0.04141091,0.0011438024,0.0023914876,0.18543808],"study_design_scores_gemma":[0.000027369097,0.000055058477,0.9789482,0.000025577747,0.000020956275,0.00034818123,0.00044235497,0.013898949,0.003037986,0.000076597215,0.0031053335,0.000013286478],"about_ca_topic_score_codex":0.007782606,"about_ca_topic_score_gemma":0.021084212,"teacher_disagreement_score":0.007782606,"about_ca_system_score_codex":0.00028269066,"about_ca_system_score_gemma":0.0002823405,"threshold_uncertainty_score":0.0154746175},"labels":[],"label_agreement":null},{"id":"W153657222","doi":"","title":"Barium, its seasonal variability and its relation to CO2 in the Eastern Beaufort Sea","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Methane Hydrates and Related Phenomena","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":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Beaufort sea; Beaufort scale; Oceanography; Section (typography); Archaeology; Geography; Geology; Sea ice","score_opus":0.018910679908927027,"score_gpt":0.24658414513820034,"score_spread":0.22767346522927331,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W153657222","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99830246,0.0004518228,0.00003748578,0.00007688392,0.0000062131435,0.0000018967929,0.0003251801,0.0000055978985,0.00079247163],"genre_scores_gemma":[0.9991284,0.00010704401,0.000048410984,0.000017626127,0.000007807067,0.0000018374255,0.00020727032,0.0000031716122,0.00047837288],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998969,0.000010074079,0.000006380365,0.000034470453,0.000020865755,0.00003124385],"domain_scores_gemma":[0.9997224,0.000032709973,0.000088519475,0.000010935196,0.0000923936,0.000053046002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019514983,0.00020323136,0.00025180544,0.0011865626,0.00068168936,0.0008206544,0.00039533485,0.0004299919,0.00083186146],"category_scores_gemma":[0.0002606095,0.00020717313,0.00021770876,0.0015544335,0.00064965367,0.00043981653,0.00039071334,0.00021253526,0.0002544772],"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":[0.0006848508,0.00005632247,0.9700038,0.00004014926,0.00013443414,0.00045576046,0.0009207589,0.0008981554,0.016217548,0.000124868,0.0006259563,0.009837434],"study_design_scores_gemma":[0.0000019158674,0.0000116710735,0.9992797,0.000001413087,0.0000037051368,0.00002060223,0.00016170561,0.0001494835,0.000112894944,0.000008774388,0.00024539488,0.0000027831318],"about_ca_topic_score_codex":0.39916348,"about_ca_topic_score_gemma":0.48942125,"teacher_disagreement_score":0.39916348,"about_ca_system_score_codex":0.0017109994,"about_ca_system_score_gemma":0.0006234281,"threshold_uncertainty_score":0.7936802},"labels":[],"label_agreement":null},{"id":"W158447372","doi":"","title":"North Atlantic / Arctic Oscillations in the Pliocene: A Mechanism for Regional Warming?","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","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":"Climatology; Arctic; Proxy (statistics); Paleoclimatology; Climate change; GCM transcription factors; Atmospheric circulation; The arctic; Geology; Climate model; Environmental science; General Circulation Model; Oceanography","score_opus":0.04279547947749072,"score_gpt":0.2727721095703825,"score_spread":0.2299766300928918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W158447372","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93984824,0.008838963,0.0022997968,0.011880107,0.00019451069,0.00004811907,0.00082333566,0.00024304773,0.035823945],"genre_scores_gemma":[0.9965412,0.0015833328,0.00028768682,0.00019514227,0.000068850204,0.000007092794,0.000060981733,0.000016469708,0.0012391229],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999114,0.000012606877,0.000005918639,0.000032805136,0.0000074138584,0.000029850138],"domain_scores_gemma":[0.99978596,0.000028114322,0.00007707767,0.00003345846,0.00003769273,0.000037676415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005015102,0.00023976366,0.00023892387,0.00062608585,0.00042281853,0.0012354796,0.00036845525,0.00043853544,0.006943588],"category_scores_gemma":[0.0007390181,0.00018693542,0.00032382834,0.0008303714,0.0007324884,0.0010355721,0.0006367022,0.00032487043,0.00034424503],"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":[0.00060782535,0.00008688709,0.75000226,0.0008644648,0.0005195294,0.002365277,0.005753941,0.004160915,0.029166086,0.02750636,0.0059572747,0.17300919],"study_design_scores_gemma":[0.00006869098,0.00010359068,0.9539856,0.00015415018,0.00021598101,0.0005033139,0.004104138,0.0018117598,0.0017351798,0.0052064527,0.032079555,0.00003153425],"about_ca_topic_score_codex":0.023154262,"about_ca_topic_score_gemma":0.034512807,"teacher_disagreement_score":0.023154262,"about_ca_system_score_codex":0.00084650354,"about_ca_system_score_gemma":0.00052725273,"threshold_uncertainty_score":0.046038985},"labels":[],"label_agreement":null},{"id":"W158543158","doi":"","title":"Estimation of ice thickness on large lakes from passive microwave and radar altimeter data","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Arctic and Antarctic ice dynamics","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 Waterloo","funders":"","keywords":"Radar altimeter; Sea ice thickness; Geology; Sea ice concentration; Altimeter; Microwave; Sea ice; Satellite; Remote sensing; Radiometer; Radar; Ice stream; Arctic ice pack; Climatology; Brightness temperature; Microwave radiometer; Sea ice growth processes; Cryosphere; Atmospheric sciences; Environmental science","score_opus":0.021646052548428198,"score_gpt":0.24481597503382377,"score_spread":0.22316992248539558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W158543158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99302447,0.000097628625,0.004290542,0.000013234048,0.000002369808,0.000024257206,0.0011545133,0.00009637268,0.0012965479],"genre_scores_gemma":[0.98842096,0.00009830707,0.009112023,0.000006460445,0.000007992213,0.000035114666,0.0018335301,0.000014310669,0.00047117358],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988544,0.000025944833,0.000007357614,0.000023961617,0.00003798098,0.000019246796],"domain_scores_gemma":[0.99968743,0.00008622199,0.00006646828,0.000030808438,0.00010371931,0.00002535865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024831863,0.00027479164,0.00018030682,0.0010252432,0.0002100136,0.0003075064,0.00023107864,0.00015004213,0.0007751435],"category_scores_gemma":[0.00062429026,0.00020350069,0.00018841134,0.00088695646,0.00010681318,0.00044237342,0.00030980402,0.00009886769,0.00028668018],"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":[0.0007459041,0.00013337801,0.76262456,0.00016979029,0.00017619469,0.00024187501,0.00045322298,0.04182246,0.09690903,0.00042994818,0.0011357756,0.09515789],"study_design_scores_gemma":[0.000032834483,0.0001418545,0.87342966,0.000022286229,0.00007485073,0.000080769314,0.0002597933,0.10359378,0.02044511,0.0001998139,0.0016940602,0.000025121108],"about_ca_topic_score_codex":0.008139554,"about_ca_topic_score_gemma":0.013913098,"teacher_disagreement_score":0.008139554,"about_ca_system_score_codex":0.00027553225,"about_ca_system_score_gemma":0.00019658075,"threshold_uncertainty_score":0.01618433},"labels":[],"label_agreement":null},{"id":"W1608968540","doi":"","title":"An Examination of the Application of Professional Reliance To Management of Karst Resources In British Columbia (Canada)","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Karst Systems and Hydrogeology","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":"Karst; Recreation; Multidisciplinary approach; Cave; Geography; Natural resource; Ecosystem management; Environmental resource management; Work (physics); Natural resource management; Water resources; Environmental planning; Ecology; Ecosystem; Archaeology; Environmental science; Engineering; Sociology; Social science; Biology","score_opus":0.008129905479748827,"score_gpt":0.21447483611587007,"score_spread":0.20634493063612125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1608968540","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9360232,0.0009022147,0.0003770274,0.009350073,0.00004161261,0.00008443434,0.0003253277,0.00002013907,0.052875973],"genre_scores_gemma":[0.98973,0.00083719136,0.0002873919,0.000977681,0.000008869092,0.000026067019,0.00009928505,0.000010992897,0.00802264],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99540114,0.00068244303,0.00016725546,0.00029371385,0.002302224,0.0011531056],"domain_scores_gemma":[0.98075265,0.0033896486,0.0020060646,0.00034490039,0.009964062,0.0035426656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025695907,0.000111386704,0.00016558629,0.002267388,0.009160733,0.0040970077,0.0016462816,0.000830121,0.0029663863],"category_scores_gemma":[0.0132737635,0.00029462407,0.00013815287,0.005202441,0.0040319664,0.0007739264,0.0028845393,0.00141332,0.00016554067],"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":[0.00008638236,0.00013124301,0.538625,0.00036944536,0.000040314066,0.001473346,0.29874414,0.0006045631,0.0012754163,0.010404946,0.02551811,0.122727044],"study_design_scores_gemma":[0.0000030419717,0.000021813397,0.7805491,0.00018851971,0.00000795316,0.000110226414,0.18557966,0.0002877981,0.0000978366,0.00029401897,0.03283748,0.000022497266],"about_ca_topic_score_codex":0.9902682,"about_ca_topic_score_gemma":0.9972167,"teacher_disagreement_score":0.07618067,"about_ca_system_score_codex":0.07618067,"about_ca_system_score_gemma":0.09726993,"threshold_uncertainty_score":0.552732},"labels":[],"label_agreement":null},{"id":"W1613622704","doi":"","title":"Forecasting for Wind Power Plants in Quebec, Canada","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wind power; Meteorology; Environmental science; Order (exchange); Geography; Operations research; Business; Engineering; Finance","score_opus":0.018930946693124128,"score_gpt":0.2154493341021345,"score_spread":0.19651838740901037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1613622704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67156184,0.007626062,0.02294336,0.0059909127,0.0004278685,0.00033239945,0.21166833,0.0020258666,0.07742334],"genre_scores_gemma":[0.91038203,0.0026145387,0.009523179,0.00021534387,0.000040335315,0.00006387536,0.054493956,0.0001084697,0.02255819],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997774,0.000012234926,0.000009331607,0.00003794408,0.00012251733,0.00004069656],"domain_scores_gemma":[0.99927336,0.000049622966,0.000043067972,0.000019894223,0.00055662845,0.000057345518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032154383,0.00047897364,0.0002513866,0.0014469629,0.0010307472,0.001009992,0.00060944026,0.00037240385,0.004232978],"category_scores_gemma":[0.0010407006,0.00018957746,0.000278058,0.0025768713,0.00012609585,0.00043604895,0.00018797943,0.00053255964,0.0006724169],"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":[0.0002515662,0.0001411351,0.223483,0.00035604404,0.00021649817,0.00064761273,0.00051760074,0.35356623,0.0030852768,0.0057522883,0.23645543,0.17552727],"study_design_scores_gemma":[0.00006358104,0.000039102724,0.33245465,0.0001836884,0.000053572065,0.00008704773,0.00079147244,0.5904033,0.0011844183,0.00085846276,0.073786035,0.00009458255],"about_ca_topic_score_codex":0.99520206,"about_ca_topic_score_gemma":0.9969649,"teacher_disagreement_score":0.016235687,"about_ca_system_score_codex":0.016235687,"about_ca_system_score_gemma":0.014507274,"threshold_uncertainty_score":0.117798686},"labels":[],"label_agreement":null},{"id":"W1614464903","doi":"","title":"Structure and Components of the Warning and Emergency Response System at Turtle Mountain, Alberta, Canada","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Warning system; Geography; Emergency response; Environmental resource management; Engineering; Environmental science; Telecommunications; Medical emergency","score_opus":0.006583814012197928,"score_gpt":0.19625368000946347,"score_spread":0.18966986599726554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1614464903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6699858,0.0015284539,0.04290785,0.0030834908,0.00016619003,0.0019653363,0.0058735237,0.006499263,0.26799008],"genre_scores_gemma":[0.8774864,0.0007581589,0.033428404,0.0002911998,0.000024378256,0.00024967833,0.0046120174,0.0001235811,0.08302618],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99957484,0.000019916135,0.000007144016,0.000041301995,0.00022591552,0.00013088285],"domain_scores_gemma":[0.9994473,0.000014850469,0.000018295714,0.00001196101,0.00039886407,0.00010869711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023281066,0.000363987,0.00016462628,0.0010392487,0.0023856212,0.0014035914,0.0009250014,0.00033955858,0.009047463],"category_scores_gemma":[0.0004473924,0.0002589799,0.0001070962,0.0010460991,0.0006340239,0.0003771772,0.0007761558,0.00028036008,0.0016130912],"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":[0.0006829508,0.00038974197,0.17782895,0.00033200663,0.00007533289,0.0017563101,0.0057053803,0.053490214,0.054396357,0.014271206,0.09064909,0.60042244],"study_design_scores_gemma":[0.00018288322,0.00066017115,0.48380646,0.00033581635,0.00015229922,0.00064231944,0.014146124,0.112136714,0.013742541,0.0023523408,0.37157375,0.00026866866],"about_ca_topic_score_codex":0.969375,"about_ca_topic_score_gemma":0.9763796,"teacher_disagreement_score":0.030624986,"about_ca_system_score_codex":0.012591017,"about_ca_system_score_gemma":0.029657258,"threshold_uncertainty_score":0.09135467},"labels":[],"label_agreement":null},{"id":"W1615255174","doi":"","title":"Development of a reliable wind database for eastern Canada.","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Meteorological Phenomena and Simulations","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":"Robustness (evolution); Random error; Systematic error; Data quality; Scale (ratio); Computer science; Non-sampling error; Observational study; Observational methods in psychology; Data mining; Database; Statistics; Econometrics; Mathematics; Geography; Engineering; Algorithm; Cartography","score_opus":0.04435987384646731,"score_gpt":0.24809313701758448,"score_spread":0.20373326317111717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1615255174","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.090943694,0.0011833278,0.05392254,0.0010914393,0.0002582833,0.0014840197,0.8068015,0.0055184234,0.038796756],"genre_scores_gemma":[0.16968702,0.0011293666,0.13721809,0.00018703389,0.00003120158,0.0007626468,0.67358994,0.0005994967,0.016795233],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991141,0.000041285166,0.00008080106,0.00010320775,0.0005319709,0.00012874912],"domain_scores_gemma":[0.9932713,0.00010695339,0.0002035492,0.00036417478,0.0056164097,0.0004376457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001415723,0.00064857904,0.00048941723,0.0037599157,0.0020248871,0.0017046259,0.0018806278,0.00051906117,0.008497608],"category_scores_gemma":[0.0034865327,0.0004858261,0.00045083638,0.005822468,0.00020638017,0.0012697539,0.00083114713,0.00082574994,0.0032659278],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040184776,0.00036474556,0.17780441,0.00077086285,0.00025562543,0.0005108548,0.000747073,0.0542318,0.006731921,0.0147321075,0.3669406,0.37650824],"study_design_scores_gemma":[0.00029642478,0.000095616764,0.28679228,0.0006464962,0.00018408727,0.00019322266,0.001406319,0.103568606,0.011042403,0.0033275506,0.59217024,0.00027669896],"about_ca_topic_score_codex":0.9801501,"about_ca_topic_score_gemma":0.98350334,"teacher_disagreement_score":0.019849896,"about_ca_system_score_codex":0.012075604,"about_ca_system_score_gemma":0.055286486,"threshold_uncertainty_score":0.08761501},"labels":[],"label_agreement":null},{"id":"W1615832256","doi":"","title":"Measurements and modelling of tropospheric bromine monoxide for the Canadian Arctic within the COBRA-IPY project","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cobra; Bromine; Environmental science; The arctic; Troposphere; Meteorology; Atmospheric sciences; Climatology; Chemistry; Geography; Physics; Oceanography; Computer science; Geology; Organic chemistry","score_opus":0.051292084799023044,"score_gpt":0.2411088052571417,"score_spread":0.18981672045811865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1615832256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97484684,0.0004390759,0.0071092863,0.00043873812,0.0000584329,0.000098869226,0.008076019,0.0007552399,0.008177473],"genre_scores_gemma":[0.98933244,0.00021437835,0.0050143427,0.000033234726,0.0000069198213,0.000047970272,0.0034427117,0.00012828881,0.001779731],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9993606,0.00005312698,0.000016230402,0.00014254826,0.0002515902,0.00017592424],"domain_scores_gemma":[0.9994677,0.00006170661,0.000033239052,0.000047822075,0.00032080588,0.00006875577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011828121,0.0015368982,0.0008939251,0.00060940516,0.0030888636,0.002016311,0.0017901319,0.0012001238,0.00095058366],"category_scores_gemma":[0.0009247151,0.00086138846,0.0011578827,0.0016222958,0.0007384535,0.0012269936,0.00064822467,0.0010695104,0.0003798561],"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":[0.0010756879,0.00029716446,0.07703697,0.0001363371,0.00030223862,0.00018448732,0.00042210158,0.884812,0.013461779,0.0011238494,0.004022779,0.017124616],"study_design_scores_gemma":[0.00028107272,0.00013713802,0.1305057,0.000027309938,0.0002074905,0.000036128247,0.00037452905,0.84761804,0.013672862,0.0003366131,0.0066271867,0.00017601666],"about_ca_topic_score_codex":0.9698443,"about_ca_topic_score_gemma":0.96042705,"teacher_disagreement_score":0.030155718,"about_ca_system_score_codex":0.014310008,"about_ca_system_score_gemma":0.016363835,"threshold_uncertainty_score":0.10382688},"labels":[],"label_agreement":null},{"id":"W1617633935","doi":"","title":"Lidar Measurements of Methane and Applications for Aircraft and Spacecraft","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","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":"Methane; Permafrost; Atmospheric methane; Greenhouse gas; Environmental science; Atmospheric sciences; Lidar; Atmosphere (unit); Climate change; Global warming; Carbon fibers; Absorption (acoustics); Remote sensing; Meteorology; Geology; Chemistry; Materials science; Geography","score_opus":0.01968344721985343,"score_gpt":0.24669901795704324,"score_spread":0.2270155707371898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1617633935","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":[0.3309048,0.017940644,0.5753552,0.0035865766,0.002014506,0.00074413494,0.006377717,0.010794143,0.05228224],"genre_scores_gemma":[0.60441375,0.003984786,0.3738925,0.000999596,0.00035043314,0.00041166888,0.00416109,0.00021464926,0.011571483],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99945134,0.00008820445,0.000024114031,0.00009209781,0.00028366043,0.00006059076],"domain_scores_gemma":[0.9994992,0.00006623229,0.00004556796,0.00007934803,0.0002751202,0.00003460784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081597647,0.0004983579,0.0002468506,0.0011759575,0.00031134012,0.00055233523,0.0007118542,0.00091504643,0.003970171],"category_scores_gemma":[0.0007849321,0.0002709249,0.00042442052,0.0011605191,0.00014118903,0.00080623646,0.00066697557,0.0004952465,0.0016910762],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002615729,0.00014712087,0.014372441,0.0003901393,0.000060870294,0.0003757028,0.00022581403,0.003106553,0.6059392,0.003483424,0.008803608,0.3628335],"study_design_scores_gemma":[0.00014566563,0.0011782078,0.027105315,0.0002061997,0.0001830569,0.0016792198,0.000549615,0.09649783,0.65068597,0.0037094592,0.21786468,0.00019479207],"about_ca_topic_score_codex":0.00093455374,"about_ca_topic_score_gemma":0.0013959303,"teacher_disagreement_score":0.003970171,"about_ca_system_score_codex":0.0003490331,"about_ca_system_score_gemma":0.0003658834,"threshold_uncertainty_score":0.013281584},"labels":[],"label_agreement":null},{"id":"W1617697314","doi":"","title":"Shelf-basin transport of freshwater into the Labrador Sea","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological Studies and Exploration","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":"Oceanography; Thermohaline circulation; Climatology; Archipelago; Arctic; Structural basin; Geology; Environmental science","score_opus":0.023725740559969954,"score_gpt":0.22171875000423877,"score_spread":0.1979930094442688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1617697314","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886441,0.0002627533,0.00041394852,0.0001856956,0.000013213157,0.0000070615147,0.0014205815,0.00012221694,0.008930381],"genre_scores_gemma":[0.9968844,0.00019170364,0.00034678716,0.000030237159,0.0000032907517,0.0000037508128,0.00043923518,0.000022037373,0.0020785048],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999335,0.000010961624,0.000005197735,0.000016342869,0.000011408086,0.000022500524],"domain_scores_gemma":[0.9999007,0.000011318169,0.000028726748,0.000008429804,0.00002763473,0.000023155108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000093394345,0.00023576351,0.00021958104,0.00056025403,0.0004653696,0.00097383175,0.0003760201,0.00021563277,0.0026275534],"category_scores_gemma":[0.00032401146,0.00014783478,0.0003491239,0.0005743651,0.00020639964,0.0003506986,0.0005144851,0.00015113773,0.00048166554],"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":[0.0011294746,0.00014187877,0.7074014,0.00026422704,0.00052492874,0.00091862114,0.0010037242,0.099215634,0.05735437,0.008203087,0.007843155,0.11599939],"study_design_scores_gemma":[0.00011243082,0.00030703994,0.87634164,0.00007874473,0.00021593872,0.00013679262,0.0010697126,0.08823177,0.013315386,0.0013958196,0.018690733,0.00010398201],"about_ca_topic_score_codex":0.34575453,"about_ca_topic_score_gemma":0.3080198,"teacher_disagreement_score":0.34575453,"about_ca_system_score_codex":0.0031848792,"about_ca_system_score_gemma":0.0020611794,"threshold_uncertainty_score":0.687484},"labels":[],"label_agreement":null},{"id":"W1622014515","doi":"","title":"Changes in Multiyear Sea Ice in Yelverton Bay, Ellesmere Island, Canada","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Arctic and Antarctic ice dynamics","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":"Sea ice; Geology; Antarctic sea ice; Bay; Oceanography; Arctic ice pack; Fast ice; Sea ice thickness; Ice shelf; Drift ice; Cryosphere","score_opus":0.010932874028001362,"score_gpt":0.2094271924623719,"score_spread":0.19849431843437054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1622014515","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981078,0.00034552082,0.00006466701,0.000043262946,0.0000037076732,0.0000074310874,0.0007309442,0.000006767005,0.0006898531],"genre_scores_gemma":[0.99599314,0.00031814075,0.0003082247,0.00004216286,0.000002163236,0.0000111438785,0.0013283516,0.000005352151,0.00199127],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997662,0.000013708142,0.000013362453,0.0000548023,0.00007350288,0.00007845771],"domain_scores_gemma":[0.99937856,0.00003362286,0.00011550504,0.000016913345,0.00031330556,0.00014199683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003253195,0.00022614741,0.00018668214,0.0013883488,0.0006955287,0.0007657982,0.00045544808,0.00025104766,0.0006284946],"category_scores_gemma":[0.0005305533,0.00017783769,0.00014807138,0.0014623146,0.00039413068,0.00042939017,0.0005507106,0.000188464,0.00014968876],"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":[0.00009626501,0.000023523202,0.9846644,0.000029371857,0.00005271417,0.00019380324,0.0012558827,0.00029640144,0.0022476756,0.00003861653,0.0005065705,0.010594778],"study_design_scores_gemma":[0.0000017600566,0.0000049642144,0.9982273,0.000008723991,0.0000044738285,0.000018540357,0.00086533534,0.00014891879,0.00018158801,0.0000025089084,0.0005327885,0.000003166202],"about_ca_topic_score_codex":0.95894665,"about_ca_topic_score_gemma":0.99170494,"teacher_disagreement_score":0.041053355,"about_ca_system_score_codex":0.010020749,"about_ca_system_score_gemma":0.005004407,"threshold_uncertainty_score":0.08259022},"labels":[],"label_agreement":null},{"id":"W1622862267","doi":"","title":"Peopling of the high Arctic - induced by sea ice?","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Indigenous Studies and Ecology","field":"Health Professions","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":"Beringia; Sea ice; Arctic; Arctic ice pack; Arctic ecology; Arctic sea ice decline; Prehistory; Oceanography; Geography; Geology; Climatology; Physical geography; Drift ice; Archaeology","score_opus":0.04060438949163128,"score_gpt":0.3416947895168645,"score_spread":0.30109040002523324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1622862267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9256896,0.0032747083,0.00007330485,0.018304659,0.00058216567,0.0000115413,0.00007054494,0.000009423796,0.05198407],"genre_scores_gemma":[0.98781073,0.0031905775,0.000038362494,0.0014493603,0.00023425632,0.000006269724,0.000031165117,0.0000037236478,0.0072356905],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99974734,0.0001041747,0.000004521674,0.000021274196,0.00002296335,0.000099691744],"domain_scores_gemma":[0.9997578,0.000027263852,0.000042817555,0.000007296328,0.000027401746,0.00013739525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003039029,0.00011627726,0.00014491529,0.00028659878,0.0031688034,0.0013862236,0.00014957417,0.00046124298,0.003989875],"category_scores_gemma":[0.00093705876,0.000104965926,0.000080213504,0.00047824343,0.0014918369,0.00079027103,0.0012029066,0.0008989945,0.00034294918],"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":[0.0001443748,0.00019020044,0.25009522,0.00032252306,0.000037074482,0.0045504174,0.5317538,0.000067003886,0.0012085323,0.010284951,0.065726064,0.13561992],"study_design_scores_gemma":[0.0000063737125,0.000109395616,0.3056515,0.00019510786,0.000010778051,0.0023791932,0.58710265,0.00004283242,0.00010920361,0.0015182791,0.10285555,0.00001924847],"about_ca_topic_score_codex":0.03826264,"about_ca_topic_score_gemma":0.1278549,"teacher_disagreement_score":0.03826264,"about_ca_system_score_codex":0.0006056605,"about_ca_system_score_gemma":0.001135596,"threshold_uncertainty_score":0.076079845},"labels":[],"label_agreement":null},{"id":"W1623222390","doi":"","title":"Response to Natural Hazards: Multi-Level Governance Challenges in Newfoundland & Labrador, Canada","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Natural (archaeology); Geography; Corporate governance; Business; Archaeology","score_opus":0.05776003490133307,"score_gpt":0.30699349514143476,"score_spread":0.24923346024010168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1623222390","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8775205,0.0027460316,0.0010235748,0.0558965,0.00025025205,0.00050057546,0.00369634,0.00013762334,0.058228616],"genre_scores_gemma":[0.92901623,0.0020783776,0.001776401,0.0041143536,0.00004022841,0.00015873302,0.0013895846,0.00007382784,0.061352324],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973838,0.00023925897,0.00007418304,0.00016402396,0.00039909309,0.001739555],"domain_scores_gemma":[0.99408555,0.00049288926,0.00042864514,0.000190696,0.002191688,0.0026104704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017734244,0.00036844015,0.00071040285,0.0013121951,0.012874506,0.0068376097,0.0027363356,0.0014288478,0.008259922],"category_scores_gemma":[0.0037476649,0.00063681207,0.0004745217,0.002376699,0.002523537,0.0019893772,0.0033041728,0.0022748152,0.0005489272],"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":[0.0011935638,0.001072347,0.5180098,0.00083980977,0.00063081254,0.0059740026,0.035292327,0.018955173,0.003369667,0.03450025,0.20592572,0.17423654],"study_design_scores_gemma":[0.00012596756,0.000105663705,0.81581247,0.0004317775,0.00011489994,0.00023603677,0.086950675,0.004514057,0.00058184855,0.001442108,0.08949086,0.00019354829],"about_ca_topic_score_codex":0.9988789,"about_ca_topic_score_gemma":0.99983287,"teacher_disagreement_score":0.13529979,"about_ca_system_score_codex":0.13529979,"about_ca_system_score_gemma":0.19881825,"threshold_uncertainty_score":0.98167324},"labels":[],"label_agreement":null},{"id":"W1624598918","doi":"","title":"Geomorphic processes and plant distribution","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Aeolian processes and effects","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Distribution (mathematics); Geology; Geography; Physical geography; Mathematics","score_opus":0.013314579697083113,"score_gpt":0.20911833359364293,"score_spread":0.19580375389655982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1624598918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99400383,0.0005595141,0.0002919005,0.00016167002,0.000003816249,0.000001959086,0.00027580524,0.000010213767,0.0046913703],"genre_scores_gemma":[0.99837214,0.00023624669,0.000059951148,0.000007546301,0.000003128999,0.0000011109626,0.00014468393,0.000004015102,0.0011713168],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99997556,0.0000064263213,0.0000013399218,0.000005471191,0.000003503429,0.000007766303],"domain_scores_gemma":[0.99988675,0.00003735676,0.000026090016,0.000008836334,0.000019530404,0.00002136046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012604453,0.00008436844,0.00008739709,0.00065298856,0.00016469818,0.0003873906,0.00011560088,0.00016218476,0.0050277626],"category_scores_gemma":[0.00031411825,0.00012175962,0.000101367834,0.00069877726,0.0003250554,0.00035076382,0.00026878866,0.00013526426,0.00042555644],"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":[0.00031595957,0.000070329814,0.89563227,0.000103339094,0.000094921845,0.00026458618,0.0004879985,0.009090888,0.0318126,0.009966655,0.0015821665,0.050578274],"study_design_scores_gemma":[0.0000049595546,0.000010617609,0.99582666,0.0000034570876,0.0000072568264,0.000044847246,0.00013096284,0.0012598141,0.00031154635,0.0010066458,0.0013913237,0.0000020140162],"about_ca_topic_score_codex":0.014294969,"about_ca_topic_score_gemma":0.022769712,"teacher_disagreement_score":0.014294969,"about_ca_system_score_codex":0.0005455209,"about_ca_system_score_gemma":0.00014607066,"threshold_uncertainty_score":0.028423548},"labels":[],"label_agreement":null},{"id":"W1626234301","doi":"","title":"Snow albedo feedback: comparing climate models with new observational data","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Albedo (alchemy); Climatology; Snow; Observational study; Environmental science; Meteorology; Climate model; Climate change; Remote sensing; Geography; Geology; Mathematics; Statistics; History","score_opus":0.1460100002157614,"score_gpt":0.27505666889399566,"score_spread":0.12904666867823425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1626234301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888032,0.00027706023,0.003931582,0.00056360586,0.00011781338,0.000027420543,0.0037002594,0.0006686822,0.0019104728],"genre_scores_gemma":[0.99680847,0.00009424343,0.0011715039,0.000055226184,0.000042414922,0.00001773335,0.0015945967,0.00009625181,0.00011952873],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99945027,0.00021262592,0.000054649936,0.00015659971,0.00008427715,0.000041527608],"domain_scores_gemma":[0.9964624,0.001969258,0.00036765612,0.00047399665,0.0005615628,0.00016523097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002803716,0.0009503076,0.00068761816,0.0008679864,0.0006439025,0.0010479934,0.0015311613,0.001039015,0.0014995956],"category_scores_gemma":[0.0058660284,0.0005372787,0.0014097434,0.0009125433,0.00048585763,0.0021500946,0.0005247199,0.0005794336,0.00045569232],"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":[0.0014177399,0.000511363,0.19326846,0.0003193709,0.00133943,0.00017416054,0.00025801806,0.77362704,0.006257507,0.00081655703,0.0033669057,0.018643511],"study_design_scores_gemma":[0.0006201574,0.00013646025,0.1064123,0.00003748901,0.0005085707,0.00005963946,0.00010420936,0.88583,0.0035651156,0.0013492163,0.0013014965,0.00007536173],"about_ca_topic_score_codex":0.05155746,"about_ca_topic_score_gemma":0.037925445,"teacher_disagreement_score":0.05155746,"about_ca_system_score_codex":0.0015885177,"about_ca_system_score_gemma":0.0009104416,"threshold_uncertainty_score":0.102514684},"labels":[],"label_agreement":null},{"id":"W1628543133","doi":"","title":"What can we learn about deep convection in the Labrador Sea using increments of an ocean reanalysis","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Climatology; Oceanography; Deep convection; Ocean surface topography; Deep sea; Meteorology; Convection; Geography","score_opus":0.041684179297556447,"score_gpt":0.25665238561754516,"score_spread":0.21496820631998872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1628543133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93841016,0.0102843065,0.012650221,0.021085829,0.0007951959,0.000027342225,0.0040160296,0.00031211885,0.01241889],"genre_scores_gemma":[0.9820166,0.0057453015,0.007959535,0.000997471,0.00057667476,0.000012396075,0.0012462788,0.0001151104,0.0013306559],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994815,0.00016557297,0.00005391149,0.00014928174,0.00007891443,0.000071],"domain_scores_gemma":[0.9946608,0.0026792383,0.00056462013,0.0009018285,0.00090925273,0.00028434535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022193443,0.00041893424,0.000446192,0.0010045833,0.00048493667,0.003442927,0.0010376697,0.0012979932,0.0024973324],"category_scores_gemma":[0.023040622,0.000439806,0.00081146567,0.0017014204,0.0012499951,0.011708796,0.00081716274,0.0020051321,0.00065198395],"study_design_candidate":"simulation_or_modeling","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":[0.00028387626,0.00022629849,0.7909596,0.0005086088,0.0010284263,0.00016349908,0.0021650784,0.014744779,0.0031193695,0.0044347886,0.006993469,0.17537221],"study_design_scores_gemma":[0.000053123906,0.0001479703,0.91427773,0.0005640476,0.00057426974,0.00015398866,0.005907283,0.027754808,0.004083402,0.02675527,0.019542243,0.00018588045],"about_ca_topic_score_codex":0.04040663,"about_ca_topic_score_gemma":0.053562295,"teacher_disagreement_score":0.95959336,"about_ca_system_score_codex":0.0007254847,"about_ca_system_score_gemma":0.00082569016,"threshold_uncertainty_score":0.08034289},"labels":[],"label_agreement":null},{"id":"W1630648513","doi":"","title":"Response of Biogeochemical Processes to Recent Sea Ice Decreasing in Arctic Chukchi Sea and Canadian Basin","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sea ice; Biogeochemical cycle; Oceanography; Arctic; Arctic ice pack; Cryosphere; Canada Basin; Environmental science; Geology; Arctic sea ice decline; Climatology; The arctic; Structural basin; Antarctic sea ice; Geomorphology","score_opus":0.017571898616975386,"score_gpt":0.24438278955738998,"score_spread":0.2268108909404146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1630648513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99899405,0.00010868637,0.0000135899245,0.00009292822,0.0000048855463,0.0000028814775,0.00029617848,0.0000029547934,0.00048390817],"genre_scores_gemma":[0.9990227,0.000117034724,0.00003255611,0.00003607215,0.0000037246728,0.000003557906,0.00038309506,0.0000020020304,0.00039931186],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998832,0.000006960402,0.000009577283,0.00002555935,0.000018898874,0.0000558406],"domain_scores_gemma":[0.999368,0.00003989209,0.00010366886,0.000015421012,0.00031874084,0.00015435216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022256486,0.00021910356,0.00029424147,0.00075488025,0.0019513292,0.0010123878,0.0005537357,0.0005765818,0.0012819495],"category_scores_gemma":[0.00070426776,0.00024293827,0.00035286054,0.0014177334,0.0006933893,0.00034357602,0.0005656371,0.00044074006,0.00011654944],"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":[0.0004752844,0.000056790293,0.9853784,0.000059378177,0.00015825577,0.00018906716,0.0009832684,0.0018637014,0.0064289547,0.00016336406,0.0005695895,0.003673864],"study_design_scores_gemma":[0.0000028692784,0.000006312952,0.99874663,0.0000032765781,0.000012788136,0.000009928315,0.0005219846,0.00031201256,0.00012334566,0.00000851971,0.00024872422,0.0000035145042],"about_ca_topic_score_codex":0.9488323,"about_ca_topic_score_gemma":0.9653189,"teacher_disagreement_score":0.051167727,"about_ca_system_score_codex":0.0091911135,"about_ca_system_score_gemma":0.007218975,"threshold_uncertainty_score":0.102938056},"labels":[],"label_agreement":null},{"id":"W163272735","doi":"","title":"Did the Great Salinity Anomaly really prevent deep convection in the Labrador Sea from 1968 to 1971","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Oceanographic and Atmospheric Processes","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":"Geology; Anomaly (physics); Oceanography; Salinity; Water mass; Convection; Deep convection; Climatology; Meteorology; Geography","score_opus":0.01789929728874654,"score_gpt":0.23473722824715526,"score_spread":0.21683793095840873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W163272735","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98060936,0.000992767,0.00014626635,0.0047134263,0.000145898,0.000004883413,0.00029957003,0.000024781013,0.013063105],"genre_scores_gemma":[0.99711037,0.00051939115,0.00006530969,0.00048021376,0.00009964009,0.0000021994813,0.00017299248,0.000010914126,0.001538947],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99979573,0.000018029568,0.000009876665,0.000035000627,0.000023943796,0.000117364114],"domain_scores_gemma":[0.9995571,0.00004507831,0.00014998474,0.000046771594,0.000089030036,0.00011198734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005476254,0.0002073755,0.00024883955,0.0003179453,0.00068487035,0.0011906038,0.00027208353,0.0005541576,0.0016968474],"category_scores_gemma":[0.0014769793,0.00013254177,0.00023929114,0.0003885357,0.0011531167,0.0010652752,0.00063192815,0.00079653144,0.00043109653],"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":[0.0018626429,0.0001555502,0.79699373,0.0003584047,0.0002910022,0.0006984815,0.0030684352,0.0026634834,0.028430557,0.023216747,0.01534866,0.1269124],"study_design_scores_gemma":[0.00007770543,0.00018089775,0.9232697,0.00010819467,0.000066899054,0.00009060017,0.0029564141,0.000315958,0.007724203,0.002569834,0.06259193,0.00004770721],"about_ca_topic_score_codex":0.072357036,"about_ca_topic_score_gemma":0.114135765,"teacher_disagreement_score":0.072357036,"about_ca_system_score_codex":0.002200089,"about_ca_system_score_gemma":0.0015436264,"threshold_uncertainty_score":0.14387172},"labels":[],"label_agreement":null},{"id":"W1632872605","doi":"","title":"Thermodynamic Modelling of Volatiles in Kimberlite Ascent and Eruption","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological and Geochemical 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":"University of British Columbia","funders":"","keywords":"Kimberlite; Magma; Geology; Buoyancy; Fluid dynamics; Petrology; Mineralogy; Geochemistry; Thermodynamics; Volcano; Mantle (geology)","score_opus":0.02708602129840418,"score_gpt":0.21769941538733467,"score_spread":0.1906133940889305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1632872605","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98040754,0.00039480135,0.008729339,0.00023634004,0.000022915194,0.000061613944,0.00088122254,0.00013817867,0.009128023],"genre_scores_gemma":[0.9959609,0.00016156434,0.0015408318,0.000022065093,0.000010296687,0.00003682943,0.00030611377,0.000043215776,0.0019181734],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992704,0.000013581434,0.0000045792754,0.000015237695,0.000018381606,0.000021272988],"domain_scores_gemma":[0.9998417,0.000078203,0.000017223523,0.000009480732,0.000028780936,0.00002460201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024020733,0.0004092121,0.00049201865,0.0005109261,0.00064978894,0.0012786253,0.00069844926,0.0010638685,0.0017304561],"category_scores_gemma":[0.0006827976,0.0004409323,0.00062644965,0.00049516035,0.0005165863,0.0006264374,0.00041356834,0.00046666389,0.0002877306],"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":[0.000060202456,0.00006314147,0.004873999,0.000035742632,0.000025333144,0.00018843301,0.00005903292,0.98432565,0.007162661,0.0015238533,0.00017405745,0.0015078897],"study_design_scores_gemma":[0.0000101306405,0.000012948811,0.0016383841,0.0000027703713,0.000004721733,0.00001270347,0.000015283686,0.99691546,0.00078149966,0.0002758345,0.00032283054,0.000007432863],"about_ca_topic_score_codex":0.033011474,"about_ca_topic_score_gemma":0.01743951,"teacher_disagreement_score":0.033011474,"about_ca_system_score_codex":0.0014911303,"about_ca_system_score_gemma":0.00085957645,"threshold_uncertainty_score":0.06563866},"labels":[],"label_agreement":null},{"id":"W1635390369","doi":"","title":"Cenozoic Evolution of the West Cycladic Detachment System","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"earthquake and tectonic studies","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":"Boulevard; Sedimentology; Geology; Structural geology; Cenozoic; Archaeology; Geography; Paleontology","score_opus":0.013114675378796096,"score_gpt":0.21105134779086562,"score_spread":0.19793667241206953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1635390369","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98114955,0.000755895,0.00018465964,0.00029237903,0.000010786176,0.000010997907,0.00029147198,0.000014438124,0.017289842],"genre_scores_gemma":[0.99728084,0.0003439667,0.00012440272,0.000019850655,0.0000046985556,0.000003824991,0.00018296954,0.00000777127,0.002031581],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998586,0.000025130286,0.0000090211,0.000044417473,0.00002074045,0.00004206433],"domain_scores_gemma":[0.9998129,0.000012292717,0.00006226086,0.000014638643,0.00006436189,0.000033614448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027479927,0.0002238091,0.00014167927,0.0014335336,0.0009516983,0.0014227594,0.00021728115,0.00026824436,0.009484736],"category_scores_gemma":[0.00082396343,0.00023044783,0.000056640998,0.0015222222,0.0011787416,0.00056156033,0.00090065994,0.00033449059,0.00080099446],"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":[0.0008172298,0.000120347395,0.6943699,0.00043203778,0.00015888023,0.0008773484,0.03572217,0.0043108934,0.023659684,0.059545696,0.006258277,0.17372744],"study_design_scores_gemma":[0.000012186771,0.000044818033,0.9727163,0.000060981063,0.0000170521,0.0002144148,0.0031818773,0.0004945156,0.0003603185,0.00072483724,0.022164363,0.000008298253],"about_ca_topic_score_codex":0.06677348,"about_ca_topic_score_gemma":0.16935964,"teacher_disagreement_score":0.06677348,"about_ca_system_score_codex":0.0020052695,"about_ca_system_score_gemma":0.00089524407,"threshold_uncertainty_score":0.13276964},"labels":[],"label_agreement":null},{"id":"W1638050792","doi":"","title":"Dependence of streaming potential on grain diameter and pore throat radius","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"NMR spectroscopy and applications","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":"Streaming current; RADIUS; Work (physics); Materials science; Porosity; Zeta potential; Grain size; Coupling (piping); Mechanics; Thermodynamics; Mineralogy; Chemistry; Physics; Composite material; Nanotechnology","score_opus":0.011304836571782897,"score_gpt":0.2970678100751177,"score_spread":0.2857629735033348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1638050792","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98426336,0.00020426582,0.014098086,0.000027544713,0.0000055343817,0.00001263223,0.00016802864,0.00017086916,0.0010497065],"genre_scores_gemma":[0.9962136,0.0001140686,0.0032371508,0.0000050776384,0.0000014512177,0.000009101522,0.0001351527,0.000016343805,0.000268067],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99974304,0.00001326643,0.000024834546,0.000073180985,0.000104868814,0.000040823557],"domain_scores_gemma":[0.9986909,0.00066363247,0.0002818346,0.000108024586,0.00019651915,0.000059121114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025336476,0.00020174109,0.00022846245,0.00029116235,0.00010898647,0.00031847405,0.0003357972,0.00020574575,0.0005661179],"category_scores_gemma":[0.0014925011,0.00020354397,0.00018895359,0.00031149274,0.00026887195,0.0004757627,0.0002505981,0.0003366879,0.00017721072],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079829195,0.000014263395,0.005140504,0.00005780605,0.000009203487,0.0001344345,0.00009004897,0.0076796333,0.980793,0.0005290867,0.0000742192,0.00539784],"study_design_scores_gemma":[0.0000060785246,0.00011584506,0.02263978,0.0000042299143,0.000016023472,0.00012039422,0.00005664606,0.053554866,0.9225606,0.00024366035,0.00065087795,0.00003107991],"about_ca_topic_score_codex":0.0016652246,"about_ca_topic_score_gemma":0.0015245322,"teacher_disagreement_score":0.0016652246,"about_ca_system_score_codex":0.00035580934,"about_ca_system_score_gemma":0.00018256564,"threshold_uncertainty_score":0.0033110976},"labels":[],"label_agreement":null},{"id":"W1639619552","doi":"","title":"Vulnerability of Selected Beaches to Petroleum Contamination, Placentia Bay, NL, Canada","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Bay; Contamination; Geography; Petroleum; Environmental science; Environmental protection; Fishery; Archaeology; Chemistry; Ecology; Biology","score_opus":0.009333849481633816,"score_gpt":0.22205990319157448,"score_spread":0.21272605370994066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1639619552","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99103504,0.000445387,0.00013146982,0.00012424271,0.000005228593,0.000044102944,0.0038863467,0.000010000004,0.004318132],"genre_scores_gemma":[0.991861,0.00065865973,0.00028387288,0.000031510706,0.0000015229074,0.000021016594,0.0014051013,0.0000046347673,0.005732687],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99965715,0.000022846601,0.000019981453,0.00005345188,0.00012823858,0.000118330376],"domain_scores_gemma":[0.99928063,0.000049695787,0.00010898319,0.000018826377,0.00041522543,0.00012665115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020937122,0.00028552965,0.00021265242,0.001428403,0.0020306208,0.0010878776,0.0006574337,0.00026751088,0.001981569],"category_scores_gemma":[0.0010357951,0.0002674512,0.00032935015,0.0028653762,0.00058657135,0.0002521141,0.0008564089,0.00022390598,0.00024992117],"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":[0.00022331081,0.000028602652,0.979677,0.00010153584,0.00010706133,0.00035350025,0.002728021,0.0008356756,0.001672965,0.00024499898,0.0017945864,0.012232778],"study_design_scores_gemma":[0.0000030840147,0.000017544146,0.995323,0.000019188707,0.000012580553,0.000051279505,0.0034256603,0.00017870913,0.00015619639,0.000026754997,0.0007792864,0.0000067640126],"about_ca_topic_score_codex":0.9930494,"about_ca_topic_score_gemma":0.9983285,"teacher_disagreement_score":0.013367789,"about_ca_system_score_codex":0.013367789,"about_ca_system_score_gemma":0.010628757,"threshold_uncertainty_score":0.096990526},"labels":[],"label_agreement":null},{"id":"W1640142366","doi":"","title":"The relative importance of relief, hydroclimate and human activity as drivers of environmental change in mountain regions","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Plant Ecology and Soil Science","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Geography; Climate change; Physical geography; Ecology; Biology","score_opus":0.018872264913100966,"score_gpt":0.25700239131614877,"score_spread":0.23813012640304781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1640142366","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99900717,0.00034085277,0.000046164965,0.0001232138,0.000002725574,0.0000018904686,0.0000612761,0.0000017424701,0.00041506076],"genre_scores_gemma":[0.99977916,0.00007699038,0.000024770845,0.000008821483,0.0000067585265,9.666128e-7,0.00003763662,0.0000010144555,0.00006376582],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995977,0.00018434906,0.000021724538,0.000044943296,0.000044576027,0.000106688676],"domain_scores_gemma":[0.9981609,0.0008439602,0.0004708482,0.00008058528,0.00020828548,0.0002354617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011237148,0.00012373108,0.00028870718,0.00092601374,0.0006192039,0.0016604459,0.00033218818,0.00045500393,0.0012423393],"category_scores_gemma":[0.002927827,0.00024023827,0.00045260784,0.001061544,0.0007329607,0.00066542637,0.00084123557,0.00035901016,0.00009780908],"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":[0.00009814697,0.000010107401,0.9950053,0.000023454335,0.00011940106,0.000075411815,0.00078814855,0.00039221556,0.0006114996,0.00030339355,0.00009172643,0.0024812936],"study_design_scores_gemma":[0.000001340093,0.000009652112,0.9988738,0.0000032563405,0.000021747388,0.000022177415,0.0005664706,0.0003109054,0.000022688555,0.00006318927,0.00010203576,0.0000027963945],"about_ca_topic_score_codex":0.033030994,"about_ca_topic_score_gemma":0.07078196,"teacher_disagreement_score":0.033030994,"about_ca_system_score_codex":0.00035465113,"about_ca_system_score_gemma":0.00041110537,"threshold_uncertainty_score":0.065677464},"labels":[],"label_agreement":null},{"id":"W1640546321","doi":"","title":"Experimentally produced peperitic textures","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological formations and processes","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 New Brunswick","funders":"","keywords":"Geology; Magma; Geochemistry; Explosive material; Volcano; Explosive eruption; Petrology; Earth science; Archaeology","score_opus":0.02523131656924676,"score_gpt":0.2511816904034705,"score_spread":0.22595037383422373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1640546321","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9869963,0.00028480066,0.003394183,0.000049977138,0.00003647448,0.0000463349,0.0006226545,0.00010002966,0.0084692715],"genre_scores_gemma":[0.9939091,0.00017717092,0.002720686,0.000018060457,0.0000054974957,0.000028199718,0.000439642,0.000057743877,0.0026438977],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99976784,0.000029940302,0.000013950009,0.000059206825,0.000072563365,0.00005652578],"domain_scores_gemma":[0.9994103,0.00022879167,0.00008140317,0.000093510585,0.00009124238,0.00009485218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024542166,0.00021472984,0.00014305934,0.00021846296,0.0002831503,0.0005203605,0.00026583282,0.00037054942,0.0075308187],"category_scores_gemma":[0.0013525712,0.00020351661,0.0001260932,0.00019743938,0.0004667864,0.00030036224,0.0004165483,0.00067732716,0.00062055717],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023843441,0.00007455888,0.0007118557,0.000054338365,0.0000057337797,0.000117029515,0.000094390314,0.00056626386,0.99506277,0.0007040486,0.00018395286,0.0021866285],"study_design_scores_gemma":[0.000043265067,0.00033882784,0.010077723,0.00001618484,0.000015422796,0.00022317929,0.00010948992,0.0032741968,0.98176104,0.00033291534,0.0037917926,0.000015852782],"about_ca_topic_score_codex":0.00056415936,"about_ca_topic_score_gemma":0.0005471986,"teacher_disagreement_score":0.0075308187,"about_ca_system_score_codex":0.00028235101,"about_ca_system_score_gemma":0.0001211137,"threshold_uncertainty_score":0.025193036},"labels":[],"label_agreement":null},{"id":"W1642501672","doi":"","title":"Freshwater Flux Through Nares Strait, West of Greenland, From a Three-Year Moored Array","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Arctic and Antarctic ice dynamics","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":"Oceanography; Geography; Archaeology; Geology","score_opus":0.020988259902737963,"score_gpt":0.22702749492070814,"score_spread":0.20603923501797017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1642501672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98826224,0.000079552876,0.0002360939,0.000068841364,0.000009665384,0.000009173852,0.009298873,0.000042321186,0.0019931968],"genre_scores_gemma":[0.9835818,0.00019869025,0.0016457046,0.000060416663,0.000012062516,0.000018957215,0.012121583,0.000026364954,0.002334493],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99990284,0.000007619807,0.000007695435,0.00004308582,0.000026487278,0.000012251898],"domain_scores_gemma":[0.9998111,0.000019264315,0.00003942526,0.000019566602,0.0000702858,0.00004030927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017690312,0.00022831155,0.00024765966,0.0008436711,0.00045398518,0.00056127436,0.00026772317,0.00024367851,0.0008709407],"category_scores_gemma":[0.00032927227,0.00013683958,0.00026092175,0.0012592066,0.00021222219,0.00043808884,0.0004988741,0.00017406253,0.0003046557],"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":[0.0004830128,0.00014127081,0.9298706,0.00013556244,0.00030033107,0.0005669188,0.0012538027,0.008429273,0.013851978,0.00037030803,0.0049157245,0.039681196],"study_design_scores_gemma":[0.000014799283,0.00002281663,0.99379176,0.000011712613,0.000024467841,0.00006035272,0.000213047,0.001663841,0.0006720259,0.00005742701,0.0034570256,0.000010763021],"about_ca_topic_score_codex":0.29888463,"about_ca_topic_score_gemma":0.5821672,"teacher_disagreement_score":0.29888463,"about_ca_system_score_codex":0.001440091,"about_ca_system_score_gemma":0.0013317321,"threshold_uncertainty_score":0.5942899},"labels":[],"label_agreement":null},{"id":"W1642567597","doi":"","title":"The geochemistry of carbonatites revisited: Two major types of continental carbonatites and their trace-element signatures","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Paleontology and Stratigraphy of Fossils","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":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Carbonatite; Geochemistry; Geology; Petrogenesis; Trace element; Ultramafic rock; Ophiolite; Metamorphic rock; Tectonics; Earth science; Paleontology; Mantle (geology)","score_opus":0.010357830330241033,"score_gpt":0.2280140106862906,"score_spread":0.21765618035604956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1642567597","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57676005,0.38454902,0.015456546,0.003946842,0.00029807858,0.000103107464,0.00374639,0.000094599585,0.015045374],"genre_scores_gemma":[0.82787925,0.14629363,0.01665345,0.001329997,0.0003419892,0.000073067386,0.0025653949,0.00005139962,0.0048118266],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9990958,0.00006697115,0.000107076245,0.00034298206,0.0003027981,0.000084428066],"domain_scores_gemma":[0.99874336,0.0003308454,0.0003452619,0.00012119833,0.00037887666,0.00008050707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012448308,0.0006406182,0.0010537454,0.007558014,0.0011059622,0.004445251,0.0010179407,0.0014693416,0.0006598667],"category_scores_gemma":[0.0017881374,0.0003270248,0.0004321964,0.013202945,0.0015273693,0.0032255137,0.0013542352,0.0014418467,0.0001797491],"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":[0.0010725906,0.00018134055,0.18276586,0.004099632,0.00053537503,0.0012178851,0.0032779404,0.0009866046,0.18988515,0.021095317,0.0019963803,0.59288603],"study_design_scores_gemma":[0.00006032747,0.0007817352,0.68495667,0.0010016679,0.00044988308,0.009636052,0.0031533143,0.0017712665,0.08746823,0.016852314,0.1936754,0.00019311254],"about_ca_topic_score_codex":0.008844036,"about_ca_topic_score_gemma":0.015418839,"teacher_disagreement_score":0.008844036,"about_ca_system_score_codex":0.0013650091,"about_ca_system_score_gemma":0.00152737,"threshold_uncertainty_score":0.017585158},"labels":[],"label_agreement":null},{"id":"W1646251955","doi":"","title":"A Simple Protocol for Enhancing the Spatial Resolution of MODIS-Based Leaf Area Index: Application over Boreal-Dominant Forested Region in Alberta, Canada","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Boreal; Taiga; Environmental science; Index (typography); Remote sensing; Leaf area index; Physical geography; Simple (philosophy); Geography; Meteorology; Forestry; Cartography; Computer science; Ecology; Archaeology","score_opus":0.013660571127637054,"score_gpt":0.24988669895048793,"score_spread":0.23622612782285088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1646251955","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":[0.2694693,0.0009656549,0.45859426,0.0013280655,0.001036197,0.1342498,0.06324029,0.01807808,0.05303825],"genre_scores_gemma":[0.11153045,0.000690872,0.80452365,0.00045988965,0.00012235201,0.04583909,0.014796319,0.0009741003,0.021063276],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9982747,0.00024456318,0.00025285376,0.00028326648,0.0007110908,0.00023350627],"domain_scores_gemma":[0.9963329,0.0003559221,0.00018674949,0.0005950075,0.002338567,0.00019078347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042867567,0.00079145347,0.00055068615,0.0025321227,0.002756183,0.0010507241,0.0013205896,0.0005746019,0.01310218],"category_scores_gemma":[0.0051473677,0.0008605115,0.0005532048,0.0030161021,0.0006828585,0.00040838498,0.00090297643,0.0008769969,0.0032685893],"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":[0.0022799356,0.0011390441,0.027670015,0.0013300047,0.00013935745,0.0012028795,0.0034174602,0.009058424,0.4516093,0.0042299526,0.089077145,0.40884644],"study_design_scores_gemma":[0.0015340656,0.00090649247,0.44455075,0.00036463462,0.0003240484,0.0008959867,0.003446071,0.024912313,0.19811249,0.0033511703,0.3207861,0.0008158308],"about_ca_topic_score_codex":0.49751374,"about_ca_topic_score_gemma":0.7602477,"teacher_disagreement_score":0.5024862,"about_ca_system_score_codex":0.004596891,"about_ca_system_score_gemma":0.009761491,"threshold_uncertainty_score":0.98923576},"labels":[],"label_agreement":null},{"id":"W1647148771","doi":"","title":"A new Shallow Ice Scheme for Alpine Glaciers","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Glacier; Geology; Ice sheet; Physical geography; Geography; Geomorphology","score_opus":0.03829925193688133,"score_gpt":0.2573435468185508,"score_spread":0.2190442948816695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1647148771","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":[0.39047235,0.00042575118,0.5540531,0.00072122033,0.00055526727,0.00085509307,0.0067813145,0.001611155,0.04452471],"genre_scores_gemma":[0.60442954,0.00026215048,0.37752697,0.00011329269,0.000095523465,0.00037319356,0.004337709,0.00024167172,0.012619931],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998055,0.000034009943,0.00002853992,0.00003793581,0.00005480545,0.000039266386],"domain_scores_gemma":[0.9992539,0.000049923176,0.00005793582,0.00025204552,0.0002779469,0.000108281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056980795,0.0001830401,0.0002119185,0.0009367467,0.000661484,0.0007771305,0.0006073956,0.0002518088,0.0024152831],"category_scores_gemma":[0.0011496132,0.0001325754,0.00024808175,0.0007241909,0.00036396203,0.0015211008,0.0010136425,0.0005717362,0.00047969533],"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":[0.0005849436,0.00020524563,0.044435706,0.00020041237,0.00004621527,0.00011751472,0.0012168001,0.07955313,0.040865127,0.21299066,0.020621968,0.5991623],"study_design_scores_gemma":[0.00027062843,0.000687138,0.065461494,0.00024741713,0.0001121137,0.00027850928,0.0013227878,0.42518967,0.019264515,0.14795147,0.33901402,0.00020021893],"about_ca_topic_score_codex":0.008533096,"about_ca_topic_score_gemma":0.014787054,"teacher_disagreement_score":0.008533096,"about_ca_system_score_codex":0.0008042446,"about_ca_system_score_gemma":0.0016551741,"threshold_uncertainty_score":0.01696682},"labels":[],"label_agreement":null},{"id":"W1649621212","doi":"","title":"Anisotropy of thermal conductivity of Gneiss and Greywacke from the Tauern Window and the Vienna basin, Austria","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Gneiss; Window (computing); Nova scotia; Anisotropy; Thermal conductivity; Geomorphology; Petrology; Metamorphic rock; Thermodynamics; Physics","score_opus":0.020228059438760708,"score_gpt":0.22078530437503052,"score_spread":0.2005572449362698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1649621212","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982345,0.00005259412,0.00017439477,0.000014679021,0.0000025431823,0.000003172179,0.00017196633,0.000014427167,0.0013317422],"genre_scores_gemma":[0.9996213,0.000019028968,0.000057619724,0.0000030353253,0.0000015082862,0.0000027440428,0.00011596228,0.0000064536353,0.00017235965],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99986184,0.000011120162,0.000008806955,0.000053062864,0.000027897893,0.000037304813],"domain_scores_gemma":[0.9998386,0.000035482873,0.000019399766,0.000010710891,0.00007106141,0.000024764118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019375833,0.00029657257,0.00051380345,0.0016714901,0.0006471336,0.0009716575,0.00045628153,0.0005721587,0.0013333489],"category_scores_gemma":[0.0008119789,0.00034616282,0.000348092,0.0010025792,0.0008067352,0.000854609,0.0006817124,0.00030170396,0.00031490656],"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":[0.0010938827,0.00015463117,0.8613362,0.00015394652,0.0004359075,0.0008507748,0.0038360462,0.021828247,0.089241505,0.0018929433,0.00062949624,0.018546443],"study_design_scores_gemma":[0.000021781658,0.000021840106,0.9922023,0.000015361042,0.000047464797,0.00008646559,0.0005624446,0.005181982,0.0012751844,0.0001719362,0.0003954734,0.000017731649],"about_ca_topic_score_codex":0.06775417,"about_ca_topic_score_gemma":0.08022092,"teacher_disagreement_score":0.06775417,"about_ca_system_score_codex":0.00081253384,"about_ca_system_score_gemma":0.00046027472,"threshold_uncertainty_score":0.13471961},"labels":[],"label_agreement":null},{"id":"W1650361794","doi":"","title":"Field and laboratory rainfall simulation as a tool to investigate Quaternary badland geomorphic development","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological 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":"Hebrew; Geography; Scopus; Archaeology; History; Political science; Classics","score_opus":0.022933036254152845,"score_gpt":0.24454246913973246,"score_spread":0.2216094328855796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1650361794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98881906,0.000044018725,0.0066976417,0.000048223366,0.00002050046,0.00008817547,0.0015251935,0.00040490064,0.002352172],"genre_scores_gemma":[0.9938226,0.000022806504,0.005325581,0.000008709484,0.0000034189159,0.000060457016,0.0005381219,0.000017327618,0.0002009124],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997441,0.00014426811,0.000017556522,0.000047073117,0.00002092769,0.000026099982],"domain_scores_gemma":[0.9985678,0.0008125482,0.000120686884,0.00021096859,0.00017268285,0.000115190654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001229294,0.0003699187,0.00038689532,0.0005702086,0.00029671626,0.0005514249,0.0005407386,0.00047187597,0.0012203755],"category_scores_gemma":[0.0011189193,0.00020513752,0.00026227007,0.00088104146,0.00034795282,0.0004381978,0.00023299965,0.0003046348,0.00014816926],"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":[0.0009861732,0.0018061583,0.14388841,0.00009932942,0.0001484655,0.00016729797,0.00018783771,0.81607896,0.010303259,0.0011572583,0.0019591777,0.023217695],"study_design_scores_gemma":[0.00026985322,0.00069401663,0.05980211,0.000010836479,0.0000635212,0.000031239804,0.00019801188,0.93225724,0.0050727,0.0004587233,0.0011068067,0.000034993198],"about_ca_topic_score_codex":0.021824256,"about_ca_topic_score_gemma":0.023058152,"teacher_disagreement_score":0.021824256,"about_ca_system_score_codex":0.0007042405,"about_ca_system_score_gemma":0.0006820873,"threshold_uncertainty_score":0.043394446},"labels":[],"label_agreement":null},{"id":"W1651095589","doi":"","title":"Minerals on postage stamps: A mix of art, history, economics and geography","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Cultural Heritage Materials Analysis","field":"Arts and Humanities","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":"Postage Stamps; Stylized fact; Presentation (obstetrics); Geography; Art history; History; Economics","score_opus":0.03216831709422665,"score_gpt":0.21781091535632824,"score_spread":0.18564259826210158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1651095589","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.105900384,0.092683114,0.00661065,0.066526175,0.0013088138,0.000040660492,0.0002945144,0.00010485044,0.7265308],"genre_scores_gemma":[0.69686866,0.07866888,0.0039979075,0.0027837271,0.0028753672,0.000042784497,0.00013049149,0.0001730041,0.21445924],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99933666,0.00032272606,0.000016041387,0.00004055575,0.00022270317,0.000061352985],"domain_scores_gemma":[0.9992976,0.00048565902,0.000060668746,0.00005401576,0.0000614281,0.00004062981],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007428256,0.00026170356,0.00021494308,0.0025541296,0.0022053104,0.0065880213,0.0002645411,0.0012620798,0.013225921],"category_scores_gemma":[0.0016081547,0.00017530206,0.000100248144,0.0040746653,0.006992552,0.0056241686,0.0016243082,0.0010520227,0.0009095421],"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":[0.000037665224,0.00001846229,0.0014473305,0.00029797253,0.0000073678034,0.0003757788,0.011588769,0.00045676724,0.0005861731,0.83407444,0.050995205,0.100114055],"study_design_scores_gemma":[0.0000025091965,0.00002146509,0.0044810683,0.00030260225,0.0000035188075,0.00032106,0.011045163,0.0001865292,0.0003275357,0.050146513,0.93314844,0.000013519942],"about_ca_topic_score_codex":0.0038147767,"about_ca_topic_score_gemma":0.010964504,"teacher_disagreement_score":0.013225921,"about_ca_system_score_codex":0.0031259153,"about_ca_system_score_gemma":0.0007566928,"threshold_uncertainty_score":0.044245064},"labels":[],"label_agreement":null},{"id":"W1651754489","doi":"","title":"Aeolian Transportation effects on Loess Mineralogy and Magnetic Susceptibility","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","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":"Memorial University of Newfoundland","funders":"","keywords":"Loess; Aeolian processes; Geology; Paleosol; Pedogenesis; Silt; Geochemistry; Sedimentary depositional environment; Geomorphology; Structural basin; Soil science; Soil water","score_opus":0.01610634543347439,"score_gpt":0.24764721005928697,"score_spread":0.23154086462581258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1651754489","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99937123,0.000071218805,0.000042912787,0.0000117179925,4.63712e-7,6.810173e-7,0.000055187986,0.0000045234015,0.00044205305],"genre_scores_gemma":[0.9995402,0.00006252062,0.00003740341,0.000003838574,7.2923643e-7,7.511976e-7,0.00007841993,0.0000031243476,0.00027307394],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99994814,0.000012142828,0.000004338107,0.000012746539,0.000010815515,0.000011848064],"domain_scores_gemma":[0.99976474,0.000054376163,0.00007648636,0.000018391842,0.000050520175,0.000035440455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001663351,0.00015955628,0.000107531116,0.000622305,0.00014187096,0.00029503784,0.00011797499,0.00013923348,0.0010722087],"category_scores_gemma":[0.0002813401,0.00008084396,0.00015943416,0.0004195167,0.00021439063,0.00018302108,0.00020851457,0.000098344615,0.00013287814],"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":[0.00042342566,0.00005397508,0.83628565,0.000063829575,0.0002048,0.00048981176,0.00056328677,0.0036308696,0.14317878,0.0005979855,0.00018319921,0.014324477],"study_design_scores_gemma":[0.0000019125268,0.000012186575,0.9981806,0.0000014340252,0.00000960572,0.00002190191,0.000060442668,0.0006271811,0.0009017718,0.00002091424,0.00016052328,0.0000015622829],"about_ca_topic_score_codex":0.034058586,"about_ca_topic_score_gemma":0.040562317,"teacher_disagreement_score":0.034058586,"about_ca_system_score_codex":0.000562608,"about_ca_system_score_gemma":0.00020671653,"threshold_uncertainty_score":0.06772065},"labels":[],"label_agreement":null},{"id":"W16519370","doi":"","title":"High-Resolution Modeling of Canadian Rockies Snow Pack as part of the Canadian Land Data Assimilation System (CaLDAS)","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Snow; Data assimilation; Geology; Remote sensing; High resolution; Physical geography; Geography; Meteorology","score_opus":0.0731918494387173,"score_gpt":0.23574278041909882,"score_spread":0.16255093098038154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W16519370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94218886,0.0009519399,0.013587684,0.0019271792,0.00033243798,0.00017457691,0.022860654,0.0016453961,0.016331267],"genre_scores_gemma":[0.97989506,0.00030264803,0.008647266,0.000116030395,0.00002920167,0.000044004024,0.007294371,0.00015133085,0.0035201139],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996774,0.000022141516,0.000011679583,0.00006056119,0.00013480085,0.00009342148],"domain_scores_gemma":[0.99939144,0.000030221237,0.000027657661,0.000031397496,0.00044475374,0.000074545766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047923965,0.0006865937,0.0005106895,0.00071435986,0.002092888,0.001367098,0.0018250098,0.0007648166,0.002537553],"category_scores_gemma":[0.0011254728,0.00059133006,0.00077533635,0.0017389439,0.00052288675,0.00088950177,0.0005486361,0.001033982,0.000495966],"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":[0.00018680253,0.00018559874,0.047293857,0.00010578174,0.00026280744,0.00011620389,0.0002811315,0.89879817,0.00501596,0.0027493606,0.017865181,0.027139176],"study_design_scores_gemma":[0.00009784389,0.000013801299,0.053031735,0.000019022065,0.000056257366,0.000014423553,0.00010809642,0.93976116,0.0012193266,0.00036374602,0.0052523618,0.00006219211],"about_ca_topic_score_codex":0.9902636,"about_ca_topic_score_gemma":0.9917568,"teacher_disagreement_score":0.015278629,"about_ca_system_score_codex":0.015278629,"about_ca_system_score_gemma":0.026687916,"threshold_uncertainty_score":0.110854745},"labels":[],"label_agreement":null},{"id":"W1655308188","doi":"","title":"Steppe bison paleobiology through the scope of stable isotopes and zooarchaeology","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Pleistocene-Era Hominins and Archaeology","field":"Social 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":"Université de Montréal","funders":"","keywords":"Steppe; Geography; Zooarchaeology; Context (archaeology); Ecology; Mammal; Pleistocene; Archaeology; Biology","score_opus":0.03241455825929966,"score_gpt":0.3067865476744488,"score_spread":0.2743719894151491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1655308188","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948107,0.0016142941,0.00016142364,0.00004910258,0.0000020592086,0.0000025527693,0.00011622773,0.0000037868103,0.0032399343],"genre_scores_gemma":[0.9974796,0.0014628937,0.00030600603,0.00001995461,0.0000024056853,0.0000023262244,0.00009975964,0.0000024696021,0.00062461157],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999285,0.00002510045,0.0000034662728,0.000019341061,0.000009909302,0.000013741221],"domain_scores_gemma":[0.9999219,0.000016179478,0.000025578605,0.000007110031,0.0000167703,0.000012314146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019258543,0.00016054475,0.00009518672,0.0010134324,0.000306225,0.0005713075,0.00013769086,0.00011250091,0.001011086],"category_scores_gemma":[0.00021769963,0.00008493836,0.00005504889,0.00097589754,0.00029298628,0.00035404274,0.00039067015,0.00012899937,0.000093934],"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":[0.00015712882,0.000032144908,0.9292386,0.000072999595,0.00009347232,0.000196964,0.0034398239,0.0003035579,0.0055170874,0.0014737601,0.00029122442,0.05918319],"study_design_scores_gemma":[5.439965e-7,0.0000120469595,0.9968741,0.00002039981,0.000009068225,0.00012234658,0.00082585606,0.00009887125,0.00031082172,0.0001579405,0.0015650777,0.000002935412],"about_ca_topic_score_codex":0.03744195,"about_ca_topic_score_gemma":0.14043546,"teacher_disagreement_score":0.03744195,"about_ca_system_score_codex":0.00033644532,"about_ca_system_score_gemma":0.00032581892,"threshold_uncertainty_score":0.07444799},"labels":[],"label_agreement":null},{"id":"W1655589844","doi":"","title":"Assessing the Mercury Content in Mediterranean Calcareous Soils","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Heavy metals in environment","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":"Almeria; Calcareous soils; Valencia; Forestry; Soil water; Calcareous; Mercury (programming language); Mediterranean climate; Geography; Archaeology; Environmental science; Humanities; Art; Botany; Biology; Ecology; Soil science","score_opus":0.06832855616447533,"score_gpt":0.3083100394248419,"score_spread":0.23998148326036658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1655589844","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978726,0.00033168556,0.00051741494,0.000014714506,0.0000048610045,0.000020469963,0.00024563802,0.000018155923,0.00097441743],"genre_scores_gemma":[0.9957689,0.00042168426,0.0022794197,0.000044162072,0.000006681912,0.000017431665,0.0005272255,0.000011229321,0.00092331425],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997284,0.00003716806,0.000020826936,0.00008849889,0.0000970716,0.000027988233],"domain_scores_gemma":[0.99983895,0.000021244476,0.000035143697,0.000006835401,0.00007607097,0.000021769938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033412056,0.00036876852,0.00025163792,0.0008864753,0.0003092492,0.000593825,0.0003723875,0.00055887824,0.0003883044],"category_scores_gemma":[0.00042489372,0.00015439723,0.000148069,0.00054096,0.00015082792,0.0001761279,0.00028755478,0.00013887057,0.0002135155],"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":[0.0007899457,0.00011576057,0.6258547,0.00021236186,0.00025443573,0.00025445624,0.0004482855,0.0019155121,0.30979326,0.000051181258,0.00040257676,0.059907533],"study_design_scores_gemma":[0.000042932617,0.00046152595,0.93416,0.000032116768,0.000120627614,0.00026923014,0.0005506484,0.004429167,0.056237705,0.0001377416,0.0035370116,0.000021276895],"about_ca_topic_score_codex":0.020870378,"about_ca_topic_score_gemma":0.03535572,"teacher_disagreement_score":0.020870378,"about_ca_system_score_codex":0.0005236726,"about_ca_system_score_gemma":0.00027304635,"threshold_uncertainty_score":0.041497827},"labels":[],"label_agreement":null},{"id":"W1657982730","doi":"","title":"Characterization of a forest-tundra ecotone in Northern Canada: long-term monitoring possibilities","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Climate change and permafrost","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":"Ecotone; Tundra; Permafrost; Remote sensing; Environmental science; Physical geography; Vegetation (pathology); Geography; Arctic; Geology; Ecology; Habitat; Oceanography","score_opus":0.03416304426919662,"score_gpt":0.24238571612294488,"score_spread":0.20822267185374826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1657982730","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99289304,0.00068696524,0.0020065082,0.000095673524,0.000005385376,0.000058603193,0.0020823295,0.00008648652,0.002085033],"genre_scores_gemma":[0.9926317,0.00028861326,0.004344322,0.0000273553,0.0000027711812,0.000020893858,0.0016822031,0.000008629837,0.0009935886],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977654,0.000010958421,0.000010295446,0.000058152047,0.000079963116,0.00006419361],"domain_scores_gemma":[0.9989736,0.000052638687,0.000094312134,0.000040560742,0.00070198235,0.00013689892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039823411,0.00031822882,0.00023331531,0.0011268551,0.0010041633,0.0008647673,0.0006672003,0.00033083613,0.0005389636],"category_scores_gemma":[0.0007383079,0.000117974756,0.00016363843,0.002252653,0.00032940635,0.00044360038,0.00033985492,0.0003294368,0.00015874169],"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":[0.0001617465,0.00011713688,0.90326506,0.00013329518,0.00008296092,0.00029773606,0.00077303126,0.0044097225,0.014679647,0.0001864957,0.00083988206,0.07505331],"study_design_scores_gemma":[0.000005138267,0.00003128459,0.9827725,0.000027391092,0.00004098309,0.000071630406,0.001085229,0.01163288,0.0023756183,0.00007122911,0.0018673395,0.000018766736],"about_ca_topic_score_codex":0.957369,"about_ca_topic_score_gemma":0.98237795,"teacher_disagreement_score":0.04263097,"about_ca_system_score_codex":0.0064197085,"about_ca_system_score_gemma":0.006205731,"threshold_uncertainty_score":0.08576399},"labels":[],"label_agreement":null},{"id":"W1658765925","doi":"","title":"Characterisation of Mediterranean heavy rainfall events from GPS water vapour monitoring","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Precipitation Measurement and Analysis","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":"Environmental science; Geography; Meteorology","score_opus":0.04330578163701126,"score_gpt":0.2500424462935845,"score_spread":0.20673666465657325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1658765925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952526,0.00011060643,0.0010770783,0.00003661123,0.00000815754,0.000014039692,0.0022714508,0.000066587105,0.0011629307],"genre_scores_gemma":[0.9937735,0.0000830819,0.0013138548,0.0000146267375,0.000015465232,0.000011494023,0.0043779146,0.000018887831,0.00039119407],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981934,0.00002877678,0.0000141777455,0.00004864743,0.000053167943,0.000035877616],"domain_scores_gemma":[0.99961156,0.000073848,0.000073938274,0.00004422232,0.00013241978,0.00006411585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030788864,0.00025666435,0.00023111673,0.00092201325,0.00013660036,0.0004886881,0.00027360505,0.00027295473,0.0005631984],"category_scores_gemma":[0.00087685476,0.00009193698,0.00015854277,0.0008688503,0.00011100456,0.00025109772,0.00031546757,0.00014956604,0.0002869074],"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":[0.00040701785,0.00007312978,0.91704756,0.000070421105,0.00011718078,0.00029496523,0.00033961152,0.0050779996,0.017011164,0.00012272362,0.0022274435,0.057210796],"study_design_scores_gemma":[0.00001252439,0.000039348655,0.99040526,0.000008720906,0.000014936546,0.000056352575,0.00012012141,0.006330093,0.001683699,0.000033712487,0.0012876986,0.000007522782],"about_ca_topic_score_codex":0.021667419,"about_ca_topic_score_gemma":0.029661205,"teacher_disagreement_score":0.021667419,"about_ca_system_score_codex":0.00035316462,"about_ca_system_score_gemma":0.0002485709,"threshold_uncertainty_score":0.043082595},"labels":[],"label_agreement":null},{"id":"W1665149649","doi":"","title":"Origin and diagenetic history of a Lower Jurassic petroleum source rock, Middle Atlas, Morocco","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological and Geophysical Studies Worldwide","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Geology; Diagenesis; Source rock; Petroleum; Paleontology; Atlas (anatomy); Geochemistry; Structural basin","score_opus":0.025950844467718212,"score_gpt":0.20239379022915777,"score_spread":0.17644294576143954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1665149649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99654466,0.00053892727,0.000051467112,0.000053459637,0.0000031134427,0.0000043051396,0.0003701175,0.000004087702,0.002429833],"genre_scores_gemma":[0.9990513,0.00012756397,0.000082607155,0.0000083903815,0.0000027734854,0.0000019482966,0.00013644266,0.0000017738358,0.0005872942],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999205,0.000009780169,0.000006949532,0.000018047112,0.000013406551,0.000031392283],"domain_scores_gemma":[0.99983203,0.0000219262,0.00007134316,0.00000870117,0.000049108352,0.000016814769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019713088,0.00020923729,0.00013613729,0.0019890214,0.0009583873,0.0005186497,0.0001994066,0.00013380515,0.0018344914],"category_scores_gemma":[0.0003535259,0.00010670863,0.000120403005,0.001271906,0.00047510417,0.00022597433,0.00036796066,0.000119852026,0.00031734508],"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":[0.0005956066,0.000040310882,0.9090335,0.00014287797,0.000063509426,0.0010895554,0.004678205,0.0006117345,0.02470352,0.0023274724,0.00053685036,0.056176834],"study_design_scores_gemma":[0.000002819592,0.000035215988,0.9949516,0.000019380426,0.000011171405,0.00013220923,0.00054935145,0.00012527386,0.0007889986,0.000056903275,0.0033242772,0.0000027134092],"about_ca_topic_score_codex":0.20194797,"about_ca_topic_score_gemma":0.25840932,"teacher_disagreement_score":0.20194797,"about_ca_system_score_codex":0.0017568175,"about_ca_system_score_gemma":0.0008693223,"threshold_uncertainty_score":0.40154505},"labels":[],"label_agreement":null},{"id":"W166916830","doi":"","title":"Northern Hemisphere Cryospheric Connections during Deglaciation: Expected and Unexpected Responses.","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","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":"Deglaciation; Geology; Foraminifera; Paleoclimatology; Northern Hemisphere; Oceanography; Sedimentary rock; Paleontology; Southern Hemisphere; Sea level; Physical geography; Holocene; Climatology; Climate change; Geography","score_opus":0.015737009783315745,"score_gpt":0.23897708794087025,"score_spread":0.2232400781575545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W166916830","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917842,0.0008775,0.00013259822,0.0005061372,0.000042579282,0.000006649591,0.003079683,0.000019231433,0.003551363],"genre_scores_gemma":[0.9984282,0.00024169992,0.000050066796,0.00004582756,0.00003008628,0.000004444537,0.0009053216,0.0000041439926,0.00029022637],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998777,0.000023174676,0.0000067928404,0.000037541566,0.000014303834,0.000040488685],"domain_scores_gemma":[0.99936146,0.000071303315,0.00021914368,0.000054684235,0.00016991262,0.00012353924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000356545,0.00019477842,0.00012510289,0.00058332185,0.0005607989,0.0008589169,0.00020664617,0.00033025126,0.0025888619],"category_scores_gemma":[0.0015180968,0.000108081615,0.00009452677,0.0012821418,0.00031276487,0.00043660795,0.00041434655,0.00022532156,0.0002870568],"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":[0.00009336032,0.000007711752,0.99097073,0.00001990351,0.000034508652,0.00006795042,0.0005332247,0.00008826987,0.0010910738,0.00013861568,0.0010242049,0.0059304005],"study_design_scores_gemma":[5.496918e-7,0.0000034178029,0.99931645,0.000002091741,0.0000025541442,0.000008515308,0.00013187755,0.00002903778,0.000024745712,0.000013301819,0.00046676752,6.488916e-7],"about_ca_topic_score_codex":0.061393682,"about_ca_topic_score_gemma":0.13852952,"teacher_disagreement_score":0.061393682,"about_ca_system_score_codex":0.00081620354,"about_ca_system_score_gemma":0.00044356316,"threshold_uncertainty_score":0.12207264},"labels":[],"label_agreement":null},{"id":"W1674208365","doi":"","title":"Network approaches to characterize spatiotemporal clustering","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Cluster analysis; Computer science; Artificial intelligence; Data mining","score_opus":0.15639638043539925,"score_gpt":0.28632288907754566,"score_spread":0.12992650864214642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1674208365","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":[0.029717026,0.0008807409,0.9625651,0.0004641083,0.00003479065,0.000100525984,0.001297802,0.00015746675,0.00478231],"genre_scores_gemma":[0.76182085,0.0023812894,0.22326705,0.00015905501,0.00023894299,0.00051303644,0.003947821,0.00013357855,0.0075384947],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999079,0.00034617764,0.00007167466,0.00026438502,0.00016855991,0.00007017227],"domain_scores_gemma":[0.99444973,0.003490149,0.0006925973,0.00060025166,0.0005972732,0.00017012419],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018193256,0.00069413247,0.00077396806,0.0051113325,0.0010118233,0.0017876024,0.0016550914,0.0011662324,0.0025393905],"category_scores_gemma":[0.010106145,0.0004988651,0.001216728,0.0052096345,0.00088896084,0.003983195,0.0016372832,0.0011949228,0.0004042489],"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":[0.00007264518,0.000070816335,0.008117829,0.00017547315,0.0002122136,0.00013211774,0.0003990714,0.52436674,0.0012486458,0.41600758,0.00394818,0.04524867],"study_design_scores_gemma":[0.000006008491,0.000011668676,0.0014139265,0.000020652604,0.00003325311,0.000060302275,0.000117135256,0.8539834,0.00025773086,0.1412222,0.0028639468,0.000009800302],"about_ca_topic_score_codex":0.0096393945,"about_ca_topic_score_gemma":0.008486925,"teacher_disagreement_score":0.0096393945,"about_ca_system_score_codex":0.0021450948,"about_ca_system_score_gemma":0.0006688933,"threshold_uncertainty_score":0.01916653},"labels":[],"label_agreement":null},{"id":"W1674634064","doi":"","title":"Incorporating solar radiation into the litter moisture model in the Canadian Forest Fire Danger Rating System","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Fire effects on ecosystems","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":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Environmental science; Water content; Canopy; Moisture; Litter; Meteorology; Atmospheric sciences; Geography; Ecology; Engineering; Geology","score_opus":0.010013166785817786,"score_gpt":0.21612289089835984,"score_spread":0.20610972411254205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1674634064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72312695,0.0005900579,0.21542867,0.000673294,0.00019730885,0.00034721938,0.0049235243,0.0018212342,0.052891646],"genre_scores_gemma":[0.9692113,0.0002090944,0.023144597,0.000054289885,0.000016011523,0.00007056186,0.00088408013,0.00008585555,0.0063242107],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998185,0.000023238836,0.0000069794137,0.000037276917,0.00006946819,0.000044447468],"domain_scores_gemma":[0.99975234,0.00004337599,0.000019984955,0.0000117519,0.00014291455,0.000029630337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031214915,0.00044444305,0.00036603745,0.00034627903,0.0008298137,0.0009559241,0.0014559015,0.00059570646,0.0017050836],"category_scores_gemma":[0.00091275154,0.00030078721,0.00041781852,0.0004750666,0.00030043756,0.00062607933,0.00037447244,0.000519545,0.00027047013],"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":[0.000035264162,0.000029017303,0.009569691,0.00001928116,0.000015572883,0.000051536455,0.000045275763,0.9747174,0.0014211255,0.0015230888,0.001134279,0.0114384545],"study_design_scores_gemma":[0.000009120282,0.000007162825,0.0034094146,0.0000042135393,0.000008364549,0.000008971806,0.000011977459,0.9951132,0.0002971587,0.00021527612,0.0009014578,0.00001369989],"about_ca_topic_score_codex":0.8783753,"about_ca_topic_score_gemma":0.8729639,"teacher_disagreement_score":0.12162471,"about_ca_system_score_codex":0.0058461293,"about_ca_system_score_gemma":0.005378455,"threshold_uncertainty_score":0.2446819},"labels":[],"label_agreement":null},{"id":"W1675490957","doi":"","title":"The Southern Hemisphere atmospheric circulation response to volcanic eruptions in coupled climate models","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Climate variability and models","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":"Volcano; Climatology; Atmospheric research; Research centre; The arctic; Environmental science; Geography; Meteorology; Library science; Oceanography; Geology","score_opus":0.019362986271487664,"score_gpt":0.2498979743425934,"score_spread":0.23053498807110573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1675490957","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930299,0.00037731274,0.0015595584,0.00060535985,0.00010374696,0.00001676377,0.0018188547,0.00018682789,0.0023017072],"genre_scores_gemma":[0.99736387,0.0001901487,0.0006771467,0.000052765543,0.000038974424,0.000018406701,0.0011336029,0.000034975244,0.00049007527],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965847,0.00016336452,0.000022362174,0.000081508384,0.000027342508,0.00004691658],"domain_scores_gemma":[0.9990305,0.0004963109,0.00010478488,0.00009940295,0.00012798696,0.00014101113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000996969,0.0006128215,0.0006374989,0.00036170383,0.00066191476,0.0014257446,0.0007298301,0.001286923,0.0014900607],"category_scores_gemma":[0.0046434854,0.0007051216,0.00091799593,0.0007759997,0.00047310218,0.001167965,0.00081411295,0.0009465141,0.00021812142],"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":[0.00041333193,0.000088946595,0.03595958,0.00004947768,0.0003851972,0.00009745349,0.00016094663,0.95466024,0.0013068109,0.0011958486,0.001947004,0.0037352047],"study_design_scores_gemma":[0.00016212852,0.000058960115,0.027296906,0.000015721836,0.000113917056,0.0000166317,0.00006710066,0.9701091,0.00026645235,0.0010810222,0.00077832816,0.00003372598],"about_ca_topic_score_codex":0.13222857,"about_ca_topic_score_gemma":0.09359832,"teacher_disagreement_score":0.13222857,"about_ca_system_score_codex":0.0017376009,"about_ca_system_score_gemma":0.0011902744,"threshold_uncertainty_score":0.26291782},"labels":[],"label_agreement":null},{"id":"W1678901174","doi":"","title":"Remote Sensing of Snow in the Cariboo Mountains of British Columbia, Canada","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Snow; Remote sensing; Physical geography; Geography; Meteorology; Archaeology","score_opus":0.017281033515329194,"score_gpt":0.20885832439142876,"score_spread":0.19157729087609957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1678901174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97918886,0.001767834,0.00035334143,0.0004946732,0.000039751743,0.000057021196,0.006875269,0.00006157006,0.011161563],"genre_scores_gemma":[0.9866152,0.0010727129,0.0008953545,0.00009585856,0.000006849856,0.00002754034,0.002524593,0.00001729397,0.008744602],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997887,0.000017039078,0.000015242053,0.000038771796,0.00007753068,0.0000626726],"domain_scores_gemma":[0.9991893,0.000054891527,0.000041111027,0.000016348253,0.00059463363,0.00010379504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025735365,0.00029044537,0.00029926404,0.0017907702,0.0026946738,0.0016327796,0.000640324,0.00029630042,0.0020862848],"category_scores_gemma":[0.0010414539,0.00017800786,0.00017211832,0.0035685792,0.0003569012,0.00030068457,0.00059194135,0.00036408225,0.00030571362],"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":[0.00039262397,0.00016090543,0.8347435,0.00040147372,0.00023970884,0.00083337794,0.004798152,0.008008101,0.008764101,0.0011691019,0.02404042,0.11644849],"study_design_scores_gemma":[0.000029811821,0.000011493515,0.97239053,0.00018236476,0.000045594494,0.00006629778,0.006076895,0.005365752,0.0006842658,0.00012022911,0.014992679,0.000033953856],"about_ca_topic_score_codex":0.9976986,"about_ca_topic_score_gemma":0.9995018,"teacher_disagreement_score":0.01072428,"about_ca_system_score_codex":0.01072428,"about_ca_system_score_gemma":0.020324096,"threshold_uncertainty_score":0.07781041},"labels":[],"label_agreement":null},{"id":"W16869464","doi":"","title":"Late Holocene Centennial Records of Climate Change in Lake Hazar, East Anatolia, Turkey","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Marine and environmental studies","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":"Holocene; Centennial; Geology; Climate change; Physical geography; Geography; Archaeology; Climatology; Oceanography","score_opus":0.02806888580435907,"score_gpt":0.23360612496305172,"score_spread":0.20553723915869265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W16869464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931069,0.0015319752,0.00013097512,0.00023403816,0.000023843699,0.000007916192,0.0028964393,0.00002741202,0.0020405143],"genre_scores_gemma":[0.99760854,0.0004648515,0.00015529704,0.000021082411,0.000011793183,0.000008172734,0.0012878649,0.000004896236,0.00043757114],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999292,0.000008348661,0.000010275475,0.000017406412,0.000009895955,0.000024882178],"domain_scores_gemma":[0.99987257,0.000009564804,0.00004504363,0.0000061051032,0.000050588307,0.00001621303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017225542,0.0002460878,0.00025033517,0.00097172015,0.0004958759,0.0004163925,0.0003474251,0.0002992127,0.0011112848],"category_scores_gemma":[0.0002568548,0.00013100693,0.0001537278,0.0011580818,0.00029876118,0.00041778805,0.00053177465,0.00021463525,0.00025472674],"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":[0.00022358105,0.000045233344,0.9580468,0.00029534943,0.00014623353,0.0005375674,0.003938443,0.0007565734,0.003193973,0.0004122042,0.0038151026,0.028588941],"study_design_scores_gemma":[0.0000021749474,0.000007203189,0.99704945,0.0000136091685,0.000013772991,0.000060260394,0.00097281084,0.00015247501,0.00011149003,0.000023544719,0.0015891246,0.0000040736886],"about_ca_topic_score_codex":0.08596231,"about_ca_topic_score_gemma":0.15712276,"teacher_disagreement_score":0.08596231,"about_ca_system_score_codex":0.0012835439,"about_ca_system_score_gemma":0.0005566125,"threshold_uncertainty_score":0.17092389},"labels":[],"label_agreement":null},{"id":"W169633963","doi":"","title":"Introduction to US4: History, culture, art and religion in the geosciences","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological Modeling 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":"Université Laval","funders":"","keywords":"Sculpture; Painting; Politics; Work (physics); Visual arts; Art history; History; Political science; Art; Engineering; Law","score_opus":0.02208281032143378,"score_gpt":0.22551315018429477,"score_spread":0.203430339862861,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W169633963","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0039210296,0.33505586,0.0054118717,0.18143325,0.078447856,0.00015365885,0.0049955784,0.00045402092,0.39012688],"genre_scores_gemma":[0.05062737,0.2637085,0.007741571,0.06211059,0.06549748,0.00056190084,0.006640878,0.00091907167,0.5421927],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992625,0.00032512206,0.00006977505,0.00006832089,0.00017474558,0.000099431905],"domain_scores_gemma":[0.99884063,0.00055696926,0.000075329015,0.00007239445,0.00026266844,0.00019193937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010042388,0.001154015,0.0006906876,0.0036611906,0.0032256134,0.005280194,0.00087095104,0.0024977422,0.06464171],"category_scores_gemma":[0.002106886,0.0003226044,0.0005652172,0.007069915,0.0029927562,0.004944998,0.0040552374,0.0040133153,0.0137893455],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001997101,0.000018385388,0.00051370007,0.00031926937,0.000003936938,0.000072212184,0.0017604216,0.000071517854,0.00015089705,0.041354448,0.88961464,0.06610066],"study_design_scores_gemma":[0.0000012857198,0.0000056102685,0.00088628667,0.0003044888,0.0000012554607,0.00006186431,0.0010073433,0.000014518024,0.000026375585,0.0056693223,0.99201643,0.0000051026814],"about_ca_topic_score_codex":0.017904922,"about_ca_topic_score_gemma":0.030963281,"teacher_disagreement_score":0.06464171,"about_ca_system_score_codex":0.0029746832,"about_ca_system_score_gemma":0.00247551,"threshold_uncertainty_score":0.2162481},"labels":[],"label_agreement":null},{"id":"W169663823","doi":"","title":"Antarctic Bottom Water in the Scotia Sea","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Oceanography; Nova scotia","score_opus":0.02332412162990397,"score_gpt":0.25154189427423546,"score_spread":0.2282177726443315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W169663823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9861879,0.0025874674,0.00003956047,0.00046297413,0.000108995206,0.000016405626,0.0028767479,0.0000066713365,0.007713253],"genre_scores_gemma":[0.9916346,0.001908066,0.000087271146,0.00018284158,0.000033858505,0.000009968279,0.0011428341,0.0000043612195,0.0049962304],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998777,0.00001854763,0.0000109858365,0.000022878683,0.000029941762,0.00003997285],"domain_scores_gemma":[0.9997671,0.000012887228,0.000049251074,0.000007653014,0.000095057774,0.000067956295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026013138,0.00021600707,0.00018029753,0.0010710837,0.0007946217,0.00083594734,0.00020564102,0.00031003033,0.0017309702],"category_scores_gemma":[0.0003180323,0.00013667239,0.00020630815,0.0021631338,0.00038806407,0.00026579885,0.00070428214,0.00017360736,0.00028739445],"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":[0.0006983346,0.000027974345,0.96712965,0.0002719961,0.00013911027,0.00082794984,0.0017712463,0.00047962932,0.004325784,0.0001609378,0.0038555607,0.020311875],"study_design_scores_gemma":[0.0000039913257,0.0000152255,0.9966221,0.00001900998,0.000010972479,0.000019479394,0.0008065269,0.000043108423,0.00005956904,0.000010497016,0.0023875816,0.0000019751374],"about_ca_topic_score_codex":0.7748451,"about_ca_topic_score_gemma":0.886764,"teacher_disagreement_score":0.7748451,"about_ca_system_score_codex":0.0025539086,"about_ca_system_score_gemma":0.0031370984,"threshold_uncertainty_score":0.45296168},"labels":[],"label_agreement":null},{"id":"W170310209","doi":"","title":"Internal and forced eddy variability in the Labrador Sea","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Oceanographic and Atmospheric Processes","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":"Baroclinity; Eddy; Geology; Buoyancy; Forcing (mathematics); Climatology; Boundary current; Water mass; Vortex; Geophysics; Atmospheric sciences; Ocean current; Mechanics; Oceanography; Turbulence; Physics","score_opus":0.013340564095288061,"score_gpt":0.22505137883862855,"score_spread":0.2117108147433405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W170310209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990625,0.00001288167,0.0001461167,0.00001659226,0.0000016858138,0.0000020820496,0.00014159457,0.00004623652,0.0005703965],"genre_scores_gemma":[0.99948823,0.000009671045,0.000102894395,0.000005442988,0.0000013690844,0.0000038075375,0.000256255,0.0000072414405,0.00012508527],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999193,0.000019545294,0.0000067509636,0.000023821682,0.000011937708,0.00001863743],"domain_scores_gemma":[0.99984133,0.00002612628,0.00004931456,0.00003316913,0.000025428066,0.000024654424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018717763,0.0002323102,0.0002657548,0.0002435575,0.00020520423,0.00081465923,0.00030897956,0.00022912168,0.0005457651],"category_scores_gemma":[0.00043579508,0.000113970564,0.00034144524,0.0002481125,0.0003288986,0.00022790788,0.0003397462,0.0001942876,0.00012954346],"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":[0.000588741,0.00046692725,0.6174295,0.00012153112,0.00043574336,0.0004991165,0.00061184913,0.29462457,0.052839823,0.004335494,0.0019568496,0.026089882],"study_design_scores_gemma":[0.000101863465,0.00018382557,0.6835628,0.000025542433,0.000077889585,0.0000569935,0.00023471197,0.30682048,0.0066024307,0.00064336695,0.0016323315,0.000057710102],"about_ca_topic_score_codex":0.027808331,"about_ca_topic_score_gemma":0.023190027,"teacher_disagreement_score":0.027808331,"about_ca_system_score_codex":0.0010204463,"about_ca_system_score_gemma":0.00027413876,"threshold_uncertainty_score":0.055292964},"labels":[],"label_agreement":null},{"id":"W170851672","doi":"","title":"Tsunami hazard assessment for the Azores archipelago: a historical review","year":2010,"lang":"en","type":"review","venue":"EGU General Assembly Conference Abstracts","topic":"Geological and Geophysical Studies Worldwide","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":"Seismology; Geology; Epicenter; Archipelago; Landslide; Submarine landslide; Rift; Submarine; Geography; Oceanography; Tectonics","score_opus":0.06915877942155298,"score_gpt":0.31686056856921585,"score_spread":0.2477017891476629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W170851672","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00014461107,0.99934655,0.000030786836,0.000066444474,0.00004602777,0.000004765537,0.00003524793,0.0000025483764,0.0003229691],"genre_scores_gemma":[0.00076169777,0.998963,0.000082628845,0.000032803666,0.000041473097,0.0000047202493,0.00003190101,4.6235002e-7,0.00008127693],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998248,0.000026499489,0.000050167724,0.000032148462,0.000054170785,0.00001223861],"domain_scores_gemma":[0.99929094,0.00032128126,0.00015305977,0.0000127322955,0.0001897547,0.000032144504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008475864,0.00097043917,0.0016821248,0.005893471,0.0003058276,0.0010313694,0.0010763987,0.0007037219,0.0035532452],"category_scores_gemma":[0.0013374959,0.00038929275,0.00071595015,0.006459929,0.0003640583,0.0013211714,0.00047084366,0.0006248329,0.00073618157],"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":[0.000103978644,0.00006491247,0.00096175075,0.08087549,0.00025221516,0.00030548667,0.00015259709,0.00049391715,0.00055597804,0.0010482634,0.019014547,0.8961709],"study_design_scores_gemma":[0.000047593378,0.00027605882,0.011526675,0.0521041,0.0017301773,0.0024007245,0.0005231706,0.00027453472,0.0006583077,0.0011381607,0.9292544,0.00006609854],"about_ca_topic_score_codex":0.006040238,"about_ca_topic_score_gemma":0.009559214,"teacher_disagreement_score":0.006040238,"about_ca_system_score_codex":0.00072574604,"about_ca_system_score_gemma":0.0019287016,"threshold_uncertainty_score":0.012010157},"labels":[],"label_agreement":null},{"id":"W176285803","doi":"","title":"Bed morphology response to bedload transport in a small gravel-bed stream","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Hydrology and Sediment Transport Processes","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":"Université de Montréal","funders":"","keywords":"Bed load; Hydrology (agriculture); STREAMS; Fluvial; Sediment transport; Geology; Flood myth; Bedform; Sediment; Suspended load; Hyperconcentrated flow; Geomorphology; Geotechnical engineering; Geography","score_opus":0.019691756331527845,"score_gpt":0.24886440445295663,"score_spread":0.2291726481214288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W176285803","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99971753,0.000009414246,0.00006931301,0.0000025340228,5.5252667e-7,0.0000037896293,0.00004035319,0.0000055305413,0.00015103546],"genre_scores_gemma":[0.9994702,0.00001714722,0.00012454427,0.0000043322225,0.0000010621225,0.000004331446,0.00009130582,0.0000016655696,0.00028533195],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999293,0.0000110286255,0.000005838553,0.000020325993,0.000019805952,0.000013745663],"domain_scores_gemma":[0.99982125,0.000033382476,0.000056907866,0.000008627306,0.000027538694,0.00005238415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008892536,0.00010126677,0.00013040968,0.00045083763,0.00017981546,0.00031005693,0.0000996324,0.00013052126,0.0010484218],"category_scores_gemma":[0.00037447384,0.00008860219,0.00009325854,0.0002683009,0.00021543939,0.00011589105,0.00018333633,0.00009310784,0.0001898649],"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":[0.0005814895,0.00013836677,0.86755186,0.000036639456,0.000031242853,0.00077285705,0.0005638732,0.0014785896,0.11300384,0.000044818324,0.00016522252,0.015631175],"study_design_scores_gemma":[0.0000013546598,0.00011367492,0.99841905,7.67545e-7,0.0000030424815,0.000060996277,0.00008736197,0.00037221189,0.00089487963,0.0000043082136,0.00004084199,0.0000015075271],"about_ca_topic_score_codex":0.004371222,"about_ca_topic_score_gemma":0.00824126,"teacher_disagreement_score":0.004371222,"about_ca_system_score_codex":0.00022350051,"about_ca_system_score_gemma":0.00013518444,"threshold_uncertainty_score":0.008691549},"labels":[],"label_agreement":null},{"id":"W180209144","doi":"","title":"A Sustainable Approach for Acid Rock Drainage Treatment using Clinoptilolite","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Clinoptilolite; Drainage; Acid mine drainage; Geology; Natural resource economics; Environmental science; Chemistry; Zeolite; Economics; Environmental chemistry; Ecology","score_opus":0.032164866979060465,"score_gpt":0.28430288463049885,"score_spread":0.2521380176514384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W180209144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9191771,0.0075101284,0.044881105,0.0023286045,0.00023566568,0.00027469834,0.0003682921,0.00034302237,0.02488132],"genre_scores_gemma":[0.96356845,0.0041014026,0.019900072,0.00017912687,0.00002154305,0.00011084956,0.0001760102,0.00001898555,0.011923465],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99989223,0.00001547236,0.0000065764243,0.0000123916025,0.000053729782,0.00001963414],"domain_scores_gemma":[0.99997354,0.0000027230324,0.0000038881967,0.000002716196,0.000010478116,0.000006592351],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014610562,0.00017903598,0.00013894224,0.00029991585,0.0003559751,0.00055498217,0.00020718084,0.00044524323,0.001104464],"category_scores_gemma":[0.00007408994,0.000113361864,0.00030001107,0.00021528045,0.00018883833,0.00030963484,0.00037216142,0.00030346197,0.00032359222],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001057067,0.00013511984,0.0011341004,0.00023952246,0.000014644401,0.00026299246,0.00004693655,0.002010935,0.95429057,0.0016174713,0.0011504471,0.038991537],"study_design_scores_gemma":[0.00009014903,0.0010070541,0.005599082,0.000037303547,0.000037700996,0.00074764644,0.00028156006,0.0077655525,0.9460648,0.0015932634,0.036741983,0.00003398529],"about_ca_topic_score_codex":0.0015703719,"about_ca_topic_score_gemma":0.00549248,"teacher_disagreement_score":0.0015703719,"about_ca_system_score_codex":0.00050735986,"about_ca_system_score_gemma":0.001037603,"threshold_uncertainty_score":0.0036948323},"labels":[],"label_agreement":null},{"id":"W181515282","doi":"","title":"The deepening of cumulus convection by moisture preconditioning","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Soil, Finite Element Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Moisture; Environmental science; Convection; Meteorology; Atmospheric sciences; Climatology; Geology; Geography","score_opus":0.010289910780775423,"score_gpt":0.2490811437344956,"score_spread":0.23879123295372018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W181515282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80230904,0.001267898,0.17352372,0.0007070233,0.0003452837,0.000052311345,0.00008019448,0.0010119966,0.020702487],"genre_scores_gemma":[0.99363387,0.00012039099,0.004281957,0.00006347059,0.00004327356,0.0000064811156,0.000012618895,0.00007951533,0.0017585438],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999409,0.000017351987,0.0000021617882,0.000009411296,0.000009757096,0.000020425623],"domain_scores_gemma":[0.9998043,0.000071949835,0.000024987974,0.00003835513,0.000023477682,0.00003683613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001833713,0.00033077432,0.00027655944,0.00017334966,0.00021334761,0.0003480195,0.00019122407,0.00025306587,0.0024426675],"category_scores_gemma":[0.0010978956,0.0001562235,0.00018973569,0.000112996866,0.0005105406,0.0005747487,0.0007298715,0.000565725,0.00013087946],"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":[0.0013271546,0.00023411577,0.0036379958,0.00025412772,0.000057472254,0.0004290508,0.00029276952,0.18414904,0.61868083,0.06546415,0.0031302227,0.12234302],"study_design_scores_gemma":[0.00011051489,0.00013988499,0.004179979,0.000017837376,0.000026069718,0.000070921895,0.000039552135,0.9028985,0.07677105,0.013265685,0.0024588103,0.000021087915],"about_ca_topic_score_codex":0.0008454645,"about_ca_topic_score_gemma":0.001038686,"teacher_disagreement_score":0.0024426675,"about_ca_system_score_codex":0.00014670212,"about_ca_system_score_gemma":0.00020980887,"threshold_uncertainty_score":0.008171499},"labels":[],"label_agreement":null},{"id":"W183875233","doi":"","title":"Occurrence of gigantic biogenic magnetite during the Paleocene-Eocene Thermal Maximum","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geomagnetism and Paleomagnetism Studies","field":"Biochemistry, Genetics and Molecular Biology","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":"McGill University","funders":"","keywords":"Marie curie; Library science; Art history; Archaeology; Geology; Geography; History; Computer science","score_opus":0.011162440098074176,"score_gpt":0.2319786277006507,"score_spread":0.2208161876025765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W183875233","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945437,0.0010552261,0.00014480572,0.00013095538,0.000010871517,0.000006444712,0.0012530552,0.00001735303,0.0028376363],"genre_scores_gemma":[0.9984269,0.0002482619,0.00010940273,0.000028819504,0.000014402231,0.0000049671394,0.00062174344,0.0000092355,0.0005363508],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998852,0.000012211438,0.0000065527765,0.000039139297,0.000026413232,0.000030445544],"domain_scores_gemma":[0.99974746,0.000020749656,0.00006911811,0.000008344255,0.00011248804,0.000041854706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002640263,0.0001455776,0.00020401824,0.0009804738,0.00054109795,0.0005694588,0.00029834334,0.00042738838,0.0019901302],"category_scores_gemma":[0.0005320137,0.0001647695,0.0000913898,0.00095636904,0.00044336193,0.00028139242,0.00047905857,0.00023420414,0.0003782737],"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":[0.00075188896,0.00002479819,0.93671876,0.00012346609,0.00008696556,0.00025022076,0.0017468567,0.00030139615,0.03610038,0.00029378018,0.0014273156,0.02217411],"study_design_scores_gemma":[0.000002172043,0.000009008554,0.99898237,0.000006434698,0.0000045282045,0.000033512137,0.00012001032,0.00004834458,0.00022280539,0.00001159698,0.00055743335,0.0000017915435],"about_ca_topic_score_codex":0.12147758,"about_ca_topic_score_gemma":0.27811497,"teacher_disagreement_score":0.12147758,"about_ca_system_score_codex":0.0013496226,"about_ca_system_score_gemma":0.00051997876,"threshold_uncertainty_score":0.24154097},"labels":[],"label_agreement":null},{"id":"W184798011","doi":"","title":"Responses of plant available water and forest productivity to variably layered coarse textured soils","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Plant Water Relations and Carbon 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":"Environmental science; Soil water; Water content; Soil texture; Black spruce; Layering; Biomass (ecology); Hydrology (agriculture); Soil science; Taiga; Agronomy; Geology; Forestry; Geography; Botany","score_opus":0.014305065569895217,"score_gpt":0.21518717157148667,"score_spread":0.20088210600159145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W184798011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997459,0.000008162819,0.00006774088,0.0000034273094,5.0698134e-7,0.0000019842403,0.00005455153,0.0000056066233,0.00011211676],"genre_scores_gemma":[0.9997161,0.000009977067,0.00007030124,0.0000030503788,1.9889355e-7,0.0000015740296,0.000104763036,0.0000012429816,0.00009267975],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992764,0.000009849175,0.0000030379647,0.000019328396,0.000012765304,0.000027500288],"domain_scores_gemma":[0.9998017,0.000076318975,0.000034079392,0.000013787492,0.000030161704,0.000044028897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012063687,0.00024090135,0.00012032174,0.00014986584,0.00013006356,0.0002860918,0.00019950281,0.00019216794,0.0004355309],"category_scores_gemma":[0.00044564938,0.00014120965,0.00018733082,0.00015735583,0.0002474871,0.00011898341,0.0001664476,0.000188129,0.000042944084],"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":[0.0013067058,0.00032723413,0.5068875,0.00007396433,0.00022570619,0.0003724738,0.00020045816,0.30745926,0.17365134,0.00024818472,0.00027276194,0.0089744795],"study_design_scores_gemma":[0.00004471701,0.00025650096,0.8226586,0.0000031887919,0.00003511211,0.00003673396,0.00019445573,0.17013682,0.006316854,0.00010764541,0.00019034666,0.00001898283],"about_ca_topic_score_codex":0.17324512,"about_ca_topic_score_gemma":0.2258832,"teacher_disagreement_score":0.17324512,"about_ca_system_score_codex":0.0014920386,"about_ca_system_score_gemma":0.00051863777,"threshold_uncertainty_score":0.34447348},"labels":[],"label_agreement":null},{"id":"W185107686","doi":"","title":"Analysis of Titan Ontario Lacus' region from Cassini/VIMS observations","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Astro and Planetary Science","field":"Physics and Astronomy","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":"Titan (rocket family); Astrobiology; Geology; Remote sensing; Physics","score_opus":0.04821527123450864,"score_gpt":0.2501928155365576,"score_spread":0.20197754430204895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W185107686","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99032,0.0002627433,0.00027013168,0.00007267209,0.0000057156226,0.00002016421,0.0031919174,0.000059533,0.005797161],"genre_scores_gemma":[0.9922007,0.00015306786,0.001112366,0.000024650431,0.000010268874,0.00001540306,0.0045243367,0.000032841435,0.0019263937],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988127,0.000003967056,0.0000034229486,0.000020179717,0.00005127032,0.000039898343],"domain_scores_gemma":[0.99977404,0.000017025444,0.000046584562,0.000020141273,0.00010662927,0.000035555207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009801497,0.00021756474,0.00014913056,0.0013710924,0.00075797486,0.0006200984,0.00022056262,0.00018829048,0.001263779],"category_scores_gemma":[0.00036004424,0.00011752842,0.00020780759,0.001579588,0.0002522673,0.00013668777,0.0003335302,0.00010689164,0.00021613357],"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":[0.0005402697,0.000062171384,0.8147895,0.00027852843,0.00020624482,0.0017235056,0.0021989883,0.005173656,0.10589293,0.0011074799,0.010994743,0.05703188],"study_design_scores_gemma":[0.0000048187508,0.0000058605865,0.99370605,0.0000054942557,0.000018301544,0.000051265088,0.0001944821,0.0012610339,0.0013087947,0.000023578239,0.003413666,0.000006625631],"about_ca_topic_score_codex":0.6262203,"about_ca_topic_score_gemma":0.79655045,"teacher_disagreement_score":0.6262203,"about_ca_system_score_codex":0.0023972301,"about_ca_system_score_gemma":0.0019757298,"threshold_uncertainty_score":0.75196195},"labels":[],"label_agreement":null},{"id":"W18712087","doi":"","title":"Surface-NMR on a terminal moraine in Yoho National Park (BC, Canada) to assess storage capability","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","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":"University of Calgary","funders":"","keywords":"Terminal (telecommunication); National park; Moraine; Archaeology; Geography; Physical geography; Environmental science; Computer science; Telecommunications","score_opus":0.05864055182129075,"score_gpt":0.2943716134676422,"score_spread":0.23573106164635144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W18712087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97503316,0.00034047934,0.001425525,0.00014061539,0.000028259788,0.000053608383,0.00317664,0.000108962995,0.019692762],"genre_scores_gemma":[0.9581372,0.00026418,0.004760774,0.000077433215,0.000007904162,0.000032030766,0.002861537,0.00004030283,0.033818748],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999347,0.0000018571952,8.0620464e-7,0.000013975495,0.000021017371,0.000027620701],"domain_scores_gemma":[0.99988914,0.000004414111,0.00000887755,0.0000033980384,0.00006876443,0.000025460924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009057296,0.00016726648,0.000115507995,0.0004164328,0.0009480819,0.00023451027,0.00023876969,0.00014941851,0.006376352],"category_scores_gemma":[0.00008900205,0.00009417714,0.00007710198,0.00059780694,0.00015967531,0.000111900794,0.00019906959,0.0002386136,0.0010105853],"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":[0.00063256023,0.000111781264,0.08888736,0.0001264825,0.000034194614,0.0008274,0.0009267028,0.0013666358,0.86191833,0.0006170632,0.007006269,0.037545193],"study_design_scores_gemma":[0.000031436863,0.00015684593,0.8725164,0.000023401451,0.000029770239,0.0003337432,0.0014312438,0.0046466193,0.08222639,0.00009831186,0.038483992,0.000021939248],"about_ca_topic_score_codex":0.67617977,"about_ca_topic_score_gemma":0.8548501,"teacher_disagreement_score":0.32382023,"about_ca_system_score_codex":0.0020910446,"about_ca_system_score_gemma":0.0012976879,"threshold_uncertainty_score":0.65145457},"labels":[],"label_agreement":null},{"id":"W188626011","doi":"","title":"Cloud-to-Ground Lightning in Canada: 1999 - 2008","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Lightning and Electromagnetic Phenomena","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Lightning (connector); Geography; Meteorology; Lightning detection; Lightning strike; Power (physics); Thunderstorm","score_opus":0.00911723738078999,"score_gpt":0.21544801494270902,"score_spread":0.20633077756191903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W188626011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7122645,0.008552916,0.00070642255,0.001979703,0.00022256594,0.00016462414,0.25016677,0.00029583104,0.025646599],"genre_scores_gemma":[0.90196645,0.0061226087,0.00084852905,0.00053150253,0.000060030066,0.000049675207,0.07702253,0.00006337452,0.013335386],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99948007,0.000008400261,0.000036376256,0.0000723242,0.00025998065,0.00014289266],"domain_scores_gemma":[0.99658525,0.000058975867,0.00024462215,0.000039143426,0.0027456437,0.00032640324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035609878,0.00044860397,0.0004086761,0.0028880385,0.0020711008,0.0016877892,0.00086919346,0.0004011084,0.0022760741],"category_scores_gemma":[0.001266155,0.00020755928,0.00035839324,0.0080920765,0.00038300906,0.00054641993,0.0007467644,0.0006104518,0.0004916771],"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":[0.00046405205,0.00008527677,0.8611562,0.00081469544,0.00017055395,0.0007451384,0.0026369323,0.0011938472,0.0014616008,0.000734132,0.06272937,0.0678082],"study_design_scores_gemma":[0.0000104537985,0.000016886586,0.96747017,0.00013495934,0.00004836457,0.00014910144,0.0014843737,0.0006352931,0.00036564044,0.000037720536,0.029621067,0.000026005697],"about_ca_topic_score_codex":0.9971397,"about_ca_topic_score_gemma":0.9984877,"teacher_disagreement_score":0.034507506,"about_ca_system_score_codex":0.034507506,"about_ca_system_score_gemma":0.038526643,"threshold_uncertainty_score":0.25037062},"labels":[],"label_agreement":null},{"id":"W189438460","doi":"","title":"Using the Canadian Forest Fire Weather Index (FWI) System to assess the performance of fire management in Portugal","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Meteorology; Index (typography); Environmental science; Climatology; Geography; Forestry; Computer science; Geology","score_opus":0.028749487823351648,"score_gpt":0.2518998288502383,"score_spread":0.22315034102688666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W189438460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9816829,0.00026030454,0.0006051344,0.00014516772,0.000031086423,0.00004038527,0.0030123459,0.000031041276,0.014191626],"genre_scores_gemma":[0.9961843,0.00015728368,0.0008154134,0.000019954163,0.0000070549777,0.000016526954,0.0015172113,0.000014500717,0.0012677658],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99937844,0.000119835415,0.000044662578,0.000101927675,0.00024489267,0.00011014264],"domain_scores_gemma":[0.99877137,0.00016351043,0.00020960563,0.00006450236,0.00063524366,0.0001558645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011156481,0.00029156153,0.00034357127,0.0013806334,0.0008387507,0.0010977455,0.00050402933,0.00033593236,0.0007648249],"category_scores_gemma":[0.00330959,0.00017055521,0.0003630309,0.0021433553,0.0002908793,0.00029819092,0.0005016943,0.0002477631,0.00018384855],"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":[0.00030952535,0.000078274745,0.9645422,0.00006973981,0.000131663,0.0001075378,0.00096523867,0.003640265,0.0008824893,0.00047066296,0.0024436738,0.026358647],"study_design_scores_gemma":[0.0000068372105,0.00001683137,0.9931937,0.000025945992,0.000019931196,0.00003216595,0.00094197295,0.0034975836,0.00035116394,0.00005695902,0.0018446366,0.000012279007],"about_ca_topic_score_codex":0.8758731,"about_ca_topic_score_gemma":0.9477872,"teacher_disagreement_score":0.8758731,"about_ca_system_score_codex":0.0066015725,"about_ca_system_score_gemma":0.0042630374,"threshold_uncertainty_score":0.2497158},"labels":[],"label_agreement":null},{"id":"W192849786","doi":"","title":"A new calibrated deglacial ice and meltwater drainage model for Eurasia","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Meltwater; Geology; Climatology; Post-glacial rebound; Ice sheet; Oceanography; Geomorphology; Glacial period","score_opus":0.0559797166754505,"score_gpt":0.26711464665132895,"score_spread":0.21113492997587846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W192849786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85658455,0.00027362694,0.115062796,0.00074042066,0.00025377894,0.0000975298,0.010945662,0.0023537907,0.01368778],"genre_scores_gemma":[0.9635268,0.00013477328,0.027849648,0.000099530655,0.0000325307,0.000081142025,0.0043204282,0.00032427264,0.0036309748],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998708,0.000025661468,0.000011654634,0.00006304638,0.000015342464,0.000013476862],"domain_scores_gemma":[0.9997372,0.0000568759,0.000025776695,0.000039025905,0.000108350214,0.00003282439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004734983,0.0004212007,0.0006085044,0.00033455883,0.0003280215,0.00082032004,0.0014858277,0.00086933386,0.0034513187],"category_scores_gemma":[0.0012022628,0.0004937325,0.0006529055,0.0005428039,0.00036133523,0.00097365276,0.0004240149,0.0006416071,0.00040383844],"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":[0.000044102297,0.000026191217,0.0036794506,0.000013617143,0.000062268744,0.00004073699,0.00003057879,0.98864067,0.0010565278,0.000948196,0.0007858441,0.004671838],"study_design_scores_gemma":[0.00008441774,0.000011397211,0.0018199132,0.0000051081356,0.000023750972,0.000014016764,0.000008512492,0.9949614,0.00037262845,0.0007663125,0.0019209075,0.000011584046],"about_ca_topic_score_codex":0.08213738,"about_ca_topic_score_gemma":0.05163775,"teacher_disagreement_score":0.08213738,"about_ca_system_score_codex":0.0014742925,"about_ca_system_score_gemma":0.0019740872,"threshold_uncertainty_score":0.16331857},"labels":[],"label_agreement":null},{"id":"W195105759","doi":"","title":"Characteristics of discontinuous permafrost, Southern Yukon Territory, Canada","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Permafrost; Geology; Physical geography; Earth science; Geography; Oceanography","score_opus":0.021988295732242487,"score_gpt":0.21955165890551812,"score_spread":0.19756336317327564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W195105759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932468,0.000257081,0.00007169229,0.000028867327,0.0000023330958,0.00001771879,0.0034308962,0.000012900053,0.0029315506],"genre_scores_gemma":[0.99717355,0.000105601386,0.00012645258,0.000010577218,9.2237093e-7,0.000011733567,0.0016736421,0.0000052340356,0.0008922435],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997813,0.000009673659,0.000022431612,0.000045793837,0.000072389135,0.000068517176],"domain_scores_gemma":[0.99903893,0.00006348278,0.0001295854,0.000030310603,0.000567293,0.00017044373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001810419,0.00020033965,0.00031966894,0.0022847697,0.0018996448,0.0011321332,0.00083512446,0.00025253513,0.0014595607],"category_scores_gemma":[0.0007358802,0.00016272633,0.00021945355,0.0051500965,0.0007244594,0.00029957262,0.00051628804,0.00015464771,0.00022992854],"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":[0.00007441972,0.000011756114,0.9907856,0.00004571017,0.000048425463,0.00014482868,0.001125234,0.00036379695,0.0011880713,0.00014509744,0.00050640793,0.0055606174],"study_design_scores_gemma":[0.0000014620913,0.0000031232894,0.9983463,0.0000071610443,0.000005209512,0.000038169095,0.0008573518,0.00012383712,0.000054127628,0.000008108694,0.0005524602,0.0000026856017],"about_ca_topic_score_codex":0.9786709,"about_ca_topic_score_gemma":0.99341667,"teacher_disagreement_score":0.021329105,"about_ca_system_score_codex":0.008612355,"about_ca_system_score_gemma":0.011599539,"threshold_uncertainty_score":0.062487245},"labels":[],"label_agreement":null},{"id":"W197204578","doi":"","title":"Impacts of Organic Farming on Soil Aggregate Stability","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Organic farming; Environmental science; Agriculture; Aggregate (composite); Agricultural economics; Business; Natural resource economics; Economics; Geography","score_opus":0.02758401139076503,"score_gpt":0.24097596870274376,"score_spread":0.21339195731197874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W197204578","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985317,0.0000860266,0.00003839928,0.00006349256,0.000006024707,0.000002750859,0.00009459101,0.0000029597984,0.0011740525],"genre_scores_gemma":[0.9992495,0.00010215322,0.00003640232,0.000024357041,0.00000525204,0.0000022865736,0.00006698509,0.0000017562459,0.00051123765],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996915,0.000043664448,0.000011022974,0.000041360265,0.000048542406,0.00016409271],"domain_scores_gemma":[0.9990465,0.00025452537,0.00021133761,0.000040764353,0.0001870033,0.00025985995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041486113,0.00032112535,0.00018476025,0.00047823705,0.0005274819,0.000940575,0.0002747521,0.0004237351,0.0044137496],"category_scores_gemma":[0.0008856648,0.000096787764,0.00029851575,0.00065626245,0.0006199453,0.00063500117,0.0007328535,0.00020488826,0.00027185533],"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":[0.012955433,0.0016180805,0.47275844,0.0005199906,0.00057755795,0.002781905,0.00075816974,0.022272758,0.37687472,0.003095503,0.002332229,0.103455245],"study_design_scores_gemma":[0.00010808666,0.0014012186,0.97091395,0.000017367596,0.0001608086,0.00014320438,0.0013897801,0.004166663,0.017751511,0.0015838436,0.0023386339,0.000024865358],"about_ca_topic_score_codex":0.020582618,"about_ca_topic_score_gemma":0.03815857,"teacher_disagreement_score":0.020582618,"about_ca_system_score_codex":0.0020161315,"about_ca_system_score_gemma":0.0011266496,"threshold_uncertainty_score":0.040925622},"labels":[],"label_agreement":null},{"id":"W20056474","doi":"10.1016/j.clae.2009.12.011","title":"Error structure in simulated and measured snow cover information","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Cryospheric studies and observations","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":"Snow; Terrain; Snow cover; Heteroscedasticity; Elevation (ballistics); Dependency (UML); Statistics; Cover (algebra); Scaling; Index (typography); Observational error; Variable (mathematics); Mathematics; Remote sensing; Environmental science; Meteorology; Computer science; Geography; Cartography; Artificial intelligence; Geometry; Engineering; Mathematical analysis","score_opus":0.024821405079286873,"score_gpt":0.2334285660974232,"score_spread":0.20860716101813634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W20056474","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9659,0.0005048892,0.022763519,0.0005125393,0.000119431366,0.00013109717,0.007076045,0.00045416542,0.0025383597],"genre_scores_gemma":[0.9905556,0.00006026155,0.0018308271,0.000033893797,0.000017237058,0.00002851877,0.0068511833,0.000035808953,0.00058674446],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9904633,0.003453601,0.0009431783,0.002993251,0.0014810588,0.00066556537],"domain_scores_gemma":[0.8653268,0.09902559,0.010937059,0.00982262,0.01405081,0.0008370808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019600023,0.000580363,0.0007933306,0.0024412735,0.0005689264,0.0016918653,0.0012109875,0.0013010975,0.0016659161],"category_scores_gemma":[0.09393341,0.0005531613,0.0010394433,0.0024383536,0.001110625,0.0019108234,0.0013202388,0.0010815304,0.00060650933],"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":[0.00082805654,0.00018867104,0.5491516,0.00011747553,0.00048518358,0.00022322233,0.00035420468,0.42399,0.00082353206,0.004158882,0.0026973493,0.016981885],"study_design_scores_gemma":[0.00005955894,0.0001394509,0.2659886,0.000061795334,0.00007816871,0.00016725987,0.000202195,0.72611684,0.0012229101,0.0042379587,0.0016688145,0.0000564209],"about_ca_topic_score_codex":0.036978107,"about_ca_topic_score_gemma":0.028558744,"teacher_disagreement_score":0.036978107,"about_ca_system_score_codex":0.002524782,"about_ca_system_score_gemma":0.0011525052,"threshold_uncertainty_score":0.10365605},"labels":[],"label_agreement":null},{"id":"W201820236","doi":"","title":"Labrador Sea Water production and the strength of the Subpolar Gyre","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ocean gyre; Oceanography; Environmental science; Production (economics); Geology; Fishery; Economics; Subtropics","score_opus":0.019620624892432412,"score_gpt":0.20299766688017915,"score_spread":0.18337704198774674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W201820236","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994395,0.0005385145,0.00005542659,0.00037031475,0.000008719173,0.0000018954526,0.00069770025,0.000012288034,0.0039202003],"genre_scores_gemma":[0.9989648,0.00021404121,0.000028775226,0.000021610655,0.0000122701485,9.057752e-7,0.00026067888,0.000004279255,0.0004926001],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998791,0.000033033248,0.0000101057885,0.000024515382,0.000016490994,0.000036781137],"domain_scores_gemma":[0.99898773,0.00025425226,0.00035409097,0.00007101794,0.00015389739,0.0001791104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004230933,0.0002987156,0.00026314773,0.0010961953,0.00033741182,0.0014332428,0.00024374638,0.00022419565,0.0027074611],"category_scores_gemma":[0.0020489313,0.0002055001,0.00022384836,0.0009768974,0.0006837281,0.00061998784,0.0005853605,0.00028029966,0.00053165405],"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":[0.0003078827,0.000015202155,0.98863155,0.000023811248,0.000110665394,0.00013693233,0.00022070805,0.0016781028,0.0014987522,0.00083166,0.00050225784,0.0060424716],"study_design_scores_gemma":[0.000006859503,0.000014972491,0.9977309,0.00000794013,0.000025766632,0.00002229857,0.00022688211,0.0006424744,0.00022258169,0.00021896709,0.0008752822,0.0000049857754],"about_ca_topic_score_codex":0.0807902,"about_ca_topic_score_gemma":0.14513966,"teacher_disagreement_score":0.0807902,"about_ca_system_score_codex":0.0014183836,"about_ca_system_score_gemma":0.00049286283,"threshold_uncertainty_score":0.16063988},"labels":[],"label_agreement":null},{"id":"W202257944","doi":"","title":"The Meltwater routing and Ocean-Cryosphere-Atmosphere response (MOCA) project","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","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":"Memorial University of Newfoundland","funders":"","keywords":"Meltwater; Cryosphere; Deglaciation; Climatology; Iceberg; Westerlies; Glacial period; Geology; Oceanography; Environmental science; Sea ice; Geomorphology","score_opus":0.024250495408564138,"score_gpt":0.26601421742010134,"score_spread":0.2417637220115372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W202257944","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":[0.21265014,0.0032678584,0.4536709,0.029937435,0.0032718438,0.0018383719,0.14728636,0.03407425,0.11400291],"genre_scores_gemma":[0.52114785,0.002007856,0.30463713,0.0021828169,0.0006792542,0.0011392172,0.119135335,0.0027258275,0.046344753],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913967,0.00038686238,0.000019504127,0.00015127083,0.00021787174,0.00008473588],"domain_scores_gemma":[0.998292,0.00053599157,0.00012424096,0.00033430636,0.0003772317,0.00033613335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026467345,0.00069216726,0.000514252,0.0005569519,0.0005602177,0.0013647641,0.001238313,0.00079010415,0.009935809],"category_scores_gemma":[0.00507795,0.00025098427,0.0004698784,0.0010938753,0.0003807596,0.001891077,0.0015630174,0.00111376,0.0010404955],"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":[0.0011272173,0.0005248631,0.025223989,0.00016761222,0.000328478,0.00006894567,0.00025824303,0.17492595,0.0052079125,0.06498486,0.30675316,0.42042884],"study_design_scores_gemma":[0.0006955046,0.00033864146,0.013716519,0.0000560943,0.000119142314,0.000030172312,0.00016192957,0.6831402,0.007807946,0.033310454,0.2605488,0.00007461802],"about_ca_topic_score_codex":0.049522284,"about_ca_topic_score_gemma":0.040927965,"teacher_disagreement_score":0.049522284,"about_ca_system_score_codex":0.0015579062,"about_ca_system_score_gemma":0.005107968,"threshold_uncertainty_score":0.098468065},"labels":[],"label_agreement":null},{"id":"W206202523","doi":"","title":"Davis Strait Transport and Freshwater Fluxes, 2004-2009","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological Studies and Exploration","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":"Oceanography; Archipelago; Throughflow; Arctic; Bay; Geology","score_opus":0.020900833891814834,"score_gpt":0.21243857699604435,"score_spread":0.19153774310422952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W206202523","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5465819,0.0025938184,0.00059077947,0.0019076426,0.00025702678,0.000058258953,0.39648086,0.0003250431,0.05120457],"genre_scores_gemma":[0.8435852,0.0015916507,0.0010341677,0.00019208102,0.000048730522,0.000041189025,0.11579018,0.00007519755,0.037641533],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99986863,0.0000059551076,0.000011980828,0.00003096996,0.00006248562,0.000019946854],"domain_scores_gemma":[0.99963915,0.00001414006,0.00006681562,0.0000151336835,0.00023858668,0.0000261349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010535862,0.00031042282,0.00011804644,0.0013084698,0.00046214674,0.0011463156,0.00033976272,0.00021813202,0.0036696277],"category_scores_gemma":[0.0005557413,0.00015293625,0.00020403655,0.0022338447,0.00014804909,0.0004236797,0.00036861966,0.00028171804,0.001195663],"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":[0.0003085956,0.000066101245,0.8111542,0.00025319803,0.0002547542,0.00038297736,0.00065211416,0.006117175,0.0013684316,0.002943765,0.13613383,0.04036474],"study_design_scores_gemma":[0.000013919203,0.000017813394,0.8661004,0.000059267382,0.0000510738,0.00009161434,0.00058195787,0.0022301686,0.0011018025,0.00016628766,0.12956451,0.000021233202],"about_ca_topic_score_codex":0.7921214,"about_ca_topic_score_gemma":0.88513315,"teacher_disagreement_score":0.7921214,"about_ca_system_score_codex":0.005767411,"about_ca_system_score_gemma":0.003237234,"threshold_uncertainty_score":0.41820562},"labels":[],"label_agreement":null},{"id":"W207397285","doi":"","title":"Model study of the Labrador Sea variability at interannual and decadal time scales","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Climatology; Geology; Oceanography; Environmental science; Physical geography; Geography","score_opus":0.014329554671606308,"score_gpt":0.22167496587430585,"score_spread":0.20734541120269953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W207397285","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.988886,0.00014887097,0.0024995033,0.0004629147,0.000039833347,0.000014082613,0.0024148584,0.00026427384,0.0052696983],"genre_scores_gemma":[0.99573886,0.000094623494,0.0008924752,0.000055670334,0.000016173464,0.000026219548,0.0012859624,0.00006703651,0.001822961],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999912,0.000026834608,0.0000047154604,0.00002476289,0.0000075577746,0.000024138446],"domain_scores_gemma":[0.9996475,0.00014807259,0.000048627848,0.000044824566,0.00006183897,0.000049151437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039352078,0.0005932316,0.0007296956,0.00042079296,0.0005082638,0.0008545406,0.0013063854,0.0008795329,0.0023856848],"category_scores_gemma":[0.001088623,0.0003263076,0.00080039963,0.000646686,0.0004535675,0.0007714248,0.00050086813,0.00070381147,0.00030201708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001585123,0.00006864489,0.010341393,0.000017903947,0.00013841929,0.000047101348,0.000027232858,0.9843615,0.00066435174,0.0016153143,0.0010907745,0.0014687742],"study_design_scores_gemma":[0.00010022037,0.00003907764,0.0062625734,0.0000033246604,0.00005490314,0.000011031945,0.0000330528,0.9921266,0.0002903811,0.00057776057,0.00048410444,0.000016922302],"about_ca_topic_score_codex":0.13864623,"about_ca_topic_score_gemma":0.06910206,"teacher_disagreement_score":0.86135375,"about_ca_system_score_codex":0.001572147,"about_ca_system_score_gemma":0.001365201,"threshold_uncertainty_score":0.27567846},"labels":[],"label_agreement":null},{"id":"W2111846031","doi":"","title":"The sea level fingerprint of 21st Century ice mass loss","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geophysics and Gravity Measurements","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":"Geology; Oceanography; Sea ice; Ice sheet; Arctic ice pack; Latitude; Climatology; Physical geography; Geography; Geodesy","score_opus":0.03638232037133735,"score_gpt":0.23641450864017227,"score_spread":0.20003218826883493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111846031","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99757785,0.000040910567,0.00017792311,0.000029077713,0.000003180825,0.0000012830141,0.0007377318,0.00002548751,0.001406525],"genre_scores_gemma":[0.99814117,0.000033001914,0.00012508442,0.000005554291,0.0000043775235,0.0000010228982,0.00146472,0.0000075634007,0.00021749508],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999248,0.0000066095613,0.000005371895,0.000019123849,0.000021599391,0.000022599404],"domain_scores_gemma":[0.99965346,0.000046486508,0.000121155004,0.00003461338,0.00010153316,0.000042759508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016369976,0.00012465242,0.0001014361,0.00093444344,0.00010499905,0.00040135646,0.00009773255,0.0001663819,0.00089049654],"category_scores_gemma":[0.0009178511,0.00007729272,0.00016260658,0.0008664907,0.000107380896,0.0002536502,0.0002561881,0.00016904043,0.0002602631],"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":[0.00014318313,0.000026577129,0.9693581,0.000015218461,0.00005090009,0.00008058846,0.00010717859,0.0082565835,0.003069819,0.00040439324,0.0008353579,0.017652117],"study_design_scores_gemma":[0.0000027986418,0.000019789826,0.9928226,0.0000027378553,0.00000477911,0.00005136621,0.0000353466,0.0055162692,0.0005802943,0.00006709999,0.000893029,0.000003960019],"about_ca_topic_score_codex":0.0067519443,"about_ca_topic_score_gemma":0.008003066,"teacher_disagreement_score":0.0067519443,"about_ca_system_score_codex":0.00024088298,"about_ca_system_score_gemma":0.00011798151,"threshold_uncertainty_score":0.013425291},"labels":[],"label_agreement":null},{"id":"W2171330841","doi":"","title":"Impact of land use activities on fine sediment-associated contaminants, Quesnel River Basin, British Columbia, Canada","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Sediment; Environmental science; Hydrology (agriculture); Nutrient; Structural basin; Water quality; Drainage basin; Agriculture; Forestry; Geography; Ecology; Geology; Archaeology","score_opus":0.012614693482778595,"score_gpt":0.22749993780412703,"score_spread":0.21488524432134842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171330841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98691213,0.0014856228,0.0000828045,0.00038658036,0.00001433724,0.000054503806,0.003280826,0.000019487008,0.007763764],"genre_scores_gemma":[0.99053615,0.0011247039,0.00038551152,0.00014271268,0.0000029015955,0.000027514741,0.0014337192,0.000008466683,0.006338206],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995741,0.000038363523,0.000025718278,0.00008820763,0.0001587268,0.00011486015],"domain_scores_gemma":[0.9987783,0.00007764698,0.00013517114,0.000022399832,0.0007174591,0.00026910694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023229049,0.00032987242,0.00026633946,0.0013541527,0.0029575625,0.0015896949,0.0005885501,0.00028988128,0.0025878486],"category_scores_gemma":[0.00074267376,0.0002446136,0.00021462831,0.0027837418,0.00095476577,0.00028777035,0.0006589238,0.0003581791,0.00022810831],"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":[0.00021028356,0.00008096321,0.95739776,0.0002364178,0.00013409003,0.00068030297,0.0022429284,0.0006941638,0.0045322273,0.00025074786,0.004900132,0.028640082],"study_design_scores_gemma":[0.0000034635739,0.00000978231,0.9951597,0.000035529894,0.000012585544,0.000043282227,0.0017303929,0.00012697066,0.00013261904,0.000015502925,0.0027207106,0.00000946081],"about_ca_topic_score_codex":0.9963289,"about_ca_topic_score_gemma":0.99935204,"teacher_disagreement_score":0.020811995,"about_ca_system_score_codex":0.020811995,"about_ca_system_score_gemma":0.021475522,"threshold_uncertainty_score":0.15100229},"labels":[],"label_agreement":null},{"id":"W2181543118","doi":"","title":"Obtaining a Pragmatic Representation of Fire Disturbance in Dynamic Vegetation Models by Assimilating Earth Observation Data","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Fire effects on ecosystems","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":"Biosphere; Biome; Vegetation (pathology); Disturbance (geology); Computer science; Atmosphere (unit); Environmental science; Earth system science; Meteorology; Ecosystem; Ecology; Geography; Geology","score_opus":0.06715976946631373,"score_gpt":0.29215747142421994,"score_spread":0.2249977019579062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2181543118","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":[0.19449131,0.00010900152,0.79648274,0.00031450167,0.00004399375,0.00006040787,0.0005902333,0.00036820132,0.0075395973],"genre_scores_gemma":[0.8080675,0.00015870106,0.18950477,0.0000706897,0.000025831323,0.000113288916,0.0004067089,0.00011063904,0.0015418691],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999281,0.000027899448,0.000007032738,0.0000147739665,0.000014639953,0.0000075652447],"domain_scores_gemma":[0.9997447,0.00013642151,0.000036505004,0.000045753222,0.000021703316,0.000014960364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002843441,0.0002922464,0.00022717915,0.00023379273,0.0001983171,0.00076278334,0.00059551746,0.0005804064,0.00079372077],"category_scores_gemma":[0.0017578211,0.0003026789,0.00045479453,0.00024707027,0.00033551452,0.00065374357,0.0007124973,0.000631229,0.000104885185],"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":[0.000017728498,0.000026397101,0.0027100195,0.000029682938,0.000022616825,0.00004550852,0.00006113279,0.97285146,0.0019897616,0.012337157,0.0002447808,0.0096638305],"study_design_scores_gemma":[0.000005803801,0.00000691906,0.00058237417,0.0000043532636,0.000004560041,0.000007752949,0.000020137466,0.99461657,0.00036535616,0.0037163193,0.00066483376,0.0000050361045],"about_ca_topic_score_codex":0.009854652,"about_ca_topic_score_gemma":0.015156765,"teacher_disagreement_score":0.009854652,"about_ca_system_score_codex":0.00044452187,"about_ca_system_score_gemma":0.0005005842,"threshold_uncertainty_score":0.01959455},"labels":[],"label_agreement":null},{"id":"W2181840190","doi":"","title":"Prestack depth migration of bistatic georadar data","year":2012,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","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":"Geology; Prestack; Image (mathematics); Computer science; Algorithm; Seismology; Artificial intelligence","score_opus":0.07288523678259515,"score_gpt":0.2810591370348006,"score_spread":0.20817390025220547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2181840190","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98137134,0.00009463414,0.013961532,0.00013934879,0.000036865666,0.00004271845,0.0011154837,0.0008941858,0.0023438106],"genre_scores_gemma":[0.96856534,0.000049601742,0.029161962,0.000028537612,0.0000043514137,0.000013322172,0.0014185038,0.00007548216,0.0006828958],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984574,0.000028302273,0.000011055208,0.0000309531,0.000052705043,0.000031155254],"domain_scores_gemma":[0.99962056,0.00008424361,0.00004317549,0.00010641999,0.00012083301,0.000024794233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053326745,0.00030647058,0.00019106605,0.00059756485,0.0002578478,0.00027994422,0.0003431467,0.00023979064,0.0013702236],"category_scores_gemma":[0.0016808994,0.00014848524,0.00019705552,0.00086875417,0.0001874316,0.0004924217,0.00030427575,0.00028779916,0.00029001426],"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":[0.0012725005,0.00036992657,0.059724733,0.00038383645,0.00015659077,0.00047561066,0.0007241202,0.3647563,0.116319194,0.002342648,0.0042577237,0.44921684],"study_design_scores_gemma":[0.00021863847,0.00047205552,0.18168448,0.000045039193,0.000068731795,0.0003943679,0.00049663364,0.7445472,0.065771535,0.0013278829,0.004877286,0.000096056116],"about_ca_topic_score_codex":0.008697,"about_ca_topic_score_gemma":0.019448025,"teacher_disagreement_score":0.008697,"about_ca_system_score_codex":0.00033142045,"about_ca_system_score_gemma":0.00040495893,"threshold_uncertainty_score":0.017292738},"labels":[],"label_agreement":null},{"id":"W2181867859","doi":"","title":"The Lu-Hf isotope system in the Acasta gneiss complex (NWT, Canada)","year":2013,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological and Geochemical Analysis","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":"Geology; Hadean; Archean; Geochemistry; Gneiss; Zircon; Felsic; Metamorphic rock; Mafic; Isochron; Crustal recycling; Outcrop; Crust; Continental crust","score_opus":0.025399341692448462,"score_gpt":0.20329493705359616,"score_spread":0.1778955953611477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2181867859","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952378,0.0003392472,0.00009873928,0.000032363772,0.0000024902602,0.0000066287093,0.0010042039,0.0000132053865,0.0032653771],"genre_scores_gemma":[0.9960645,0.0002069244,0.00025001442,0.00001891358,0.0000013290011,0.0000031988432,0.00075999444,0.0000099880135,0.0026851897],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99985313,0.0000032220441,0.0000045637616,0.000033061577,0.000056285888,0.00004982527],"domain_scores_gemma":[0.99981505,0.0000053310205,0.000019919818,0.000004829708,0.00012250642,0.00003236619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008864732,0.00018931572,0.00017805572,0.001756595,0.0017066784,0.00083794584,0.00043084883,0.00020668382,0.0012443098],"category_scores_gemma":[0.00022525327,0.00014069259,0.00012247787,0.0018064745,0.00062323,0.0001712365,0.00044571568,0.00018281143,0.00022678655],"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":[0.0001967072,0.000029587354,0.9202766,0.00006314956,0.00007369305,0.0005748341,0.0026443694,0.0005599612,0.042853225,0.00069062406,0.001005443,0.031031866],"study_design_scores_gemma":[0.0000020236662,0.000010309489,0.99561125,0.000007134469,0.000009511134,0.00011845204,0.0006559938,0.0002760124,0.0011590236,0.000027367218,0.0021174094,0.0000055135056],"about_ca_topic_score_codex":0.9834148,"about_ca_topic_score_gemma":0.99444336,"teacher_disagreement_score":0.016585171,"about_ca_system_score_codex":0.010068991,"about_ca_system_score_gemma":0.0062593464,"threshold_uncertainty_score":0.07305604},"labels":[],"label_agreement":null},{"id":"W2182956653","doi":"","title":"Integrating proximal soil sensing techniques and terrain indexes to generate 3D maps of soil restrictive layers in the Palouse region, Washington, USA","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Soil Geostatistics and Mapping","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":"Penetrometer; Terrain; Soil science; Kriging; Digital soil mapping; Infiltration (HVAC); Soil water; Hydrology (agriculture); Bulk density; Geology; Soil map; Grid; Spatial variability; Soil horizon; Environmental science; Remote sensing; Cartography; Geotechnical engineering; Geography; Mathematics; Geodesy","score_opus":0.03428339046930426,"score_gpt":0.2619805812231601,"score_spread":0.22769719075385583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2182956653","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98568857,0.00006126392,0.009582975,0.00003101429,0.000003735046,0.000054865584,0.0012090412,0.00025480785,0.0031137546],"genre_scores_gemma":[0.9774106,0.00008892534,0.019760665,0.000012626063,0.0000022326574,0.000054567612,0.0015902672,0.000025904848,0.0010541878],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99995756,0.0000051146008,0.0000021957173,0.000015035228,0.000013083042,0.000007062654],"domain_scores_gemma":[0.9999341,0.000010815611,0.000009215148,0.000009392233,0.00002842667,0.00000819109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011610907,0.00021384167,0.00008031347,0.00093410775,0.00016433316,0.00044427914,0.00018927836,0.00011895165,0.00067747757],"category_scores_gemma":[0.00022073956,0.00016078373,0.00014462485,0.0010144734,0.0001106785,0.00018844621,0.00032648808,0.00013639197,0.0001678266],"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":[0.00027698453,0.00025594572,0.5936871,0.00015653865,0.0001548949,0.00057323085,0.0014706603,0.0438985,0.054651905,0.0009909761,0.0027984597,0.30108488],"study_design_scores_gemma":[0.00004415041,0.000095515345,0.86134887,0.000058136102,0.0000635983,0.0001319947,0.0015356424,0.12331123,0.0068540177,0.00047532847,0.006044086,0.000037435428],"about_ca_topic_score_codex":0.070033975,"about_ca_topic_score_gemma":0.21160336,"teacher_disagreement_score":0.070033975,"about_ca_system_score_codex":0.0002707431,"about_ca_system_score_gemma":0.00044956178,"threshold_uncertainty_score":0.13925266},"labels":[],"label_agreement":null},{"id":"W2183112920","doi":"","title":"Numerical modeling of subglacial erosion and sediment transport beneath the Laurentide Ice Sheet","year":2012,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Cryospheric studies and observations","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":"Memorial University of Newfoundland","funders":"","keywords":"Geology; Geomorphology; Ice sheet; Erosion; Deglaciation; Sediment transport; Debris; Sediment; Glacial period; Oceanography","score_opus":0.038144380799045106,"score_gpt":0.23817986792695744,"score_spread":0.20003548712791233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2183112920","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9683284,0.00018087163,0.017470663,0.00029888056,0.00003249078,0.00004185564,0.0006591807,0.00022500353,0.012762694],"genre_scores_gemma":[0.99057215,0.00012833533,0.0060294727,0.000029654848,0.000017859626,0.00004075928,0.00030278708,0.000028182394,0.0028508196],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999941,0.000011512645,0.0000038649714,0.0000129290365,0.000014466433,0.000016333379],"domain_scores_gemma":[0.99987066,0.00003820587,0.000033237393,0.000009295012,0.000022967366,0.000025521083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014158162,0.0003911546,0.0003681777,0.0004071644,0.0004993463,0.00082837464,0.0007730872,0.00067370204,0.0011029295],"category_scores_gemma":[0.00044419762,0.0002513085,0.00038749794,0.00036265593,0.00047943296,0.0003481763,0.0004241665,0.000345654,0.0001297571],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015096357,0.000018795032,0.0027494188,0.0000067638503,0.0000074743652,0.00005087903,0.000024045861,0.9943399,0.0007259183,0.0010288487,0.00010426007,0.00092861993],"study_design_scores_gemma":[0.0000057653,0.000005953145,0.00076239725,0.0000017086948,0.0000020257646,0.0000055110495,0.00000959157,0.9987902,0.00009702028,0.00017197953,0.00014550598,0.0000023945563],"about_ca_topic_score_codex":0.07210306,"about_ca_topic_score_gemma":0.05119807,"teacher_disagreement_score":0.9278969,"about_ca_system_score_codex":0.0017728076,"about_ca_system_score_gemma":0.0013614317,"threshold_uncertainty_score":0.14336675},"labels":[],"label_agreement":null},{"id":"W2183656168","doi":"","title":"Effects of Long-Term History on Borehole Paleoclimatology","year":2011,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Cryospheric studies and observations","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":"St. Francis Xavier University","funders":"","keywords":"Geology; Borehole; Geothermal gradient; Context (archaeology); Climatology; Ice sheet; Geophysics; Glacial period; Geomorphology; Paleontology","score_opus":0.0491176732496924,"score_gpt":0.22542485891082933,"score_spread":0.17630718566113693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2183656168","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965622,0.0003279264,0.0014539245,0.00013061089,0.000023158333,0.0000048811844,0.00063702645,0.00006512984,0.00079512544],"genre_scores_gemma":[0.9989254,0.00006276185,0.00031716272,0.000020360889,0.000007750412,0.0000039288116,0.00050511165,0.000024090952,0.00013350532],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999278,0.00018639701,0.00009268739,0.0002093303,0.00010425616,0.00012938537],"domain_scores_gemma":[0.99596536,0.002144744,0.00063358527,0.0006025578,0.00034920144,0.0003045541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025177367,0.0003825721,0.00036604985,0.0006900751,0.0005884683,0.0012090983,0.0008021359,0.0006759843,0.0018966455],"category_scores_gemma":[0.008303126,0.0003655928,0.0005962052,0.0010643733,0.00088285154,0.001638186,0.0009496391,0.00047904096,0.0001311438],"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":[0.0003897322,0.00008441388,0.93724686,0.0000788657,0.00026746464,0.0003319594,0.0002473457,0.036223978,0.0118189845,0.000701235,0.00044504844,0.0121641],"study_design_scores_gemma":[0.000017537346,0.000060215596,0.95710826,0.000017506047,0.00008972242,0.00018527696,0.000128576,0.037140135,0.0036826928,0.0003122867,0.0012218441,0.000035988553],"about_ca_topic_score_codex":0.0143444175,"about_ca_topic_score_gemma":0.028234614,"teacher_disagreement_score":0.0143444175,"about_ca_system_score_codex":0.0008188179,"about_ca_system_score_gemma":0.00062236364,"threshold_uncertainty_score":0.028521836},"labels":[],"label_agreement":null},{"id":"W2184589704","doi":"","title":"Northern Watershed Ecosystem Response to Climate Change (North-Watch) - Towards a comparative ecohydrology of northern catchments.","year":2012,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Hydrology and Watershed Management Studies","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":"Snowmelt; Climate change; Environmental science; Watershed; Streamflow; Ecohydrology; Ecosystem; Precipitation; Environmental change; Snow; Climatology; Physical geography; Drainage basin; Ecology; Geography; Oceanography; Geology","score_opus":0.04653825666114713,"score_gpt":0.275759926917312,"score_spread":0.22922167025616486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2184589704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9861568,0.0009102011,0.0011536251,0.00037765646,0.000020501479,0.000030117752,0.004902082,0.00007759234,0.006371443],"genre_scores_gemma":[0.99213785,0.00067467097,0.0017953842,0.00009142276,0.000015282501,0.000051933825,0.0033617788,0.000040907846,0.0018308605],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977857,0.0000763293,0.000011729524,0.000049414044,0.000048093843,0.000035811754],"domain_scores_gemma":[0.9996138,0.000061137216,0.000101035555,0.00004773979,0.00006472149,0.00011156974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074854353,0.00009924959,0.0002507207,0.0011813128,0.00038159374,0.00096223044,0.00022089724,0.00019261094,0.0025404948],"category_scores_gemma":[0.00089965854,0.00010926451,0.0002813425,0.002273798,0.00027137963,0.0009090677,0.00083933916,0.00016063832,0.00015033013],"study_design_candidate":"simulation_or_modeling","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":[0.0001718621,0.000068600726,0.9211065,0.00020208498,0.00024437852,0.0003256023,0.006055974,0.0021844201,0.0059098937,0.0025901014,0.005113116,0.056027435],"study_design_scores_gemma":[0.000002075641,0.000011507343,0.99403644,0.000012527559,0.000011747191,0.000037943046,0.001102213,0.00057128904,0.00008864824,0.00027163848,0.0038502063,0.000003615887],"about_ca_topic_score_codex":0.07417537,"about_ca_topic_score_gemma":0.17608264,"teacher_disagreement_score":0.92582464,"about_ca_system_score_codex":0.0014962038,"about_ca_system_score_gemma":0.00081595435,"threshold_uncertainty_score":0.14748722},"labels":[],"label_agreement":null},{"id":"W2184965969","doi":"","title":"A New Framework for Effective and Efficient Global Sensitivity Analysis of Earth and Environmental Systems Models","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Probabilistic and Robust Engineering Design","field":"Decision 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 Saskatchewan","funders":"","keywords":"Sobol sequence; Sensitivity (control systems); Metric (unit); Computer science; Set (abstract data type); Range (aeronautics); Performance metric; Mathematical optimization; Mathematics; Engineering","score_opus":0.08046749974514922,"score_gpt":0.3171221023714227,"score_spread":0.23665460262627347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2184965969","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":[0.0002818601,0.00005040987,0.9987508,0.00006852271,0.000010371363,0.000018153523,0.00002754851,0.000057979087,0.0007344441],"genre_scores_gemma":[0.10454088,0.00047078615,0.89187443,0.00023767282,0.00016960685,0.0006015649,0.00028169973,0.00033921565,0.0014841454],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9948088,0.0028489286,0.00027827127,0.0005311956,0.0012954244,0.00023738286],"domain_scores_gemma":[0.9937237,0.0042139348,0.00040369274,0.0007723097,0.0007417144,0.00014471007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010178181,0.0029226646,0.0021791623,0.0035319235,0.0008729193,0.0027718723,0.0025756706,0.0016941879,0.0039280364],"category_scores_gemma":[0.0144139705,0.0013937027,0.0040820693,0.0018060019,0.0026687293,0.0032462752,0.0051084845,0.0052164947,0.0006475605],"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":[0.000010666655,0.000025279858,0.00021241022,0.00010487477,0.00008798992,0.000053529555,0.00008177695,0.7537427,0.0015481258,0.22794956,0.0008184724,0.015364622],"study_design_scores_gemma":[0.0000055133282,0.000028075381,0.000075629505,0.00003129324,0.000019094798,0.000029424713,0.000021670614,0.85165334,0.0005036827,0.14383201,0.0037810556,0.000019151043],"about_ca_topic_score_codex":0.0036786976,"about_ca_topic_score_gemma":0.0030474176,"teacher_disagreement_score":0.010178181,"about_ca_system_score_codex":0.0019415729,"about_ca_system_score_gemma":0.0023401815,"threshold_uncertainty_score":0.053828},"labels":[],"label_agreement":null},{"id":"W2186615356","doi":"","title":"Sea level Atlantic-to-Arctic: an examination of the altimeter record","year":2012,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Oceanographic and Atmospheric Processes","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":"Oceanography; Hydrography; Ocean gyre; Climatology; Geology; Arctic; Sea level; Altimeter; Geodesy; Fishery","score_opus":0.04783645198045413,"score_gpt":0.24557189988358247,"score_spread":0.19773544790312833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2186615356","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.983716,0.0006431769,0.00051698287,0.00010291394,0.000035148365,0.000011356233,0.009858011,0.000051516115,0.0050649038],"genre_scores_gemma":[0.9839156,0.00083962944,0.0016723484,0.000060356197,0.000044628607,0.00001902375,0.011097138,0.00002354471,0.0023277653],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99980336,0.000027005744,0.00002434002,0.000044280107,0.000073042465,0.000027951251],"domain_scores_gemma":[0.9992823,0.00008892224,0.00023689588,0.000057958354,0.00028842228,0.000045523022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044223916,0.00013054305,0.0001509996,0.001527629,0.00022537594,0.0006043648,0.000104460865,0.0001371969,0.0008428889],"category_scores_gemma":[0.00085862406,0.000084901185,0.00021236794,0.0023539595,0.00007563828,0.00026111264,0.00030081047,0.0001567511,0.0003385178],"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":[0.00006299541,0.000020259857,0.97334,0.000043828033,0.00009988975,0.0000914942,0.00025335225,0.00071151496,0.002443612,0.00013192088,0.0010658972,0.02173534],"study_design_scores_gemma":[0.0000010989671,0.000019355903,0.99498415,0.000010641549,0.000019861116,0.000051151044,0.00013023902,0.00045226025,0.0003284974,0.0000147662,0.003985042,0.0000030192775],"about_ca_topic_score_codex":0.032832496,"about_ca_topic_score_gemma":0.054041177,"teacher_disagreement_score":0.032832496,"about_ca_system_score_codex":0.00029908694,"about_ca_system_score_gemma":0.0004080161,"threshold_uncertainty_score":0.06528282},"labels":[],"label_agreement":null},{"id":"W2187356413","doi":"","title":"Campanian agglutinated foraminifera from the Lomonosov Ridge, IODP Leg 302 (ACEX): implications for Arctic Late Cretacous paleogeography","year":2012,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological Studies and Exploration","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":"Geology; Paleontology; Unconformity; Cretaceous; Arctic; Foraminifera; Ridge; Oceanography; Sedimentary rock","score_opus":0.047545169162647366,"score_gpt":0.2489847467143742,"score_spread":0.20143957755172684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2187356413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983429,0.000093802075,0.000019988667,0.000018363196,0.0000017385055,0.0000038255307,0.00016530047,0.0000031791444,0.0013508664],"genre_scores_gemma":[0.9988921,0.00009397575,0.000104171384,0.000013647798,0.000003469324,0.0000050560466,0.0005026201,0.000002402663,0.00038261726],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999043,0.000008243924,0.0000063264984,0.00002591263,0.000019740775,0.00003545216],"domain_scores_gemma":[0.9998135,0.000015967913,0.00006289803,0.00001018273,0.000040805997,0.000056624835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017248454,0.00028422757,0.00015736691,0.0010395111,0.00068963325,0.00072153076,0.000220749,0.000226819,0.0009707355],"category_scores_gemma":[0.00029952067,0.00010993505,0.00011283493,0.0007882039,0.0003368197,0.00018336326,0.00052833004,0.00019526019,0.00019576651],"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":[0.00012399493,0.000035568195,0.96140826,0.000037411624,0.000020239591,0.0006505256,0.0027754924,0.00011708946,0.021765456,0.00008048477,0.00021614895,0.012769426],"study_design_scores_gemma":[0.0000012720419,0.0000092063765,0.9989374,0.0000055143378,0.0000012837144,0.00009035048,0.00037637816,0.000036031393,0.00016235735,0.0000066327984,0.00037246375,9.480232e-7],"about_ca_topic_score_codex":0.068055555,"about_ca_topic_score_gemma":0.16934729,"teacher_disagreement_score":0.068055555,"about_ca_system_score_codex":0.0006242495,"about_ca_system_score_gemma":0.00052431715,"threshold_uncertainty_score":0.13531888},"labels":[],"label_agreement":null},{"id":"W2188085145","doi":"","title":"Feedbacks of the plant physiology in a coupled climate model under a \"hypothical\" cooler climate during the Holocene","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","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":"Tundra; Vegetation (pathology); Environmental science; Boreal; Climatology; Climate model; Taiga; Arctic; Downscaling; Climate change; Albedo (alchemy); Holocene; Arctic vegetation; Latitude; Ecology; Oceanography; Geography; Geology; Biology","score_opus":0.031182868424617143,"score_gpt":0.24950476326478993,"score_spread":0.21832189484017278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2188085145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960122,0.0000543049,0.0016542131,0.00018378628,0.000027823286,0.00001307725,0.0005889417,0.00010086286,0.0013648625],"genre_scores_gemma":[0.998126,0.000046388304,0.0008179313,0.000051534276,0.000013437918,0.000034047982,0.00043922415,0.000025645824,0.0004457065],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998591,0.00003086231,0.000009109294,0.000053440763,0.000010466381,0.00003706898],"domain_scores_gemma":[0.999736,0.00010055312,0.000038545488,0.00002341269,0.000035374094,0.00006615088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002948202,0.0007681388,0.0006073626,0.00027787595,0.0004932555,0.0010674217,0.0010461515,0.0012979499,0.0015005405],"category_scores_gemma":[0.0008070344,0.0003941788,0.0011587307,0.00036438837,0.00069747656,0.00075579225,0.0005605475,0.0008097555,0.000118050826],"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":[0.00021588402,0.0001056828,0.008899037,0.00004091474,0.000107330685,0.00010915384,0.0000625874,0.98317635,0.005250589,0.0010540736,0.00026674522,0.0007116252],"study_design_scores_gemma":[0.00021523212,0.000079736354,0.009370466,0.0000046985865,0.00007437457,0.000014070504,0.000043711796,0.9890086,0.0004800717,0.00045118784,0.00022794696,0.000029826884],"about_ca_topic_score_codex":0.059638932,"about_ca_topic_score_gemma":0.021696644,"teacher_disagreement_score":0.059638932,"about_ca_system_score_codex":0.0010908071,"about_ca_system_score_gemma":0.00079924846,"threshold_uncertainty_score":0.11858356},"labels":[],"label_agreement":null},{"id":"W2188515495","doi":"","title":"Biotic drivers of fluvial sediment transport: Aggregate effects of sediment mobilisation by crayfish on catchment-scale sediment yield","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Crustacean biology and ecology","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":"Sediment; Crayfish; Pacifastacus; Environmental science; Fluvial; Hydrology (agriculture); Ecology; Sediment transport; Turbidity; Sedimentary budget; Geology; Biology; Structural basin; Geomorphology","score_opus":0.015837346816474293,"score_gpt":0.22725685489161573,"score_spread":0.21141950807514143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2188515495","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994906,0.000060611233,0.00012630598,0.000025899835,9.755917e-7,0.0000037183663,0.00011270017,0.000010696253,0.00016844195],"genre_scores_gemma":[0.9997825,0.000020397278,0.000037929145,0.0000063362936,0.0000022294216,0.0000033341555,0.000070945905,0.0000027947615,0.00007337956],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99961424,0.00008293495,0.000038886552,0.00012610001,0.000049217062,0.00008859308],"domain_scores_gemma":[0.99854267,0.00042734772,0.00043147753,0.00014188021,0.00016138166,0.00029519238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078214234,0.000341803,0.00064851966,0.0010829691,0.000585852,0.0016104439,0.0004018511,0.0007541103,0.0018295253],"category_scores_gemma":[0.0023550696,0.0002849982,0.00073421944,0.0011211722,0.0009108763,0.0009999136,0.0013320924,0.00036694095,0.0001974471],"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":[0.00013032946,0.000052540585,0.9871111,0.000034866913,0.00032346157,0.0001491413,0.00040125218,0.0026150637,0.006141372,0.0001101248,0.000082994906,0.0028477148],"study_design_scores_gemma":[0.0000013018055,0.000024400717,0.9983242,0.0000015235447,0.000021082613,0.000013973787,0.00012399603,0.0013661096,0.000045939087,0.000032646163,0.000041046264,0.0000037674486],"about_ca_topic_score_codex":0.031533584,"about_ca_topic_score_gemma":0.034296814,"teacher_disagreement_score":0.031533584,"about_ca_system_score_codex":0.00076399604,"about_ca_system_score_gemma":0.00039210476,"threshold_uncertainty_score":0.06270009},"labels":[],"label_agreement":null},{"id":"W2189460752","doi":"","title":"Global glacier volume projections for the 21st century including the dynamical response to changes in climate","year":2012,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Cryospheric studies and observations","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":"Glacier; Glacier mass balance; Climatology; Glacier morphology; Snow; Precipitation; Meltwater; Glacier ice accumulation; Geology; Climate change; Accumulation zone; Cryosphere; Arctic; Forcing (mathematics); Atmospheric sciences; Environmental science; Ice stream; Sea ice; Meteorology; Geomorphology; Geography; Oceanography","score_opus":0.05440552480764163,"score_gpt":0.29147504198909646,"score_spread":0.23706951718145483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2189460752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66399807,0.004725714,0.11360747,0.0035705457,0.0009487945,0.0001831482,0.17015666,0.004787791,0.038021844],"genre_scores_gemma":[0.87718576,0.0036038926,0.03474813,0.00022636757,0.0001347445,0.0002732111,0.078140266,0.00049784646,0.005189783],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998528,0.000039749168,0.000008986734,0.000039097627,0.000044399345,0.000014898051],"domain_scores_gemma":[0.9997631,0.00003875387,0.000052917345,0.000032836386,0.000083109866,0.000029308609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046501533,0.0009326107,0.00024792663,0.00073457457,0.00016246307,0.000769087,0.00046674526,0.0006798873,0.0035797413],"category_scores_gemma":[0.0010787905,0.00032898577,0.00070323184,0.0017417197,0.00014264116,0.00095376564,0.00042815355,0.0006196225,0.00096982345],"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":[0.00017474222,0.00003693291,0.020154873,0.00023473134,0.00021634922,0.00009378215,0.00010232399,0.92245305,0.0026425165,0.006166732,0.013984439,0.033739462],"study_design_scores_gemma":[0.00016939586,0.00018695739,0.070343226,0.00017386985,0.0002880301,0.0002102716,0.00026345914,0.7851338,0.0039326153,0.023604875,0.115558885,0.00013458113],"about_ca_topic_score_codex":0.023457944,"about_ca_topic_score_gemma":0.020232953,"teacher_disagreement_score":0.023457944,"about_ca_system_score_codex":0.00091923616,"about_ca_system_score_gemma":0.0011097408,"threshold_uncertainty_score":0.04664278},"labels":[],"label_agreement":null},{"id":"W231123621","doi":"","title":"Diamonds in an Archean greenstone belt: Diamond suites in unconventional rocks of Wawa, Northern Ontario (Canada)","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Greenschist; Felsic; Greenstone belt; Archean; Geochemistry; Geology; Mafic; Metamorphic facies; Craton; Volcanic rock; Diamond; Petrology; Volcano; Facies; Metamorphism; Geomorphology; Paleontology; Tectonics; Structural basin","score_opus":0.016420848881183527,"score_gpt":0.2101062756156454,"score_spread":0.19368542673446187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W231123621","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989249,0.00010925352,0.000043863307,0.000018305464,6.2096785e-7,0.000009518938,0.000310529,0.0000018217004,0.00058126624],"genre_scores_gemma":[0.998009,0.00014637498,0.00019415237,0.000025740286,9.2128266e-7,0.000007371523,0.00037929649,0.0000027781566,0.0012343772],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997745,0.000010635375,0.0000070439337,0.000048540427,0.000056012505,0.000103214625],"domain_scores_gemma":[0.9997019,0.000018336885,0.00006507063,0.000012359787,0.000110144254,0.00009211563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012803028,0.0002716206,0.000234623,0.0015043805,0.0021920416,0.0008561307,0.0006462938,0.00023980916,0.0010021873],"category_scores_gemma":[0.000422937,0.00023783362,0.0001441878,0.0025399667,0.0010419437,0.00026592382,0.0008446605,0.0002129974,0.00017160394],"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":[0.000091871625,0.00003274372,0.9734946,0.000044517612,0.000030892938,0.00047136907,0.00867806,0.0002220506,0.0059581264,0.000301812,0.0003710893,0.010302831],"study_design_scores_gemma":[0.0000026217094,0.000009350932,0.99444675,0.000008641759,0.0000068887007,0.000090477195,0.0038462603,0.00011539918,0.00015781505,0.000026623722,0.0012852359,0.0000039490105],"about_ca_topic_score_codex":0.9850535,"about_ca_topic_score_gemma":0.99766326,"teacher_disagreement_score":0.01494652,"about_ca_system_score_codex":0.013085088,"about_ca_system_score_gemma":0.0073039397,"threshold_uncertainty_score":0.09493941},"labels":[],"label_agreement":null},{"id":"W23587155","doi":"10.1186/1478-4505-11-13","title":"On the representation of gravity current dynamics in numerical ocean circulation models","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Current (fluid); Representation (politics); Ocean current; Dynamics (music); Gravity current; Circulation (fluid dynamics); Grid; Ocean dynamics; Geology; Geodesy; Computer science; Mechanics; Physics; Climatology; Oceanography; Internal wave","score_opus":0.03373787820466024,"score_gpt":0.25871628593918444,"score_spread":0.2249784077345242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W23587155","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":[0.2613375,0.0014839333,0.67912126,0.0068989275,0.00045688206,0.00016090892,0.0013049475,0.0008287999,0.04840695],"genre_scores_gemma":[0.95892763,0.0006633178,0.0358879,0.00026684193,0.00011681676,0.0000958889,0.00035499356,0.0001558088,0.0035307498],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992192,0.00051755883,0.000046410954,0.00007859432,0.000086042244,0.000052201147],"domain_scores_gemma":[0.9932944,0.005333195,0.0004208639,0.0004243679,0.00037534715,0.00015185616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002435408,0.0005637669,0.00080378633,0.00088025816,0.00079568557,0.0030676967,0.0013502075,0.0019449735,0.0042784032],"category_scores_gemma":[0.02491936,0.00061007374,0.00068854535,0.0012043959,0.0015126285,0.0029697036,0.0018382908,0.0020291787,0.00058445183],"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":[0.00002710543,0.000015994523,0.001139894,0.000021056387,0.000015679088,0.00003365109,0.00007358757,0.9566123,0.00010412406,0.037409287,0.0004407963,0.00410657],"study_design_scores_gemma":[0.0000047548187,0.0000030155747,0.0000962815,0.000006942675,0.0000022792688,0.0000018197304,0.000009394353,0.9929085,0.000018865165,0.0067251134,0.0002194317,0.0000037255281],"about_ca_topic_score_codex":0.045160547,"about_ca_topic_score_gemma":0.030656403,"teacher_disagreement_score":0.045160547,"about_ca_system_score_codex":0.0015791203,"about_ca_system_score_gemma":0.0019649756,"threshold_uncertainty_score":0.08979535},"labels":[],"label_agreement":null},{"id":"W242724279","doi":"","title":"Petrological imaging of the Cordilleran lithosphere beneath Craven Lake, NCVP, BC, Canada: local evidence for a texturally diverse, hydrous lithosphere","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological and Geochemical Analysis","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":"Peridotite; Geology; Amphibole; Xenolith; Lithosphere; Geochemistry; Craton; Mantle (geology); Tectonics; Paleontology; Quartz","score_opus":0.023698845569318266,"score_gpt":0.22541736788356023,"score_spread":0.20171852231424198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W242724279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9887318,0.0003881217,0.00022660561,0.0001684872,0.000004368012,0.000028894916,0.0016538537,0.00006741232,0.0087305205],"genre_scores_gemma":[0.99621034,0.00028933983,0.00060317694,0.000031078886,0.000002304982,0.0000074079608,0.0004886251,0.000016519381,0.0023511546],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998653,0.0000020894418,0.000004364125,0.000025337366,0.000065172935,0.000037631642],"domain_scores_gemma":[0.99980956,0.000008101626,0.000021936814,0.0000056641165,0.00011690461,0.00003788881],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007942458,0.0004111624,0.0001664752,0.0023729436,0.0026136953,0.0009668289,0.0005799242,0.00030284547,0.0031233367],"category_scores_gemma":[0.0003609357,0.00027598286,0.00011598446,0.0022429535,0.000501933,0.00026399235,0.0005324721,0.00026430763,0.00034275977],"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":[0.0002157009,0.00005296767,0.83744603,0.00024747997,0.00008658968,0.0017431456,0.0041550286,0.0012539073,0.097557716,0.00072389486,0.004065592,0.052452028],"study_design_scores_gemma":[0.000006741963,0.000007909095,0.993113,0.000027255986,0.000017860328,0.0002319916,0.0011829429,0.0010218736,0.002490715,0.000032402495,0.0018576841,0.000009753649],"about_ca_topic_score_codex":0.9702267,"about_ca_topic_score_gemma":0.99427974,"teacher_disagreement_score":0.029773295,"about_ca_system_score_codex":0.007122663,"about_ca_system_score_gemma":0.007100377,"threshold_uncertainty_score":0.059897244},"labels":[],"label_agreement":null},{"id":"W248502241","doi":"","title":"State of the art on forest and shallow landslide interactions illustrated by two studies in the French Alps","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Tree Root and Stability Studies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Landslide; Flourishing; Hebrew; Vegetation (pathology); Geography; Natural (archaeology); Natural hazard; Archaeology; Physical geography; History; Geology; Classics; Geomorphology","score_opus":0.041438809414105986,"score_gpt":0.28953375247170954,"score_spread":0.24809494305760355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W248502241","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3876833,0.5256818,0.001402768,0.014557379,0.00017152939,0.000015217567,0.0003327148,0.000020060732,0.070135206],"genre_scores_gemma":[0.8858879,0.1083905,0.0007619926,0.0018175857,0.0003063081,0.00001481693,0.0001650227,0.000012615059,0.0026433049],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99791735,0.00093021296,0.000117886535,0.00036949993,0.00034470865,0.0003203052],"domain_scores_gemma":[0.9917734,0.0062000495,0.0007078585,0.00020892335,0.00095025817,0.00015960702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050061685,0.00046162235,0.00074627396,0.005118618,0.0025767747,0.005130761,0.0006978266,0.0011072941,0.002475073],"category_scores_gemma":[0.003944991,0.00026414313,0.00058053504,0.005332552,0.00521841,0.001602629,0.0012617289,0.0008974278,0.00018662376],"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":[0.00042694135,0.00033489446,0.15032752,0.005572007,0.0007873568,0.0023626685,0.23097765,0.0016592785,0.0032236157,0.085087895,0.0092637325,0.50997645],"study_design_scores_gemma":[0.000012772257,0.00022915605,0.640995,0.006319103,0.0003750577,0.0013200709,0.10665491,0.000506325,0.0008413951,0.0051217037,0.23751299,0.00011140898],"about_ca_topic_score_codex":0.24321929,"about_ca_topic_score_gemma":0.30274886,"teacher_disagreement_score":0.24321929,"about_ca_system_score_codex":0.006980894,"about_ca_system_score_gemma":0.0032126782,"threshold_uncertainty_score":0.48360717},"labels":[],"label_agreement":null},{"id":"W252603175","doi":"","title":"High-Resolution Geoid-Derived Groundwater Storage Changes in Alaska, U.S.A. and Yukon Territory, Canada, from 1999 through 2009 with Comparison to GRACE","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geoid; Groundwater; Geology; Oceanography; Geodesy; Physical geography; Geography; Geophysics; Geotechnical engineering","score_opus":0.02008478715380601,"score_gpt":0.21552160364936243,"score_spread":0.19543681649555641,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W252603175","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95825636,0.0004176141,0.00017553686,0.00015436493,0.0000149346115,0.0000066161047,0.038290992,0.000057613957,0.0026259474],"genre_scores_gemma":[0.9830709,0.00037212498,0.00033604377,0.000031206768,0.0000034698862,0.0000069947987,0.014726252,0.0000057186226,0.0014471483],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99994576,0.0000029656917,0.0000075235107,0.000017718121,0.000015619762,0.000010456253],"domain_scores_gemma":[0.99976,0.000017861465,0.000037875227,0.000011380822,0.00014563158,0.000027201166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015464994,0.00014784496,0.0001470768,0.00067019305,0.0004037197,0.0003698413,0.00028816762,0.00025774728,0.00089936843],"category_scores_gemma":[0.00034733885,0.00012571672,0.00020798422,0.0016255411,0.00018900458,0.00026008848,0.0003336288,0.00016680938,0.0001477632],"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":[0.00045174418,0.00006383766,0.9532763,0.00015127596,0.0002731006,0.00029057963,0.00064102124,0.012849802,0.0030832894,0.00059412065,0.009796537,0.01852836],"study_design_scores_gemma":[0.000014729998,0.000009953289,0.99347657,0.000034521687,0.000050013143,0.00004618037,0.0004863146,0.0022762632,0.00042148578,0.00007571706,0.0030969505,0.000011238913],"about_ca_topic_score_codex":0.9128233,"about_ca_topic_score_gemma":0.9624497,"teacher_disagreement_score":0.08717668,"about_ca_system_score_codex":0.0026065984,"about_ca_system_score_gemma":0.0029794078,"threshold_uncertainty_score":0.17538011},"labels":[],"label_agreement":null},{"id":"W25261238","doi":"10.1158/0008-5472.can-14-1106","title":"Testing predictions of the Reconnection Location with THEMIS","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Ionosphere and magnetosphere dynamics","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":"Lockheed Martin (Canada)","funders":"","keywords":"Magnetopause; Magnetic reconnection; Physics; Line (geometry); Geophysics; Interplanetary magnetic field; Solar wind; Nanoflares; Magnetic field; Coronal mass ejection; Geometry; Mathematics","score_opus":0.013904850360023261,"score_gpt":0.2202548469200886,"score_spread":0.20634999656006534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W25261238","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76809585,0.0003626449,0.22046629,0.00034803402,0.00007001339,0.00008281312,0.00072498206,0.0011390846,0.008710278],"genre_scores_gemma":[0.9888337,0.0000774381,0.010098956,0.000018733997,0.0000064639257,0.00003754703,0.00031345655,0.000044681892,0.00056903],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998184,0.00004535075,0.000008805051,0.000063976884,0.000044354223,0.00001910674],"domain_scores_gemma":[0.9983512,0.0010857916,0.0002063412,0.00015125716,0.00014716813,0.000058190442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007084389,0.00053348683,0.00032493484,0.00028927144,0.00018201675,0.0005427136,0.0007219459,0.00054967013,0.0031043345],"category_scores_gemma":[0.0044773296,0.00023086875,0.000306138,0.00019048923,0.000262677,0.0008791048,0.00029976634,0.0004134448,0.00074073434],"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":[0.00057836657,0.00012790236,0.05228175,0.0001771464,0.00006989668,0.00017725641,0.000080202924,0.84374976,0.044803265,0.006935513,0.0009194583,0.050099555],"study_design_scores_gemma":[0.000020038102,0.00025672512,0.0075727156,0.00000940038,0.000016017844,0.00008742298,0.00004515105,0.9657161,0.02276,0.0026591304,0.00084184785,0.000015503278],"about_ca_topic_score_codex":0.0012755783,"about_ca_topic_score_gemma":0.0011061102,"teacher_disagreement_score":0.0031043345,"about_ca_system_score_codex":0.00063143356,"about_ca_system_score_gemma":0.0003996508,"threshold_uncertainty_score":0.0103850365},"labels":[],"label_agreement":null},{"id":"W256166562","doi":"","title":"Specific properties of the AMOC and paleo-sea surface conditions in the NW North Atlantic during recent interglacials","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Interglacial; Geology; North Atlantic Deep Water; Oceanography; Climatology; Glacial period; Thermohaline circulation; Paleontology","score_opus":0.044030577798516136,"score_gpt":0.24716244436556428,"score_spread":0.20313186656704815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W256166562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989303,0.00019182831,0.000028931958,0.00003547056,0.0000063253347,0.0000017670232,0.00021213482,0.0000021352596,0.0005911242],"genre_scores_gemma":[0.99939513,0.00008417996,0.000025262589,0.000014228662,0.000008651191,0.0000022082984,0.00033285122,0.0000017745547,0.00013570917],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99990594,0.000012664433,0.000011505579,0.000030051546,0.000015304628,0.00002445943],"domain_scores_gemma":[0.99955565,0.000083421415,0.00012704874,0.00002675111,0.00012352625,0.000083573665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043996223,0.0001601431,0.00027556403,0.0008361576,0.0005940206,0.00072954537,0.0002473958,0.0004162742,0.0010497326],"category_scores_gemma":[0.0010863013,0.00015932367,0.00033155826,0.0009750582,0.0003964958,0.0005370401,0.00053700525,0.00028763732,0.00015204013],"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":[0.00026229408,0.00001794129,0.9908222,0.000025367086,0.00008610225,0.000051708594,0.0004941492,0.00018995836,0.004742451,0.000080727215,0.000109943445,0.0031169897],"study_design_scores_gemma":[0.0000010162461,0.0000066511448,0.9996182,0.0000018009569,0.000007306846,0.000009503903,0.00012065125,0.00006369368,0.000037201124,0.000007719216,0.00012516108,0.0000011428881],"about_ca_topic_score_codex":0.057586588,"about_ca_topic_score_gemma":0.14753643,"teacher_disagreement_score":0.057586588,"about_ca_system_score_codex":0.00073005,"about_ca_system_score_gemma":0.00037523144,"threshold_uncertainty_score":0.11450279},"labels":[],"label_agreement":null},{"id":"W2595769658","doi":"","title":"Combining stochastic weather generation and ensemble streamflow predictions for short to medium term flow forecasting over Quebec, Canada","year":2012,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Streamflow; Term (time); Medium term; Meteorology; Climatology; Environmental science; Econometrics; Geography; Geology; Mathematics; Economics; Cartography; Drainage basin","score_opus":0.05848939705212319,"score_gpt":0.24930918690759563,"score_spread":0.19081978985547243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2595769658","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9662416,0.00044341892,0.017350284,0.0009879414,0.00010989077,0.0000747078,0.0069872285,0.0012120636,0.006592834],"genre_scores_gemma":[0.98934305,0.00010144884,0.005776865,0.000052308715,0.000019801844,0.00002273278,0.0026336135,0.0000396393,0.0020104991],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997924,0.0000372113,0.000012095312,0.000058358753,0.000052976106,0.000047139452],"domain_scores_gemma":[0.9992066,0.00015748834,0.00004773969,0.00003717219,0.00048038742,0.00007060887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006145624,0.00050086813,0.0004267384,0.0006189921,0.0007739194,0.00099003,0.0008626851,0.0004141929,0.0017838853],"category_scores_gemma":[0.0016647577,0.0003098619,0.0003384844,0.0010030417,0.00022140119,0.0005832754,0.00035074743,0.00047769945,0.00026520048],"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":[0.00015089393,0.00010344799,0.046790354,0.000032003445,0.00012113087,0.000063075066,0.000056904504,0.90113384,0.0009691056,0.00042681315,0.0060186484,0.04413378],"study_design_scores_gemma":[0.00001925285,0.0000067898854,0.011546654,0.0000040605437,0.0000143842535,0.0000023928417,0.000017722268,0.987587,0.00018905086,0.00009726363,0.0005039417,0.000011581144],"about_ca_topic_score_codex":0.9782638,"about_ca_topic_score_gemma":0.9825283,"teacher_disagreement_score":0.021736205,"about_ca_system_score_codex":0.008176951,"about_ca_system_score_gemma":0.009391356,"threshold_uncertainty_score":0.0593282},"labels":[],"label_agreement":null},{"id":"W2612813408","doi":"","title":"Surface water types in the Western Canadian Arctic: geochemical evolution and aquatic carbon transport","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Arctic; Surface water; Carbon fibers; Environmental science; Oceanography; Geology; Earth science; Environmental engineering","score_opus":0.02268918089931934,"score_gpt":0.22587840300712075,"score_spread":0.2031892221078014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612813408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99471337,0.0009791118,0.00012062103,0.00023801292,0.000013662242,0.000007700704,0.001893695,0.000014019364,0.002019844],"genre_scores_gemma":[0.99753964,0.0005173452,0.00015891517,0.000040735988,0.000003920253,0.00000415538,0.0008130437,0.000009252319,0.0009130714],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99972993,0.000018517883,0.000012822535,0.0000574949,0.00006944482,0.00011174104],"domain_scores_gemma":[0.9993185,0.000043211123,0.00007775235,0.000013819431,0.00042644714,0.00012025329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039814002,0.00044699278,0.0004029229,0.001889874,0.0036481665,0.0018980192,0.0007260231,0.00057059707,0.0016159558],"category_scores_gemma":[0.0008635745,0.0003498291,0.0005689318,0.006081432,0.00089278736,0.0006753059,0.0008019793,0.0003189809,0.0001934543],"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":[0.0003309464,0.000042467236,0.9740727,0.00008587917,0.00020055826,0.00011787087,0.0022583408,0.0019047566,0.0035563079,0.00043439274,0.0014571486,0.015538508],"study_design_scores_gemma":[0.0000038377448,0.0000051254688,0.9971405,0.000011547339,0.00002291313,0.000017638346,0.0013100016,0.0004876254,0.000110699104,0.000053885233,0.0008250174,0.000011153939],"about_ca_topic_score_codex":0.9953779,"about_ca_topic_score_gemma":0.99778086,"teacher_disagreement_score":0.018599015,"about_ca_system_score_codex":0.018599015,"about_ca_system_score_gemma":0.018475104,"threshold_uncertainty_score":0.13494593},"labels":[],"label_agreement":null},{"id":"W263588839","doi":"","title":"Dramatic changes in the dissolved 230Th concentration of seawater in Canada Basin between 1995 and 2009: a transient Arctic circulation signal?","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Arctic and Antarctic ice dynamics","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 British Columbia","funders":"","keywords":"Geotraces; Canada Basin; Oceanography; Scavenging; Water mass; Seawater; Arctic; Geology; Structural basin; North Atlantic Deep Water; Sea ice; Climatology; Thermohaline circulation; Geomorphology; Chemistry","score_opus":0.013766293999344262,"score_gpt":0.2028096432871267,"score_spread":0.18904334928778244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W263588839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99712795,0.00022027384,0.000080770966,0.000193226,0.000011439776,0.000005520689,0.0009900131,0.000010784005,0.0013601062],"genre_scores_gemma":[0.9982039,0.00013774054,0.00014486359,0.00006195558,0.000008037695,0.000004051718,0.0009746633,0.0000034399834,0.00046131804],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998362,0.000005081621,0.000006144881,0.000044678472,0.000055095417,0.000052687905],"domain_scores_gemma":[0.9996146,0.000020428753,0.000080023856,0.000014402788,0.00016775886,0.0001027264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019263464,0.00022839777,0.0003420268,0.0006590205,0.0009329071,0.00092120626,0.0004497905,0.0004465558,0.00059456547],"category_scores_gemma":[0.00054223073,0.00022258163,0.0002203501,0.0011927906,0.00066695426,0.00033317553,0.0004873396,0.0004368573,0.0000920461],"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":[0.00025511227,0.000033234617,0.9781325,0.000040062117,0.000088255045,0.00032903373,0.00088405196,0.00025487345,0.010325497,0.00016438442,0.00088807975,0.008604893],"study_design_scores_gemma":[0.0000018883302,0.000008496793,0.99851495,0.000003328446,0.000009987048,0.000021077572,0.00026369203,0.00014447338,0.0003334546,0.0000069402663,0.00068768195,0.000004154483],"about_ca_topic_score_codex":0.88096106,"about_ca_topic_score_gemma":0.9347382,"teacher_disagreement_score":0.11903894,"about_ca_system_score_codex":0.0065398565,"about_ca_system_score_gemma":0.0046119597,"threshold_uncertainty_score":0.2394799},"labels":[],"label_agreement":null},{"id":"W26675013","doi":"10.15557/jou.2013.0043","title":"Automatic Calibration of Hydrological Models in the Newly Reconstructed Catchments: Issues, Methods and Uncertainties","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Hydrology and Watershed Management Studies","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 Saskatchewan","funders":"","keywords":"Calibration; Environmental science; Remote sensing; Hydrological modelling; Computer science; Geology; Climatology; Mathematics; Statistics","score_opus":0.028877491424709786,"score_gpt":0.300294935594084,"score_spread":0.2714174441693742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W26675013","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":[0.1382352,0.00046047143,0.8556107,0.0004948639,0.000092681075,0.00011060108,0.0004905752,0.0028635543,0.0016412158],"genre_scores_gemma":[0.7823686,0.00022212126,0.21568128,0.000072680225,0.000047955935,0.00012611135,0.0005490766,0.00036330184,0.000568939],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980855,0.0011412654,0.0001175987,0.00035772493,0.00021913914,0.000078835714],"domain_scores_gemma":[0.9929675,0.004249133,0.00039705154,0.0011345089,0.0011139723,0.00013792061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062474166,0.00054744666,0.0007705692,0.0010822151,0.0006316198,0.0017868434,0.0015005349,0.00086610357,0.0011122418],"category_scores_gemma":[0.018292163,0.0006027645,0.00071383687,0.0014810086,0.0005480092,0.0013311153,0.0009861337,0.0011147446,0.0006313966],"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":[0.00020329344,0.000083922554,0.03191539,0.00014630491,0.0002358515,0.000080100464,0.00031738725,0.79129314,0.0030754604,0.0031331542,0.0010285078,0.16848747],"study_design_scores_gemma":[0.000017908731,0.000009714843,0.004578238,0.000019618272,0.000014299356,0.000024473173,0.000049304348,0.9920773,0.00092300476,0.0014330578,0.00083372334,0.000019371822],"about_ca_topic_score_codex":0.015055854,"about_ca_topic_score_gemma":0.013476204,"teacher_disagreement_score":0.015055854,"about_ca_system_score_codex":0.0007876753,"about_ca_system_score_gemma":0.0014491369,"threshold_uncertainty_score":0.033039868},"labels":[],"label_agreement":null},{"id":"W2724417460","doi":"","title":"The exchange of inorganic carbon on the Canadian Beaufort Shelf","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Oceanography; Environmental science; Geology","score_opus":0.03449274136589387,"score_gpt":0.2425019735158001,"score_spread":0.20800923214990624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2724417460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9870647,0.0005555968,0.00006437963,0.00091379444,0.000024366384,0.000013344739,0.0013481586,0.000010088655,0.010005429],"genre_scores_gemma":[0.9948718,0.00037191648,0.000110258545,0.00017092867,0.0000073651327,0.000008011613,0.00058374065,0.000011876608,0.003863983],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994381,0.000032781823,0.000015001529,0.00009649865,0.00022778392,0.00018976202],"domain_scores_gemma":[0.99900776,0.00006381519,0.00008545894,0.000023018823,0.0006710785,0.0001487969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043628656,0.00045923237,0.0006200525,0.0013865822,0.0061620288,0.002530625,0.0013559046,0.0011920802,0.0042754854],"category_scores_gemma":[0.0009409317,0.00040133085,0.0006238424,0.0028281235,0.0019225798,0.0010714985,0.0017182538,0.0007048049,0.00040309058],"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":[0.0022755943,0.0001245427,0.8898724,0.00026822832,0.00036208928,0.0010604408,0.011111629,0.007823217,0.03323947,0.004522981,0.011255027,0.03808439],"study_design_scores_gemma":[0.000009558955,0.000013946131,0.9927376,0.000017718186,0.00001642463,0.00002032526,0.0019017961,0.0006721891,0.00042284388,0.000074257005,0.0040881904,0.000025068011],"about_ca_topic_score_codex":0.99633455,"about_ca_topic_score_gemma":0.9970631,"teacher_disagreement_score":0.04407082,"about_ca_system_score_codex":0.04407082,"about_ca_system_score_gemma":0.02411383,"threshold_uncertainty_score":0.3197577},"labels":[],"label_agreement":null},{"id":"W2748739108","doi":"","title":"Characterizing contributions of glacier melt and groundwater in alpine glacierized watersheds of the Saint-Elias Mountain range (Canada)","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Glacier; Geology; Range (aeronautics); SAINT; Groundwater; Physical geography; Geomorphology; Hydrology (agriculture); Geography","score_opus":0.01705960181759601,"score_gpt":0.21220760701999128,"score_spread":0.19514800520239528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2748739108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99899656,0.000052830295,0.000059929345,0.000033431883,9.58336e-7,0.0000075718176,0.00041762585,0.000006366606,0.00042480693],"genre_scores_gemma":[0.9987142,0.00008544377,0.0001753677,0.000019073992,0.0000017318598,0.000005772871,0.00060487003,0.0000037865266,0.00038966796],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998344,0.000012120461,0.000007866128,0.00003424798,0.000042165848,0.0000691265],"domain_scores_gemma":[0.99965847,0.000057848938,0.00004028252,0.000009694385,0.00017033148,0.00006343309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001924118,0.00016339007,0.00027224753,0.0010094687,0.0011986204,0.0011431271,0.00064239063,0.00036996382,0.00050636486],"category_scores_gemma":[0.0007966085,0.000176963,0.00028611007,0.001837353,0.0005152483,0.0002951,0.00058750296,0.00026642528,0.00005319274],"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":[0.00010866283,0.000040011324,0.988765,0.000019809877,0.00006803702,0.000101271864,0.00088676607,0.0014083838,0.0024596604,0.00018988765,0.0002607489,0.0056918077],"study_design_scores_gemma":[0.000006515959,0.000007390213,0.9957266,0.0000073109786,0.000022872175,0.000027858125,0.0013708053,0.0020703834,0.0003423275,0.000049031027,0.00036359084,0.0000052570135],"about_ca_topic_score_codex":0.979542,"about_ca_topic_score_gemma":0.99003243,"teacher_disagreement_score":0.020457983,"about_ca_system_score_codex":0.010106111,"about_ca_system_score_gemma":0.010084049,"threshold_uncertainty_score":0.073325336},"labels":[],"label_agreement":null},{"id":"W2751062877","doi":"","title":"Estimating Continental Energy Storage from CMIP5 Simulations","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Environmental science; Computer science","score_opus":0.024221980074714464,"score_gpt":0.23511985556250356,"score_spread":0.2108978754877891,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2751062877","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93321383,0.0006181666,0.013178797,0.0008406697,0.00014749463,0.00007253901,0.027090596,0.0017772204,0.023060702],"genre_scores_gemma":[0.98837936,0.00012144686,0.0041952124,0.0000694581,0.000020519896,0.000051990923,0.0061362046,0.00015707611,0.0008686964],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997532,0.00006852754,0.000017433382,0.000062902574,0.000046210982,0.00005178495],"domain_scores_gemma":[0.99906987,0.00041463494,0.00005358069,0.00016363293,0.00023533878,0.000062947656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086935214,0.0011102981,0.0009064659,0.0010869803,0.0008192187,0.001198903,0.0012340512,0.0019054635,0.003787159],"category_scores_gemma":[0.0032529812,0.0009741599,0.001547463,0.0026559466,0.00059544307,0.0017751644,0.0006471071,0.0010223055,0.00088494946],"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":[0.00009407878,0.000018329529,0.0048287506,0.00005290242,0.00008037758,0.000045853314,0.000016450538,0.9898812,0.0004762237,0.0005650722,0.0013969827,0.0025435877],"study_design_scores_gemma":[0.000052565352,0.000022743148,0.006551642,0.000025358171,0.000051257168,0.000012797133,0.000041703504,0.9890808,0.0019853998,0.0007268385,0.001416003,0.000032908774],"about_ca_topic_score_codex":0.122927904,"about_ca_topic_score_gemma":0.06683746,"teacher_disagreement_score":0.122927904,"about_ca_system_score_codex":0.0024495916,"about_ca_system_score_gemma":0.0016764499,"threshold_uncertainty_score":0.24442476},"labels":[],"label_agreement":null},{"id":"W2751811302","doi":"","title":"A generalized quasi-geostrophic model of thermal convection","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geomagnetism and Paleomagnetism Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Geostrophic wind; Convection; Meteorology; Mathematics; Geology; Climatology; Physics","score_opus":0.038901790020416424,"score_gpt":0.2602104698847363,"score_spread":0.22130867986431985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2751811302","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":[0.372001,0.0038467476,0.46049738,0.008804142,0.0024087834,0.00029573013,0.0016690725,0.0012329265,0.1492442],"genre_scores_gemma":[0.9502389,0.0007747546,0.013246869,0.0007039899,0.00052198704,0.00020326543,0.0003329948,0.00021913479,0.0337581],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955744,0.00021273289,0.00002235936,0.00006476025,0.00007320976,0.00006952036],"domain_scores_gemma":[0.9993899,0.00018796297,0.0000678007,0.00006408072,0.00012093031,0.0001693934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006826402,0.0012548162,0.002142239,0.0008383496,0.0013963558,0.00320931,0.0032136876,0.0040660556,0.005120597],"category_scores_gemma":[0.0017077627,0.00090710924,0.0018517642,0.0010990613,0.0033073667,0.0024642725,0.002617025,0.0020091122,0.0007919562],"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":[0.00008740045,0.000070007554,0.00040403957,0.00007340725,0.00006177915,0.0002246234,0.000072082024,0.74599254,0.0019034566,0.2479813,0.0016694759,0.0014598233],"study_design_scores_gemma":[0.000044413286,0.000012099437,0.000098054385,0.0000037228588,0.000007424272,0.000014305241,0.0000126665645,0.98026824,0.000050470222,0.019136958,0.00033836346,0.000013260212],"about_ca_topic_score_codex":0.013612331,"about_ca_topic_score_gemma":0.0054902844,"teacher_disagreement_score":0.013612331,"about_ca_system_score_codex":0.0017465791,"about_ca_system_score_gemma":0.001880882,"threshold_uncertainty_score":0.027066171},"labels":[],"label_agreement":null},{"id":"W276683914","doi":"","title":"Development and Application of Compound-Specific Chlorine Stable Isotope Analysis of 1,2-Dichloroethane","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Groundwater and Isotope Geochemistry","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":"Environmental science; Library science; Computer science","score_opus":0.017461249553611367,"score_gpt":0.22318642329618105,"score_spread":0.20572517374256968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W276683914","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":[0.41259772,0.0056831934,0.5657416,0.00067711395,0.00032460812,0.0011836615,0.0019980138,0.0013216271,0.010472445],"genre_scores_gemma":[0.5440047,0.0043601226,0.4408654,0.00040770628,0.000062098006,0.0006371274,0.0013506225,0.00026989327,0.008042305],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999025,0.00015192656,0.00004573319,0.0003715422,0.00034495737,0.00006074319],"domain_scores_gemma":[0.99935955,0.000109983856,0.00005632311,0.000064700944,0.00037131057,0.00003814318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012895481,0.00075232406,0.00047052692,0.0013008751,0.00034185709,0.000815101,0.00079014077,0.00093693024,0.00073663244],"category_scores_gemma":[0.0011864924,0.00046315865,0.0003985429,0.00057124323,0.00056270586,0.00048188117,0.0006207118,0.0007304814,0.0006219616],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003404908,0.00001471849,0.00065623247,0.00004299231,0.000009534317,0.00001843069,0.000015051588,0.00017021602,0.99110466,0.00013855407,0.000052971536,0.007742565],"study_design_scores_gemma":[0.000011399926,0.00014138198,0.0021825233,0.000009169048,0.000026899363,0.00017919394,0.00003654209,0.00523353,0.9880415,0.00012406154,0.003991612,0.0000222457],"about_ca_topic_score_codex":0.0038400108,"about_ca_topic_score_gemma":0.012711709,"teacher_disagreement_score":0.0038400108,"about_ca_system_score_codex":0.0005564523,"about_ca_system_score_gemma":0.0012320627,"threshold_uncertainty_score":0.0076352954},"labels":[],"label_agreement":null},{"id":"W2787048295","doi":"","title":"Glacial Inception in North-east Canada: The Role of Topography and Clouds","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Glacial period; Geology; Physical geography; Geography; Paleontology","score_opus":0.014312507037870688,"score_gpt":0.19069807296101537,"score_spread":0.1763855659231447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787048295","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98775476,0.0025746927,0.00007186252,0.0017794264,0.000055858134,0.000017407474,0.0025587745,0.000014673823,0.0051726443],"genre_scores_gemma":[0.99554837,0.0010837478,0.000083336156,0.00020054089,0.000014910773,0.000004242848,0.0010410221,0.000013149077,0.0020106784],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99964654,0.00001648848,0.0000146137245,0.000048043396,0.0000610134,0.00021321273],"domain_scores_gemma":[0.99821484,0.00013629215,0.00022334834,0.000047552876,0.00076405995,0.0006139058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004931375,0.0003478336,0.00052014826,0.0017543572,0.0036636598,0.0038321905,0.0014491058,0.0009122876,0.0038958052],"category_scores_gemma":[0.002180437,0.00040495722,0.00055717677,0.004112768,0.001629353,0.0010145009,0.0015537647,0.0009948522,0.00022248551],"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":[0.0002700108,0.000048265927,0.97661704,0.000099408455,0.0001767649,0.000451255,0.0036757672,0.0009453692,0.00063605333,0.0017648217,0.0040667444,0.0112484535],"study_design_scores_gemma":[0.000010437549,0.000006176505,0.99238515,0.00009042319,0.00006002581,0.000040324292,0.0038177003,0.0005254136,0.00007146838,0.00010495388,0.0028729006,0.000014875166],"about_ca_topic_score_codex":0.9981919,"about_ca_topic_score_gemma":0.9993575,"teacher_disagreement_score":0.032774385,"about_ca_system_score_codex":0.032774385,"about_ca_system_score_gemma":0.0628103,"threshold_uncertainty_score":0.23779595},"labels":[],"label_agreement":null},{"id":"W280126468","doi":"","title":"Patagonian and Antarctic dust as recorded in the sediments of Laguna Potrok Aike (Patagonia, Argentina)","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","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":"Geography; Archaeology; Physical geography; Geology","score_opus":0.022358488145213642,"score_gpt":0.26172848708782387,"score_spread":0.23936999894261024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W280126468","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946951,0.0005358546,0.000048769045,0.00004934081,0.000008015295,0.000014443418,0.00159567,0.0000075895105,0.0030451512],"genre_scores_gemma":[0.9969652,0.00040434577,0.00016411862,0.000023205843,0.0000076163474,0.000022475751,0.0014177002,0.000003586393,0.0009917112],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998673,0.000021544558,0.000011880484,0.000037437523,0.000022514429,0.000039192866],"domain_scores_gemma":[0.9998084,0.000020871572,0.00007101692,0.000012823089,0.000052738316,0.000034211836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018701637,0.0003268163,0.00025082854,0.000793964,0.0005703434,0.0006239224,0.00024585868,0.00027914706,0.001491344],"category_scores_gemma":[0.00035429987,0.00017441706,0.00018033227,0.0014492549,0.00038046643,0.00016389921,0.0004872455,0.0002072423,0.00027052534],"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":[0.00088217517,0.000035756406,0.96852535,0.00020603626,0.0001574454,0.00092791463,0.001985482,0.0004266303,0.009106813,0.00019117034,0.001123271,0.016431985],"study_design_scores_gemma":[0.0000055119067,0.000018358607,0.9979886,0.000008563265,0.000006507068,0.0000823695,0.0003773014,0.000031389143,0.00008445724,0.000006676108,0.0013885075,0.00000189039],"about_ca_topic_score_codex":0.19081299,"about_ca_topic_score_gemma":0.26341787,"teacher_disagreement_score":0.19081299,"about_ca_system_score_codex":0.0010848638,"about_ca_system_score_gemma":0.00050748826,"threshold_uncertainty_score":0.37940472},"labels":[],"label_agreement":null},{"id":"W282044483","doi":"","title":"Effects of paper mill sludge and lime sludge on copper sorption and desorption in a marginal sandy soil","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Lime; Soil water; Sorption; Environmental science; Research centre; Agriculture; Environmental engineering; Archaeology; Geography; Adsorption; Chemistry; Geology; Soil science; Library science","score_opus":0.009580276106927294,"score_gpt":0.21183155268462409,"score_spread":0.2022512765776968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W282044483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992974,0.00017290364,0.000065767286,0.000021196995,0.000008452426,0.000010443815,0.000088896624,0.000005487079,0.00032946866],"genre_scores_gemma":[0.99823725,0.00025499237,0.00033808884,0.0000393985,0.0000057417515,0.000008938565,0.00012054802,0.0000074577315,0.0009876309],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99966526,0.00005889329,0.000025138921,0.00007572844,0.00006702657,0.00010804608],"domain_scores_gemma":[0.99950004,0.00021726426,0.00005114721,0.000015893245,0.00011901204,0.00009668397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041328577,0.000373912,0.00044958363,0.0002514372,0.00063004013,0.000655057,0.00026831753,0.00037024115,0.0010969396],"category_scores_gemma":[0.0006132439,0.00024968086,0.00031467038,0.00023557812,0.00046004954,0.0003190463,0.00026808307,0.0004353852,0.00022257335],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0044705267,0.0002944159,0.006217785,0.00035020016,0.000069113616,0.00018001437,0.00037359528,0.0012185082,0.9781652,0.00006669565,0.0003016163,0.008292262],"study_design_scores_gemma":[0.00027962265,0.0056669563,0.0921699,0.00005286266,0.00013092246,0.00021680408,0.00167383,0.0099049555,0.8868768,0.0002092985,0.0027243225,0.000093745766],"about_ca_topic_score_codex":0.059832573,"about_ca_topic_score_gemma":0.08682804,"teacher_disagreement_score":0.059832573,"about_ca_system_score_codex":0.0012742748,"about_ca_system_score_gemma":0.0012790895,"threshold_uncertainty_score":0.118968606},"labels":[],"label_agreement":null},{"id":"W283747360","doi":"","title":"Order, chaos and complexity in landscape evolution: insights from systems theory and social network theory","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Order (exchange); Chaos theory; Social complexity; Network theory; Edge of chaos; CHAOS (operating system); Computer science; Theoretical computer science; Epistemology; Sociology; Mathematics; Artificial intelligence; Social science; Economics; Philosophy","score_opus":0.019641286659158524,"score_gpt":0.22530865658989402,"score_spread":0.2056673699307355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W283747360","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5382532,0.02064797,0.35226098,0.02225428,0.00028388097,0.00010057847,0.000506841,0.0001195842,0.06557271],"genre_scores_gemma":[0.98274386,0.0028918413,0.012944054,0.00014806699,0.00014223624,0.00004062371,0.000066908346,0.0000128454585,0.0010096459],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992481,0.0003602837,0.000044221124,0.00011807909,0.00017468492,0.00005465535],"domain_scores_gemma":[0.9889691,0.009169429,0.00091594865,0.00031925036,0.00039342913,0.0002329317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001802539,0.00030636837,0.0006761389,0.0023843492,0.00091825303,0.0037422618,0.00051833654,0.00088735035,0.0012431549],"category_scores_gemma":[0.010210804,0.00029924494,0.00053112605,0.002094816,0.005436763,0.007614473,0.0013697898,0.0011139457,0.00008779503],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003836259,0.00004028186,0.012458501,0.00023417448,0.000078925535,0.00010899382,0.0026149838,0.047206126,0.0003770095,0.89903164,0.001863223,0.035947725],"study_design_scores_gemma":[0.000008098486,0.000009892465,0.004160441,0.00003306854,0.000016988233,0.00004371779,0.00053069374,0.031302795,0.00005949613,0.96169955,0.0021202692,0.000015042031],"about_ca_topic_score_codex":0.004529371,"about_ca_topic_score_gemma":0.0052760513,"teacher_disagreement_score":0.004529371,"about_ca_system_score_codex":0.0017962996,"about_ca_system_score_gemma":0.0011218186,"threshold_uncertainty_score":0.013033152},"labels":[],"label_agreement":null},{"id":"W285955793","doi":"","title":"Sedimentology, paleontology and age of the Ayacara and Lago Ranco formations (south-central Chile, 40°- 42°S). Tectonic implications.","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological and Tectonic Studies in Latin America","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":"Sedimentology; Geology; Archaeology; Tectonics; Historical geology; Geography; Paleontology","score_opus":0.014822071710776647,"score_gpt":0.22504418606243315,"score_spread":0.2102221143516565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W285955793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919676,0.001642128,0.00005355924,0.00016340277,0.0000070264286,0.000019657304,0.001619218,0.000010850278,0.004516547],"genre_scores_gemma":[0.9965663,0.0005107169,0.00013410057,0.000018794499,0.000005653501,0.000025211655,0.0011080456,0.0000051031016,0.0016260397],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988747,0.000021416345,0.000013165205,0.00002956442,0.00002170954,0.000026736981],"domain_scores_gemma":[0.99966586,0.000036767156,0.00011622165,0.000022956967,0.00010146105,0.000056843535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002673436,0.0002278123,0.00015527701,0.0015382818,0.000554486,0.00057424273,0.0003196793,0.00018725492,0.00302922],"category_scores_gemma":[0.00091125304,0.00016226861,0.00015015979,0.001966523,0.00069395255,0.00033972954,0.00070530176,0.00018491904,0.00043121944],"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":[0.00023207052,0.00004939074,0.96377856,0.00017086368,0.00009943066,0.0004584529,0.0022829196,0.00061825366,0.0034125273,0.0005604938,0.0013468873,0.026990172],"study_design_scores_gemma":[0.0000064628325,0.000009645898,0.9975103,0.0000206757,0.000006343938,0.00006488749,0.00060632615,0.00008390214,0.000058680875,0.000036732934,0.0015925473,0.000003458055],"about_ca_topic_score_codex":0.2755199,"about_ca_topic_score_gemma":0.47612903,"teacher_disagreement_score":0.2755199,"about_ca_system_score_codex":0.001732171,"about_ca_system_score_gemma":0.001338437,"threshold_uncertainty_score":0.54783237},"labels":[],"label_agreement":null},{"id":"W291383292","doi":"","title":"Links Between the Deep Western Boundary Current, Labrador Sea Water Formation and Export, and the Meridional Overturning Circulation","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Geology; Oceanography; Boundary current; Current (fluid); Circulation (fluid dynamics); Thermohaline circulation; Shutdown of thermohaline circulation; Climatology; Ocean current; North Atlantic Deep Water; Engineering","score_opus":0.028730311150295,"score_gpt":0.23288722260137054,"score_spread":0.20415691145107553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W291383292","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984586,0.000090090834,0.00003539851,0.00015679176,0.000005953905,0.0000012904399,0.00020208614,0.000004752248,0.0010449849],"genre_scores_gemma":[0.99853873,0.00009980044,0.000046383066,0.000028208566,0.000016154756,0.0000014805441,0.00037469005,0.000004424483,0.00089013367],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99991,0.000026985299,0.00000898755,0.000017318604,0.000008586397,0.000028182454],"domain_scores_gemma":[0.99879754,0.0003824127,0.0004384774,0.00004717849,0.00015001619,0.0001843259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033953527,0.00015134108,0.00015992398,0.00055371254,0.00027824283,0.0011637665,0.00021567143,0.0003216214,0.0032949536],"category_scores_gemma":[0.002001656,0.00018145685,0.00017201135,0.00083404337,0.00033571495,0.00063176587,0.00042757113,0.0003819495,0.00029068303],"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":[0.00014643885,0.00003447157,0.99480623,0.000004803258,0.0000535278,0.00006573179,0.000105719955,0.0004989475,0.00036410792,0.000322641,0.00033141611,0.0032658805],"study_design_scores_gemma":[0.000005359783,0.000010920941,0.9986897,0.000004195463,0.000021578904,0.000018422385,0.00014848351,0.0006630908,0.000046450725,0.0001181496,0.00027071522,0.000002955423],"about_ca_topic_score_codex":0.089436,"about_ca_topic_score_gemma":0.1359104,"teacher_disagreement_score":0.089436,"about_ca_system_score_codex":0.00065067946,"about_ca_system_score_gemma":0.0006870391,"threshold_uncertainty_score":0.17783082},"labels":[],"label_agreement":null},{"id":"W296942111","doi":"","title":"Organizational Strategies for Critical Transportation Infrastructure: Characteristics of Urban Resilience. The Case of Montreal.","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Infrastructure Resilience and Vulnerability 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":"École Nationale d'Administration Publique","funders":"","keywords":"Critical infrastructure; Resilience (materials science); Metropolitan area; Business; Urban resilience; Critical infrastructure protection; Population; Environmental planning; Environmental resource management; Computer security; Geography; Urban planning; Engineering; Computer science; Economics; Environmental health","score_opus":0.007057334439627056,"score_gpt":0.2404938668786917,"score_spread":0.23343653243906465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W296942111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7451528,0.0021983546,0.004629313,0.0069568893,0.000036996556,0.00018232779,0.0003442798,0.000035268138,0.2404638],"genre_scores_gemma":[0.99315614,0.00035131627,0.0005441864,0.00006359926,0.000004102658,0.000024618133,0.000039874056,0.0000034261998,0.0058127786],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99958867,0.00009579855,0.0000036933297,0.000026393287,0.00004002972,0.00024539424],"domain_scores_gemma":[0.999411,0.00010111799,0.0000960358,0.000028953498,0.000108389046,0.00025456093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005010654,0.00027618214,0.000073987496,0.0011521247,0.0042274264,0.0024287733,0.000940076,0.00074720336,0.0058733546],"category_scores_gemma":[0.001418027,0.0001374005,0.00023301785,0.0015887513,0.0034905826,0.001418023,0.0015267201,0.00039612633,0.0001584033],"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":[0.00007817913,0.00012148746,0.04670634,0.00008418329,0.000039847862,0.0023460924,0.026523575,0.014143552,0.00067912746,0.8745093,0.010582667,0.024185605],"study_design_scores_gemma":[0.00012959186,0.00018893214,0.2642106,0.00036891206,0.00014354939,0.0014119798,0.24075189,0.047663614,0.0010395625,0.14663632,0.2972781,0.00017693169],"about_ca_topic_score_codex":0.87762606,"about_ca_topic_score_gemma":0.93116516,"teacher_disagreement_score":0.12237394,"about_ca_system_score_codex":0.04068616,"about_ca_system_score_gemma":0.0111560635,"threshold_uncertainty_score":0.2952001},"labels":[],"label_agreement":null},{"id":"W297255550","doi":"","title":"New deglacial and Holocene micropaleontological and geochemical records from the southern margin of the Svalbard Archipelago (Arctic Ocean)","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","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":"Archipelago; Geology; Oceanography; Arctic; Holocene; Physical geography; Archaeology; Geography","score_opus":0.01826523128891398,"score_gpt":0.22759030784533849,"score_spread":0.20932507655642452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W297255550","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955908,0.0011601417,0.000102696875,0.000027013977,0.000010402854,0.0000048329207,0.0014857568,0.000008196986,0.0016102096],"genre_scores_gemma":[0.9955249,0.00047080967,0.0004369361,0.000021067168,0.000014118909,0.000010348871,0.0026087253,0.000012603124,0.0009005085],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998301,0.000018929653,0.000017294164,0.00005985519,0.000038196344,0.00003558729],"domain_scores_gemma":[0.9997303,0.000026548556,0.00006769378,0.00002743383,0.00009580482,0.00005221271],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036190025,0.00018876883,0.0002619597,0.0026412357,0.00069834583,0.000739376,0.00032883216,0.00022125895,0.0010807604],"category_scores_gemma":[0.0004290158,0.0002101432,0.0002084424,0.0020354106,0.0003286112,0.00032235414,0.00065065804,0.00024186174,0.00036728237],"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":[0.00022699458,0.000042127274,0.9579839,0.00007653928,0.00017870203,0.00021345305,0.0022654454,0.00024423015,0.005859847,0.00015682064,0.0010632946,0.031688724],"study_design_scores_gemma":[0.0000010758116,0.000004214729,0.9984261,0.0000063783054,0.000008397424,0.000037868227,0.00016549471,0.00004022204,0.000059179485,0.000007094265,0.001242608,0.0000014635655],"about_ca_topic_score_codex":0.22568391,"about_ca_topic_score_gemma":0.54157144,"teacher_disagreement_score":0.22568391,"about_ca_system_score_codex":0.0010484803,"about_ca_system_score_gemma":0.0006926067,"threshold_uncertainty_score":0.4487406},"labels":[],"label_agreement":null},{"id":"W2983445525","doi":"","title":"Geochemical Evidence of a Near Surface History for the Source Rocks of the Central Coast Mountains Batholith, British Columbia","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Batholith; Geology; Geochemistry; Earth science; Archaeology; Oceanography; Paleontology; Geography; Tectonics","score_opus":0.027939107569541613,"score_gpt":0.23159879925101787,"score_spread":0.20365969168147624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2983445525","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99011946,0.00042028833,0.00010252539,0.0001463254,0.0000057712487,0.0000116617,0.000791106,0.000010163439,0.008392685],"genre_scores_gemma":[0.99690336,0.00024987775,0.000121514335,0.000031062384,0.0000016736959,0.0000037820694,0.0003611751,0.000007609726,0.0023198607],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998204,0.000011146776,0.000013979763,0.00003705645,0.00005372423,0.000063661195],"domain_scores_gemma":[0.9987984,0.00007788803,0.00013059536,0.000056145283,0.0008124165,0.00012452336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016550042,0.00014892407,0.00022894806,0.0032878078,0.0025148236,0.0015814134,0.0005923911,0.000333771,0.004220395],"category_scores_gemma":[0.0010726368,0.00029430544,0.00008850769,0.004281226,0.0010460563,0.00042895915,0.00076997944,0.00047180313,0.00033875022],"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":[0.00017062393,0.000053942633,0.9478395,0.00014079368,0.00006563344,0.0006696941,0.0050714402,0.00038602643,0.014471223,0.0007454612,0.0010833603,0.029302277],"study_design_scores_gemma":[0.0000023069895,0.000006668897,0.9955539,0.000027439415,0.000011928411,0.000080644,0.0019444021,0.00009959981,0.0004004377,0.000035667876,0.0018326759,0.00000427665],"about_ca_topic_score_codex":0.9566681,"about_ca_topic_score_gemma":0.9904901,"teacher_disagreement_score":0.04333192,"about_ca_system_score_codex":0.00598451,"about_ca_system_score_gemma":0.0057549784,"threshold_uncertainty_score":0.08717418},"labels":[],"label_agreement":null},{"id":"W2983573038","doi":"","title":"Towards understanding the spatial and temporal characteristics of stream, hillslope, and groundwater runoff processes in a Rocky Mountain headwater catchment in Alberta, Canada","year":2014,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Surface runoff; Groundwater; Hydrology (agriculture); Drainage basin; Geology; STREAMS; Environmental science; Geography; Cartography; Ecology","score_opus":0.015281759905010494,"score_gpt":0.21530312332512083,"score_spread":0.20002136342011034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2983573038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99698263,0.0003099994,0.00036712995,0.0002554291,0.000004114465,0.000030033782,0.0008623619,0.000018308714,0.0011699985],"genre_scores_gemma":[0.9959341,0.0003852676,0.0011142454,0.00007739296,0.0000045205743,0.000015985337,0.0008747994,0.000008933076,0.0015847355],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996903,0.00002921397,0.000020429912,0.00006174302,0.00008917038,0.00010927093],"domain_scores_gemma":[0.99926955,0.000115056006,0.00008233935,0.000020547335,0.00040342126,0.00010905424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004643403,0.00023191959,0.0002769695,0.0013946089,0.0017935546,0.0019626606,0.00089153653,0.00047959565,0.0009991893],"category_scores_gemma":[0.0011629774,0.00024455762,0.0002946103,0.0033267366,0.00075765426,0.0005598539,0.00051610253,0.0004850074,0.00011160253],"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":[0.00014900054,0.00017710512,0.949683,0.00008047241,0.000078707446,0.0003201819,0.0042452016,0.00526083,0.0040314835,0.0005961289,0.0021200618,0.033257753],"study_design_scores_gemma":[0.0000064686765,0.000009757355,0.9908523,0.000017852295,0.000021607417,0.00003701682,0.0036339785,0.003846132,0.0002347729,0.00008519047,0.0012402347,0.000014717508],"about_ca_topic_score_codex":0.99635637,"about_ca_topic_score_gemma":0.9981248,"teacher_disagreement_score":0.017595189,"about_ca_system_score_codex":0.017595189,"about_ca_system_score_gemma":0.02378836,"threshold_uncertainty_score":0.1276626},"labels":[],"label_agreement":null},{"id":"W2984645339","doi":"","title":"L-band InSAR Penetration Depth Experiment, North Slope Alaska","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Climate change and permafrost","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":"Remote sensing; Interferometric synthetic aperture radar; Synthetic aperture radar; Arctic; Radar; Environmental science; Spacecraft; Earth observation; Meteorology; Tundra; Space-based radar; Geology; Satellite; Radar imaging; Aerospace engineering; Geography; Radar engineering details; Engineering","score_opus":0.08203589015161081,"score_gpt":0.290307206477779,"score_spread":0.20827131632616822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2984645339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984981,0.00001902436,0.0005319964,0.0000037939044,0.0000015985238,0.000003570194,0.00011854866,0.00002057375,0.0008028881],"genre_scores_gemma":[0.99761343,0.000038623773,0.0009869,0.000008769586,9.0410833e-7,0.000007999998,0.00027978272,0.000007882244,0.0010556388],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999443,0.000006396942,0.0000031398167,0.00001964022,0.000018277844,0.000008303021],"domain_scores_gemma":[0.9999014,0.000016495262,0.000017848888,0.000016701455,0.000027967058,0.000019432464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014610255,0.00024458562,0.000108367574,0.00017032362,0.00025539767,0.00018146637,0.00010482178,0.0001779069,0.0006608388],"category_scores_gemma":[0.00014759958,0.0001370157,0.000086977234,0.00016117899,0.00018798285,0.00028337905,0.00024029391,0.00022713518,0.0002652986],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002108006,0.00084323814,0.13731492,0.00006613968,0.00007452122,0.00040304044,0.0013799561,0.006176383,0.82185805,0.00043450517,0.00038450098,0.028956713],"study_design_scores_gemma":[0.000084319014,0.0029034335,0.7536313,0.000016694186,0.0000780441,0.00055874913,0.0015048572,0.012498772,0.22318137,0.00041445286,0.005097515,0.000030623425],"about_ca_topic_score_codex":0.0066235047,"about_ca_topic_score_gemma":0.01161629,"teacher_disagreement_score":0.0066235047,"about_ca_system_score_codex":0.00014338628,"about_ca_system_score_gemma":0.000110808585,"threshold_uncertainty_score":0.013169885},"labels":[],"label_agreement":null},{"id":"W2985087388","doi":"","title":"Climatic changes over the Republic of Belarus during the period of instrumental observations","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Marine and environmental studies","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":"Geography; Period (music); Russian federation; Capital city; Physical geography; Regional science; Economic geography","score_opus":0.02523382288197683,"score_gpt":0.21299774834246613,"score_spread":0.18776392546048928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2985087388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9506957,0.0026196288,0.00093052955,0.00087049615,0.00013545835,0.00004452982,0.034048576,0.00016439553,0.010490739],"genre_scores_gemma":[0.9853822,0.0006030138,0.0005593675,0.000106047664,0.00003200507,0.000032110576,0.012005698,0.000023637305,0.0012558979],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994456,0.0001208892,0.00006794481,0.0001289976,0.000107199485,0.00012936327],"domain_scores_gemma":[0.9990971,0.00015516639,0.00031135953,0.00008897006,0.0002782844,0.00006909318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009359942,0.00021715708,0.00030876993,0.0010899408,0.0005604113,0.0008337409,0.00033167904,0.00017678845,0.0011989892],"category_scores_gemma":[0.0016101887,0.00022490433,0.0002959475,0.0020046874,0.00040251727,0.000473857,0.00072493526,0.00029370643,0.0003431068],"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":[0.00047877416,0.00007422033,0.92583895,0.00038156137,0.00048853434,0.00039841444,0.0026672028,0.006175532,0.003267908,0.0033321679,0.016950807,0.039946042],"study_design_scores_gemma":[0.000011491883,0.000032895434,0.98428935,0.000031403986,0.000036385856,0.000046064164,0.00047077844,0.00031265614,0.00024502145,0.0000651805,0.014450078,0.000008703464],"about_ca_topic_score_codex":0.12746835,"about_ca_topic_score_gemma":0.12358512,"teacher_disagreement_score":0.12746835,"about_ca_system_score_codex":0.0022831887,"about_ca_system_score_gemma":0.0013114011,"threshold_uncertainty_score":0.25345278},"labels":[],"label_agreement":null},{"id":"W2985360385","doi":"","title":"On the Linkage between Labrador Sea Water Volume and Overturning Circulation in the Labrador Sea","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Circulation (fluid dynamics); Volume (thermodynamics); Geology; Oceanography","score_opus":0.027392020832187457,"score_gpt":0.23433123742914785,"score_spread":0.2069392165969604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2985360385","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99694073,0.00026837934,0.00009135546,0.00028339506,0.000015398586,0.000002609722,0.00028967627,0.000011940347,0.0020964947],"genre_scores_gemma":[0.9988776,0.000092648304,0.000050739443,0.000036102632,0.000015766072,0.000001613953,0.0002448341,0.000008173022,0.0006726838],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995419,0.00017647797,0.000040034833,0.00009549516,0.00003894512,0.00010713448],"domain_scores_gemma":[0.9950665,0.0026927008,0.0008924801,0.00028724794,0.0006660997,0.00039495446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011038218,0.00031021275,0.00042600255,0.0013367509,0.00055161753,0.0018932411,0.00068970653,0.0006306136,0.004007854],"category_scores_gemma":[0.0054710414,0.00030486402,0.0006330141,0.0017395464,0.0007991052,0.00075590645,0.0009816801,0.000536961,0.0007638195],"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":[0.00041646184,0.000038481343,0.98785365,0.000021598617,0.00031663867,0.00014675088,0.00034408274,0.0014813789,0.0012113064,0.00056440977,0.00045496153,0.007150427],"study_design_scores_gemma":[0.0000067624164,0.00003469819,0.9977717,0.000015530162,0.00007777569,0.000020705076,0.0003743865,0.0011411906,0.00013359376,0.00013046559,0.00028334092,0.000009774613],"about_ca_topic_score_codex":0.12807305,"about_ca_topic_score_gemma":0.092325486,"teacher_disagreement_score":0.12807305,"about_ca_system_score_codex":0.001004859,"about_ca_system_score_gemma":0.0011094777,"threshold_uncertainty_score":0.25465512},"labels":[],"label_agreement":null},{"id":"W2985967788","doi":"","title":"Atmospheric photochemistry at a fatty acid coated air/water interface","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Chemistry; Photochemistry; Monolayer; Aqueous solution; Ozone; Absorption (acoustics); Aqueous two-phase system; Particle (ecology); Molecule; Phase (matter); Organic chemistry; Materials science","score_opus":0.01599869877533302,"score_gpt":0.22155830841490456,"score_spread":0.20555960963957154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2985967788","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961851,0.0003444669,0.0010270337,0.000023103144,0.000016937183,0.000009544991,0.000099892946,0.000051243125,0.0022425097],"genre_scores_gemma":[0.99684227,0.00022434573,0.0011655522,0.000022679884,0.000008580299,0.0000067267106,0.00012068532,0.000013913618,0.0015953664],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99989974,0.0000069661487,0.0000026583652,0.000029512443,0.00003319211,0.000027984994],"domain_scores_gemma":[0.99995375,0.000010315414,0.00000944093,0.0000036739063,0.000014686461,0.000008201374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009185461,0.00026045152,0.0001599197,0.00016517282,0.0003047129,0.00032795523,0.00022905834,0.00022686506,0.001882373],"category_scores_gemma":[0.000082236555,0.00015440358,0.00016513062,0.00014092501,0.00015499938,0.00022483636,0.00029106656,0.00031108438,0.00033254785],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035265806,0.000007643877,0.00038402271,0.000014712631,0.00000285011,0.00004676717,0.000017970731,0.00005450856,0.99869174,0.000040996656,0.00003476286,0.0006687815],"study_design_scores_gemma":[0.00000972786,0.00011341701,0.0056020822,0.0000024559924,0.00000911084,0.000056914472,0.00004341518,0.001124409,0.9922437,0.00003533836,0.00075511576,0.000004374077],"about_ca_topic_score_codex":0.0019730004,"about_ca_topic_score_gemma":0.0017306191,"teacher_disagreement_score":0.0019730004,"about_ca_system_score_codex":0.00029676943,"about_ca_system_score_gemma":0.0001347754,"threshold_uncertainty_score":0.006297171},"labels":[],"label_agreement":null},{"id":"W2986899500","doi":"","title":"A Seismic Refraction Analysis of the Flemish Cap Continental Margin (E Canada): New Evidence for Asymmetric Rifting from Goban Spur (NW Europe)","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Flemish; Rift; Continental margin; Margin (machine learning); Seismology; Refraction; Geography; Tectonics; Archaeology","score_opus":0.040194327314411644,"score_gpt":0.25511312809764786,"score_spread":0.21491880078323622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2986899500","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99134314,0.00023181857,0.00019461413,0.0000757364,0.000008955485,0.000016052421,0.0010745073,0.00001436574,0.007040755],"genre_scores_gemma":[0.99728096,0.00011105033,0.000403818,0.00002086781,0.0000033824456,0.000004078133,0.0007743814,0.0000073227893,0.0013941445],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99983466,0.0000046751284,0.000006652065,0.000027914512,0.00006520943,0.00006082414],"domain_scores_gemma":[0.9996557,0.000016578251,0.00004653612,0.000013702237,0.00020963463,0.00005780643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013648786,0.00030747033,0.00021346522,0.0021911904,0.0014472924,0.0008405352,0.00047733553,0.00038064978,0.001829575],"category_scores_gemma":[0.000524096,0.00019849907,0.00017019552,0.0033358922,0.00056735025,0.00024676448,0.00048604017,0.00033947552,0.00032482366],"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":[0.00038677172,0.00009189823,0.8911638,0.00008417628,0.000110172754,0.0017619331,0.0025470543,0.003063108,0.06040249,0.0009575012,0.0021750196,0.03725602],"study_design_scores_gemma":[0.0000064847,0.000011817533,0.9956721,0.000011003361,0.000019780904,0.00013618362,0.0006811785,0.0007757171,0.0008178946,0.000032589134,0.0018277302,0.000007540318],"about_ca_topic_score_codex":0.9539924,"about_ca_topic_score_gemma":0.9825529,"teacher_disagreement_score":0.046007574,"about_ca_system_score_codex":0.004162582,"about_ca_system_score_gemma":0.006497051,"threshold_uncertainty_score":0.09255701},"labels":[],"label_agreement":null},{"id":"W2987284017","doi":"","title":"Physical characteristics, chemical composition and water contamination potential from Canadian wildfire ash","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Coal and Its By-products","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Contamination; Environmental science; Composition (language); Chemical composition; Water contamination; Environmental chemistry; Chemistry; Ecology","score_opus":0.013388290568355849,"score_gpt":0.20859713163280483,"score_spread":0.19520884106444897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2987284017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975387,0.00010749283,0.000097390555,0.00001169394,0.0000023341267,0.000009909481,0.00084885873,0.000005418448,0.0013782445],"genre_scores_gemma":[0.9968027,0.00013810727,0.00015704594,0.000018945477,9.129891e-7,0.00000474672,0.00080109964,0.000005143551,0.0020712516],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99974877,0.000003644864,0.000008980077,0.000037310736,0.00014754698,0.00005384636],"domain_scores_gemma":[0.99971384,0.000015809079,0.000019263432,0.0000051695647,0.0002144063,0.000031511434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018502733,0.00024430966,0.00019481666,0.0009868898,0.0021386314,0.0007379235,0.00048102342,0.00026297668,0.0014173007],"category_scores_gemma":[0.0002724815,0.00015868447,0.00019711077,0.00087334734,0.00035763008,0.00029334935,0.00020977647,0.00023834867,0.00019973656],"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":[0.00063941325,0.0001586771,0.800148,0.00009767482,0.00010046463,0.0003923663,0.00081814884,0.0017122442,0.1739929,0.0002257895,0.0011545772,0.02055973],"study_design_scores_gemma":[0.00000446076,0.000058847938,0.9674224,0.000007591672,0.00003763381,0.00009270334,0.0010026341,0.0009960015,0.028947255,0.000044847864,0.0013701816,0.00001541216],"about_ca_topic_score_codex":0.9338714,"about_ca_topic_score_gemma":0.96792865,"teacher_disagreement_score":0.06612861,"about_ca_system_score_codex":0.004887365,"about_ca_system_score_gemma":0.0037853876,"threshold_uncertainty_score":0.13303608},"labels":[],"label_agreement":null},{"id":"W2988258261","doi":"","title":"Muted response of fine-grained sediment to a wildfire in British Columbia: the role of landscape disturbances and driving forces","year":2012,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sediment; Physical geography; Geology; Geography; Environmental science; Geomorphology","score_opus":0.0054405414807451495,"score_gpt":0.20511938131785248,"score_spread":0.19967883983710732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2988258261","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994505,0.000032991487,0.000016888918,0.000038205737,0.0000022625477,0.0000025730685,0.00019608469,0.000003092079,0.00025732772],"genre_scores_gemma":[0.99936193,0.000020451971,0.00002188926,0.000019682182,8.1674415e-7,0.0000021304936,0.00012176105,0.0000032989615,0.00044806485],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997645,0.00003213383,0.000016923217,0.000068525056,0.000039890983,0.000078001445],"domain_scores_gemma":[0.9987509,0.00018495048,0.00016164224,0.000081576785,0.00051038765,0.000310384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032530836,0.00018793982,0.00025219322,0.00060122076,0.001053894,0.00083352573,0.0007393845,0.00071707345,0.0025216783],"category_scores_gemma":[0.0018419324,0.00029415172,0.000194103,0.0008451746,0.00062169257,0.00023692333,0.000667519,0.0005827006,0.00027125105],"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":[0.0006696927,0.00014807715,0.9850369,0.000017685865,0.0001315505,0.00024388751,0.0007009249,0.0009556855,0.0056196614,0.000052428783,0.0006575933,0.0057658437],"study_design_scores_gemma":[0.0000021501442,0.000008512683,0.99922097,0.0000019424933,0.000007390103,0.000012103048,0.00036974132,0.00023323463,0.000059353486,0.0000097141165,0.00007182526,0.0000031202205],"about_ca_topic_score_codex":0.9255094,"about_ca_topic_score_gemma":0.96925014,"teacher_disagreement_score":0.07449061,"about_ca_system_score_codex":0.004258021,"about_ca_system_score_gemma":0.0028916853,"threshold_uncertainty_score":0.14985853},"labels":[],"label_agreement":null},{"id":"W2989562912","doi":"","title":"Interactions between pre-commercial thinning and climate in controlling black spruce productivity in two climate regimes of Québec, Canada.","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Forest ecology and management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Thinning; Productivity; Black spruce; Environmental science; Climate change; Forestry; Climatology; Geography; Taiga; Economics; Ecology; Geology; Biology","score_opus":0.016093866742530032,"score_gpt":0.2706216397701573,"score_spread":0.25452777302762725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989562912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954464,0.0008464246,0.00015357546,0.000525059,0.000018237006,0.000019535024,0.0013054208,0.000013767905,0.0016715432],"genre_scores_gemma":[0.9968988,0.00015586586,0.00017321922,0.0001320496,0.00000436817,0.000010680794,0.0005631642,0.000007849062,0.002054072],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99950206,0.00011377033,0.000018922306,0.00010268095,0.000058759644,0.00020382895],"domain_scores_gemma":[0.99820983,0.00040624483,0.00021350103,0.00005290128,0.00055379065,0.00056369463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092521345,0.00038617602,0.00031961073,0.00043347236,0.0016836887,0.0010201941,0.0013040365,0.00065302994,0.0029683656],"category_scores_gemma":[0.0015584269,0.0001889871,0.00044457446,0.00067922415,0.00091349805,0.00030764684,0.00048470212,0.00069318246,0.0002065727],"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":[0.00060985226,0.00018521283,0.980041,0.000040704916,0.00029299213,0.00015223213,0.00075636554,0.0013895143,0.0029748054,0.0003048229,0.003431921,0.009820632],"study_design_scores_gemma":[0.0000073571373,0.000016819582,0.9981887,0.00000826448,0.000028867114,0.0000086638265,0.00050384214,0.00061144854,0.00006406624,0.000019207704,0.00053643464,0.000006333588],"about_ca_topic_score_codex":0.99451065,"about_ca_topic_score_gemma":0.9983291,"teacher_disagreement_score":0.021122146,"about_ca_system_score_codex":0.021122146,"about_ca_system_score_gemma":0.017033745,"threshold_uncertainty_score":0.1532526},"labels":[],"label_agreement":null},{"id":"W2989566173","doi":"","title":"Evaluation of the compound-specific stable isotope (CSSI) technique in an agricultural watershed in Manitoba, Canada","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Watershed; Agriculture; Stable isotope ratio; Environmental science; Water resource management; Geography; Computer science; Archaeology","score_opus":0.0595611587264295,"score_gpt":0.24266888333667527,"score_spread":0.18310772461024577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989566173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994474,0.0001848974,0.0006933002,0.0002065345,0.000010054467,0.00013679323,0.00044958663,0.000032262134,0.0038124567],"genre_scores_gemma":[0.99215263,0.00035187977,0.004505358,0.00009772233,0.000004252145,0.00005510502,0.00030552986,0.000021359272,0.0025060498],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992163,0.00008378338,0.000030816365,0.00015104687,0.0003759596,0.00014208388],"domain_scores_gemma":[0.99883074,0.00011240182,0.00005654496,0.00001519694,0.0008622081,0.00012291355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070485927,0.00040566793,0.00045855387,0.0015207641,0.0049294992,0.0021188678,0.0016152383,0.0005126665,0.0006486551],"category_scores_gemma":[0.00124487,0.0003630598,0.00023938494,0.003159327,0.0015780035,0.00034670235,0.0007317889,0.000481652,0.00017452669],"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":[0.00076785247,0.00055806176,0.8685602,0.0003271169,0.00015191326,0.0024053692,0.009294397,0.004664796,0.050729707,0.0012325064,0.002083439,0.05922459],"study_design_scores_gemma":[0.000057060453,0.00023843945,0.95862335,0.000053542175,0.0001239368,0.00029412837,0.013548652,0.010884447,0.009853565,0.00022437584,0.006041045,0.00005746944],"about_ca_topic_score_codex":0.9912875,"about_ca_topic_score_gemma":0.99736315,"teacher_disagreement_score":0.03288739,"about_ca_system_score_codex":0.03288739,"about_ca_system_score_gemma":0.034120888,"threshold_uncertainty_score":0.23861587},"labels":[],"label_agreement":null},{"id":"W2989643004","doi":"","title":"Hydrogeological controls on post-fire moss recovery in peatlands","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Peatlands and Wetlands Ecology","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":true,"ca_institutions":"University of Alberta; University of Waterloo; McMaster University","funders":"","keywords":"Sphagnum; Peat; Moss; Environmental science; Boreal; Hydrology (agriculture); Vegetation (pathology); Water table; Ecology; Groundwater; Geology; Biology","score_opus":0.028180587118563753,"score_gpt":0.2513616249712497,"score_spread":0.22318103785268595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989643004","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995363,0.000033755114,0.000063676445,0.0000057386565,8.4518626e-7,0.000002877696,0.00007249912,0.0000046541895,0.0002797022],"genre_scores_gemma":[0.99966145,0.000018211036,0.00008293903,0.0000062227173,7.642625e-7,0.0000022886684,0.000103982726,0.0000016804069,0.00012255537],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99985003,0.000017892398,0.0000076079473,0.000036282403,0.00003064044,0.00005756403],"domain_scores_gemma":[0.99963963,0.000042601925,0.000112304624,0.00001910511,0.00006566308,0.00012078612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023484971,0.00018053563,0.00017815575,0.0005179807,0.00048265114,0.0007845586,0.0003064306,0.00015957591,0.0008065822],"category_scores_gemma":[0.00035248784,0.00012407181,0.00017039038,0.00034011758,0.0006835115,0.00022390472,0.00042676646,0.0001964979,0.00007726862],"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":[0.00036710434,0.000086579086,0.9360005,0.000036222184,0.00006938577,0.00021878486,0.0005640052,0.0014133763,0.056015935,0.000155968,0.0001455767,0.0049265083],"study_design_scores_gemma":[8.914378e-7,0.000011197873,0.9992673,0.0000011373905,0.0000024823332,0.000012398794,0.00017688452,0.00020672365,0.0002364727,0.000016368967,0.000065960965,0.0000022583283],"about_ca_topic_score_codex":0.15969361,"about_ca_topic_score_gemma":0.42505524,"teacher_disagreement_score":0.15969361,"about_ca_system_score_codex":0.002010033,"about_ca_system_score_gemma":0.0006852389,"threshold_uncertainty_score":0.31752813},"labels":[],"label_agreement":null},{"id":"W2989697759","doi":"","title":"The Labrador Sea during the Last Glacial Maximum: Calcite dissolution or low biogenic carbonate fluxes?","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Calcite; Glacial period; Carbonate; Geology; Dissolution; Mineralogy; Oceanography; Geochemistry; Paleontology; Chemistry","score_opus":0.026950218048866676,"score_gpt":0.2684015670952702,"score_spread":0.2414513490464035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989697759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970668,0.0007887657,0.00001592347,0.00046157523,0.000012367538,0.0000018818118,0.00036964737,0.000006687438,0.0012763188],"genre_scores_gemma":[0.998917,0.00031882222,0.000027262702,0.000108013395,0.000022739512,0.0000012041894,0.00032669614,0.0000068408635,0.0002715459],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99983156,0.0000248457,0.000017179416,0.000036680645,0.000012910226,0.000076883254],"domain_scores_gemma":[0.99953413,0.00006976461,0.00021010268,0.000029717812,0.00007134755,0.00008501732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006457945,0.00025406046,0.000595371,0.00081772555,0.0005324262,0.0018570201,0.0005421501,0.00080279127,0.0026812102],"category_scores_gemma":[0.0012639704,0.00022713082,0.0004031411,0.001293121,0.00083236257,0.0008559761,0.00051356055,0.00041663207,0.0004531991],"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":[0.0006001819,0.000035614736,0.98657274,0.00008068898,0.000203707,0.00023854495,0.00057258125,0.00012587171,0.002381726,0.00019805042,0.00064817606,0.0083421],"study_design_scores_gemma":[0.000008730076,0.000012683375,0.9989235,0.000012075651,0.000031595202,0.000025234945,0.00041203367,0.000057131416,0.000105957144,0.000022006723,0.000386158,0.000002971324],"about_ca_topic_score_codex":0.17122346,"about_ca_topic_score_gemma":0.29154563,"teacher_disagreement_score":0.82877654,"about_ca_system_score_codex":0.0013883163,"about_ca_system_score_gemma":0.0013412711,"threshold_uncertainty_score":0.34045368},"labels":[],"label_agreement":null},{"id":"W2989710125","doi":"","title":"Cretaceous joints in southeastern Canada: dating calcite-filled fractures","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Calcite; Cretaceous; Paleontology","score_opus":0.01865472112957831,"score_gpt":0.256192602560334,"score_spread":0.2375378814307557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989710125","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9871587,0.0017734141,0.00065449334,0.00018329419,0.000023921266,0.000053067244,0.0020707308,0.000068995265,0.008013406],"genre_scores_gemma":[0.99221003,0.00070643896,0.0012470018,0.00004991419,0.0000044781614,0.00001059288,0.00063935906,0.000023048402,0.0051091593],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995813,0.000011072952,0.000015064441,0.00007510745,0.00017891284,0.0001386876],"domain_scores_gemma":[0.9989876,0.000036185276,0.00007373289,0.00001813784,0.00077985995,0.00010442853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030390406,0.00049141305,0.00034573424,0.003243351,0.0038223004,0.0015911433,0.0011221953,0.0006347785,0.0017467611],"category_scores_gemma":[0.0007719303,0.00031283408,0.0002351569,0.0044465745,0.0008488132,0.0004804923,0.00053841417,0.00042912294,0.00037738006],"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":[0.0003337795,0.00008502473,0.90681255,0.00014858418,0.000109162975,0.00069270394,0.0040370263,0.0018356158,0.012771876,0.00052300974,0.0026194481,0.0700312],"study_design_scores_gemma":[0.000012204668,0.000022945203,0.9874792,0.00006382195,0.000055538225,0.00017716658,0.0033053656,0.0012197117,0.0020400193,0.00007216901,0.0055373856,0.000014554485],"about_ca_topic_score_codex":0.9960219,"about_ca_topic_score_gemma":0.9991186,"teacher_disagreement_score":0.016903896,"about_ca_system_score_codex":0.016903896,"about_ca_system_score_gemma":0.023375664,"threshold_uncertainty_score":0.12264687},"labels":[],"label_agreement":null},{"id":"W2989795227","doi":"","title":"In situ observations of ocean productivity using the SeaCycler mooring in the central Labrador Sea","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Oceanography; Mooring; Geology; Productivity; Climatology","score_opus":0.1167686599267735,"score_gpt":0.2760510455397381,"score_spread":0.1592823856129646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989795227","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991829,0.00002552119,0.00005301596,0.00000842933,0.0000022317402,0.0000029812677,0.0002962175,0.000012437905,0.00041624217],"genre_scores_gemma":[0.99910456,0.000037923855,0.00020214805,0.000007606698,0.000003656754,0.000004657737,0.000382392,0.000004587651,0.00025234264],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99980634,0.000020517418,0.00001533533,0.0000688902,0.000038980434,0.000049929964],"domain_scores_gemma":[0.99979407,0.000023745328,0.00006237473,0.000019418076,0.000057930218,0.000042511136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002611943,0.00038339812,0.00032104665,0.00091015146,0.0004957764,0.00063914637,0.0005445666,0.00039867515,0.00043209444],"category_scores_gemma":[0.00038282052,0.00026363216,0.00031182403,0.0011412797,0.00041486174,0.0004097221,0.0005553333,0.00023819193,0.00021675456],"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":[0.0008383846,0.0002936025,0.92969126,0.00007618458,0.00034703047,0.00023149754,0.0010478314,0.003930798,0.04484311,0.00010255256,0.0005694902,0.018028073],"study_design_scores_gemma":[0.000018577255,0.000045797577,0.99686384,0.000006365775,0.000027401491,0.000020347803,0.0002063673,0.0012861035,0.0012245254,0.000009051569,0.00028552001,0.0000060595685],"about_ca_topic_score_codex":0.21366519,"about_ca_topic_score_gemma":0.31109205,"teacher_disagreement_score":0.21366519,"about_ca_system_score_codex":0.0009689817,"about_ca_system_score_gemma":0.0008179917,"threshold_uncertainty_score":0.424843},"labels":[],"label_agreement":null},{"id":"W2989829250","doi":"","title":"Extratropical Transitions in Atlantic Canada: Impacts and Adaptive Responses","year":2013,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Extratropical cyclone; Environmental science; Climatology; Geology","score_opus":0.02207478908038522,"score_gpt":0.24113843484265016,"score_spread":0.21906364576226495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989829250","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932381,0.00021698054,0.000047546535,0.00087666645,0.000019088233,0.000014664824,0.00037634902,0.000008510725,0.0052021677],"genre_scores_gemma":[0.99752814,0.00022637591,0.000045161807,0.00017701725,0.0000055616683,0.0000068171908,0.00022532567,0.000004570739,0.0017810285],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995054,0.000038443988,0.000008318902,0.00005128493,0.00007081202,0.0003257987],"domain_scores_gemma":[0.9988582,0.00006034197,0.00010809494,0.000029141313,0.0004109155,0.0005333142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003321163,0.0002484406,0.00030671965,0.0006947781,0.0040985416,0.002045468,0.0011003577,0.00066978985,0.004041097],"category_scores_gemma":[0.0015902102,0.00013820623,0.00029646713,0.0014690469,0.001434019,0.0004658423,0.0021602982,0.000775015,0.00024350178],"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":[0.0010143316,0.0002283965,0.93235743,0.000098523335,0.00016797689,0.0003811398,0.015257089,0.0022973334,0.0025746278,0.0025014514,0.007048452,0.036073327],"study_design_scores_gemma":[0.00001021967,0.000019830157,0.979539,0.0000261126,0.000017241115,0.000013215225,0.016688254,0.00031419942,0.000081444414,0.00016599265,0.0031118903,0.000012594769],"about_ca_topic_score_codex":0.9926444,"about_ca_topic_score_gemma":0.9979767,"teacher_disagreement_score":0.027499542,"about_ca_system_score_codex":0.027499542,"about_ca_system_score_gemma":0.03178919,"threshold_uncertainty_score":0.19952404},"labels":[],"label_agreement":null},{"id":"W2989921061","doi":"","title":"Forest fires and their effect on soil carbon turnover - comparison of permafrost and non-permafrost areas from Canada","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Permafrost; Soil carbon; Environmental science; Physical geography; Carbon fibers; Carbon cycle; Soil water; Earth science; Soil science; Geology; Geography; Ecosystem; Ecology; Oceanography","score_opus":0.023371452103308724,"score_gpt":0.2394730143786168,"score_spread":0.21610156227530808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989921061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962437,0.00030965946,0.000034007833,0.00007064937,0.00000342372,0.0000065204117,0.002322847,0.0000052592327,0.0010040586],"genre_scores_gemma":[0.99770576,0.0002153308,0.00005898438,0.0000227844,0.0000016826706,0.0000031668967,0.0011938257,0.0000032548664,0.00079529727],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99973446,0.000019230682,0.000014918338,0.00003404579,0.000081852115,0.00011551036],"domain_scores_gemma":[0.99883395,0.00010209682,0.00012085393,0.000026613665,0.0006307534,0.00028574918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028614144,0.00021107677,0.00028397402,0.0012387377,0.0014273878,0.0009048415,0.0007298194,0.00024671506,0.0017392393],"category_scores_gemma":[0.0008785257,0.00016667343,0.00039346376,0.002721274,0.00045318183,0.00025914563,0.0004299093,0.0002715691,0.00014294179],"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":[0.00027867386,0.00002968416,0.989897,0.000039355702,0.0001282036,0.00013532,0.0007246461,0.0004919301,0.0011033781,0.00013030824,0.0006697804,0.006371734],"study_design_scores_gemma":[0.0000027428198,0.000005013422,0.99865085,0.00000537308,0.000017532055,0.000023318727,0.0006059243,0.00017954415,0.000094869174,0.000007011133,0.00040459336,0.0000032379398],"about_ca_topic_score_codex":0.99592507,"about_ca_topic_score_gemma":0.9981889,"teacher_disagreement_score":0.015592092,"about_ca_system_score_codex":0.015592092,"about_ca_system_score_gemma":0.01564232,"threshold_uncertainty_score":0.11312908},"labels":[],"label_agreement":null},{"id":"W2989969329","doi":"","title":"Spatiotemporal heterogeneity in carbon exchange at a restored peatland in Alberta, Canada","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Peat; Carbon fibers; Physical geography; Geology; Environmental science; Geography; Archaeology; Computer science","score_opus":0.021503803340164312,"score_gpt":0.24638256397187608,"score_spread":0.22487876063171178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989969329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985765,0.00009226552,0.000051814994,0.00009601218,0.000003635892,0.0000060611,0.0004939273,0.000010555857,0.0006691094],"genre_scores_gemma":[0.9991959,0.000053816526,0.00008671531,0.00001729955,0.0000013835779,0.0000028049844,0.00024690977,0.0000027942513,0.00039231897],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997733,0.000015895015,0.000011645133,0.000054533048,0.000048873786,0.00009572282],"domain_scores_gemma":[0.9995321,0.00004919303,0.00005508717,0.000018802026,0.00023784986,0.00010709308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003109806,0.000179216,0.00037888435,0.000924545,0.0020310518,0.0014970867,0.0008252945,0.0005078921,0.0010259316],"category_scores_gemma":[0.00064317515,0.00022258266,0.00027768288,0.0018218098,0.001078037,0.00040682257,0.0006806973,0.00034091895,0.00011742302],"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":[0.00080316886,0.0001871266,0.9636479,0.00008832991,0.00018122894,0.0007895749,0.00311065,0.005406381,0.009433748,0.00067282334,0.0023783413,0.013300697],"study_design_scores_gemma":[0.000007646558,0.000007678404,0.9963026,0.000007878518,0.000015651802,0.000026687147,0.0012488384,0.0017255136,0.00014628323,0.000037574984,0.0004625142,0.000011166291],"about_ca_topic_score_codex":0.9897189,"about_ca_topic_score_gemma":0.9949215,"teacher_disagreement_score":0.013656938,"about_ca_system_score_codex":0.013656938,"about_ca_system_score_gemma":0.011029189,"threshold_uncertainty_score":0.09908849},"labels":[],"label_agreement":null},{"id":"W2989975980","doi":"","title":"Threshold responses in regional runoff from a heterogeneous low relief terrain - Western Canada's Boreal Plains","year":2014,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Boreal; Surface runoff; Terrain; Physical geography; Hydrology (agriculture); Geography; Environmental science; Geology; Cartography; Archaeology; Ecology","score_opus":0.01577066306800116,"score_gpt":0.22709129030042566,"score_spread":0.2113206272324245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989975980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99878746,0.000018968958,0.000057099125,0.000031708943,0.0000012069328,0.000008246677,0.00021817682,0.000013386648,0.0008638102],"genre_scores_gemma":[0.99950695,0.0000129527425,0.000045026387,0.000011097171,4.8445906e-7,0.0000030575134,0.00016830339,0.000003478316,0.00024860894],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976104,0.00001192708,0.000010267008,0.000051702056,0.00006425815,0.00010085134],"domain_scores_gemma":[0.9996394,0.000046332232,0.000028433908,0.000011792627,0.00018974015,0.00008423339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001779208,0.00015790306,0.000380253,0.0005959024,0.0014412799,0.001038217,0.0005056358,0.00036208954,0.0010764479],"category_scores_gemma":[0.00076633913,0.00018432106,0.00022175378,0.0008554449,0.0006519234,0.0002479867,0.00048310796,0.0003279158,0.00012744927],"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":[0.001210195,0.00045892032,0.8850461,0.00009899895,0.00013977809,0.0006330506,0.0019656727,0.021886075,0.06906721,0.00078804634,0.0023645393,0.01634147],"study_design_scores_gemma":[0.000011695676,0.000016306678,0.993816,0.000003837628,0.000010261685,0.000027321727,0.00081182417,0.004432207,0.0005753677,0.00005862222,0.00022636351,0.000010264004],"about_ca_topic_score_codex":0.9550984,"about_ca_topic_score_gemma":0.9693675,"teacher_disagreement_score":0.04490161,"about_ca_system_score_codex":0.0074541,"about_ca_system_score_gemma":0.005064598,"threshold_uncertainty_score":0.09033203},"labels":[],"label_agreement":null},{"id":"W2990031063","doi":"","title":"Spectral gamma-ray evaluation of Lower Jurassic basalts and lacustrine sediments from the Fundy Basin (Nova Scotia, Canada)","year":2014,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Geology; Basalt; Structural basin; Nova (rocket); Geochemistry; Paleontology; Oceanography; Archaeology; Geography","score_opus":0.027926272105231856,"score_gpt":0.22521442865977928,"score_spread":0.19728815655454743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990031063","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971117,0.00020755878,0.000054745895,0.000017145365,0.0000020169307,0.00000825136,0.00105398,0.000007538326,0.0015371022],"genre_scores_gemma":[0.99688584,0.00019430487,0.00014657268,0.000020583435,0.0000015541839,0.0000046331093,0.0009187407,0.0000074185145,0.0018203136],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998596,0.0000050708763,0.000011026499,0.000029498762,0.000049381586,0.000045426244],"domain_scores_gemma":[0.9995171,0.000026401138,0.000048455597,0.000012082263,0.00033362757,0.00006233516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015669508,0.00037872148,0.0002491755,0.0035323077,0.0016729175,0.0009814603,0.00041458575,0.00028397865,0.0014186957],"category_scores_gemma":[0.00045520414,0.00024826016,0.00016036957,0.0029202767,0.00055996573,0.00016152223,0.00045740925,0.00020081222,0.00031853357],"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":[0.0006890576,0.00005248599,0.9161398,0.0001384215,0.000097747885,0.00091703347,0.0022653362,0.0013095133,0.060354073,0.0001324571,0.0006247723,0.017279334],"study_design_scores_gemma":[0.0000037748687,0.000008803515,0.99810165,0.0000057019693,0.000010889079,0.000055830802,0.00041434218,0.000117933276,0.00081719406,0.0000050105123,0.00045670886,0.0000022909933],"about_ca_topic_score_codex":0.9503368,"about_ca_topic_score_gemma":0.9761421,"teacher_disagreement_score":0.049663186,"about_ca_system_score_codex":0.0043079006,"about_ca_system_score_gemma":0.0030055873,"threshold_uncertainty_score":0.09991127},"labels":[],"label_agreement":null},{"id":"W2990032433","doi":"","title":"Urban Air Quality Forecasting in Canada","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Air quality index; Quality (philosophy); Environmental science; Meteorology; Geography","score_opus":0.058846666123292805,"score_gpt":0.261268539766416,"score_spread":0.2024218736431232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990032433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8553437,0.0058511407,0.0055769477,0.011524064,0.00050574297,0.00014236847,0.05350414,0.001008782,0.06654308],"genre_scores_gemma":[0.95965254,0.0019559523,0.0021342607,0.00017422525,0.00004112412,0.000021930648,0.012389381,0.00008447478,0.023546109],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952173,0.000031730804,0.000024679213,0.00007479583,0.00022445738,0.00012264111],"domain_scores_gemma":[0.99845374,0.000071944996,0.000062915366,0.000032002274,0.0012438974,0.00013545352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066649454,0.00043754937,0.00037077573,0.0020302169,0.0019117639,0.0019596769,0.0008597784,0.0004546599,0.0043574516],"category_scores_gemma":[0.0016792126,0.00024392121,0.00048600908,0.005491373,0.00027059834,0.00057697075,0.00047729848,0.00066679,0.00064329617],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045260414,0.00024249397,0.52736634,0.00025864827,0.00021483294,0.0002927913,0.0009730598,0.103618115,0.00089215446,0.005920134,0.15666986,0.20309892],"study_design_scores_gemma":[0.00006712608,0.000045510136,0.6636316,0.0001853057,0.00012428491,0.000053199234,0.0035533833,0.2347535,0.0011810755,0.0011667679,0.095152706,0.0000855582],"about_ca_topic_score_codex":0.99846256,"about_ca_topic_score_gemma":0.9989992,"teacher_disagreement_score":0.037136067,"about_ca_system_score_codex":0.037136067,"about_ca_system_score_gemma":0.047079287,"threshold_uncertainty_score":0.26944226},"labels":[],"label_agreement":null},{"id":"W2990108613","doi":"","title":"Frequency-dependent streaming potential of porous media: Experimental measurement of Ottawa sand, Lochaline sand and quartz glass beads","year":2013,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quartz; Mineralogy; Geology; Porous medium; Porosity; Bead; Geotechnical engineering; Materials science; Composite material","score_opus":0.020605368039326534,"score_gpt":0.22446496834569377,"score_spread":0.20385960030636724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990108613","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993211,0.00003144362,0.00020895498,0.00000866881,0.0000012971539,0.0000049194114,0.00007972791,0.000007974058,0.00033588448],"genre_scores_gemma":[0.99918216,0.0000453914,0.00041017626,0.000002755351,8.161885e-7,0.0000039540237,0.000056433164,0.0000018005491,0.00029645526],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99987376,0.0000060827124,0.0000073689953,0.000025090532,0.000050354723,0.000037306145],"domain_scores_gemma":[0.99965906,0.00011209216,0.000049252325,0.00002203091,0.00009299948,0.000064642925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013745068,0.00017983105,0.00016884744,0.00040840093,0.0006726175,0.00039455885,0.0004273806,0.00027697082,0.00074345066],"category_scores_gemma":[0.00045702155,0.00018655723,0.00013884105,0.00041552153,0.0008056401,0.00025792082,0.00033838517,0.0003402783,0.00007367089],"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":[0.00031982615,0.000033133052,0.0068562464,0.00003431857,0.000010251091,0.0000932743,0.00024400384,0.0006784869,0.98968,0.0001772574,0.00005507126,0.0018181432],"study_design_scores_gemma":[0.000025184992,0.000440067,0.14623053,0.000008211832,0.000044356097,0.00020274757,0.0007655529,0.0070300815,0.8445002,0.00009216752,0.00062454335,0.000036426773],"about_ca_topic_score_codex":0.08392134,"about_ca_topic_score_gemma":0.095993705,"teacher_disagreement_score":0.08392134,"about_ca_system_score_codex":0.00096931774,"about_ca_system_score_gemma":0.0009101402,"threshold_uncertainty_score":0.1668657},"labels":[],"label_agreement":null},{"id":"W2990250003","doi":"","title":"Numerical analysis of temperature distribution due to basement radiogenic heat production, St. Lawrence Lowlands, eastern Canada","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Radiogenic nuclide; Geology; Basement; Distribution (mathematics); Production (economics); Archaeology; Geography; Geochemistry; Mantle (geology)","score_opus":0.01617487413140894,"score_gpt":0.2562567385792278,"score_spread":0.24008186444781887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990250003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897961,0.00011901464,0.00072610204,0.0002506684,0.00001655491,0.000016653341,0.0013897637,0.00010384611,0.0075813606],"genre_scores_gemma":[0.99659085,0.00005412678,0.00040223857,0.000021840475,0.0000023374798,0.000008733678,0.00047762092,0.000017105616,0.0024250979],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986875,0.000010277736,0.0000053753915,0.000022679922,0.000029084516,0.00006386496],"domain_scores_gemma":[0.99958175,0.00012089057,0.000032717006,0.000015187756,0.00018140106,0.000068035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018410712,0.00031723102,0.0003111879,0.0005706417,0.0013712334,0.0011753936,0.0011133793,0.0007404813,0.0031620206],"category_scores_gemma":[0.0011999289,0.0003607541,0.00047746618,0.0010830681,0.0008191437,0.00030629768,0.00040479604,0.0005819269,0.000190002],"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":[0.00018935495,0.00010281059,0.053658795,0.000049731647,0.000044950953,0.00020815105,0.00015487868,0.93547297,0.0017500949,0.0013192073,0.0021840928,0.00486493],"study_design_scores_gemma":[0.00007733503,0.000030075787,0.04928939,0.000016256872,0.000029998648,0.000021473032,0.00046474044,0.948176,0.0006553885,0.00021171448,0.0009914883,0.00003623735],"about_ca_topic_score_codex":0.9834251,"about_ca_topic_score_gemma":0.97830373,"teacher_disagreement_score":0.01657492,"about_ca_system_score_codex":0.013939828,"about_ca_system_score_gemma":0.009974723,"threshold_uncertainty_score":0.101140976},"labels":[],"label_agreement":null},{"id":"W2990388806","doi":"","title":"Black Carbon characterization in Quebec black spruce forests","year":2012,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"X-ray Spectroscopy and Fluorescence Analysis","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Black spruce; Carbon black; Characterization (materials science); Forestry; Carbon fibers; Environmental science; Geography; Taiga; Mathematics; Chemistry; Physics","score_opus":0.014885622762579032,"score_gpt":0.25587623218816036,"score_spread":0.24099060942558131,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990388806","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947659,0.0004565874,0.000333603,0.000028130406,0.0000049371974,0.000025914154,0.0011626557,0.000024534793,0.003197605],"genre_scores_gemma":[0.9946143,0.0001583168,0.0005972339,0.000035225275,0.0000019854972,0.000015594878,0.0007884191,0.000016350654,0.0037725023],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99971133,0.000010824376,0.0000091596285,0.000080912614,0.00011762368,0.00007007854],"domain_scores_gemma":[0.99961936,0.00002636293,0.000029080507,0.000009392196,0.00027250135,0.000043229036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002916972,0.00039956454,0.00030579756,0.0023679212,0.0025844024,0.0009977163,0.0005665616,0.00036420132,0.001430088],"category_scores_gemma":[0.00021207798,0.00017070619,0.0001835942,0.001448247,0.00037896345,0.00036193873,0.00017826994,0.00024950356,0.00022948615],"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":[0.0011789744,0.00028755475,0.6906049,0.00018137321,0.00027672498,0.00081998255,0.0017410109,0.013018338,0.22418454,0.0006605404,0.0041215075,0.06292442],"study_design_scores_gemma":[0.000012093267,0.00004425842,0.9754853,0.000021656235,0.00003414212,0.00006103906,0.00050677895,0.005719649,0.014195384,0.00003788433,0.0038556228,0.000026140848],"about_ca_topic_score_codex":0.9750328,"about_ca_topic_score_gemma":0.9915207,"teacher_disagreement_score":0.024967194,"about_ca_system_score_codex":0.010080884,"about_ca_system_score_gemma":0.0026985276,"threshold_uncertainty_score":0.07314229},"labels":[],"label_agreement":null},{"id":"W2990420700","doi":"","title":"3D stochastic inversion of gravity data of Lalor volcanogenic massive sulphide, Manitoba, Canada","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Inversion (geology); Geodesy; Seismology; Tectonics","score_opus":0.07286603937851184,"score_gpt":0.2523297415936388,"score_spread":0.17946370221512697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990420700","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9838955,0.00013793756,0.0027504687,0.00033944208,0.00003040742,0.000034751673,0.007176353,0.00059794245,0.005037299],"genre_scores_gemma":[0.9883008,0.00009837043,0.0037202835,0.000031515134,0.0000070104497,0.0000143148945,0.0062134033,0.00006042178,0.0015538434],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998617,0.000010606642,0.000005099991,0.00002994414,0.00004974703,0.000042843003],"domain_scores_gemma":[0.9996526,0.00003684853,0.000019022453,0.000022118977,0.00022530911,0.000043974662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002457387,0.000455409,0.00031890368,0.00089735,0.0008416437,0.0008329489,0.00087397115,0.00039434645,0.0015608595],"category_scores_gemma":[0.0009348886,0.0003258158,0.00045873385,0.0016070366,0.00044279214,0.00023672031,0.00046197738,0.00042847183,0.0003824676],"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":[0.00051518687,0.00027449263,0.24510102,0.00014774574,0.00027167838,0.0005244392,0.00058765756,0.67923045,0.013957572,0.0017722738,0.01127213,0.046345294],"study_design_scores_gemma":[0.00009001075,0.000024072819,0.22227514,0.000036456633,0.00005113187,0.00003609377,0.00053439016,0.76951534,0.002573168,0.00030384917,0.004490861,0.000069591275],"about_ca_topic_score_codex":0.96945757,"about_ca_topic_score_gemma":0.9841653,"teacher_disagreement_score":0.030542433,"about_ca_system_score_codex":0.0059167035,"about_ca_system_score_gemma":0.014040248,"threshold_uncertainty_score":0.06144458},"labels":[],"label_agreement":null},{"id":"W2990515646","doi":"","title":"Permafrost thaw and fire history: implications of boreal tree cover changes on land surface properties and turbulent energy fluxes in the Taiga Plains, Canada","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Permafrost; Taiga; Fire history; Boreal; Environmental science; Physical geography; Land cover; Geology; Climatology; Earth science; Climate change; Land use; Geography; Oceanography; Forestry; Ecology; Paleontology","score_opus":0.020436019559391644,"score_gpt":0.19025779318090674,"score_spread":0.1698217736215151,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990515646","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987294,0.00012525247,0.000029128441,0.000116678566,0.0000044807894,0.0000041179574,0.0005398896,0.0000039027323,0.00044719447],"genre_scores_gemma":[0.9990839,0.00010442704,0.000034083456,0.000027426004,0.0000032596947,0.0000025644829,0.00036117237,0.000003236577,0.00037994405],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99986565,0.0000127776175,0.0000076108086,0.000023736797,0.000026805279,0.00006334256],"domain_scores_gemma":[0.9994667,0.00006869383,0.000082707105,0.000017904824,0.00016628865,0.00019773064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031200066,0.00021133898,0.00026963797,0.00061097334,0.0014528753,0.0010222796,0.00057901675,0.00035094641,0.0017132675],"category_scores_gemma":[0.0009033017,0.00019835036,0.00038083547,0.001175275,0.00071262836,0.00047352695,0.0005358824,0.00046579764,0.00010227468],"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":[0.0001883737,0.00005668656,0.9932886,0.00001336072,0.000076535216,0.00009702733,0.00075026375,0.0005873449,0.0012063184,0.000105123276,0.00050105905,0.0031293505],"study_design_scores_gemma":[0.0000030173287,0.0000024041199,0.99918896,0.0000026245727,0.0000073538145,0.000009173072,0.00041152284,0.00023689024,0.000029221215,0.000010595776,0.00009536399,0.000002886672],"about_ca_topic_score_codex":0.98478043,"about_ca_topic_score_gemma":0.9927804,"teacher_disagreement_score":0.015219569,"about_ca_system_score_codex":0.009902368,"about_ca_system_score_gemma":0.010328567,"threshold_uncertainty_score":0.07184708},"labels":[],"label_agreement":null},{"id":"W2990557546","doi":"","title":"The High Arctic Large Igneous Province Mantle Plume caused uplift of Arctic Canada","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Arctic; Geology; Igneous rock; Plume; Mantle plume; Mantle (geology); The arctic; Earth science; Geochemistry; Oceanography; Lithosphere; Seismology; Tectonics; Meteorology; Geography","score_opus":0.01547712427312215,"score_gpt":0.19263742515858967,"score_spread":0.17716030088546753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990557546","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98369825,0.00021147607,0.00015761841,0.0013287582,0.0000733957,0.000020475052,0.0008852004,0.000032062584,0.013592626],"genre_scores_gemma":[0.99305046,0.0002416259,0.00017242537,0.00020331384,0.000008025314,0.0000048062716,0.00030388177,0.000010679055,0.0060047726],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977356,0.000008131445,0.000005372087,0.000022129587,0.00009101087,0.00009982395],"domain_scores_gemma":[0.99963844,0.000020771151,0.000027137285,0.0000127740805,0.00020742025,0.00009332789],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026261088,0.00020860623,0.00018309543,0.00065776805,0.0043732356,0.0011721641,0.00045963458,0.0005659029,0.0031533826],"category_scores_gemma":[0.0005352956,0.000187031,0.00030197276,0.00079541304,0.00063598,0.00028368126,0.00094730215,0.00086492713,0.00021414264],"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":[0.0014021049,0.00017167686,0.7448019,0.00020782255,0.00023058595,0.010319329,0.008485995,0.0045412304,0.15876912,0.0048840144,0.019825954,0.04636034],"study_design_scores_gemma":[0.00002996228,0.000067249144,0.9322376,0.00005097256,0.00010709408,0.00061832846,0.012947651,0.0021018717,0.016417835,0.00043159144,0.034942467,0.000047261834],"about_ca_topic_score_codex":0.9799477,"about_ca_topic_score_gemma":0.98967,"teacher_disagreement_score":0.020052314,"about_ca_system_score_codex":0.018556591,"about_ca_system_score_gemma":0.023659393,"threshold_uncertainty_score":0.13463813},"labels":[],"label_agreement":null},{"id":"W2990631080","doi":"","title":"Glaciated terrains on the inner continental shelves of Newfoundland, Canada.","year":2013,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Continental shelf; Terrain; Oceanography; Geography; Cartography","score_opus":0.022642443392740404,"score_gpt":0.22268484803533822,"score_spread":0.20004240464259782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990631080","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91879165,0.0023972658,0.0003485206,0.001785578,0.00008243175,0.00009027906,0.03809046,0.00011872391,0.038295005],"genre_scores_gemma":[0.9688308,0.0013314635,0.00081415876,0.00022944328,0.0000107450915,0.00003273112,0.0074313898,0.000031029303,0.021288201],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997919,0.0000121112,0.000008201297,0.000030404346,0.00003169643,0.00012563934],"domain_scores_gemma":[0.99956566,0.000022980643,0.000073165,0.000018607097,0.00019837126,0.00012123059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011994887,0.00022343425,0.0002400354,0.0012695609,0.0026942447,0.0012794227,0.0005317476,0.00020606439,0.0074383323],"category_scores_gemma":[0.00054541905,0.00017023449,0.00017543616,0.0036710037,0.0006966999,0.00037950612,0.0008614624,0.00029970804,0.00057012466],"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":[0.00023660107,0.00006047426,0.84331924,0.00037298474,0.00013516669,0.0008862076,0.0059620137,0.0016069337,0.0022500877,0.002141856,0.06386456,0.07916389],"study_design_scores_gemma":[0.0000032852374,0.00000389331,0.98235095,0.000048936472,0.0000102003405,0.00004988153,0.003554683,0.00013911021,0.000062993,0.000040451236,0.013728763,0.000006814776],"about_ca_topic_score_codex":0.9959927,"about_ca_topic_score_gemma":0.99951756,"teacher_disagreement_score":0.017437525,"about_ca_system_score_codex":0.017437525,"about_ca_system_score_gemma":0.018355904,"threshold_uncertainty_score":0.12651867},"labels":[],"label_agreement":null},{"id":"W2990667744","doi":"","title":"Spatial downscaling and correction of precipitation and temperature time series to high resolution hydrological response units in the Canadian Rocky Mountains","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Downscaling; Precipitation; Climatology; Series (stratigraphy); Environmental science; Climate change; Meteorology; Physical geography; Geography; Geology","score_opus":0.030260770298512638,"score_gpt":0.22691681681366732,"score_spread":0.19665604651515467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990667744","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98318464,0.0007055127,0.00140939,0.0008897927,0.00009043933,0.000056441553,0.008187084,0.0002028166,0.0052738567],"genre_scores_gemma":[0.9866419,0.0003387962,0.003488614,0.0001072987,0.00001919431,0.000025578447,0.005205076,0.000045775407,0.004127831],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99937624,0.00004291668,0.00003659114,0.00015166665,0.0002152518,0.00017737379],"domain_scores_gemma":[0.9979538,0.000086795044,0.00013557433,0.00012477001,0.0015853322,0.00011363971],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072272035,0.00028853657,0.00024423745,0.0013447066,0.0014897429,0.0008432797,0.0010854055,0.000323002,0.0016183393],"category_scores_gemma":[0.0026395859,0.00021117502,0.0003342719,0.0029519321,0.0004319254,0.000308177,0.00052103354,0.00048296756,0.0002793121],"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":[0.00048341847,0.00022097983,0.7188542,0.00021666003,0.0004244729,0.0004227471,0.0019975472,0.03675459,0.011811426,0.0024752663,0.038527057,0.18781166],"study_design_scores_gemma":[0.000020790138,0.000006048971,0.9850701,0.000020188654,0.00003638872,0.000023348244,0.000433823,0.0077403947,0.0006450916,0.000067591835,0.005917557,0.000018738205],"about_ca_topic_score_codex":0.9960289,"about_ca_topic_score_gemma":0.9976628,"teacher_disagreement_score":0.011106019,"about_ca_system_score_codex":0.011106019,"about_ca_system_score_gemma":0.02558053,"threshold_uncertainty_score":0.080580175},"labels":[],"label_agreement":null},{"id":"W2990759806","doi":"","title":"Morphometry and pattern of a large sample of Canadian eskers: new insights into ice sheet meltwater drainage","year":2013,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Meltwater; Ice sheet; Sample (material); Geology; Drainage; Physical geography; Geography; Geomorphology; Glacier; Biology; Ecology; Physics","score_opus":0.03354391745521182,"score_gpt":0.23509383935921885,"score_spread":0.20154992190400703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990759806","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957912,0.0001575574,0.00024924864,0.00005563064,0.0000030149363,0.00001878961,0.002592824,0.00001079403,0.0011210078],"genre_scores_gemma":[0.99522,0.00015990055,0.0004511164,0.000043502572,0.0000029949633,0.000018574607,0.0028723434,0.000015368638,0.0012162186],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996251,0.000021498212,0.000017331444,0.00009776706,0.000113530594,0.00012481246],"domain_scores_gemma":[0.99917394,0.00005412958,0.00012093358,0.000056216017,0.00048304102,0.00011182939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003401074,0.00026240438,0.00032589876,0.0028419192,0.002111182,0.0008779111,0.0009656828,0.0003687703,0.0019040549],"category_scores_gemma":[0.0011077324,0.00020780224,0.0003217358,0.004589058,0.0006833301,0.00031798682,0.0007304529,0.00027440576,0.00033693627],"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":[0.00007636149,0.00002072367,0.9768872,0.000031059484,0.00009075868,0.00006554488,0.0025759377,0.00033882863,0.0036682596,0.00017325871,0.0016565312,0.0144154355],"study_design_scores_gemma":[0.0000010066825,0.0000026938628,0.99832207,0.0000033358353,0.0000074487266,0.00002566858,0.000571991,0.00016232282,0.000088242276,0.000011688045,0.0007993432,0.000004082967],"about_ca_topic_score_codex":0.96901065,"about_ca_topic_score_gemma":0.9918447,"teacher_disagreement_score":0.030989349,"about_ca_system_score_codex":0.0064486642,"about_ca_system_score_gemma":0.0056623803,"threshold_uncertainty_score":0.062343657},"labels":[],"label_agreement":null},{"id":"W2990867813","doi":"","title":"Using FLEXTRA and Flexpart to model MLS observations of pollutants from a forest fire in British Columbia","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Meteorology; Pollutant; Climatology; Geography; Geology; Ecology","score_opus":0.044520865005490975,"score_gpt":0.2533474948075636,"score_spread":0.20882662980207262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990867813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906749,0.00009962465,0.0020286192,0.00023440314,0.00003545424,0.000023463763,0.0037170895,0.00078990404,0.0023965174],"genre_scores_gemma":[0.9949261,0.000037184967,0.0011889179,0.000036071888,0.0000057892466,0.000016205082,0.0023354029,0.00007891029,0.0013753193],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997967,0.00002126474,0.00001267211,0.00007158817,0.000041009735,0.00005686014],"domain_scores_gemma":[0.999524,0.00014038946,0.00003121124,0.00004823426,0.0001933052,0.0000629496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046776433,0.0009515334,0.00052382186,0.00052257435,0.0013891979,0.0014281321,0.0015358223,0.0011766959,0.0018834816],"category_scores_gemma":[0.001511887,0.00081561855,0.0007397012,0.0007468207,0.0005635381,0.0008367622,0.0005678905,0.0011812712,0.00052561966],"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":[0.00023449691,0.00014817418,0.044585984,0.000042097145,0.00015410292,0.00013751198,0.00008738342,0.9428996,0.0020772165,0.0002933351,0.0017363725,0.00760376],"study_design_scores_gemma":[0.000044034507,0.000016862188,0.02067418,0.0000063471,0.00002691008,0.000009010988,0.000064383625,0.9774246,0.0010120646,0.00012835313,0.0005619609,0.000031301137],"about_ca_topic_score_codex":0.91443264,"about_ca_topic_score_gemma":0.8881984,"teacher_disagreement_score":0.085567355,"about_ca_system_score_codex":0.0058402596,"about_ca_system_score_gemma":0.0057784715,"threshold_uncertainty_score":0.1721425},"labels":[],"label_agreement":null},{"id":"W2990959302","doi":"","title":"Revised Late Oligocene to Early Miocene magnetic stratigraphy recorded by drift sediments at Sites U1405 and U1406, IODP Expedition 342 (Newfoundland, NW Atlantic)","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Stratigraphy; Paleontology; Oceanography; Tectonics","score_opus":0.03498750118471479,"score_gpt":0.2550882945821776,"score_spread":0.2201007933974628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990959302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8457499,0.0048065633,0.002347146,0.0021258174,0.0011582336,0.00016887343,0.09318948,0.0002666227,0.050187286],"genre_scores_gemma":[0.9003443,0.0023070371,0.0075596846,0.0009438878,0.000180559,0.00013536496,0.05045161,0.00010212174,0.03797535],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999742,0.00002690866,0.000036173595,0.00005866086,0.00006180578,0.000074382755],"domain_scores_gemma":[0.9979627,0.00006650413,0.00020926581,0.000102088445,0.0015110351,0.00014845113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009000366,0.00036593643,0.00019629154,0.0026969546,0.0010876294,0.00083000946,0.00073403685,0.00023782047,0.0047915867],"category_scores_gemma":[0.0018136762,0.00027584107,0.00016770438,0.003022127,0.00024941558,0.0005350663,0.00047795908,0.0005533445,0.001117708],"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":[0.0006808245,0.00009991789,0.7474647,0.00044213294,0.00010496021,0.0008028135,0.0031587407,0.0015612476,0.008396148,0.00079822826,0.112014435,0.12447572],"study_design_scores_gemma":[0.000011142119,0.000014597567,0.9635849,0.000054915654,0.000012562594,0.00005477412,0.00031523727,0.00010677675,0.00030824772,0.000017229033,0.035515033,0.000004585363],"about_ca_topic_score_codex":0.9107835,"about_ca_topic_score_gemma":0.98071265,"teacher_disagreement_score":0.08921647,"about_ca_system_score_codex":0.005127948,"about_ca_system_score_gemma":0.006887626,"threshold_uncertainty_score":0.17948371},"labels":[],"label_agreement":null},{"id":"W2990965365","doi":"","title":"Possible Origin of High-Amplitude Reflection Packages (HARPs) in the Canada Basin, Arctic Ocean","year":2013,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Reflection (computer programming); Arctic; Geology; The arctic; Oceanography; Climatology; Computer science","score_opus":0.03626242281760078,"score_gpt":0.2357311109672232,"score_spread":0.19946868814962243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990965365","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9850433,0.00021958174,0.001856893,0.0004508538,0.00004386478,0.000040332667,0.000570564,0.00010655844,0.011668084],"genre_scores_gemma":[0.99571437,0.00009108884,0.001501978,0.000048258127,0.00000731575,0.0000061702394,0.00018778763,0.000030721312,0.002412247],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99970585,0.00001557783,0.000008175135,0.00006526224,0.00008064854,0.00012438725],"domain_scores_gemma":[0.9989549,0.00008930164,0.00010060496,0.00006572694,0.0006449899,0.00014441868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048856915,0.00035094694,0.00022190038,0.0013561286,0.0024827938,0.0017231551,0.00096253614,0.00070613436,0.0020500908],"category_scores_gemma":[0.0015651247,0.0004884609,0.0003087443,0.0022558975,0.0020585211,0.00046824774,0.0010787011,0.0006039186,0.0002886923],"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":[0.0006659075,0.00014458425,0.8136427,0.00014349972,0.00015020726,0.0029240253,0.011309927,0.0062572933,0.07577434,0.013478901,0.0037445568,0.07176412],"study_design_scores_gemma":[0.00006053012,0.00008778018,0.9622581,0.0000659108,0.00010927275,0.00043387586,0.0067141913,0.006383395,0.005628705,0.0010609952,0.01713289,0.00006435034],"about_ca_topic_score_codex":0.89765537,"about_ca_topic_score_gemma":0.9137318,"teacher_disagreement_score":0.10234463,"about_ca_system_score_codex":0.006243998,"about_ca_system_score_gemma":0.014912856,"threshold_uncertainty_score":0.20589465},"labels":[],"label_agreement":null},{"id":"W2991060830","doi":"","title":"Methane and carbon dioxide exchange in a post-extraction, unrestored peatland in Eastern Quebec, Canada","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Peat; Carbon dioxide; Extraction (chemistry); Methane; Environmental science; Forestry; Geography; Chemistry; Archaeology","score_opus":0.018465476365706533,"score_gpt":0.25260082307895043,"score_spread":0.2341353467132439,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991060830","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984251,0.00008622422,0.000048342416,0.00008574207,0.000003941582,0.000011039848,0.00065038924,0.00000456254,0.00068459514],"genre_scores_gemma":[0.99770784,0.00008357373,0.00013371166,0.000052528736,0.0000025046725,0.000010802797,0.00048074764,0.0000042803517,0.0015240336],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998386,0.000013043255,0.0000069258463,0.0000384899,0.000032313354,0.0000706144],"domain_scores_gemma":[0.9996686,0.00003580419,0.000032579825,0.000006750455,0.00017779917,0.00007852416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018155984,0.00038308173,0.00044193192,0.00063847203,0.003251417,0.0012185953,0.0010428429,0.000670624,0.0017121865],"category_scores_gemma":[0.00035605757,0.00023988326,0.00030300836,0.0016661674,0.0008267266,0.00044934457,0.00046199322,0.0005308884,0.00025904758],"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":[0.0006072364,0.00037347115,0.9652124,0.00010823563,0.00013546381,0.0014661489,0.006787853,0.0016778106,0.007497513,0.00031624315,0.0024631862,0.013354532],"study_design_scores_gemma":[0.000015920676,0.000022347353,0.9928698,0.000021673724,0.000018735003,0.000065347325,0.0041049975,0.0016042421,0.00028568818,0.000025818426,0.00095009233,0.00001529379],"about_ca_topic_score_codex":0.99675876,"about_ca_topic_score_gemma":0.9984939,"teacher_disagreement_score":0.020395307,"about_ca_system_score_codex":0.020395307,"about_ca_system_score_gemma":0.011270791,"threshold_uncertainty_score":0.14797902},"labels":[],"label_agreement":null},{"id":"W2991066626","doi":"","title":"Multi-scale enhancement of climate prediction over land by increasing the model sensitivity to vegetation variability in EC-Earth","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Plant Water Relations and Carbon 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":"Environmental science; Vegetation (pathology); Climatology; Albedo (alchemy); Leaf area index; Boreal; Climate change; Climate model; Atmospheric sciences; Evapotranspiration; Taiga; Northern Hemisphere; Snow; Physical geography; Meteorology; Geography; Geology; Ecology","score_opus":0.010858462641399173,"score_gpt":0.22426787896400405,"score_spread":0.21340941632260488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991066626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9749356,0.00018395163,0.0155111905,0.00034770914,0.00008692103,0.000041418276,0.0013477814,0.0007430089,0.0068024276],"genre_scores_gemma":[0.9926704,0.000074588745,0.0060157296,0.000057566627,0.000013383461,0.000031188367,0.0006086851,0.00007810834,0.0004503754],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982685,0.00005453467,0.000014391922,0.00004435439,0.000030467641,0.00002932664],"domain_scores_gemma":[0.99946684,0.0002472503,0.00004588591,0.000097001044,0.000093836235,0.000049177386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005591913,0.0006117404,0.00058616616,0.00028855802,0.00026488813,0.0008124398,0.0008303045,0.0008415274,0.0015718223],"category_scores_gemma":[0.0017201632,0.00029200997,0.00058700086,0.0004892293,0.00031569955,0.0006062496,0.00060430664,0.0008762522,0.00016224913],"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":[0.00006703468,0.000057191828,0.0044375267,0.000022713417,0.00003686843,0.000039479357,0.000024172152,0.99132395,0.0012228678,0.00039181657,0.00025455648,0.00212175],"study_design_scores_gemma":[0.000023454215,0.000019357305,0.0017614912,0.000002863069,0.000012480756,0.000007004963,0.0000086079735,0.9972146,0.0005619301,0.00012172837,0.00026014302,0.000006302895],"about_ca_topic_score_codex":0.031721245,"about_ca_topic_score_gemma":0.01433286,"teacher_disagreement_score":0.031721245,"about_ca_system_score_codex":0.00046283405,"about_ca_system_score_gemma":0.0006409419,"threshold_uncertainty_score":0.06307322},"labels":[],"label_agreement":null},{"id":"W2991074892","doi":"","title":"Sub-tidal Circulation in a deep-silled fjord: Douglas Channel, British Columbia (Canada)","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Fjord; Circulation (fluid dynamics); Oceanography; Channel (broadcasting); Geology; Geography; Climatology; Telecommunications; Engineering","score_opus":0.009254213089748674,"score_gpt":0.19434266161199718,"score_spread":0.1850884485222485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991074892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997624,0.00008711742,0.000031345975,0.0001104587,0.0000051658426,0.000007846656,0.0006988012,0.000007578517,0.0014277134],"genre_scores_gemma":[0.99707866,0.00007983751,0.00007632409,0.0000529244,0.0000019417143,0.000005338623,0.00041126626,0.00000509277,0.00228862],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99983466,0.000010604414,0.000009644347,0.00003584096,0.000027768556,0.000081487924],"domain_scores_gemma":[0.9995492,0.000029750361,0.00003387274,0.00001006305,0.00022353644,0.00015358556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014426468,0.00023097379,0.0003668656,0.00072677556,0.0035788158,0.0016250582,0.0009003175,0.0008163712,0.0028320907],"category_scores_gemma":[0.00059090945,0.00029401208,0.00020929298,0.0019520044,0.0010041384,0.00042104718,0.0009629907,0.0005345581,0.00039839858],"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":[0.0003868454,0.00013310387,0.9600288,0.0000894939,0.00008552819,0.0016124218,0.007851788,0.0021313624,0.004808193,0.0006465431,0.005630678,0.016595174],"study_design_scores_gemma":[0.000011756875,0.000011567308,0.9932045,0.000022917648,0.00001686274,0.000073045754,0.004190691,0.00090347236,0.000105052146,0.000038705355,0.0014060675,0.000015290792],"about_ca_topic_score_codex":0.9949567,"about_ca_topic_score_gemma":0.998314,"teacher_disagreement_score":0.016134946,"about_ca_system_score_codex":0.016134946,"about_ca_system_score_gemma":0.015358973,"threshold_uncertainty_score":0.117067814},"labels":[],"label_agreement":null},{"id":"W2991103542","doi":"","title":"Simulating current and future climate over CORDEX Africa domain using the fifth-generation Canadian Regional Climate Model (CRCM5)","year":2013,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Climate variability and models","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Climate model; Climate change; Climatology; Current (fluid); Environmental science; Geography; Geology","score_opus":0.06219692766860248,"score_gpt":0.2748253495614192,"score_spread":0.21262842189281672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991103542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96823347,0.000395566,0.0024592099,0.00085711246,0.00012136308,0.00007334296,0.010226845,0.00054529106,0.017087834],"genre_scores_gemma":[0.9908298,0.00017394742,0.0030874999,0.00008268418,0.000017056565,0.000036639136,0.0034442397,0.000057248537,0.0022709568],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998498,0.000027105436,0.000006465116,0.000033506163,0.000026187616,0.000056924582],"domain_scores_gemma":[0.9996136,0.00007301426,0.00002066095,0.000026820126,0.0001709694,0.000095013726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004412649,0.00074441015,0.00053689856,0.00053453847,0.0012033735,0.0009951196,0.0015169248,0.0010890757,0.003976077],"category_scores_gemma":[0.0012349272,0.0003693431,0.0006765485,0.001056629,0.00052198867,0.00063691434,0.0005366164,0.0009356015,0.00032012915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017445153,0.00008658911,0.012060212,0.00005478749,0.00007375086,0.00012888803,0.00008201236,0.9766426,0.00090760586,0.0012168986,0.0033790427,0.0051931404],"study_design_scores_gemma":[0.00016002706,0.000026773136,0.014274112,0.000015514534,0.000041368017,0.000016390612,0.00013475411,0.98152465,0.00063486217,0.00025734378,0.0028740196,0.000040311195],"about_ca_topic_score_codex":0.9435909,"about_ca_topic_score_gemma":0.92911434,"teacher_disagreement_score":0.9435909,"about_ca_system_score_codex":0.0074691223,"about_ca_system_score_gemma":0.008198577,"threshold_uncertainty_score":0.113482594},"labels":[],"label_agreement":null},{"id":"W2991219397","doi":"","title":"Freshwater exports from Arctic to the Labrador and Greenland shelf andslope.","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Oceanography; Arctic; The arctic; Climatology; Geology; Geography","score_opus":0.04468856951448069,"score_gpt":0.31388300772355515,"score_spread":0.26919443820907446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991219397","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91451883,0.0047200676,0.00037275138,0.0040793926,0.00024772316,0.0000220636,0.032740533,0.000089937406,0.043208733],"genre_scores_gemma":[0.946355,0.0052397824,0.00059097336,0.00043439548,0.0000806592,0.000028904882,0.011850783,0.00006955327,0.03535002],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997811,0.00003124309,0.000017306447,0.000033636275,0.000041356285,0.00009542551],"domain_scores_gemma":[0.9996642,0.000035352637,0.0001195165,0.000014320529,0.00008643866,0.00008018612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003275512,0.00035179476,0.00016321971,0.001101398,0.00088151754,0.0014892046,0.00029731376,0.00025404448,0.0021966896],"category_scores_gemma":[0.00067005504,0.00013965738,0.00032133667,0.0026910014,0.00034275485,0.00045158368,0.0011229743,0.00040155434,0.00037316064],"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":[0.0018450592,0.00015200335,0.7581662,0.0008851151,0.00046546943,0.0019973835,0.0056659244,0.005869847,0.0044330205,0.017871335,0.0740477,0.12860091],"study_design_scores_gemma":[0.000014409309,0.000034759356,0.89613044,0.00013651823,0.00005573515,0.00013698514,0.0031850606,0.0004191333,0.0012596359,0.0004989313,0.09811557,0.000012890518],"about_ca_topic_score_codex":0.5031942,"about_ca_topic_score_gemma":0.66243535,"teacher_disagreement_score":0.4968058,"about_ca_system_score_codex":0.002992076,"about_ca_system_score_gemma":0.0051672044,"threshold_uncertainty_score":0.99946314},"labels":[],"label_agreement":null},{"id":"W2991219716","doi":"","title":"Younger Dryas and Holocene oceanography of the western Labrador Sea region based on foraminifera and sediment proxies from Placentia Bay, Newfoundland","year":2014,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bay; Younger Dryas; Oceanography; Holocene; Foraminifera; Geology; Sediment; Paleontology; Benthic zone","score_opus":0.019384508930887414,"score_gpt":0.2271173649119096,"score_spread":0.20773285598102217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991219716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99574983,0.00026110755,0.00003277142,0.00007735067,0.0000058511287,0.0000040705677,0.0028413595,0.000006741239,0.0010209086],"genre_scores_gemma":[0.99559397,0.00024926863,0.000099742414,0.00004927005,0.0000056796803,0.000007131998,0.0028574772,0.000005467672,0.0011319005],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981683,0.000014971648,0.000020084744,0.000055069715,0.000019176827,0.00007378326],"domain_scores_gemma":[0.99940956,0.000038269005,0.00022371823,0.000032245076,0.00014933507,0.00014688588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035002775,0.00027650673,0.00026612624,0.0016954715,0.00075548515,0.0010192469,0.00042622944,0.00022222729,0.001968018],"category_scores_gemma":[0.00060932414,0.00026654522,0.0002892298,0.0022734185,0.00039509957,0.0005815166,0.0006965784,0.00030037455,0.0003644938],"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":[0.000076191354,0.000014907339,0.99434,0.00002038243,0.00009947581,0.00007515133,0.0006154157,0.0001057779,0.0007362997,0.000055113807,0.00078751455,0.0030737435],"study_design_scores_gemma":[0.0000013400547,0.000001989707,0.9992816,0.000005142984,0.000008388091,0.000011949713,0.00030579846,0.000024945753,0.000027003649,0.0000017627962,0.0003287977,0.0000013432687],"about_ca_topic_score_codex":0.8869275,"about_ca_topic_score_gemma":0.96916705,"teacher_disagreement_score":0.113072515,"about_ca_system_score_codex":0.0038305018,"about_ca_system_score_gemma":0.002235348,"threshold_uncertainty_score":0.22747678},"labels":[],"label_agreement":null},{"id":"W2991220913","doi":"","title":"The Continuous Vertical Datum for Canadian Waters Project: Status report and update","year":2014,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geodetic datum; Geology; Environmental science; Geodesy; Oceanography","score_opus":0.020847298271817357,"score_gpt":0.27157001965673766,"score_spread":0.2507227213849203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991220913","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03282084,0.009753707,0.019672483,0.009065948,0.00303343,0.001701286,0.84409547,0.005076044,0.074780874],"genre_scores_gemma":[0.085670255,0.011517931,0.06721235,0.0014149676,0.00047164346,0.0014745869,0.77327263,0.001937343,0.057028245],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9944311,0.00024541616,0.00023489885,0.00036019646,0.0041397135,0.0005886604],"domain_scores_gemma":[0.94722486,0.0014237262,0.0012803349,0.0024348607,0.04441625,0.0032198867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013090299,0.0015389718,0.0009060247,0.010283291,0.0023150041,0.004408489,0.005225058,0.0012198561,0.013872073],"category_scores_gemma":[0.019249583,0.0009919315,0.00092128874,0.016046522,0.0013073026,0.0028587733,0.0025044337,0.0015610869,0.0052513513],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044442623,0.0002111847,0.0351995,0.0010216644,0.00015672452,0.00006032935,0.00034334508,0.0045167683,0.0010791563,0.005690403,0.73301435,0.21826221],"study_design_scores_gemma":[0.00018296119,0.00005530825,0.049067955,0.0005865552,0.0001434439,0.000055773304,0.0003272591,0.003179762,0.0030394688,0.00079300435,0.9424659,0.00010254417],"about_ca_topic_score_codex":0.9715341,"about_ca_topic_score_gemma":0.9715006,"teacher_disagreement_score":0.028465927,"about_ca_system_score_codex":0.024580607,"about_ca_system_score_gemma":0.11038291,"threshold_uncertainty_score":0.17834562},"labels":[],"label_agreement":null},{"id":"W2991365499","doi":"","title":"Arsenic transforming genes in a low arsenic hypersaline lake in southern British Columbia, Canada.","year":2012,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Invertebrate Taxonomy and Ecology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Arsenic; Oceanography; Geography; Ecology; Environmental science; Biology; Geology; Chemistry","score_opus":0.018932153109040988,"score_gpt":0.19259899808992179,"score_spread":0.1736668449808808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991365499","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99423957,0.00023640187,0.00016838437,0.00014383106,0.0000059530016,0.00003336267,0.0022057104,0.000020142757,0.0029466024],"genre_scores_gemma":[0.9905324,0.0002397679,0.0005315619,0.00009422978,0.0000013074713,0.000017359156,0.0023272403,0.000011804456,0.006244266],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99970514,0.000009811972,0.000012473432,0.00005678346,0.00009743579,0.00011830176],"domain_scores_gemma":[0.99962544,0.00002026733,0.00004944692,0.000007779488,0.00023009509,0.00006697599],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011544446,0.00029216506,0.00044820816,0.001274807,0.0035212846,0.0010426362,0.000509678,0.00048235728,0.001290927],"category_scores_gemma":[0.0003048469,0.00025513166,0.00022625957,0.0037016303,0.0005909754,0.00014462706,0.00062832393,0.0005057942,0.00026725366],"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":[0.00118655,0.00025506294,0.6888067,0.00027152163,0.00012217455,0.0029631334,0.01039638,0.0014876996,0.25342923,0.00088265626,0.0036195894,0.036579296],"study_design_scores_gemma":[0.000012527985,0.000046231056,0.98631454,0.000025814781,0.000034229048,0.00026159748,0.00640705,0.00045572582,0.0024018155,0.000059620626,0.0039617377,0.000019035899],"about_ca_topic_score_codex":0.9777019,"about_ca_topic_score_gemma":0.9911157,"teacher_disagreement_score":0.022298098,"about_ca_system_score_codex":0.011516995,"about_ca_system_score_gemma":0.012085306,"threshold_uncertainty_score":0.08356202},"labels":[],"label_agreement":null},{"id":"W2991474002","doi":"","title":"Towards the implementation of L-band Soil Moisture Brightness Temperatures in the Canadian Land Data Assimilation System (CaLDAS)","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Data assimilation; Environmental science; Brightness; Moisture; Remote sensing; Assimilation (phonology); Water content; Atmospheric sciences; Meteorology; Geology; Geography; Physics","score_opus":0.03300188076814629,"score_gpt":0.2747738055745171,"score_spread":0.2417719248063708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991474002","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19196068,0.0020464344,0.73991215,0.0090118805,0.0007958582,0.00055295246,0.00465998,0.010349238,0.040710818],"genre_scores_gemma":[0.37138847,0.00051133527,0.6175934,0.0010624218,0.000090019166,0.00014811534,0.0023137718,0.0008225143,0.006069938],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99868256,0.00028124315,0.000060633483,0.00020622512,0.00051584584,0.0002535241],"domain_scores_gemma":[0.99483854,0.00028996583,0.00014820843,0.0005034986,0.003943142,0.00027666806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004241575,0.0006123798,0.00043365735,0.0005390034,0.0010546568,0.0022280738,0.0021634581,0.0010480807,0.0025666177],"category_scores_gemma":[0.009805913,0.00057677884,0.00044749543,0.0008049253,0.00080225593,0.0019129416,0.0014968765,0.0022778215,0.0018116359],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006709625,0.00043680312,0.0442427,0.00039892268,0.00019446695,0.00016639718,0.0018854542,0.1590884,0.0686847,0.042466093,0.05101906,0.6307461],"study_design_scores_gemma":[0.00032581785,0.00012434568,0.044989705,0.00034242106,0.00014063656,0.00004685742,0.00079917465,0.8193237,0.034379944,0.010086352,0.08924699,0.00019407865],"about_ca_topic_score_codex":0.8046742,"about_ca_topic_score_gemma":0.80122495,"teacher_disagreement_score":0.19532579,"about_ca_system_score_codex":0.0053573092,"about_ca_system_score_gemma":0.023835089,"threshold_uncertainty_score":0.3929522},"labels":[],"label_agreement":null},{"id":"W2991495878","doi":"","title":"Surface meltwater percolation and runoff buffering on Devon Ice Cap, Canada","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Meltwater; Percolation (cognitive psychology); Ice caps; Surface runoff; Geology; Environmental science; Hydrology (agriculture); Snow; Geomorphology; Glacier; Geotechnical engineering","score_opus":0.027006605020653066,"score_gpt":0.22112867543266643,"score_spread":0.19412207041201335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991495878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99252,0.00028810668,0.00006429958,0.00033650323,0.000009558401,0.000015148146,0.0017090616,0.000018524408,0.0050387466],"genre_scores_gemma":[0.9970444,0.00014499619,0.000058539354,0.000042595355,0.0000032410135,0.000006159197,0.00047114355,0.000009127078,0.0022199452],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999811,0.0000070403826,0.000003795467,0.000035941768,0.000041236573,0.00010094298],"domain_scores_gemma":[0.99925154,0.000066431945,0.000051448136,0.000014062616,0.00045603525,0.00016046426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019192841,0.0002777173,0.00047521267,0.0008754097,0.003134307,0.0016929979,0.0010544227,0.00052245037,0.004754832],"category_scores_gemma":[0.00075501873,0.000333404,0.0003988194,0.0012461068,0.0010466031,0.0006816354,0.00071353215,0.0005413536,0.0002804697],"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":[0.0023059219,0.0003141506,0.9260646,0.00016206225,0.00026413595,0.000605296,0.0034522573,0.007794843,0.020968558,0.0026090934,0.011593179,0.023865893],"study_design_scores_gemma":[0.000017142844,0.000017501676,0.9947067,0.000015662688,0.00002195294,0.0000133686735,0.0012311249,0.0015525646,0.0005328661,0.00011187967,0.0017643495,0.000015076772],"about_ca_topic_score_codex":0.9950753,"about_ca_topic_score_gemma":0.9977725,"teacher_disagreement_score":0.03554344,"about_ca_system_score_codex":0.03554344,"about_ca_system_score_gemma":0.02562526,"threshold_uncertainty_score":0.25788695},"labels":[],"label_agreement":null},{"id":"W2991516990","doi":"","title":"Adapting regional watershed management to climate change in Bavaria and Québec","year":2013,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Climate change; Watershed; Geography; Environmental science; Physical geography; Geology","score_opus":0.02767382644484086,"score_gpt":0.24210978081352696,"score_spread":0.2144359543686861,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991516990","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96025467,0.0016213764,0.002012414,0.0064358884,0.00010997556,0.00021226481,0.0029269927,0.00016526552,0.026261138],"genre_scores_gemma":[0.98977983,0.00067696144,0.0017750993,0.0003828098,0.000010799711,0.00005572031,0.00069114036,0.00002922495,0.006598257],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99873585,0.0003590817,0.00003956581,0.00012849654,0.0002090813,0.0005279715],"domain_scores_gemma":[0.9987104,0.00016045017,0.00009199075,0.00005346526,0.0005554121,0.00042822454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001361931,0.00020157917,0.00028286752,0.00086521107,0.0018686258,0.0027154929,0.0013134837,0.0007449857,0.002317855],"category_scores_gemma":[0.0032415325,0.00019950529,0.0003026284,0.0020136205,0.0007786671,0.0005162125,0.0009974013,0.00057045923,0.00017341446],"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":[0.00088430516,0.00074311375,0.5410361,0.00026457905,0.00076605444,0.0015839386,0.0032557948,0.13210791,0.009654139,0.013177742,0.05670688,0.23981941],"study_design_scores_gemma":[0.00012956532,0.000083222134,0.9007209,0.00011548322,0.00014023439,0.00007668083,0.006218427,0.034929283,0.0009611476,0.00082952844,0.055707008,0.00008857962],"about_ca_topic_score_codex":0.99477816,"about_ca_topic_score_gemma":0.9980161,"teacher_disagreement_score":0.06795032,"about_ca_system_score_codex":0.06795032,"about_ca_system_score_gemma":0.054055687,"threshold_uncertainty_score":0.49301642},"labels":[],"label_agreement":null},{"id":"W2991604486","doi":"","title":"The Submarine 4-km diameter Corossol Crater, Eastern Canada: Evidence for an impact origin","year":2014,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Impact crater; Geology; Submarine; Oceanography; Astrobiology","score_opus":0.0995260068769448,"score_gpt":0.32261286179152676,"score_spread":0.22308685491458197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991604486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9773917,0.0005054368,0.00019094576,0.0003153314,0.00001957643,0.000037108493,0.00072990905,0.000019250312,0.020790746],"genre_scores_gemma":[0.9951309,0.00026301018,0.00020334069,0.000046545567,0.0000050846397,0.000005801289,0.00029359743,0.000008006962,0.004043662],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999798,0.0000044029716,0.0000055887012,0.000027080028,0.00007121219,0.00009383349],"domain_scores_gemma":[0.9993887,0.000034697136,0.00009116335,0.000025190035,0.0003465535,0.00011372153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011502294,0.00039498962,0.0002853234,0.0014223062,0.0037293506,0.0013473411,0.0009128473,0.0005632943,0.0039715455],"category_scores_gemma":[0.0009706569,0.00027768788,0.00018317575,0.0027168079,0.0016115168,0.00037218005,0.0010692318,0.00045733753,0.00040034077],"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":[0.00046334905,0.00004962131,0.940668,0.00011725236,0.000076655444,0.0027638036,0.005691931,0.00095167896,0.011006734,0.0028557314,0.0031692712,0.032185912],"study_design_scores_gemma":[0.000012972295,0.000019011712,0.9866795,0.00004247793,0.000020864418,0.00031020175,0.0050145094,0.00034399857,0.00040893717,0.00014886666,0.006986949,0.000011700897],"about_ca_topic_score_codex":0.98832756,"about_ca_topic_score_gemma":0.9944178,"teacher_disagreement_score":0.013693406,"about_ca_system_score_codex":0.013693406,"about_ca_system_score_gemma":0.018115789,"threshold_uncertainty_score":0.099353075},"labels":[],"label_agreement":null},{"id":"W2991746883","doi":"","title":"The influence of biomass burning on the global distribution of selected non-methane organic compounds.","year":2013,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","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":"Environmental science; Benzene; Biomass (ecology); Environmental chemistry; Methane; Toluene; Atmosphere (unit); Biomass burning; Methanol; Atmospheric sciences; Peroxyacetyl nitrate; Air quality index; Pollutant; Chemistry; Combustion; Meteorology; Aerosol; NOx; Ecology; Organic chemistry; Geography","score_opus":0.006513137178985022,"score_gpt":0.20341867636380667,"score_spread":0.19690553918482165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991746883","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99232095,0.0011945367,0.000614055,0.00009683607,0.00000910771,0.0000071904865,0.0029890586,0.000026541107,0.0027416826],"genre_scores_gemma":[0.9962297,0.00091273634,0.0006093114,0.000030225718,0.0000037012542,0.0000033283645,0.0018448177,0.00001251156,0.00035363456],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99994326,0.0000066843186,0.0000023877305,0.00001702524,0.0000176291,0.000013016734],"domain_scores_gemma":[0.9997929,0.000053748685,0.00005105156,0.000024780518,0.000053341904,0.000024240528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016429697,0.00031256487,0.00009864272,0.0003344061,0.00016826292,0.00038306203,0.0001560203,0.00014125153,0.00052734115],"category_scores_gemma":[0.0003193436,0.00009180995,0.00024536622,0.00048310522,0.0001963492,0.00020192738,0.00025059117,0.00017571541,0.000136269],"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":[0.00019633546,0.00003755782,0.9095226,0.00022092219,0.00026119722,0.0002686071,0.00017926638,0.009169807,0.05638923,0.00034883266,0.0005074673,0.022898199],"study_design_scores_gemma":[0.00000265732,0.00003183796,0.991963,0.00001000553,0.00005092002,0.00007006486,0.00009207288,0.0021583093,0.0041371556,0.000097217926,0.0013809483,0.000005767906],"about_ca_topic_score_codex":0.14151473,"about_ca_topic_score_gemma":0.2315636,"teacher_disagreement_score":0.14151473,"about_ca_system_score_codex":0.0007041781,"about_ca_system_score_gemma":0.0005054556,"threshold_uncertainty_score":0.28138202},"labels":[],"label_agreement":null},{"id":"W2991839416","doi":"","title":"Structural and stratigraphic evolution of the Iberia and Newfoundland hyper-extended rifted margins: A quantitative modeling approach","year":2014,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological and Geophysical Studies Worldwide","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Paleontology","score_opus":0.023437123939587096,"score_gpt":0.2130229217340461,"score_spread":0.189585797794459,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991839416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98939985,0.0001871908,0.0024866888,0.00023008749,0.000006477812,0.000009957165,0.0015697975,0.00010046345,0.006009437],"genre_scores_gemma":[0.9965586,0.0001183281,0.0012494422,0.000020570264,0.0000029521839,0.000016049606,0.0004282277,0.000029243574,0.0015766296],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998927,0.000025421685,0.000005665538,0.00003418021,0.00000819934,0.00003372525],"domain_scores_gemma":[0.999788,0.0000635688,0.000056648398,0.000023075016,0.00004232076,0.000026416657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003507297,0.00032849156,0.00033041407,0.0008583365,0.0005186647,0.0017369939,0.0009342876,0.0006083406,0.002382091],"category_scores_gemma":[0.00077129283,0.00042856293,0.00069679617,0.0009823836,0.0005536241,0.00060143485,0.00048027912,0.00032612687,0.00022762945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006338919,0.000045674595,0.07207644,0.000035577923,0.00017201087,0.00007020131,0.00018275814,0.9153587,0.00071585266,0.0032946796,0.0007536679,0.0072311177],"study_design_scores_gemma":[0.000023094884,0.00001844779,0.10567463,0.00003914951,0.000086410255,0.000029506262,0.000356989,0.8904778,0.00020737482,0.0007810679,0.0022802684,0.000025267014],"about_ca_topic_score_codex":0.77448213,"about_ca_topic_score_gemma":0.74782,"teacher_disagreement_score":0.77448213,"about_ca_system_score_codex":0.006668884,"about_ca_system_score_gemma":0.0027685617,"threshold_uncertainty_score":0.45369196},"labels":[],"label_agreement":null},{"id":"W2991983907","doi":"","title":"Precursor slope distress leading up to the 2010 Mount Meager landslide, British Columbia","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mount; Landslide; Geology; Distress; Geomorphology; Medicine; Computer science","score_opus":0.01930319448627952,"score_gpt":0.24974404027423955,"score_spread":0.23044084578796004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991983907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8488462,0.000901533,0.0001953496,0.009369928,0.0003795002,0.00014504361,0.0050157034,0.00011285886,0.13503385],"genre_scores_gemma":[0.9384135,0.0010493351,0.00019699188,0.00089123286,0.00003871568,0.00005526995,0.0021783137,0.000032593973,0.057144087],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996679,0.000009881959,0.0000079445135,0.000023106813,0.000102736674,0.0001883794],"domain_scores_gemma":[0.9990982,0.000019473022,0.000048036094,0.000016737178,0.00060980057,0.000207846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019427149,0.0002551752,0.00023297252,0.0010323889,0.005018263,0.0022265299,0.0005779581,0.0011629708,0.011858512],"category_scores_gemma":[0.0014782429,0.00023851215,0.00014479816,0.0012741035,0.00059635437,0.0005328036,0.0019310906,0.0019652974,0.0010395343],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049922353,0.0002583175,0.6285743,0.0003085291,0.00007683243,0.0061792587,0.011390414,0.0022988725,0.0046407552,0.0056696045,0.2325722,0.107531644],"study_design_scores_gemma":[0.000012238791,0.00004127399,0.8941587,0.00025426288,0.00002322953,0.0002219163,0.021400077,0.000628041,0.00048841076,0.00041491856,0.08232959,0.000027374466],"about_ca_topic_score_codex":0.9523744,"about_ca_topic_score_gemma":0.9931906,"teacher_disagreement_score":0.0476256,"about_ca_system_score_codex":0.01430118,"about_ca_system_score_gemma":0.027617985,"threshold_uncertainty_score":0.103762805},"labels":[],"label_agreement":null},{"id":"W2992495734","doi":"","title":"A real time debris flow forecasting system for North Vancouver, British Columbia","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Debris flow; Meteorology; Flow (mathematics); Debris; Geology; Geography; Mathematics","score_opus":0.012275102929257464,"score_gpt":0.20315936056613643,"score_spread":0.19088425763687897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2992495734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90609884,0.00037183112,0.016680371,0.0007325976,0.00013740941,0.00046254703,0.033591714,0.015042238,0.02688243],"genre_scores_gemma":[0.9308429,0.00034670715,0.027574146,0.00008140143,0.000018059223,0.00016191803,0.017854758,0.00035926976,0.022760857],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998591,0.000010497379,0.00000953262,0.000044662454,0.000056182507,0.000020018242],"domain_scores_gemma":[0.9991435,0.000057401805,0.0000214309,0.000034234596,0.00066083035,0.00008257444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003140314,0.0005301413,0.00031309124,0.0011018893,0.0013272542,0.0011540498,0.000555445,0.00035524165,0.004860973],"category_scores_gemma":[0.0009518053,0.0003043007,0.00015495237,0.0013742009,0.00015001652,0.00051939546,0.0003298551,0.0003892857,0.0013656379],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016778322,0.00066234893,0.22467454,0.0003084818,0.00021683624,0.00073987246,0.0013677921,0.16864471,0.02461246,0.0009092246,0.14682506,0.42936084],"study_design_scores_gemma":[0.00014040207,0.00008633422,0.099263534,0.000050537663,0.00007534501,0.00006286252,0.0010096723,0.8651012,0.0053821956,0.00028417422,0.0284579,0.00008588797],"about_ca_topic_score_codex":0.92954314,"about_ca_topic_score_gemma":0.9526016,"teacher_disagreement_score":0.07045686,"about_ca_system_score_codex":0.0037581779,"about_ca_system_score_gemma":0.00592357,"threshold_uncertainty_score":0.14174354},"labels":[],"label_agreement":null},{"id":"W2992660735","doi":"","title":"Contribution of human and climate change impacts to changes in streamflow of Canada","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Streamflow; Climate change; Climatology; Environmental science; Geography; Environmental resource management; Geology; Drainage basin; Oceanography; Cartography","score_opus":0.01862736046688096,"score_gpt":0.24295758775260387,"score_spread":0.2243302272857229,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2992660735","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96400017,0.0038553693,0.0002260623,0.00756702,0.00014336105,0.000028318715,0.008532011,0.00004973361,0.015597956],"genre_scores_gemma":[0.99047637,0.002675126,0.0001525056,0.00026270284,0.00003385894,0.000004537912,0.001168153,0.000015709722,0.005210975],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942195,0.00004468233,0.000028754152,0.00006836321,0.00022192011,0.00021430364],"domain_scores_gemma":[0.997821,0.00013308304,0.00013712278,0.000048500493,0.0013813731,0.00047893616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055753003,0.00021262851,0.00021609855,0.0011631465,0.0020006485,0.0018839291,0.000666318,0.00047154975,0.0033815007],"category_scores_gemma":[0.0020261006,0.00019851365,0.00047812972,0.0028314,0.000989648,0.00041780216,0.0010198745,0.00082808937,0.0001905777],"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":[0.00028523777,0.00006475546,0.9268967,0.00015035304,0.00033354084,0.0003945634,0.0016537668,0.0053695636,0.0009396372,0.0026763368,0.013080072,0.048155464],"study_design_scores_gemma":[0.000005525721,0.0000060928837,0.98721874,0.00004113609,0.00007192779,0.00004993499,0.0012408376,0.001113703,0.00020475901,0.00019508284,0.0098331915,0.000018982271],"about_ca_topic_score_codex":0.9978695,"about_ca_topic_score_gemma":0.9987453,"teacher_disagreement_score":0.040838644,"about_ca_system_score_codex":0.040838644,"about_ca_system_score_gemma":0.07014775,"threshold_uncertainty_score":0.2963065},"labels":[],"label_agreement":null},{"id":"W2992678795","doi":"","title":"A comparison of mantle convection models featuring plates","year":2012,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Theoretical and Computational Physics","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":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Mantle convection; Mantle (geology); Rheology; Convection; Viscosity; Mechanics; Geology; Geophysics; Physics; Thermodynamics","score_opus":0.0424346524959387,"score_gpt":0.30978081742284747,"score_spread":0.26734616492690877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2992678795","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9638258,0.00069304276,0.016150782,0.00039571492,0.00007224525,0.00007516167,0.0006276774,0.0005590633,0.01760047],"genre_scores_gemma":[0.9911112,0.00029932786,0.0066248626,0.000044999037,0.000026575854,0.000047989422,0.0004063326,0.000090474605,0.0013482317],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998454,0.00004771166,0.000014331677,0.000024125746,0.000042492404,0.000025943098],"domain_scores_gemma":[0.99935263,0.00030223595,0.000076076765,0.0000986119,0.0000949,0.00007548178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003914978,0.0008614308,0.00064132316,0.0006881888,0.00046703903,0.0009770762,0.0011230685,0.001097663,0.0014849565],"category_scores_gemma":[0.0014489458,0.00034471235,0.00093056745,0.0004685281,0.00051181007,0.00074859237,0.00066639326,0.0005227198,0.00021479822],"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":[0.00015209797,0.00008568658,0.003510835,0.0000877795,0.00007385624,0.00010798402,0.000079699304,0.98365605,0.0043453733,0.0042329594,0.00040641005,0.0032612672],"study_design_scores_gemma":[0.000029434439,0.000034799235,0.00076425844,0.000005630067,0.0000122805895,0.000014947308,0.000014737789,0.9975975,0.0006653587,0.0005949803,0.00025770033,0.0000084265885],"about_ca_topic_score_codex":0.012686014,"about_ca_topic_score_gemma":0.0077403192,"teacher_disagreement_score":0.012686014,"about_ca_system_score_codex":0.0008440217,"about_ca_system_score_gemma":0.0007777354,"threshold_uncertainty_score":0.025224328},"labels":[],"label_agreement":null},{"id":"W2993023546","doi":"","title":"Assessment of variability and uncertainty of regional soil organic carbon inventories in mountain environments (Canadian Rocky Mountains, Alberta)","year":2012,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Physical geography; Soil carbon; Geography; Forestry; Soil water; Soil science","score_opus":0.01829915785140696,"score_gpt":0.2382310704743787,"score_spread":0.21993191262297174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2993023546","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970317,0.00023951713,0.0009046168,0.000118176155,0.000004521423,0.000008615601,0.0008529327,0.000030123725,0.0008099021],"genre_scores_gemma":[0.9983612,0.00007120532,0.0006940362,0.000017836644,0.0000034448196,0.0000027106346,0.00064513827,0.0000045636148,0.00019993048],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992094,0.00014869343,0.000048496702,0.00018376551,0.00028030117,0.00012938968],"domain_scores_gemma":[0.9970005,0.0011921186,0.00031845554,0.00016227948,0.0011862654,0.00014039592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002466197,0.0003068469,0.00027351402,0.0014126383,0.001162215,0.0016320887,0.0010304791,0.0004368288,0.0003217916],"category_scores_gemma":[0.0055859243,0.00023372944,0.00044362742,0.002725996,0.0008691475,0.00043926973,0.00058211084,0.0002730073,0.000054476066],"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":[0.00036401267,0.000040911043,0.8538948,0.000055952587,0.00049692654,0.00025867455,0.0004609332,0.11868057,0.0014882085,0.0008167778,0.0010692588,0.022373028],"study_design_scores_gemma":[0.000021174432,0.000022215027,0.91820765,0.000024915695,0.00011715259,0.0000704364,0.0007514176,0.07860135,0.00050911965,0.00047303308,0.001162639,0.000038871043],"about_ca_topic_score_codex":0.97095776,"about_ca_topic_score_gemma":0.97773916,"teacher_disagreement_score":0.029042244,"about_ca_system_score_codex":0.01250408,"about_ca_system_score_gemma":0.00847008,"threshold_uncertainty_score":0.09072393},"labels":[],"label_agreement":null},{"id":"W2993210125","doi":"","title":"In-situ single particle composition analysis of free tropospheric ice nuclei and ice residues in mixed-phase clouds during INUIT-JFJ 2013","year":2014,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"In situ; Ice crystals; Ice nucleus; Phase (matter); Particle (ecology); Arctic ice pack; Atmospheric sciences; Environmental science; Geology; Climatology; Chemistry; Meteorology; Sea ice; Geography; Oceanography","score_opus":0.011848552583269858,"score_gpt":0.23971976799355207,"score_spread":0.2278712154102822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2993210125","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982121,0.000036197413,0.00018570166,0.000018438159,0.000009957678,0.00000790887,0.0007648966,0.000012339686,0.00075255416],"genre_scores_gemma":[0.99795437,0.000032980322,0.00029756836,0.00001583301,0.0000058775645,0.000009093615,0.0009322097,0.000009307301,0.00074282027],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999149,0.0000026259336,0.0000032811495,0.000032073083,0.00002496325,0.000022207456],"domain_scores_gemma":[0.9999256,0.000007123089,0.000008626503,0.0000036051783,0.000036500678,0.000018567456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014947493,0.00026839608,0.00041444984,0.00052878825,0.0012734078,0.00065466383,0.00049045443,0.0004753479,0.00065503985],"category_scores_gemma":[0.00013905423,0.0002455183,0.0003543654,0.0004191126,0.00025558597,0.00036998958,0.0003423096,0.00033383144,0.00016306492],"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":[0.0019762013,0.00043024536,0.6303422,0.00010688533,0.00024626424,0.0009486459,0.0018493861,0.0025376237,0.34757516,0.0002550846,0.0012628573,0.012469377],"study_design_scores_gemma":[0.000008996911,0.00004445297,0.98582053,0.000004488482,0.00002864114,0.00006334548,0.00033314968,0.0030239162,0.010071789,0.00001762355,0.00057383487,0.00000918096],"about_ca_topic_score_codex":0.28951973,"about_ca_topic_score_gemma":0.44620588,"teacher_disagreement_score":0.28951973,"about_ca_system_score_codex":0.0013500513,"about_ca_system_score_gemma":0.00057268934,"threshold_uncertainty_score":0.57566905},"labels":[],"label_agreement":null},{"id":"W2993444524","doi":"","title":"Observed and Projected Variability of Snow Cover and Sea Ice in the Canadian Arctic","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sea ice; Snow cover; Arctic ice pack; Snow; Climatology; Arctic; Cryosphere; Physical geography; Oceanography; Cover (algebra); Arctic sea ice decline; The arctic; Geology; Environmental science; Antarctic sea ice; Meteorology; Geography; Engineering","score_opus":0.06637917732519495,"score_gpt":0.2528321250349616,"score_spread":0.18645294770976667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2993444524","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933422,0.0002811203,0.00012897914,0.00026713382,0.000014484162,0.0000068440004,0.0040790904,0.000018864517,0.0018613497],"genre_scores_gemma":[0.99746346,0.0001747395,0.0001229419,0.000031220647,0.000004289322,0.0000036880933,0.0015928561,0.0000035655453,0.0006031975],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99978894,0.00001049257,0.000010691683,0.00004393333,0.00006191859,0.00008398159],"domain_scores_gemma":[0.99937755,0.00004215112,0.00006111,0.00001437772,0.00039333574,0.00011143758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039785012,0.00035566147,0.00020130376,0.0008387335,0.0016301599,0.001070901,0.00068368675,0.00047331824,0.0014466833],"category_scores_gemma":[0.000765118,0.00027126452,0.00045262123,0.0017239618,0.00046312774,0.0003818874,0.0004204317,0.00042924305,0.00018269345],"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":[0.00035723278,0.00008610139,0.97124344,0.0000772201,0.00019532711,0.00015360025,0.00076404796,0.009918228,0.0034587986,0.0005268493,0.0031147897,0.010104453],"study_design_scores_gemma":[0.000009410199,0.000008790924,0.9951374,0.000011980583,0.00002237382,0.000020890146,0.00033044594,0.002794315,0.00019975581,0.00004398368,0.0014086863,0.00001184253],"about_ca_topic_score_codex":0.9878743,"about_ca_topic_score_gemma":0.9933769,"teacher_disagreement_score":0.01650463,"about_ca_system_score_codex":0.01650463,"about_ca_system_score_gemma":0.01310331,"threshold_uncertainty_score":0.11975002},"labels":[],"label_agreement":null},{"id":"W2993683594","doi":"","title":"Mapping peatland pools to improve estimations of carbon store on a boreal peatland in Canada","year":2014,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Peat; Boreal; Environmental science; Bog; Physical geography; Taiga; Geography; Forestry; Archaeology","score_opus":0.011737359334781362,"score_gpt":0.2209935274329993,"score_spread":0.20925616809821793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2993683594","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99552804,0.00027639553,0.0007820977,0.00008819694,0.00000510116,0.000036760102,0.0015905221,0.000044014712,0.0016489086],"genre_scores_gemma":[0.99500775,0.00018072137,0.0027275938,0.000022633072,0.0000024052456,0.000018690183,0.0009016214,0.0000151303875,0.0011233843],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998092,0.000012811108,0.000009129477,0.00004478955,0.00004471985,0.00007929009],"domain_scores_gemma":[0.999553,0.00003237478,0.000032732893,0.0000134916345,0.00029348416,0.00007489039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031270855,0.0004272065,0.00038863125,0.0014005023,0.0018128201,0.0011732767,0.0007982639,0.00035777382,0.0008378952],"category_scores_gemma":[0.0005794529,0.000257442,0.00032285822,0.0021583203,0.00032675834,0.00046670102,0.0004556646,0.00029313713,0.0001507809],"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":[0.0003896522,0.00020777428,0.88559365,0.00017081057,0.000232117,0.00046965075,0.00264846,0.018350335,0.02230261,0.0006199038,0.0032483672,0.065766595],"study_design_scores_gemma":[0.000023545026,0.000022091923,0.96834385,0.00004886438,0.00006150431,0.00005677846,0.0018930017,0.023915228,0.002144525,0.00013781247,0.0033224274,0.000030374136],"about_ca_topic_score_codex":0.99180365,"about_ca_topic_score_gemma":0.9970137,"teacher_disagreement_score":0.00900328,"about_ca_system_score_codex":0.00900328,"about_ca_system_score_gemma":0.014564329,"threshold_uncertainty_score":0.06532371},"labels":[],"label_agreement":null},{"id":"W2993950430","doi":"","title":"The impacts of land cover changes on local-scale evapotranspiration and precipitation, and hydrological processes in the Canadian prairies","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Evapotranspiration; Precipitation; Land cover; Environmental science; Scale (ratio); Water cycle; Physical geography; Climatology; Hydrology (agriculture); Geography; Land use; Meteorology; Geology; Cartography; Ecology","score_opus":0.029576271194161556,"score_gpt":0.24356531319800068,"score_spread":0.21398904200383911,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2993950430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966959,0.00030840686,0.000054442393,0.00048586095,0.0000059299305,0.000008912566,0.0009247941,0.000006960058,0.0015087889],"genre_scores_gemma":[0.99820626,0.00025113285,0.00009300116,0.00005901898,0.0000031898967,0.0000043969176,0.00042892777,0.000004995997,0.0009490638],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99960345,0.000043320506,0.000020122134,0.00007779025,0.00009863843,0.00015662804],"domain_scores_gemma":[0.99889815,0.00019809401,0.00013282255,0.000058047895,0.00048556444,0.0002273079],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055445055,0.00022929345,0.00027132168,0.0006810851,0.0020352527,0.0011867932,0.001013701,0.0004431663,0.0019952992],"category_scores_gemma":[0.0019548314,0.000339159,0.00048304792,0.0018211614,0.0015210587,0.0007586816,0.00085995,0.00071064493,0.00014473729],"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":[0.00022887386,0.00009336415,0.9746018,0.000068008056,0.00027267716,0.0002288815,0.0018343729,0.0039708093,0.0027953272,0.0008742857,0.0017307252,0.013300876],"study_design_scores_gemma":[0.0000034474695,0.0000032550026,0.99831855,0.0000040213854,0.000016075159,0.000011792621,0.0005859139,0.00046763165,0.000054140422,0.000031677402,0.0004972573,0.00000638768],"about_ca_topic_score_codex":0.99570847,"about_ca_topic_score_gemma":0.99851555,"teacher_disagreement_score":0.023524182,"about_ca_system_score_codex":0.023524182,"about_ca_system_score_gemma":0.01804712,"threshold_uncertainty_score":0.17068064},"labels":[],"label_agreement":null},{"id":"W2994321653","doi":"","title":"Application of global datasets for hydrological modelling of a remote, snowmelt driven catchment in the Canadian Sub-Arctic","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Snowmelt; Arctic; Environmental science; Drainage basin; Remote sensing; Physical geography; Hydrology (agriculture); Climatology; Geography; Snow; Geology; Meteorology; Oceanography; Cartography","score_opus":0.09671874498350859,"score_gpt":0.2981483615112219,"score_spread":0.20142961652771335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994321653","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9152693,0.00026548345,0.0055553894,0.00082975253,0.00009593832,0.0002143745,0.068333685,0.0015833892,0.007852621],"genre_scores_gemma":[0.9513986,0.00022442856,0.009905095,0.00007978426,0.00002110239,0.00009878854,0.03655454,0.00020289066,0.0015148213],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996327,0.000042432148,0.00002483614,0.00010649713,0.00010173402,0.00009179462],"domain_scores_gemma":[0.99897885,0.00013070431,0.000059156377,0.00010568659,0.00061025907,0.00011545048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096074084,0.00073331705,0.00047215633,0.0014222034,0.00149719,0.0014748998,0.0012617356,0.00069548556,0.0018625443],"category_scores_gemma":[0.0024042581,0.00047432975,0.00089447247,0.0027172007,0.00043528024,0.00072946685,0.0007001591,0.00077103346,0.0002498535],"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":[0.00027343337,0.00041478578,0.098451585,0.00018566774,0.0004242667,0.00026267933,0.00047184082,0.8405752,0.0038219893,0.0022199512,0.014797784,0.038100805],"study_design_scores_gemma":[0.00032949672,0.000037662085,0.23211867,0.00006652545,0.00016831365,0.000050468716,0.0008378161,0.7461612,0.002801478,0.0009682512,0.016323458,0.00013663589],"about_ca_topic_score_codex":0.9738196,"about_ca_topic_score_gemma":0.97579306,"teacher_disagreement_score":0.026180387,"about_ca_system_score_codex":0.011164805,"about_ca_system_score_gemma":0.013793166,"threshold_uncertainty_score":0.081006646},"labels":[],"label_agreement":null},{"id":"W2994447599","doi":"","title":"Adapting fire management to future fire regimes: impacts on boreal forest composition and carbon balance in Canadian National Parks","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Taiga; Environmental science; Boreal; Balance (ability); Fire protection; Forestry; Carbon fibers; Environmental resource management; Environmental protection; Geography; Engineering","score_opus":0.008475200128179252,"score_gpt":0.22848794711284567,"score_spread":0.2200127469846664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994447599","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979418,0.0002292366,0.00006191357,0.00023786172,0.000007680504,0.000012872903,0.00033227654,0.000004505818,0.001171814],"genre_scores_gemma":[0.99840564,0.00022957729,0.00018215195,0.00008110076,0.0000028233453,0.000008072263,0.00025532136,0.0000035013836,0.0008316551],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996051,0.00003817693,0.0000143224825,0.000060353927,0.00009476054,0.0001873825],"domain_scores_gemma":[0.99921024,0.000060590588,0.00011110865,0.000030387411,0.00038651685,0.00020106173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071161444,0.00021429294,0.00026562787,0.00054970547,0.0027730523,0.0013409033,0.0010388967,0.00051602087,0.0013430025],"category_scores_gemma":[0.0014943364,0.00021037014,0.00039607895,0.001021585,0.00069548195,0.00048705604,0.0006222581,0.00045229323,0.00007254652],"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":[0.00037854788,0.00016004578,0.96021664,0.00005907998,0.00017464768,0.00023396866,0.0014984058,0.0065152952,0.0031380942,0.00037951086,0.002685565,0.024560153],"study_design_scores_gemma":[0.000007992068,0.000012690818,0.9966731,0.0000089074165,0.000023258279,0.00003491515,0.0011481962,0.0010038852,0.000120180666,0.00005511578,0.00090053363,0.0000112035805],"about_ca_topic_score_codex":0.9938984,"about_ca_topic_score_gemma":0.99895287,"teacher_disagreement_score":0.032274142,"about_ca_system_score_codex":0.032274142,"about_ca_system_score_gemma":0.021056155,"threshold_uncertainty_score":0.23416638},"labels":[],"label_agreement":null},{"id":"W2994634964","doi":"","title":"Drivers of water chemistry levels and trends in Nova Scotia, Canada; The Nova Scotia Freshwater Database (NSFwD)","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Nova (rocket); Metis; Geography; Database; Archaeology; Engineering; Computer science","score_opus":0.023904419462916524,"score_gpt":0.23986167203116168,"score_spread":0.21595725256824516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994634964","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2540934,0.0014014168,0.00029313934,0.00042985837,0.000041762534,0.00016094712,0.7374582,0.00013260251,0.005988666],"genre_scores_gemma":[0.6738941,0.0024783018,0.0018301532,0.00043248307,0.000023740815,0.00046187872,0.30938542,0.00007384441,0.011420025],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994134,0.000028603317,0.000112051996,0.00011636828,0.0001908033,0.00013868242],"domain_scores_gemma":[0.9958182,0.00018477938,0.0007930681,0.00015243201,0.002385623,0.0006658478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006340741,0.00041051712,0.0005466377,0.0026430516,0.0010572225,0.0010736821,0.0009807177,0.00031113715,0.003394723],"category_scores_gemma":[0.003053089,0.00041924027,0.0005678602,0.010088724,0.00026048927,0.00033705452,0.00095872645,0.00038484766,0.0007187346],"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":[0.00025754806,0.000039517487,0.9100347,0.0005012651,0.00029279108,0.0001218093,0.000488697,0.0013235724,0.00031334348,0.0004805993,0.07366981,0.012476383],"study_design_scores_gemma":[0.000019003504,0.0000064406436,0.9888369,0.0001077645,0.0000424298,0.000026589798,0.00031097254,0.0003908486,0.00007904547,0.000026796939,0.010141232,0.000011970659],"about_ca_topic_score_codex":0.99687743,"about_ca_topic_score_gemma":0.99796706,"teacher_disagreement_score":0.014755251,"about_ca_system_score_codex":0.014755251,"about_ca_system_score_gemma":0.03857611,"threshold_uncertainty_score":0.10705733},"labels":[],"label_agreement":null},{"id":"W2994684027","doi":"","title":"Statistical adjustment of simulated inter-annual variability in an investigation of short-term temperature trend distributions over Canada","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Term (time); Trend analysis; Environmental science; Statistical analysis; Climatology; Econometrics; Statistics; Mathematics; Geology","score_opus":0.03293709940183336,"score_gpt":0.279480524899731,"score_spread":0.24654342549789765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994684027","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973878,0.00004132876,0.0010942727,0.000081564336,0.000010271181,0.000007583742,0.00073552574,0.00008131122,0.0005603633],"genre_scores_gemma":[0.9984261,0.00001904272,0.00051207206,0.000009978246,0.0000016465199,0.000004254942,0.0007610898,0.000017013293,0.00024871246],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996766,0.000065106535,0.000017735849,0.00008917359,0.00008335834,0.00006810787],"domain_scores_gemma":[0.998069,0.00056582264,0.00014310099,0.00012202801,0.0009973642,0.00010264095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009449224,0.0002217111,0.00021641588,0.00034507716,0.00079094607,0.00075716054,0.00074177055,0.0003751488,0.0006621324],"category_scores_gemma":[0.0041516614,0.00023167669,0.0005116028,0.0010704263,0.00039614236,0.0002485844,0.00022433957,0.00043531487,0.0000923991],"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":[0.00032851333,0.00011024942,0.3020136,0.00003324157,0.00023775364,0.00010395586,0.00021024152,0.679717,0.0030596422,0.0008298758,0.0018098794,0.011546087],"study_design_scores_gemma":[0.000040094004,0.00004474921,0.39373812,0.000007640261,0.00005284213,0.000026040172,0.00018976066,0.60298145,0.0012171222,0.00017979188,0.0014892191,0.000033123433],"about_ca_topic_score_codex":0.9315495,"about_ca_topic_score_gemma":0.9148574,"teacher_disagreement_score":0.06845051,"about_ca_system_score_codex":0.007523555,"about_ca_system_score_gemma":0.007701632,"threshold_uncertainty_score":0.13770723},"labels":[],"label_agreement":null},{"id":"W2994837769","doi":"","title":"The Canadian Precipitation Analysis (CaPA): Evaluation of the statistical interpolation scheme","year":2013,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Interpolation (computer graphics); Precipitation; Statistical analysis; Scheme (mathematics); Statistics; Computer science; Mathematics; Environmental science; Meteorology; Geography; Artificial intelligence; Mathematical analysis","score_opus":0.022588464988131822,"score_gpt":0.2714513774821063,"score_spread":0.24886291249397446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994837769","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":[0.36528805,0.0012833893,0.5334936,0.0029288381,0.0006395042,0.001509012,0.03388891,0.022184284,0.038784485],"genre_scores_gemma":[0.55019736,0.00059633225,0.42826217,0.0002491194,0.000062807056,0.0005032331,0.010330245,0.0025204623,0.0072782016],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99725336,0.00089478615,0.00013780467,0.00030165171,0.0012161075,0.00019626586],"domain_scores_gemma":[0.99029875,0.0030452244,0.00028321825,0.0010196058,0.005011919,0.00034120397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008636573,0.0009117664,0.0006201383,0.0019509167,0.0020558108,0.001909177,0.002468003,0.000567956,0.005860797],"category_scores_gemma":[0.029946378,0.00048258976,0.0006741969,0.004568143,0.0005230762,0.0012724476,0.0013534925,0.0009252676,0.00095969153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031168833,0.00039093636,0.058098003,0.0003613302,0.00041912717,0.00011850562,0.0004708259,0.3461436,0.0045235623,0.02772263,0.053935975,0.5046986],"study_design_scores_gemma":[0.00031393146,0.00009030703,0.020232787,0.00004495293,0.000101620564,0.000035966186,0.00016031053,0.96322334,0.002918293,0.0021812806,0.010613816,0.00008343223],"about_ca_topic_score_codex":0.9233566,"about_ca_topic_score_gemma":0.91540414,"teacher_disagreement_score":0.07664341,"about_ca_system_score_codex":0.008302443,"about_ca_system_score_gemma":0.02630453,"threshold_uncertainty_score":0.15418953},"labels":[],"label_agreement":null},{"id":"W2994998574","doi":"","title":"HuBLE-UK: the Hudson Bay Lithospheric Experiment: Insights into the Formation of the Canadian Shield From Broadband Seismology","year":2012,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Bay; Shield; Broadband; Seismology; Lithosphere; Oceanography; Telecommunications; Engineering; Paleontology; Tectonics","score_opus":0.025468775742398957,"score_gpt":0.24253717531891875,"score_spread":0.2170683995765198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994998574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8608369,0.0013145128,0.00105049,0.005757199,0.00029703867,0.00012694855,0.10068174,0.00020904125,0.029726094],"genre_scores_gemma":[0.95341355,0.0005878536,0.00199862,0.0004975317,0.000051473522,0.000057479076,0.026693063,0.000115041665,0.016585335],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995883,0.00005367433,0.000012844828,0.00005019447,0.0001414504,0.00015350839],"domain_scores_gemma":[0.99851507,0.00011896985,0.000115175004,0.00019083843,0.00059405225,0.00046578757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009490069,0.0003151901,0.00035576694,0.0008685068,0.0018309784,0.0017160249,0.00085996394,0.000621519,0.003920633],"category_scores_gemma":[0.0018608281,0.00022459147,0.0001719792,0.0025162462,0.0010356416,0.00086870167,0.0012452672,0.0008748561,0.00041847563],"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":[0.0049178596,0.000383999,0.60598975,0.000457928,0.00048395814,0.0014441144,0.007001282,0.011612182,0.016357668,0.024292849,0.22537245,0.1016859],"study_design_scores_gemma":[0.00022100727,0.000042033444,0.9429591,0.000056314377,0.0000553883,0.000047703325,0.002290422,0.001081186,0.0012606042,0.00063060876,0.051293306,0.0000623527],"about_ca_topic_score_codex":0.9807076,"about_ca_topic_score_gemma":0.9944312,"teacher_disagreement_score":0.019292414,"about_ca_system_score_codex":0.012741427,"about_ca_system_score_gemma":0.017716795,"threshold_uncertainty_score":0.09244597},"labels":[],"label_agreement":null},{"id":"W2995040008","doi":"","title":"Improved spatial prediction: A combinatorial approach","year":2014,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Multivariate interpolation; Copula (linguistics); Interpolation (computer graphics); Grid; Spatial dependence; Mathematics; Spatial correlation; Spatial contextual awareness; Computer science; Mathematical optimization; Econometrics; Statistics; Bilinear interpolation; Artificial intelligence; Geometry","score_opus":0.026516618354722733,"score_gpt":0.2209532187372765,"score_spread":0.19443660038255375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995040008","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":[0.0040395833,0.0000843767,0.9929508,0.000114564435,0.000032206397,0.000013502717,0.00009528517,0.00023982966,0.0024298923],"genre_scores_gemma":[0.3050848,0.00043190605,0.68971324,0.00017999337,0.000236397,0.00013856792,0.00079697,0.00041336988,0.0030047975],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99825877,0.00079460134,0.00007555024,0.00029425634,0.00046909164,0.00010772338],"domain_scores_gemma":[0.99559915,0.0022218947,0.00029305875,0.0009941999,0.0007973509,0.000094379786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024619387,0.0010435241,0.0013099519,0.0019319612,0.00059427315,0.0014543226,0.0022279287,0.0008292387,0.0055054845],"category_scores_gemma":[0.009196499,0.00072587957,0.0013796857,0.0022975698,0.00087705743,0.002339363,0.0022299073,0.0015474637,0.0011354943],"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":[0.00007289735,0.000055058084,0.0010843426,0.00007176122,0.000063054256,0.00010449155,0.00004821525,0.8499781,0.0015800355,0.05406835,0.0024187434,0.09045501],"study_design_scores_gemma":[0.000005287014,0.000018185216,0.0001698645,0.0000070158144,0.000011818268,0.000018066685,0.0000060425623,0.9849005,0.00042178636,0.013592337,0.0008411498,0.00000787853],"about_ca_topic_score_codex":0.0038011884,"about_ca_topic_score_gemma":0.003508153,"teacher_disagreement_score":0.0055054845,"about_ca_system_score_codex":0.0010497515,"about_ca_system_score_gemma":0.0010777396,"threshold_uncertainty_score":0.018417656},"labels":[],"label_agreement":null},{"id":"W2995417266","doi":"","title":"Mooring-based long-term observation of oceanographic condition in the Chukchi Ses and Canada Basin of the Arctic Ocean","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Oceanography; Mooring; Arctic; Term (time); Canada Basin; Climatology; The arctic; Environmental science; Structural basin; Geology; Geography; Fishery","score_opus":0.04965750074559675,"score_gpt":0.22461246274040406,"score_spread":0.1749549619948073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995417266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99870133,0.00007766099,0.000042447828,0.000023501416,0.0000043340037,0.0000050775866,0.0007412567,0.000004549618,0.00039974778],"genre_scores_gemma":[0.9979698,0.000087480774,0.0001495141,0.00001672084,0.0000027579406,0.0000075829375,0.0012006334,0.0000023269124,0.0005632241],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998348,0.000014845604,0.000010734472,0.000040411993,0.000034713943,0.00006454518],"domain_scores_gemma":[0.99945265,0.00003350129,0.000085298925,0.000021037713,0.00026498985,0.00014256396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030360345,0.00026732194,0.0002558256,0.0008611829,0.0009814453,0.0006541706,0.00060790323,0.00037383338,0.00053032377],"category_scores_gemma":[0.0006407458,0.0002216908,0.00019281713,0.00197685,0.00040595498,0.00037054377,0.0006691464,0.00031211134,0.0001497584],"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":[0.00018733546,0.00005975969,0.9855435,0.000033172513,0.00012853036,0.000111708105,0.0009938884,0.0009782519,0.003477211,0.000067939895,0.0007179073,0.0077007436],"study_design_scores_gemma":[0.0000034117245,0.0000071241793,0.9982901,0.000008673123,0.000016999315,0.000012626602,0.0005654349,0.00068777666,0.00009535883,0.000005090407,0.00030196935,0.0000055161436],"about_ca_topic_score_codex":0.95385355,"about_ca_topic_score_gemma":0.9811266,"teacher_disagreement_score":0.046146452,"about_ca_system_score_codex":0.004591239,"about_ca_system_score_gemma":0.0065714894,"threshold_uncertainty_score":0.09283638},"labels":[],"label_agreement":null},{"id":"W2995493034","doi":"","title":"Realistic simulations of tsunami detection by High-Frequency Radar in British Columbia, Canada","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Radar; Geology; Remote sensing; Geography; Seismology; Meteorology; Computer science; Telecommunications","score_opus":0.011464500043354774,"score_gpt":0.19633286898078797,"score_spread":0.1848683689374332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995493034","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9776654,0.00028100007,0.0010495135,0.0014699487,0.00005292206,0.000060336606,0.0037509867,0.0001472899,0.015522643],"genre_scores_gemma":[0.9922327,0.00016179138,0.00072724937,0.00013357768,0.000007796478,0.000032583903,0.0013229186,0.000035757894,0.005345564],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996137,0.00006594955,0.000019021601,0.0000689201,0.00006220798,0.0001702045],"domain_scores_gemma":[0.9975943,0.0008711454,0.00012264182,0.00008674823,0.00082723296,0.0004979088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005561692,0.000956267,0.0010640672,0.001116068,0.002836387,0.0024416961,0.0037909064,0.0037554868,0.008647504],"category_scores_gemma":[0.003975386,0.0013521886,0.0008902136,0.0025419595,0.002080507,0.0012601046,0.0010617822,0.0020471301,0.0006360581],"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":[0.00013692043,0.00010656196,0.006334467,0.000023069697,0.00003331141,0.00013486814,0.00007180958,0.9891115,0.00020134619,0.0011108677,0.0017902919,0.0009449694],"study_design_scores_gemma":[0.00020170595,0.000039229366,0.0055600884,0.000013522608,0.000030423113,0.00001729352,0.00033219936,0.9925178,0.0001296941,0.00044969763,0.0006583126,0.000050037263],"about_ca_topic_score_codex":0.9887918,"about_ca_topic_score_gemma":0.9785774,"teacher_disagreement_score":0.026906203,"about_ca_system_score_codex":0.026906203,"about_ca_system_score_gemma":0.018277925,"threshold_uncertainty_score":0.1952191},"labels":[],"label_agreement":null},{"id":"W2995690550","doi":"","title":"Cretaceous magmatism in the High Canadian Arctic: Implications for the nature and age of Alpha Ridge","year":2013,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cretaceous; Magmatism; Geology; Ridge; Arctic; Paleontology; Earth science; Oceanography; Tectonics","score_opus":0.028615204079856554,"score_gpt":0.23469145018683302,"score_spread":0.20607624610697647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995690550","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886286,0.0015373273,0.00013958685,0.00093350286,0.000029514697,0.000006624383,0.0007108275,0.000010560838,0.008003501],"genre_scores_gemma":[0.99805045,0.0005435351,0.00010470974,0.000048727536,0.000007631542,0.0000013795966,0.00016931923,0.0000054057246,0.0010689468],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997242,0.000014544615,0.000011547883,0.000043766016,0.00006256394,0.00014333625],"domain_scores_gemma":[0.998814,0.000065677516,0.00013769427,0.000033169323,0.0007890037,0.00016046988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005398518,0.00022211394,0.00022266949,0.0019124128,0.0046249237,0.0018932942,0.00077674404,0.00048915675,0.0030268016],"category_scores_gemma":[0.0016865485,0.00019716621,0.00026765885,0.0027610627,0.0015605303,0.00078086107,0.00064676895,0.0004582037,0.00015801859],"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":[0.0003550024,0.00003656451,0.9472427,0.00011768539,0.00010961767,0.00033870628,0.006556944,0.0015584396,0.006761788,0.00477185,0.001895573,0.030255113],"study_design_scores_gemma":[0.000004208228,0.0000046555797,0.9938059,0.000027940085,0.000017297807,0.00004178876,0.0027509,0.00031919612,0.00023339708,0.00019540037,0.0025911452,0.000008091114],"about_ca_topic_score_codex":0.99427044,"about_ca_topic_score_gemma":0.9978728,"teacher_disagreement_score":0.02210536,"about_ca_system_score_codex":0.02210536,"about_ca_system_score_gemma":0.028769594,"threshold_uncertainty_score":0.16038632},"labels":[],"label_agreement":null},{"id":"W2995828814","doi":"","title":"The interplay between eddies, deep convection and sinking of dense water in an idealized model study of the Labrador Sea","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Eddy; Geology; Deep convection; Convection; Oceanography; Climatology; Meteorology; Geophysics; Geography; Turbulence","score_opus":0.047969238777151736,"score_gpt":0.28243621083433895,"score_spread":0.23446697205718722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995828814","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943176,0.00013377171,0.001382972,0.0004759771,0.000018128634,0.000016211086,0.00027067095,0.00005274921,0.0033318934],"genre_scores_gemma":[0.9984244,0.00006923927,0.00034315942,0.000052985015,0.000013770772,0.000011502861,0.000093377275,0.000023403169,0.0009681269],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998247,0.00005710514,0.000010092612,0.000032502885,0.000009576759,0.00006610012],"domain_scores_gemma":[0.99956423,0.0001725773,0.0000678146,0.00003292995,0.000039065137,0.00012334096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033551463,0.00063245895,0.00089076505,0.00045795937,0.0010507862,0.0019588964,0.0013598094,0.0019249034,0.0014992608],"category_scores_gemma":[0.0013362863,0.00074874936,0.0009598571,0.0004514681,0.0018896456,0.0013878333,0.0010501612,0.000932151,0.0001407362],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037099543,0.00017671852,0.014203741,0.000042432228,0.0000860781,0.00032453425,0.00012735515,0.9763673,0.0028603403,0.004070981,0.0005509111,0.0008186689],"study_design_scores_gemma":[0.00014741102,0.000062137835,0.005208829,0.0000068189984,0.000035423338,0.000020596246,0.00015028288,0.9929438,0.00025945465,0.0009978509,0.00013755019,0.000029734352],"about_ca_topic_score_codex":0.14220484,"about_ca_topic_score_gemma":0.054921534,"teacher_disagreement_score":0.8577952,"about_ca_system_score_codex":0.0018825952,"about_ca_system_score_gemma":0.0016197345,"threshold_uncertainty_score":0.28275418},"labels":[],"label_agreement":null},{"id":"W2996008951","doi":"","title":"Observations of a bromine explosion event coincident with the arrival of Arctic haze in the Canadian high Arctic","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Arctic; The arctic; Meteorology; Environmental science; Haze; Event (particle physics); Climatology; Bromine; Atmospheric sciences; Geology; Geography; Oceanography; Physics; Astrophysics; Chemistry","score_opus":0.03883768088961971,"score_gpt":0.24970700215570515,"score_spread":0.21086932126608543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996008951","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937436,0.00021221543,0.0003307481,0.00023117392,0.000041422703,0.000023122826,0.00060445064,0.000035614736,0.0047776215],"genre_scores_gemma":[0.9978338,0.00013667258,0.00028059926,0.00006424496,0.000014543564,0.0000057188163,0.00041703356,0.0000064568076,0.001241067],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998062,0.0000053669373,0.0000032949497,0.000023526653,0.000078095436,0.000083498206],"domain_scores_gemma":[0.9996493,0.000024418428,0.000037650287,0.000016433423,0.00017637799,0.000095813404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030297917,0.00031751,0.0002807624,0.0008690013,0.0027915002,0.0007784668,0.0005556698,0.0008522125,0.0007616742],"category_scores_gemma":[0.00039162117,0.00026406485,0.00027976837,0.0008028819,0.0006913791,0.0002727505,0.00079216575,0.0007886513,0.00015338679],"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":[0.0027451098,0.00033254627,0.70641196,0.00021329634,0.0003596591,0.0060481443,0.00783092,0.0033475533,0.24083085,0.0010301395,0.0067471475,0.024102684],"study_design_scores_gemma":[0.000028612747,0.000055539822,0.9904144,0.00001560373,0.000036253194,0.00017068391,0.0012657332,0.000800963,0.0027814321,0.000047537087,0.0043615005,0.000021613116],"about_ca_topic_score_codex":0.8404564,"about_ca_topic_score_gemma":0.92452425,"teacher_disagreement_score":0.15954357,"about_ca_system_score_codex":0.003464128,"about_ca_system_score_gemma":0.0044958433,"threshold_uncertainty_score":0.3209663},"labels":[],"label_agreement":null},{"id":"W2996158869","doi":"","title":"A model simulation of biogeochemical conditions along the British Columbia Continental Shelf","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Continental shelf; Biogeochemical cycle; Oceanography; Geology; Climatology; Environmental science","score_opus":0.018626402883719875,"score_gpt":0.24577260806253942,"score_spread":0.22714620517881956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996158869","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98917633,0.000061446415,0.00039314694,0.0004074886,0.000024431716,0.000026710442,0.0014234121,0.00005824152,0.00842884],"genre_scores_gemma":[0.995178,0.000077369084,0.0006386076,0.000068673515,0.000004601036,0.000035148903,0.00086647115,0.000020351588,0.0031107522],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998197,0.00004393468,0.000009236608,0.000044187767,0.000023425238,0.000059547056],"domain_scores_gemma":[0.99927264,0.00020595653,0.000045611752,0.000050639406,0.00022245733,0.00020277951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000307541,0.0006615275,0.0006389317,0.00055264006,0.0020005133,0.0019987158,0.0018598045,0.0021008202,0.00463216],"category_scores_gemma":[0.0017331913,0.0008575456,0.0006940237,0.001332975,0.0012876599,0.00074834167,0.00088312034,0.0014806787,0.00032279265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014425177,0.000120524084,0.014267864,0.000020073427,0.000059248923,0.00013242273,0.00008177513,0.9810987,0.00041765717,0.0009870166,0.0013320028,0.0013384008],"study_design_scores_gemma":[0.0001683448,0.000043761138,0.010459358,0.000010846506,0.000031526608,0.00000990572,0.00025661907,0.9877323,0.00019119312,0.00030319206,0.00076434226,0.000028563849],"about_ca_topic_score_codex":0.9436576,"about_ca_topic_score_gemma":0.91061044,"teacher_disagreement_score":0.9436576,"about_ca_system_score_codex":0.01163256,"about_ca_system_score_gemma":0.009991151,"threshold_uncertainty_score":0.113348424},"labels":[],"label_agreement":null},{"id":"W2996271367","doi":"","title":"Iceshelf instability and the collapsing NW margin of the Laurentide Ice Sheet: core evidence from Viscount Melville Sound, Arctic Canada","year":2013,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Sound (geography); Oceanography; Ice sheet; Arctic; Instability; Core (optical fiber); Ice core; Margin (machine learning); Engineering; Telecommunications","score_opus":0.03050723055292429,"score_gpt":0.23745656958231223,"score_spread":0.20694933902938795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996271367","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970618,0.00020386605,0.000040872877,0.00004609234,0.0000030922583,0.000007347781,0.00027493126,0.0000029002133,0.0023590818],"genre_scores_gemma":[0.998684,0.00019644003,0.00008592992,0.000033106066,0.0000036437746,0.000005019181,0.00029844692,0.000005118825,0.0006881937],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997882,0.000009954453,0.000009944376,0.000033900655,0.00007537532,0.00008266746],"domain_scores_gemma":[0.9990662,0.000071760725,0.00018844115,0.00003117493,0.00045784065,0.00018467446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003992072,0.00025331572,0.0003674946,0.0020075075,0.0042721415,0.0018540819,0.0008159011,0.00045044415,0.0012506959],"category_scores_gemma":[0.0012781944,0.00029618066,0.00019357237,0.0023525066,0.001759668,0.0005197887,0.001204623,0.00030479426,0.000214324],"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":[0.00017371321,0.000034384542,0.98049015,0.000030076115,0.000052797306,0.0003462834,0.004310444,0.0005266563,0.0045459443,0.00025260088,0.0005129249,0.008724011],"study_design_scores_gemma":[0.0000039230686,0.000007574739,0.99632347,0.000017064453,0.000011968308,0.000042458574,0.0022544477,0.00019608285,0.00021647688,0.000026859829,0.00089444173,0.000005333211],"about_ca_topic_score_codex":0.96750945,"about_ca_topic_score_gemma":0.9912307,"teacher_disagreement_score":0.03249055,"about_ca_system_score_codex":0.00789814,"about_ca_system_score_gemma":0.009163763,"threshold_uncertainty_score":0.065363705},"labels":[],"label_agreement":null},{"id":"W2996410023","doi":"","title":"Low Levels of Nitryl Chloride in the Lower Fraser Valley of British Columbia","year":2014,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Chloride; Environmental science; Chemistry; Geology","score_opus":0.013501645756925865,"score_gpt":0.212713929802099,"score_spread":0.19921228404517313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996410023","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99597025,0.0001146968,0.00005366393,0.00015962313,0.000004931084,0.000009710154,0.00051342614,0.000008595888,0.0031650353],"genre_scores_gemma":[0.99700457,0.00008121264,0.00012206399,0.000053567717,0.000001449232,0.000007433322,0.0003252421,0.000006471771,0.0023979126],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99960023,0.000042232226,0.000019377909,0.00008421555,0.00010082406,0.00015307107],"domain_scores_gemma":[0.99901986,0.00007781049,0.000111286834,0.00001958581,0.00059411366,0.0001773535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024301565,0.00023598997,0.0004605273,0.0015229943,0.0042375047,0.0023148078,0.001082543,0.00064995897,0.0017562304],"category_scores_gemma":[0.0009264669,0.00034664318,0.00014713053,0.0027694192,0.0010565066,0.0003781592,0.00073537766,0.000667132,0.00028913686],"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":[0.0002837696,0.00014762588,0.96486,0.000100015815,0.00009467321,0.0007063133,0.007207137,0.00057616225,0.009143486,0.0003041513,0.002423648,0.014152972],"study_design_scores_gemma":[0.000007118269,0.000012496109,0.9900574,0.000028801647,0.000016632972,0.00006847039,0.007352974,0.00041210977,0.0003250188,0.000050394152,0.0016520984,0.000016438158],"about_ca_topic_score_codex":0.98769265,"about_ca_topic_score_gemma":0.9961314,"teacher_disagreement_score":0.012307346,"about_ca_system_score_codex":0.009143376,"about_ca_system_score_gemma":0.010336436,"threshold_uncertainty_score":0.06634021},"labels":[],"label_agreement":null},{"id":"W2996580518","doi":"","title":"Fold-related-fracturing at the Livingstone River anticline (AB; Canada) by coupling field surveying and numerical modelling","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Anticline; Geology; Field (mathematics); Geomorphology; Mathematics","score_opus":0.009838268513039842,"score_gpt":0.20127332971767947,"score_spread":0.19143506120463963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996580518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930876,0.0000456806,0.0024944178,0.000056006953,0.000004307908,0.000045529552,0.00082136557,0.00014724,0.0032979425],"genre_scores_gemma":[0.9978161,0.000025905734,0.0011911831,0.000006985832,8.0010005e-7,0.000009585927,0.00023819017,0.00001475521,0.0006964141],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998512,0.000012865741,0.000006601566,0.000039297407,0.000035230936,0.00005477154],"domain_scores_gemma":[0.99968207,0.000056431847,0.00003566267,0.000025816209,0.00015687806,0.000043197502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001907495,0.00032572914,0.000293398,0.00076329085,0.001013265,0.0010699873,0.001149421,0.0007106287,0.0020186603],"category_scores_gemma":[0.00091680366,0.0003996043,0.0004161881,0.0014372015,0.0007107869,0.00053937803,0.00042240618,0.00042543194,0.00025157313],"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":[0.00016897537,0.00026100173,0.3751716,0.00012391873,0.00009113818,0.00037408117,0.0009200579,0.58518994,0.007901084,0.0016018779,0.001344655,0.026851589],"study_design_scores_gemma":[0.0000233392,0.000023605511,0.24340463,0.000021768827,0.000023121294,0.000039786297,0.00067922636,0.75335425,0.0012424814,0.00035631214,0.0007937349,0.0000377986],"about_ca_topic_score_codex":0.9644412,"about_ca_topic_score_gemma":0.97684526,"teacher_disagreement_score":0.03555882,"about_ca_system_score_codex":0.008300079,"about_ca_system_score_gemma":0.009848014,"threshold_uncertainty_score":0.07153642},"labels":[],"label_agreement":null},{"id":"W2996689398","doi":"","title":"Increasing aluminium concentrations in Southwest Nova Scotia Canada rivers from 1980 to present","year":2014,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Aluminium; Environmental science; Nova (rocket); Geography; Geology; Archaeology; Hydrology (agriculture); Metallurgy; Engineering; Geotechnical engineering; Materials science","score_opus":0.013471806843840518,"score_gpt":0.218012763043083,"score_spread":0.20454095619924248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996689398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99082714,0.000763374,0.000050796414,0.00024425288,0.000015222525,0.000008464115,0.0019132507,0.0000083175755,0.006169179],"genre_scores_gemma":[0.9881203,0.00061350263,0.0001512661,0.00012044386,0.000006906685,0.000008033585,0.000957739,0.000004168087,0.010017586],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998373,0.000009532321,0.000015499128,0.000043876833,0.000039476028,0.00005438436],"domain_scores_gemma":[0.99933356,0.000048679147,0.0001270038,0.000012158766,0.0003960766,0.00008251655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019932828,0.00015570625,0.00014726666,0.0017275763,0.0014436824,0.0010293958,0.0003984709,0.00045718515,0.0012264561],"category_scores_gemma":[0.00053957425,0.00016534727,0.0002128021,0.0018593081,0.00051891024,0.0002804459,0.000466982,0.0003574423,0.00022743944],"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":[0.00024706454,0.000029429466,0.97843266,0.00010104217,0.000047752295,0.0005495844,0.0024499965,0.00045076793,0.0035333314,0.00024206554,0.0017807861,0.01213542],"study_design_scores_gemma":[0.0000024561664,0.0000071191666,0.9964838,0.000022125872,0.000010725833,0.000038527014,0.0009379555,0.00006115567,0.00017770476,0.000013602279,0.0022415332,0.0000031928828],"about_ca_topic_score_codex":0.9768379,"about_ca_topic_score_gemma":0.99199826,"teacher_disagreement_score":0.023162127,"about_ca_system_score_codex":0.010246929,"about_ca_system_score_gemma":0.006361346,"threshold_uncertainty_score":0.07434702},"labels":[],"label_agreement":null},{"id":"W2996911941","doi":"","title":"Suspended sediment fluxes in the Castle Creek glacier pro-glacial zone, Cariboo Mountains, British Columbia","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Glacier; Geology; Glacial period; Sediment; Physical geography; Meltwater; Hydrology (agriculture); Geomorphology; Geography; Geotechnical engineering","score_opus":0.027360889245523035,"score_gpt":0.2587914135163828,"score_spread":0.23143052427085975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996911941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963804,0.00020486394,0.000022919801,0.00015310159,0.000006587351,0.0000074412824,0.0013665167,0.000009984153,0.0018483415],"genre_scores_gemma":[0.9953831,0.00022767013,0.00007414057,0.000050151048,0.000002650638,0.000008413249,0.00084943307,0.000006766318,0.0033977614],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99983025,0.0000199604,0.000015058037,0.000036125763,0.00004373878,0.00005486015],"domain_scores_gemma":[0.9994073,0.000059896498,0.000047337406,0.000016580028,0.0003659963,0.00010294485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024222012,0.000256299,0.0003049152,0.001594432,0.0024813854,0.0018170002,0.0006610098,0.0004921408,0.0025197314],"category_scores_gemma":[0.0010326816,0.00030091085,0.00019784264,0.0029591785,0.00054842513,0.00042586023,0.00084070594,0.00046131114,0.00030806422],"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":[0.00046294974,0.00009833071,0.96862775,0.00010864514,0.00013744972,0.0004815098,0.0038902592,0.0016919267,0.0027519378,0.0004588978,0.0037840444,0.017506275],"study_design_scores_gemma":[0.00001652764,0.0000060686157,0.99573356,0.0000279118,0.000025176803,0.000023605851,0.0020250552,0.000684601,0.00014586044,0.000032084306,0.0012707016,0.00000885667],"about_ca_topic_score_codex":0.9934267,"about_ca_topic_score_gemma":0.9976931,"teacher_disagreement_score":0.01218109,"about_ca_system_score_codex":0.01218109,"about_ca_system_score_gemma":0.009909505,"threshold_uncertainty_score":0.0883804},"labels":[],"label_agreement":null},{"id":"W2997384996","doi":"","title":"Operational Global Deterministic and Ensemble Wave Prediction Systems at Environment Canada","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Meteorology; Computer science; Environmental science; Econometrics; Geography; Mathematics","score_opus":0.032861225064135476,"score_gpt":0.199858026771296,"score_spread":0.16699680170716052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997384996","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31755537,0.0013643004,0.32189327,0.0059737316,0.0016298076,0.0009271603,0.1863264,0.052881293,0.111448735],"genre_scores_gemma":[0.73357075,0.0008799464,0.13521732,0.00028902787,0.00012611589,0.00033811378,0.079987355,0.002017175,0.047574267],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993299,0.000068099245,0.000020927162,0.00011337461,0.00034509887,0.00012251963],"domain_scores_gemma":[0.99771285,0.00019531584,0.000064334294,0.00027911155,0.0015616544,0.0001867622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013160695,0.00083039235,0.0005342774,0.00084587466,0.0014807753,0.0015788993,0.0015544151,0.00046822403,0.008014731],"category_scores_gemma":[0.0033997034,0.00049171696,0.00037690764,0.0018390898,0.00050583784,0.0017197841,0.00092972815,0.0010546141,0.0025566418],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060965936,0.00021717414,0.029498475,0.000092657465,0.0001362122,0.00006899061,0.00021485738,0.5323379,0.0030625528,0.012897251,0.2002365,0.22062787],"study_design_scores_gemma":[0.00008355912,0.000022057086,0.006805967,0.000015690206,0.000027881224,0.000006655256,0.00009055339,0.9589957,0.0021796878,0.0036253862,0.028101612,0.000045284014],"about_ca_topic_score_codex":0.9442917,"about_ca_topic_score_gemma":0.92130965,"teacher_disagreement_score":0.05570829,"about_ca_system_score_codex":0.007544902,"about_ca_system_score_gemma":0.027380414,"threshold_uncertainty_score":0.112072706},"labels":[],"label_agreement":null},{"id":"W2997806593","doi":"","title":"Cretaceous tectonism, mineralization & hydrocarbon trap formation in the northern Canadian Cordillera: results of zircon (U-Th)/He thermochronology","year":2013,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Zircon; Thermochronology; Geology; Cretaceous; Geochemistry; Mineralization (soil science); Earth science; Paleontology","score_opus":0.017297358556971437,"score_gpt":0.20010870300990494,"score_spread":0.1828113444529335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997806593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99524903,0.0008274377,0.00009341743,0.000084361745,0.0000057251586,0.00001168496,0.0010340648,0.00001921176,0.0026750853],"genre_scores_gemma":[0.9961332,0.00040751148,0.000268426,0.000028757218,0.0000025952631,0.000006113698,0.0006935859,0.000009323468,0.0024504988],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99980134,0.000008226112,0.000009815554,0.000056816607,0.000048260023,0.00007556797],"domain_scores_gemma":[0.9996915,0.000015102268,0.000042972904,0.000010719758,0.00018605581,0.000053724274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026852434,0.00042478298,0.00035854176,0.0020399457,0.0023440665,0.0010638984,0.00073954655,0.00035777793,0.003000856],"category_scores_gemma":[0.0006017149,0.00024425422,0.00032426114,0.0032156513,0.00062626635,0.0003853117,0.0006214683,0.00029856554,0.00032352746],"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":[0.00033348313,0.00004948085,0.95309746,0.00009118131,0.00013453394,0.00023402729,0.0019494605,0.0010492863,0.0058169845,0.00053259236,0.0010391854,0.035672374],"study_design_scores_gemma":[0.0000049879386,0.0000062949384,0.99788386,0.000010619473,0.000018566423,0.00003104745,0.00039780288,0.00033049984,0.0002798554,0.000017578017,0.0010141169,0.0000047619665],"about_ca_topic_score_codex":0.9949883,"about_ca_topic_score_gemma":0.9978787,"teacher_disagreement_score":0.015348297,"about_ca_system_score_codex":0.015348297,"about_ca_system_score_gemma":0.009216034,"threshold_uncertainty_score":0.11136025},"labels":[],"label_agreement":null},{"id":"W2997826414","doi":"","title":"Crystallization process of zircon and fergusonite during hydrothermal alteration in Nechalacho REE deposit, Thor Lake, Canada","year":2012,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Zircon; Hydrothermal circulation; Geochemistry; Geology; Crystallization; Mineralogy; Chemistry; Paleontology","score_opus":0.011401856398016635,"score_gpt":0.20430075949665114,"score_spread":0.1928989030986345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997826414","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976494,0.00014290406,0.000059693146,0.000019973753,0.0000027361157,0.000008443211,0.0003916645,0.0000067114,0.0017185528],"genre_scores_gemma":[0.997615,0.00008348988,0.00009951784,0.00000832818,0.0000011522612,0.0000035389533,0.0002605902,0.0000057742213,0.0019226997],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998958,0.0000029892817,0.0000057102634,0.000025227131,0.000031473257,0.000038768998],"domain_scores_gemma":[0.99982834,0.000016425838,0.000016342397,0.000005347345,0.000110394394,0.000023116696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014372192,0.00018102342,0.00027903687,0.0011888439,0.0016483276,0.0010325394,0.00048002056,0.00027560027,0.0012171204],"category_scores_gemma":[0.00036766476,0.0001957863,0.00018902874,0.000726918,0.00064038043,0.0002494629,0.00028842408,0.00022126632,0.00018968467],"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":[0.0019723447,0.00011130859,0.60112154,0.00024031708,0.00014116005,0.0021351683,0.0060119196,0.0021823957,0.36593357,0.00092652754,0.001034967,0.018188711],"study_design_scores_gemma":[0.000015863257,0.000037321683,0.977399,0.000013010562,0.000029030862,0.00013057006,0.0013875631,0.0009038862,0.017491179,0.000040657913,0.0025386056,0.000013229647],"about_ca_topic_score_codex":0.8863186,"about_ca_topic_score_gemma":0.92547864,"teacher_disagreement_score":0.113681376,"about_ca_system_score_codex":0.00547475,"about_ca_system_score_gemma":0.0043248134,"threshold_uncertainty_score":0.22870171},"labels":[],"label_agreement":null},{"id":"W2997883541","doi":"","title":"Methane and carbon dioxide fluxes in a hydrologically changed wetland in Canada","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Carbon dioxide; Wetland; Methane; Environmental science; Methane emissions; Chemistry; Ecology","score_opus":0.0251057143293749,"score_gpt":0.2250096478381098,"score_spread":0.19990393350873492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997883541","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981925,0.000070404414,0.000037650498,0.00017348786,0.0000068991358,0.000008433238,0.00064400374,0.0000075017792,0.0008590828],"genre_scores_gemma":[0.9985079,0.00008373341,0.000102080136,0.000051160754,0.0000029004948,0.0000053240306,0.00030917887,0.000004359385,0.00093338394],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998118,0.0000098759765,0.000007121524,0.00003766015,0.000042350355,0.000091183414],"domain_scores_gemma":[0.99971944,0.000024641171,0.00002040282,0.000006245445,0.00013943276,0.00008987898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016905623,0.00025040584,0.00041346368,0.00062101183,0.00360153,0.0013416914,0.0008023244,0.0007837643,0.0014586096],"category_scores_gemma":[0.00038296107,0.00030174945,0.0004507831,0.001377728,0.00094824133,0.00044321443,0.00071028376,0.00060864846,0.00014792802],"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":[0.0013033685,0.00036288728,0.95269275,0.00011399225,0.00020315463,0.0013556352,0.0034960143,0.0065049706,0.013564971,0.0007897331,0.004113517,0.015499066],"study_design_scores_gemma":[0.000025284226,0.000014446885,0.99210185,0.000013280465,0.000028989696,0.000051293202,0.002250938,0.003877268,0.00045104045,0.000060743314,0.0011022605,0.000022480108],"about_ca_topic_score_codex":0.99712247,"about_ca_topic_score_gemma":0.9983176,"teacher_disagreement_score":0.02810677,"about_ca_system_score_codex":0.02810677,"about_ca_system_score_gemma":0.021376558,"threshold_uncertainty_score":0.20392984},"labels":[],"label_agreement":null},{"id":"W2998442561","doi":"","title":"Fault activity and diapirism in the Mississippian to Late Cretaceous Sverdrup Basin: New insights into the tectonic evolution of the Canadian Arctic","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sverdrup; Geology; Cretaceous; Arctic; Paleontology; Diapir; Structural basin; Tectonics; Fault (geology); Oceanography","score_opus":0.025469905426334306,"score_gpt":0.2265263440647499,"score_spread":0.20105643863841557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998442561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971576,0.0004975558,0.000050609582,0.00017268897,0.000004088509,0.0000016395924,0.00038344707,0.0000028254015,0.0017296233],"genre_scores_gemma":[0.9985569,0.00034873217,0.00007260714,0.00001984768,0.0000030175202,0.000001540026,0.00027043693,0.0000026897055,0.00072417106],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99986684,0.000011899936,0.000009500803,0.000037001944,0.000026047086,0.00004855764],"domain_scores_gemma":[0.9995152,0.000050991843,0.00008991214,0.000014958882,0.00024018863,0.00008874623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002654071,0.00016830512,0.00015783038,0.0016336427,0.0017835804,0.0012542462,0.00040629512,0.00040122046,0.0019277453],"category_scores_gemma":[0.0011321747,0.00020815482,0.00018874292,0.0024919144,0.0006010741,0.0005333547,0.0007091772,0.00028548826,0.00013721247],"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":[0.00009129343,0.00001751921,0.97419655,0.000039162194,0.000055184322,0.00017023811,0.004807824,0.000976853,0.0020307696,0.00078309566,0.000598005,0.01623354],"study_design_scores_gemma":[0.000001551406,0.0000032746593,0.9961333,0.00002110849,0.000011775251,0.000028928589,0.0018112054,0.00037083455,0.00009303142,0.0000775222,0.0014426191,0.00000476676],"about_ca_topic_score_codex":0.95978653,"about_ca_topic_score_gemma":0.9885675,"teacher_disagreement_score":0.040213466,"about_ca_system_score_codex":0.0068769255,"about_ca_system_score_gemma":0.007067442,"threshold_uncertainty_score":0.08090055},"labels":[],"label_agreement":null},{"id":"W2998914801","doi":"","title":"The zinc stable isotope signature of waste rock drainage in Arctic Canada","year":2014,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Drainage; Arctic; Zinc; Stable isotope ratio; Environmental science; Geochemistry; Oceanography; Chemistry; Ecology","score_opus":0.01912677050801104,"score_gpt":0.21339788172321877,"score_spread":0.19427111121520774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998914801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99603146,0.00026939972,0.00010637995,0.00009665261,0.0000060837265,0.0000051718357,0.0007731586,0.0000104262335,0.002701198],"genre_scores_gemma":[0.9958663,0.00033503817,0.00019373998,0.000042196025,0.0000030899855,0.0000031265433,0.0004714268,0.000016167824,0.0030689116],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981385,0.000007123678,0.000008040239,0.00003398653,0.000063621395,0.00007339011],"domain_scores_gemma":[0.999572,0.0000225049,0.000035146208,0.0000063724606,0.00029811464,0.00006583105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018392727,0.00021854795,0.00040052691,0.002025079,0.003607325,0.0018387608,0.00065292633,0.00037868824,0.0011910712],"category_scores_gemma":[0.000414631,0.00024793655,0.00021464999,0.002122128,0.0008612157,0.00033529193,0.0005396087,0.0002522151,0.00022422559],"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":[0.0009790589,0.000068884765,0.91701394,0.00010251817,0.00013738648,0.00054511783,0.003845634,0.001071972,0.048433013,0.0007649609,0.0015322961,0.025505148],"study_design_scores_gemma":[0.000011604385,0.000022193883,0.98736304,0.000023672583,0.000037992315,0.000111959715,0.0033384888,0.0007326483,0.0037919576,0.00010433852,0.0044465475,0.000015394071],"about_ca_topic_score_codex":0.984101,"about_ca_topic_score_gemma":0.99332196,"teacher_disagreement_score":0.015899003,"about_ca_system_score_codex":0.012597333,"about_ca_system_score_gemma":0.013417652,"threshold_uncertainty_score":0.091400504},"labels":[],"label_agreement":null},{"id":"W2999027138","doi":"","title":"The vulnerability of the Strait of Georgia (Canada) to future hypoxia and ocean acidification","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ocean acidification; Hypoxia (environmental); Oceanography; Vulnerability (computing); Environmental science; Geography; Climate change; Geology; Chemistry; Oxygen; Computer science","score_opus":0.011462586770770933,"score_gpt":0.21264173779894652,"score_spread":0.20117915102817557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999027138","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9823982,0.00073952007,0.00011331328,0.0037981851,0.00004641803,0.000026858597,0.00255146,0.000010024406,0.010316082],"genre_scores_gemma":[0.99495405,0.0009757162,0.00014751068,0.00036147167,0.000007639535,0.000008553134,0.0006227394,0.0000045659667,0.0029178022],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996012,0.00003575292,0.000010689594,0.000031443404,0.00007287532,0.00024795515],"domain_scores_gemma":[0.9992663,0.00003989149,0.00009773496,0.000017716147,0.00034156506,0.00023689526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026049174,0.00020508902,0.00017478199,0.00081172166,0.0022335313,0.0013207803,0.00079834793,0.00068942,0.0024425616],"category_scores_gemma":[0.0012930768,0.00018571207,0.0004219979,0.0021192792,0.0008732025,0.0003814388,0.0015300987,0.000649311,0.00022577103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025686555,0.000042163803,0.9472285,0.00014257575,0.00021629792,0.00094068324,0.0038315381,0.0037713565,0.001664734,0.0031811858,0.012713584,0.026010577],"study_design_scores_gemma":[0.000008806742,0.00002838755,0.97678554,0.000096487245,0.000040920666,0.00016349,0.012062754,0.00088091876,0.000105883235,0.0004662209,0.009332292,0.000028314225],"about_ca_topic_score_codex":0.9958549,"about_ca_topic_score_gemma":0.9988105,"teacher_disagreement_score":0.027308097,"about_ca_system_score_codex":0.027308097,"about_ca_system_score_gemma":0.043369953,"threshold_uncertainty_score":0.19813508},"labels":[],"label_agreement":null},{"id":"W2999272367","doi":"","title":"PFC2D Analysis of Frank Slide rockfall deposit (Turtle Mountain, Canada)","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Rockfall; Turtle (robot); Geology; Mining engineering; Geography; Forensic engineering; Archaeology; Geomorphology; Engineering; Fishery; Landslide; Biology","score_opus":0.006114510012940577,"score_gpt":0.20920552270201728,"score_spread":0.2030910126890767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999272367","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9598134,0.00027941947,0.0021072158,0.0001409824,0.000020408997,0.000035465302,0.015587185,0.00041147787,0.021604558],"genre_scores_gemma":[0.9845309,0.00015222875,0.0023968893,0.000024869627,0.000003273957,0.000012763363,0.004727219,0.00008877189,0.008063069],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989784,0.0000011523884,0.0000016990526,0.000017027714,0.00005883569,0.00002343804],"domain_scores_gemma":[0.9998845,0.0000032661887,0.000004983736,0.000003813038,0.000093793125,0.000009642493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007551965,0.0002663369,0.00022456105,0.0014369307,0.0011291734,0.00080628524,0.00050067937,0.00029811758,0.00587358],"category_scores_gemma":[0.00016055071,0.0001817571,0.00025037143,0.0014752469,0.0002768734,0.00013682013,0.00024867235,0.00021874475,0.00065628934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011569024,0.00019291574,0.51503927,0.00051659095,0.00026005643,0.0032159067,0.0016921912,0.0881136,0.24875844,0.0027548508,0.027469123,0.11083028],"study_design_scores_gemma":[0.00003474298,0.000032120854,0.8931332,0.00003143596,0.00006575509,0.00027263697,0.001007864,0.05229954,0.03088807,0.00022785625,0.021963164,0.00004367486],"about_ca_topic_score_codex":0.90870976,"about_ca_topic_score_gemma":0.92143357,"teacher_disagreement_score":0.091290236,"about_ca_system_score_codex":0.0037638329,"about_ca_system_score_gemma":0.0026388464,"threshold_uncertainty_score":0.18365568},"labels":[],"label_agreement":null},{"id":"W2999458477","doi":"","title":"Contribution of the GRACE and GOCE models to a geopotential-based geodetic vertical datum in Canada","year":2013,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geodetic datum; Geodesy; Geopotential; Geology; Geopotential height; Global Positioning System; Remote sensing; Meteorology; Computer science; Geography","score_opus":0.02114559826451019,"score_gpt":0.19516309898985673,"score_spread":0.17401750072534655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999458477","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92945826,0.001567336,0.0036014728,0.0047657583,0.0002732147,0.000081193415,0.034693576,0.0015117149,0.024047447],"genre_scores_gemma":[0.9839933,0.00049374887,0.0016252269,0.00014459692,0.000016237163,0.000014747071,0.008984627,0.00021278506,0.004514696],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929965,0.00007323773,0.000030821167,0.0001546882,0.0002431847,0.00019839678],"domain_scores_gemma":[0.99721354,0.00026803475,0.000101390295,0.00013412217,0.0020446305,0.00023823416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011073785,0.0008399452,0.0008187076,0.0011335885,0.0016528663,0.0032078533,0.0022041071,0.0008357454,0.00347603],"category_scores_gemma":[0.0055938573,0.0005704361,0.0009957729,0.002680036,0.0006477322,0.0013834006,0.0009562169,0.0010203001,0.0006069243],"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":[0.0010999374,0.0001548406,0.22626573,0.00024863766,0.0006638784,0.00029447867,0.00045786536,0.675965,0.0022660708,0.009314834,0.035419524,0.047849327],"study_design_scores_gemma":[0.00025790377,0.000034230376,0.17396897,0.00012285593,0.0003747871,0.000042389896,0.0008266686,0.7998598,0.002215472,0.0016878574,0.020402126,0.00020692837],"about_ca_topic_score_codex":0.99690527,"about_ca_topic_score_gemma":0.995321,"teacher_disagreement_score":0.03154924,"about_ca_system_score_codex":0.03154924,"about_ca_system_score_gemma":0.037332334,"threshold_uncertainty_score":0.22890687},"labels":[],"label_agreement":null},{"id":"W2999750900","doi":"","title":"The role of partial melting and syn-orogenic deformation in the pre-concentration of uranium and thorium. The example of the CAGE District (Northern Quebec).","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Thorium; Partial melting; Uranium; Geology; Deformation (meteorology); Geochemistry; Metallurgy; Materials science; Crust","score_opus":0.019760326526598086,"score_gpt":0.22336535648879188,"score_spread":0.2036050299621938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999750900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91147876,0.005199063,0.0012128467,0.0036396212,0.00005082886,0.00004722974,0.00409125,0.000071328104,0.074209034],"genre_scores_gemma":[0.99655664,0.00039565514,0.0002955536,0.000048313923,0.0000031569507,0.0000037851842,0.00019518979,0.000008499869,0.0024931382],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998264,0.000027755459,0.000005979371,0.000029843359,0.000028777313,0.00008138582],"domain_scores_gemma":[0.9996859,0.00005364124,0.000063500454,0.000016966016,0.00013232346,0.000047709415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000304613,0.00021195992,0.0002358966,0.0011126534,0.0022664366,0.0013380903,0.0007631985,0.0007416904,0.0068549067],"category_scores_gemma":[0.0009871493,0.00018462625,0.00019125051,0.0018797357,0.0017846997,0.00059162575,0.00073891145,0.0004693828,0.00026965034],"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":[0.0009146893,0.000090452995,0.7677695,0.0005345588,0.00031549498,0.0027473688,0.0031118796,0.028435037,0.019527502,0.04035997,0.015924457,0.12026914],"study_design_scores_gemma":[0.000015787018,0.000030434601,0.97402906,0.00009749526,0.00006389908,0.00024506662,0.0030384504,0.004967907,0.0010529286,0.0020580725,0.014362564,0.000038446644],"about_ca_topic_score_codex":0.974141,"about_ca_topic_score_gemma":0.98861337,"teacher_disagreement_score":0.025858998,"about_ca_system_score_codex":0.022247521,"about_ca_system_score_gemma":0.009342478,"threshold_uncertainty_score":0.16141784},"labels":[],"label_agreement":null},{"id":"W3000495302","doi":"","title":"Sea-Ice Thickness Monitoring from Sensor Equipped Inuit Sleds","year":2013,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Sea ice; Remote sensing; Geodesy; Oceanography","score_opus":0.02439489409055878,"score_gpt":0.23430607997236025,"score_spread":0.20991118588180147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000495302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907223,0.000040249815,0.0030432397,0.000020697285,0.000021243159,0.000020482177,0.0017362288,0.00013392113,0.004261644],"genre_scores_gemma":[0.98933315,0.00004314498,0.0052543976,0.000026576947,0.000006781715,0.00002057436,0.0018391802,0.000031104213,0.0034451052],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998617,0.000012588014,0.000007455627,0.000045023382,0.00004854378,0.000024668521],"domain_scores_gemma":[0.99982387,0.000016415333,0.000021254247,0.00001918393,0.00009393514,0.000025434218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017083237,0.00030716677,0.00032287423,0.00042219367,0.0003476703,0.00054999243,0.00051109394,0.00028916638,0.0015376755],"category_scores_gemma":[0.00028189184,0.00016859778,0.00019578723,0.00052150676,0.00012712908,0.0004532449,0.0003847668,0.00019351128,0.0006312317],"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":[0.002626862,0.00032726882,0.4962669,0.00022885164,0.00015388732,0.0007231331,0.0014957568,0.010000535,0.3986234,0.0004705988,0.004255648,0.08482717],"study_design_scores_gemma":[0.00013083243,0.00079926965,0.8009367,0.00006651767,0.00017842265,0.00050844665,0.0013666585,0.0679346,0.11328666,0.00014516994,0.014559185,0.00008750348],"about_ca_topic_score_codex":0.01696292,"about_ca_topic_score_gemma":0.061579444,"teacher_disagreement_score":0.98303705,"about_ca_system_score_codex":0.00032558976,"about_ca_system_score_gemma":0.00032690883,"threshold_uncertainty_score":0.03372836},"labels":[],"label_agreement":null},{"id":"W3000551741","doi":"","title":"Enhanced sea-ice export from the Arctic to the GIN seas during the Younger Dryas: A \"Canadian\" source from radiogenic isotope signatures","year":2012,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Radiogenic nuclide; Younger Dryas; Geology; Fjord; Arctic; Oceanography; Geochemistry; Physical geography; Holocene; Mantle (geology); Geography","score_opus":0.020105947497807503,"score_gpt":0.2322533781913307,"score_spread":0.2121474306935232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000551741","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937495,0.0003454211,0.00015134583,0.00031712482,0.000013850677,0.000008083329,0.001606041,0.000012437021,0.003796215],"genre_scores_gemma":[0.997081,0.00040497008,0.0001926592,0.000063669955,0.000009071629,0.0000027168185,0.0008501199,0.000013638951,0.0013822127],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992514,0.0000024248209,0.000004952941,0.000021673122,0.000016643147,0.000029061064],"domain_scores_gemma":[0.99971443,0.000016886435,0.00003896005,0.000007967509,0.00017477744,0.000046883644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023318166,0.0003429181,0.0002849849,0.00081287033,0.0015031556,0.001348675,0.00033357315,0.00021881798,0.0021019462],"category_scores_gemma":[0.00048705796,0.00018388379,0.00023729862,0.0011431817,0.00043570306,0.00046776168,0.0006065666,0.0003877518,0.00014394095],"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":[0.00077916443,0.000028878272,0.94147605,0.00013743405,0.00010148104,0.0004428728,0.0019304692,0.00068124814,0.031815097,0.0013333753,0.0010632374,0.020210594],"study_design_scores_gemma":[0.000007794998,0.0000059219833,0.996709,0.000012209665,0.000024143643,0.00004456346,0.0004869398,0.00016202066,0.0007170488,0.000042690117,0.00178083,0.00000677431],"about_ca_topic_score_codex":0.9306221,"about_ca_topic_score_gemma":0.96064043,"teacher_disagreement_score":0.0693779,"about_ca_system_score_codex":0.006398226,"about_ca_system_score_gemma":0.006880662,"threshold_uncertainty_score":0.13957292},"labels":[],"label_agreement":null},{"id":"W3004564466","doi":"","title":"Numerical validation of the 'Pop-Down tectonics' as a structural frame for hot lithospheres with particular reference to the Hearne craton (Canadian Shield)","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological and Geochemical Analysis","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":"Geology; Craton; Tectonics; Orogeny; Unconformity; Shear zone; Shield; Geochemistry; Geophysics; Petrology; Seismology","score_opus":0.02694971755124067,"score_gpt":0.24862327864203723,"score_spread":0.22167356109079656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004564466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97851187,0.00020208285,0.0044566817,0.0004553215,0.000075013784,0.00008636933,0.0010878586,0.00020981274,0.01491503],"genre_scores_gemma":[0.9956131,0.00007620609,0.0027609915,0.00004356194,0.000009548312,0.000035276054,0.00039745632,0.00002973081,0.0010341422],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998024,0.000040973962,0.000014484582,0.000030709893,0.000043827124,0.00006752077],"domain_scores_gemma":[0.9992399,0.00029995025,0.00008929169,0.00009265284,0.0001854891,0.000092739465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049249514,0.0006671679,0.00053569296,0.0005274616,0.0008217569,0.0013100554,0.0012547283,0.0014783111,0.003520125],"category_scores_gemma":[0.0021273093,0.00026144643,0.0005107618,0.0005245161,0.0015238865,0.0003822613,0.0007553264,0.0009687177,0.0002657036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000099557525,0.00008183648,0.0073534963,0.000057079495,0.000026396727,0.000113301234,0.000078610836,0.98506016,0.0025002493,0.0021458056,0.00033447205,0.0021490578],"study_design_scores_gemma":[0.000047309877,0.00004879183,0.0039633363,0.000015548278,0.000010508439,0.000012464022,0.00007794242,0.99447954,0.00062439096,0.0003174032,0.00038971956,0.000013076666],"about_ca_topic_score_codex":0.2792039,"about_ca_topic_score_gemma":0.12736356,"teacher_disagreement_score":0.7207961,"about_ca_system_score_codex":0.0013402668,"about_ca_system_score_gemma":0.0020471858,"threshold_uncertainty_score":0.5551575},"labels":[],"label_agreement":null},{"id":"W3004620766","doi":"","title":"Groundwater—Surface waters interactions at slope and catchment scales: implications for landsliding in clay-rich slopes","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Landslides and related hazards","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; Landslide; Groundwater; Marl; Weathering; Hydrogeology; Groundwater flow; Hydrology (agriculture); Drainage basin; Infiltration (HVAC); Geomorphology; Structural basin; Geochemistry; Aquifer; Geotechnical engineering","score_opus":0.030907476162345276,"score_gpt":0.28872958145668065,"score_spread":0.25782210529433536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004620766","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99643266,0.0007765321,0.0008988039,0.00040159677,0.0000065551835,0.000014629808,0.0001316473,0.000021786753,0.0013157456],"genre_scores_gemma":[0.9992818,0.0002940844,0.00015655451,0.00001590345,0.0000048690904,0.0000044057037,0.000040121027,0.0000022826407,0.00020000017],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999882,0.000046439392,0.000005424453,0.00002032352,0.000011826599,0.000033983397],"domain_scores_gemma":[0.99985445,0.00005351528,0.00003363377,0.0000043651853,0.00002538072,0.000028706414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002219118,0.0002063597,0.0003212512,0.0004853367,0.00033357984,0.0009594365,0.0002501269,0.00044936172,0.0013627192],"category_scores_gemma":[0.00048330173,0.00015746719,0.00027069094,0.0009608836,0.0005611013,0.0005438347,0.0006281895,0.000200328,0.00009591601],"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":[0.0004507465,0.00025703086,0.8541326,0.00029950187,0.00019744074,0.0016468285,0.0016266586,0.040030267,0.04345954,0.005048743,0.0011262571,0.05172435],"study_design_scores_gemma":[0.000020955942,0.00030659736,0.94997025,0.0000441199,0.000092406946,0.00015534146,0.0038336955,0.037719954,0.0025255426,0.0040624854,0.0012340036,0.000034519944],"about_ca_topic_score_codex":0.02162214,"about_ca_topic_score_gemma":0.023122888,"teacher_disagreement_score":0.02162214,"about_ca_system_score_codex":0.00084692513,"about_ca_system_score_gemma":0.0004763735,"threshold_uncertainty_score":0.04299259},"labels":[],"label_agreement":null},{"id":"W3004817480","doi":"","title":"Preliminary paleomagnetic study of the Thetford Mines Ordovician Ophiolite (Canada)","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geomagnetism and Paleomagnetism Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ophiolite; Geology; Ordovician; Paleomagnetism; Paleontology; Paleozoic; Mining engineering; Seismology; Tectonics","score_opus":0.013233363908914574,"score_gpt":0.22363784977919918,"score_spread":0.2104044858702846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004817480","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9866216,0.00072482665,0.00020910792,0.00014148963,0.000008880812,0.000046671365,0.0015497528,0.000011490674,0.010686255],"genre_scores_gemma":[0.9911375,0.00039784113,0.00032650016,0.000055083874,0.0000044431595,0.00001050307,0.0010422076,0.000007123683,0.0070187887],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975306,0.0000082042325,0.000009255884,0.000037099424,0.00010829573,0.00008401743],"domain_scores_gemma":[0.9994099,0.000023896946,0.0000337521,0.0000140121765,0.00041077682,0.000107711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025125121,0.0002975562,0.00035137346,0.002972844,0.0037926103,0.0011552492,0.0007838846,0.0004328454,0.0025497286],"category_scores_gemma":[0.0007553653,0.00024266187,0.00022791917,0.0032318577,0.0009439749,0.00027750447,0.00066241925,0.0004057861,0.0004580078],"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":[0.0026796174,0.00043236665,0.71432966,0.00046178413,0.00015533472,0.0029382585,0.006980707,0.0035358034,0.20395859,0.002810058,0.0025198665,0.059197877],"study_design_scores_gemma":[0.00001373733,0.00005341751,0.9865378,0.000016305878,0.000017163771,0.00019615919,0.0015025948,0.0002477399,0.0037764728,0.00008802163,0.0075431596,0.000007383454],"about_ca_topic_score_codex":0.9723337,"about_ca_topic_score_gemma":0.98371685,"teacher_disagreement_score":0.02766627,"about_ca_system_score_codex":0.009714483,"about_ca_system_score_gemma":0.0102206245,"threshold_uncertainty_score":0.07048386},"labels":[],"label_agreement":null},{"id":"W3005810346","doi":"","title":"Multi-method geo- and thermochronology of glacially transported cobbles reveals the tectonic and exhumation history of the St. Elias Mountains (Alaska/Yukon)","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Thermochronology; Geology; Tectonics; Paleontology; Geomorphology","score_opus":0.03475135760886215,"score_gpt":0.2608307937770866,"score_spread":0.22607943616822446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005810346","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99381447,0.00020898826,0.0025690603,0.00003936672,0.000020621128,0.000004401274,0.00074057415,0.00016579161,0.0024367478],"genre_scores_gemma":[0.9967925,0.000024218056,0.0019054092,0.0000048881643,0.0000034838781,0.0000028887707,0.00040573266,0.000035437683,0.0008254408],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99987507,0.000012364758,0.000008251863,0.000060770763,0.000024447621,0.000019171708],"domain_scores_gemma":[0.9997708,0.000024946114,0.000038384285,0.00004268736,0.00009859033,0.000024623714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040052115,0.00021076665,0.00017389281,0.0014046337,0.00061799586,0.00062263745,0.0003118829,0.00040990885,0.0019294525],"category_scores_gemma":[0.00056231424,0.00020442053,0.00020437027,0.0009103436,0.0002075183,0.00034723803,0.000460393,0.0002203186,0.00052485365],"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":[0.00085019897,0.00015365492,0.81046337,0.00010149444,0.0002564842,0.00021167667,0.0010375998,0.043681838,0.04823564,0.0009867758,0.0018484887,0.0921727],"study_design_scores_gemma":[0.00003075552,0.000041424377,0.94817924,0.000024703846,0.00007091855,0.00016816711,0.00033433674,0.044428125,0.0042925226,0.00029825437,0.0021054666,0.000026106101],"about_ca_topic_score_codex":0.07486208,"about_ca_topic_score_gemma":0.27848682,"teacher_disagreement_score":0.92513794,"about_ca_system_score_codex":0.0006555345,"about_ca_system_score_gemma":0.0006734023,"threshold_uncertainty_score":0.14885265},"labels":[],"label_agreement":null},{"id":"W3005867159","doi":"","title":"Supercritical flow bedforms in active (and less active) turbidite systems of Eastern and Arctic Canada","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bedform; Geology; Turbidite; Supercritical flow; Flow (mathematics); Oceanography; Arctic; Geomorphology; Mathematics; Sediment; Sediment transport","score_opus":0.04155162283216682,"score_gpt":0.23175704446844164,"score_spread":0.19020542163627482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005867159","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99863726,0.000065754124,0.000027150623,0.0000157693,0.0000016703221,0.000002987359,0.00027251884,0.0000044910666,0.0009723554],"genre_scores_gemma":[0.99923575,0.000050858565,0.00003750444,0.0000059992794,8.9871907e-7,0.0000017106214,0.0001893926,0.000002937367,0.00047486843],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998354,0.00000849624,0.000009330493,0.000028015449,0.00003585066,0.00008288268],"domain_scores_gemma":[0.9994524,0.000060358634,0.00005529689,0.000014572644,0.00028002117,0.00013740739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017776903,0.00018843668,0.0002667631,0.0022253066,0.002551359,0.0016786389,0.00058990304,0.00034093455,0.0019823122],"category_scores_gemma":[0.00062000204,0.0002490444,0.00028063392,0.0022133074,0.0011901367,0.00046792979,0.0009144216,0.00024844392,0.00019899539],"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":[0.00029691725,0.00004408645,0.977437,0.000037363057,0.000056765497,0.00016673157,0.0045041214,0.0010288304,0.004801192,0.00039055734,0.0005843178,0.01065221],"study_design_scores_gemma":[0.0000025030301,0.0000042440834,0.9967361,0.0000065496547,0.00000684941,0.000019854386,0.0021889964,0.00045402546,0.00017873192,0.000018482266,0.00037786126,0.0000057984075],"about_ca_topic_score_codex":0.9796284,"about_ca_topic_score_gemma":0.9913133,"teacher_disagreement_score":0.020371616,"about_ca_system_score_codex":0.009317043,"about_ca_system_score_gemma":0.0070440173,"threshold_uncertainty_score":0.06760019},"labels":[],"label_agreement":null},{"id":"W3006363902","doi":"","title":"P-T-t paths across the New Quebec Orogen and relationships to tectonics","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Tectonics; Paleontology","score_opus":0.03378678385904154,"score_gpt":0.24884185163378386,"score_spread":0.21505506777474231,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006363902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9343844,0.0013408858,0.0014970236,0.002304685,0.00003997095,0.000053938427,0.015171936,0.00006552844,0.045141585],"genre_scores_gemma":[0.98712456,0.00035782348,0.0005665511,0.00006433984,0.0000051005527,0.000016493075,0.0018661398,0.000026407282,0.009972718],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997633,0.000029987657,0.0000110102965,0.00004973857,0.000036313144,0.000109670844],"domain_scores_gemma":[0.99821186,0.0002583454,0.00025068203,0.000057202113,0.0009955635,0.00022636716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002928659,0.00021706,0.00018483443,0.0022130127,0.0019516876,0.001720761,0.0006092756,0.00029537163,0.021971624],"category_scores_gemma":[0.002741084,0.00016867141,0.000325264,0.004673531,0.00085806136,0.00072688574,0.0007802846,0.00072305684,0.00065649487],"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":[0.00024975382,0.000036837708,0.92311794,0.00007848727,0.00013514905,0.00032385899,0.0033791887,0.0038978234,0.0011394434,0.01200399,0.010451267,0.045186233],"study_design_scores_gemma":[0.000007848835,0.000009015768,0.983448,0.000054379925,0.000026522861,0.000051418996,0.002081167,0.00253282,0.00012769141,0.00066924084,0.01097938,0.000012542176],"about_ca_topic_score_codex":0.99295443,"about_ca_topic_score_gemma":0.9974004,"teacher_disagreement_score":0.021971624,"about_ca_system_score_codex":0.018475788,"about_ca_system_score_gemma":0.014221022,"threshold_uncertainty_score":0.13405186},"labels":[],"label_agreement":null},{"id":"W3007975253","doi":"","title":"The (cQ)2 collaboration: assessing watershed scale hydrological changes for the province of Québec at the 2050 horizon","year":2013,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Watershed; Horizon; Scale (ratio); Environmental science; Hydrology (agriculture); Time horizon; Water resource management; Geography; Environmental resource management; Regional science; Computer science; Business; Geology; Cartography; Mathematics","score_opus":0.01874028117515652,"score_gpt":0.24699357136990546,"score_spread":0.22825329019474894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007975253","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4256913,0.0053912066,0.018961545,0.036440857,0.0021865135,0.001898924,0.4201938,0.0022875946,0.086948305],"genre_scores_gemma":[0.8002497,0.001765243,0.036612615,0.0059080804,0.0002543292,0.0009840586,0.07923365,0.0005532488,0.07443907],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984944,0.00035369897,0.000049163427,0.00021802526,0.0005827891,0.00030200547],"domain_scores_gemma":[0.99268746,0.0005043561,0.00026788653,0.00030782842,0.0047534844,0.0014789129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004188882,0.00084356946,0.0008248358,0.0015668216,0.0029019255,0.0027958122,0.00171127,0.0015927531,0.005538675],"category_scores_gemma":[0.006107329,0.00032266066,0.00089519285,0.0033811454,0.0005506922,0.0010219452,0.0015922998,0.0010930654,0.00067556626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012012062,0.00065712415,0.2958639,0.00048639695,0.0011948242,0.0005199406,0.0014817487,0.035955474,0.003721073,0.0040308214,0.533599,0.12128849],"study_design_scores_gemma":[0.00062738877,0.00033432597,0.67858815,0.00034013958,0.0004270931,0.00011010485,0.004037057,0.054708585,0.0032703918,0.001705831,0.25566453,0.00018637633],"about_ca_topic_score_codex":0.99605703,"about_ca_topic_score_gemma":0.9973441,"teacher_disagreement_score":0.03446161,"about_ca_system_score_codex":0.03446161,"about_ca_system_score_gemma":0.09259274,"threshold_uncertainty_score":0.25003767},"labels":[],"label_agreement":null},{"id":"W3009646124","doi":"","title":"Reflection seismic studies in the Bathurst Mining Camp, Canada: Implications for crustal scale architecture and mineral potentials","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Reflection (computer programming); Geology; Scale (ratio); Mineral exploration; Seismology; Architecture; Mining engineering; Geophysics; Archaeology; Cartography; Geography","score_opus":0.05605673775434244,"score_gpt":0.289178999124328,"score_spread":0.23312226136998554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009646124","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949531,0.00016166706,0.0000951117,0.00035368392,0.000004401974,0.00002579278,0.0010778046,0.000009660013,0.0033187578],"genre_scores_gemma":[0.99526536,0.00028359468,0.0003137913,0.00006717207,0.000002996651,0.000013204392,0.0006229737,0.000011372524,0.0034195036],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996246,0.000020428142,0.000013354828,0.000051080755,0.00011802415,0.00017259925],"domain_scores_gemma":[0.99909186,0.00005616194,0.00008531889,0.000017243116,0.00060478033,0.000144644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003259528,0.00034854494,0.0004634649,0.0017551541,0.0046589025,0.0018588852,0.0017572605,0.0007090826,0.0039033084],"category_scores_gemma":[0.0015583081,0.00047016717,0.0003184103,0.0057680896,0.0016285247,0.0006790927,0.0011816015,0.0007147074,0.00051652035],"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":[0.00079539523,0.0002539723,0.8895743,0.00033285096,0.00011373628,0.0017124838,0.033019632,0.0019609143,0.011497725,0.002119499,0.0048771654,0.05374237],"study_design_scores_gemma":[0.000020105288,0.000029814855,0.97259426,0.000061540784,0.000022156308,0.0001489255,0.023295835,0.00096795807,0.00039877475,0.00011694258,0.0023224317,0.000021258129],"about_ca_topic_score_codex":0.99658585,"about_ca_topic_score_gemma":0.9990879,"teacher_disagreement_score":0.023668183,"about_ca_system_score_codex":0.023668183,"about_ca_system_score_gemma":0.03738625,"threshold_uncertainty_score":0.17172551},"labels":[],"label_agreement":null},{"id":"W3009774959","doi":"","title":"Simulated thaw development of a peat plateau-bog complex in a discontinuous permafrost region, Northwest Territories, Canada","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Peat; Permafrost; Bog; Plateau (mathematics); Physical geography; Geology; Geography; Archaeology; Oceanography","score_opus":0.08306268337245416,"score_gpt":0.2543300243336212,"score_spread":0.17126734096116702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009774959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971896,0.000022854632,0.00018303795,0.000075741154,0.0000059439167,0.000018579585,0.0010792667,0.000036614507,0.0013883515],"genre_scores_gemma":[0.99842656,0.000018393237,0.0002559462,0.000017625995,0.0000011162111,0.000013017731,0.00060119113,0.000008649857,0.0006574957],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998373,0.000023781391,0.000007721453,0.000028858096,0.00002325399,0.00007908306],"domain_scores_gemma":[0.99962234,0.000071500705,0.00002665978,0.000019476756,0.00012571116,0.00013428417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029895097,0.00033699552,0.00039131535,0.00045780247,0.0015041914,0.0010857049,0.0013705428,0.0010310659,0.0023192898],"category_scores_gemma":[0.0009476438,0.00039693902,0.0006108516,0.0007652777,0.0008311824,0.00042724598,0.0006148334,0.0005055091,0.00016097672],"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":[0.0006155749,0.00038010644,0.22556712,0.00006569946,0.0001982178,0.0005996166,0.00045786015,0.76205385,0.0028524247,0.0008419321,0.0025439647,0.0038236242],"study_design_scores_gemma":[0.00027324798,0.00012314494,0.21939898,0.000027131344,0.000077628036,0.000056417997,0.001758351,0.77523965,0.0011540536,0.00026424625,0.0015589258,0.00006825068],"about_ca_topic_score_codex":0.9653579,"about_ca_topic_score_gemma":0.97144914,"teacher_disagreement_score":0.0346421,"about_ca_system_score_codex":0.013588106,"about_ca_system_score_gemma":0.011537048,"threshold_uncertainty_score":0.09858906},"labels":[],"label_agreement":null},{"id":"W3009975559","doi":"","title":"Estimating the Curie point depth using aeromagnetic data with a fractal model in the Province of Québec, eastern Canada","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Fractal; Geology; Point (geometry); Geodesy; Geography; Seismology; Geometry; Mathematics; Mathematical analysis","score_opus":0.04626498170762809,"score_gpt":0.2709084933013564,"score_spread":0.2246435115937283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009975559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99060315,0.00048824094,0.0015621454,0.0003631165,0.000012773292,0.000040219384,0.0038990797,0.00009141925,0.002939825],"genre_scores_gemma":[0.99563885,0.00015096737,0.0013711723,0.00002654964,0.0000032404996,0.0000155202,0.0013565229,0.000013747237,0.0014234588],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995202,0.00006650477,0.000026087964,0.00009776091,0.00012379911,0.00016565189],"domain_scores_gemma":[0.99812406,0.0003079764,0.00015203425,0.00007738337,0.001135648,0.00020286365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077520224,0.00051650486,0.00045546176,0.0022549594,0.00184988,0.0016759265,0.0014273797,0.0006488888,0.0013152012],"category_scores_gemma":[0.0027922092,0.00033695102,0.00057365245,0.0032683841,0.0007728633,0.00051963935,0.0006047255,0.0005670835,0.00022852105],"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":[0.00021180719,0.00014000935,0.8704098,0.0001126341,0.0002720693,0.0004092781,0.001102525,0.078167915,0.0014461672,0.0019667197,0.005798693,0.039962374],"study_design_scores_gemma":[0.000037002006,0.00001951707,0.8682916,0.00006978002,0.00006663901,0.000040852006,0.0018527022,0.12509513,0.00033643853,0.0002445617,0.0038772246,0.00006849493],"about_ca_topic_score_codex":0.9988464,"about_ca_topic_score_gemma":0.99909925,"teacher_disagreement_score":0.030618472,"about_ca_system_score_codex":0.030618472,"about_ca_system_score_gemma":0.027881416,"threshold_uncertainty_score":0.2221536},"labels":[],"label_agreement":null},{"id":"W3010002748","doi":"","title":"Reconstructing the lake-level history of former glacial lakes through the study of relict wave-cut terraces: the case of Lake Ojibway (eastern Canada)","year":2014,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Glacial period; Geology; Physical geography; Glacial lake; Paleolimnology; Geomorphology; Oceanography; Holocene; Geography","score_opus":0.07644473750169481,"score_gpt":0.25719788037615765,"score_spread":0.18075314287446284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010002748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963844,0.00019060055,0.00018794894,0.00013754154,0.000001603226,0.000011629734,0.0004655094,0.000010176502,0.0026107868],"genre_scores_gemma":[0.9979792,0.00018017118,0.0005739999,0.000016168031,0.0000010151305,0.0000045087036,0.0003473707,0.000008894304,0.0008886343],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988616,0.000009300282,0.000004630053,0.000018354718,0.000023949706,0.00005757863],"domain_scores_gemma":[0.9996662,0.00005390326,0.00004141112,0.000020339065,0.00014800506,0.00007019417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021017648,0.00024110195,0.00022117395,0.00161774,0.0019481111,0.001952008,0.00084874773,0.0004644806,0.0019300744],"category_scores_gemma":[0.0011565738,0.00031325128,0.00027158152,0.0035268303,0.0010491067,0.00046993102,0.00087665726,0.00048941234,0.00018678825],"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":[0.0002560524,0.000076446,0.9236957,0.00011647644,0.00016658069,0.0015967358,0.008927272,0.012423247,0.006058621,0.0035719443,0.0018100197,0.041300848],"study_design_scores_gemma":[0.000010831765,0.000010080671,0.9823186,0.000037885835,0.000038554706,0.00012110546,0.009042499,0.0052157603,0.00023704518,0.00034355503,0.0026043572,0.000019749423],"about_ca_topic_score_codex":0.9854774,"about_ca_topic_score_gemma":0.9959798,"teacher_disagreement_score":0.014522612,"about_ca_system_score_codex":0.008776333,"about_ca_system_score_gemma":0.012218423,"threshold_uncertainty_score":0.06367707},"labels":[],"label_agreement":null},{"id":"W3010098793","doi":"","title":"Chances of short-term cooling trends over Canada for the next decades","year":2014,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Term (time)","score_opus":0.022955442060421244,"score_gpt":0.2431403953839327,"score_spread":0.22018495332351146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010098793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91874486,0.007017804,0.0005028953,0.0210983,0.00032770177,0.000039796992,0.032558743,0.00010253248,0.019607384],"genre_scores_gemma":[0.9831722,0.0025455824,0.00020942095,0.0006509697,0.00005999507,0.000015749229,0.006476969,0.000020189053,0.006848863],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993462,0.000020370011,0.000030151614,0.00006600979,0.00013992435,0.00039729578],"domain_scores_gemma":[0.9964149,0.00012682576,0.0004511595,0.00005863097,0.0022506316,0.00069781917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007295023,0.00033830275,0.00027005683,0.0014389134,0.002690195,0.001941644,0.00088528846,0.0012162959,0.0071010566],"category_scores_gemma":[0.0029822646,0.00021073612,0.0009424391,0.0031881975,0.00075969624,0.001275407,0.0010003352,0.0017567271,0.00049842923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005433153,0.00008468492,0.93695945,0.00019101867,0.0002857781,0.00042330593,0.0013652779,0.0039757225,0.0011027782,0.0043710726,0.02521345,0.025484253],"study_design_scores_gemma":[0.000016711794,0.000042516393,0.9763914,0.000088813125,0.00008622869,0.00008872533,0.0028079227,0.0016349565,0.0003041619,0.00047690954,0.018017896,0.000043653257],"about_ca_topic_score_codex":0.9880976,"about_ca_topic_score_gemma":0.99126655,"teacher_disagreement_score":0.019078527,"about_ca_system_score_codex":0.019078527,"about_ca_system_score_gemma":0.036278892,"threshold_uncertainty_score":0.138425},"labels":[],"label_agreement":null},{"id":"W3011432403","doi":"","title":"Effects of Chinook winds (foehn) on snow cover in western Canada","year":2012,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Climatology; Chinook wind; Snow; Snow cover; Geology; Snow line; Physical geography; Geography; Meteorology; Environmental science; Fish <Actinopterygii>; Fishery","score_opus":0.016943580191479735,"score_gpt":0.21659142796336517,"score_spread":0.19964784777188543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011432403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957301,0.00022333398,0.00003386618,0.00022558525,0.000013835887,0.0000110167275,0.0015649829,0.000013841694,0.0021833791],"genre_scores_gemma":[0.99707663,0.00019677397,0.00006584122,0.000067750545,0.0000047022504,0.000007506647,0.0008209647,0.000008347598,0.0017514414],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996178,0.000026310396,0.00001838025,0.000046937355,0.0001004681,0.00019006403],"domain_scores_gemma":[0.9985208,0.00011033301,0.00013907792,0.00003001567,0.0006669917,0.00053293275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031812963,0.00036230276,0.0004243604,0.0010732587,0.0029686547,0.0015920511,0.0008697792,0.00060769735,0.002688562],"category_scores_gemma":[0.0011237663,0.00032323212,0.0006332841,0.0024331734,0.00074435625,0.0004368488,0.0008352912,0.000647248,0.00027744815],"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":[0.00056849286,0.00008752961,0.98300767,0.000075473225,0.00021614443,0.00041872746,0.002330673,0.0010651392,0.0024148417,0.00025130837,0.002748347,0.0068157017],"study_design_scores_gemma":[0.000007699775,0.000011558257,0.9967278,0.000013991935,0.00002302133,0.00002020386,0.0019041848,0.00036006817,0.0001065058,0.000013292921,0.0008025435,0.00000909544],"about_ca_topic_score_codex":0.99763155,"about_ca_topic_score_gemma":0.99914837,"teacher_disagreement_score":0.027738338,"about_ca_system_score_codex":0.027738338,"about_ca_system_score_gemma":0.029228188,"threshold_uncertainty_score":0.20125669},"labels":[],"label_agreement":null},{"id":"W3012685406","doi":"","title":"Long-range transport of Siberian forest fire smoke to Canada's west coast identified by Lidar observations","year":2014,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Smoke; Lidar; West coast; Range (aeronautics); Environmental science; Meteorology; Physical geography; Remote sensing; Oceanography; Geology; Engineering","score_opus":0.01588008704520607,"score_gpt":0.21509620050955996,"score_spread":0.1992161134643539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012685406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956958,0.000101946534,0.00010482376,0.000055754157,0.000010850915,0.0000070507585,0.002000073,0.000012961158,0.0020108563],"genre_scores_gemma":[0.9964987,0.0000937268,0.00029667106,0.000023267476,0.0000033444553,0.000006081521,0.0017613231,0.0000041840476,0.0013127283],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999001,0.0000065153736,0.0000061163673,0.000019694004,0.00002138914,0.00004623876],"domain_scores_gemma":[0.9996309,0.000026109945,0.00004808752,0.000018520446,0.0002006672,0.00007558321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018240557,0.00021746293,0.00015542797,0.0008466665,0.0011852267,0.00070155505,0.00031032547,0.00034350314,0.0015327345],"category_scores_gemma":[0.00053097215,0.00014326314,0.00022885446,0.0012837267,0.00016833321,0.0002894723,0.0005265167,0.0002940491,0.00030000138],"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":[0.00009536595,0.000038989983,0.9828479,0.000020592279,0.00006116653,0.00027706067,0.00039263663,0.0013604611,0.0025531806,0.00011947307,0.0013657395,0.010867448],"study_design_scores_gemma":[0.0000042215574,0.000008032008,0.9952703,0.000015386016,0.000019787183,0.000034636927,0.00061599346,0.0027741354,0.00028942517,0.000018767283,0.0009434659,0.000005778423],"about_ca_topic_score_codex":0.92148453,"about_ca_topic_score_gemma":0.9506722,"teacher_disagreement_score":0.07851547,"about_ca_system_score_codex":0.0030072809,"about_ca_system_score_gemma":0.0056025055,"threshold_uncertainty_score":0.1579557},"labels":[],"label_agreement":null},{"id":"W3013571544","doi":"","title":"BISIP I: A program for Bayesian inference of spectral induced polarization parameters, and application to mineral exploration at the Canadian Malartic gold deposit, Québec, CA","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Inference; Bayesian inference; Bayesian probability; Mineral; Geology; Polarization (electrochemistry); Mineralogy; Computer science; Geochemistry; Artificial intelligence; Chemistry; Materials science; Metallurgy","score_opus":0.0249768762929939,"score_gpt":0.25553587366300534,"score_spread":0.23055899737001145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013571544","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":[0.014395786,0.00020396402,0.87157637,0.00020523895,0.000055952965,0.00022378558,0.017741494,0.089266725,0.006330719],"genre_scores_gemma":[0.09377943,0.0002870815,0.85269934,0.00023661321,0.000041047082,0.00068175804,0.024462335,0.013352523,0.014459904],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995515,0.00009722423,0.000029660567,0.00011622098,0.00014159783,0.000063823565],"domain_scores_gemma":[0.99859864,0.0005919262,0.00008678324,0.00013653075,0.00051889947,0.000067167006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022414397,0.0016817742,0.0009335598,0.0017025556,0.0018673668,0.0015667104,0.0036307753,0.0010540391,0.0295351],"category_scores_gemma":[0.0072139977,0.0014604492,0.0012211459,0.0015227152,0.00069703464,0.0010649455,0.0013834831,0.0019651765,0.005163328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00076947536,0.00021240406,0.020254845,0.00056742504,0.0006991916,0.00037802407,0.00097254384,0.26921767,0.0110120345,0.022063559,0.2183248,0.455528],"study_design_scores_gemma":[0.00018094796,0.000024445664,0.0055490737,0.000055659006,0.0000871256,0.0000891135,0.00010738832,0.9387414,0.006900897,0.009055151,0.03911669,0.00009210989],"about_ca_topic_score_codex":0.589048,"about_ca_topic_score_gemma":0.6960942,"teacher_disagreement_score":0.41095197,"about_ca_system_score_codex":0.004285218,"about_ca_system_score_gemma":0.00951146,"threshold_uncertainty_score":0.8267443},"labels":[],"label_agreement":null},{"id":"W3013889293","doi":"","title":"Late Paleozoic granitoid magmatism in Chukotka and its relation to Ellesmerian orogeny in Arctic Alaska and Canada","year":2013,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Orogeny; Geology; Paleozoic; Magmatism; Arctic; Alpine orogeny; Zircon; Geochemistry; Earth science; Physical geography; Paleontology; Oceanography; Geography; Tectonics; Mesozoic","score_opus":0.016711968173622985,"score_gpt":0.19405922116765073,"score_spread":0.17734725299402776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013889293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99806136,0.00031952822,0.000015526926,0.0000613555,0.0000033572956,0.0000021745818,0.00034264164,0.0000016921258,0.0011923899],"genre_scores_gemma":[0.99881315,0.00029998628,0.000024354302,0.00001471348,0.0000022433055,0.0000030179087,0.00037909995,0.0000029817168,0.00046050322],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99987626,0.000010115644,0.000012713513,0.000029919198,0.000012643494,0.00005830346],"domain_scores_gemma":[0.99925345,0.000092527815,0.00017464571,0.000021404521,0.0002845229,0.00017338578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025573978,0.00015007233,0.00024162435,0.0022125167,0.002585959,0.001403824,0.00043944773,0.00036252732,0.0020125024],"category_scores_gemma":[0.0009211536,0.00019841186,0.00023445685,0.003340655,0.0010144482,0.00057854515,0.0011529492,0.00042705765,0.00016115549],"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":[0.00017093432,0.000021147554,0.9872799,0.00004120071,0.00005967807,0.00021572316,0.005597101,0.00039219455,0.0014185089,0.00037261198,0.00027725854,0.004153781],"study_design_scores_gemma":[0.0000021827545,0.0000035694611,0.99577725,0.00002441069,0.000010868467,0.00002151187,0.0035581097,0.00009579701,0.000052744792,0.000024966967,0.00042557612,0.0000030114343],"about_ca_topic_score_codex":0.9341719,"about_ca_topic_score_gemma":0.97836566,"teacher_disagreement_score":0.065828085,"about_ca_system_score_codex":0.006990599,"about_ca_system_score_gemma":0.007733269,"threshold_uncertainty_score":0.13243145},"labels":[],"label_agreement":null},{"id":"W3014009024","doi":"","title":"High-resolution seismic imaging and modelling of the Cu-Au New Afton porphyry deposit, SW British Columbia, Canada","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Seismology; High resolution; Metallogeny; Geophysical imaging; Geochemistry; Remote sensing; Hydrothermal circulation","score_opus":0.01496125940610025,"score_gpt":0.18727496356373144,"score_spread":0.1723137041576312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014009024","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.981307,0.0002908165,0.0011144426,0.00035145198,0.000014884258,0.000062851206,0.003953232,0.0001919996,0.012713209],"genre_scores_gemma":[0.9945304,0.0001523425,0.00080219936,0.000024047098,0.000002180352,0.00001748963,0.0006027323,0.00003523927,0.0038333873],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981695,0.000008888726,0.000010135118,0.000034572124,0.00006416438,0.00006535514],"domain_scores_gemma":[0.9996575,0.000027472204,0.000024688947,0.000019643592,0.00022482962,0.000045793273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019209429,0.0004108695,0.00032936587,0.0014150713,0.0019995682,0.0020402903,0.001278735,0.00097280066,0.0038015693],"category_scores_gemma":[0.0011185581,0.0005351071,0.00028658344,0.0029004053,0.0006541038,0.00050081586,0.00045184573,0.0005651192,0.0006066866],"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":[0.0006255891,0.00031469512,0.32973114,0.0004296887,0.00026212315,0.0018018606,0.0019091512,0.5630421,0.020124052,0.0026260146,0.012802977,0.0663307],"study_design_scores_gemma":[0.000102466845,0.000028684266,0.590416,0.00010940293,0.00006396716,0.00013820319,0.0020430563,0.39470688,0.0024957715,0.0004868071,0.009298336,0.00011032799],"about_ca_topic_score_codex":0.9911903,"about_ca_topic_score_gemma":0.993937,"teacher_disagreement_score":0.014735494,"about_ca_system_score_codex":0.014735494,"about_ca_system_score_gemma":0.0154267475,"threshold_uncertainty_score":0.106913984},"labels":[],"label_agreement":null},{"id":"W3014022338","doi":"","title":"Total and pyrogenic carbon stocks in black spruce forest floors from eastern Canada","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Fire effects on ecosystems","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":true,"ca_institutions":"Université Laval; University of Alberta","funders":"","keywords":"Taiga; Forest floor; Carbon stock; Environmental science; Stock (firearms); Boreal; Black spruce; Forestry; Agroforestry; Soil science; Geology; Ecology; Soil water; Geography; Biology; Oceanography; Climate change","score_opus":0.008208194013792988,"score_gpt":0.19315280462233583,"score_spread":0.18494461060854284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014022338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985293,0.00018783765,0.00008113619,0.000005260882,9.466541e-7,0.0000065672607,0.0008220616,0.0000045162255,0.00036228553],"genre_scores_gemma":[0.998156,0.00014847337,0.0002526029,0.0000097889115,0.0000010651327,0.000005123057,0.00089924457,0.0000029656283,0.00052480266],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998252,0.000005530873,0.000008258804,0.000038604,0.00006608376,0.000056441324],"domain_scores_gemma":[0.99962664,0.000018796076,0.000048902417,0.000010152399,0.00021740078,0.00007820937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017362871,0.00045849377,0.00022083848,0.0020910883,0.0012587238,0.00084961025,0.00045528836,0.00020540743,0.0005739393],"category_scores_gemma":[0.00024681928,0.0002132278,0.00019292084,0.0015691813,0.0004083846,0.00021818298,0.00032688671,0.00015886009,0.00013117382],"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":[0.00021269922,0.000025036088,0.9717932,0.000048602604,0.000082181825,0.00023484278,0.00086790795,0.00042185053,0.016784841,0.000065041684,0.00015695981,0.009306837],"study_design_scores_gemma":[0.0000013213953,0.0000067002584,0.9986934,0.0000054998523,0.000008544096,0.000030318733,0.00034056022,0.00022482,0.00046174283,0.0000070622864,0.00021652962,0.0000034842228],"about_ca_topic_score_codex":0.958647,"about_ca_topic_score_gemma":0.98549205,"teacher_disagreement_score":0.041352987,"about_ca_system_score_codex":0.0056418553,"about_ca_system_score_gemma":0.0027980532,"threshold_uncertainty_score":0.083193004},"labels":[],"label_agreement":null},{"id":"W3015979721","doi":"","title":"A Pliocene chronostratigraphy for the Canadian western and high Arctic","year":2014,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Chronostratigraphy; Arctic; Geology; Paleontology; Physical geography; Geography; Oceanography; Structural basin","score_opus":0.03068901089060971,"score_gpt":0.21620871899432845,"score_spread":0.18551970810371873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015979721","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7659759,0.020503432,0.003931941,0.0030817173,0.00044640357,0.00018597783,0.074677326,0.00048076076,0.13071656],"genre_scores_gemma":[0.94243294,0.008056832,0.0046437057,0.0002512766,0.00005665276,0.00006428457,0.016170107,0.00016792094,0.028156381],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997962,0.000007886122,0.000014411258,0.00004460189,0.000060899638,0.00007597363],"domain_scores_gemma":[0.99759835,0.000050622777,0.00013764005,0.000042218977,0.0019938173,0.00017739458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006002379,0.00041369826,0.00016829485,0.007438195,0.003749932,0.0014459168,0.00053410913,0.00023976619,0.006922511],"category_scores_gemma":[0.0013465323,0.00028466256,0.00030742577,0.009653567,0.0005552486,0.0007266388,0.00056900363,0.0005323967,0.00073981716],"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":[0.00078234007,0.00006257642,0.57680345,0.0012609488,0.0003178284,0.0007831082,0.01927263,0.0052323644,0.0091741085,0.011412002,0.069213174,0.3056855],"study_design_scores_gemma":[0.000008643063,0.000011563953,0.86752754,0.00021342281,0.000054689954,0.000093445014,0.0018823518,0.00039845525,0.0005193517,0.00014870056,0.12912706,0.000014749293],"about_ca_topic_score_codex":0.99368507,"about_ca_topic_score_gemma":0.9982723,"teacher_disagreement_score":0.019499412,"about_ca_system_score_codex":0.019499412,"about_ca_system_score_gemma":0.03330254,"threshold_uncertainty_score":0.14147884},"labels":[],"label_agreement":null},{"id":"W3016635252","doi":"","title":"Assessing Stochastic Optimization for Rio Tinto Alcan's Hydropower System in Eastern Canada","year":2012,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Water resources management and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology","score_opus":0.02175480085196179,"score_gpt":0.23346910190142747,"score_spread":0.21171430104946568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016635252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919594,0.00014945588,0.002270063,0.0004399681,0.000016169986,0.000063978485,0.000763064,0.00005370001,0.004284101],"genre_scores_gemma":[0.9962728,0.00008691144,0.001253318,0.000032969932,0.0000042011334,0.000016983691,0.000455221,0.000014245511,0.0018634518],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993092,0.00019029967,0.000030813997,0.00008747497,0.00015951514,0.00022272678],"domain_scores_gemma":[0.9985019,0.00066278654,0.00010211496,0.0000433749,0.00043372068,0.000256039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014622743,0.0007611223,0.00080150476,0.0007718439,0.0018431882,0.0025254749,0.0014441779,0.0013239086,0.0012510152],"category_scores_gemma":[0.004077706,0.0005543702,0.00076655456,0.0012214135,0.0010023577,0.0005803223,0.0008146228,0.00092306366,0.00007930054],"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":[0.00009236749,0.000047731708,0.011300585,0.000021452901,0.000058949452,0.00014186933,0.000052694446,0.9841955,0.00020260001,0.0011794766,0.000666274,0.0020404914],"study_design_scores_gemma":[0.00003243963,0.000046660305,0.018915713,0.00001089898,0.00002841346,0.000014295935,0.0005242016,0.9789721,0.00024993037,0.0005228314,0.0006515319,0.000031129483],"about_ca_topic_score_codex":0.98065305,"about_ca_topic_score_gemma":0.9851178,"teacher_disagreement_score":0.027972745,"about_ca_system_score_codex":0.027972745,"about_ca_system_score_gemma":0.020630332,"threshold_uncertainty_score":0.20295739},"labels":[],"label_agreement":null},{"id":"W3016714206","doi":"","title":"Fabrics and geochronology of the Wushan ductile shear zone: Tectonic implications for the Shangdan suture zone in the Qinling orogen, Central China","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological and Geochemical 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":"Western University","funders":"","keywords":"Mylonite; Geology; Shear zone; Metamorphic facies; Shear (geology); Shearing (physics); Sinistral and dextral; Petrology; Geochemistry; Seismology; Granulite; Tectonics; Geomorphology; Facies; Geotechnical engineering; Structural basin","score_opus":0.02706493990422036,"score_gpt":0.24821553099963284,"score_spread":0.22115059109541246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016714206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987595,0.00012313534,0.00017240201,0.000011482155,0.0000013508844,0.0000049419987,0.00025077743,0.000014287239,0.00066216517],"genre_scores_gemma":[0.9992908,0.00005303145,0.00019489738,0.0000037458942,0.0000013884112,0.000003179384,0.00021084267,0.0000038730077,0.00023808607],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998739,0.000010080921,0.00000872366,0.000050596962,0.000027006361,0.000029695102],"domain_scores_gemma":[0.99982977,0.000014041021,0.000061318606,0.000012473418,0.000054104246,0.000028353963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036582325,0.00032200522,0.00019148077,0.0030017663,0.00058061414,0.0005793554,0.0002842387,0.00017738213,0.0014754203],"category_scores_gemma":[0.00028242773,0.00022841083,0.00019377255,0.002802895,0.00053412083,0.00025560035,0.00035775694,0.00010348548,0.00012020867],"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":[0.0001129145,0.000020656385,0.94699866,0.00008880698,0.00009397794,0.0002479964,0.002181433,0.0020838596,0.029336786,0.00077163795,0.00019367615,0.017869582],"study_design_scores_gemma":[0.0000020299146,0.000009378177,0.9990301,0.0000026133664,0.000008139614,0.000024045801,0.00012122145,0.0003347884,0.00019158823,0.000023938608,0.00024895996,0.0000032572977],"about_ca_topic_score_codex":0.12657994,"about_ca_topic_score_gemma":0.19517422,"teacher_disagreement_score":0.12657994,"about_ca_system_score_codex":0.0013091754,"about_ca_system_score_gemma":0.00071672094,"threshold_uncertainty_score":0.25168633},"labels":[],"label_agreement":null},{"id":"W3018864070","doi":"","title":"Investigating the Lack of Pit/Mound Microtopography in Subalpine Forests of the Canadian Rockies","year":2012,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Pleistocene-Era Hominins and Archaeology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Montane ecology; Geology; Subalpine forest; Physical geography; Earth science; Ecology; Geography","score_opus":0.07089834200471659,"score_gpt":0.3221681021116378,"score_spread":0.25126976010692126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3018864070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966265,0.00024553423,0.00011319068,0.00008400178,0.000002942053,0.00001877881,0.000584141,0.000005476982,0.002319514],"genre_scores_gemma":[0.998379,0.00017063259,0.00030846635,0.000038601876,0.000002006155,0.000013414611,0.00030350595,0.0000052020914,0.00077922584],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99932766,0.000052999225,0.000020263107,0.00011064258,0.00016923415,0.00031917053],"domain_scores_gemma":[0.9985862,0.00011990119,0.00027017575,0.000058369173,0.00073466415,0.00023064768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006130972,0.0002853843,0.00032169957,0.0029338931,0.004344593,0.001605417,0.0013659494,0.0003321239,0.0018987508],"category_scores_gemma":[0.001900758,0.0003832711,0.0002304586,0.004002916,0.0015308129,0.0005118257,0.0010752544,0.00039233227,0.00021400364],"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":[0.000120268945,0.000043583368,0.9574076,0.00010369927,0.00006951862,0.00020008431,0.017920062,0.00021128358,0.003727633,0.0005549759,0.0013104604,0.01833081],"study_design_scores_gemma":[0.0000013778417,0.0000054379393,0.99307853,0.000020041105,0.000008463501,0.000046351775,0.0057112216,0.000098709475,0.000116094874,0.000019516845,0.0008887604,0.00000545953],"about_ca_topic_score_codex":0.99452376,"about_ca_topic_score_gemma":0.9990847,"teacher_disagreement_score":0.012149166,"about_ca_system_score_codex":0.012149166,"about_ca_system_score_gemma":0.016450599,"threshold_uncertainty_score":0.08814883},"labels":[],"label_agreement":null},{"id":"W3021575810","doi":"","title":"Estimation of rainfall over the Canadian Rockies by approximating the water balance component","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Component (thermodynamics); Water balance; Balance (ability); Estimation; Geology; Climatology; Environmental science; Economics; Psychology","score_opus":0.013177491207277597,"score_gpt":0.23381482439087561,"score_spread":0.22063733318359802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021575810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97015107,0.00028205512,0.023886517,0.00028561812,0.00002594183,0.000041599556,0.0014141327,0.00053006015,0.0033831864],"genre_scores_gemma":[0.9920374,0.00010313991,0.0064619,0.000018359806,0.000008203405,0.000007945677,0.00056386745,0.000027830796,0.00077145116],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998914,0.000012642719,0.000004322375,0.000027468937,0.000029034098,0.00003508225],"domain_scores_gemma":[0.99976546,0.000060567738,0.000024900559,0.000015660195,0.000107309286,0.000026180513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030303377,0.00046652847,0.00027914706,0.0005438783,0.000611655,0.00077574205,0.00083140854,0.00047567108,0.0010009583],"category_scores_gemma":[0.001518336,0.000337505,0.0003086816,0.000931925,0.0003529275,0.00038340234,0.00020697272,0.00044187758,0.00013212259],"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":[0.00012306155,0.000040342456,0.044486232,0.000034901568,0.0000606054,0.00005882138,0.00006564841,0.91627765,0.0030440195,0.0010445169,0.0013505238,0.03341362],"study_design_scores_gemma":[0.000017514083,0.0000044801327,0.019092957,0.0000043293176,0.000008325138,0.0000054897855,0.000026720641,0.9799207,0.00038389335,0.00014206006,0.00038365036,0.000009967687],"about_ca_topic_score_codex":0.96373916,"about_ca_topic_score_gemma":0.95824885,"teacher_disagreement_score":0.036260843,"about_ca_system_score_codex":0.0046278858,"about_ca_system_score_gemma":0.007912609,"threshold_uncertainty_score":0.072948754},"labels":[],"label_agreement":null},{"id":"W3022062483","doi":"","title":"Ultraslow spreading, ridge relocation and compressional events in the East Arctic region: A link to the Eurekan orogeny?","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological Studies and Exploration","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":"Geology; Ridge; Arctic; Structural basin; Orogeny; Intraplate earthquake; Paleontology; Plate tectonics; Tectonics; Oceanic crust; Canada Basin; North American Plate; Seismology; Oceanography; Subduction","score_opus":0.04970840429041707,"score_gpt":0.23683664654726747,"score_spread":0.1871282422568504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022062483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99836034,0.00060360914,0.00012497808,0.000040043415,0.000003541962,0.000001547894,0.0000636014,0.0000035785633,0.00079865154],"genre_scores_gemma":[0.99941754,0.0002513326,0.000079413614,0.00001233635,0.0000058342184,0.0000012710207,0.00009963748,0.0000014182033,0.00013122868],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998969,0.000016221777,0.000012521668,0.000040017174,0.000008208528,0.000026090182],"domain_scores_gemma":[0.9997873,0.00003100982,0.000105183055,0.000020867288,0.000026777654,0.000028794004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003579471,0.00015651454,0.00016947459,0.0006871154,0.00030686386,0.0005972449,0.00019583428,0.00025438817,0.001427608],"category_scores_gemma":[0.000672916,0.00011645924,0.00013388786,0.0006032113,0.00045789717,0.0005049276,0.00035337493,0.00019907395,0.00019459389],"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":[0.00012405428,0.000024641382,0.9747679,0.000032251224,0.00006720899,0.0005887747,0.00047307753,0.00039276134,0.008546165,0.00045145807,0.00005935077,0.014472403],"study_design_scores_gemma":[0.0000025504025,0.000016087022,0.99857795,0.0000066308294,0.000015095662,0.00017166526,0.00019825614,0.00031375006,0.0003015803,0.00011010344,0.0002831737,0.0000031637883],"about_ca_topic_score_codex":0.013586361,"about_ca_topic_score_gemma":0.015270267,"teacher_disagreement_score":0.013586361,"about_ca_system_score_codex":0.0003381277,"about_ca_system_score_gemma":0.00030440776,"threshold_uncertainty_score":0.027014554},"labels":[],"label_agreement":null},{"id":"W3022866833","doi":"","title":"A Hierarchy of Snowmelt Models for Canadian Prairies: Temperature-Index, Modified Temperature Index and Energy-Balance Models","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Snowmelt; Index (typography); Energy balance; Environmental science; Degree day; Hierarchy; Climatology; Snow; Hydrology (agriculture); Meteorology; Geography; Geology; Computer science; Thermodynamics; Physics; Geotechnical engineering; Economics","score_opus":0.013456628635976324,"score_gpt":0.22369273911806148,"score_spread":0.21023611048208515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022866833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5386149,0.004382664,0.38981205,0.0015921501,0.00016723893,0.0012257951,0.008351543,0.003936558,0.051916998],"genre_scores_gemma":[0.8161348,0.001818926,0.16471207,0.00015861413,0.000050657363,0.00033707626,0.0050496096,0.00048099234,0.011257236],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976045,0.000040159466,0.00001734429,0.000034633395,0.00009409665,0.0000532623],"domain_scores_gemma":[0.9994419,0.0000948825,0.000035589354,0.000042577783,0.00029306865,0.000091899885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001027266,0.0010453211,0.0011095443,0.00094667193,0.0016453782,0.0012594981,0.0028846748,0.0005050542,0.001908106],"category_scores_gemma":[0.0014921394,0.0006555479,0.0011623246,0.0008170316,0.00038144697,0.00083359884,0.00080125016,0.00093030505,0.00029913653],"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":[0.00013794143,0.00015511346,0.009281002,0.00010070004,0.0001352369,0.000057191624,0.0001248451,0.9356285,0.0019055652,0.010069203,0.0036698396,0.038734995],"study_design_scores_gemma":[0.000018222927,0.000015872263,0.0018353665,0.000012421956,0.000040421462,0.000005829131,0.000024616427,0.99428517,0.00025838334,0.0020264655,0.0014601167,0.000017145585],"about_ca_topic_score_codex":0.7766711,"about_ca_topic_score_gemma":0.8075225,"teacher_disagreement_score":0.22332889,"about_ca_system_score_codex":0.0050307214,"about_ca_system_score_gemma":0.008398578,"threshold_uncertainty_score":0.4492882},"labels":[],"label_agreement":null},{"id":"W3023923015","doi":"","title":"Application of AF4-ICP-MS to identify natural versus industrial sources of trace elements to the Athabasca River in Alberta, Canada","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRACE (psycholinguistics); Environmental science; Natural (archaeology); Geology; Environmental chemistry; Chemistry","score_opus":0.03188195272716026,"score_gpt":0.29911035408145314,"score_spread":0.2672284013542929,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023923015","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9620877,0.0023301647,0.0047169747,0.0005621711,0.000060966144,0.00015278465,0.0034169897,0.0001767202,0.026495492],"genre_scores_gemma":[0.9807772,0.00096479687,0.009371193,0.0001367966,0.000009337648,0.000027439799,0.00075678964,0.000029783061,0.0079267],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994235,0.0000361867,0.000023278442,0.00009766925,0.00031412177,0.00010520116],"domain_scores_gemma":[0.9994584,0.000040308158,0.000032642045,0.0000068420973,0.0004297032,0.00003206489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037555333,0.0003236296,0.00029313157,0.002640427,0.0031791227,0.001418693,0.00087440066,0.00038216493,0.0010008934],"category_scores_gemma":[0.0004675076,0.00019707375,0.00024358656,0.0028152312,0.0005675536,0.00017062678,0.0004258992,0.00033331278,0.00017542513],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007586416,0.0001870003,0.71138674,0.0006568987,0.00036317357,0.0013569996,0.005256398,0.00843028,0.09345404,0.0019410299,0.006051116,0.17015767],"study_design_scores_gemma":[0.000034998277,0.00007556831,0.9535647,0.00010594823,0.00011565232,0.00026721734,0.006278057,0.0068812096,0.012419918,0.0003734157,0.019842925,0.000040352825],"about_ca_topic_score_codex":0.9882365,"about_ca_topic_score_gemma":0.99631053,"teacher_disagreement_score":0.9882365,"about_ca_system_score_codex":0.0140565345,"about_ca_system_score_gemma":0.015898587,"threshold_uncertainty_score":0.10198778},"labels":[],"label_agreement":null},{"id":"W3024529317","doi":"","title":"Effect \"negative viscosity\" as possible mechanism of ozone hole are formed above Antarctica at last quarter of XX century","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Ozone; Ozone depletion; Mechanism (biology); Viscosity; Meteorology; Geology; Atmospheric sciences; Environmental science; Oceanography; Thermodynamics; History; Geography; Physics; Philosophy; Epistemology; Archaeology","score_opus":0.008273613284725256,"score_gpt":0.23133080750818305,"score_spread":0.2230571942234578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024529317","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9720641,0.0012826759,0.00089181564,0.002671081,0.00038060924,0.00001736616,0.0004383389,0.00009056761,0.022163356],"genre_scores_gemma":[0.9938606,0.00048914715,0.0003080955,0.00019781943,0.000120184544,0.000005467718,0.00015917265,0.000016681652,0.0048428783],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9999225,0.00000654419,0.000004059011,0.000016756305,0.000021231182,0.000028927765],"domain_scores_gemma":[0.99986887,0.000012916028,0.000046984485,0.00001142225,0.000034251218,0.000025577323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015947293,0.00017758235,0.00015714575,0.0005830456,0.00093002897,0.000897722,0.00023712919,0.00057083205,0.0035162703],"category_scores_gemma":[0.00039999958,0.00011537425,0.00027509834,0.00041305993,0.00052914675,0.0008318008,0.0007994465,0.00052191404,0.00022733882],"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":[0.0011103805,0.00011646129,0.6099725,0.0013701982,0.00035871065,0.009252209,0.010619319,0.0030174204,0.20296246,0.0808715,0.01987229,0.0604766],"study_design_scores_gemma":[0.000073682975,0.0002300283,0.84949046,0.00012652154,0.00031201256,0.0013782383,0.0074896445,0.0019752702,0.03324627,0.00925859,0.09636272,0.000056602392],"about_ca_topic_score_codex":0.004468064,"about_ca_topic_score_gemma":0.0038570764,"teacher_disagreement_score":0.004468064,"about_ca_system_score_codex":0.00050436094,"about_ca_system_score_gemma":0.00039624982,"threshold_uncertainty_score":0.011763036},"labels":[],"label_agreement":null},{"id":"W3027483242","doi":"","title":"Tropical Cold-Point Tropopause: Climatology, Seasonal Cycle and Intraseasonal Variability derived from COSMIC GPS Radio Occultation Measurements","year":2012,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Atmospheric Ozone and Climate","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":"McGill University","funders":"","keywords":"Radio occultation; Climatology; Tropopause; Atmospheric sciences; Environmental science; Troposphere; Boreal; Seasonality; Annual cycle; Equator; Latitude; Ionosphere; Geology; Geodesy; Mathematics; Geophysics","score_opus":0.028587387845032262,"score_gpt":0.24590789585335912,"score_spread":0.21732050800832686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3027483242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952114,0.00011080931,0.00021606068,0.000030488958,0.0000045591532,0.0000045113784,0.003545971,0.000022200786,0.0008541275],"genre_scores_gemma":[0.9964495,0.00006077623,0.00019746959,0.000008191962,0.0000087096505,0.0000031238012,0.0031021992,0.000005408337,0.00016479199],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999962,0.0000048320903,0.0000032114303,0.000011378562,0.000010258951,0.000008401467],"domain_scores_gemma":[0.9998171,0.000021274787,0.00007967716,0.000015276348,0.000039283732,0.000027350055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013403731,0.000113179645,0.000105800296,0.0005026471,0.00012251642,0.0002706298,0.00008625361,0.00009030769,0.00093107554],"category_scores_gemma":[0.00032695653,0.000054745728,0.0001240031,0.00065440877,0.000078132936,0.00014228308,0.00013149616,0.00009318875,0.00021157789],"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":[0.00010452069,0.000014609662,0.98204505,0.000024772293,0.000050959865,0.000048171143,0.00009321359,0.0009271768,0.009480383,0.000050728577,0.000760054,0.0064004674],"study_design_scores_gemma":[0.0000013073214,0.000008596552,0.9991468,0.000001024982,0.0000046712885,0.000021762316,0.000014908503,0.00039109777,0.00021281897,0.000004497084,0.00019136717,0.0000010985153],"about_ca_topic_score_codex":0.01593561,"about_ca_topic_score_gemma":0.029218644,"teacher_disagreement_score":0.01593561,"about_ca_system_score_codex":0.00017403564,"about_ca_system_score_gemma":0.000116075746,"threshold_uncertainty_score":0.03168571},"labels":[],"label_agreement":null},{"id":"W3028180336","doi":"","title":"The CONCEPTS Global Ice-Ocean Prediction System: Establishing an Environmental Prediction Capability in Canada","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sea ice; Climatology; Environmental science; Earth system science; Environmental resource management; Computer science; Oceanography; Geology","score_opus":0.02689528132529138,"score_gpt":0.22127700838815598,"score_spread":0.1943817270628646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3028180336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88183844,0.0008448509,0.014884599,0.008147073,0.0002261611,0.0004981154,0.02391042,0.0022358913,0.06741443],"genre_scores_gemma":[0.94399714,0.00073799613,0.03089342,0.00041322788,0.00002827929,0.00009110117,0.010863795,0.00029407677,0.012680948],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99895287,0.00007343385,0.00004191691,0.00013517479,0.0005854618,0.00021121123],"domain_scores_gemma":[0.9957846,0.00019201203,0.000108222775,0.000115307186,0.0031820838,0.00061775936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022500856,0.00040628234,0.0002763781,0.000901826,0.00272756,0.0020001526,0.001422615,0.0004064334,0.0026752444],"category_scores_gemma":[0.0049534235,0.00033722742,0.0003439757,0.002229378,0.0006458166,0.001594842,0.0015807925,0.00082916673,0.00052992837],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007918678,0.00050207635,0.45018825,0.00019085276,0.00015730712,0.00033652372,0.001683129,0.12937628,0.004263459,0.0160065,0.094250105,0.30225366],"study_design_scores_gemma":[0.0002421409,0.00015349094,0.32492414,0.00020574509,0.0001540075,0.00006538007,0.0031953184,0.54190725,0.007993382,0.0026725205,0.11830357,0.00018299051],"about_ca_topic_score_codex":0.99708253,"about_ca_topic_score_gemma":0.997166,"teacher_disagreement_score":0.96720785,"about_ca_system_score_codex":0.032792144,"about_ca_system_score_gemma":0.11049742,"threshold_uncertainty_score":0.23792475},"labels":[],"label_agreement":null},{"id":"W3030596805","doi":"","title":"Effects of slope aspect on soil development in the Canadian prairies: a digital approach","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Geology; Environmental planning; Hydrology (agriculture); Remote sensing; Environmental resource management; Geography; Geotechnical engineering","score_opus":0.009163001763066388,"score_gpt":0.20171081631235474,"score_spread":0.19254781454928835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3030596805","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9908807,0.00019494566,0.00038325862,0.00006373824,0.000002536383,0.000024404177,0.0020571759,0.000024796122,0.0063685323],"genre_scores_gemma":[0.997666,0.00020188991,0.0007323207,0.0000148745285,9.4696475e-7,0.000009058369,0.00049239973,0.0000076129986,0.0008748848],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997838,0.00002105159,0.0000067408882,0.000041025443,0.000090436086,0.00005681176],"domain_scores_gemma":[0.99944395,0.00012354249,0.000060420898,0.00002856815,0.00028734104,0.00005614793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033255355,0.00019508155,0.00025021515,0.0020088244,0.0009729689,0.0014259916,0.00056131335,0.00019888878,0.0025216315],"category_scores_gemma":[0.0011689439,0.00018337567,0.00033098948,0.0047233407,0.0008240525,0.00044178197,0.0006155648,0.00026421796,0.00012791278],"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":[0.00026605537,0.00011451884,0.9173426,0.00012919107,0.00018249641,0.00018995798,0.001181059,0.01411553,0.004660398,0.00121442,0.0010882076,0.05951558],"study_design_scores_gemma":[0.0000036190816,0.000013334653,0.9933333,0.000010582081,0.000040437917,0.00002038668,0.000863401,0.0045378283,0.00020526121,0.00007477142,0.00088804646,0.000009254887],"about_ca_topic_score_codex":0.98057425,"about_ca_topic_score_gemma":0.9930375,"teacher_disagreement_score":0.01942575,"about_ca_system_score_codex":0.011003713,"about_ca_system_score_gemma":0.006054643,"threshold_uncertainty_score":0.07983792},"labels":[],"label_agreement":null},{"id":"W3030736401","doi":"","title":"Undrained shear behavior of saturated Ottawa Sand under anisotropic triaxial loading conditions to assess seismic strengthening","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geotechnical Engineering and Soil Mechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geotechnical engineering; Geology; Shear (geology); Anisotropy","score_opus":0.02591066145380179,"score_gpt":0.2562013637602086,"score_spread":0.2302907023064068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3030736401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991906,0.000011066217,0.00008755263,0.0000035713072,0.0000010614914,0.0000031646366,0.00014232191,0.0000073605133,0.0005532507],"genre_scores_gemma":[0.9992872,0.000018706198,0.00016306482,0.000002463593,2.6065297e-7,0.000002608585,0.000082366874,0.0000022110037,0.00044124617],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99988437,0.0000064951705,0.000010526808,0.000022225699,0.000046042085,0.000030452951],"domain_scores_gemma":[0.99977,0.000028594264,0.00003205247,0.000023834507,0.00010553582,0.000039941184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012882642,0.0002667514,0.00019905345,0.0005696282,0.0005061974,0.0004033758,0.0003783067,0.00022881909,0.0013857571],"category_scores_gemma":[0.0003148087,0.00025424318,0.00016744634,0.0006047771,0.0005090539,0.0002645164,0.0002810216,0.00025667364,0.0002133126],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021247088,0.00034085163,0.14588413,0.00013172482,0.0000904509,0.0005284248,0.0015905193,0.036107253,0.79923815,0.00044124795,0.00041453895,0.013108052],"study_design_scores_gemma":[0.000051677845,0.00050184206,0.7329629,0.000019596057,0.000116077616,0.00014699159,0.0016825497,0.05532398,0.20768715,0.00012328441,0.0013060065,0.00007797751],"about_ca_topic_score_codex":0.22805938,"about_ca_topic_score_gemma":0.50017875,"teacher_disagreement_score":0.22805938,"about_ca_system_score_codex":0.0015237108,"about_ca_system_score_gemma":0.0015479627,"threshold_uncertainty_score":0.45346385},"labels":[],"label_agreement":null},{"id":"W3033363415","doi":"","title":"Modeling the behavior of an ungauged catchment using alternative datasets: a case study of the Caribou catchment in Canada","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Drainage basin; Catchment area; Environmental science; Geography; Hydrology (agriculture); Water resource management; Environmental resource management; Geology; Cartography","score_opus":0.05483800191125064,"score_gpt":0.30152286563009884,"score_spread":0.24668486371884818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033363415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976661,0.00007410567,0.0006095292,0.00024631785,0.0000050690205,0.000015628355,0.00074736227,0.00005907306,0.00057687087],"genre_scores_gemma":[0.9966564,0.000079431724,0.0018468164,0.000032592492,0.000003409365,0.000011692917,0.00095252454,0.000021664911,0.00039541148],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995565,0.00010493128,0.000024493263,0.00011800373,0.000057609617,0.00013841064],"domain_scores_gemma":[0.99855036,0.00067911606,0.0000998634,0.00010684984,0.00038318554,0.00018055283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014202617,0.000626087,0.00067832624,0.0011766893,0.001776028,0.0029410266,0.0026450746,0.0019802812,0.0009966803],"category_scores_gemma":[0.0038832352,0.0006848753,0.0009793544,0.0025769938,0.0017924726,0.001301393,0.0008393807,0.0011605831,0.000116383424],"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":[0.00017728566,0.00032246453,0.08472018,0.000050539707,0.00016909893,0.00030911132,0.00044571885,0.9058357,0.0008300227,0.0014950556,0.0011056603,0.0045392164],"study_design_scores_gemma":[0.000035691803,0.000017219214,0.024421755,0.0000102634185,0.000033666383,0.000017174916,0.0005393484,0.9738628,0.00019644895,0.00033964426,0.00049737265,0.000028668639],"about_ca_topic_score_codex":0.97012347,"about_ca_topic_score_gemma":0.97074485,"teacher_disagreement_score":0.02987653,"about_ca_system_score_codex":0.019067587,"about_ca_system_score_gemma":0.011095174,"threshold_uncertainty_score":0.13834566},"labels":[],"label_agreement":null},{"id":"W3035889839","doi":"","title":"Multicentury Reconstruction of Precipitations (1300-2014) in Eastern Canada from Tree-Ring Width and Carbon and Oxygen Isotopes","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dendrochronology; Carbon fibers; Oxygen; Isotopes of oxygen; Tree (set theory); Environmental science; Isotope; Ring (chemistry); Geology; Chemistry; Nuclear physics; Mathematics; Paleontology; Physics; Geochemistry; Combinatorics; Algorithm","score_opus":0.018465756476627706,"score_gpt":0.22465580196680648,"score_spread":0.20619004549017877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035889839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96414024,0.0010479299,0.00053291436,0.00048699582,0.000040819003,0.000020958129,0.03098869,0.0001247007,0.0026167736],"genre_scores_gemma":[0.98023856,0.000530999,0.0009018476,0.00009370964,0.000013143579,0.000015326445,0.015360227,0.00002780591,0.0028185616],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997743,0.000009260955,0.00001585491,0.00006631796,0.000054240933,0.00008010436],"domain_scores_gemma":[0.9989219,0.000037435566,0.00011893958,0.000039486025,0.0006883412,0.00019399574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048330697,0.00045260074,0.00035845593,0.0026835368,0.0012184306,0.0011729532,0.00094713207,0.0005723357,0.0016421293],"category_scores_gemma":[0.0008702012,0.00039519506,0.00062268646,0.0051925597,0.0004786877,0.00042241483,0.00093648664,0.0005678824,0.00034081336],"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":[0.00030636988,0.00006851923,0.96078485,0.00012471311,0.00048287402,0.0002488718,0.0007957145,0.007414254,0.0027054148,0.0009761783,0.008918219,0.017174061],"study_design_scores_gemma":[0.000009566274,0.000004662532,0.99239916,0.000029885216,0.000037382073,0.000033056833,0.00034389913,0.0023072758,0.00023435988,0.000039842296,0.0045417836,0.000019116653],"about_ca_topic_score_codex":0.9931092,"about_ca_topic_score_gemma":0.9960769,"teacher_disagreement_score":0.014621879,"about_ca_system_score_codex":0.014621879,"about_ca_system_score_gemma":0.018589674,"threshold_uncertainty_score":0.10608965},"labels":[],"label_agreement":null},{"id":"W3038605622","doi":"","title":"Laboratory Measurements of Frequency-Dependent Seismic Properties of Cracked and Fluid-Saturated Media","year":2012,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","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":"Oscillation (cell signaling); Materials science; Flexural strength; Shear (geology); Pore water pressure; Shear modulus; Saturation (graph theory); Geology; Composite material; Geotechnical engineering; Mechanics; Chemistry","score_opus":0.052401484003200965,"score_gpt":0.2300473695540977,"score_spread":0.17764588555089675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3038605622","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992465,0.000072232484,0.006496725,0.000011171673,0.0000042993647,0.000016718737,0.000192221,0.00007575345,0.0006658348],"genre_scores_gemma":[0.9952532,0.000097208576,0.0039713387,0.000005412023,0.0000043581153,0.000036874368,0.00019565843,0.000009978604,0.00042592816],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998559,0.000015214757,0.000010634515,0.000030788662,0.000064242435,0.000023296867],"domain_scores_gemma":[0.99961334,0.000117165015,0.0001011651,0.0000517861,0.00007890068,0.00003773348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022466386,0.00023553858,0.00011652755,0.00025566423,0.0001681476,0.0002038316,0.00028816928,0.00020859829,0.0010760193],"category_scores_gemma":[0.00060453045,0.00014350432,0.00011551042,0.00018321801,0.00035388483,0.00028134117,0.00031481142,0.00026638107,0.00016399301],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006865437,0.00003334387,0.0017003646,0.000021986092,0.0000037367067,0.000023038194,0.000059427024,0.00030688196,0.99620503,0.0000866351,0.000024230736,0.0014668149],"study_design_scores_gemma":[0.000018153407,0.0007299156,0.010255203,0.0000047122085,0.000016179145,0.000094768984,0.000086247506,0.0035444717,0.9847466,0.000092886454,0.0004003416,0.000010505443],"about_ca_topic_score_codex":0.0004829319,"about_ca_topic_score_gemma":0.0007218276,"teacher_disagreement_score":0.0010760193,"about_ca_system_score_codex":0.00012971876,"about_ca_system_score_gemma":0.00010923628,"threshold_uncertainty_score":0.0035996437},"labels":[],"label_agreement":null},{"id":"W3040723061","doi":"","title":"Export of Labrador Sea Water through Flemish Pass","year":2012,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Flemish; Geology; Business; Geography","score_opus":0.05678157878410164,"score_gpt":0.33133563910022,"score_spread":0.2745540603161184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040723061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99271387,0.000110887886,0.00003392297,0.00009551542,0.000005313474,0.0000057076077,0.0013865574,0.000012452172,0.0056357356],"genre_scores_gemma":[0.9888082,0.00024972018,0.00012522303,0.00004277737,0.000006892924,0.0000072305456,0.00192392,0.000013682929,0.008822417],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99980587,0.0000255721,0.000015861702,0.000041417774,0.000042949916,0.00006845368],"domain_scores_gemma":[0.999764,0.0000406208,0.00009928401,0.000017949478,0.00004779097,0.000030306117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027316558,0.00038498585,0.00022749127,0.0011111842,0.00051677326,0.0015586235,0.00029596305,0.00034398097,0.0022870132],"category_scores_gemma":[0.00064125104,0.00013463346,0.00052430766,0.0010608227,0.0003727622,0.0007237235,0.0005074595,0.00037143377,0.00046866457],"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":[0.0021485458,0.00018096478,0.9109972,0.00035475107,0.00043137211,0.0034534526,0.003255986,0.006909676,0.018119024,0.0028128645,0.0041979225,0.047138233],"study_design_scores_gemma":[0.000022686168,0.00016741896,0.98651916,0.000037190537,0.000054312568,0.00019934922,0.0016423638,0.001018129,0.0030450874,0.00011251024,0.0071682134,0.000013596867],"about_ca_topic_score_codex":0.23012276,"about_ca_topic_score_gemma":0.23497649,"teacher_disagreement_score":0.23012276,"about_ca_system_score_codex":0.003413504,"about_ca_system_score_gemma":0.0017645253,"threshold_uncertainty_score":0.45756656},"labels":[],"label_agreement":null},{"id":"W3040960685","doi":"","title":"Slab dehydration and fluid-producing metamorphic reactions in early subduction stages: the record of the metamorphic sole of the Mont Albert ophiolite (Quebec, Canada)","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metamorphic rock; Geology; Ophiolite; Subduction; Slab; Geochemistry; Seismology; Paleontology; Tectonics","score_opus":0.03408388020821532,"score_gpt":0.21126306816744841,"score_spread":0.1771791879592331,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040960685","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9848644,0.0015221231,0.00023157745,0.00022147213,0.000007461771,0.00003337039,0.0027493031,0.000019653826,0.010350485],"genre_scores_gemma":[0.99645543,0.0005107651,0.00020459529,0.00005971685,0.000004989499,0.0000074229465,0.0007233082,0.000011057078,0.0020227071],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99979264,0.0000083201185,0.000010014447,0.000047327532,0.00006498221,0.0000768228],"domain_scores_gemma":[0.99874985,0.000051287432,0.00020934163,0.000036062644,0.0008305268,0.0001228885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026841322,0.00035034504,0.00037341684,0.0025334335,0.0029277771,0.0016125845,0.00086207857,0.00046794966,0.0040165433],"category_scores_gemma":[0.00087671366,0.0002554203,0.00017226035,0.004310558,0.001794523,0.0006956626,0.00097446615,0.0005729784,0.00036172263],"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":[0.00033915043,0.000048933627,0.9329575,0.0001971512,0.00016937552,0.0004665229,0.00710245,0.0012910541,0.021008559,0.001262202,0.0024650423,0.032692075],"study_design_scores_gemma":[0.0000032939565,0.000007768898,0.9958626,0.000024078736,0.000010467823,0.00005909333,0.0008127818,0.00018375253,0.00033112004,0.000027380183,0.002668703,0.0000089392015],"about_ca_topic_score_codex":0.9871475,"about_ca_topic_score_gemma":0.9955363,"teacher_disagreement_score":0.015263501,"about_ca_system_score_codex":0.015263501,"about_ca_system_score_gemma":0.009827786,"threshold_uncertainty_score":0.11074495},"labels":[],"label_agreement":null},{"id":"W3041112819","doi":"","title":"Structural comparison of archetypal Atlantic rifted margins (Angola - Esperito Santo, Iberia - Newfoundland, mid.Norway - East Greenland)","year":2013,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Oceanography; Geography","score_opus":0.045821793345061416,"score_gpt":0.2515184129520252,"score_spread":0.20569661960696378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041112819","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98778385,0.00032699626,0.00010436478,0.00007819289,0.0000070872,0.0000069093057,0.0024432987,0.000013834878,0.009235456],"genre_scores_gemma":[0.9963676,0.00010481639,0.00021291402,0.00002159309,0.0000022387264,0.000005460827,0.0014789378,0.000008683226,0.0017978393],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999876,0.000008981152,0.000007689522,0.000031579548,0.000015618612,0.000060038823],"domain_scores_gemma":[0.99968755,0.000024931122,0.00006257936,0.0000206874,0.00015776308,0.000046469922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017186692,0.00015107363,0.00016324042,0.0010496835,0.0005479864,0.00069884246,0.00028118325,0.00023680949,0.003581592],"category_scores_gemma":[0.00037609448,0.000129896,0.0001554511,0.0013807209,0.00041479152,0.00023447808,0.0006533023,0.00019299205,0.000573598],"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":[0.00050052657,0.000044381068,0.9443191,0.000099495795,0.0001426185,0.00027375194,0.0022931746,0.0015976117,0.0088650845,0.0009837387,0.0027404018,0.038140032],"study_design_scores_gemma":[0.000003014129,0.0000053961485,0.9974794,0.0000129504915,0.000010920946,0.000022814469,0.0007494351,0.00015759408,0.00010822528,0.000016979839,0.0014315891,0.0000018018845],"about_ca_topic_score_codex":0.5106824,"about_ca_topic_score_gemma":0.7808525,"teacher_disagreement_score":0.5106824,"about_ca_system_score_codex":0.0017220925,"about_ca_system_score_gemma":0.0013344225,"threshold_uncertainty_score":0.9843986},"labels":[],"label_agreement":null},{"id":"W3041123638","doi":"","title":"Speleothem calcite crystal fabrics and isotopic signatures, Northern Yukon Territory, Canada","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Speleothem; Calcite; Geology; Geochemistry; Physical geography; Archaeology; Mineralogy; Geography; Cave","score_opus":0.011223641126948144,"score_gpt":0.21393055814964676,"score_spread":0.2027069170226986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041123638","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9877043,0.0005500626,0.0001209121,0.00016457503,0.000006818174,0.000027201759,0.0070830793,0.000020888001,0.004322103],"genre_scores_gemma":[0.9904502,0.0005045688,0.0003515632,0.000041359668,0.0000018278436,0.000018670695,0.0026444234,0.000015431473,0.0059720357],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99978024,0.0000137398265,0.000017211725,0.000041347335,0.000066778106,0.00008082285],"domain_scores_gemma":[0.99920315,0.000039497372,0.00006952349,0.000022127468,0.000560606,0.00010514927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023613064,0.00026675875,0.0003250718,0.001655512,0.0030638583,0.0009884787,0.0006572661,0.00028173684,0.0028805411],"category_scores_gemma":[0.0006240151,0.00023832302,0.00030145957,0.00421566,0.0005288419,0.0004382475,0.0005511472,0.0002653532,0.0003545776],"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":[0.00030389926,0.00005967895,0.9643713,0.00013101308,0.00015998018,0.00029141572,0.00312069,0.000614289,0.0036364214,0.0007555189,0.004298101,0.022257647],"study_design_scores_gemma":[0.000004932454,0.0000060260577,0.996287,0.000017308263,0.00001347384,0.000040932435,0.0017244575,0.00016152604,0.00019981118,0.000027755208,0.0015094866,0.000007307695],"about_ca_topic_score_codex":0.9960741,"about_ca_topic_score_gemma":0.9989773,"teacher_disagreement_score":0.014273398,"about_ca_system_score_codex":0.014273398,"about_ca_system_score_gemma":0.02140855,"threshold_uncertainty_score":0.10356122},"labels":[],"label_agreement":null},{"id":"W3041956557","doi":"","title":"Role of sediment supply and relative sea-level on sediment delivery to submarine deltas and fans of the Laurentian Channel (Lower St. Lawrence Estuary, Eastern Canada)","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Estuary; Channel (broadcasting); Sediment; Oceanography; Submarine; Hydrology (agriculture); Geology; Environmental science; Fishery; Geomorphology; Engineering; Geotechnical engineering","score_opus":0.018986889233140784,"score_gpt":0.20205357159453513,"score_spread":0.18306668236139434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041956557","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99896836,0.000067189765,0.000023841827,0.000067735666,0.000001322165,0.0000015661349,0.00017629567,0.000002349861,0.0006913028],"genre_scores_gemma":[0.9987143,0.00005762853,0.00004099883,0.000012501518,0.0000014887936,0.0000012225594,0.00012370874,0.000003927502,0.0010442296],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998387,0.000022778517,0.000014151058,0.000035810903,0.000028151328,0.000060396935],"domain_scores_gemma":[0.99882,0.00019124731,0.00019670583,0.000026311316,0.00043544144,0.00033027874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029024913,0.00021855046,0.00024038718,0.0006077376,0.0009391199,0.0011269604,0.00059806765,0.00030750874,0.0023689552],"category_scores_gemma":[0.0014883045,0.00025792918,0.00021638574,0.00082359876,0.000903963,0.00043689087,0.00092200836,0.0002637629,0.00023810293],"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":[0.00015636621,0.000019540044,0.99304503,0.000018575773,0.0000483964,0.00014396505,0.00052322075,0.00076045375,0.0011082258,0.00029287027,0.0002447938,0.0036385872],"study_design_scores_gemma":[0.0000036741023,0.0000120005925,0.9983463,0.000007979387,0.000014703097,0.000023706647,0.0007580768,0.0005187431,0.00008008116,0.00003523133,0.00019569349,0.000003802375],"about_ca_topic_score_codex":0.87878287,"about_ca_topic_score_gemma":0.95662254,"teacher_disagreement_score":0.12121713,"about_ca_system_score_codex":0.005776573,"about_ca_system_score_gemma":0.005938873,"threshold_uncertainty_score":0.24386197},"labels":[],"label_agreement":null},{"id":"W3042082062","doi":"","title":"Polar lows in the Labrador Sea based on the Moravian historical collection of meteorological data in Labrador and Greenland since the mid-18th century","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Climatology; Oceanography; Geology; Polar; Geography; Physical geography","score_opus":0.0993049417482648,"score_gpt":0.3525757058033807,"score_spread":0.2532707640551159,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042082062","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99079925,0.0011109824,0.00009180213,0.00024902012,0.000017125505,0.000007931077,0.0039220983,0.0000159031,0.0037858167],"genre_scores_gemma":[0.9966947,0.00047298084,0.00014399878,0.000028339497,0.0000071830195,0.000006160925,0.001892627,0.000007122867,0.0007469971],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997881,0.000033936874,0.000021921245,0.00004018774,0.00002454136,0.00009126781],"domain_scores_gemma":[0.99945766,0.000037628644,0.00024217097,0.000017939357,0.0001873704,0.000057189558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042261885,0.00019214321,0.00015581676,0.001896169,0.0006557682,0.0010526594,0.0003766113,0.00016236937,0.0011181297],"category_scores_gemma":[0.00073779025,0.00011923556,0.0001744999,0.002794867,0.00039957385,0.0003247676,0.0006654007,0.00028839192,0.00017586224],"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":[0.00009650703,0.000013127151,0.98135316,0.000067967,0.00007977126,0.00014841932,0.0049103694,0.00032642676,0.0005630035,0.000506029,0.0016320545,0.010303154],"study_design_scores_gemma":[0.0000011760426,0.0000049726377,0.9950676,0.000028207774,0.000010136482,0.000025057621,0.0022051462,0.00006732121,0.000069602174,0.000016234038,0.0025011853,0.0000034295056],"about_ca_topic_score_codex":0.7027377,"about_ca_topic_score_gemma":0.87734365,"teacher_disagreement_score":0.2972623,"about_ca_system_score_codex":0.0026688145,"about_ca_system_score_gemma":0.0023034513,"threshold_uncertainty_score":0.5980259},"labels":[],"label_agreement":null},{"id":"W3043211936","doi":"","title":"Impact of a river system on carbon sedimentation and sequestration in Cook's Bay of Lake Simcoe, Ontario","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bay; Sedimentation; Environmental science; Hydrology (agriculture); Carbon sequestration; Oceanography; Geology; Sediment; Geomorphology; Carbon dioxide","score_opus":0.027159549716243226,"score_gpt":0.26740637884024,"score_spread":0.24024682912399675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043211936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973749,0.00006502598,0.00003065102,0.00025441594,0.000004569361,0.000012173347,0.00043752536,0.0000062821587,0.0018144499],"genre_scores_gemma":[0.998387,0.000075448916,0.00006636478,0.000039955987,0.0000016519319,0.0000068329255,0.00015398405,0.0000029092848,0.0012658804],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995572,0.00006997278,0.000037599817,0.00007693843,0.00012035326,0.00013782065],"domain_scores_gemma":[0.99865144,0.00018914253,0.00020463651,0.00003401179,0.00062142074,0.00029938616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038925023,0.00020987449,0.0002818513,0.0008944115,0.0027280918,0.0017861854,0.00076278916,0.00058421097,0.0022950275],"category_scores_gemma":[0.0018440639,0.00032669917,0.00043258758,0.0017751178,0.0017732582,0.0005531979,0.0015146068,0.0004233029,0.00014705745],"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":[0.00021032064,0.00006155908,0.9870862,0.00005930222,0.00010636892,0.00040383617,0.00289224,0.0010855626,0.001646359,0.0006360901,0.0012212133,0.0045909826],"study_design_scores_gemma":[0.000012779582,0.000025124695,0.99382246,0.000014329566,0.000036783946,0.0000321722,0.003944833,0.0007401469,0.00020121898,0.000068977664,0.0010908135,0.000010386783],"about_ca_topic_score_codex":0.9861259,"about_ca_topic_score_gemma":0.9959902,"teacher_disagreement_score":0.02883264,"about_ca_system_score_codex":0.02883264,"about_ca_system_score_gemma":0.023150537,"threshold_uncertainty_score":0.20919645},"labels":[],"label_agreement":null},{"id":"W3044108715","doi":"","title":"Using crustal thickness and subsidence history on the Iberia-Newfoundland margins to constrain lithosphere deformation modes during continental breakup","year":2014,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological and Geophysical Studies Worldwide","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Lithosphere; Breakup; Subsidence; Deformation (meteorology); Seismology; Continental margin; Geomorphology; Tectonics; Oceanography","score_opus":0.034514562257743374,"score_gpt":0.21748971640571219,"score_spread":0.1829751541479688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3044108715","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969716,0.00040823972,0.0001187608,0.000041005,0.0000048613783,0.0000035168505,0.00082258345,0.000008990139,0.0016203708],"genre_scores_gemma":[0.99669313,0.00026626908,0.00038285402,0.000020739737,0.0000036060644,0.0000052150954,0.0016845015,0.000010578617,0.00093304436],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977523,0.00001937849,0.0000142506715,0.000067057736,0.000015438598,0.00010854049],"domain_scores_gemma":[0.99954337,0.000054234763,0.00013146894,0.000052471478,0.00012466378,0.00009379833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000626699,0.00047907475,0.00029772762,0.0018245495,0.0008154775,0.0015748934,0.00037697036,0.0002860528,0.0018578582],"category_scores_gemma":[0.0008777158,0.00025978958,0.0004431097,0.0017640853,0.0003495497,0.0006216241,0.0010665953,0.0003632012,0.00035702047],"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":[0.00030997954,0.000038490827,0.96614724,0.000036147307,0.0002831438,0.00010332518,0.000411698,0.0035138987,0.003170106,0.0001055278,0.0006183898,0.025262086],"study_design_scores_gemma":[0.000004325527,0.000006901995,0.99779415,0.000025754754,0.000038657967,0.0000105820445,0.00027802325,0.0011747634,0.00016975183,0.000012367629,0.00048020502,0.0000046686764],"about_ca_topic_score_codex":0.76197433,"about_ca_topic_score_gemma":0.8979785,"teacher_disagreement_score":0.76197433,"about_ca_system_score_codex":0.0029367637,"about_ca_system_score_gemma":0.0017081714,"threshold_uncertainty_score":0.47885484},"labels":[],"label_agreement":null},{"id":"W3044211969","doi":"","title":"Neodymium isotopes on the Bering/Chukchi shelf into the Canada Basin","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Oceanography; Geology; Neodymium; Structural basin; Isotope; Paleontology","score_opus":0.027821275313326805,"score_gpt":0.21182752462989599,"score_spread":0.18400624931656917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3044211969","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99494123,0.00022647485,0.00004928496,0.00015568951,0.000006835355,0.0000062772197,0.0008559147,0.000011608064,0.003746677],"genre_scores_gemma":[0.9960432,0.00020059732,0.00011906418,0.000041308842,0.0000017204319,0.000005081047,0.00047522632,0.000010192673,0.003103739],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998185,0.0000066391303,0.0000067234014,0.000035901445,0.000049135517,0.00008322385],"domain_scores_gemma":[0.9991406,0.00003808917,0.00007724072,0.00001610083,0.000557195,0.00017081456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019761246,0.00032388608,0.000414979,0.0014417424,0.0029359036,0.0015914479,0.00081163703,0.0005518897,0.0023681724],"category_scores_gemma":[0.0006228149,0.00033431716,0.00033479018,0.0021623177,0.0008620569,0.0005796968,0.0011850987,0.0004931765,0.00023020538],"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":[0.00072869175,0.000045777288,0.9558294,0.00013937426,0.00018500026,0.00058823416,0.005816059,0.002204773,0.010754607,0.001787132,0.0026208598,0.019300189],"study_design_scores_gemma":[0.0000071770914,0.000008529757,0.99431866,0.00004065677,0.000021808268,0.000028602688,0.0026096774,0.0007023822,0.0003228161,0.000045294175,0.0018812349,0.000013160844],"about_ca_topic_score_codex":0.9903825,"about_ca_topic_score_gemma":0.9969445,"teacher_disagreement_score":0.02707964,"about_ca_system_score_codex":0.02707964,"about_ca_system_score_gemma":0.021852398,"threshold_uncertainty_score":0.19647747},"labels":[],"label_agreement":null},{"id":"W3045520217","doi":"","title":"Glaciovolcanism and episodic ice-sheets: evidence for paleo-climate proxies and insights into eruption dynamics from the Kawdy-Tuya area of northern British Columbia","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Climatology; Ice sheet; Physical geography; Cryosphere; Climate change; Earth science; Oceanography; Sea ice; Geography","score_opus":0.02932065739354524,"score_gpt":0.2544251395627765,"score_spread":0.22510448216923126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045520217","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99680114,0.0002580563,0.000031462827,0.00010454836,0.00000260428,0.000004180941,0.0006728304,0.000003507498,0.002121646],"genre_scores_gemma":[0.99836725,0.00024035224,0.000053971446,0.000029307212,0.0000019025069,0.0000036543029,0.0005632058,0.0000045102247,0.00073584093],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997422,0.000028899745,0.000024161016,0.00005929413,0.00005453993,0.00009077692],"domain_scores_gemma":[0.99853873,0.000276767,0.00024060292,0.00008173356,0.0006203065,0.00024195084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003455914,0.00019430279,0.0002924008,0.0015975503,0.0016491737,0.002029141,0.0005793988,0.0002671999,0.0025550032],"category_scores_gemma":[0.0019387411,0.00025285195,0.000135368,0.0051419986,0.00069932954,0.00043656593,0.00073179585,0.00046521376,0.00017556938],"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":[0.000059861843,0.000023028735,0.98522854,0.00003186201,0.00008080651,0.00017515822,0.0024485118,0.00032665525,0.0013936392,0.00014274499,0.0007017556,0.009387372],"study_design_scores_gemma":[0.0000019088889,0.0000011164498,0.9979097,0.000010236138,0.000012867899,0.000018652874,0.0012165383,0.00013581268,0.000055373792,0.0000142080025,0.00061950064,0.0000040624122],"about_ca_topic_score_codex":0.97864085,"about_ca_topic_score_gemma":0.9947296,"teacher_disagreement_score":0.021359146,"about_ca_system_score_codex":0.0069810958,"about_ca_system_score_gemma":0.0062020943,"threshold_uncertainty_score":0.05065161},"labels":[],"label_agreement":null},{"id":"W3045531494","doi":"","title":"Early and abrupt retreat of the Laurentide Ice Sheet margin from the Mackenzie River valley, southern Northwest Territories","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Ice sheet; Margin (machine learning); Oceanography; Physical geography; Wisconsin glaciation; Climatology; Cryosphere; Ice stream; Geography; Sea ice","score_opus":0.02475301892937676,"score_gpt":0.2420814121242168,"score_spread":0.21732839319484004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045531494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98357576,0.00035307242,0.000080060876,0.00048027505,0.000021310909,0.000014123743,0.00041047286,0.000007657505,0.015057155],"genre_scores_gemma":[0.995542,0.00030125523,0.00014350766,0.00010354801,0.000013104152,0.0000106710695,0.00033549013,0.000007576178,0.003542943],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998691,0.000012049932,0.000009399346,0.000028841021,0.000028188022,0.000052489577],"domain_scores_gemma":[0.9995735,0.0000484187,0.00011962984,0.000019912499,0.00013191951,0.00010661347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036475572,0.00013917216,0.00021933307,0.00088503637,0.0020536166,0.0016487531,0.0003737949,0.00033962703,0.0028303245],"category_scores_gemma":[0.0014191584,0.00018043545,0.00012927459,0.0007275316,0.00093584985,0.0006624114,0.001475166,0.00047256897,0.00028439617],"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":[0.00045496345,0.00006465875,0.94052285,0.00017453985,0.000096788994,0.0023370006,0.010761901,0.0015737195,0.006535576,0.0027155634,0.004148566,0.030613896],"study_design_scores_gemma":[0.000004061827,0.000009519554,0.99044144,0.000050340765,0.000005774491,0.000108731605,0.0024049194,0.00015664744,0.00018397757,0.000046731086,0.006583117,0.0000046615332],"about_ca_topic_score_codex":0.37589478,"about_ca_topic_score_gemma":0.77506113,"teacher_disagreement_score":0.6241052,"about_ca_system_score_codex":0.002623676,"about_ca_system_score_gemma":0.0031338942,"threshold_uncertainty_score":0.74741364},"labels":[],"label_agreement":null},{"id":"W3045701010","doi":"","title":"Assessing the projection of soil moisture in the Canadian Prairie region relative to tree-ring reconstructions","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dendrochronology; Projection (relational algebra); Environmental science; Forestry; Tree (set theory); Geography; Physical geography; Hydrology (agriculture); Geology; Mathematics; Archaeology","score_opus":0.04408130859508601,"score_gpt":0.27671014239460084,"score_spread":0.23262883379951482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045701010","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98816395,0.00031141893,0.001456569,0.00041934522,0.000018569313,0.00002984837,0.004218876,0.00013113309,0.005250261],"genre_scores_gemma":[0.99580246,0.00014944101,0.0017208168,0.000026557345,0.0000034369186,0.0000074913723,0.0016419922,0.00001981,0.0006280003],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99962795,0.00005533878,0.000012690239,0.0000942292,0.000120164405,0.00008968992],"domain_scores_gemma":[0.9985856,0.00023497942,0.00008724398,0.000078565165,0.00089111656,0.0001225099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012798443,0.00030116196,0.00020911165,0.0006740617,0.0009525283,0.0012696644,0.0008533762,0.00040923787,0.0015015848],"category_scores_gemma":[0.0037153384,0.0002672539,0.00037690907,0.0015356877,0.0003648051,0.000514556,0.00060185,0.00048746853,0.0002267418],"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":[0.0006208811,0.00008373798,0.73460764,0.00017139841,0.00051255315,0.0002165842,0.0011058637,0.18352246,0.010960061,0.003473447,0.0064337724,0.058291636],"study_design_scores_gemma":[0.000042881307,0.000021495758,0.896726,0.00003519172,0.00006762131,0.000036468147,0.0007915944,0.09596935,0.001258061,0.00025301118,0.0047415583,0.0000566883],"about_ca_topic_score_codex":0.9854348,"about_ca_topic_score_gemma":0.9906811,"teacher_disagreement_score":0.014565229,"about_ca_system_score_codex":0.008457479,"about_ca_system_score_gemma":0.012944278,"threshold_uncertainty_score":0.061363637},"labels":[],"label_agreement":null},{"id":"W3045748360","doi":"","title":"Modelling black spruce primary production and carbon allocation in the Quebec boreal forest","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Forest ecology and management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Black spruce; Taiga; Primary production; Boreal; Forestry; Environmental science; Production (economics); Primary (astronomy); Geography; Agroforestry; Ecology; Ecosystem; Economics; Biology","score_opus":0.023314702144578498,"score_gpt":0.23611700627009488,"score_spread":0.21280230412551637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045748360","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923544,0.0002977172,0.001375185,0.00031055007,0.000018443498,0.000029122788,0.0016784256,0.00009481037,0.003841313],"genre_scores_gemma":[0.99526703,0.000114754825,0.0010269628,0.00006607851,0.000005777798,0.00003077051,0.00061431475,0.000032041124,0.0028421641],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997675,0.000058736863,0.0000069795765,0.00006048174,0.00002233995,0.00008398708],"domain_scores_gemma":[0.99912184,0.00045636608,0.000060443203,0.000033269785,0.00019105877,0.00013712203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056416664,0.0008998013,0.0006296548,0.00048848486,0.0013378259,0.001787398,0.0019381571,0.0016825492,0.0036559363],"category_scores_gemma":[0.0013536543,0.00061504584,0.0007728168,0.00090636406,0.0008922431,0.0007593329,0.00040896705,0.000835148,0.00030132022],"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":[0.00020828629,0.00008920881,0.022421986,0.00003302549,0.0000991861,0.00010896308,0.00007588662,0.9713401,0.0009207849,0.0006192838,0.0013938944,0.0026892563],"study_design_scores_gemma":[0.000065277796,0.000025758241,0.020596946,0.000010900611,0.000027640885,0.000008850394,0.000100548554,0.97835606,0.00013863915,0.00013004034,0.00051216444,0.000027074613],"about_ca_topic_score_codex":0.98612404,"about_ca_topic_score_gemma":0.98349434,"teacher_disagreement_score":0.020856367,"about_ca_system_score_codex":0.020856367,"about_ca_system_score_gemma":0.006930806,"threshold_uncertainty_score":0.15132421},"labels":[],"label_agreement":null},{"id":"W3045818012","doi":"","title":"Shelf Exchange Processes of CO2, Ra, and Ba in the Canadian Arctic Archipelago","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Archipelago; Oceanography; Arctic; The arctic; Geography; Geology","score_opus":0.030014375899786404,"score_gpt":0.25348259506071236,"score_spread":0.22346821916092596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045818012","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99740016,0.00039777352,0.00006236892,0.000098831115,0.00000636892,0.000004735788,0.00058598677,0.000009162748,0.0014345681],"genre_scores_gemma":[0.99832565,0.0002962737,0.00010418452,0.000035850917,0.0000026137434,0.0000048715383,0.00043747993,0.00000675284,0.00078637915],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998797,0.0000061920227,0.0000079317815,0.000031245938,0.0000310318,0.000043811582],"domain_scores_gemma":[0.9996402,0.000026951531,0.000026839289,0.000009690113,0.00024179331,0.000054468204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026504096,0.00038540375,0.0004124217,0.0016818894,0.003179969,0.0015098117,0.00057580334,0.00053158414,0.001272169],"category_scores_gemma":[0.00048254099,0.00040891112,0.00042404662,0.0018139449,0.0006919463,0.00072951516,0.0008458928,0.0004835118,0.00015528458],"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":[0.0012967492,0.00009530816,0.92531043,0.0001427534,0.00036795193,0.00042596515,0.004287557,0.008286304,0.03267418,0.0011686509,0.0016803162,0.024263866],"study_design_scores_gemma":[0.000008742274,0.000009068169,0.99480706,0.00001577,0.00004193567,0.000019975492,0.0011395459,0.0020238482,0.0007095959,0.000071517265,0.001133823,0.000019109017],"about_ca_topic_score_codex":0.9888509,"about_ca_topic_score_gemma":0.9917463,"teacher_disagreement_score":0.014697162,"about_ca_system_score_codex":0.014697162,"about_ca_system_score_gemma":0.010148603,"threshold_uncertainty_score":0.10663587},"labels":[],"label_agreement":null},{"id":"W3045829810","doi":"","title":"Anthropogenic deposition of heavy metals and phosphorus may reduce biological N2 fixation in boreal forest mosses","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Lichen and fungal ecology","field":"Agricultural and Biological 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":"Ministère des Ressources naturelles et des Forêts; Université de Sherbrooke","funders":"","keywords":"Moss; Taiga; Picea abies; Environmental chemistry; Environmental science; Deposition (geology); Boreal; Chemistry; Ecology; Biology","score_opus":0.04276293023063236,"score_gpt":0.2781492824430302,"score_spread":0.23538635221239787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045829810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99956316,0.00012693525,0.00008380911,0.0000068630225,0.00000160171,0.00000325619,0.000021706453,0.000004677921,0.00018800648],"genre_scores_gemma":[0.999188,0.00010786058,0.00038022615,0.000016434851,0.0000023361026,0.0000065864438,0.00006750998,0.000002143123,0.00022881912],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998503,0.00002497726,0.000013635781,0.000049834587,0.000033956727,0.000027373117],"domain_scores_gemma":[0.9997451,0.000022152479,0.000105224564,0.000014716439,0.00005468488,0.000058076617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023228496,0.00032918187,0.0002079378,0.00023819465,0.0004549651,0.00034587865,0.00029327103,0.00028135968,0.00027345718],"category_scores_gemma":[0.0002563232,0.00017494171,0.00017794999,0.00011747756,0.00022046338,0.00024108631,0.00024248079,0.00015351175,0.00008986399],"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":[0.00041952048,0.000120143915,0.19153701,0.000106906526,0.0000833249,0.00021517284,0.00018426222,0.00020848407,0.8000641,0.000037219914,0.000048161368,0.006975647],"study_design_scores_gemma":[0.000006810477,0.00038178766,0.98730266,0.0000034698367,0.000013663321,0.00009947158,0.00014606699,0.0002024743,0.011413939,0.00002996241,0.00039594976,0.0000038107355],"about_ca_topic_score_codex":0.012153551,"about_ca_topic_score_gemma":0.029895341,"teacher_disagreement_score":0.012153551,"about_ca_system_score_codex":0.00032760302,"about_ca_system_score_gemma":0.0003085554,"threshold_uncertainty_score":0.02416563},"labels":[],"label_agreement":null},{"id":"W3045932978","doi":"","title":"Numerical Simulation and Satellite Mapping of the Inshore Labrador Current","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Marine and environmental studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Current (fluid); Satellite; Remote sensing; Geology; Geography; Satellite altimetry; Geodesy; Meteorology; Oceanography; Altimeter; Engineering","score_opus":0.04028721425520959,"score_gpt":0.25210935090488124,"score_spread":0.21182213664967164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045932978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9741663,0.00015753528,0.0038737257,0.00040816446,0.00006027222,0.00003525263,0.0011429876,0.00038788232,0.019767897],"genre_scores_gemma":[0.9955059,0.000069429334,0.0022658773,0.00002674509,0.000013115179,0.000015017194,0.00038050686,0.00003734371,0.0016858317],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990904,0.000019261684,0.000005772727,0.000018849682,0.000021605376,0.000025562329],"domain_scores_gemma":[0.9996457,0.0001447529,0.00003609761,0.00003962381,0.00008122534,0.000052494368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023184794,0.0003431614,0.0005114692,0.000710187,0.0006021428,0.00094139227,0.00082950864,0.0011393136,0.003946254],"category_scores_gemma":[0.0012446388,0.00036803467,0.00068283855,0.0010810235,0.0005562349,0.0005118411,0.00038288676,0.000596621,0.00034760023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008219279,0.00007040432,0.007014901,0.000023571882,0.00003556944,0.000064411804,0.00008330548,0.98652714,0.00083494495,0.0006848347,0.00066591904,0.0039126873],"study_design_scores_gemma":[0.000046951067,0.000024186946,0.0062092845,0.0000060852008,0.000015199507,0.000010857999,0.00009056781,0.9925136,0.00029028612,0.00022782906,0.0005536511,0.000011471046],"about_ca_topic_score_codex":0.19849087,"about_ca_topic_score_gemma":0.14071123,"teacher_disagreement_score":0.80150914,"about_ca_system_score_codex":0.0015515265,"about_ca_system_score_gemma":0.0014708961,"threshold_uncertainty_score":0.39467102},"labels":[],"label_agreement":null},{"id":"W3046004050","doi":"","title":"Asymmetric rifting, breakup and magmatism across conjugate margin pairs: insights from Newfoundland to Ireland","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Breakup; Magmatism; Rift; Margin (machine learning); Geology; Paleontology; Physics; Computer science; Tectonics","score_opus":0.02633187315466133,"score_gpt":0.26040429591354913,"score_spread":0.2340724227588878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046004050","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902767,0.00018141059,0.00012729234,0.0002094431,0.0000035658436,0.00001164196,0.0008225868,0.000007045317,0.008360469],"genre_scores_gemma":[0.9970867,0.00009894271,0.00011865779,0.00006574025,0.000002748807,0.000009271395,0.0008061549,0.000010488649,0.0018012279],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995913,0.000032879,0.000017960281,0.00008597846,0.00004365058,0.00022827186],"domain_scores_gemma":[0.9988217,0.00016554166,0.0003273055,0.00008750646,0.00041356945,0.00018443674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037972108,0.00017523838,0.00035665755,0.0016372434,0.0013632383,0.0017581282,0.0007868212,0.00035127497,0.0041621113],"category_scores_gemma":[0.0016587054,0.00020411088,0.00026760602,0.0028895165,0.0014219513,0.0010190625,0.0020502976,0.00061671145,0.0004238191],"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":[0.0004048835,0.00006630641,0.9543391,0.00008768989,0.00009647765,0.00065782224,0.012479969,0.0011713799,0.0023695168,0.0011996371,0.0027772593,0.024349874],"study_design_scores_gemma":[0.000005378139,0.000010073717,0.990967,0.00002580052,0.000012435074,0.000034903944,0.0065685255,0.00016573933,0.000099931734,0.000046074478,0.0020563928,0.000007696551],"about_ca_topic_score_codex":0.91286236,"about_ca_topic_score_gemma":0.97374153,"teacher_disagreement_score":0.91286236,"about_ca_system_score_codex":0.0072962926,"about_ca_system_score_gemma":0.00479115,"threshold_uncertainty_score":0.17530155},"labels":[],"label_agreement":null},{"id":"W3046184195","doi":"","title":"Sphagnum farming initiatives in Canada: an overview","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Cooperative Studies and Economics","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sphagnum; Agriculture; Geography; Business; Agroforestry; Environmental resource management; Political science; Environmental science; Archaeology; Peat","score_opus":0.07606048326427414,"score_gpt":0.27738541581317633,"score_spread":0.20132493254890219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046184195","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33403578,0.3826479,0.0012407311,0.051576912,0.0009258939,0.0007497763,0.008826594,0.00036206987,0.21963431],"genre_scores_gemma":[0.6371812,0.2902367,0.004021396,0.0049791005,0.00013431371,0.00016324517,0.0035764102,0.00010305745,0.059604537],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99645483,0.00015203223,0.000101922524,0.00023029526,0.0015414071,0.0015195198],"domain_scores_gemma":[0.99464107,0.0003387177,0.0004057076,0.000045584602,0.0025048829,0.0020639147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014031717,0.00066341116,0.0004894744,0.008165358,0.008683293,0.006238423,0.0018587667,0.001265883,0.005699167],"category_scores_gemma":[0.0020656695,0.0004442459,0.00046388683,0.025037764,0.0023853406,0.0014111875,0.0029350396,0.0015108206,0.0003367826],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039489008,0.0005413973,0.1353067,0.00762846,0.00016331619,0.0019747557,0.01942968,0.0014140061,0.0026565106,0.04531664,0.100758664,0.684415],"study_design_scores_gemma":[0.00003125154,0.00011317064,0.42128688,0.0030152327,0.00011047411,0.00045400878,0.032734476,0.00043977398,0.00086256146,0.0011444495,0.53970444,0.000103207574],"about_ca_topic_score_codex":0.99387324,"about_ca_topic_score_gemma":0.99844605,"teacher_disagreement_score":0.1450628,"about_ca_system_score_codex":0.1450628,"about_ca_system_score_gemma":0.32931417,"threshold_uncertainty_score":0.99160594},"labels":[],"label_agreement":null},{"id":"W3046225151","doi":"","title":"Statistical analysis of extreme values for geomagnetic and geoelectric field variations for Canada","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Earthquake Detection and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earth's magnetic field; Field (mathematics); Geology; Geophysics; Statistical analysis; Climatology; Meteorology; Geodesy; Geography; Statistics; Mathematics; Magnetic field; Physics","score_opus":0.02277705272295678,"score_gpt":0.2333593092511916,"score_spread":0.21058225652823484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046225151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9718829,0.00039523336,0.0039827907,0.00043827726,0.000030880903,0.00008478812,0.01916131,0.00011258715,0.003911075],"genre_scores_gemma":[0.9896136,0.000113302616,0.0013731143,0.000037016976,0.0000066566436,0.000034373425,0.006998717,0.000042009302,0.0017812795],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99636567,0.00072461803,0.00019669141,0.0006274692,0.0012455038,0.00083999854],"domain_scores_gemma":[0.98547155,0.0052837147,0.0010061398,0.00086788705,0.006200389,0.001170299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037821305,0.00032318436,0.00061466784,0.0020272532,0.0017698085,0.0013317226,0.0016746082,0.00039047486,0.0034634597],"category_scores_gemma":[0.016075639,0.00023556665,0.0010978997,0.0046091303,0.0011497856,0.00041116064,0.0010619112,0.0011605959,0.00015628846],"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":[0.0005694677,0.000042232623,0.9632425,0.00005685482,0.0005973998,0.00013565535,0.0007689593,0.004901634,0.00043217427,0.0028678132,0.0073030232,0.019082276],"study_design_scores_gemma":[0.000023882543,0.000048719456,0.98734343,0.00001843616,0.000093854775,0.000047838414,0.0012971632,0.0073243123,0.00019303775,0.000465193,0.0031153478,0.000028821283],"about_ca_topic_score_codex":0.9886429,"about_ca_topic_score_gemma":0.98705274,"teacher_disagreement_score":0.016610818,"about_ca_system_score_codex":0.016610818,"about_ca_system_score_gemma":0.042450354,"threshold_uncertainty_score":0.12052047},"labels":[],"label_agreement":null},{"id":"W3046317603","doi":"","title":"Cold seep-related occurrence of the Early Jurassic rhynchonellid brachiopod Anarhynchia from the Canadian Cordillera","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Paleontology and Stratigraphy of Fossils","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Petroleum seep; Paleontology; Cold seep; Physical geography; Geography; Biology","score_opus":0.024823440330507474,"score_gpt":0.2311097972695358,"score_spread":0.2062863569390283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046317603","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99713504,0.0002601245,0.00003850814,0.000034214427,0.0000054626157,0.000007128393,0.00049449014,0.00000735609,0.0020176566],"genre_scores_gemma":[0.99908435,0.00011363584,0.000044443605,0.000017935088,0.0000032227308,0.000004193624,0.00026785728,0.000003608014,0.0004607568],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99973863,0.0000104194605,0.0000096641,0.0000870066,0.000067388646,0.00008696504],"domain_scores_gemma":[0.99929523,0.000035491037,0.00014895445,0.000024122637,0.0003679293,0.00012826394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020789518,0.00033402946,0.00034236003,0.0022975414,0.0024903645,0.00073565205,0.0006734539,0.0004529324,0.0036354768],"category_scores_gemma":[0.00067648373,0.00023472233,0.00018607118,0.0024067974,0.0010048016,0.00029411525,0.00097024045,0.00038091408,0.0002870111],"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":[0.00022244197,0.000019246994,0.96782804,0.00009025416,0.000100903126,0.00033907985,0.002802127,0.00027599893,0.015085436,0.00016856422,0.000564081,0.012503882],"study_design_scores_gemma":[8.128872e-7,0.000003537054,0.9994349,0.000003024546,0.0000041163644,0.000023954131,0.00022372945,0.000021729742,0.0000650476,0.0000043214977,0.00021321455,0.0000015997612],"about_ca_topic_score_codex":0.9083945,"about_ca_topic_score_gemma":0.9753959,"teacher_disagreement_score":0.091605484,"about_ca_system_score_codex":0.0069140657,"about_ca_system_score_gemma":0.004069465,"threshold_uncertainty_score":0.18428987},"labels":[],"label_agreement":null},{"id":"W3046345834","doi":"","title":"Peculiar debris-flow event of June 2013 in Livingstone mountain range (Alberta, Canada)","year":2014,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Debris flow; Event (particle physics); Debris; Geology; Range (aeronautics); Oceanography; Engineering","score_opus":0.006314715238211625,"score_gpt":0.20552712675028012,"score_spread":0.1992124115120685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046345834","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97158086,0.00049874064,0.00031339444,0.0019865406,0.00023076481,0.00009597816,0.0068588713,0.00014350134,0.018291334],"genre_scores_gemma":[0.976762,0.0004720274,0.00057708035,0.00065346976,0.000116772935,0.00002782773,0.004369885,0.000026317433,0.016994609],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99982965,0.0000051241987,0.000004710505,0.00001847961,0.00007428373,0.00006773047],"domain_scores_gemma":[0.9996019,0.000010207387,0.00003733807,0.000008640299,0.00015468821,0.00018735956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019623352,0.00032513004,0.0002832564,0.0010834457,0.0042132707,0.0011355468,0.0006495354,0.0012227095,0.002439088],"category_scores_gemma":[0.00038338458,0.00019244866,0.00015896859,0.001208128,0.0006616848,0.0002779732,0.0010090767,0.0008720152,0.00035685342],"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":[0.0008739527,0.00038363517,0.8223796,0.0002605349,0.0001956448,0.018960157,0.012473301,0.0030021362,0.0072486717,0.0013127876,0.09747793,0.03543158],"study_design_scores_gemma":[0.000008008291,0.000032432155,0.96941346,0.00005097742,0.00001317872,0.00039443557,0.0077028433,0.00046579342,0.0002522688,0.00008697284,0.021561082,0.000018608687],"about_ca_topic_score_codex":0.9305388,"about_ca_topic_score_gemma":0.98884404,"teacher_disagreement_score":0.06946123,"about_ca_system_score_codex":0.008313042,"about_ca_system_score_gemma":0.009616834,"threshold_uncertainty_score":0.13974053},"labels":[],"label_agreement":null},{"id":"W3046478213","doi":"","title":"Extensional fault geometry and its flexural isostatic response during the formation of the Iberia - Newfoundland conjugate rifted margins","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological and Geophysical Studies Worldwide","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Extensional definition; Conjugate; Extensional fault; Geometry; Fault (geology); Seismology; Tectonics","score_opus":0.0231135058303842,"score_gpt":0.23547825220112473,"score_spread":0.21236474637074054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046478213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99772054,0.000105375744,0.000029390187,0.000057700465,0.000003256672,0.0000020958348,0.0003466055,0.000003597808,0.0017315003],"genre_scores_gemma":[0.9989998,0.00005674713,0.0000311191,0.000013740194,0.0000017607553,0.0000017373118,0.0002498651,0.0000024491146,0.00064286],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99989414,0.000010036078,0.0000070723554,0.00002608185,0.000010233066,0.00005245101],"domain_scores_gemma":[0.9997837,0.000022409598,0.00006231023,0.000015555559,0.000067179346,0.00004881299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024551107,0.00019163932,0.00020357365,0.00072375697,0.00055748963,0.00092031097,0.00032655,0.00036826686,0.0026422008],"category_scores_gemma":[0.0007387062,0.00015185034,0.00016439977,0.00083958515,0.0005033831,0.00033162683,0.0007680349,0.00032283485,0.00031320113],"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":[0.0008996309,0.000091497655,0.9567572,0.000049774837,0.00012212555,0.0003914706,0.0015587858,0.007489196,0.008281922,0.00057006726,0.0014308575,0.02235751],"study_design_scores_gemma":[0.0000027968756,0.000010042884,0.9987627,0.00000798794,0.000008227165,0.000012815383,0.00031590878,0.0004086819,0.000096157375,0.0000108907025,0.0003610432,0.0000027961369],"about_ca_topic_score_codex":0.6244738,"about_ca_topic_score_gemma":0.78187376,"teacher_disagreement_score":0.3755262,"about_ca_system_score_codex":0.0034711706,"about_ca_system_score_gemma":0.0012765136,"threshold_uncertainty_score":0.75547546},"labels":[],"label_agreement":null},{"id":"W3046550518","doi":"","title":"Chemical properties of litter inputs and organic matter along the Canadian Boreal Forest Transect Case Study","year":2012,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transect; Taiga; Environmental science; Litter; Boreal; Organic matter; Forestry; Ecology; Geography; Agroforestry; Biology","score_opus":0.022454676920677465,"score_gpt":0.2166432315082238,"score_spread":0.19418855458754633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046550518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99724364,0.000056981735,0.00007373542,0.000034562454,0.0000011762406,0.000016421165,0.0007421018,0.0000043786495,0.0018269098],"genre_scores_gemma":[0.99806756,0.00008277702,0.00029321268,0.000017909557,8.920827e-7,0.000007738434,0.00046893602,0.000002992211,0.0010580448],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99972564,0.000020043304,0.000010559643,0.000046872097,0.000097882694,0.0000989892],"domain_scores_gemma":[0.9995943,0.000024825049,0.00005514348,0.000014148462,0.00024733585,0.00006419673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025616368,0.00035034856,0.00025685015,0.0008425018,0.002481847,0.0006517671,0.0006697879,0.0003766666,0.00077977765],"category_scores_gemma":[0.0005072455,0.00020931993,0.00031624569,0.0015012888,0.00057738,0.00030557404,0.00033594773,0.00029994387,0.000084144194],"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":[0.00019379026,0.00014319454,0.97273874,0.000057232035,0.00012587753,0.0012740573,0.0018643516,0.0045266496,0.007929534,0.00038209907,0.0015454153,0.009218967],"study_design_scores_gemma":[0.0000059061335,0.000022987391,0.9944301,0.0000077337,0.000033583958,0.0001763344,0.00164252,0.0016136365,0.0007328873,0.000026467938,0.0012924729,0.000015272577],"about_ca_topic_score_codex":0.9923161,"about_ca_topic_score_gemma":0.99801457,"teacher_disagreement_score":0.008914888,"about_ca_system_score_codex":0.008914888,"about_ca_system_score_gemma":0.0077722683,"threshold_uncertainty_score":0.064682364},"labels":[],"label_agreement":null},{"id":"W3047186616","doi":"","title":"Advancing methods for water quality studies of Arctic rivers with remote sensing and ground-based measurements. Case study of the George river basin (Nunavik, Canada)","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"George (robot); Arctic; Water quality; Environmental science; Hydrology (agriculture); Drainage basin; Structural basin; Groundwater; The arctic; Remote sensing; Geography; Water resource management; Oceanography; Geology; Cartography; Ecology; Geomorphology; Computer science","score_opus":0.06846178347475469,"score_gpt":0.3361590463280495,"score_spread":0.2676972628532948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047186616","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":[0.42482919,0.013831321,0.5276132,0.0038341226,0.00041108113,0.0020105254,0.0072499295,0.0004787304,0.019741887],"genre_scores_gemma":[0.4313132,0.0060612685,0.55606693,0.00038055138,0.000096138305,0.00079651416,0.0013450145,0.000076773445,0.003863675],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99574476,0.0024473774,0.00016603031,0.00029686163,0.0011566079,0.00018826479],"domain_scores_gemma":[0.9924718,0.0039689247,0.0005118823,0.00037772895,0.002476482,0.00019311992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012442338,0.0008978662,0.0005255851,0.0016868326,0.0010277223,0.002170082,0.0012454861,0.00074948935,0.0010487309],"category_scores_gemma":[0.011875084,0.000561162,0.00068827707,0.0028181833,0.00094681856,0.0008936516,0.001705725,0.0010065669,0.00026945345],"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":[0.0002781357,0.0005193185,0.4528793,0.0018736777,0.0007676849,0.00053524546,0.003433101,0.039603647,0.026817307,0.00584677,0.0063296966,0.46111602],"study_design_scores_gemma":[0.00017092994,0.0003587618,0.7603722,0.00076604023,0.00059450883,0.00041941548,0.008738052,0.17187147,0.0143360235,0.0058321827,0.036382,0.00015845067],"about_ca_topic_score_codex":0.7238906,"about_ca_topic_score_gemma":0.88966805,"teacher_disagreement_score":0.2761094,"about_ca_system_score_codex":0.0032968505,"about_ca_system_score_gemma":0.012631222,"threshold_uncertainty_score":0.5554709},"labels":[],"label_agreement":null},{"id":"W3047264532","doi":"","title":"Changes in Arctic freshwater export: a new proxy from 30 years of hydrographic surveys in the Labrador Sea","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hydrography; Oceanography; Arctic; Proxy (statistics); Circumpolar star; The arctic; Hydrographic survey; Geography; Climatology; Fishery; Environmental science; Geology","score_opus":0.07101968788438713,"score_gpt":0.3138096802677725,"score_spread":0.2427899923833854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047264532","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948085,0.0002867315,0.00012401908,0.00003720682,0.000013509839,0.0000029701866,0.004161557,0.000014622965,0.00055085984],"genre_scores_gemma":[0.99103737,0.0003252766,0.00028383904,0.00002188168,0.000022352171,0.000011576849,0.007926721,0.000013498024,0.00035750633],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99951065,0.00009056819,0.00007229821,0.00015666788,0.00007239128,0.00009740271],"domain_scores_gemma":[0.99888164,0.00014702349,0.00050601613,0.00009059513,0.00025741584,0.000117268995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001328622,0.00048233126,0.0004524407,0.0026489042,0.00046952782,0.0014278956,0.00037462238,0.00046088503,0.0006692315],"category_scores_gemma":[0.0014137189,0.00023361847,0.000679838,0.0030178318,0.0003722363,0.00092056976,0.00086368644,0.0003278439,0.00031850688],"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":[0.00017135897,0.000032814714,0.9925929,0.00004208055,0.00028528372,0.000068691115,0.00037289414,0.0008600859,0.0005844667,0.000061243314,0.0005516989,0.004376468],"study_design_scores_gemma":[0.0000012381394,0.000011368379,0.99895465,0.000008288508,0.00002114469,0.000017918244,0.00016536485,0.00017429104,0.00008863464,0.000007742505,0.0005446738,0.0000046629757],"about_ca_topic_score_codex":0.121973254,"about_ca_topic_score_gemma":0.18260384,"teacher_disagreement_score":0.121973254,"about_ca_system_score_codex":0.0012546543,"about_ca_system_score_gemma":0.0010222562,"threshold_uncertainty_score":0.24252659},"labels":[],"label_agreement":null},{"id":"W3047354022","doi":"","title":"Investigating the sedimentary architecture and morphology of the Brampton kame belt using ground-penetrating radar (GPR) and high-resolution LiDAR data","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ground-penetrating radar; Lidar; Geology; High resolution; Architecture; Remote sensing; Radar; Sedimentary rock; Geomorphology; Geography; Archaeology; Geochemistry; Engineering","score_opus":0.05034387020752116,"score_gpt":0.2562770626149248,"score_spread":0.20593319240740363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047354022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99924076,0.000047757396,0.00012298209,0.000010175635,7.572018e-7,0.0000041822977,0.00007490878,0.000004329208,0.00049418584],"genre_scores_gemma":[0.99894553,0.00007484709,0.0004456273,0.000008641405,0.0000012141307,0.0000053217946,0.00018806692,0.0000027860751,0.00032812372],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999429,0.0000060525217,0.000005520341,0.000016093793,0.000014207355,0.000015289788],"domain_scores_gemma":[0.99988806,0.000022067923,0.00003429839,0.000009339977,0.000032205302,0.0000140575985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001400341,0.00013183213,0.00012458753,0.0011805935,0.00022603662,0.0005103226,0.00022891162,0.00026764456,0.000763707],"category_scores_gemma":[0.00048488716,0.00022915336,0.00008109884,0.0010362806,0.00026802786,0.0005105693,0.00042097672,0.00016152054,0.00025059498],"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":[0.0003368491,0.00010622403,0.8509821,0.00012876518,0.00007218871,0.0014467445,0.0028929801,0.0018413442,0.098707005,0.00040953033,0.0002463542,0.04282995],"study_design_scores_gemma":[0.000005786423,0.000023787383,0.9973328,0.0000069520565,0.000010270594,0.0001422544,0.00061468413,0.000873461,0.0005802717,0.00002833485,0.0003782602,0.0000030915478],"about_ca_topic_score_codex":0.012991648,"about_ca_topic_score_gemma":0.027388478,"teacher_disagreement_score":0.012991648,"about_ca_system_score_codex":0.00017838675,"about_ca_system_score_gemma":0.00022446473,"threshold_uncertainty_score":0.025832057},"labels":[],"label_agreement":null},{"id":"W3047381903","doi":"","title":"Deep Sea Shell Taphonomy: Interactive benthic experiments in hydrate environments of Barkley Canyon, Ocean Networks Canada.","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Cephalopods and Marine Biology","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Taphonomy; Canyon; Benthic zone; Deep sea; Geology; Oceanography; Shell (structure); Petroleum seep; Paleontology; Engineering; Ecology; Geomorphology","score_opus":0.02154469889712471,"score_gpt":0.22172051548199495,"score_spread":0.20017581658487024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047381903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989293,0.000023701949,0.000045956014,0.000018437404,0.000002246971,0.000018289178,0.0005002934,0.000005840535,0.00045589125],"genre_scores_gemma":[0.993796,0.00006432247,0.0005324859,0.00009721095,0.0000019725555,0.000061822575,0.0009976383,0.000022231858,0.004426299],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99985325,0.00002254305,0.0000042450997,0.000046297173,0.000021854561,0.000051791663],"domain_scores_gemma":[0.99931276,0.00010244457,0.000046685927,0.000045679404,0.00011055918,0.00038187267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002502514,0.00034806362,0.00036708915,0.00023859245,0.001848207,0.00041208314,0.0007190661,0.0004414734,0.001535872],"category_scores_gemma":[0.00047312176,0.00030256755,0.0002203518,0.00030051777,0.00088478555,0.00024383237,0.0006185489,0.00066364295,0.00017835326],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.022789743,0.0042564985,0.43146127,0.00029414185,0.00038210882,0.0013160027,0.0071063326,0.0034510833,0.49838465,0.00052959245,0.0061399997,0.023888571],"study_design_scores_gemma":[0.00009401354,0.0010186804,0.9896987,0.0000070547226,0.00004891725,0.000047286372,0.0018256289,0.0005009998,0.005795911,0.000059104077,0.0008843695,0.000019300585],"about_ca_topic_score_codex":0.7938282,"about_ca_topic_score_gemma":0.9468457,"teacher_disagreement_score":0.20617181,"about_ca_system_score_codex":0.0028603885,"about_ca_system_score_gemma":0.003503174,"threshold_uncertainty_score":0.41477197},"labels":[],"label_agreement":null},{"id":"W3047514866","doi":"","title":"Cumulative probability functions and their role in evaluating the chronology of geomorphological events during the Holocene","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","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":"Radiocarbon dating; Chronology; Holocene; Geology; Physical geography; Archaeology; Paleontology; Geography","score_opus":0.049943265153689104,"score_gpt":0.2930915523588108,"score_spread":0.2431482872051217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047514866","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":[0.12453382,0.0063825026,0.8568149,0.0004849018,0.00019639713,0.000114333794,0.0013524276,0.0015646224,0.008556014],"genre_scores_gemma":[0.83601385,0.003420252,0.1562104,0.00010883863,0.00032933563,0.00019710627,0.0012257174,0.00025979374,0.0022346477],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99722797,0.0013449743,0.00020214335,0.000537267,0.00052239664,0.0001653204],"domain_scores_gemma":[0.91183066,0.07531241,0.005518872,0.0027696695,0.003544472,0.0010239708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018346732,0.0011436903,0.0008893522,0.014901204,0.0008664069,0.003973883,0.0018575963,0.0014678213,0.0027664485],"category_scores_gemma":[0.09812949,0.00056714535,0.0014139095,0.007996406,0.0026635814,0.0048449133,0.001221609,0.001405804,0.00046395182],"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":[0.0003160422,0.00006770091,0.20300765,0.0003820258,0.00057936186,0.00050751964,0.0014441516,0.3435139,0.00089485996,0.19382837,0.0035654427,0.251893],"study_design_scores_gemma":[0.000030159104,0.00020799028,0.115845844,0.0003568093,0.00023425075,0.000997986,0.00083402975,0.5991081,0.0011229735,0.26829278,0.01265381,0.0003152468],"about_ca_topic_score_codex":0.021175528,"about_ca_topic_score_gemma":0.006444416,"teacher_disagreement_score":0.021175528,"about_ca_system_score_codex":0.0021234944,"about_ca_system_score_gemma":0.0013845072,"threshold_uncertainty_score":0.0970279},"labels":[],"label_agreement":null},{"id":"W3047639640","doi":"","title":"Urban microclimate modelling for evaluating the impact of heat mitigation measures on pedestrian thermal comfort: case of Vancouver's local climate zones","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Microclimate; Urban heat island; Pedestrian; Environmental science; Thermal comfort; Thermal sensation; Urban climate; Meteorology; Air temperature; Geography; Civil engineering; Urban planning; Engineering","score_opus":0.05042644826910388,"score_gpt":0.3211466034362755,"score_spread":0.2707201551671716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047639640","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9715768,0.00019190053,0.010519515,0.00016983667,0.000025637077,0.00006730903,0.0005991641,0.00013138186,0.016718421],"genre_scores_gemma":[0.995758,0.00006776052,0.0024375801,0.0000110869905,0.0000029179491,0.000019813993,0.000097563985,0.000016484582,0.0015887396],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996964,0.00013173546,0.0000067204783,0.00003687187,0.00004586481,0.000082461134],"domain_scores_gemma":[0.9993563,0.00033246365,0.000032116855,0.000036516234,0.00017540416,0.00006717196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041593087,0.0007592765,0.00057646557,0.00054345076,0.0010528081,0.0018370583,0.0010864752,0.0008719408,0.0023323693],"category_scores_gemma":[0.0011885342,0.00043821472,0.00062413205,0.00089735945,0.0004310279,0.00038596662,0.000632654,0.00049637747,0.00020177879],"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":[0.00013179066,0.000099981655,0.01041153,0.000038148657,0.00003560199,0.000119469434,0.00010471454,0.9813504,0.00086921715,0.0008193145,0.00051092304,0.005509009],"study_design_scores_gemma":[0.000013435668,0.00003696083,0.0044904454,0.000005358415,0.000013742617,0.000013753971,0.0001656923,0.9945186,0.00026089713,0.00015862226,0.0003120381,0.000010375608],"about_ca_topic_score_codex":0.6301217,"about_ca_topic_score_gemma":0.67395496,"teacher_disagreement_score":0.3698783,"about_ca_system_score_codex":0.0033415474,"about_ca_system_score_gemma":0.0027955503,"threshold_uncertainty_score":0.74411315},"labels":[],"label_agreement":null},{"id":"W3047670430","doi":"","title":"Debris flow hazards and risks on Cheekye Fan, British Columbia","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Debris flow; Environmental science; Debris; Geography; Meteorology","score_opus":0.016392125424209848,"score_gpt":0.240502419913189,"score_spread":0.22411029448897915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047670430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9761578,0.0006947744,0.000105999105,0.0008957978,0.000024076671,0.00007891516,0.0016528602,0.00002411721,0.020365644],"genre_scores_gemma":[0.9572948,0.0012232978,0.00025034006,0.0002131696,0.000006225027,0.000039797887,0.0007636732,0.0000109504435,0.04019761],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99973065,0.000024468416,0.000009100162,0.00002178166,0.000073551106,0.00014048358],"domain_scores_gemma":[0.99941003,0.000050289822,0.000050636325,0.000016882146,0.0003022542,0.00016994082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019456161,0.00029746402,0.00020867586,0.0012717461,0.0056748106,0.0013126025,0.0008213671,0.0006427425,0.006866444],"category_scores_gemma":[0.00086580776,0.00030046792,0.00018244541,0.0019409243,0.00071684865,0.00028402577,0.0010614323,0.00071753457,0.00048818722],"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":[0.00030679474,0.00021339598,0.89380527,0.00016212248,0.00007373825,0.0034990548,0.00788663,0.001072088,0.0016875024,0.0010566876,0.019196535,0.071040265],"study_design_scores_gemma":[0.000018188213,0.000052293086,0.96132207,0.00011173203,0.000019786265,0.0003086465,0.019466478,0.0005158781,0.00027427173,0.00016187497,0.017723981,0.000024688221],"about_ca_topic_score_codex":0.99119735,"about_ca_topic_score_gemma":0.99867225,"teacher_disagreement_score":0.016276354,"about_ca_system_score_codex":0.016276354,"about_ca_system_score_gemma":0.025497379,"threshold_uncertainty_score":0.11809373},"labels":[],"label_agreement":null},{"id":"W3047678292","doi":"","title":"Importance of inorganic geochemical characteristics on assessment of shale gas potential in the Devonian Horn River Formation of western Canada","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Devonian; Geology; Oil shale; Shale gas; French horn; Geochemistry; Mining engineering; Earth science; Paleontology","score_opus":0.016884999485141473,"score_gpt":0.24649633120422693,"score_spread":0.22961133171908546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047678292","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964217,0.00015577032,0.00011517757,0.000029487888,0.000001976911,0.000010495177,0.0003483652,0.0000048432134,0.0029122522],"genre_scores_gemma":[0.99842405,0.000105807354,0.00015969899,0.000012334021,7.060823e-7,0.0000032046203,0.00018949935,0.0000035772257,0.0011010974],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996383,0.000029171082,0.000026474818,0.00006015205,0.00013310618,0.00011274155],"domain_scores_gemma":[0.9994105,0.000060170125,0.000041100644,0.000010195686,0.0003903941,0.00008762069],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000407184,0.00032648214,0.00028398866,0.0017177778,0.0017123234,0.0019311843,0.0006710242,0.00032936395,0.00095937384],"category_scores_gemma":[0.0009237992,0.00020453108,0.00023335803,0.0015653655,0.00086985674,0.00031553255,0.00077438715,0.00023220878,0.00020545031],"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":[0.00021170228,0.000021541324,0.972875,0.0000663893,0.00008170198,0.00028344648,0.0016274751,0.0016604973,0.008205079,0.00033683257,0.00023950904,0.014390806],"study_design_scores_gemma":[0.000003822896,0.000013674371,0.9926347,0.000026901243,0.000029497203,0.000046542747,0.002816782,0.0015061691,0.0014797922,0.00003758479,0.0013956268,0.00000895542],"about_ca_topic_score_codex":0.982803,"about_ca_topic_score_gemma":0.99280655,"teacher_disagreement_score":0.017197013,"about_ca_system_score_codex":0.010652933,"about_ca_system_score_gemma":0.009222288,"threshold_uncertainty_score":0.0772928},"labels":[],"label_agreement":null},{"id":"W3047800330","doi":"","title":"Sedimentary regime of deep submarine canyons around Fylla Banke, northeastern Labrador Sea","year":2014,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Submarine canyon; Geology; Canyon; Sedimentary rock; Submarine; Oceanography; Geomorphology; Paleontology","score_opus":0.022674838064675948,"score_gpt":0.21447089282440235,"score_spread":0.1917960547597264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047800330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990791,0.000049414426,0.000009681479,0.000012073985,0.0000017274936,0.0000026358016,0.00034672962,0.0000028119039,0.0004956423],"genre_scores_gemma":[0.9986656,0.00006561205,0.000047416495,0.000012243789,0.000002353286,0.0000046906575,0.0005257929,0.0000017734792,0.0006745921],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999242,0.0000074218624,0.000009718506,0.000021812903,0.0000092256005,0.00002760735],"domain_scores_gemma":[0.9997812,0.000026090423,0.00006271918,0.000011117336,0.000046130906,0.0000727819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001693946,0.00019921617,0.0002714024,0.0009339787,0.0006582895,0.0005961768,0.00030413942,0.00023178561,0.0009623996],"category_scores_gemma":[0.00030231354,0.00015333005,0.00018590465,0.001033622,0.00044121634,0.00024939486,0.0004863548,0.0001414491,0.00018649391],"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":[0.00028757085,0.000040441428,0.99083555,0.00003556535,0.00006981297,0.00028105208,0.0010032189,0.00048557695,0.0019353436,0.000084648054,0.00050558103,0.004435668],"study_design_scores_gemma":[0.0000040988316,0.000012144865,0.9988996,0.0000055596456,0.000008518634,0.000030479994,0.0006166072,0.00008818392,0.000049678874,0.0000039650326,0.0002792986,0.0000018314963],"about_ca_topic_score_codex":0.39144775,"about_ca_topic_score_gemma":0.6597466,"teacher_disagreement_score":0.6085522,"about_ca_system_score_codex":0.0012147115,"about_ca_system_score_gemma":0.0013032729,"threshold_uncertainty_score":0.77833855},"labels":[],"label_agreement":null},{"id":"W3047815033","doi":"","title":"Impact of Trans-Boundary Emissions on Modelled Air Pollution in Canada","year":2014,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Air pollution; Environmental science; Pollution; Boundary (topology); Meteorology; Geography; Mathematics; Chemistry","score_opus":0.016375053051776108,"score_gpt":0.2312998791342795,"score_spread":0.21492482608250338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047815033","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9831234,0.00038215666,0.0005744414,0.0007373382,0.00008445554,0.00003254015,0.0069595305,0.00016843968,0.007937713],"genre_scores_gemma":[0.9923051,0.00024525682,0.0003561516,0.00011356842,0.0000075967114,0.000019752611,0.0025617008,0.000042616437,0.0043482096],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996008,0.000044983484,0.000023125456,0.00009184554,0.00006594845,0.00017329857],"domain_scores_gemma":[0.99927515,0.00011600075,0.000032468448,0.00002477808,0.00040500754,0.00014650408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042069412,0.0010809627,0.00073966075,0.0005507261,0.0020005992,0.00218593,0.001740411,0.0022150225,0.004320719],"category_scores_gemma":[0.0011196368,0.00077870203,0.0018608253,0.0013435475,0.0011077637,0.0008528835,0.00084513787,0.0015774814,0.0006260778],"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":[0.00043848614,0.00012922667,0.04763547,0.00009229408,0.0002103417,0.00026200703,0.00013215186,0.9415879,0.0018041204,0.0014579883,0.003268079,0.0029819405],"study_design_scores_gemma":[0.00045942853,0.00010168793,0.08132381,0.00008073282,0.00021799712,0.000068317655,0.00094011263,0.90878725,0.0024503497,0.0006246544,0.0047617946,0.0001839128],"about_ca_topic_score_codex":0.99422616,"about_ca_topic_score_gemma":0.98569137,"teacher_disagreement_score":0.03372628,"about_ca_system_score_codex":0.03372628,"about_ca_system_score_gemma":0.025886443,"threshold_uncertainty_score":0.2447024},"labels":[],"label_agreement":null},{"id":"W3047954596","doi":"","title":"Cenozoic evolution of the Yakutat-North American collision zone and structural accommodation of St. Elias syntaxis exhumation, Alaska/Yukon","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cenozoic; Collision; Geology; Accommodation; Seismology; Paleontology; Psychology; Computer science","score_opus":0.018805339822522357,"score_gpt":0.21678832219138455,"score_spread":0.1979829823688622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047954596","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99759287,0.0001583051,0.000025323021,0.00003396003,0.0000021480785,0.0000010065652,0.000091140144,0.0000020880316,0.0020931747],"genre_scores_gemma":[0.9993135,0.00011444668,0.000024656994,0.0000053371446,7.720187e-7,0.0000014610408,0.0000997293,0.0000018144628,0.0004384088],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999479,0.0000062946183,0.0000049475675,0.000015153351,0.0000067922483,0.000018890403],"domain_scores_gemma":[0.999858,0.000015997692,0.00004229798,0.000008593585,0.000048121892,0.000026844009],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017450006,0.000101107085,0.00008825788,0.0008753764,0.001237331,0.0008305902,0.00019867213,0.00022365316,0.0029758702],"category_scores_gemma":[0.00041551772,0.00013923812,0.00009758978,0.0010339869,0.00057145214,0.0003383876,0.00081221334,0.00023944359,0.00022639593],"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":[0.00018259561,0.00002394752,0.97003853,0.00004527078,0.000041355983,0.00029227548,0.0072920667,0.0010057826,0.004490379,0.0021251119,0.0004026211,0.014059975],"study_design_scores_gemma":[0.000002168238,0.0000070151896,0.9952409,0.0000151507575,0.000007922392,0.00007053216,0.0033497007,0.00015602211,0.00011345635,0.00008159766,0.0009530873,0.0000025090765],"about_ca_topic_score_codex":0.20053203,"about_ca_topic_score_gemma":0.44113106,"teacher_disagreement_score":0.799468,"about_ca_system_score_codex":0.0011928589,"about_ca_system_score_gemma":0.001186046,"threshold_uncertainty_score":0.39872956},"labels":[],"label_agreement":null},{"id":"W3048099600","doi":"","title":"Diatoms (Class Bacillariophyceae) and geochemistry from annually laminated mid-Holocene sediments, west coast Canada: insights into abrupt climate change in the past","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Holocene; Geology; Diatom; Paleolimnology; Oceanography; Climate change; Physical geography; Geography","score_opus":0.016676702193416743,"score_gpt":0.2353911635614329,"score_spread":0.21871446136801614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048099600","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943585,0.0014829239,0.00009086475,0.00010826647,0.000010441003,0.000006753953,0.0020268636,0.000008102674,0.0019072753],"genre_scores_gemma":[0.99445987,0.0011891489,0.0002654701,0.00008626949,0.0000060557863,0.0000056617523,0.0018507058,0.000008380417,0.0021283736],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988854,0.0000029909538,0.0000064015035,0.000028193706,0.000036262456,0.000037563063],"domain_scores_gemma":[0.9996488,0.000011890376,0.000030963238,0.0000070695014,0.00024023952,0.00006103379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016862445,0.00032473973,0.00026647456,0.0014124028,0.003028176,0.0015314907,0.00046763863,0.00031347983,0.001325617],"category_scores_gemma":[0.00044015414,0.0003108659,0.00018950607,0.002728616,0.00055460253,0.0004214933,0.0004169879,0.00038419795,0.00025583367],"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":[0.00018860016,0.000027995855,0.96236837,0.000077264915,0.000093686016,0.00014169766,0.002121663,0.00030926632,0.016496297,0.00015902458,0.0007954598,0.01722063],"study_design_scores_gemma":[0.000001142466,0.0000029836324,0.9985678,0.000005925123,0.000008583839,0.000020887226,0.00031552743,0.0000449493,0.0002598886,0.000008549013,0.00076139823,0.0000023466775],"about_ca_topic_score_codex":0.9839008,"about_ca_topic_score_gemma":0.99582833,"teacher_disagreement_score":0.016099215,"about_ca_system_score_codex":0.011182495,"about_ca_system_score_gemma":0.008061259,"threshold_uncertainty_score":0.081135094},"labels":[],"label_agreement":null},{"id":"W3048197922","doi":"","title":"Uncertainties and Challenges in Long-term d13C Measurements of Atmospheric CO2 at Canadian Baseline Stations: Can Human induced CO2 Detected & Quantified at Regional Scale?","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Baseline (sea); Environmental science; Scale (ratio); Term (time); Climatology; Atmospheric sciences; Geology; Oceanography; Geography; Cartography","score_opus":0.07039387176007506,"score_gpt":0.2595167372948353,"score_spread":0.18912286553476026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048197922","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87209404,0.02119361,0.051890865,0.022116812,0.00046688766,0.000099960125,0.01057805,0.00045543944,0.021104343],"genre_scores_gemma":[0.98464,0.0020282697,0.010447909,0.0010490202,0.00011798753,0.000024828209,0.0009253973,0.000062509134,0.0007040004],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9954516,0.00075168174,0.00022436267,0.0012078339,0.0017950083,0.00056946184],"domain_scores_gemma":[0.9835896,0.0059529985,0.001394799,0.0010680122,0.007607298,0.000387219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014049327,0.0007132045,0.00078987645,0.0017089677,0.0026252735,0.0028966735,0.0026802844,0.001556442,0.00063499785],"category_scores_gemma":[0.026219461,0.0005232273,0.000538503,0.00402142,0.0033921746,0.0022278216,0.0011531645,0.0012025755,0.00024012923],"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":[0.0004391002,0.00009150713,0.68387413,0.0009328294,0.00089994376,0.0003799124,0.0029333695,0.05932348,0.021028036,0.008259998,0.011848235,0.2099895],"study_design_scores_gemma":[0.00002564799,0.00006971661,0.87117195,0.00036876567,0.00041870915,0.00031387692,0.005377191,0.044801623,0.015123298,0.018305935,0.04373062,0.00029250493],"about_ca_topic_score_codex":0.8948812,"about_ca_topic_score_gemma":0.9424707,"teacher_disagreement_score":0.10511881,"about_ca_system_score_codex":0.011623546,"about_ca_system_score_gemma":0.01358293,"threshold_uncertainty_score":0.21147573},"labels":[],"label_agreement":null},{"id":"W3048309264","doi":"","title":"Quantifying the influence of snow parameterizations on climate in the Canadian LAnd Surface Scheme (CLASS)","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Snow; Climate model; Climatology; Environmental science; Class (philosophy); Climate change; Meteorology; Geography; Computer science; Geology","score_opus":0.0714374519278981,"score_gpt":0.27710625850772974,"score_spread":0.20566880657983164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048309264","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885216,0.00024053428,0.0009455301,0.00042918042,0.000019615749,0.000026693831,0.0063284347,0.000087291046,0.00340122],"genre_scores_gemma":[0.99305516,0.000100488534,0.001171863,0.000050678413,0.0000050876592,0.0000073181354,0.0049419524,0.00003606361,0.0006314909],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930286,0.00012398603,0.000025606614,0.0001500935,0.00020900417,0.00018846945],"domain_scores_gemma":[0.9977852,0.00057476445,0.0001654825,0.00020016053,0.0010684023,0.0002059683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001826907,0.00045760768,0.0002761995,0.000712015,0.0011290299,0.0018196418,0.00088224857,0.00050567824,0.0012460889],"category_scores_gemma":[0.0065023378,0.000269208,0.0005208913,0.0014879417,0.0006816036,0.0008977067,0.0006236064,0.0005249675,0.00016797197],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052698527,0.00009112208,0.6909505,0.00011202852,0.00041480872,0.00008080309,0.00034899492,0.25928688,0.0047576674,0.005223494,0.008748708,0.029458025],"study_design_scores_gemma":[0.00004678615,0.000026090329,0.77808344,0.00005387688,0.00012582628,0.000023262828,0.0005375704,0.21063371,0.002392729,0.00089709513,0.0071108267,0.00006868978],"about_ca_topic_score_codex":0.9831838,"about_ca_topic_score_gemma":0.99121994,"teacher_disagreement_score":0.016816199,"about_ca_system_score_codex":0.013546179,"about_ca_system_score_gemma":0.012905612,"threshold_uncertainty_score":0.09828484},"labels":[],"label_agreement":null},{"id":"W3048342222","doi":"","title":"A 10-year record of geochemical and isotopic monitoring at the IEA Weyburn-Midale CO2 Monitoring and Storage Project (Saskatchewan, Canada)","year":2013,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Geology; Hydrology (agriculture)","score_opus":0.010694236925612001,"score_gpt":0.2052839361930152,"score_spread":0.1945896992674032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048342222","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9241086,0.0008624533,0.0023482165,0.0010621294,0.00010014003,0.00011880485,0.05893668,0.00018135938,0.0122817],"genre_scores_gemma":[0.92736673,0.00094244356,0.004447496,0.00060880365,0.000046069767,0.0001007615,0.050671432,0.0000773149,0.015738852],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99973315,0.000014663351,0.000019581354,0.000051896186,0.00011258516,0.00006805471],"domain_scores_gemma":[0.9976666,0.00007021904,0.00013383165,0.00006901761,0.0018846687,0.00017567948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067924935,0.00027444918,0.00033878526,0.001673518,0.0014716955,0.0008683048,0.000784737,0.00062982884,0.001088916],"category_scores_gemma":[0.00061401975,0.00028146675,0.00015707505,0.0028125849,0.00030752606,0.00064070494,0.0008701108,0.0007132208,0.00059897127],"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":[0.000285482,0.00023687568,0.8916398,0.00017962008,0.00021965492,0.0005927635,0.001194508,0.0017260581,0.035454895,0.00055040274,0.026701812,0.04121816],"study_design_scores_gemma":[0.000007206413,0.000013560926,0.98512834,0.000021904338,0.00002449025,0.00008020301,0.0002744598,0.0005616561,0.002101135,0.00003676601,0.011733447,0.000016811176],"about_ca_topic_score_codex":0.73120433,"about_ca_topic_score_gemma":0.9224574,"teacher_disagreement_score":0.26879567,"about_ca_system_score_codex":0.003785745,"about_ca_system_score_gemma":0.0060002105,"threshold_uncertainty_score":0.5407573},"labels":[],"label_agreement":null},{"id":"W3048375889","doi":"","title":"Composition and meteorological changes associated with a strong stratospheric intrusion event in the Canadian High Arctic","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Climatology; Arctic; Intrusion; Event (particle physics); Environmental science; The arctic; Meteorology; Geology; Geography; Oceanography","score_opus":0.021778257114495655,"score_gpt":0.2212825903397099,"score_spread":0.19950433322521424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048375889","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970445,0.00018103363,0.000028350092,0.00013476519,0.000018802784,0.000010788472,0.0007988523,0.000005768587,0.0017771381],"genre_scores_gemma":[0.9984176,0.00017066248,0.00006080447,0.00005715152,0.0000139175845,0.0000051279144,0.00073485373,0.0000043509667,0.0005354941],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997162,0.000010335186,0.000014431367,0.000040301482,0.00010070708,0.00011797667],"domain_scores_gemma":[0.99920887,0.000035939654,0.00010242728,0.000013693199,0.00043030654,0.000208767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032535827,0.00033563958,0.00042771766,0.0016406862,0.003129382,0.0012109701,0.00071362057,0.00066773465,0.0010631132],"category_scores_gemma":[0.0006882282,0.00026055978,0.00033568713,0.00238816,0.00080111274,0.00034599754,0.0007823741,0.000566725,0.00015415112],"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":[0.0007306905,0.00012223583,0.9749062,0.00006402242,0.00016895866,0.00065648445,0.0018899649,0.0009933198,0.011990012,0.0001742256,0.0014898902,0.00681403],"study_design_scores_gemma":[0.0000025037316,0.000008341093,0.9984503,0.0000049027085,0.000013416273,0.000024893854,0.00068776374,0.00015322166,0.0001327531,0.0000071620498,0.0005091466,0.000005634353],"about_ca_topic_score_codex":0.9771532,"about_ca_topic_score_gemma":0.98756546,"teacher_disagreement_score":0.022846818,"about_ca_system_score_codex":0.010519587,"about_ca_system_score_gemma":0.011895788,"threshold_uncertainty_score":0.07632536},"labels":[],"label_agreement":null},{"id":"W3048388038","doi":"","title":"Using map view deformation patterns to constrain 3D kinematic models: the Sudbury Basin, Canada","year":2012,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Kinematics; Geology; Deformation (meteorology); Geodesy; Geometry; Geography; Mathematics; Physics","score_opus":0.07012464057873745,"score_gpt":0.25026029075898576,"score_spread":0.1801356501802483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048388038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9225493,0.0014818177,0.010140901,0.0013303343,0.0001064232,0.0002300467,0.024735553,0.00078421383,0.038641285],"genre_scores_gemma":[0.9619385,0.001063413,0.013959609,0.000101772384,0.0000122282145,0.00007567165,0.01068584,0.0002178023,0.011945138],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996619,0.000027989387,0.000014546774,0.00008164597,0.00014328262,0.000070691254],"domain_scores_gemma":[0.9993544,0.00006355384,0.000040895266,0.00003768843,0.0004287351,0.0000747292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049378216,0.0005201418,0.00051797036,0.0016954667,0.0032901776,0.0031803362,0.0011556195,0.00056134205,0.0046891165],"category_scores_gemma":[0.002135842,0.0005634272,0.00050733256,0.0038967545,0.0007308975,0.0007046554,0.0008646539,0.0006265634,0.0006488263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004935605,0.00026619917,0.37753606,0.00032508117,0.0005905802,0.00078255107,0.0028565966,0.31026006,0.0057523353,0.0068112067,0.040184904,0.25414088],"study_design_scores_gemma":[0.00018555716,0.00003710619,0.5725861,0.00030824225,0.00019338807,0.00008363429,0.0040452834,0.3734388,0.0024333328,0.002339167,0.044165235,0.00018411207],"about_ca_topic_score_codex":0.9975285,"about_ca_topic_score_gemma":0.9991233,"teacher_disagreement_score":0.015949719,"about_ca_system_score_codex":0.015949719,"about_ca_system_score_gemma":0.03342497,"threshold_uncertainty_score":0.11572385},"labels":[],"label_agreement":null},{"id":"W3048574229","doi":"","title":"Does serpentinite carbonation occur during recharge or discharge of hydrothermal fluids? A case of study from the Newfoundland margin","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Carbonation; Groundwater recharge; Hydrothermal circulation; Margin (machine learning); Geology; Geochemistry; Geotechnical engineering; Aquifer; Paleontology; Chemical engineering; Groundwater; Engineering","score_opus":0.029371796305716815,"score_gpt":0.2749188755324775,"score_spread":0.2455470792267607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048574229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975278,0.000051260984,0.000054908378,0.00009161801,0.0000014896933,0.000005073516,0.000054067157,0.0000020908906,0.0022117244],"genre_scores_gemma":[0.9990765,0.000055509798,0.00007531376,0.000015966556,0.0000013837544,0.0000011337635,0.000024250272,0.0000014412941,0.0007483745],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998429,0.0000136207345,0.000006030714,0.000026575435,0.000024815954,0.00008598698],"domain_scores_gemma":[0.99968445,0.000113591486,0.00007828561,0.000024224219,0.00005957319,0.000039888244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020536591,0.00019507504,0.00019013538,0.00046999662,0.0019152081,0.0011178108,0.0004342046,0.00081673614,0.0010995001],"category_scores_gemma":[0.0006959325,0.00015111799,0.0002670374,0.00061909325,0.0011974489,0.0005441147,0.00045472383,0.00039498697,0.00008146741],"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":[0.0007346728,0.00018720717,0.8670506,0.00012797661,0.000105725856,0.074550234,0.011792666,0.0070231026,0.018796414,0.0021334016,0.00092858163,0.016569365],"study_design_scores_gemma":[0.00002922094,0.00017073164,0.9335787,0.0000769674,0.00010287783,0.004940821,0.04234857,0.0057141436,0.006827908,0.00036649892,0.005803605,0.000039882972],"about_ca_topic_score_codex":0.6903389,"about_ca_topic_score_gemma":0.86579186,"teacher_disagreement_score":0.3096611,"about_ca_system_score_codex":0.0048317183,"about_ca_system_score_gemma":0.0023817907,"threshold_uncertainty_score":0.6229695},"labels":[],"label_agreement":null},{"id":"W3048767865","doi":"","title":"Analysis and adaption of tools for water system management of the Lièvre River watershed, Quebec, Canada, to the context of climate change","year":2012,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Climate change; Watershed; Environmental resource management; Watershed management; Geography; Water resource management; Environmental planning; Hydrology (agriculture); Environmental science; Archaeology; Engineering; Computer science; Geology; Oceanography","score_opus":0.02655525232368154,"score_gpt":0.22418591217227363,"score_spread":0.19763065984859207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048767865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89606637,0.00091685884,0.07687632,0.0020045394,0.000038760445,0.0005781186,0.0052374364,0.0025274938,0.015754027],"genre_scores_gemma":[0.8983902,0.00029063455,0.09433141,0.0001014495,0.000010923358,0.00020749688,0.0030732027,0.0003348943,0.0032597086],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99827814,0.0006483735,0.00012983853,0.00019212128,0.0005469327,0.00020464492],"domain_scores_gemma":[0.99089605,0.0045315535,0.00057837676,0.00070522056,0.0030486933,0.00024019562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041064196,0.0005706786,0.00026410134,0.002670856,0.0008893612,0.0027864831,0.0009858147,0.0004438408,0.0019374847],"category_scores_gemma":[0.016241247,0.00022970374,0.00051185256,0.0030723263,0.00070592976,0.0013868317,0.0008137402,0.00063393667,0.00020800107],"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":[0.0004870426,0.00036899102,0.19761091,0.00067041785,0.00036090807,0.00047053778,0.0058418424,0.18317139,0.0087370835,0.019078441,0.013871443,0.56933105],"study_design_scores_gemma":[0.00010071737,0.00019336637,0.25926566,0.0002691417,0.00020719777,0.00010502334,0.003826083,0.69232875,0.0077687125,0.00604884,0.029756274,0.00013025607],"about_ca_topic_score_codex":0.84382445,"about_ca_topic_score_gemma":0.8906354,"teacher_disagreement_score":0.15617555,"about_ca_system_score_codex":0.012626078,"about_ca_system_score_gemma":0.01633425,"threshold_uncertainty_score":0.31419057},"labels":[],"label_agreement":null},{"id":"W3048769132","doi":"","title":"Geoid improvement over Alaska/Yukon area by GRACE and GOCE models","year":2012,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geoid; Geology; Geodesy; Remote sensing; Physical geography; Geography; Geophysics; Measured depth","score_opus":0.03433293399116472,"score_gpt":0.22433975405954726,"score_spread":0.19000682006838254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048769132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9384131,0.00088894233,0.0131354425,0.0013129812,0.00046879207,0.000066468085,0.016546573,0.004843711,0.024323888],"genre_scores_gemma":[0.985112,0.0001912835,0.005149239,0.00009833884,0.000028454677,0.000024325764,0.0061918907,0.00030750956,0.0028969804],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997093,0.000055547072,0.000025583924,0.000096633325,0.000067853936,0.000045019355],"domain_scores_gemma":[0.9994413,0.000079074816,0.000034828394,0.00013095514,0.00027397502,0.00003984612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008427636,0.0006986154,0.0007491198,0.0007541091,0.00065888016,0.0010334359,0.00072195794,0.0007274879,0.003943404],"category_scores_gemma":[0.0022582384,0.00041344046,0.0010203423,0.0011562862,0.00028821352,0.001386256,0.00057794515,0.00057296094,0.0010917422],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046240026,0.00013830583,0.057903606,0.00008240829,0.00032758628,0.00013281613,0.00009557141,0.89485884,0.002537934,0.001134937,0.0072588767,0.035066746],"study_design_scores_gemma":[0.00021574167,0.0000591073,0.035994,0.000028728737,0.00024409762,0.000029278157,0.00015991529,0.9531166,0.0023916645,0.0009532333,0.00675146,0.000056153003],"about_ca_topic_score_codex":0.28037286,"about_ca_topic_score_gemma":0.2710737,"teacher_disagreement_score":0.71962714,"about_ca_system_score_codex":0.0011581647,"about_ca_system_score_gemma":0.0025817181,"threshold_uncertainty_score":0.5574818},"labels":[],"label_agreement":null},{"id":"W3049044171","doi":"","title":"Multiparameter Gas Hydrate Observations from NEPTUNE Canada's Seafloor Cable","year":2012,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Neptune; Geology; Seafloor spreading; Astrobiology; Clathrate hydrate; Oceanography; Planet; Hydrate; Astronomy; Physics; Chemistry","score_opus":0.031421394921211994,"score_gpt":0.22286760702963457,"score_spread":0.19144621210842258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049044171","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9812924,0.00017323009,0.000528614,0.0001777494,0.000019759502,0.00002138075,0.0068178284,0.00017653931,0.010792553],"genre_scores_gemma":[0.99047285,0.00014458896,0.0011993621,0.00006146677,0.000012027559,0.000013515857,0.0042770184,0.000046885507,0.0037721596],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998221,0.00000515736,0.000003916626,0.00003257209,0.00009091049,0.00004533409],"domain_scores_gemma":[0.9996388,0.000024034103,0.000027727634,0.000021473325,0.00021086841,0.00007695095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016321724,0.00035941802,0.00025342155,0.0009497436,0.0013825393,0.00060343987,0.0006463043,0.0005827247,0.0015159162],"category_scores_gemma":[0.0003695114,0.00025240204,0.00021938996,0.001548231,0.00024193416,0.0003708961,0.00043640556,0.0004979719,0.0003548035],"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":[0.0012563618,0.00029270726,0.73726153,0.00018009095,0.00024779726,0.0014767153,0.0025042933,0.03432626,0.12511009,0.0006617936,0.027245246,0.06943715],"study_design_scores_gemma":[0.000041782805,0.00003656727,0.97085345,0.000027366603,0.000037599235,0.000080233964,0.0005826292,0.013608915,0.0052828244,0.000058181042,0.0093523115,0.000038129434],"about_ca_topic_score_codex":0.8596617,"about_ca_topic_score_gemma":0.9514352,"teacher_disagreement_score":0.1403383,"about_ca_system_score_codex":0.003490204,"about_ca_system_score_gemma":0.003500177,"threshold_uncertainty_score":0.2823295},"labels":[],"label_agreement":null},{"id":"W3049180445","doi":"","title":"Constraining the timing of last glacial plucking of tors on Cumberland Peninsula, Baffin Island, Eastern Canadian Arctic","year":2014,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Peninsula; Glacial period; Arctic; Geography; Oceanography; Plucking; Geology; Physical geography; Archaeology; Meteorology; Paleontology","score_opus":0.03922606001731783,"score_gpt":0.22581280899027292,"score_spread":0.1865867489729551,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049180445","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990884,0.00047362133,0.00021711216,0.00022377195,0.000020934072,0.000017952505,0.0022136464,0.000021398937,0.0059276195],"genre_scores_gemma":[0.9958294,0.00021522756,0.00041185596,0.000054198088,0.0000051280035,0.000010328489,0.0018475424,0.000015411346,0.0016108865],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999603,0.000023139537,0.000020687781,0.00009932853,0.00006619282,0.00018769222],"domain_scores_gemma":[0.9986313,0.00010036761,0.00014790852,0.000040857372,0.000793385,0.00028616132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006830788,0.00038836163,0.000359809,0.0024572567,0.003589057,0.0018083835,0.00080553995,0.0005377708,0.0021429434],"category_scores_gemma":[0.0017721133,0.0003393026,0.00033446314,0.0028577175,0.0007264779,0.0004444441,0.0009483949,0.0004892959,0.00028031357],"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":[0.00012675427,0.00003780726,0.97692704,0.000047757723,0.00012598971,0.00012198804,0.0019821068,0.0031843234,0.0021071467,0.0005300127,0.0032937657,0.011515189],"study_design_scores_gemma":[0.0000060042616,0.0000045345805,0.99253005,0.000040724874,0.000026542017,0.0000139128515,0.001972074,0.001720876,0.00015908436,0.00004171844,0.0034736104,0.000010836993],"about_ca_topic_score_codex":0.9949208,"about_ca_topic_score_gemma":0.9987625,"teacher_disagreement_score":0.01371817,"about_ca_system_score_codex":0.01371817,"about_ca_system_score_gemma":0.01903677,"threshold_uncertainty_score":0.09953278},"labels":[],"label_agreement":null},{"id":"W3049237173","doi":"","title":"Occurrence of deep convective events over North America under a changing climate using Canadian RCM simulations.","year":2012,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Climatology; Environmental science; Meteorology; Climate model; Climate change; Geography; Geology; Oceanography","score_opus":0.049850364461626835,"score_gpt":0.2714800260235837,"score_spread":0.22162966156195685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049237173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97339964,0.0005898431,0.0007771159,0.0010176414,0.0000886877,0.000035284767,0.0163025,0.00026949955,0.007519782],"genre_scores_gemma":[0.99476516,0.00021417283,0.0007114341,0.00005151155,0.000011600797,0.00001505487,0.003369095,0.00004016401,0.0008217729],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998627,0.000016662309,0.000008212327,0.00003790225,0.000035484914,0.000038964346],"domain_scores_gemma":[0.99929595,0.00012448826,0.00006757364,0.00004179405,0.00033709014,0.00013302428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042032453,0.0004927452,0.00031560415,0.0007325937,0.0012049668,0.00088339887,0.0016096192,0.000967993,0.002336926],"category_scores_gemma":[0.0019353502,0.00040969535,0.00075549056,0.0015599309,0.00040469266,0.0005787853,0.00043098355,0.00089878496,0.0002330374],"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":[0.00044177342,0.0002289424,0.22952421,0.0002325701,0.00049743755,0.00031023458,0.00043459205,0.72528553,0.0020254652,0.0031484133,0.02315615,0.014714726],"study_design_scores_gemma":[0.00019165194,0.000029588626,0.27892113,0.00006289411,0.00018947205,0.000047443104,0.00053654314,0.7108321,0.0006464633,0.00054478797,0.007885008,0.00011285153],"about_ca_topic_score_codex":0.99001837,"about_ca_topic_score_gemma":0.98802024,"teacher_disagreement_score":0.0114504155,"about_ca_system_score_codex":0.0114504155,"about_ca_system_score_gemma":0.009734386,"threshold_uncertainty_score":0.08307892},"labels":[],"label_agreement":null},{"id":"W3049248334","doi":"","title":"Low resilience and high vulnerability of subarctic aquatic ecosystems mark first arrival of Sadlermuits at Native Point, Southampton Island (Nunavut)","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Subarctic climate; Resilience (materials science); Vulnerability (computing); Geography; Oceanography; Ecosystem; Environmental science; Archaeology; Ecology; Geology; Biology","score_opus":0.023029373570377584,"score_gpt":0.30637034045525496,"score_spread":0.28334096688487737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049248334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99722445,0.0000388015,0.000037487283,0.00023601382,0.000004542604,0.000005620436,0.0000663121,0.0000031558861,0.0023835972],"genre_scores_gemma":[0.99830556,0.000050691913,0.0000982426,0.000051895127,0.0000022582685,0.000007648687,0.00004906617,0.0000022226618,0.0014324081],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998658,0.000016603415,0.0000035782082,0.000022265147,0.000021737493,0.00007008675],"domain_scores_gemma":[0.9995783,0.00003995547,0.00008300183,0.000015455,0.00010162568,0.00018164574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024515693,0.00011860371,0.00014848722,0.0005354043,0.0027966471,0.0011591689,0.0004883294,0.0004296309,0.003164246],"category_scores_gemma":[0.0007406567,0.00017511779,0.000080744656,0.00035038264,0.0016028243,0.00057107396,0.0020104647,0.0006910665,0.00027025052],"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":[0.0001643862,0.00006975135,0.91349816,0.00008804021,0.000025155501,0.0020592269,0.05539745,0.0003502158,0.008166945,0.001115429,0.002500024,0.016565196],"study_design_scores_gemma":[0.0000014228119,0.000023252675,0.961997,0.000026046728,0.0000025773206,0.00013753552,0.03528501,0.000059533773,0.0001665582,0.00013068314,0.002164301,0.0000061251512],"about_ca_topic_score_codex":0.35760036,"about_ca_topic_score_gemma":0.8093915,"teacher_disagreement_score":0.64239967,"about_ca_system_score_codex":0.0027971019,"about_ca_system_score_gemma":0.0028397862,"threshold_uncertainty_score":0.71103776},"labels":[],"label_agreement":null},{"id":"W3049522132","doi":"","title":"In situ contribution of old CO2 and CH4 released from soils in burnt and collapsed permafrost in Canada","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Permafrost; Soil water; Environmental science; Earth science; Geology; Physical geography; Soil science; Geography; Oceanography","score_opus":0.03196903178965338,"score_gpt":0.23108437314047156,"score_spread":0.19911534135081818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049522132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963272,0.00027593368,0.00013245567,0.000044393757,0.00000727256,0.0000112808175,0.0014622875,0.000015554157,0.0017236236],"genre_scores_gemma":[0.9975212,0.00026160126,0.00017668006,0.00003204678,0.0000032938779,0.0000082801835,0.0007411237,0.000012523062,0.0012432477],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997322,0.0000050479302,0.000008235386,0.00007858024,0.00006539292,0.000110564244],"domain_scores_gemma":[0.99964285,0.000033480832,0.000021064103,0.0000066706325,0.00021519835,0.000080741025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019577585,0.0005082859,0.00048758165,0.0014153927,0.0030746753,0.0015436118,0.00091043464,0.0005750832,0.0016062664],"category_scores_gemma":[0.00029231914,0.00039814552,0.0003776091,0.0017975903,0.0010330259,0.0005142284,0.000513209,0.0004872583,0.00024683858],"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":[0.0028999646,0.00018877098,0.7768788,0.00030161144,0.00035479132,0.00075642235,0.003858569,0.0049659763,0.18849738,0.00050150807,0.0015666194,0.019229604],"study_design_scores_gemma":[0.000031947162,0.00003080767,0.98383754,0.0000196221,0.000050450883,0.000064145905,0.0018855794,0.0024338323,0.009943937,0.00004274897,0.0016299433,0.000029358385],"about_ca_topic_score_codex":0.98753303,"about_ca_topic_score_gemma":0.99078697,"teacher_disagreement_score":0.017031422,"about_ca_system_score_codex":0.017031422,"about_ca_system_score_gemma":0.009946637,"threshold_uncertainty_score":0.12357223},"labels":[],"label_agreement":null},{"id":"W3049688196","doi":"","title":"Total Storage and Landscape Distribution of Soil Carbon in continuous permafrost terrain of the Central Canadian Arctic","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Permafrost; Terrain; Arctic; Soil carbon; Environmental science; Physical geography; Distribution (mathematics); Hydrology (agriculture); Forestry; Geography; Geology; Soil science; Soil water; Oceanography; Cartography","score_opus":0.014893021460690742,"score_gpt":0.2102149305930567,"score_spread":0.19532190913236597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049688196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969748,0.00033261973,0.00007219695,0.00004359707,0.00000263447,0.0000053268536,0.0014024765,0.000008620212,0.0011577407],"genre_scores_gemma":[0.99877685,0.0001184467,0.00010223177,0.000009656681,0.0000013622097,0.0000034408158,0.00058843254,0.0000037334103,0.0003959322],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997365,0.000014864685,0.00001424925,0.000066987515,0.00005663673,0.000110759116],"domain_scores_gemma":[0.9992093,0.00007357286,0.00008792134,0.000028630522,0.00045803637,0.00014252016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003139497,0.00027492398,0.00043033,0.0026393372,0.0024626378,0.0014506377,0.0009497455,0.00035252346,0.0016130488],"category_scores_gemma":[0.00075526885,0.00031078586,0.00043807144,0.0043578055,0.0010121458,0.00043022563,0.0006847865,0.00023838732,0.0001652319],"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":[0.00043071382,0.00004364287,0.96844614,0.00008711264,0.00022753674,0.00015871723,0.0022869399,0.002986008,0.0046070265,0.0005723875,0.001279117,0.018874655],"study_design_scores_gemma":[0.0000035985,0.0000038022488,0.9979838,0.0000103778675,0.000016182312,0.000025906804,0.0007553559,0.000648097,0.00009012532,0.00003327137,0.0004215322,0.000007993724],"about_ca_topic_score_codex":0.9928358,"about_ca_topic_score_gemma":0.9969459,"teacher_disagreement_score":0.013397148,"about_ca_system_score_codex":0.013397148,"about_ca_system_score_gemma":0.010211757,"threshold_uncertainty_score":0.09720355},"labels":[],"label_agreement":null},{"id":"W3052607585","doi":"","title":"Microstructural analysis of calcite-filled fractures inherited from basement structures, southern Ontario, Canada: long term instability of the craton?","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Calcite; Geology; Instability; Craton; Term (time); Basement; Geochemistry; Seismology; Geography; Archaeology; Tectonics; Physics","score_opus":0.014231116976359065,"score_gpt":0.21859784678608954,"score_spread":0.20436672980973047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3052607585","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99689364,0.000094607014,0.0001541009,0.000024404402,0.0000016048228,0.000008141572,0.0005272364,0.000007661294,0.0022886277],"genre_scores_gemma":[0.9985964,0.00005254489,0.000120467936,0.000005708164,5.367054e-7,0.0000027190436,0.00017558665,0.0000034492905,0.001042576],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99987686,0.0000018483048,0.0000039005067,0.000027001626,0.000049502487,0.00004086018],"domain_scores_gemma":[0.99975044,0.0000104696755,0.000027407816,0.00000958045,0.00017500157,0.000027114556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009346972,0.00014788174,0.00016813252,0.0010415383,0.0015093833,0.0008771197,0.0005433521,0.00034812323,0.0017773693],"category_scores_gemma":[0.00035806096,0.00020851119,0.00015094907,0.0012696118,0.0007487783,0.00019849282,0.00026082626,0.0002270479,0.00022542171],"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":[0.00044691545,0.00007721241,0.71776605,0.00018136867,0.00009392463,0.0011612488,0.0031241742,0.004864806,0.2449876,0.00094071374,0.0010527425,0.025303127],"study_design_scores_gemma":[0.0000017804564,0.000010045137,0.9944622,0.0000070612223,0.000013185434,0.00008323793,0.00093086803,0.0008102275,0.0030454807,0.000026728594,0.0006046057,0.000004521795],"about_ca_topic_score_codex":0.93139625,"about_ca_topic_score_gemma":0.9766044,"teacher_disagreement_score":0.068603754,"about_ca_system_score_codex":0.005925817,"about_ca_system_score_gemma":0.0045560403,"threshold_uncertainty_score":0.13801551},"labels":[],"label_agreement":null},{"id":"W30653418","doi":"10.1152/japplphysiol.00657.2018","title":"Using the network Common Data Form (netCDF) for storage of Atmospheric Data","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"NetCDF; Geospatial analysis; Metadata; Computer science; Spatial data infrastructure; Database; Geospatial metadata; Data management; Data file; Data access; Environmental data; Spatial analysis; Information retrieval; Metadata repository; World Wide Web; Remote sensing; Meta Data Services; Geography","score_opus":0.21906158181179655,"score_gpt":0.3966920458661274,"score_spread":0.17763046405433083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W30653418","genre_codex":"software","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":"software","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036413928,0.0005214858,0.24044874,0.0013493431,0.001816577,0.0010170051,0.30650857,0.407604,0.037092898],"genre_scores_gemma":[0.085090905,0.0017100036,0.20128454,0.0016107796,0.0006366845,0.0058778664,0.6081716,0.050784208,0.044833448],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974565,0.00036304982,0.00050526916,0.0006642302,0.00070986256,0.0003010891],"domain_scores_gemma":[0.9928296,0.00200534,0.0006190018,0.002620565,0.001414678,0.0005108319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052288193,0.0030497946,0.0021215987,0.004333479,0.0010987896,0.004473412,0.0049335426,0.002869214,0.19135167],"category_scores_gemma":[0.024216104,0.0012993575,0.001409502,0.005920421,0.0007530987,0.0058093527,0.0039444193,0.00257283,0.08958342],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012856071,0.00024181276,0.0034900648,0.0014868804,0.00025185276,0.00071254704,0.00032849074,0.01145168,0.0050019408,0.029876586,0.78721493,0.15865771],"study_design_scores_gemma":[0.0006131948,0.00015795961,0.0026015297,0.00046185267,0.00010171888,0.00041144554,0.00014584069,0.09745502,0.010290433,0.048305158,0.8392438,0.00021211927],"about_ca_topic_score_codex":0.009422638,"about_ca_topic_score_gemma":0.005487926,"teacher_disagreement_score":0.19135167,"about_ca_system_score_codex":0.0024433287,"about_ca_system_score_gemma":0.003050386,"threshold_uncertainty_score":0.6401351},"labels":[],"label_agreement":null},{"id":"W3071187268","doi":"","title":"Present-day strain partitioning and strain transfer across the Fairweather and Denali Faults in SW Yukon - SE Alaska","year":2014,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Strain (injury); Geology; Strain partitioning; Seismology; Geodesy; Biology; Anatomy","score_opus":0.0372604137015613,"score_gpt":0.2534845497401147,"score_spread":0.2162241360385534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3071187268","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994911,0.000021956004,0.000022714987,0.000013636058,9.540547e-7,6.186892e-7,0.00006504717,0.000002324797,0.00038166976],"genre_scores_gemma":[0.9997603,0.000012243588,0.000017898099,0.0000029923733,6.5677574e-7,5.6770835e-7,0.00006694868,6.321242e-7,0.00013769587],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998816,0.000010749472,0.00001309749,0.000043212593,0.000018244586,0.000033027663],"domain_scores_gemma":[0.99976903,0.000032582477,0.000046103778,0.000020680998,0.00009041966,0.00004112837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020364723,0.00017486919,0.00021202904,0.0010360556,0.0010474913,0.0007221454,0.0004179454,0.0005517277,0.0012172781],"category_scores_gemma":[0.0006066244,0.00022502079,0.00018586619,0.001146006,0.0008138457,0.0008291925,0.00062116014,0.00025753528,0.00021320222],"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":[0.00017469205,0.00006803252,0.9816062,0.000021343656,0.000046631016,0.00018851967,0.001982596,0.001791228,0.005597142,0.00015831178,0.00014114838,0.008224246],"study_design_scores_gemma":[0.0000023490484,0.000009826863,0.99806494,0.000004814371,0.000007373729,0.000029619421,0.00095328456,0.0005829646,0.00016214378,0.00003029035,0.00014838495,0.00000398894],"about_ca_topic_score_codex":0.24814655,"about_ca_topic_score_gemma":0.4253532,"teacher_disagreement_score":0.75185347,"about_ca_system_score_codex":0.0011210729,"about_ca_system_score_gemma":0.00083287753,"threshold_uncertainty_score":0.49340433},"labels":[],"label_agreement":null},{"id":"W3071485512","doi":"","title":"Radiative forcing through changes in climate and in forest cover in Canada's forests","year":2013,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Radiative forcing; Environmental science; Forcing (mathematics); Forest cover; Climatology; Atmospheric sciences; Geography; Meteorology; Geology; Ecology; Aerosol","score_opus":0.011021050099114848,"score_gpt":0.21367749664209346,"score_spread":0.2026564465429786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3071485512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98671085,0.000632154,0.00017392071,0.0017404316,0.00003789899,0.000012022028,0.0027307814,0.000042665797,0.00791925],"genre_scores_gemma":[0.9956317,0.0003562849,0.00009417339,0.00010191664,0.000009333377,0.000003718039,0.00053618226,0.000014150068,0.0032524958],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997819,0.000016504935,0.0000082838615,0.00003128886,0.00005159374,0.000110396635],"domain_scores_gemma":[0.9995061,0.00007868485,0.000030417694,0.000015117621,0.00023919667,0.00013041573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030254532,0.00026359118,0.00030555483,0.00050884305,0.0024443388,0.0016448795,0.0006059241,0.0005913081,0.0039364486],"category_scores_gemma":[0.000844747,0.00034912425,0.0004751889,0.0009484207,0.00073133124,0.00033193463,0.0005571157,0.0006655862,0.00022204744],"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":[0.0005050846,0.00018873272,0.88576543,0.0001321091,0.00035890416,0.00048145064,0.0021913943,0.054356504,0.010077246,0.0051698764,0.016835406,0.023937695],"study_design_scores_gemma":[0.000029320763,0.000009808486,0.984616,0.000024586441,0.00006457656,0.000042472933,0.0010424489,0.008268673,0.0005199815,0.00047227493,0.0048712646,0.000038655086],"about_ca_topic_score_codex":0.9963236,"about_ca_topic_score_gemma":0.997968,"teacher_disagreement_score":0.028959401,"about_ca_system_score_codex":0.028959401,"about_ca_system_score_gemma":0.023238635,"threshold_uncertainty_score":0.21011615},"labels":[],"label_agreement":null},{"id":"W3079533547","doi":"","title":"U-series vs 14C ages of deep-sea corals from the southern Labrador Sea: Sporadic development of corals and geochemical processes hampering estimation of ambient water ventilation ages","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Cephalopods and Marine Biology","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Oceanography; Series (stratigraphy); Deep water; Coral; Paleontology","score_opus":0.026604696575714033,"score_gpt":0.2428592814109906,"score_spread":0.21625458483527657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3079533547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99714404,0.00016055827,0.00019186696,0.000020584803,0.0000062183276,0.0000031571128,0.0011905438,0.00003338797,0.001249628],"genre_scores_gemma":[0.9984611,0.00006725441,0.00027717682,0.000015704332,0.0000034126635,0.0000045210536,0.000868728,0.000017625931,0.00028451317],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999818,0.000027722239,0.000027525817,0.000053881373,0.000033311924,0.000039651844],"domain_scores_gemma":[0.9993907,0.00008158982,0.00015114067,0.00007018191,0.00025335426,0.000052860923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005817189,0.0003376398,0.00026674377,0.0015283936,0.0006171542,0.0008584837,0.0005615772,0.00030613274,0.0007251954],"category_scores_gemma":[0.000899794,0.00026808918,0.00026527658,0.0015313837,0.0003857397,0.0004617764,0.000529321,0.00021802951,0.00032608712],"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":[0.0003920618,0.000018665518,0.9532902,0.00005130886,0.000117274234,0.00007794757,0.0005024099,0.0006686665,0.027747303,0.00006543805,0.00046378965,0.01660498],"study_design_scores_gemma":[0.0000029120254,0.000013954162,0.9969278,0.000004967606,0.000032994947,0.000032733715,0.00014801546,0.0003681865,0.0018713324,0.000010831102,0.0005830656,0.000003299688],"about_ca_topic_score_codex":0.12688446,"about_ca_topic_score_gemma":0.29454336,"teacher_disagreement_score":0.87311554,"about_ca_system_score_codex":0.00083182537,"about_ca_system_score_gemma":0.00046387443,"threshold_uncertainty_score":0.2522918},"labels":[],"label_agreement":null},{"id":"W3080263908","doi":"","title":"Spatial analysis of drumlins within the Arran, Guelph, and Galt drumlin fields of southern Ontario, Canada","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Drumlin; Geography; Cartography; Meteorology","score_opus":0.017370114902845343,"score_gpt":0.201577936656948,"score_spread":0.18420782175410266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3080263908","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914744,0.00038206822,0.00026010623,0.00013258713,0.0000069937673,0.000044377088,0.0029185296,0.00001861861,0.004762393],"genre_scores_gemma":[0.9926029,0.0002751695,0.0007514344,0.00002650182,0.000003198912,0.000027550494,0.0016819291,0.000011397292,0.0046198675],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994759,0.00003827925,0.000024606286,0.000111849746,0.00017046968,0.00017882865],"domain_scores_gemma":[0.99829835,0.000105086525,0.00017619137,0.00004481426,0.0011650976,0.0002104391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003415686,0.0002600959,0.00036397766,0.0027839309,0.002493757,0.0011562929,0.0009651543,0.00027763177,0.0024069473],"category_scores_gemma":[0.001427067,0.00031823458,0.0003217597,0.005440186,0.0009169063,0.000296574,0.0009996969,0.0002508943,0.00033885488],"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":[0.00018672725,0.000029172725,0.96597743,0.00012429325,0.00008698891,0.00027859717,0.009089782,0.000991927,0.0027632974,0.00078240316,0.0034762018,0.016213123],"study_design_scores_gemma":[0.0000036919103,0.000007463143,0.9920557,0.00002695276,0.000011002013,0.000027492091,0.004917194,0.00035806542,0.00009668222,0.000023170893,0.0024654234,0.0000070661035],"about_ca_topic_score_codex":0.99560106,"about_ca_topic_score_gemma":0.9990938,"teacher_disagreement_score":0.017874252,"about_ca_system_score_codex":0.017874252,"about_ca_system_score_gemma":0.018959647,"threshold_uncertainty_score":0.12968743},"labels":[],"label_agreement":null},{"id":"W3081113711","doi":"","title":"Dynamics of pedogenic carbonates and their relation to slope aspects in the Rumsey area (Alberta, Canada)","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pedogenesis; Geology; Relation (database); Physical geography; Geography; Soil science; Soil water; Computer science","score_opus":0.015904360650068304,"score_gpt":0.21555266877438956,"score_spread":0.19964830812432124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081113711","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99530596,0.00048631488,0.000061668004,0.000097255084,0.000004220654,0.000013868004,0.0017905282,0.000008995393,0.00223109],"genre_scores_gemma":[0.99567896,0.0004855997,0.00023860775,0.000031771524,0.0000021397616,0.000007551128,0.0008604096,0.000004046579,0.0026909413],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998215,0.000013032923,0.000009423167,0.000033653803,0.00005538366,0.000066998065],"domain_scores_gemma":[0.99943095,0.000028867586,0.000070116235,0.000010903749,0.00034311527,0.000115902934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020427832,0.00021614842,0.00020649235,0.0015445256,0.0018368529,0.0012066162,0.00077947456,0.00029597405,0.0018550748],"category_scores_gemma":[0.0005758752,0.00021604847,0.00017892779,0.0035350667,0.0007335627,0.00027749603,0.0006641621,0.00027708625,0.00023228982],"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":[0.00032987204,0.000049414648,0.9759286,0.00008327958,0.00006486773,0.00033293787,0.003002696,0.0005849428,0.0021760762,0.0003099714,0.0012874764,0.015849859],"study_design_scores_gemma":[0.0000029360224,0.0000065750896,0.99747986,0.000010058855,0.0000062310914,0.00003388175,0.0015517258,0.00015050179,0.000071785835,0.0000137866655,0.000668863,0.0000037682992],"about_ca_topic_score_codex":0.9937336,"about_ca_topic_score_gemma":0.9981006,"teacher_disagreement_score":0.012118663,"about_ca_system_score_codex":0.012118663,"about_ca_system_score_gemma":0.0107045695,"threshold_uncertainty_score":0.08792752},"labels":[],"label_agreement":null},{"id":"W3081383836","doi":"","title":"Turnover in a Canadian Shield lake","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Shield; Geology","score_opus":0.014692430510319798,"score_gpt":0.23200625315286494,"score_spread":0.21731382264254515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081383836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99735403,0.00007474945,0.000035925186,0.00012880207,0.0000032477233,0.000012219525,0.00056823227,0.000007026465,0.0018159032],"genre_scores_gemma":[0.99669635,0.000054946708,0.00013045095,0.00006746427,0.0000030029553,0.000010864875,0.0004600175,0.0000055611026,0.0025712596],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995029,0.00002880858,0.000014715499,0.000096911994,0.00014125618,0.0002152298],"domain_scores_gemma":[0.9990213,0.000032316017,0.00010286605,0.000019029321,0.0004756008,0.00034880522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036410676,0.00021215262,0.00043984587,0.0018127925,0.0054692873,0.0013304929,0.0011289229,0.0007703445,0.0030634021],"category_scores_gemma":[0.0009282951,0.0003336536,0.00032118906,0.0025229705,0.0009626788,0.0004949164,0.0014137856,0.00042260234,0.00042293323],"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":[0.00031563194,0.000080419966,0.97816944,0.000047192225,0.00006506896,0.00030495826,0.0063094646,0.00030631624,0.0020091096,0.00038947607,0.0025627168,0.009440147],"study_design_scores_gemma":[0.0000043274795,0.000009730314,0.9965088,0.000006311367,0.0000067351657,0.000026261678,0.0017782052,0.00039970162,0.000045791396,0.000023522525,0.0011824368,0.000008157778],"about_ca_topic_score_codex":0.98600197,"about_ca_topic_score_gemma":0.9963091,"teacher_disagreement_score":0.024184551,"about_ca_system_score_codex":0.024184551,"about_ca_system_score_gemma":0.015974285,"threshold_uncertainty_score":0.17547202},"labels":[],"label_agreement":null},{"id":"W3081668471","doi":"","title":"The 2016 Canada-Sweden Polar Expedition: Initial results of seismic reflection and refraction experiments over the Lomonosov Ridge and Marvin Spur","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Ridge; Reflection (computer programming); Refraction; Spur; Seismology; Polar; Paleontology; Optics; Physics; Computer science; Astronomy","score_opus":0.02835606229500464,"score_gpt":0.288246272224917,"score_spread":0.25989020992991235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081668471","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993601,0.000056240424,0.00018687776,0.00016869609,0.000025248934,0.00004140783,0.0003919624,0.000017215814,0.005511352],"genre_scores_gemma":[0.995031,0.00013210495,0.00043969168,0.0000697069,0.000010539224,0.000022450871,0.0005846211,0.000017482254,0.0036924072],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997161,0.000020134115,0.000006699755,0.000035847752,0.00011675508,0.0001043961],"domain_scores_gemma":[0.9998109,0.000017545573,0.000016339902,0.000010813062,0.00008813854,0.00005633705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004936391,0.0004738853,0.00041096567,0.00038415124,0.003093935,0.001003816,0.0005166299,0.0009205232,0.0009592761],"category_scores_gemma":[0.0005911875,0.00027851568,0.00021543447,0.0007747665,0.0011139739,0.00038321633,0.0009007637,0.0008286451,0.0003091213],"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":[0.014027851,0.0021133262,0.45713943,0.00051037746,0.00039775233,0.005019844,0.01345514,0.017508535,0.40641713,0.0024013147,0.009982904,0.0710264],"study_design_scores_gemma":[0.00037441912,0.0014110332,0.93902,0.0000619507,0.00014702861,0.0001803495,0.009723227,0.0039365888,0.030378457,0.00033490467,0.014367756,0.000064421845],"about_ca_topic_score_codex":0.68830425,"about_ca_topic_score_gemma":0.8759757,"teacher_disagreement_score":0.68830425,"about_ca_system_score_codex":0.003077966,"about_ca_system_score_gemma":0.007603091,"threshold_uncertainty_score":0.6270628},"labels":[],"label_agreement":null},{"id":"W3082111506","doi":"","title":"Bulk Organic Geochemistry, Geochronology, and Paleoenvironments of the Late Cretaceous Maar Lake Sedimentary Fill of the Wombat Kimberlite Pipe, Subarctic Canada","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Geochronology; Cretaceous; Kimberlite; Geochemistry; Maar; Subarctic climate; Sedimentary rock; Paleontology; Oceanography; Volcano; Mantle (geology)","score_opus":0.004719789621935072,"score_gpt":0.16919454146972646,"score_spread":0.1644747518477914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082111506","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99782854,0.0002661449,0.000043417804,0.000021653106,0.0000016249186,0.000002897587,0.00087659043,0.000008339199,0.0009507444],"genre_scores_gemma":[0.99774915,0.00019732476,0.000088323184,0.000012982674,0.0000013701122,0.0000030937174,0.00064947555,0.0000099920535,0.0012882834],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999249,0.0000033843567,0.0000056369568,0.000020552518,0.000019988693,0.000025577412],"domain_scores_gemma":[0.99982554,0.00001118806,0.000031570697,0.0000059575664,0.00009943443,0.000026339061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001256877,0.0002214508,0.0001714999,0.0024993108,0.001189744,0.0006784484,0.00031238789,0.00016188966,0.001444863],"category_scores_gemma":[0.00029930114,0.00025229182,0.0001326629,0.002019701,0.0004683611,0.0002864264,0.00031488948,0.00015475687,0.00029568776],"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":[0.0002531065,0.000038217848,0.95627546,0.00007777896,0.0000937933,0.00030367015,0.0028443444,0.0006946805,0.020260384,0.00021392164,0.00059082615,0.018353797],"study_design_scores_gemma":[0.000001193797,0.0000029923683,0.99915254,0.0000035181733,0.000005872433,0.000021210544,0.00019774388,0.000058472215,0.00020806753,0.00000476954,0.00034247705,0.0000012487093],"about_ca_topic_score_codex":0.9049597,"about_ca_topic_score_gemma":0.962678,"teacher_disagreement_score":0.09504032,"about_ca_system_score_codex":0.004719303,"about_ca_system_score_gemma":0.0024377692,"threshold_uncertainty_score":0.19120002},"labels":[],"label_agreement":null},{"id":"W3082232196","doi":"","title":"Sedimentology and geochemistry of Earth's oldest carbonate platform (2.94 Ga Red Lake Greenstone Belt, Ontario, Canada)","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Paleontology and Stratigraphy of Fossils","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sedimentology; Greenstone belt; Geology; Geochemistry; Carbonate; Archean; Earth (classical element)","score_opus":0.013335076535876499,"score_gpt":0.19795413345118446,"score_spread":0.18461905691530794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082232196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87859714,0.0031199495,0.0009703786,0.00069229695,0.00006771372,0.00016245538,0.077284545,0.00019444659,0.03891102],"genre_scores_gemma":[0.9510141,0.0012912222,0.001973568,0.00015225213,0.000015272133,0.000043638196,0.014786644,0.00006563407,0.030657634],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975437,0.000006011054,0.000013642694,0.00004234986,0.00011533599,0.00006834018],"domain_scores_gemma":[0.9991806,0.00001251912,0.00010394669,0.000016553346,0.000582891,0.00010342429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022878854,0.0003495987,0.0002645759,0.0033104224,0.0029238572,0.0008440462,0.00078573223,0.00025444297,0.0040322943],"category_scores_gemma":[0.00056393514,0.00030897307,0.00026942135,0.0047692684,0.0004020824,0.00032715732,0.00059921824,0.00025471847,0.000991035],"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":[0.00021172436,0.000044151748,0.9162523,0.0003205078,0.00010972064,0.0004906868,0.0028676097,0.0008335286,0.006193556,0.0007092781,0.027972896,0.043993946],"study_design_scores_gemma":[0.0000034513391,0.0000041696976,0.9920076,0.000017609258,0.0000075543367,0.00003255784,0.0002755279,0.00008796539,0.00018455586,0.000013948003,0.007360698,0.00000432211],"about_ca_topic_score_codex":0.9956429,"about_ca_topic_score_gemma":0.9989542,"teacher_disagreement_score":0.014230181,"about_ca_system_score_codex":0.014230181,"about_ca_system_score_gemma":0.016457444,"threshold_uncertainty_score":0.1032477},"labels":[],"label_agreement":null},{"id":"W3083174610","doi":"","title":"Use of a mobile terrestrial laser system to quantify the impact of rigid coastal protective structures on sandy beaches, Quebec, Canada","year":2012,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Remote sensing; Geography; Environmental science; Physical geography; Environmental resource management; Oceanography; Geology","score_opus":0.0327446327179577,"score_gpt":0.2733351655040537,"score_spread":0.240590532786096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083174610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932562,0.00006580611,0.0008830681,0.00005070511,0.000005291909,0.000037088343,0.00086707517,0.00006371678,0.0047710654],"genre_scores_gemma":[0.99452436,0.00006955556,0.0021419337,0.000027873837,0.0000013073046,0.000019897501,0.0004037915,0.000011121176,0.0028002076],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99985206,0.000009275685,0.0000030956644,0.000025561334,0.00008063387,0.00002932405],"domain_scores_gemma":[0.9996345,0.000027118293,0.000023166587,0.000009497453,0.0002711466,0.00003466065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017406401,0.00027842275,0.00018376495,0.0007233839,0.0014450103,0.00067976874,0.00043845977,0.00028394265,0.0016757454],"category_scores_gemma":[0.00037817328,0.00015301895,0.0001389274,0.0011395388,0.00027197876,0.0002205355,0.00025695743,0.0002600954,0.00027307574],"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":[0.00074244814,0.00042920152,0.7103323,0.00018402118,0.00018251826,0.00070360344,0.002009081,0.03052385,0.11411065,0.00053287816,0.0054778853,0.1347716],"study_design_scores_gemma":[0.000042435862,0.00014528609,0.9652857,0.0000225211,0.000040642884,0.00005465448,0.0015332726,0.026457744,0.0042452235,0.000041005977,0.0020973065,0.00003415138],"about_ca_topic_score_codex":0.9707837,"about_ca_topic_score_gemma":0.9922881,"teacher_disagreement_score":0.02921629,"about_ca_system_score_codex":0.0052269767,"about_ca_system_score_gemma":0.005562756,"threshold_uncertainty_score":0.058776617},"labels":[],"label_agreement":null},{"id":"W3083292755","doi":"","title":"A new glacier inventory on southern Baffin Island, Canada, from ASTER data: I. Methods, challenges and solutions","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Glacier; Physical geography; Advanced Spaceborne Thermal Emission and Reflection Radiometer; Geology; Geography; Oceanography; Climatology; Remote sensing; Digital elevation model","score_opus":0.1076888362964497,"score_gpt":0.2765041042545865,"score_spread":0.16881526795813678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083292755","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60235375,0.01605516,0.042697184,0.012815004,0.0005708844,0.0012984788,0.2912564,0.0013247882,0.03162828],"genre_scores_gemma":[0.67677027,0.010902406,0.108227946,0.0016952041,0.00019106927,0.00062357064,0.18578273,0.00042036222,0.015386466],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99886525,0.0000763356,0.00008588849,0.00024359021,0.00052479183,0.00020422194],"domain_scores_gemma":[0.99461466,0.0003713492,0.00029014147,0.00031694505,0.004012622,0.0003942689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019273271,0.0009859195,0.00095026445,0.004878521,0.0024811858,0.0033290456,0.002491008,0.00081942516,0.002577635],"category_scores_gemma":[0.004793538,0.0006263204,0.0006042102,0.009189252,0.00088077155,0.0018185084,0.0018964534,0.0015002219,0.00058506493],"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":[0.0003163051,0.00027923068,0.5085848,0.0021377213,0.00087708776,0.000609132,0.0032292053,0.019575145,0.006508261,0.0072049503,0.08139947,0.3692787],"study_design_scores_gemma":[0.00014388004,0.000044520133,0.81639606,0.001459459,0.000470932,0.00025185212,0.006586292,0.03177023,0.0024220303,0.004092713,0.13614964,0.0002124115],"about_ca_topic_score_codex":0.9928974,"about_ca_topic_score_gemma":0.9968172,"teacher_disagreement_score":0.023775054,"about_ca_system_score_codex":0.023775054,"about_ca_system_score_gemma":0.059423827,"threshold_uncertainty_score":0.17250091},"labels":[],"label_agreement":null},{"id":"W3084349934","doi":"","title":"The influence of topographic setting and weather type on the correlation between elevation and daily temperature measures in mountainous terrain in the Canadian Rocky Mountains","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Elevation (ballistics); Terrain; Climatology; Air temperature; Physical geography; Geology; Geography; Cartography","score_opus":0.020805398828138106,"score_gpt":0.22287864931650195,"score_spread":0.20207325048836383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3084349934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99874276,0.0001309656,0.000039383613,0.00006566187,0.0000028144657,0.0000030423332,0.00028010932,0.0000031523227,0.0007321472],"genre_scores_gemma":[0.9995316,0.00004960068,0.00005172634,0.000011657095,0.000001897311,0.0000017037223,0.00016941615,0.0000022924166,0.00017998223],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99944,0.00009940482,0.000028093607,0.000088467634,0.000120813835,0.00022312312],"domain_scores_gemma":[0.9982009,0.00042451755,0.00030419242,0.00010126967,0.0006490756,0.00031999924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053512777,0.00017837997,0.00026320847,0.00084450317,0.0015982898,0.0011374626,0.0009351933,0.0003374847,0.0012959748],"category_scores_gemma":[0.0026653304,0.00027339437,0.0003346472,0.0020026222,0.00145176,0.00027590105,0.00058875466,0.00041212302,0.000115156625],"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":[0.00008024115,0.000009125033,0.9959336,0.000008994758,0.00005796251,0.000060214767,0.00059039495,0.00027006186,0.00058615254,0.00009009667,0.00018699128,0.002126159],"study_design_scores_gemma":[8.288483e-7,0.0000020267266,0.9996057,0.0000020845748,0.000004884181,0.000011130405,0.00023906336,0.000059478127,0.000011184096,0.0000067172223,0.000054989607,0.000002018567],"about_ca_topic_score_codex":0.97470427,"about_ca_topic_score_gemma":0.99165523,"teacher_disagreement_score":0.025295734,"about_ca_system_score_codex":0.0051337215,"about_ca_system_score_gemma":0.0077254283,"threshold_uncertainty_score":0.050889373},"labels":[],"label_agreement":null},{"id":"W3084380545","doi":"","title":"Differences and Sensitivities in Potential Hydrologic Impact of Climate Change to Regional-Scale Athabasca and Fraser River Basins of the Leeward and Windward Sides of the Canadian Rocky Mountains Respectively","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Climate change; Scale (ratio); Physical geography; Hydrology (agriculture); Geography; Climatology; Environmental science; Geology; Oceanography; Cartography","score_opus":0.03168472422683541,"score_gpt":0.24235700593603962,"score_spread":0.2106722817092042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3084380545","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964535,0.00009225834,0.000050427534,0.00012518579,0.0000033293504,0.0000063099824,0.0011121208,0.000007776941,0.0021491004],"genre_scores_gemma":[0.99899083,0.00004818302,0.000037560883,0.000015443382,0.0000016143977,0.0000025970103,0.0004369335,0.0000019516076,0.00046489155],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998053,0.000026107355,0.0000115171115,0.00004236478,0.00003999855,0.00007469984],"domain_scores_gemma":[0.9991529,0.00016215375,0.00012879637,0.000049193877,0.00033819408,0.00016880372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003896462,0.00018022294,0.00016651314,0.0007081993,0.0005466802,0.00054255355,0.00040586386,0.0002516818,0.0020457571],"category_scores_gemma":[0.0014861313,0.00019125451,0.0003925719,0.0008695845,0.0004990517,0.00034920016,0.00051802123,0.00031883497,0.0001660388],"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":[0.0002623539,0.000029328534,0.9849126,0.00002603434,0.00021585624,0.00012242234,0.00083659886,0.003273832,0.0030800859,0.00069535995,0.0010936089,0.005452059],"study_design_scores_gemma":[0.0000015584334,0.0000025652646,0.999236,0.0000016162884,0.000008939372,0.0000105841455,0.00022047927,0.0002888576,0.00005931958,0.000027908176,0.00013889337,0.000003319351],"about_ca_topic_score_codex":0.8440755,"about_ca_topic_score_gemma":0.9304788,"teacher_disagreement_score":0.1559245,"about_ca_system_score_codex":0.0029126657,"about_ca_system_score_gemma":0.0017326897,"threshold_uncertainty_score":0.31368548},"labels":[],"label_agreement":null},{"id":"W3085675812","doi":"","title":"First field test of the theory of ignition and dissipation in sediment density currents - results from Squamish prodelta, British Columbia, Canada.","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Sediment; Dissipation; Field (mathematics); Oceanography; Geomorphology; Physics; Mathematics","score_opus":0.015964266086377528,"score_gpt":0.19646287009059216,"score_spread":0.18049860400421464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3085675812","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895271,0.00013949988,0.001525857,0.00023360833,0.000008315564,0.00008125596,0.0010784349,0.00006682397,0.007339216],"genre_scores_gemma":[0.9971726,0.000060406222,0.0006881815,0.0000351326,0.0000016497935,0.000018988872,0.00041347474,0.000013453189,0.0015959467],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998565,0.000021738908,0.000006500232,0.00004031425,0.000030331328,0.000044590884],"domain_scores_gemma":[0.99912137,0.0001939381,0.00004607163,0.000061330524,0.00046944682,0.000107938075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044469628,0.00041847644,0.0003096543,0.0005379251,0.0017957491,0.00065198087,0.001196567,0.00045500023,0.0035935787],"category_scores_gemma":[0.002050693,0.00022936014,0.00035943702,0.0007588432,0.0010898114,0.00054277416,0.00056116417,0.0006913916,0.0004052225],"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":[0.0019615546,0.0009258238,0.80640787,0.00033642584,0.00040273715,0.00074251054,0.0016711793,0.07492709,0.028703423,0.009230938,0.0077475114,0.066942945],"study_design_scores_gemma":[0.00019415669,0.00019848158,0.9232498,0.00002987068,0.00010220241,0.00011206854,0.0018244926,0.066544645,0.003216472,0.0026556773,0.0018197644,0.000052517255],"about_ca_topic_score_codex":0.9774728,"about_ca_topic_score_gemma":0.97502196,"teacher_disagreement_score":0.022527218,"about_ca_system_score_codex":0.010798387,"about_ca_system_score_gemma":0.007577696,"threshold_uncertainty_score":0.0783481},"labels":[],"label_agreement":null},{"id":"W3085906070","doi":"","title":"Possible Impact of climate change on future extreme precipitation of the Oldman, Bow and Red Deer River Basins of Alberta","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Climate change; Precipitation; Climatology; Geography; Environmental science; Physical geography; Meteorology; Geology; Oceanography","score_opus":0.05749345768107042,"score_gpt":0.2627105298119644,"score_spread":0.205217072130894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3085906070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960259,0.00023539003,0.000098723554,0.0006459447,0.000013742696,0.0000032922853,0.00045495736,0.000007909216,0.0025140748],"genre_scores_gemma":[0.99864596,0.00018204452,0.00008377805,0.000052633262,0.000005158348,0.0000021073913,0.00025758322,0.0000021896067,0.0007686444],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998572,0.000023124549,0.0000075656167,0.0000196138,0.000026606602,0.00006597763],"domain_scores_gemma":[0.999616,0.000069148315,0.000051292318,0.0000128177235,0.00016676566,0.0000840439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038638242,0.00014183985,0.00017966359,0.00069792435,0.0011459417,0.0014967674,0.0006783547,0.00047384144,0.0018450245],"category_scores_gemma":[0.001148361,0.00019810995,0.00031879792,0.0009592655,0.00073026255,0.00044447865,0.00087617204,0.0003521058,0.00008226322],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033281534,0.000057356825,0.97202456,0.00005080428,0.00013953302,0.00061878853,0.0010170348,0.010084068,0.0016331642,0.0027388383,0.0015362846,0.009766695],"study_design_scores_gemma":[0.000017828808,0.000013994272,0.98997355,0.000021649366,0.000036379304,0.00006573666,0.0019156447,0.004873598,0.00023552407,0.0005778298,0.0022535461,0.000014692946],"about_ca_topic_score_codex":0.89230657,"about_ca_topic_score_gemma":0.953606,"teacher_disagreement_score":0.107693434,"about_ca_system_score_codex":0.006828934,"about_ca_system_score_gemma":0.0058802655,"threshold_uncertainty_score":0.21665525},"labels":[],"label_agreement":null},{"id":"W3086096206","doi":"","title":"An overview of the Ice Nuclei Research Unit Jungfraujoch/Cloud and Aerosol Characterization Experiment 2013 (INUIT-JFJ/CLACE-2013)","year":2014,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Scientific Research and Discoveries","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Aerosol; Cloud computing; Meteorology; Environmental science; Climatology; Atmospheric sciences; Geology; Geography; Computer science","score_opus":0.10580921192856123,"score_gpt":0.36841475869662904,"score_spread":0.2626055467680678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3086096206","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05875176,0.032951534,0.10722359,0.0066494877,0.0017663906,0.009794975,0.65892,0.014072462,0.1098698],"genre_scores_gemma":[0.06667198,0.01727507,0.29401806,0.0030148881,0.0010833746,0.004891493,0.5756392,0.0032769912,0.034128934],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99801505,0.0003587285,0.00010670367,0.00045253866,0.0007676118,0.0002993652],"domain_scores_gemma":[0.9978138,0.00017232192,0.00019843457,0.00034017136,0.0010971738,0.00037808387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007911871,0.001643469,0.0008825029,0.0041976413,0.0016028457,0.0027495841,0.0020895288,0.0010514224,0.007246994],"category_scores_gemma":[0.0021579189,0.00088208803,0.0011402604,0.003821736,0.000358162,0.0015515331,0.002892315,0.0009998222,0.0075224484],"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":[0.0025203319,0.001809956,0.08458371,0.0039084014,0.00067758973,0.00036059433,0.00033976068,0.0076278546,0.0642193,0.009013003,0.44906732,0.37587216],"study_design_scores_gemma":[0.00030183754,0.00087916583,0.093376145,0.00049423985,0.00027403908,0.00034517032,0.0001648748,0.0039952747,0.026277957,0.0033947625,0.8702623,0.00023418732],"about_ca_topic_score_codex":0.08208997,"about_ca_topic_score_gemma":0.14356285,"teacher_disagreement_score":0.08208997,"about_ca_system_score_codex":0.0034975638,"about_ca_system_score_gemma":0.007615968,"threshold_uncertainty_score":0.16322428},"labels":[],"label_agreement":null},{"id":"W3086506201","doi":"","title":"Collision of elements of peri-Gondwanan Ganderia with the composite Laurentian margin: detrital zircon U/Pb and Hf isotope evidence from Newfoundland","year":2013,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Zircon; Geology; Geochemistry; Margin (machine learning); Isotope; Geochronology; Paleontology; Earth science","score_opus":0.017671451416899096,"score_gpt":0.20826632554533295,"score_spread":0.19059487412843384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3086506201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972555,0.000095814416,0.000047437006,0.000047059944,0.0000020767286,0.0000023188272,0.00017504796,0.0000036869549,0.0023712034],"genre_scores_gemma":[0.9987311,0.000064223794,0.00009843597,0.000039788265,0.0000017749762,0.0000021522937,0.00019291254,0.0000058302944,0.00086380914],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999814,0.00001022805,0.000010882854,0.000056545425,0.000031192973,0.00007725844],"domain_scores_gemma":[0.9996989,0.00003137623,0.00009191633,0.00002800874,0.0000950909,0.000054756296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002352255,0.00022464542,0.00032650083,0.0009612495,0.0019174771,0.0014229382,0.00068469805,0.00039574943,0.002279748],"category_scores_gemma":[0.0005302853,0.00028452472,0.000167588,0.0009239259,0.0010629598,0.00060455035,0.0010353393,0.00037985356,0.00036356965],"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":[0.00034065562,0.000020927693,0.96700615,0.000033450113,0.00007591145,0.00071445387,0.0020720495,0.00039364037,0.020512806,0.00036357797,0.00037619536,0.008090112],"study_design_scores_gemma":[0.000004129656,0.000012830691,0.99731004,0.00000970241,0.000014868187,0.00010454848,0.0008487767,0.00008755928,0.0005008659,0.000015180576,0.0010879126,0.000003611712],"about_ca_topic_score_codex":0.7577498,"about_ca_topic_score_gemma":0.8960412,"teacher_disagreement_score":0.2422502,"about_ca_system_score_codex":0.004813125,"about_ca_system_score_gemma":0.0025570747,"threshold_uncertainty_score":0.48735368},"labels":[],"label_agreement":null},{"id":"W3086739108","doi":"","title":"Canadian Operational Air Quality Forecasting Systems: Status, Recent Progress, and Challenges","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Air quality index; Risk analysis (engineering); Computer science; Business; Meteorology; Geography","score_opus":0.14580305610500524,"score_gpt":0.3145842220987172,"score_spread":0.16878116599371198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3086739108","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13661698,0.25772047,0.06060916,0.33708227,0.009035741,0.000970179,0.051521886,0.01015477,0.13628858],"genre_scores_gemma":[0.6138451,0.18917511,0.0964035,0.009333429,0.0036411437,0.00033564074,0.0512696,0.0007737961,0.03522267],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99588686,0.00055099645,0.00022336232,0.00050603715,0.0022285222,0.00060430774],"domain_scores_gemma":[0.9721094,0.002596027,0.0008745809,0.00058928656,0.022115828,0.001714903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014030303,0.0019652094,0.0012608567,0.0032696102,0.0029024114,0.0074044825,0.005349661,0.0012162988,0.0055714226],"category_scores_gemma":[0.020479303,0.00041950532,0.00080148305,0.010046999,0.0013187402,0.003993291,0.0019957875,0.0022646582,0.0012977566],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024382136,0.0001605209,0.047325555,0.0014975392,0.00021738473,0.000025444715,0.0006395206,0.012778595,0.00071861374,0.0084258355,0.24920705,0.6787602],"study_design_scores_gemma":[0.00013956314,0.00017559595,0.11907471,0.0024758703,0.0004297925,0.00006541773,0.0036003452,0.111979306,0.0018975545,0.007825573,0.7520192,0.00031704424],"about_ca_topic_score_codex":0.9814952,"about_ca_topic_score_gemma":0.98188204,"teacher_disagreement_score":0.97210085,"about_ca_system_score_codex":0.027899152,"about_ca_system_score_gemma":0.100617096,"threshold_uncertainty_score":0.20242345},"labels":[],"label_agreement":null},{"id":"W3086909557","doi":"","title":"Holocene earthquake-triggered turbidites from the Saguenay (Eastern Canada) and Reloncavi (Chilean margin) fjords","year":2013,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Holocene; Fjord; Geology; Turbidite; Oceanography; Margin (machine learning); Physical geography; Geomorphology; Sediment; Geography","score_opus":0.017730522509621115,"score_gpt":0.19534418054787497,"score_spread":0.17761365803825385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3086909557","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99584866,0.00010213951,0.000022874476,0.000066753804,0.0000062007452,0.0000067632172,0.0018603675,0.000006214231,0.002079976],"genre_scores_gemma":[0.9943357,0.00015311064,0.00007835384,0.000040004423,0.0000042166484,0.000008911087,0.002129666,0.000008203471,0.0032416163],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998821,0.0000042284296,0.000008262662,0.000019616571,0.000023866025,0.00006197688],"domain_scores_gemma":[0.99961627,0.000023356679,0.000060770562,0.000011944633,0.00019631145,0.00009133118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013706484,0.00023880978,0.0002456026,0.0011138816,0.0017865518,0.0009785696,0.0005059842,0.0004321548,0.00320103],"category_scores_gemma":[0.00046896667,0.00020742751,0.00019233824,0.0020261933,0.00053827383,0.00030713106,0.0009520707,0.00039408897,0.00041626132],"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":[0.00026319426,0.00004275388,0.9783085,0.000064100306,0.00006158849,0.0007434263,0.004314517,0.0005929367,0.0034412784,0.0001867281,0.0018073877,0.010173579],"study_design_scores_gemma":[0.0000031229958,0.0000028483134,0.99732864,0.000008058527,0.000005417674,0.000026445961,0.0017467382,0.00007120336,0.00007296742,0.0000078620915,0.00072317786,0.0000034145453],"about_ca_topic_score_codex":0.92950934,"about_ca_topic_score_gemma":0.97772354,"teacher_disagreement_score":0.07049066,"about_ca_system_score_codex":0.005065323,"about_ca_system_score_gemma":0.004708292,"threshold_uncertainty_score":0.14181155},"labels":[],"label_agreement":null},{"id":"W3086920208","doi":"","title":"Within Canopy Evapotranspiration Processes and Controls within a Western Boreal Plain Aspen Forest, Alberta, Canada","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Evapotranspiration; Canopy; Taiga; Environmental science; Boreal; Tree canopy; Forestry; Hydrology (agriculture); Geography; Geology; Ecology","score_opus":0.009764512903126797,"score_gpt":0.20814974116091906,"score_spread":0.19838522825779226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3086920208","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969405,0.0002670277,0.00019063472,0.00006865129,0.0000038126057,0.000011816224,0.00038086207,0.0000151267495,0.0021216047],"genre_scores_gemma":[0.99558485,0.00018597169,0.0003814654,0.000027887623,0.0000017679457,0.000005975382,0.00041845284,0.000009557225,0.0033840614],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998054,0.000014106177,0.0000065067034,0.000049782997,0.000048592592,0.00007555142],"domain_scores_gemma":[0.99962735,0.000030675834,0.000037485555,0.0000091144375,0.00020326745,0.00009202728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024305945,0.00025166693,0.00035195463,0.00059792266,0.0024568897,0.0014097099,0.00063379225,0.00023286771,0.0013400269],"category_scores_gemma":[0.00033119557,0.00021554931,0.0001885981,0.0010135996,0.00077664666,0.00040794158,0.00043017208,0.0003142971,0.00017572446],"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":[0.0027667268,0.00046541393,0.86994535,0.00014166693,0.00022879732,0.00086937007,0.0065599713,0.012823619,0.043066088,0.0033078964,0.005388904,0.054436173],"study_design_scores_gemma":[0.000010260948,0.000012401689,0.99487877,0.0000073225465,0.000013195488,0.00003454942,0.0013071611,0.0019399737,0.0002931683,0.00013207732,0.0013602412,0.000010863446],"about_ca_topic_score_codex":0.9884089,"about_ca_topic_score_gemma":0.99658465,"teacher_disagreement_score":0.0158541,"about_ca_system_score_codex":0.0158541,"about_ca_system_score_gemma":0.00901362,"threshold_uncertainty_score":0.11503005},"labels":[],"label_agreement":null},{"id":"W3086952260","doi":"","title":"Multiple climatic signals inferred from the varved sediments of a coastal lake in the Canadian High Arctic","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Varve; Arctic; Geology; Oceanography; Physical geography; Climatology; Sediment; Geography; Paleontology","score_opus":0.04721876436904805,"score_gpt":0.22498561587474616,"score_spread":0.1777668515056981,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3086952260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979699,0.00016622846,0.00007783062,0.00009577431,0.000006759646,0.000004091699,0.00044594248,0.000009813443,0.0012236042],"genre_scores_gemma":[0.9993192,0.00008499644,0.00012050042,0.000023872522,0.0000029237833,0.0000018343882,0.0002568034,0.0000060901903,0.00018384303],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997042,0.000017545208,0.000023236798,0.000061442195,0.00007322401,0.00012038497],"domain_scores_gemma":[0.9992182,0.00005723647,0.000114261726,0.000023433506,0.00045046382,0.00013634448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004063722,0.00038953067,0.0005172067,0.0024825507,0.0041920203,0.0020706374,0.0008517985,0.0006346666,0.00089218706],"category_scores_gemma":[0.0012105296,0.00043066547,0.00034519905,0.0048404755,0.0012588996,0.000508298,0.001289599,0.00051224325,0.000115992654],"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":[0.00049811124,0.000061338615,0.9543556,0.0001222172,0.00031211847,0.00074098905,0.0038882352,0.0028708586,0.021605615,0.0004697762,0.00096711,0.0141080655],"study_design_scores_gemma":[0.0000075618245,0.0000055210276,0.99715877,0.000013127561,0.000038880546,0.000037062913,0.0011265136,0.0006486352,0.00024908516,0.00003487557,0.0006656396,0.000014240418],"about_ca_topic_score_codex":0.9731664,"about_ca_topic_score_gemma":0.99157226,"teacher_disagreement_score":0.026833594,"about_ca_system_score_codex":0.009380113,"about_ca_system_score_gemma":0.011762269,"threshold_uncertainty_score":0.068057835},"labels":[],"label_agreement":null},{"id":"W3087663561","doi":"","title":"Temporal and spatial correlations between Canada basin opening and the Brookian orogeny","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Orogeny; Geology; Structural basin; Geography; Physical geography; Geomorphology","score_opus":0.027287217581662464,"score_gpt":0.22602006080699485,"score_spread":0.19873284322533238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087663561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926388,0.00031426898,0.0001195947,0.0003347013,0.000013075835,0.0000059916138,0.002300298,0.0000117593045,0.004261463],"genre_scores_gemma":[0.9973247,0.00021613121,0.00006012947,0.000026054877,0.000008179086,0.0000030847784,0.0010951419,0.000005293314,0.0012611956],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996749,0.000023948667,0.000014690266,0.00006997848,0.000066109,0.0001503655],"domain_scores_gemma":[0.99698013,0.000627008,0.0006196742,0.00011596978,0.0011309568,0.00052623625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000584253,0.00014649805,0.0002817191,0.0013994183,0.0010378071,0.0018286487,0.00048732583,0.00047210004,0.005168908],"category_scores_gemma":[0.003658892,0.00021601243,0.00033959548,0.0023655263,0.0010885757,0.00052506034,0.0010250161,0.00064801093,0.0002628902],"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":[0.00019337398,0.000015279942,0.99158114,0.000014138026,0.00010760409,0.00008554519,0.00051424047,0.0017512955,0.00057000224,0.0007899634,0.001511785,0.0028657424],"study_design_scores_gemma":[0.0000029717505,0.000004417001,0.99732286,0.0000085908405,0.000019107676,0.000014052604,0.0005053764,0.00084233214,0.000065535954,0.000048946775,0.0011582123,0.000007618099],"about_ca_topic_score_codex":0.9680407,"about_ca_topic_score_gemma":0.9879441,"teacher_disagreement_score":0.031959295,"about_ca_system_score_codex":0.008494572,"about_ca_system_score_gemma":0.0108944625,"threshold_uncertainty_score":0.064294994},"labels":[],"label_agreement":null},{"id":"W3087801602","doi":"","title":"Late-Wisconsinan submarine moraines along the north shore of the Estuary and Gulf of St. Lawrence (Eastern Canada)","year":2013,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Estuary; Shore; Geology; Moraine; Oceanography; Submarine; Archaeology; Geography; Geomorphology; Glacial period","score_opus":0.023037258850964207,"score_gpt":0.2193375786250431,"score_spread":0.1963003197740789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087801602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99489117,0.00019640934,0.000131478,0.000100168174,0.000004881642,0.000016496657,0.001031528,0.000011501672,0.0036163796],"genre_scores_gemma":[0.9929836,0.00024255132,0.00047242743,0.000033362052,0.0000022944114,0.00001767026,0.000813673,0.0000039217525,0.005430626],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998858,0.000009929378,0.000007749833,0.00003132788,0.000024841693,0.000040450417],"domain_scores_gemma":[0.99947315,0.00003534413,0.000105845225,0.000017484703,0.00027574523,0.0000925351],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001816431,0.000184278,0.00015606091,0.0007951735,0.0022309867,0.00090432144,0.00032554136,0.00020051317,0.0011244954],"category_scores_gemma":[0.0005406623,0.00018995834,0.000096489,0.0014053783,0.000479962,0.00029470248,0.0007369754,0.00018853355,0.00020609287],"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":[0.00012681243,0.000027671495,0.974466,0.000046183435,0.000043640364,0.00023268948,0.004969823,0.00024005592,0.0023852477,0.00054769317,0.0017896286,0.01512445],"study_design_scores_gemma":[0.0000019120328,0.000009517607,0.9901266,0.000032646825,0.000009250436,0.000047199926,0.004436404,0.00013789558,0.00022925736,0.00003723051,0.004926995,0.0000051200573],"about_ca_topic_score_codex":0.90832925,"about_ca_topic_score_gemma":0.9895271,"teacher_disagreement_score":0.09167075,"about_ca_system_score_codex":0.004096142,"about_ca_system_score_gemma":0.0056287837,"threshold_uncertainty_score":0.18442118},"labels":[],"label_agreement":null},{"id":"W3088007940","doi":"","title":"Stratigraphic relationships from two previously undescribed tuyas in northern British Columbia: Constraints on Quaternary paleo-ice distributions","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quaternary; Geology; Paleontology; Quaternary science; Archaeology; Physical geography; Geography","score_opus":0.036015082005479336,"score_gpt":0.25536060632304397,"score_spread":0.21934552431756463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088007940","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966473,0.00039211943,0.00013374772,0.00003472725,0.000004431737,0.00001684203,0.00032740313,0.000009978316,0.0024335294],"genre_scores_gemma":[0.9978498,0.0001862867,0.0003075074,0.00003047312,0.0000014962035,0.000015574748,0.00042736513,0.000008488365,0.0011728689],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996885,0.000028418739,0.00003296377,0.000072531395,0.000049785245,0.00012776311],"domain_scores_gemma":[0.99809486,0.0002256234,0.0003284514,0.00007957459,0.0008640281,0.00040741818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004011522,0.0003077944,0.00043029553,0.0038533479,0.0050029536,0.001694717,0.0010647577,0.00045475984,0.0025506965],"category_scores_gemma":[0.0016009063,0.0002873599,0.00018595428,0.005661809,0.0014767072,0.00040715895,0.001191461,0.0005674468,0.00043371107],"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":[0.0003728539,0.00007394637,0.9155296,0.00009479286,0.00006572299,0.0005802709,0.02320122,0.00037722616,0.011464824,0.000411283,0.00082306546,0.047005117],"study_design_scores_gemma":[0.0000065817553,0.000014949857,0.98928005,0.00005589948,0.000020721804,0.00015687538,0.0072387094,0.0003164838,0.00040279768,0.00005566079,0.0024391024,0.0000122038355],"about_ca_topic_score_codex":0.9519667,"about_ca_topic_score_gemma":0.9890531,"teacher_disagreement_score":0.048033297,"about_ca_system_score_codex":0.009251063,"about_ca_system_score_gemma":0.00687213,"threshold_uncertainty_score":0.0966323},"labels":[],"label_agreement":null},{"id":"W3089038670","doi":"","title":"Experimental evidence of site specific preferential processing of either ice algae or phytoplankton by benthic macroinfauna in Lancaster Sound and North Water Polynyas, Canada","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Oceanography; Phytoplankton; Benthic zone; Sound (geography); Algae; Fishery; Environmental science; Sea ice; Geology; Ecology; Biology","score_opus":0.04190879609845127,"score_gpt":0.258110840765115,"score_spread":0.2162020446666637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089038670","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99907,0.00003755906,0.000037882677,0.000016586167,0.0000017149272,0.0000062786703,0.00007216096,0.0000019175488,0.0007560667],"genre_scores_gemma":[0.9970841,0.00009881382,0.00025030185,0.00006422958,0.0000017358615,0.000017185686,0.00021331821,0.0000069138305,0.0022634],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996729,0.000033993856,0.000016244769,0.00009915678,0.00007060155,0.0001072527],"domain_scores_gemma":[0.9985372,0.00023398815,0.00020449841,0.00008930126,0.00049463345,0.00044045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033159112,0.00027674672,0.00021102263,0.00053109083,0.0022347877,0.0008315274,0.00055267144,0.00033995116,0.0023737191],"category_scores_gemma":[0.0010593862,0.00038507063,0.00015552968,0.00046239878,0.0012998701,0.0002947862,0.00052413275,0.0003459764,0.00023615133],"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":[0.00796202,0.0006305836,0.67698675,0.00017229555,0.00018900781,0.00041502385,0.004284297,0.00065109454,0.2891291,0.0004752007,0.0011176509,0.017986953],"study_design_scores_gemma":[0.00002712155,0.0001919782,0.9934277,0.000005954707,0.00002365259,0.000049075526,0.0011371284,0.00016436746,0.004577192,0.000056606434,0.00033109606,0.000008064921],"about_ca_topic_score_codex":0.8861664,"about_ca_topic_score_gemma":0.9642602,"teacher_disagreement_score":0.113833606,"about_ca_system_score_codex":0.00514186,"about_ca_system_score_gemma":0.0061090076,"threshold_uncertainty_score":0.22900796},"labels":[],"label_agreement":null},{"id":"W3089208866","doi":"","title":"Geothermobarometric constraints on the Neoarchean metamorphic overprint in the Nuvvuagittuq supracrustal belt (NSB), northern Québec, Canada","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metamorphic rock; Geology; Geochemistry; Metamorphism; Earth science","score_opus":0.02046380885033893,"score_gpt":0.21248957356396564,"score_spread":0.1920257647136267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089208866","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9711819,0.0012049522,0.0008807543,0.00039170813,0.000014154894,0.000030173158,0.0066099614,0.00008973469,0.01959669],"genre_scores_gemma":[0.9963458,0.00019023307,0.00030383363,0.000036512487,0.0000033081662,0.000008842184,0.0013454354,0.000024961337,0.0017410142],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996344,0.000027979035,0.00001549879,0.0000768269,0.00011054531,0.00013477204],"domain_scores_gemma":[0.99885774,0.00009562922,0.00013291978,0.000043418673,0.00075444084,0.000115870826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004323058,0.0003656613,0.0004954835,0.0038503017,0.0023470426,0.0016452295,0.0007536763,0.00040561784,0.0061862026],"category_scores_gemma":[0.0015162309,0.00028290664,0.0002790119,0.0051513077,0.0008957505,0.00041031116,0.00065355044,0.00037219163,0.00063299],"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":[0.00033878972,0.00005671385,0.9134418,0.00012408441,0.0001601853,0.00019863345,0.0016794443,0.01486238,0.013935922,0.0029366876,0.0054388135,0.046826694],"study_design_scores_gemma":[0.000007085685,0.0000033986662,0.9947831,0.000021447398,0.000008597423,0.000014819104,0.00043086178,0.0021366891,0.00021179616,0.00013984393,0.0022322196,0.000010271749],"about_ca_topic_score_codex":0.99133426,"about_ca_topic_score_gemma":0.99685115,"teacher_disagreement_score":0.020269183,"about_ca_system_score_codex":0.020269183,"about_ca_system_score_gemma":0.00921316,"threshold_uncertainty_score":0.14706391},"labels":[],"label_agreement":null},{"id":"W3089233636","doi":"","title":"Variability of interleaving structure of Atlantic Water during its propagation along the Eurasian basin (Arctic Ocean) continental margin","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Continental margin; Geology; Oceanography; Arctic; Continental shelf; Canada Basin; The arctic; Margin (machine learning); Structural basin; Climatology; Paleontology; Tectonics","score_opus":0.012005925754884648,"score_gpt":0.2262087697167715,"score_spread":0.21420284396188685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089233636","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99921465,0.000025050402,0.000066630244,0.0000102692875,0.0000026026307,0.0000013967062,0.00013566899,0.0000031092784,0.00054070033],"genre_scores_gemma":[0.999537,0.00001561555,0.00006168035,0.0000025978875,0.0000027958185,0.000001967663,0.0001892729,0.0000021829953,0.00018690142],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99991715,0.000009754613,0.000007444523,0.00003350082,0.000012400824,0.000019798139],"domain_scores_gemma":[0.999665,0.00004738349,0.00008829999,0.00002413184,0.00011602421,0.00005904185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019704894,0.00012462687,0.00014838784,0.0007058861,0.00041119475,0.0005485171,0.00020114605,0.00025876297,0.0009553072],"category_scores_gemma":[0.00055615883,0.00014215913,0.00020894902,0.0007364664,0.00026849488,0.0003335499,0.0005771129,0.00016558282,0.00017252813],"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":[0.00023927733,0.000025895335,0.98305964,0.000011122978,0.000064815846,0.000110946756,0.00060541875,0.0010750217,0.009621763,0.00016307525,0.0001787651,0.0048443084],"study_design_scores_gemma":[0.0000016668703,0.0000093581675,0.99893135,0.000002437827,0.000006744139,0.000013683874,0.00014499958,0.0005521975,0.0001282791,0.000013947912,0.00019265132,0.0000026509774],"about_ca_topic_score_codex":0.03537621,"about_ca_topic_score_gemma":0.045540832,"teacher_disagreement_score":0.03537621,"about_ca_system_score_codex":0.0004265869,"about_ca_system_score_gemma":0.00040993837,"threshold_uncertainty_score":0.07034063},"labels":[],"label_agreement":null},{"id":"W3089297786","doi":"","title":"Post-wildfire erosion and mass movement in British Columbia: site-scale soil changes and catchment-scale processes","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Erosion; Mass movement; Scale (ratio); Hydrology (agriculture); Environmental science; Drainage basin; Movement (music); Surface runoff; Geology; Geography; Landslide; Geomorphology; Cartography; Ecology; Geotechnical engineering","score_opus":0.005593399762613851,"score_gpt":0.19861142294835177,"score_spread":0.1930180231857379,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089297786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986676,0.00024369465,0.000025829666,0.00011484149,0.000003302916,0.000004897901,0.00043941682,0.0000046974674,0.0004957485],"genre_scores_gemma":[0.9980107,0.00025356628,0.000038554714,0.00003377361,0.0000031325048,0.000005871067,0.00043652166,0.0000045888037,0.0012134117],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976045,0.000039811886,0.000015096311,0.00005128647,0.00004287279,0.00009040561],"domain_scores_gemma":[0.9989097,0.00023479042,0.00014152189,0.000062152954,0.00037874738,0.00027305764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003821569,0.00023508068,0.00034148397,0.000843616,0.001231559,0.0012772091,0.0008994871,0.0005606178,0.0026244947],"category_scores_gemma":[0.0019158345,0.00034859614,0.00024472136,0.0022804323,0.0007824539,0.000494287,0.0007276107,0.0005993013,0.00027918964],"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":[0.00019429479,0.0000915666,0.9864503,0.000027447853,0.00010074853,0.0002160189,0.0008379818,0.0007187314,0.0005943586,0.00008053959,0.001142739,0.009545246],"study_design_scores_gemma":[0.0000045059433,0.0000038988665,0.9989446,0.000004548852,0.000014495,0.000018697807,0.00049386884,0.00030304055,0.000024870458,0.000014449026,0.0001696975,0.0000034740158],"about_ca_topic_score_codex":0.9779791,"about_ca_topic_score_gemma":0.9932375,"teacher_disagreement_score":0.022020876,"about_ca_system_score_codex":0.008621785,"about_ca_system_score_gemma":0.00548119,"threshold_uncertainty_score":0.06255567},"labels":[],"label_agreement":null},{"id":"W3089942638","doi":"","title":"The ESASSI-08 cruise in the South Scotia Ridge region: Water masses, currents, and the ASF","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cruise; Ridge; Geology; Nova scotia; Oceanography; Current (fluid); Geography; Paleontology","score_opus":0.016512180045651692,"score_gpt":0.21454457963387086,"score_spread":0.19803239958821917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089942638","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9684585,0.000537549,0.00021358803,0.00092694134,0.00008840934,0.00003785198,0.016362892,0.000032967673,0.013341331],"genre_scores_gemma":[0.9888348,0.0001971078,0.00029634542,0.00007479807,0.00002290824,0.000011839467,0.0042823525,0.000014764698,0.006265152],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99991035,0.00001093773,0.0000050708827,0.000015405825,0.000030585183,0.000027578417],"domain_scores_gemma":[0.9997445,0.00002099811,0.00004228955,0.000014610752,0.00012649129,0.000051103834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002612431,0.00020832519,0.00019527304,0.0006130353,0.0004421224,0.0005951651,0.00023256971,0.00035316782,0.001508005],"category_scores_gemma":[0.0006179473,0.00013712248,0.0002083991,0.0012190713,0.00021389287,0.00036061034,0.0005330246,0.0003558124,0.0003028319],"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":[0.00054619304,0.000053931482,0.95078117,0.000103220664,0.000113770795,0.00049843447,0.0008857969,0.0069818464,0.0056089554,0.0007258022,0.016594665,0.017106242],"study_design_scores_gemma":[0.000008803467,0.0000085448355,0.996218,0.000012981754,0.0000061461155,0.000010047855,0.00017427682,0.0008571129,0.00009861103,0.00003325066,0.0025680743,0.000004203391],"about_ca_topic_score_codex":0.8663254,"about_ca_topic_score_gemma":0.93097717,"teacher_disagreement_score":0.8663254,"about_ca_system_score_codex":0.002170302,"about_ca_system_score_gemma":0.0027980078,"threshold_uncertainty_score":0.2689237},"labels":[],"label_agreement":null},{"id":"W3090070622","doi":"","title":"High-resolution modelling of the mean flow and meso-scale eddy variability around the Grand Banks of Newfoundland","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Flow (mathematics); Geology; Mean flow; Mechanics; Meteorology; Geography; Physics; Turbulence; Cartography","score_opus":0.0318110425427677,"score_gpt":0.21101521248221936,"score_spread":0.17920416993945165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3090070622","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99491197,0.000118328884,0.00084543385,0.00026455082,0.000019456284,0.000010876508,0.0011814943,0.000104913,0.002542961],"genre_scores_gemma":[0.99745756,0.000056710993,0.0007917451,0.00002390234,0.000004019757,0.0000086867,0.0005960457,0.0000151867325,0.0010460962],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986386,0.000016855312,0.000008366296,0.000036326008,0.000014917821,0.000059749527],"domain_scores_gemma":[0.9996165,0.000084858264,0.000064253036,0.000048023354,0.000113977,0.0000724464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024662405,0.00034845193,0.000316621,0.00034127617,0.000823079,0.001164819,0.000886828,0.00065488974,0.0016258213],"category_scores_gemma":[0.0009001704,0.00043356637,0.00047321856,0.0005908833,0.00055550056,0.0005388046,0.00046176056,0.0006787055,0.00020480664],"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":[0.0003380192,0.00021711778,0.18351643,0.00008116876,0.00031700032,0.0005390069,0.00043259008,0.78824675,0.005301201,0.0009995903,0.00525389,0.014757147],"study_design_scores_gemma":[0.000092328446,0.000029795303,0.38854185,0.00003624655,0.000064155574,0.00003388734,0.00034781478,0.60764927,0.00070628297,0.00016623875,0.0022810805,0.000051067982],"about_ca_topic_score_codex":0.90909445,"about_ca_topic_score_gemma":0.94064415,"teacher_disagreement_score":0.09090555,"about_ca_system_score_codex":0.0050758068,"about_ca_system_score_gemma":0.004210223,"threshold_uncertainty_score":0.18288177},"labels":[],"label_agreement":null},{"id":"W3090119772","doi":"","title":"Magnetic flux expulsion from the core as a possible cause of the unusually large acceleration of the North magnetic pole during the 1990s","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geomagnetism and Paleomagnetism Studies","field":"Biochemistry, Genetics and Molecular Biology","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":"Collège Boréal","funders":"","keywords":"Secular variation; Earth's magnetic field; Geomagnetic secular variation; Dynamo; Magnetic field; Geology; Acceleration; Polar; Physics; Magnetic flux; Dynamo theory; Geodesy; Geophysics; Geomagnetic storm; Astronomy","score_opus":0.013937790320647342,"score_gpt":0.23867865701550894,"score_spread":0.2247408666948616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3090119772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99688655,0.00054585363,0.0003373063,0.00043068302,0.00003505212,0.0000071463946,0.000103064,0.000035999416,0.00161831],"genre_scores_gemma":[0.9992447,0.00020748709,0.00010705841,0.000047200607,0.000037786383,0.0000028864365,0.00010830467,0.000007047637,0.00023766267],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992955,0.00000955388,0.0000073461315,0.000021733926,0.00001569159,0.000015984884],"domain_scores_gemma":[0.99972266,0.00003136426,0.00012611022,0.000020905041,0.00004432393,0.00005463497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034087963,0.00021896156,0.00033467208,0.0006175254,0.0005383093,0.00042060486,0.00029617982,0.00056497083,0.0012057137],"category_scores_gemma":[0.0010320294,0.0002051958,0.00018316493,0.0004854866,0.00044776933,0.0003177577,0.00055681076,0.0004108409,0.00019389341],"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":[0.0010224435,0.00013292584,0.8280423,0.00037597973,0.0002479562,0.007006433,0.0014835307,0.007406634,0.10932392,0.0032857617,0.0035579128,0.038114123],"study_design_scores_gemma":[0.000042989705,0.000058138783,0.9905723,0.000018611392,0.00003508768,0.00046631342,0.00016953424,0.0045946063,0.0016219064,0.0004965708,0.0019128998,0.00001110518],"about_ca_topic_score_codex":0.010105759,"about_ca_topic_score_gemma":0.010126042,"teacher_disagreement_score":0.010105759,"about_ca_system_score_codex":0.00082284526,"about_ca_system_score_gemma":0.00031833776,"threshold_uncertainty_score":0.020093858},"labels":[],"label_agreement":null},{"id":"W3091394057","doi":"","title":"Boundary-layer measurements and surface fluxes in Arctic at the Eureka (Canada) and Tiksi (Russia) climate observatories","year":2012,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Arctic; Environmental science; Boundary layer; Layer (electronics); Climatology; Meteorology; The arctic; Atmospheric sciences; Geography; Geology; Oceanography; Engineering; Materials science; Aerospace engineering","score_opus":0.029809256530963106,"score_gpt":0.22531254657917915,"score_spread":0.19550329004821604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091394057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998055,0.00012097812,0.000107356216,0.000037519756,0.0000104282535,0.0000028024203,0.0010149017,0.000011285593,0.0006395822],"genre_scores_gemma":[0.9972178,0.000118671465,0.0004014667,0.000019846711,0.0000060722273,0.00000806029,0.001800866,0.000014429622,0.00041289552],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99971527,0.000029594868,0.000021003463,0.000091820766,0.00006774636,0.00007468016],"domain_scores_gemma":[0.99964106,0.000055953722,0.000050144303,0.000017952285,0.00017112437,0.00006373986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006249603,0.00034537798,0.00045834895,0.00072126713,0.0014284471,0.0013191986,0.00041556708,0.00055387063,0.0004555961],"category_scores_gemma":[0.0008332907,0.0003219263,0.0003896993,0.0010313744,0.0003831626,0.0008561421,0.0007411018,0.0004930323,0.00016776548],"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":[0.0014458331,0.00013553484,0.93084526,0.000111142166,0.00033825627,0.00026522164,0.0019647798,0.0051720203,0.04648139,0.00037375663,0.0009676931,0.011899084],"study_design_scores_gemma":[0.00003529892,0.000014918819,0.9949833,0.000014805643,0.000039203467,0.000020243167,0.00037274577,0.0016230103,0.0021571605,0.00002625418,0.0006973188,0.000015664758],"about_ca_topic_score_codex":0.5904843,"about_ca_topic_score_gemma":0.5951045,"teacher_disagreement_score":0.40951568,"about_ca_system_score_codex":0.0026073025,"about_ca_system_score_gemma":0.00255729,"threshold_uncertainty_score":0.8238548},"labels":[],"label_agreement":null},{"id":"W3091981482","doi":"","title":"First seismic survey of Lake Saint-Jean (Québec, Canada): sedimentary record of the last deglaciation","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Deglaciation; SAINT; Geology; Sedimentary rock; Oceanography; Archaeology; Paleontology; History; Art history; Holocene","score_opus":0.035496851370159954,"score_gpt":0.21349667635172154,"score_spread":0.17799982498156158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091981482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8863589,0.005722086,0.0014540676,0.0030272098,0.000116086645,0.00020374462,0.066038705,0.00025400548,0.036825087],"genre_scores_gemma":[0.9486063,0.0014938479,0.0017484941,0.000304874,0.00002562271,0.000064156644,0.011275725,0.000050531424,0.036430433],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997663,0.0000105122235,0.0000120219365,0.000041231702,0.00009007558,0.000079877536],"domain_scores_gemma":[0.9984963,0.00003084142,0.0001235848,0.000025114483,0.0010804042,0.00024372978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031468595,0.0004182411,0.00039836534,0.0026070436,0.0027441722,0.00093607453,0.0009927398,0.0005918801,0.0064857],"category_scores_gemma":[0.0008607013,0.00030781323,0.00029933196,0.004172261,0.00054965366,0.00045486103,0.00078940025,0.0006913679,0.0008627751],"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":[0.0005400227,0.00013928564,0.79174644,0.0008382921,0.0004185163,0.00063153985,0.00762457,0.003359288,0.009405955,0.002428045,0.078638844,0.10422918],"study_design_scores_gemma":[0.000013362804,0.000013020308,0.9721404,0.00009486918,0.000021214013,0.000049234008,0.00096004095,0.00070409884,0.00029214186,0.000035621506,0.02566167,0.000014342542],"about_ca_topic_score_codex":0.9980903,"about_ca_topic_score_gemma":0.9995146,"teacher_disagreement_score":0.028404364,"about_ca_system_score_codex":0.028404364,"about_ca_system_score_gemma":0.03447259,"threshold_uncertainty_score":0.20608902},"labels":[],"label_agreement":null},{"id":"W3092657034","doi":"","title":"Freshwater forcing modified the Labrador Current vigor and northwest Atlantic slope waters during the Little Ice Age and Medieval Climate Anomaly","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Anomaly (physics); Forcing (mathematics); Climatology; Current (fluid); Oceanography; Geology; Climate change; Little ice age; Physical geography; Environmental science; Geography","score_opus":0.024914441046854887,"score_gpt":0.25110218115082866,"score_spread":0.22618774010397377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092657034","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986778,0.0000435488,0.000018236178,0.00007613242,0.000007838333,0.0000016174666,0.0003258628,0.0000049992577,0.00084400235],"genre_scores_gemma":[0.99923134,0.00003116252,0.00001988036,0.000024339904,0.0000072777634,0.000002039528,0.00024577556,0.000006553908,0.00043172363],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999461,0.000008742898,0.000005273313,0.000014207292,0.000004636035,0.00002107377],"domain_scores_gemma":[0.99970156,0.000052467174,0.00008531008,0.000018549808,0.00004550426,0.000096568365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002454874,0.00016453244,0.00020794454,0.00049146137,0.0004547093,0.0009986983,0.00031908645,0.00044245084,0.0031105932],"category_scores_gemma":[0.00075961807,0.00027065072,0.0003578492,0.00048461158,0.00045636267,0.0005177359,0.00059321465,0.00029665092,0.00030742402],"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":[0.0006207127,0.0000489527,0.98221385,0.000023537184,0.000108278786,0.00015196901,0.00071573205,0.00088797405,0.009869427,0.00031754386,0.00055986946,0.004482101],"study_design_scores_gemma":[0.0000048711245,0.000010176597,0.99906844,0.0000027920305,0.000010482809,0.0000090101385,0.00018488687,0.00030915308,0.00011199644,0.0000319488,0.00025299733,0.0000034289544],"about_ca_topic_score_codex":0.08690794,"about_ca_topic_score_gemma":0.15970531,"teacher_disagreement_score":0.08690794,"about_ca_system_score_codex":0.0010194314,"about_ca_system_score_gemma":0.0006039298,"threshold_uncertainty_score":0.17280412},"labels":[],"label_agreement":null},{"id":"W3092851557","doi":"","title":"Glacial landforms of the southern Ungava Bay region (Canada): implications for the late-glacial dynamics and the damming of glacial Lake Naskaupi","year":2014,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Glacial period; Glacial landform; Landform; Geology; Bay; Physical geography; Glacial lake; Post-glacial rebound; Geomorphology; Oceanography; Moraine; Geography","score_opus":0.01918451768394832,"score_gpt":0.2323536615105796,"score_spread":0.21316914382663127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092851557","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955701,0.0005027668,0.00005602565,0.00021758045,0.000005498974,0.000009688874,0.0012237076,0.000007748927,0.0024068886],"genre_scores_gemma":[0.9974788,0.00041975637,0.00016821612,0.00002613658,0.0000015815119,0.000005479988,0.000654368,0.000005015405,0.0012407294],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998765,0.0000074964123,0.0000087624885,0.000018452265,0.000025354448,0.000063298554],"domain_scores_gemma":[0.99973387,0.000020314113,0.000038209026,0.000008474791,0.00012800624,0.00007110393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002146416,0.00019321666,0.00022849493,0.0013545222,0.0026004643,0.0015138427,0.00054981763,0.00025237096,0.0022632384],"category_scores_gemma":[0.00075239147,0.00022696027,0.00024662475,0.0030745964,0.0010164062,0.00045672889,0.0007804277,0.0002835601,0.0001704952],"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":[0.00019960366,0.00002703063,0.9591842,0.00013398021,0.000086697546,0.0004118954,0.006225301,0.001316726,0.0027841735,0.0015250389,0.0016195559,0.026485704],"study_design_scores_gemma":[0.0000038127712,0.0000048915326,0.9932514,0.000027894179,0.000012458653,0.000049848873,0.004013957,0.0004280376,0.00009935212,0.00008913981,0.0020124821,0.000006641802],"about_ca_topic_score_codex":0.9927322,"about_ca_topic_score_gemma":0.9978144,"teacher_disagreement_score":0.01596438,"about_ca_system_score_codex":0.01596438,"about_ca_system_score_gemma":0.019991018,"threshold_uncertainty_score":0.11583024},"labels":[],"label_agreement":null},{"id":"W3092978328","doi":"","title":"Canadian wildfire smoke over central Europe: Optical characterization by means of tropospheric and stratospheric depolarization and lidar ratios at 355, 532, and 1064 nm","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Lidar; Environmental science; Troposphere; Remote sensing; Atmospheric sciences; Characterization (materials science); Stratosphere; Smoke; Depolarization ratio; Meteorology; Climatology; Materials science; Geography; Geology; Nanotechnology","score_opus":0.005806227008097814,"score_gpt":0.19154776764137207,"score_spread":0.18574154063327425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092978328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954294,0.0004419392,0.00032191005,0.000057598827,0.000009733642,0.000020079315,0.0013963411,0.000025154426,0.0022978266],"genre_scores_gemma":[0.9972978,0.00024102138,0.00034433536,0.000040030947,0.000004057301,0.000007658474,0.0012080554,0.000007651364,0.0008493011],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997032,0.000008196966,0.000007481116,0.000063587184,0.00013926678,0.000078132005],"domain_scores_gemma":[0.9996958,0.000016969727,0.000021002974,0.000007479648,0.00022118803,0.000037688034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030072386,0.0005942655,0.00030779588,0.0011868865,0.0022868859,0.0010648018,0.00086856104,0.00042813498,0.0007762038],"category_scores_gemma":[0.0002919977,0.00028027297,0.00027656893,0.0019677128,0.00046838788,0.00038108678,0.00038033043,0.0003336342,0.00011376254],"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":[0.000941168,0.00023630843,0.9041899,0.00012888414,0.00035439437,0.00039349898,0.0013522918,0.0052277315,0.03935476,0.00038665038,0.0025907706,0.044843573],"study_design_scores_gemma":[0.000011114741,0.000014002033,0.99469995,0.000009916939,0.000050103532,0.000048132795,0.0004281289,0.0017521866,0.0018052931,0.000021552343,0.0011424477,0.000017107453],"about_ca_topic_score_codex":0.98709947,"about_ca_topic_score_gemma":0.99354607,"teacher_disagreement_score":0.012900531,"about_ca_system_score_codex":0.008766723,"about_ca_system_score_gemma":0.0068733343,"threshold_uncertainty_score":0.063607335},"labels":[],"label_agreement":null},{"id":"W3093142608","doi":"","title":"Open Fires in Greenland: An Unusual Event and its Impact on the Albedo of the Greenland Ice Sheet","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Fire effects on ecosystems","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":"Greenland ice sheet; Albedo (alchemy); Snow; Environmental science; Peat; Radiative forcing; Climatology; Atmospheric sciences; Plume; Glacier; Deposition (geology); Cryosphere; Aerosol; Physical geography; Geology; Meteorology; Geography; Sea ice; Geomorphology","score_opus":0.023929556522920552,"score_gpt":0.29367640357703234,"score_spread":0.2697468470541118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093142608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984864,0.00008412781,0.00025227046,0.00003968497,0.00000943634,0.0000047146013,0.0003714595,0.000034545676,0.0007173568],"genre_scores_gemma":[0.9993119,0.000040771134,0.00020885107,0.0000117268555,0.0000035063906,0.0000018016968,0.00028066564,0.000009685924,0.00013119918],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999926,0.000010652538,0.0000040850364,0.000020345882,0.000014348191,0.000024663801],"domain_scores_gemma":[0.9998982,0.000023564702,0.000015994583,0.000012013998,0.000023635374,0.000026631453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025320536,0.00041688498,0.00020883747,0.0004648323,0.00035597524,0.0006858253,0.0002299189,0.0002887036,0.0005257602],"category_scores_gemma":[0.00025585684,0.0001260932,0.00039720305,0.00038396727,0.000312009,0.00038933486,0.0002793145,0.00021956366,0.00007366857],"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":[0.00030606845,0.00018237338,0.7338733,0.00008916006,0.00025968434,0.0015952563,0.0002970982,0.21633215,0.022883058,0.00062912307,0.0012468427,0.02230583],"study_design_scores_gemma":[0.000021014052,0.000049369202,0.7832025,0.000026205236,0.00007980299,0.00011598163,0.00035909654,0.21143407,0.0032386733,0.00025707908,0.0011891943,0.000027072274],"about_ca_topic_score_codex":0.15564549,"about_ca_topic_score_gemma":0.18541642,"teacher_disagreement_score":0.15564549,"about_ca_system_score_codex":0.0017296465,"about_ca_system_score_gemma":0.0006806429,"threshold_uncertainty_score":0.30947906},"labels":[],"label_agreement":null},{"id":"W3093189080","doi":"","title":"The World Already Avoided: Quantifying the Ozone Benefits Achieved by the Montreal Protocol","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"International Law and Aviation","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Montreal Protocol; Protocol (science); Environmental science; Meteorology; Computer science; Ozone; Ozone layer; Geography; Medicine","score_opus":0.09879091772528228,"score_gpt":0.36077838289324765,"score_spread":0.26198746516796534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093189080","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64231116,0.0015932465,0.00698887,0.006253567,0.00012717188,0.00050660654,0.009335202,0.00010574336,0.33277842],"genre_scores_gemma":[0.9807555,0.00042464558,0.0020547144,0.0003802805,0.00002674991,0.00015248815,0.0011426517,0.000019295721,0.0150436275],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977969,0.0005963718,0.00004144278,0.00016326211,0.000832638,0.0005694426],"domain_scores_gemma":[0.99781334,0.00048954086,0.00037530818,0.00017235978,0.000903697,0.0002458081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002354599,0.0003750449,0.00028683248,0.0015410336,0.0012184776,0.003581621,0.0010558064,0.0008657438,0.0048974724],"category_scores_gemma":[0.0075000674,0.00022338824,0.00053798896,0.0024181423,0.001259906,0.001476421,0.0011348466,0.0011174434,0.00016824077],"study_design_candidate":"simulation_or_modeling","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":[0.00054237776,0.0002736189,0.14690776,0.00029727916,0.00087286544,0.00025732984,0.0008766679,0.11557087,0.0016607369,0.6595528,0.03271343,0.040474292],"study_design_scores_gemma":[0.00028877598,0.0007916303,0.6558524,0.00035676418,0.0011594137,0.00007043129,0.005405516,0.097166084,0.0033379872,0.08247692,0.1528081,0.00028598242],"about_ca_topic_score_codex":0.85876155,"about_ca_topic_score_gemma":0.9270227,"teacher_disagreement_score":0.85876155,"about_ca_system_score_codex":0.02148636,"about_ca_system_score_gemma":0.014205915,"threshold_uncertainty_score":0.2841404},"labels":[],"label_agreement":null},{"id":"W3093299760","doi":"","title":"Nonstationary Analysis of Annual Maximum Streamflow of Canada","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Streamflow; Climatology; Environmental science; Geography; Geology; Drainage basin; Cartography","score_opus":0.00901032598295927,"score_gpt":0.21186154339799596,"score_spread":0.20285121741503667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093299760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99643505,0.00023110253,0.0008010207,0.0000844419,0.000008157999,0.0000057883585,0.0012373355,0.00003431382,0.0011627697],"genre_scores_gemma":[0.99724823,0.00010328228,0.00045983063,0.0000114088725,0.00000467784,0.0000032811363,0.0011494149,0.0000117508725,0.0010080929],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998017,0.000013258633,0.00000775653,0.00004782218,0.00007421255,0.000055291264],"domain_scores_gemma":[0.9994404,0.00008946834,0.000043174867,0.000021091011,0.00034774045,0.00005817043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036551472,0.0002070345,0.00021246335,0.0010359436,0.001003391,0.00066749385,0.0005125048,0.00018049311,0.0010629552],"category_scores_gemma":[0.0012873331,0.00015886949,0.00030995734,0.0012803558,0.000276239,0.0002696475,0.00024412479,0.00029780538,0.00012135232],"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":[0.0004873246,0.00017748776,0.79808825,0.000102110906,0.00038487036,0.00028707768,0.0006631547,0.09253948,0.017575014,0.0026966715,0.0055477386,0.0814509],"study_design_scores_gemma":[0.000008099887,0.0000115821,0.93487215,0.00000878889,0.000040501058,0.00002057868,0.000146875,0.0620714,0.0011585436,0.00017881805,0.0014640309,0.000018585793],"about_ca_topic_score_codex":0.9707753,"about_ca_topic_score_gemma":0.984768,"teacher_disagreement_score":0.029224694,"about_ca_system_score_codex":0.008094883,"about_ca_system_score_gemma":0.008779137,"threshold_uncertainty_score":0.058793545},"labels":[],"label_agreement":null},{"id":"W3093832362","doi":"","title":"Antecedent moisture conditions and catchment morphology as controls on spatial patterns of runoff generation in small forest catchments","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Hydrology and Watershed Management Studies","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":true,"ca_institutions":"McGill University","funders":"","keywords":"Antecedent moisture; Surface runoff; Hydrology (agriculture); Environmental science; Drainage basin; Storm; Ephemeral key; Water balance; Streamflow; Runoff curve number; Geology; Geography; Ecology","score_opus":0.018475429741045428,"score_gpt":0.25462780315760936,"score_spread":0.23615237341656392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093832362","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99965847,0.000019629568,0.000094363015,0.000006486183,4.1466083e-7,0.000003017955,0.00007225396,0.000005608893,0.00013979746],"genre_scores_gemma":[0.99986374,0.0000056518825,0.000036285495,0.0000019095537,5.7448875e-7,0.0000014572088,0.000056589728,0.0000018037923,0.00003193136],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996418,0.000102496386,0.00002021959,0.000085714186,0.00006258795,0.000087184555],"domain_scores_gemma":[0.9981839,0.00092292734,0.0003644379,0.00009100344,0.00016741287,0.00027019493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005399531,0.00012736325,0.00019685327,0.0007724992,0.00031090766,0.0007585258,0.0002392665,0.00017639394,0.0012232898],"category_scores_gemma":[0.0024492831,0.00010489668,0.00022999958,0.00095112406,0.0006609465,0.00027341157,0.00038080552,0.0001377786,0.00007914114],"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":[0.00009452997,0.000017708157,0.9922287,0.0000079946285,0.00004387512,0.00010790967,0.00029991037,0.0007388754,0.00398323,0.00004928836,0.00005718433,0.002370757],"study_design_scores_gemma":[9.1701463e-7,0.000006762413,0.9992461,7.445584e-7,0.0000030232422,0.000012328471,0.00009515232,0.0005483633,0.000046248548,0.0000136384115,0.000025549547,0.000001263547],"about_ca_topic_score_codex":0.07497044,"about_ca_topic_score_gemma":0.11372718,"teacher_disagreement_score":0.07497044,"about_ca_system_score_codex":0.0006042528,"about_ca_system_score_gemma":0.00042772296,"threshold_uncertainty_score":0.14906812},"labels":[],"label_agreement":null},{"id":"W3094313206","doi":"","title":"Regional drought-induced pervasive increase in tree mortality and reduction in the biomass carbon sink of Canada's boreal forests","year":2013,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Forest ecology and management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Carbon sink; Boreal; Taiga; Sink (geography); Biomass (ecology); Environmental science; Forestry; Geography; Agroforestry; Physical geography; Ecology; Climate change; Biology; Cartography","score_opus":0.024415586448787167,"score_gpt":0.23926474411114904,"score_spread":0.21484915766236187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094313206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996752,0.0002154206,0.000060712642,0.00032837008,0.000009376041,0.0000050035032,0.0013285006,0.000015740552,0.0012848387],"genre_scores_gemma":[0.9989561,0.00013746427,0.000053843647,0.00006504155,0.0000035567832,0.0000021281892,0.00037905353,0.000003700759,0.00039919876],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998963,0.000005324168,0.000004257982,0.000022648688,0.000019741032,0.000051702693],"domain_scores_gemma":[0.9996284,0.000013711483,0.00006698283,0.000011072069,0.00017761663,0.00010218153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021563133,0.00016412082,0.00020100168,0.0005134913,0.0013419758,0.0006527363,0.00037697985,0.0002704454,0.00094947167],"category_scores_gemma":[0.00048348415,0.00014432013,0.00014681225,0.00071432133,0.0004890945,0.000217899,0.00044215485,0.0003788392,0.00007133135],"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":[0.0003691303,0.000066924964,0.95959264,0.000076236334,0.00020438473,0.00032537646,0.0011242469,0.0018499001,0.02079374,0.0005164468,0.0036638784,0.011417192],"study_design_scores_gemma":[0.0000017482249,0.0000024250414,0.9991391,0.0000022529796,0.000007447702,0.000015296493,0.0002563458,0.00011057402,0.00009496028,0.000015808115,0.00035082054,0.0000033154574],"about_ca_topic_score_codex":0.97529024,"about_ca_topic_score_gemma":0.9903556,"teacher_disagreement_score":0.024709761,"about_ca_system_score_codex":0.008326312,"about_ca_system_score_gemma":0.008357608,"threshold_uncertainty_score":0.06041187},"labels":[],"label_agreement":null},{"id":"W3094380415","doi":"","title":"The influence of shrub canopies on soil temperatures across northern Canada","year":2013,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Shrub; Environmental science; Geography; Physical geography; Hydrology (agriculture); Geology; Ecology; Biology","score_opus":0.006532194828639811,"score_gpt":0.2067031373563839,"score_spread":0.2001709425277441,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094380415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931839,0.0004905191,0.00007815091,0.0003087452,0.000011974958,0.000011245292,0.0010613153,0.000011485386,0.004842718],"genre_scores_gemma":[0.99792826,0.00028244941,0.00008399823,0.000053390435,0.0000038916282,0.0000057232755,0.00029455195,0.000008464521,0.001339306],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943155,0.000059455237,0.000017507518,0.0000988303,0.00013781713,0.00025480468],"domain_scores_gemma":[0.9977487,0.0002697582,0.00021800479,0.000057260368,0.0012089204,0.00049732893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000394428,0.00020130356,0.00036751703,0.0010502747,0.0025763125,0.0017556412,0.00068057084,0.0003477275,0.0023744632],"category_scores_gemma":[0.0017422729,0.00024505059,0.0003817784,0.0025642945,0.0011963181,0.0004098827,0.0007946918,0.00045123367,0.00017591173],"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":[0.0002500342,0.000045672827,0.9800601,0.00006619198,0.00020225249,0.00019780807,0.0030823357,0.00100024,0.0018486598,0.0004924835,0.002261435,0.010492811],"study_design_scores_gemma":[0.0000024942804,0.0000040671844,0.99748176,0.000010876351,0.000015104466,0.000011580123,0.0015023735,0.0001583429,0.00004168608,0.000025246465,0.0007418173,0.0000044748],"about_ca_topic_score_codex":0.9953359,"about_ca_topic_score_gemma":0.9990663,"teacher_disagreement_score":0.019332847,"about_ca_system_score_codex":0.019332847,"about_ca_system_score_gemma":0.018309176,"threshold_uncertainty_score":0.1402703},"labels":[],"label_agreement":null},{"id":"W3094689628","doi":"","title":"Evaluation of a new 1-km MODIS land surface temperature product, Mackenzie River Basin, Canada","year":2012,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Remote sensing; Structural basin; Meteorology; Geography; Climatology; Hydrology (agriculture); Geology; Geomorphology","score_opus":0.07010479162302154,"score_gpt":0.26695732952672385,"score_spread":0.19685253790370233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094689628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94465476,0.0007012305,0.0031892024,0.0010651756,0.000105444145,0.00044481157,0.037702702,0.0006711306,0.011465624],"genre_scores_gemma":[0.9354404,0.00067308673,0.020929327,0.00023937563,0.000025739406,0.00021738169,0.03526564,0.0002544146,0.0069545987],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986877,0.00013371755,0.00006820024,0.0002416401,0.0007459845,0.00012273972],"domain_scores_gemma":[0.9950269,0.0003167289,0.00013273318,0.00016737812,0.004091411,0.00026480856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022708597,0.00077159173,0.00052580936,0.0012465436,0.0016797883,0.0024971636,0.0018147297,0.00052190333,0.0022621406],"category_scores_gemma":[0.005351735,0.00042764816,0.0005303533,0.0024184485,0.0005737771,0.0015690849,0.00073955464,0.00044257205,0.00060907303],"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":[0.0032383618,0.0011198936,0.63068837,0.00091265474,0.0009841637,0.0006212536,0.0022163556,0.069903344,0.026308944,0.0028261482,0.04971688,0.21146367],"study_design_scores_gemma":[0.00053206657,0.00023356327,0.85753936,0.00015662448,0.00045293616,0.000089129666,0.0022431377,0.1010679,0.008365918,0.00034091054,0.02879893,0.00017961537],"about_ca_topic_score_codex":0.99185926,"about_ca_topic_score_gemma":0.99597794,"teacher_disagreement_score":0.020781571,"about_ca_system_score_codex":0.020781571,"about_ca_system_score_gemma":0.027394583,"threshold_uncertainty_score":0.15078157},"labels":[],"label_agreement":null},{"id":"W3094806058","doi":"","title":"A possible three-dimensional mechanism for oscillating wobbles in tropical cyclone-like vortices with concentric eyewalls","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Tropical and Extratropical Cyclones Research","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":"McGill University","funders":"","keywords":"Concentric; Eye; Speed wobble; Tropical cyclone; Cycloid; Physics; Vortex; Nonlinear system; Instability; Mechanism (biology); Geology; Mechanics; Classical mechanics; Geometry; Meteorology; Mathematics","score_opus":0.032044636613011414,"score_gpt":0.26668985995185746,"score_spread":0.23464522333884605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094806058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9846427,0.00012295935,0.012818875,0.00016158233,0.000052237643,0.000028750754,0.000032865657,0.00010678056,0.0020332322],"genre_scores_gemma":[0.99899894,0.000023359713,0.0007316785,0.000009560594,0.00000390704,0.00000537463,0.000007899094,0.0000024953624,0.00021674442],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999559,0.000008161801,0.0000029013288,0.000008937882,0.00000807655,0.000016069569],"domain_scores_gemma":[0.99985325,0.000019414598,0.00005019739,0.000018987028,0.000019298337,0.000038826438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013189916,0.0003368004,0.00033598265,0.00024580126,0.00038528748,0.0005223804,0.0003132871,0.00036938497,0.0011208882],"category_scores_gemma":[0.00030413913,0.00020041282,0.00026420483,0.00006683936,0.00063619483,0.00041112123,0.0005624276,0.00026223282,0.000091466696],"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":[0.0006371351,0.00035894045,0.028883893,0.00021742599,0.00011601882,0.0032303885,0.0006266292,0.18127833,0.7162835,0.052074473,0.0012105659,0.015082672],"study_design_scores_gemma":[0.000096771626,0.00031489966,0.015340962,0.000022435808,0.000028384193,0.00032470297,0.00024075057,0.9480114,0.028078843,0.0065396996,0.00094560796,0.000055488337],"about_ca_topic_score_codex":0.00092233793,"about_ca_topic_score_gemma":0.0004480443,"teacher_disagreement_score":0.0011208882,"about_ca_system_score_codex":0.00024962635,"about_ca_system_score_gemma":0.0002335695,"threshold_uncertainty_score":0.0037497878},"labels":[],"label_agreement":null},{"id":"W3094956479","doi":"","title":"A comprehensive approach for assessing potential fugitive gas migration associated with petroleum development from low permeability reservoirs: case studies from Western Canada","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Petroleum; Petroleum engineering; Fossil fuel; Permeability (electromagnetism); Geology; Tight gas; Natural resource economics; Engineering; Hydraulic fracturing; Waste management; Chemistry; Economics; Paleontology","score_opus":0.03887524973301319,"score_gpt":0.26258232846520274,"score_spread":0.22370707873218953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094956479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98591554,0.00043247102,0.0021993082,0.00016617494,0.0000032371433,0.00020027286,0.0012985686,0.000033292083,0.009751171],"genre_scores_gemma":[0.9879615,0.0007977003,0.0073557077,0.000034477696,0.0000015382168,0.00005101395,0.0005896748,0.000011697847,0.0031967373],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999595,0.000055486402,0.000019447805,0.000036251982,0.00015535863,0.00013851158],"domain_scores_gemma":[0.9994425,0.00011610441,0.00005671378,0.000023875744,0.00030167104,0.00005909348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047660654,0.0005741904,0.00040588705,0.0026000103,0.002578492,0.0017959414,0.0009208552,0.00062400504,0.0009657421],"category_scores_gemma":[0.0014034316,0.00029744447,0.00047786275,0.005592351,0.0007582703,0.00058232417,0.0008762234,0.00046845555,0.000078131365],"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":[0.0004347275,0.0005464698,0.641022,0.0007497926,0.000513091,0.0077829664,0.01195239,0.15238382,0.015826758,0.007785001,0.004455096,0.15654787],"study_design_scores_gemma":[0.00006637002,0.00030603114,0.79506075,0.00033289866,0.00056462927,0.0011899387,0.05929756,0.111533605,0.008414846,0.00235239,0.020698264,0.00018274877],"about_ca_topic_score_codex":0.9851326,"about_ca_topic_score_gemma":0.9955231,"teacher_disagreement_score":0.018454498,"about_ca_system_score_codex":0.018454498,"about_ca_system_score_gemma":0.023835782,"threshold_uncertainty_score":0.13389736},"labels":[],"label_agreement":null},{"id":"W3095039222","doi":"","title":"Tidal Energy in Eastern Canada: The Bay of Fundy","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bay; Oceanography; Tidal power; Geology; Geography; Meteorology; Marine engineering; Engineering","score_opus":0.01723892516353337,"score_gpt":0.23164409315291973,"score_spread":0.21440516798938636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095039222","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93946224,0.006971077,0.00023746041,0.007308515,0.00015954321,0.000054888766,0.0055717477,0.00005134276,0.040183134],"genre_scores_gemma":[0.97110975,0.0027293672,0.00039261582,0.00046092214,0.000024142555,0.000012518067,0.0013843339,0.000027720547,0.023858542],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995782,0.000021109556,0.000019581232,0.00004505047,0.00013237256,0.00020377102],"domain_scores_gemma":[0.99885285,0.00003772229,0.000075920325,0.000024364934,0.00070236356,0.00030669244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003863992,0.00028421998,0.0003688851,0.0015262782,0.0049714125,0.003600466,0.00083798624,0.000769854,0.0055514174],"category_scores_gemma":[0.001293838,0.00028737582,0.0003730317,0.0049979337,0.0010919388,0.0010976029,0.0019420489,0.0006588243,0.00036730806],"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":[0.00031302002,0.000059104554,0.8541712,0.00029319598,0.0001485571,0.001261691,0.017043317,0.001137149,0.000867109,0.006302114,0.032452818,0.08595075],"study_design_scores_gemma":[0.000007773114,0.000011258021,0.93994766,0.00015301397,0.000040328174,0.00012551178,0.01799285,0.00037728855,0.00010293398,0.00024907282,0.040967535,0.000024696286],"about_ca_topic_score_codex":0.9980884,"about_ca_topic_score_gemma":0.9995524,"teacher_disagreement_score":0.041081317,"about_ca_system_score_codex":0.041081317,"about_ca_system_score_gemma":0.065340705,"threshold_uncertainty_score":0.2980672},"labels":[],"label_agreement":null},{"id":"W3095054159","doi":"","title":"Mapping Effective Leaf Area Index of Lodgepole Pine of Alberta using Landsat-TM and MODIS Data","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Remote sensing; Index (typography); Forestry; Leaf area index; Environmental science; Thematic Mapper; Geography; Physical geography; Satellite imagery; Computer science; Agronomy","score_opus":0.030059800044118762,"score_gpt":0.2535908329494548,"score_spread":0.22353103290533602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095054159","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943692,0.0003428496,0.00055617274,0.000046727793,0.0000054397697,0.000016398946,0.0019811671,0.000050448572,0.0026316578],"genre_scores_gemma":[0.9926508,0.00023287871,0.001879847,0.000023406936,0.000002746817,0.000009808065,0.002979365,0.000007974213,0.002213235],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988055,0.0000065624645,0.0000057791394,0.00003092927,0.000047879348,0.000028252156],"domain_scores_gemma":[0.9997658,0.00002019793,0.00002223786,0.000008343796,0.00014791255,0.00003546683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028361095,0.00021716807,0.00014785059,0.0013376474,0.0005978477,0.00052908045,0.0004004179,0.00016766792,0.00059275405],"category_scores_gemma":[0.00028605497,0.00013232949,0.00013645805,0.0014765384,0.0002017757,0.00021556186,0.00021707553,0.00013396576,0.00015450991],"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":[0.00053825777,0.00013528533,0.8915403,0.000103224076,0.000095969,0.0007171184,0.0009112339,0.008366754,0.025579888,0.00055335,0.0033613339,0.06809724],"study_design_scores_gemma":[0.000013801984,0.000010949456,0.9913152,0.000010820045,0.000029190307,0.000054295648,0.0006523925,0.004999956,0.0010273367,0.00006229695,0.0018128358,0.000011047043],"about_ca_topic_score_codex":0.93402684,"about_ca_topic_score_gemma":0.9719319,"teacher_disagreement_score":0.06597316,"about_ca_system_score_codex":0.0038388076,"about_ca_system_score_gemma":0.0028925145,"threshold_uncertainty_score":0.13272333},"labels":[],"label_agreement":null},{"id":"W3095124542","doi":"","title":"Intercomparison of atmospheric water vapour satellite measurements made over the Canadian High Arctic","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Satellite; Water vapor; Arctic; Climatology; Meteorology; Atmospheric sciences; The arctic; Remote sensing; Oceanography; Geography; Geology","score_opus":0.023476455259665557,"score_gpt":0.23030875852418628,"score_spread":0.20683230326452073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095124542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98639953,0.0009610262,0.0012472795,0.00019594905,0.00021930983,0.000055086206,0.005554405,0.00016351402,0.005203986],"genre_scores_gemma":[0.98832136,0.0004472133,0.0027470572,0.00010307616,0.00003511672,0.000041915253,0.00597769,0.000066941815,0.0022596538],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984591,0.00009433766,0.00007969014,0.0004468569,0.0005901493,0.00032987108],"domain_scores_gemma":[0.99840516,0.00011556324,0.00009888966,0.00008206783,0.0012025286,0.00009570201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017093746,0.0011960714,0.000896481,0.002641909,0.003824705,0.0024617456,0.0012540246,0.0011274257,0.00081200525],"category_scores_gemma":[0.0016526538,0.00046691083,0.0011900653,0.004550259,0.00067286345,0.0007417656,0.0013314949,0.0006447644,0.00030759114],"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":[0.004840629,0.0006305858,0.6644774,0.0008576821,0.003997204,0.0012261634,0.006419581,0.059682474,0.11047741,0.0011739644,0.014678491,0.13153842],"study_design_scores_gemma":[0.0001642656,0.000075468444,0.9593764,0.00008247892,0.00061587006,0.000079621066,0.0014442627,0.014805979,0.010417218,0.00015154447,0.012659993,0.00012687157],"about_ca_topic_score_codex":0.9803668,"about_ca_topic_score_gemma":0.9851147,"teacher_disagreement_score":0.019633174,"about_ca_system_score_codex":0.0125647,"about_ca_system_score_gemma":0.017430125,"threshold_uncertainty_score":0.091163754},"labels":[],"label_agreement":null},{"id":"W3095694095","doi":"","title":"Reduction of forecast uncertainty in the context of hydropower production: a case study for two catchment in Lac-St-Jean, Canada","year":2014,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Hydropower; Production (economics); Drainage basin; Environmental science; Reduction (mathematics); Water resource management; Environmental resource management; Geography; Hydrology (agriculture); Economics; Mathematics; Engineering; Cartography; Archaeology","score_opus":0.022851347466702206,"score_gpt":0.26364910302026306,"score_spread":0.24079775555356087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095694095","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942806,0.00009371584,0.001376967,0.00046360685,0.0000067864416,0.000051655938,0.00038140733,0.00004442187,0.003300917],"genre_scores_gemma":[0.9975579,0.00006484302,0.00117269,0.000018945877,0.0000029167547,0.000008746055,0.0001522143,0.000008103017,0.0010136111],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.999493,0.000115201976,0.000017689908,0.000056375775,0.00013101874,0.00018670742],"domain_scores_gemma":[0.9985227,0.00066044775,0.00007824871,0.000046121502,0.000512687,0.00017981377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012094318,0.00040040642,0.0004350639,0.0006564376,0.001711801,0.0027760814,0.0010946258,0.0009983301,0.0010526092],"category_scores_gemma":[0.003374232,0.0002181576,0.00042616276,0.001624984,0.0009129955,0.0005791045,0.000693662,0.0007139311,0.000073094976],"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":[0.0007030183,0.0006029169,0.16598244,0.00016044446,0.00018107147,0.0049062115,0.002690779,0.77492934,0.0039290753,0.0043793023,0.0037672322,0.03776815],"study_design_scores_gemma":[0.00012401439,0.00019507374,0.16716532,0.00005857019,0.00014123395,0.00019326754,0.011639425,0.8110153,0.0030739657,0.0018782776,0.004393161,0.0001224336],"about_ca_topic_score_codex":0.95939296,"about_ca_topic_score_gemma":0.9682571,"teacher_disagreement_score":0.040607035,"about_ca_system_score_codex":0.015730634,"about_ca_system_score_gemma":0.012292897,"threshold_uncertainty_score":0.11413425},"labels":[],"label_agreement":null},{"id":"W3096076811","doi":"","title":"Structural and stratigraphic evolution of the Iberia-Newfoundland margin: A quantitative modeling approach","year":2013,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological and Geophysical Studies Worldwide","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Margin (machine learning); Paleontology; Computer science; Machine learning","score_opus":0.027510644910418762,"score_gpt":0.21085122223189712,"score_spread":0.18334057732147835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096076811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9798099,0.0003598614,0.0048605297,0.00056394935,0.000014050681,0.000017019298,0.0025006088,0.00014117146,0.011732941],"genre_scores_gemma":[0.994591,0.00018734999,0.001723139,0.0000355743,0.0000051756174,0.000020227122,0.00058411044,0.00003808068,0.0028152554],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998746,0.000027918608,0.0000064459755,0.00003937913,0.000009233248,0.000042535816],"domain_scores_gemma":[0.9997857,0.000066254055,0.00005493985,0.000025115423,0.00004240033,0.000025563588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040024976,0.0003328463,0.0003170469,0.001030165,0.0006986377,0.0018564385,0.0010072159,0.00062487036,0.002880607],"category_scores_gemma":[0.0008890794,0.00041004698,0.0007695375,0.0010302381,0.00057097897,0.00063386746,0.00052440463,0.00035100066,0.00025359218],"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":[0.00006791392,0.000055094122,0.09538261,0.000049833237,0.00020564927,0.00009255435,0.00020383825,0.8839723,0.0007641956,0.0063690534,0.0016172846,0.011219683],"study_design_scores_gemma":[0.000026902244,0.000023889408,0.15103693,0.00007099873,0.00013352453,0.000040192783,0.00053288596,0.8413486,0.00027442223,0.0015169184,0.0049588983,0.000035807676],"about_ca_topic_score_codex":0.89077586,"about_ca_topic_score_gemma":0.87091476,"teacher_disagreement_score":0.10922414,"about_ca_system_score_codex":0.008996143,"about_ca_system_score_gemma":0.004021582,"threshold_uncertainty_score":0.21973473},"labels":[],"label_agreement":null},{"id":"W3096617956","doi":"","title":"Carbonation of Peridotite by CO2-rich Fluids: Insights from Listvenites in the Advocate Ophiolite (Newfoundland)","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Peridotite; Carbonation; Ophiolite; Geochemistry; Geology; Engineering; Chemical engineering; Mantle (geology)","score_opus":0.02194571147779582,"score_gpt":0.23148836293372405,"score_spread":0.20954265145592824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096617956","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998531,0.000102928476,0.000086858825,0.00004274173,0.000002191782,0.0000036189208,0.00015822944,0.000007995246,0.0010645104],"genre_scores_gemma":[0.9990482,0.0000766816,0.00008516753,0.00001709212,0.0000015834037,0.0000016353015,0.00013826783,0.0000055761593,0.0006258567],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998659,0.0000046006103,0.0000056684016,0.000040366453,0.000027613167,0.0000557319],"domain_scores_gemma":[0.9998976,0.000017840022,0.000016954791,0.0000050275576,0.00004444658,0.000018147644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013518882,0.00030303147,0.00024862305,0.00089320604,0.0012815307,0.0012421801,0.00048208376,0.00051172916,0.0011779862],"category_scores_gemma":[0.00022448463,0.00019409967,0.00013151296,0.00052150403,0.0009941913,0.00066453597,0.0004382659,0.0004406115,0.00013689947],"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":[0.00084558333,0.00015714181,0.38411137,0.00016787893,0.00008462029,0.001540208,0.0025245382,0.002803391,0.59506595,0.0010723526,0.00049224956,0.011134741],"study_design_scores_gemma":[0.000024337747,0.00008810536,0.93937707,0.000017548524,0.000039997027,0.00033351348,0.003905757,0.00404252,0.048955232,0.000182902,0.003007844,0.000025227202],"about_ca_topic_score_codex":0.52687454,"about_ca_topic_score_gemma":0.6240779,"teacher_disagreement_score":0.47312546,"about_ca_system_score_codex":0.00348785,"about_ca_system_score_gemma":0.0016778918,"threshold_uncertainty_score":0.9518236},"labels":[],"label_agreement":null},{"id":"W3096995598","doi":"","title":"Seasonal Variability and Chemical Composition of Carbon Export by the Yukon River, Alaska","year":2012,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Chemical composition; Environmental science; Composition (language); Carbon fibers; Physical geography; Geography; Chemistry","score_opus":0.014584164437959537,"score_gpt":0.20991387756028707,"score_spread":0.19532971312232753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096995598","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992902,0.000052838524,0.00002150612,0.000010782866,0.0000017058923,7.065149e-7,0.00021261013,0.0000028789968,0.00040677044],"genre_scores_gemma":[0.99921775,0.000058127305,0.000029230727,0.0000067844476,0.0000018306038,0.0000015942618,0.0002770257,0.0000023329794,0.00040539095],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99993765,0.0000054341576,0.000009590637,0.000024694993,0.000009624373,0.000013077032],"domain_scores_gemma":[0.9997812,0.00004610891,0.000044406963,0.000012341898,0.00008559322,0.00003030103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018124208,0.00019244499,0.00020316722,0.0006890942,0.0005814246,0.0006122415,0.00018709163,0.00024850975,0.00064731034],"category_scores_gemma":[0.00032547087,0.00018154943,0.00023643566,0.0006719374,0.0002815043,0.000505519,0.00035804114,0.00015054013,0.00010766644],"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":[0.00031554443,0.000032944794,0.98426986,0.000027763394,0.00012115144,0.0001476237,0.0005005274,0.0009796949,0.009814783,0.00009297183,0.0001507186,0.0035463967],"study_design_scores_gemma":[0.0000019452802,0.000008108273,0.99906594,0.0000022097047,0.000015157756,0.000017903416,0.00024784316,0.00026590555,0.00022069208,0.000012095251,0.00013992394,0.0000022772995],"about_ca_topic_score_codex":0.13515438,"about_ca_topic_score_gemma":0.20649755,"teacher_disagreement_score":0.86484563,"about_ca_system_score_codex":0.0007695925,"about_ca_system_score_gemma":0.00048086644,"threshold_uncertainty_score":0.26873535},"labels":[],"label_agreement":null},{"id":"W3097320274","doi":"","title":"The Eocene Thermal Maximum 2 (ETM-2) in the Canadian High Artic: Evidence from a terrestrial section at Stenkul Fiord, Ellesmere Island, Nunavut","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Fjord; Geology; Section (typography); Physical geography; Oceanography; Geography","score_opus":0.04543739851856505,"score_gpt":0.23469734610179183,"score_spread":0.18925994758322678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097320274","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98941046,0.00029634323,0.000122053236,0.00034261294,0.000008822344,0.00002338216,0.00084864744,0.0000096325475,0.0089380015],"genre_scores_gemma":[0.9970675,0.00016815429,0.00018373255,0.00010860596,0.00000464478,0.000013648526,0.00046469198,0.000009895707,0.0019791173],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99951124,0.00002446167,0.000011239899,0.00007780371,0.0001361799,0.0002390629],"domain_scores_gemma":[0.9987802,0.00009206555,0.00015914238,0.000031595966,0.00069816737,0.00023882653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047878764,0.00024902634,0.00030216167,0.0013021431,0.005522342,0.0013366612,0.00153479,0.0006314682,0.0022551236],"category_scores_gemma":[0.0014504471,0.00043595853,0.00020277474,0.0035100973,0.0017744293,0.00050395005,0.0016649987,0.00075823383,0.00020050131],"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":[0.00018217954,0.00006206936,0.96104676,0.00008443678,0.00005301894,0.00035108862,0.0145167345,0.00044795737,0.0042399727,0.0011904573,0.0026357197,0.0151896095],"study_design_scores_gemma":[0.000004176495,0.000005762239,0.9926702,0.000024103667,0.0000064251776,0.000025367928,0.004497988,0.00013405818,0.00014643538,0.000029785524,0.002449441,0.000006396113],"about_ca_topic_score_codex":0.99517715,"about_ca_topic_score_gemma":0.9991291,"teacher_disagreement_score":0.017927818,"about_ca_system_score_codex":0.017927818,"about_ca_system_score_gemma":0.021517914,"threshold_uncertainty_score":0.13007605},"labels":[],"label_agreement":null},{"id":"W3097426330","doi":"","title":"Particle-size dependence of immersion freezing: Investigation of INUIT test aerosol particles with freely suspended water drops.","year":2014,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Aerosol Filtration and Electrostatic Precipitation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Aerosol; Particle size; Environmental science; Particle-size distribution; Atmospheric sciences; Mineralogy; Materials science; Meteorology; Geology; Physics; Chemical engineering; Engineering","score_opus":0.015552863756943976,"score_gpt":0.21232206952820035,"score_spread":0.19676920577125637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097426330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948768,0.00062901643,0.0024091403,0.000037772712,0.000031083728,0.00006593699,0.00031984833,0.000034199602,0.0015962536],"genre_scores_gemma":[0.99706644,0.000373344,0.001424498,0.000028417524,0.000007947869,0.000023607668,0.00027587014,0.000025043242,0.000774815],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997862,0.000023893885,0.000011987932,0.0000421033,0.0000939677,0.00004185373],"domain_scores_gemma":[0.9994923,0.00020692228,0.00007621536,0.000033226654,0.00015742629,0.00003395273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030574948,0.00021609772,0.0001479218,0.00019374171,0.00021424738,0.00021981103,0.00039044098,0.00019332982,0.0010905078],"category_scores_gemma":[0.0009068197,0.000114861614,0.00021386349,0.00017415849,0.0002431714,0.00031046898,0.00019346776,0.00043602192,0.00014911861],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011382036,0.000030432455,0.0010054292,0.000043951644,0.000012371019,0.00004854279,0.00008940648,0.000118221,0.9967064,0.000042954885,0.00006448537,0.001723959],"study_design_scores_gemma":[0.000004608717,0.00031519672,0.012434292,0.0000047403214,0.000015444375,0.00008013419,0.00006954593,0.0015621482,0.9851112,0.000017488623,0.00037786,0.000007315283],"about_ca_topic_score_codex":0.00819358,"about_ca_topic_score_gemma":0.006641308,"teacher_disagreement_score":0.00819358,"about_ca_system_score_codex":0.00032726466,"about_ca_system_score_gemma":0.00021449981,"threshold_uncertainty_score":0.016291797},"labels":[],"label_agreement":null},{"id":"W3098302852","doi":"","title":"Observing Interannual to Decadal Variability of Labrador Sea Outflow","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Outflow; Geology; Oceanography; Climatology; Environmental science","score_opus":0.016322274842172694,"score_gpt":0.23585137901083764,"score_spread":0.21952910416866495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3098302852","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99529254,0.00007092138,0.0003495136,0.000084160434,0.000019571666,0.000006280568,0.002152709,0.00009339079,0.0019310003],"genre_scores_gemma":[0.9956416,0.000062437335,0.00050134637,0.00004108055,0.000015583455,0.000008394153,0.0029499277,0.000017692231,0.000762005],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999887,0.00001454862,0.000008894767,0.000038090733,0.000018724211,0.000032706],"domain_scores_gemma":[0.99961334,0.000062713196,0.00011198788,0.00005113408,0.000089217116,0.000071528026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004147569,0.00024518732,0.00022501672,0.00056934706,0.00031907763,0.00057840644,0.00024206498,0.0002826893,0.00094738026],"category_scores_gemma":[0.0007253157,0.0001651363,0.00021200399,0.00063699484,0.00010946338,0.00029922323,0.0004864696,0.0002905606,0.00031556893],"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":[0.00048317044,0.00012361024,0.9531243,0.0000312258,0.00023488844,0.00008922881,0.00022683774,0.006325167,0.012089288,0.00016049226,0.0028273645,0.024284419],"study_design_scores_gemma":[0.000016139777,0.00002416054,0.9939956,0.000004329177,0.00003724949,0.000013481739,0.00006495783,0.0033602421,0.0010495306,0.000025517253,0.0014026937,0.000006097159],"about_ca_topic_score_codex":0.054960355,"about_ca_topic_score_gemma":0.11839776,"teacher_disagreement_score":0.054960355,"about_ca_system_score_codex":0.00053512317,"about_ca_system_score_gemma":0.000485575,"threshold_uncertainty_score":0.109280944},"labels":[],"label_agreement":null},{"id":"W3098362440","doi":"","title":"Recent Trends in Forecasted and Observed O3, NO2, and PM2.5 Surface Concentrations in Canada","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Atmospheric sciences; Meteorology; Climatology; Geography; Geology","score_opus":0.026687635964803537,"score_gpt":0.22107706402910735,"score_spread":0.19438942806430382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3098362440","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9583903,0.0018963652,0.0010379071,0.0022810006,0.00010295939,0.000014328663,0.026993182,0.0003198371,0.0089640375],"genre_scores_gemma":[0.9883652,0.00093896996,0.0004997654,0.00012351535,0.000014400573,0.000005147322,0.007615913,0.000013743953,0.0024233991],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99984086,0.0000040123286,0.000008479611,0.00003147957,0.00006720389,0.00004792404],"domain_scores_gemma":[0.99920577,0.000042418673,0.00005237178,0.000010100485,0.0006046708,0.000084751024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021290623,0.00033155477,0.00015862638,0.0007816766,0.00076413655,0.0010845492,0.0005708781,0.0004381368,0.0016908658],"category_scores_gemma":[0.0006329604,0.00017833455,0.00040084982,0.0016992246,0.00030711232,0.00041206644,0.0002482566,0.00054903416,0.000207704],"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":[0.0005017226,0.000084564985,0.9157114,0.00022786652,0.00024888883,0.00023239288,0.00063952897,0.027371611,0.0028700852,0.00139139,0.022945845,0.02777473],"study_design_scores_gemma":[0.00001840808,0.000025570691,0.9591943,0.000044780358,0.00008131915,0.000046805377,0.00082197174,0.022646133,0.0013505486,0.00016667682,0.015569021,0.00003444754],"about_ca_topic_score_codex":0.9922895,"about_ca_topic_score_gemma":0.99308187,"teacher_disagreement_score":0.018118603,"about_ca_system_score_codex":0.018118603,"about_ca_system_score_gemma":0.013596015,"threshold_uncertainty_score":0.13146031},"labels":[],"label_agreement":null},{"id":"W3100445166","doi":"","title":"Comparison of morphology of active cyclic steps created by turbidity currents on Squamish Delta, British Columbia, Canada with flume experiments","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Delta; Flume; Geology; Turbidity; Morphology (biology); Turbidity current; Hydrology (agriculture); Oceanography; Geomorphology; Geography; Geotechnical engineering; Mathematics; Paleontology; Engineering; Geometry","score_opus":0.0316075974046491,"score_gpt":0.27320880169958284,"score_spread":0.24160120429493373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3100445166","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968882,0.00007021914,0.00019959056,0.000011472999,0.0000028475172,0.000014109514,0.0004144773,0.000013442659,0.002385679],"genre_scores_gemma":[0.99725515,0.00007034789,0.00031209024,0.000020561352,7.515588e-7,0.00001334768,0.00029553068,0.000007697555,0.0020245477],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99993634,0.0000024046474,0.0000025928923,0.00001413198,0.000021009011,0.000023504415],"domain_scores_gemma":[0.9996983,0.000032542906,0.000026628772,0.000013655062,0.00016842634,0.000060588165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000102420585,0.0001479802,0.00014768052,0.0008260986,0.0011089921,0.0006832477,0.00031448112,0.00029436548,0.0015879114],"category_scores_gemma":[0.0003314868,0.00019280222,0.00016305684,0.00063203624,0.00058672286,0.00019812713,0.0003179677,0.00026008947,0.00016881202],"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":[0.0013782519,0.00011293126,0.43874818,0.00014007807,0.0000908624,0.0007647781,0.0035464081,0.0020839213,0.5245295,0.00050762226,0.0010243324,0.027073065],"study_design_scores_gemma":[0.0000036477734,0.000024682176,0.9946616,0.000004544787,0.000008327411,0.000046802823,0.0005123371,0.00029262842,0.0039555277,0.000011316706,0.00047275756,0.0000058062724],"about_ca_topic_score_codex":0.68327,"about_ca_topic_score_gemma":0.87674356,"teacher_disagreement_score":0.31673002,"about_ca_system_score_codex":0.0027068406,"about_ca_system_score_gemma":0.0019112508,"threshold_uncertainty_score":0.6371906},"labels":[],"label_agreement":null},{"id":"W3102338111","doi":"","title":"Reconciling estimates of regional gross primary productivity among top-down and bottom-up approaches for a tall-tower CO2 concentration footprint area in central Saskatchewan, Canada","year":2013,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Footprint; Productivity; Tower; Top-down and bottom-up design; Ecological footprint; Geography; Environmental science; Agricultural economics; Environmental protection; Engineering; Archaeology; Economics; Economic growth; Sustainable development; Political science","score_opus":0.0207749926570677,"score_gpt":0.19608624902259178,"score_spread":0.17531125636552408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3102338111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9908715,0.00034425536,0.0013236966,0.00029169553,0.000017553148,0.000025562827,0.0038323114,0.00008064858,0.003212783],"genre_scores_gemma":[0.99606436,0.00012477144,0.001374001,0.000050728635,0.000004167083,0.000012270209,0.0017727154,0.000025792991,0.00057111314],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990897,0.00013007689,0.000049338152,0.00023030603,0.00024787177,0.00025273627],"domain_scores_gemma":[0.99730945,0.00043263563,0.00010647815,0.0001509105,0.0018477314,0.0001527462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017091094,0.0007526105,0.0006017086,0.0015475537,0.0018071695,0.0023234256,0.0016642887,0.00061026274,0.00090297085],"category_scores_gemma":[0.003049158,0.0005408322,0.0007293261,0.0037955912,0.00077886606,0.0008538032,0.001044456,0.0005175252,0.0002562091],"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":[0.00033828634,0.000101358266,0.84579223,0.0001312109,0.001090904,0.00030839109,0.0010989166,0.10456622,0.003518276,0.0021367546,0.0055538695,0.035363585],"study_design_scores_gemma":[0.0000457165,0.000016234477,0.9181772,0.000081839935,0.0002532406,0.00003411801,0.0020705888,0.07251396,0.0020435168,0.00073788955,0.00393313,0.0000926521],"about_ca_topic_score_codex":0.98989445,"about_ca_topic_score_gemma":0.99431485,"teacher_disagreement_score":0.025171703,"about_ca_system_score_codex":0.025171703,"about_ca_system_score_gemma":0.020907015,"threshold_uncertainty_score":0.18263435},"labels":[],"label_agreement":null},{"id":"W3102488810","doi":"","title":"Carbonation of Peridotite by CO_{2}-rich Fluids: Listvenite formation in the Advocate Ophiolite (Newfoundland)","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Peridotite; Carbonation; Ophiolite; Geochemistry; Geology; Chemical engineering; Engineering; Mantle (geology)","score_opus":0.020275836029758628,"score_gpt":0.22913571676682395,"score_spread":0.20885988073706532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3102488810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981798,0.00004893691,0.00008915078,0.000050904386,0.0000034314567,0.0000039933348,0.00014392415,0.0000171177,0.0014628106],"genre_scores_gemma":[0.99883336,0.00002485318,0.00008561776,0.000010897519,0.0000010127662,0.0000013288195,0.000114391696,0.0000041420344,0.0009243024],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99990606,0.0000039821994,0.0000046192117,0.000026474157,0.000018807035,0.00004004335],"domain_scores_gemma":[0.9999341,0.0000088519255,0.000015014987,0.0000052234036,0.000021760903,0.000014991636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012064653,0.0002325695,0.00013281708,0.0006000326,0.000833923,0.00075509713,0.00038036212,0.00036167674,0.001502702],"category_scores_gemma":[0.00025234523,0.00012723399,0.00008804605,0.00025270012,0.0006525522,0.0004996484,0.00035725525,0.00031789712,0.00013262799],"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":[0.0011993336,0.00011355365,0.24165523,0.00012981138,0.000059340186,0.0018778848,0.0014123383,0.0053859674,0.72991425,0.00260831,0.0011700877,0.014473938],"study_design_scores_gemma":[0.00006934639,0.00019648076,0.76561636,0.000026410482,0.00004922472,0.00044433415,0.0024821952,0.006928181,0.21754208,0.0004643872,0.0061456775,0.000035241406],"about_ca_topic_score_codex":0.5155071,"about_ca_topic_score_gemma":0.595573,"teacher_disagreement_score":0.4844929,"about_ca_system_score_codex":0.0039233435,"about_ca_system_score_gemma":0.0019996169,"threshold_uncertainty_score":0.97469234},"labels":[],"label_agreement":null},{"id":"W3102607625","doi":"","title":"Ecosystemic postglacial succession of Nettilling Lake (Baffin Island, Canada) inferred by the oxygen isotope composition and the assemblage of lacustrine diatoms","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Assemblage (archaeology); Ecological succession; Geology; Oceanography; Isotopes of oxygen; Composition (language); Paleontology; Ecology; Geochemistry","score_opus":0.019557179970091116,"score_gpt":0.2327137115465415,"score_spread":0.21315653157645037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3102607625","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99742955,0.00028433066,0.00004436085,0.000079261394,0.0000035946941,0.000006183439,0.0010576353,0.0000069714415,0.0010880586],"genre_scores_gemma":[0.9978638,0.00015677023,0.00009338655,0.000033620025,0.0000012670022,0.000004281895,0.00072698627,0.0000034130494,0.0011163809],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998996,0.00000723606,0.000006156592,0.000021438183,0.000019163057,0.00004624315],"domain_scores_gemma":[0.9995989,0.000019345829,0.000049944745,0.000008545257,0.00019374418,0.00012951865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018055145,0.00018842788,0.0001945692,0.0011776816,0.0014819285,0.00077414623,0.0005442195,0.00041595584,0.00223767],"category_scores_gemma":[0.00039717526,0.00031339886,0.00017314547,0.0013199722,0.0006211122,0.00036650064,0.000507064,0.0003126662,0.00027978493],"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":[0.00021897607,0.000040509512,0.97900426,0.000057971665,0.000118382704,0.00018941241,0.0020841686,0.0003420829,0.008489915,0.00034451694,0.0011321205,0.007977577],"study_design_scores_gemma":[0.0000022682152,0.0000036511865,0.999041,0.0000046922555,0.000008336697,0.000017715178,0.00042810306,0.00013263444,0.00005526369,0.000010711087,0.0002934547,0.0000021374258],"about_ca_topic_score_codex":0.97798324,"about_ca_topic_score_gemma":0.9934883,"teacher_disagreement_score":0.022016764,"about_ca_system_score_codex":0.009828998,"about_ca_system_score_gemma":0.007144653,"threshold_uncertainty_score":0.07131469},"labels":[],"label_agreement":null},{"id":"W3107113471","doi":"","title":"Stratospheric variability and tropospheric annular mode timescales.","year":2012,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","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":true,"ca_institutions":"Environment and Climate Change Canada; University of Toronto","funders":"","keywords":"Climatology; Northern Hemisphere; Troposphere; Stratosphere; Polar vortex; Southern Hemisphere; Atmospheric sciences; Environmental science; Forcing (mathematics); Climate model; Atmosphere (unit); Climate change; Geology; Geography; Meteorology; Oceanography","score_opus":0.009205159366704232,"score_gpt":0.22220865059363085,"score_spread":0.2130034912269266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3107113471","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9412899,0.002216284,0.017420435,0.00057515386,0.00011357034,0.00002189135,0.007592144,0.00044675585,0.030323898],"genre_scores_gemma":[0.99797374,0.00023288486,0.00067132624,0.000015954318,0.000016498072,0.000004043458,0.00060444145,0.000019743724,0.0004611965],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999589,0.00000657951,0.0000016591752,0.000012679968,0.000010215766,0.000009944831],"domain_scores_gemma":[0.9998517,0.000045968325,0.000045035173,0.000017100387,0.000019760664,0.000020355412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012061341,0.00018072817,0.000077057,0.00018535172,0.00017131768,0.00044851349,0.00021593481,0.00015286407,0.001877941],"category_scores_gemma":[0.00090929243,0.00005907037,0.000110617184,0.0003676141,0.00012784437,0.0002799183,0.00023680001,0.00016432893,0.00015364354],"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":[0.00055710087,0.00006395882,0.5069345,0.00032338928,0.00040060666,0.0004320538,0.00093034643,0.26713097,0.060598064,0.04201746,0.013612691,0.10699889],"study_design_scores_gemma":[0.00002465981,0.00006152744,0.7365923,0.000033196626,0.00010084587,0.0001992039,0.00019248617,0.21945629,0.0043915045,0.016803415,0.022119798,0.000024784957],"about_ca_topic_score_codex":0.035730675,"about_ca_topic_score_gemma":0.031592134,"teacher_disagreement_score":0.035730675,"about_ca_system_score_codex":0.00037053172,"about_ca_system_score_gemma":0.0004173498,"threshold_uncertainty_score":0.07104534},"labels":[],"label_agreement":null},{"id":"W3107886362","doi":"","title":"222Rn behavior in waters from peatlands and eskers of the Amos region, Abitibi-Temiscamingue, Québec, Canada","year":2013,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Radioactive contamination and transfer","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Peat; Geology; Physical geography; Geography; Archaeology","score_opus":0.007811391562340603,"score_gpt":0.18325520639974072,"score_spread":0.17544381483740012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3107886362","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99741215,0.00012656634,0.00007457266,0.000032936226,0.000003918725,0.00001455805,0.0006434861,0.000004847422,0.0016869565],"genre_scores_gemma":[0.9945732,0.00017715813,0.00021026375,0.00005022784,0.0000029000905,0.000020164394,0.0005934354,0.0000056105255,0.0043671285],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99980086,0.000014106839,0.000011263633,0.000048526934,0.00006111507,0.00006405537],"domain_scores_gemma":[0.9995851,0.00003799072,0.000038934475,0.0000067288743,0.00026327744,0.000067966226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002042265,0.00026242263,0.00028547493,0.00092743005,0.0025824364,0.001093843,0.0004970469,0.00030638443,0.0011738765],"category_scores_gemma":[0.0003551727,0.00018362586,0.00018647345,0.0012141821,0.00068630686,0.0002882979,0.00041945174,0.00021102566,0.00032641806],"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":[0.00038789245,0.00006178853,0.9584391,0.000091715425,0.00007072115,0.00036782507,0.005957741,0.0007003822,0.020512622,0.00013558965,0.00074721465,0.012527396],"study_design_scores_gemma":[0.000004454136,0.000032115295,0.9948984,0.00000949165,0.0000092980845,0.000046567322,0.0028634083,0.00030709323,0.00081412797,0.000012409091,0.0009949111,0.000007837063],"about_ca_topic_score_codex":0.97132224,"about_ca_topic_score_gemma":0.9887243,"teacher_disagreement_score":0.028677762,"about_ca_system_score_codex":0.0078168465,"about_ca_system_score_gemma":0.005317479,"threshold_uncertainty_score":0.057693243},"labels":[],"label_agreement":null},{"id":"W3108082159","doi":"","title":"Q-BIC3 - A Québec-Bavarian international collaboration for adapting regional watershed management to climate change","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Climate change; Watershed; Environmental resource management; Environmental planning; Watershed management; Geography; Water resource management; Environmental science; Computer science; Geology; Oceanography","score_opus":0.030749668729970238,"score_gpt":0.2705679748440462,"score_spread":0.23981830611407598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108082159","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11083099,0.015276855,0.08072545,0.0900259,0.010614124,0.0046827537,0.10602222,0.009034683,0.5727871],"genre_scores_gemma":[0.24087286,0.0022966466,0.064547434,0.0058293734,0.00035085584,0.00096957304,0.032269657,0.0019356182,0.65092796],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99592125,0.0006040201,0.00010386899,0.0003587681,0.0019966739,0.0010153183],"domain_scores_gemma":[0.98179585,0.00085635576,0.00039995057,0.0007165363,0.011186867,0.0050445334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007594257,0.0012610417,0.00095594954,0.0024480077,0.004318053,0.0041183457,0.0028227055,0.002484645,0.047472186],"category_scores_gemma":[0.0062885256,0.000506691,0.00096737756,0.002953207,0.0012369697,0.0011862462,0.002965254,0.0023072886,0.004564701],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012385809,0.000640832,0.028215239,0.00021185043,0.0003168234,0.00035982337,0.0004697661,0.00691901,0.006592913,0.01535529,0.76470536,0.1749746],"study_design_scores_gemma":[0.00027652818,0.00013356467,0.065361075,0.00011113927,0.00008409393,0.00010810436,0.00073502056,0.011623089,0.002596007,0.0012015491,0.9177132,0.00005652615],"about_ca_topic_score_codex":0.9521194,"about_ca_topic_score_gemma":0.9653607,"teacher_disagreement_score":0.04788059,"about_ca_system_score_codex":0.037019856,"about_ca_system_score_gemma":0.13831468,"threshold_uncertainty_score":0.2685991},"labels":[],"label_agreement":null},{"id":"W3108359946","doi":"","title":"Solar/geomagnetic signature in climate parameters. A comparative analysis of temperature evolution in Atlantic Canada and Central-Eastern Europe","year":2012,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geomagnetism and Paleomagnetism Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earth's magnetic field; Climatology; Climate change; Geography; Environmental science; Meteorology; Oceanography; Geology; Physics","score_opus":0.0122869880041581,"score_gpt":0.2318869290292298,"score_spread":0.21959994102507172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108359946","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99732214,0.00041484224,0.00009987906,0.000031292086,0.0000031776087,0.00000338767,0.00031389476,0.000003991415,0.0018073478],"genre_scores_gemma":[0.99856997,0.00018827358,0.00008999363,0.000014475282,0.0000012278201,0.0000015786828,0.00037385387,0.0000053077733,0.0007553136],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99989045,0.000010510782,0.0000039587517,0.000026073347,0.00003419122,0.0000347862],"domain_scores_gemma":[0.9996712,0.00003519471,0.000037540896,0.000011689149,0.000180023,0.00006435676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021581048,0.00015270295,0.000254751,0.0008794156,0.00079381943,0.00075347914,0.00030637975,0.00017916133,0.0013165],"category_scores_gemma":[0.0005734239,0.00012258817,0.00021339013,0.0014531722,0.0003675214,0.00015026878,0.00037467037,0.00019229314,0.00014981697],"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":[0.00090969016,0.0000460179,0.9168667,0.000044023214,0.00024173362,0.0002033331,0.00096475414,0.0007731618,0.05216831,0.00042520475,0.0004289289,0.026928067],"study_design_scores_gemma":[0.0000013384553,0.0000049766936,0.9993118,0.0000020564485,0.00001083336,0.000021686697,0.000119934775,0.00008734432,0.00018607794,0.000011043847,0.00024105296,0.00000189133],"about_ca_topic_score_codex":0.87609583,"about_ca_topic_score_gemma":0.9325934,"teacher_disagreement_score":0.12390417,"about_ca_system_score_codex":0.0028517544,"about_ca_system_score_gemma":0.003422026,"threshold_uncertainty_score":0.2492677},"labels":[],"label_agreement":null},{"id":"W3108890868","doi":"","title":"Paleoenvironmental reconstruction of abandoned meanders in the Assomption River, Québec (Canada)","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Archaeology; Geology; Geography; Paleontology; Physical geography","score_opus":0.015500999677372947,"score_gpt":0.18586232058214044,"score_spread":0.1703613209047675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108890868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98516047,0.0009615551,0.00037268238,0.00030313747,0.000007770783,0.000032130767,0.0058069993,0.000034875222,0.007320451],"genre_scores_gemma":[0.9930565,0.0003152864,0.00062902045,0.000048444894,0.0000018070372,0.000015765056,0.0014663913,0.00001127899,0.0044556977],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998348,0.000016752536,0.000008839845,0.00004218686,0.000034787456,0.00006259019],"domain_scores_gemma":[0.99956685,0.000028605416,0.000050631857,0.000014513369,0.00027604867,0.00006324336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030145698,0.00020142662,0.00021822542,0.0021304807,0.0018253963,0.0012504583,0.000747993,0.0003640762,0.0038311528],"category_scores_gemma":[0.0005425911,0.00019728809,0.00026816537,0.003963153,0.0006839875,0.00025061338,0.0005158758,0.00032280618,0.00035696945],"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":[0.00034568293,0.00006150818,0.9042749,0.00016335197,0.00019734757,0.00060240465,0.005285238,0.005046712,0.004525209,0.0022057598,0.0060874266,0.07120452],"study_design_scores_gemma":[0.000004845586,0.0000064040405,0.9935783,0.000032189215,0.000012187925,0.00004507824,0.0009595194,0.0008081181,0.00007797911,0.000030594536,0.004437058,0.000007762115],"about_ca_topic_score_codex":0.9961351,"about_ca_topic_score_gemma":0.99871504,"teacher_disagreement_score":0.020925988,"about_ca_system_score_codex":0.020925988,"about_ca_system_score_gemma":0.013600197,"threshold_uncertainty_score":0.15182936},"labels":[],"label_agreement":null},{"id":"W3109486233","doi":"","title":"The global volume and distribution of modern groundwater","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Groundwater and Isotope Geochemistry","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":"McGill University; University of Calgary; University of Victoria","funders":"","keywords":"Groundwater; Water cycle; Environmental science; Hydrology (agriculture); Water resource management; Geology; Geotechnical engineering; Ecology","score_opus":0.017639587996513773,"score_gpt":0.23171770985361542,"score_spread":0.21407812185710165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109486233","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8845848,0.02575018,0.0073736305,0.002992544,0.00011450552,0.000027088237,0.04916641,0.0005688756,0.029421948],"genre_scores_gemma":[0.9773022,0.008463747,0.0013794738,0.00015498634,0.00007709919,0.000013683125,0.010682916,0.0000402385,0.0018855918],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998816,0.000012761551,0.000008026733,0.000049119644,0.000032120806,0.000016398382],"domain_scores_gemma":[0.9997607,0.000028449022,0.000109356806,0.000024141698,0.000056386736,0.00002098872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015902772,0.00018541835,0.00016452066,0.001277413,0.000104764826,0.0006881836,0.00018162405,0.00027891746,0.0025526625],"category_scores_gemma":[0.0004900668,0.00012937657,0.00025044498,0.0035478855,0.000259181,0.00090616464,0.0005331628,0.0001466466,0.0005357951],"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":[0.00020434981,0.000027532895,0.63347083,0.0008580337,0.0003080368,0.00027392188,0.00083322293,0.011420021,0.020529341,0.011970509,0.018192325,0.30191183],"study_design_scores_gemma":[0.000013202614,0.000079025696,0.85002184,0.00012499074,0.000089101384,0.0005130811,0.00066811865,0.004360183,0.0022473512,0.00871485,0.13313417,0.00003411622],"about_ca_topic_score_codex":0.008055504,"about_ca_topic_score_gemma":0.006581601,"teacher_disagreement_score":0.008055504,"about_ca_system_score_codex":0.00059074815,"about_ca_system_score_gemma":0.00032964823,"threshold_uncertainty_score":0.016017258},"labels":[],"label_agreement":null},{"id":"W3109721944","doi":"","title":"Differences in the Potential Hydrologic Impact of Climate Change to Athabasca and Fraser River Basins of Canada with and without Considering Shifts in Vegetation patterns Induced by Climate Change","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Climate change; Vegetation (pathology); Environmental science; Hydrology (agriculture); Physical geography; Drainage basin; Geology; Climatology; Geography; Oceanography; Medicine","score_opus":0.040206733684278226,"score_gpt":0.24940908196753844,"score_spread":0.20920234828326023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109721944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945109,0.00015067158,0.00007865487,0.000531394,0.000010806596,0.000008205409,0.0017053344,0.000012261486,0.0029917494],"genre_scores_gemma":[0.99848324,0.00009482847,0.00007926722,0.000042259242,0.000002709578,0.0000027598855,0.00048331948,0.0000036357605,0.0008081155],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972624,0.00003741433,0.000014404782,0.00004181906,0.00006365963,0.000116400166],"domain_scores_gemma":[0.9993857,0.00007618587,0.00007180244,0.000021667132,0.00030222,0.00014238241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026995206,0.0001759129,0.0001836749,0.0007431963,0.0011870096,0.0009596175,0.0005186086,0.00034250482,0.002159926],"category_scores_gemma":[0.0011992805,0.00014958644,0.00047941325,0.0014896571,0.00060585217,0.00038205236,0.0005287175,0.00033281045,0.000094648814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002505592,0.00004668207,0.97572756,0.00005290922,0.0002785432,0.00033501917,0.00078121753,0.0087437,0.002090724,0.0018576179,0.0022097111,0.0076258047],"study_design_scores_gemma":[0.0000075031007,0.000006417694,0.99484986,0.000008368782,0.00003586726,0.000032706477,0.0009425558,0.0026557979,0.00017213722,0.00013262454,0.001144434,0.000011675463],"about_ca_topic_score_codex":0.9855121,"about_ca_topic_score_gemma":0.9948344,"teacher_disagreement_score":0.014487922,"about_ca_system_score_codex":0.014327525,"about_ca_system_score_gemma":0.01323757,"threshold_uncertainty_score":0.10395396},"labels":[],"label_agreement":null},{"id":"W3110326180","doi":"","title":"Analysis of landslide development using aerial photographs and DEMs comparison, along part of the Chacoura River valley, Quebec, Canada.","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Landslide; Geology; Aerial photography; Remote sensing; Aerial photos; Geography; Archaeology; Cartography; Geomorphology","score_opus":0.016311040600259376,"score_gpt":0.2301934479011189,"score_spread":0.21388240730085953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110326180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90223205,0.0007971715,0.0013139263,0.00050756766,0.00002980726,0.00023669301,0.071563676,0.00024991014,0.023069266],"genre_scores_gemma":[0.9692552,0.00037514453,0.0028069578,0.000048095313,0.000006104948,0.000066213404,0.01816565,0.000027934357,0.009248569],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998659,0.000012911383,0.0000059387403,0.00002640436,0.00005090195,0.00003792884],"domain_scores_gemma":[0.9993691,0.000026339492,0.000039349317,0.00001675283,0.00050098234,0.000047585803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017727562,0.00028068371,0.00016032736,0.0022672391,0.0007426512,0.0005907608,0.00041354055,0.00018244034,0.0045616226],"category_scores_gemma":[0.00073724904,0.00014362205,0.0001845092,0.0038719226,0.00018944572,0.00019071567,0.00023533229,0.0002175577,0.0005087051],"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":[0.00035753366,0.00020239412,0.7826869,0.00030289852,0.00025160288,0.0006313336,0.0016209241,0.012799823,0.0050838343,0.001018205,0.046165753,0.14887871],"study_design_scores_gemma":[0.000008656171,0.000007710612,0.99031794,0.000021131098,0.000017146103,0.000031801323,0.0009317083,0.003924535,0.00021543732,0.000023149836,0.004492545,0.0000082654105],"about_ca_topic_score_codex":0.9934756,"about_ca_topic_score_gemma":0.99804085,"teacher_disagreement_score":0.011072187,"about_ca_system_score_codex":0.011072187,"about_ca_system_score_gemma":0.005605165,"threshold_uncertainty_score":0.08033472},"labels":[],"label_agreement":null},{"id":"W3110486853","doi":"","title":"Fe(II) oxidation kinetics in the North Atlantic along the 59.5° N during 2016","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Heavy metals in environment","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":"Salinity; Total organic carbon; Chemistry; Subarctic climate; Organic matter; Surface water; Kinetics; Remineralisation; Temperature salinity diagrams; Environmental chemistry; Oceanography; Environmental science; Geology; Inorganic chemistry; Environmental engineering","score_opus":0.015647866903123055,"score_gpt":0.22653134492402283,"score_spread":0.21088347802089977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110486853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990201,0.00007417419,0.00004530395,0.000013040983,0.0000048455227,0.0000023892444,0.0003317542,0.0000019724946,0.0005064023],"genre_scores_gemma":[0.9984988,0.000093676,0.00013541868,0.000013179345,0.0000033218341,0.0000036406398,0.00046346325,0.0000018381004,0.00078661676],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99994254,0.0000033547433,0.0000051585225,0.00002101032,0.000016546643,0.000011358143],"domain_scores_gemma":[0.9999275,0.0000046214254,0.000018562885,0.000003278007,0.000033881326,0.000012082948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011316291,0.00016967134,0.00017677278,0.0002891242,0.0004261197,0.0003366643,0.00011931027,0.00020419399,0.00043709413],"category_scores_gemma":[0.00010778026,0.000109843044,0.00024673293,0.00031007853,0.00014361987,0.00013742433,0.00019110851,0.00012893813,0.0001184509],"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":[0.00037252,0.000029050096,0.9311843,0.0000738156,0.000057555622,0.00028285326,0.0006540271,0.0004354438,0.0576045,0.0000548943,0.00015943912,0.009091636],"study_design_scores_gemma":[0.0000022407216,0.000025501666,0.9976332,0.000005193905,0.000011520082,0.00002330132,0.00021315784,0.00020719218,0.001279684,0.0000062903573,0.0005905154,0.0000022197273],"about_ca_topic_score_codex":0.1388872,"about_ca_topic_score_gemma":0.29335976,"teacher_disagreement_score":0.1388872,"about_ca_system_score_codex":0.0008111135,"about_ca_system_score_gemma":0.00046138148,"threshold_uncertainty_score":0.27615756},"labels":[],"label_agreement":null},{"id":"W3110586079","doi":"","title":"Flooding and climate warming in Charlevoix (Québec, Canada) between 800 and 1350 AD","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Flooding (psychology); Environmental science; Global warming; Climate change; Climatology; Atmospheric sciences; Meteorology; Geography; Geology; Oceanography","score_opus":0.023808469505322727,"score_gpt":0.2360574764740876,"score_spread":0.21224900696876486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110586079","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9855688,0.0008829909,0.000110213725,0.00093687297,0.000034759785,0.000038693048,0.006185901,0.000030081663,0.006211646],"genre_scores_gemma":[0.99104685,0.0002909583,0.00012486445,0.00016551733,0.000011674438,0.000023048007,0.002024752,0.000007870204,0.0063044885],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99983394,0.000013758555,0.000006682135,0.00003280848,0.00003157936,0.00008117133],"domain_scores_gemma":[0.9993782,0.000042153522,0.00007496361,0.000013623781,0.00031845333,0.00017265546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023371718,0.0002369841,0.00023907404,0.00080385915,0.002270918,0.0010741968,0.0007442669,0.00065616827,0.003253702],"category_scores_gemma":[0.0006822086,0.00019378825,0.00027793052,0.0018192218,0.00068047683,0.00042064078,0.0007328493,0.0007082846,0.0002740732],"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":[0.00054558984,0.000121249876,0.9552494,0.00014106606,0.00017040141,0.00050174736,0.0067798877,0.0015784582,0.002715385,0.0009661146,0.012652776,0.018577991],"study_design_scores_gemma":[0.000010055912,0.000007819164,0.9946312,0.000018544453,0.00000933382,0.000017613753,0.0015701803,0.0002485263,0.00006348378,0.000022130254,0.0033913227,0.000009748179],"about_ca_topic_score_codex":0.99783283,"about_ca_topic_score_gemma":0.99933535,"teacher_disagreement_score":0.029854676,"about_ca_system_score_codex":0.029854676,"about_ca_system_score_gemma":0.01869963,"threshold_uncertainty_score":0.21661186},"labels":[],"label_agreement":null},{"id":"W3110674386","doi":"","title":"Seismostratigraphy and Cenozoic evolution of the North- Chukchi basin and adjacent Arctic areas","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cenozoic; Geology; Arctic; Structural basin; Oceanography; The arctic; Canada Basin; Paleontology; Geography","score_opus":0.02559494931173784,"score_gpt":0.2097942770844645,"score_spread":0.18419932777272666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110674386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988601,0.000117120064,0.00002037677,0.000028478582,0.0000018647122,0.0000011929263,0.00014270819,0.0000022959616,0.00082579494],"genre_scores_gemma":[0.99931145,0.00009814278,0.00003861406,0.0000061352753,0.0000012632574,0.0000017505172,0.00015608879,0.0000016302924,0.00038494653],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999491,0.0000048554384,0.0000047348367,0.000011293292,0.0000067015785,0.00002329153],"domain_scores_gemma":[0.99979836,0.000019804738,0.000052605632,0.000009175971,0.00007532161,0.000044849334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001529008,0.00016113657,0.00012798488,0.0013974973,0.0010023415,0.0005562837,0.00027468792,0.00017738469,0.0013472679],"category_scores_gemma":[0.00034515152,0.00021259283,0.000120328965,0.0022165584,0.00046368653,0.00029550432,0.000541075,0.00019417019,0.00014363],"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":[0.00020055399,0.000028733468,0.97555506,0.000061870516,0.000054543496,0.0002674748,0.0041354243,0.0010126439,0.004546484,0.00046667145,0.00045077977,0.013219703],"study_design_scores_gemma":[0.0000018034015,0.0000046555756,0.9977841,0.000011201018,0.000010190243,0.000032567135,0.0012273046,0.00032695802,0.00008035544,0.000013923286,0.00050472707,0.0000023929085],"about_ca_topic_score_codex":0.5522512,"about_ca_topic_score_gemma":0.74029547,"teacher_disagreement_score":0.5522512,"about_ca_system_score_codex":0.001810666,"about_ca_system_score_gemma":0.0020503376,"threshold_uncertainty_score":0.9007713},"labels":[],"label_agreement":null},{"id":"W3111260635","doi":"","title":"Multi-proxy insights into last interglacial (MIS 5e) conditions in the southern Labrador Sea: Consistencies and inconsistencies","year":2013,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Interglacial; Geology; Proxy (statistics); Oceanography; Climatology; Physical geography; Geography; Quaternary; Paleontology; Computer science","score_opus":0.02833154484350518,"score_gpt":0.2525862037982806,"score_spread":0.22425465895477545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111260635","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972951,0.0005075483,0.0003938587,0.00012563875,0.000010526057,0.0000040804784,0.00078059174,0.000027497288,0.0008549797],"genre_scores_gemma":[0.9987998,0.000094469346,0.0003239118,0.000032526186,0.000008323453,0.0000038103542,0.0006633217,0.000017122142,0.00005683612],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980719,0.00062232953,0.00037846903,0.00052504,0.00019666443,0.00020552296],"domain_scores_gemma":[0.9951792,0.001906668,0.0012419189,0.0007281715,0.00077691884,0.0001671619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005896919,0.0005450067,0.00076631946,0.0047798636,0.000658133,0.00324632,0.0011376586,0.00070374744,0.00072368176],"category_scores_gemma":[0.009120167,0.00050668715,0.0007750719,0.0051415013,0.001106457,0.0018494802,0.0016186406,0.0004063009,0.00015193665],"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":[0.00027040765,0.00002845719,0.98103255,0.00007027308,0.00081064337,0.00008833894,0.0012503415,0.004212681,0.0022835324,0.00045789816,0.000324418,0.009170541],"study_design_scores_gemma":[0.000014516897,0.000016779282,0.99326754,0.000052232255,0.00021857937,0.000034875477,0.0013493088,0.0035622804,0.0004982191,0.00021289887,0.0007484813,0.000024294124],"about_ca_topic_score_codex":0.095360965,"about_ca_topic_score_gemma":0.11694446,"teacher_disagreement_score":0.095360965,"about_ca_system_score_codex":0.001676481,"about_ca_system_score_gemma":0.00084908586,"threshold_uncertainty_score":0.1896118},"labels":[],"label_agreement":null},{"id":"W3112102947","doi":"","title":"Using CloudSat-CPR retrievals to estimate snow accumulation in the Canadian Arctic","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Snow; Environmental science; Climatology; Arctic; Meteorology; The arctic; Remote sensing; Geography; Oceanography; Geology","score_opus":0.11067547511341384,"score_gpt":0.3294663782773803,"score_spread":0.21879090316396643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112102947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98571026,0.00064004963,0.0017653462,0.0002010484,0.00004830461,0.000037715618,0.0057216096,0.0002646858,0.0056110024],"genre_scores_gemma":[0.99067336,0.0003169628,0.0032026996,0.000039240873,0.000012426459,0.000010915352,0.0039669843,0.000035078476,0.0017423214],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996748,0.00001563317,0.000015013155,0.00007239426,0.0001303722,0.00009177414],"domain_scores_gemma":[0.99923944,0.00005188347,0.00004934032,0.000024705794,0.00056666124,0.00006806854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006300248,0.00068125647,0.0003883807,0.0017583434,0.0016136112,0.0015670193,0.00083875307,0.00043512028,0.0010069957],"category_scores_gemma":[0.0012782332,0.00035016309,0.0005158075,0.0022561722,0.00036059367,0.0006707391,0.00042281832,0.000425844,0.00033901806],"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":[0.0010378968,0.00037863737,0.68037325,0.00034117312,0.0008829151,0.00031548945,0.00079976907,0.11320639,0.033508766,0.0010178095,0.010332848,0.1578051],"study_design_scores_gemma":[0.00011416392,0.000036799516,0.8228428,0.00009174904,0.0002668658,0.000038359125,0.0005812407,0.16480589,0.00500502,0.00017396038,0.0059478953,0.000095246905],"about_ca_topic_score_codex":0.9896988,"about_ca_topic_score_gemma":0.99279153,"teacher_disagreement_score":0.010301173,"about_ca_system_score_codex":0.00986127,"about_ca_system_score_gemma":0.014160399,"threshold_uncertainty_score":0.07154888},"labels":[],"label_agreement":null},{"id":"W3112159886","doi":"","title":"Evaluation of Snow Water Equivalent Hindcasts in the Canadian Seasonal to Interannual Prediction System","year":2014,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Climatology; Environmental science; Snow; Meteorology; Water equivalent; Seasonality; Geography; Geology; Mathematics; Statistics","score_opus":0.05445883284464758,"score_gpt":0.25885232518566226,"score_spread":0.20439349234101467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112159886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97882324,0.00031707124,0.0052860756,0.0007331252,0.00017139016,0.00014498192,0.0073285648,0.0008596717,0.0063358364],"genre_scores_gemma":[0.9850582,0.00011877015,0.0061310753,0.00007734464,0.000018273842,0.000025764843,0.0069007236,0.000074773496,0.001595015],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914396,0.0001949892,0.000050920284,0.0002025893,0.0002675822,0.0001398675],"domain_scores_gemma":[0.99620545,0.00082456454,0.00014784417,0.00017437487,0.0023015651,0.00034618282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003892195,0.0008356065,0.00044158954,0.00066125835,0.0013725635,0.0014749265,0.0013317544,0.00056592014,0.0016125422],"category_scores_gemma":[0.0073684547,0.00031811933,0.00038020805,0.0009279794,0.00033723481,0.0009183555,0.0006488251,0.0006172618,0.00027725485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002792669,0.00052724115,0.12789498,0.00018935406,0.00044362005,0.00017262256,0.0002607388,0.7572247,0.007149625,0.0017103135,0.0116459085,0.089988224],"study_design_scores_gemma":[0.00020030816,0.00010924415,0.056015868,0.000024397597,0.000098164724,0.000013865305,0.00017491929,0.9381464,0.0027732186,0.00016743958,0.0022335073,0.00004256847],"about_ca_topic_score_codex":0.9411896,"about_ca_topic_score_gemma":0.93793976,"teacher_disagreement_score":0.9928738,"about_ca_system_score_codex":0.007126211,"about_ca_system_score_gemma":0.014233132,"threshold_uncertainty_score":0.11831349},"labels":[],"label_agreement":null},{"id":"W3112522617","doi":"","title":"Homogenization of Canadian hourly wind speed data","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Homogenization (climate); Meteorology; Wind speed; Environmental science; Climatology; Geology; Geography","score_opus":0.03780289858556506,"score_gpt":0.23444021123476944,"score_spread":0.19663731264920437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112522617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8618793,0.0010923372,0.018825516,0.001704412,0.0004741072,0.00028358522,0.08504662,0.0012293337,0.029464798],"genre_scores_gemma":[0.8883203,0.0005062323,0.009178498,0.0002204099,0.000080082165,0.000097594246,0.095030665,0.0003993061,0.006167008],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99797994,0.00018448247,0.00011304451,0.00056586246,0.00069803663,0.0004587525],"domain_scores_gemma":[0.9956077,0.00039561893,0.00013163468,0.0004880485,0.0032414943,0.00013548257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017845486,0.00043520535,0.00057903194,0.004421039,0.0018801715,0.0018873536,0.0008585349,0.0004437706,0.0037108578],"category_scores_gemma":[0.0087187085,0.00036236114,0.0010012687,0.010014681,0.00047812905,0.0007069235,0.0009208521,0.00065234664,0.00087807584],"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":[0.0008751292,0.00018175351,0.43985996,0.00041227485,0.0009432023,0.0005898729,0.001706577,0.18292831,0.010150133,0.009861714,0.11810384,0.23438717],"study_design_scores_gemma":[0.000055605637,0.00002466457,0.8433567,0.00007703508,0.00017405846,0.000085079424,0.001190281,0.09322187,0.00229922,0.0009238821,0.058487244,0.0001044155],"about_ca_topic_score_codex":0.96969986,"about_ca_topic_score_gemma":0.97946393,"teacher_disagreement_score":0.03030014,"about_ca_system_score_codex":0.01015382,"about_ca_system_score_gemma":0.0146329235,"threshold_uncertainty_score":0.0736714},"labels":[],"label_agreement":null},{"id":"W3112644705","doi":"","title":"The AMOC components off Newfoundland and in the eastern Atlantic","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Oceanography; Geology","score_opus":0.020939455662613394,"score_gpt":0.23052371527403348,"score_spread":0.20958425961142008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112644705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8392317,0.0007795576,0.0011743605,0.0019795706,0.00019294383,0.00008749636,0.0012306442,0.00021482768,0.15510882],"genre_scores_gemma":[0.8755313,0.00041370536,0.0014593716,0.00048667833,0.000018190254,0.00002543828,0.00084874564,0.000110718036,0.12110595],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897087,0.000040272822,0.000016833821,0.000097211596,0.0003116728,0.0005631804],"domain_scores_gemma":[0.9985593,0.00008943654,0.00012552837,0.00007953679,0.00071725796,0.00042895382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039923307,0.00033124138,0.00018336378,0.00084127,0.0050429516,0.0035294676,0.0005826462,0.0005403684,0.010903144],"category_scores_gemma":[0.0010862423,0.00031500237,0.00023442083,0.0013166713,0.001648987,0.0008941772,0.0017051933,0.00080455653,0.0013878655],"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":[0.0014386253,0.0003159916,0.56571585,0.0003213785,0.00015913442,0.0037459882,0.015872145,0.0036504567,0.025954625,0.013963696,0.080338925,0.28852317],"study_design_scores_gemma":[0.000014954438,0.00015065297,0.77551883,0.00013368692,0.00003669256,0.0003112553,0.02651026,0.00082557346,0.0021910942,0.00025543146,0.19401228,0.000039377832],"about_ca_topic_score_codex":0.9179715,"about_ca_topic_score_gemma":0.9825404,"teacher_disagreement_score":0.08202851,"about_ca_system_score_codex":0.011774586,"about_ca_system_score_gemma":0.014124984,"threshold_uncertainty_score":0.16502315},"labels":[],"label_agreement":null},{"id":"W3112799416","doi":"","title":"Inter-comparison of MAX-DOAS Retrieved Vertical Profiles of Aerosol Extinction, SO2 and NO2 in the Alberta Oil Sands with LIDAR Data and GEM-MACH Air Quality Model.","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Aerosol; Environmental science; Lidar; Air quality index; Remote sensing; Meteorology; Atmospheric sciences; Extinction (optical mineralogy); Geology; Mineralogy; Geography","score_opus":0.03470323739569989,"score_gpt":0.2798997521671368,"score_spread":0.24519651477143692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112799416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9643529,0.0004221608,0.0023287225,0.00018361454,0.000119092554,0.000043752083,0.020280119,0.0009322457,0.011337399],"genre_scores_gemma":[0.9846385,0.000087609624,0.0024426156,0.00005319958,0.0000102712,0.0000151081285,0.010690687,0.00006105647,0.0020008418],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976593,0.000014463031,0.00001223866,0.00006644079,0.00008707646,0.000053724743],"domain_scores_gemma":[0.999508,0.0000486746,0.00003167238,0.000043453154,0.00031895458,0.000049178147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061348855,0.00053839857,0.00023178496,0.00086656166,0.00054484385,0.0006897782,0.0006388622,0.0005088232,0.0021100421],"category_scores_gemma":[0.0007260854,0.00028902222,0.0003915818,0.001134148,0.00027047787,0.0005141204,0.00048077843,0.00033109647,0.0006989597],"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":[0.004702977,0.0006286626,0.76454085,0.00030987058,0.00083941343,0.0005422163,0.0005541416,0.05455409,0.06665121,0.0014002292,0.026095567,0.079180755],"study_design_scores_gemma":[0.000049152753,0.000029388599,0.9707748,0.000015038326,0.00006908196,0.000037714337,0.00026078467,0.019344281,0.005356639,0.0001278121,0.003910284,0.000025065156],"about_ca_topic_score_codex":0.6113317,"about_ca_topic_score_gemma":0.6857987,"teacher_disagreement_score":0.3886683,"about_ca_system_score_codex":0.00198539,"about_ca_system_score_gemma":0.0018405758,"threshold_uncertainty_score":0.7819145},"labels":[],"label_agreement":null},{"id":"W3113282078","doi":"","title":"Spatial Patterns of Snow Accumulation across Belcher Glacier, Devon Island, Nunavut, Canada","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Glacier; Snow; Physical geography; Geology; Snow line; Geography; Climatology; Snow cover; Geomorphology","score_opus":0.03612048491400676,"score_gpt":0.2657315981835814,"score_spread":0.22961111326957462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113282078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98799163,0.00068081875,0.00015692916,0.00020921524,0.000014527859,0.000040635503,0.005555205,0.000037490558,0.005313713],"genre_scores_gemma":[0.99277496,0.00036701452,0.0004684076,0.000042085907,0.000005048342,0.000023068696,0.0023234622,0.000013434234,0.003982564],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997131,0.00002358725,0.000017701905,0.00007771262,0.0000789712,0.000088739085],"domain_scores_gemma":[0.99866116,0.0001088933,0.00012348739,0.000034304034,0.00086785696,0.00020427779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003586224,0.00024405381,0.00036122501,0.0024932553,0.0024527959,0.0011843144,0.0010124288,0.00026611556,0.0025240353],"category_scores_gemma":[0.00095861696,0.00026947918,0.00030939106,0.0031385648,0.0006760361,0.00037451793,0.0007710973,0.00033228545,0.00030740674],"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":[0.00028019163,0.000043115568,0.97628355,0.00009293754,0.00013624596,0.00016916526,0.002960403,0.0010043909,0.0022368352,0.00037331533,0.0038034339,0.012616347],"study_design_scores_gemma":[0.0000059370714,0.0000064723595,0.9968746,0.000025092448,0.000011305458,0.000024086223,0.0014756564,0.00033287093,0.00009790812,0.000019162177,0.0011187976,0.000007995492],"about_ca_topic_score_codex":0.99440163,"about_ca_topic_score_gemma":0.99877495,"teacher_disagreement_score":0.014779754,"about_ca_system_score_codex":0.014779754,"about_ca_system_score_gemma":0.014469847,"threshold_uncertainty_score":0.10723513},"labels":[],"label_agreement":null},{"id":"W3113673839","doi":"","title":"Numerical modelling of coupled groundwater flow and permafrost thaw under climate change: Applications to monitored field sites at Umiujaq (Nunavik, Quebec) and Iqaluit (Nunavut), Canada","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Permafrost; Groundwater; Climate change; Environmental science; Hydrology (agriculture); Groundwater flow; Arctic; Field (mathematics); Geography; Environmental resource management; Physical geography; Environmental protection; Geology; Oceanography; Aquifer; Geotechnical engineering","score_opus":0.051581283687270454,"score_gpt":0.24901892446689144,"score_spread":0.197437640779621,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113673839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99268156,0.00007545946,0.0031718395,0.00018828963,0.00001750206,0.000058276863,0.0010713497,0.0001960909,0.0025396482],"genre_scores_gemma":[0.99624205,0.00004705186,0.0022718483,0.00002425205,0.000004794994,0.000041500163,0.00038945864,0.00002124336,0.000957827],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998282,0.000038344962,0.000010813455,0.000052735944,0.000024441393,0.00004538568],"domain_scores_gemma":[0.9992514,0.00040553726,0.000051012525,0.000038238548,0.0001759943,0.000077863406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046314628,0.00047383673,0.00061879004,0.00060001435,0.0014492866,0.0016276428,0.0020478356,0.0015345666,0.0022474034],"category_scores_gemma":[0.0017049934,0.0006080015,0.0007134206,0.0010710867,0.0011862405,0.00064974773,0.0006036513,0.0007122671,0.00015033098],"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":[0.000059916427,0.00009383296,0.011693648,0.000016133501,0.000025748706,0.00004503125,0.00006227934,0.984768,0.00057643023,0.00031397227,0.00025465852,0.0020904865],"study_design_scores_gemma":[0.00003165953,0.000010222556,0.004286633,0.0000021418857,0.0000052860423,0.0000032549626,0.000041614756,0.9953147,0.0001308154,0.00008103572,0.00008353268,0.0000089809855],"about_ca_topic_score_codex":0.91052514,"about_ca_topic_score_gemma":0.88929176,"teacher_disagreement_score":0.08947486,"about_ca_system_score_codex":0.011028493,"about_ca_system_score_gemma":0.0053477967,"threshold_uncertainty_score":0.18000352},"labels":[],"label_agreement":null},{"id":"W3113736220","doi":"","title":"Seasonal climate conditions during the Medieval Warm Period and the Little Ice Age in Canada","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Period (music); Little ice age; Climatology; Ice age; Physical geography; Geography; Geology; Glacier; Glacial period","score_opus":0.016098670991767303,"score_gpt":0.2321413088052195,"score_spread":0.21604263781345218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113736220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99494666,0.00027899467,0.000024620967,0.000281336,0.000012601223,0.0000081266635,0.0021403066,0.000007070169,0.0023003893],"genre_scores_gemma":[0.9975969,0.00018056686,0.000027978385,0.000058665933,0.0000067191554,0.0000049902246,0.0011273172,0.0000046616765,0.0009920925],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998018,0.0000111626105,0.0000073250326,0.000030093068,0.00003916975,0.00011041768],"domain_scores_gemma":[0.99913543,0.000060810187,0.00009415,0.000016141303,0.00037303084,0.0003205488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027965746,0.0002019836,0.0003351705,0.00085167796,0.0019544836,0.0012416567,0.00061819324,0.0004599123,0.0021122291],"category_scores_gemma":[0.001021368,0.00015976303,0.0002712252,0.0017178261,0.00064306357,0.00040877526,0.00074546784,0.00042452995,0.00019546939],"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":[0.0004961106,0.000055199092,0.9799903,0.0000657788,0.00011359826,0.00022931267,0.005949028,0.0006750057,0.0024528403,0.00039017448,0.0036628498,0.005919757],"study_design_scores_gemma":[0.0000027696012,0.0000047308176,0.99670875,0.000008005208,0.000008245225,0.0000104413275,0.0021518467,0.00008956217,0.000044747718,0.000010766392,0.0009555635,0.0000046295745],"about_ca_topic_score_codex":0.99076474,"about_ca_topic_score_gemma":0.99745995,"teacher_disagreement_score":0.015789762,"about_ca_system_score_codex":0.015789762,"about_ca_system_score_gemma":0.015063541,"threshold_uncertainty_score":0.11456329},"labels":[],"label_agreement":null},{"id":"W3113765781","doi":"","title":"Past, present and future slope dynamics under changing climate and society: case studies in Nunavik, northern Québec, Canada","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Climate change; Geography; Dynamics (music); Political science; Physical geography; Sociology; Oceanography; Geology","score_opus":0.011512584542296872,"score_gpt":0.23385707924335075,"score_spread":0.22234449470105389,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113765781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993818,0.00032461897,0.00013094296,0.0003592177,0.000006065161,0.0000619899,0.0010045348,0.000009141853,0.0042855046],"genre_scores_gemma":[0.9942095,0.00035022275,0.00033877423,0.000083987514,0.0000024737478,0.000028449227,0.00051495567,0.000006642315,0.004465025],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993181,0.00013274413,0.000020951236,0.000065576256,0.000103667146,0.0003589537],"domain_scores_gemma":[0.99878794,0.00020260965,0.00013030747,0.00004605915,0.0004865266,0.00034667266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000638543,0.0004105551,0.0003947075,0.0011537793,0.0071176365,0.0025057397,0.0020786407,0.0011155258,0.003424139],"category_scores_gemma":[0.0016200213,0.00032666646,0.0005420948,0.0045262827,0.0020486074,0.0008530002,0.0012429233,0.0010435455,0.0003393741],"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":[0.0007018468,0.0008556908,0.88763696,0.00030230335,0.00025805715,0.008001618,0.042169195,0.013037547,0.0018346759,0.0031287589,0.008923559,0.03314978],"study_design_scores_gemma":[0.000067958084,0.00016585636,0.8438959,0.00015991312,0.00010251221,0.0005757573,0.13615003,0.008494235,0.00030548332,0.0003587263,0.00963122,0.00009231393],"about_ca_topic_score_codex":0.998162,"about_ca_topic_score_gemma":0.999574,"teacher_disagreement_score":0.05982784,"about_ca_system_score_codex":0.05982784,"about_ca_system_score_gemma":0.029342571,"threshold_uncertainty_score":0.4340834},"labels":[],"label_agreement":null},{"id":"W3115313317","doi":"","title":"Suspended sediment dynamics in the forefield of the rapidly deglaciating Castle Creek Glacier, British Columbia","year":2013,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Glacier; Geology; Sediment; Hydrology (agriculture); Geomorphology; Archaeology; Geography; Geotechnical engineering","score_opus":0.021254513442400338,"score_gpt":0.2120723588096861,"score_spread":0.19081784536728577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3115313317","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976495,0.00012338278,0.000022633425,0.0001375761,0.0000056615568,0.000009710454,0.00052713096,0.0000057428106,0.0015185932],"genre_scores_gemma":[0.99604815,0.00017592721,0.000071366776,0.00007621119,0.000002701555,0.0000075828643,0.00062154786,0.000005761504,0.0029907054],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981815,0.00001042495,0.0000069137204,0.00003177237,0.000049686256,0.000083057],"domain_scores_gemma":[0.9993106,0.00003939455,0.00005515186,0.000014022708,0.00039617572,0.0001846145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019359103,0.00031709406,0.00041055022,0.0011056046,0.0038916494,0.0017654181,0.0011279124,0.000616747,0.0023914475],"category_scores_gemma":[0.00080281304,0.00035652646,0.0001663172,0.0022560325,0.00092007994,0.0004180392,0.0010945069,0.0008100935,0.00041253003],"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":[0.00040593144,0.00016930293,0.9617538,0.000077333694,0.000066297776,0.0010490196,0.0072828373,0.0010775852,0.0033912973,0.00029236692,0.0045886333,0.019845717],"study_design_scores_gemma":[0.000010374774,0.000012871229,0.99265444,0.000024530935,0.000010982352,0.000041170104,0.005205764,0.00052652415,0.000118454445,0.000017969596,0.0013677983,0.000009071963],"about_ca_topic_score_codex":0.9950536,"about_ca_topic_score_gemma":0.9987018,"teacher_disagreement_score":0.017495437,"about_ca_system_score_codex":0.017495437,"about_ca_system_score_gemma":0.014328993,"threshold_uncertainty_score":0.12693888},"labels":[],"label_agreement":null},{"id":"W3115622447","doi":"","title":"Trajectory of carbon accumulation in restored Canadian peatlands","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Peat; Carbon fibers; Trajectory; Environmental science; Chemistry; Atmospheric sciences; Geology; Ecology; Mathematics; Physics; Biology","score_opus":0.02281962555759239,"score_gpt":0.2507270064219093,"score_spread":0.22790738086431692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3115622447","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99476564,0.00013162525,0.00011243749,0.00019250314,0.000005038445,0.000008606313,0.0020597645,0.000019291361,0.00270502],"genre_scores_gemma":[0.9969337,0.00008640825,0.00014206179,0.000016580607,8.0843915e-7,0.000004553492,0.00069553446,0.0000035508656,0.0021167146],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988914,0.0000046798264,0.00000304345,0.000023363165,0.000026985816,0.000052779156],"domain_scores_gemma":[0.99956554,0.000021472262,0.000044392258,0.000011204934,0.0002831914,0.00007406253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017847336,0.00019975846,0.00015553457,0.00083646487,0.0012613942,0.0009751906,0.0003473021,0.0004625665,0.0021433756],"category_scores_gemma":[0.00059778104,0.00014833621,0.00023937899,0.0010123844,0.00045904805,0.000338345,0.0005202437,0.00039126593,0.00021295191],"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":[0.0008289393,0.0001242581,0.9369366,0.00006481359,0.00010545095,0.00023474253,0.0016635795,0.01834335,0.009108686,0.0023737226,0.005384272,0.024831602],"study_design_scores_gemma":[0.0000043493974,0.000016044829,0.9938328,0.0000105493855,0.0000074823893,0.000016576265,0.0004989249,0.0032398996,0.00035707737,0.00006751326,0.001937341,0.000011489734],"about_ca_topic_score_codex":0.9879269,"about_ca_topic_score_gemma":0.99408865,"teacher_disagreement_score":0.017743636,"about_ca_system_score_codex":0.017743636,"about_ca_system_score_gemma":0.013159616,"threshold_uncertainty_score":0.12873966},"labels":[],"label_agreement":null},{"id":"W3116151193","doi":"","title":"Idealized Numerical Simulations of Ontario's Grand River Plume","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Plume; Environmental science; Hydrology (agriculture); Geology; Meteorology; Geography","score_opus":0.02171488871697429,"score_gpt":0.25396939174389765,"score_spread":0.23225450302692335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3116151193","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92500556,0.00023844455,0.005207315,0.0014348717,0.000091902875,0.000070918155,0.0023685659,0.00018079973,0.065401666],"genre_scores_gemma":[0.9933913,0.00007896233,0.0015306451,0.000076308585,0.000011777739,0.00003283062,0.00043000586,0.000024954265,0.004423222],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997807,0.000043808457,0.000011052676,0.000028078699,0.00005037247,0.00008587109],"domain_scores_gemma":[0.9993319,0.00028498625,0.00006184008,0.000036707057,0.00016384544,0.00012076978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026043958,0.0004064979,0.0005454924,0.00058040087,0.0013727882,0.0013325531,0.001437611,0.0020229965,0.0042671543],"category_scores_gemma":[0.0018028436,0.00049979653,0.0005286557,0.000899311,0.0013686091,0.00056182756,0.0007401088,0.00082974264,0.00021720782],"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":[0.000066034874,0.00005261762,0.0025879855,0.000017310724,0.000010416505,0.000108420296,0.00007764294,0.991735,0.00023241014,0.003684673,0.00080499885,0.0006225271],"study_design_scores_gemma":[0.000062044775,0.000015158092,0.0014712787,0.0000061030833,0.000006469414,0.000008921042,0.00010255916,0.9970702,0.00007760939,0.0007035078,0.00046015866,0.000016006046],"about_ca_topic_score_codex":0.70003366,"about_ca_topic_score_gemma":0.5933694,"teacher_disagreement_score":0.29996634,"about_ca_system_score_codex":0.0060283,"about_ca_system_score_gemma":0.005864313,"threshold_uncertainty_score":0.6034658},"labels":[],"label_agreement":null},{"id":"W3116732600","doi":"","title":"Postglacial relative sea-level histories along the Northeastern Canadian coastline","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Oceanography; Geography; Sea level; Physical geography","score_opus":0.05273982595540476,"score_gpt":0.2623987496515166,"score_spread":0.20965892369611183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3116732600","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98821986,0.0005719415,0.000089857,0.00020681176,0.000008827406,0.0000056595377,0.005214054,0.0000143820835,0.0056684995],"genre_scores_gemma":[0.9939336,0.00033996685,0.00011068298,0.000028544151,0.0000015770277,0.0000036827214,0.002897474,0.0000068912095,0.0026776944],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998067,0.000009755154,0.000009626895,0.000045253226,0.000046761415,0.00008188207],"domain_scores_gemma":[0.9988508,0.00005136898,0.00008347603,0.000025928914,0.00082115777,0.00016726866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003868968,0.00020003482,0.00022953471,0.0017764795,0.0024367198,0.0007927536,0.00058731285,0.00029351635,0.0041542137],"category_scores_gemma":[0.0011544494,0.00017872216,0.0003064788,0.0033679567,0.00046691103,0.00039613424,0.0005524924,0.00033635518,0.00036040362],"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":[0.00036755434,0.000021956475,0.96957314,0.00005424773,0.000120151315,0.00010347374,0.0026851527,0.0013500354,0.001554059,0.0008560953,0.0041103116,0.019203726],"study_design_scores_gemma":[0.0000020208354,0.0000034772784,0.99773383,0.000011057483,0.000011706383,0.0000127222065,0.0006504623,0.00017563821,0.000045965546,0.000018061875,0.001330389,0.0000046356263],"about_ca_topic_score_codex":0.99531496,"about_ca_topic_score_gemma":0.9989016,"teacher_disagreement_score":0.013397847,"about_ca_system_score_codex":0.013397847,"about_ca_system_score_gemma":0.013553044,"threshold_uncertainty_score":0.09720868},"labels":[],"label_agreement":null},{"id":"W3117398722","doi":"","title":"Joint occurrence of daily temperature and precipitation extreme events over Canada","year":2014,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Precipitation; Joint (building); Climatology; Environmental science; Geography; Meteorology; Geology; Engineering","score_opus":0.03640625437723114,"score_gpt":0.2251869972096237,"score_spread":0.18878074283239257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3117398722","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98899686,0.00028445275,0.00013432035,0.00020468677,0.000012428592,0.000009505859,0.0078003076,0.000031056952,0.0025264707],"genre_scores_gemma":[0.9957997,0.00017169335,0.00007174869,0.000020039352,0.000004136861,0.000003170447,0.0030364308,0.0000056423787,0.0008874364],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996006,0.000025961348,0.000027879036,0.000070499824,0.00015471295,0.00012042084],"domain_scores_gemma":[0.99827886,0.00018769098,0.00021714474,0.000049068974,0.0009636677,0.0003035346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035453183,0.00021693132,0.00035493664,0.0012164945,0.0010686844,0.0013723131,0.00047574728,0.00036465315,0.0018785918],"category_scores_gemma":[0.0018027698,0.00025156833,0.0004657522,0.0024967503,0.00036355006,0.0004065688,0.0007788319,0.00039500164,0.00017286833],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020162555,0.00002390403,0.98505694,0.000029657322,0.00023598979,0.0001688202,0.0003097336,0.005093526,0.0006411394,0.00036884184,0.003127803,0.0047419393],"study_design_scores_gemma":[0.000005625637,0.000004652702,0.9963831,0.0000059320732,0.000019811197,0.00002014182,0.00029187344,0.0022822195,0.000068776026,0.000028744196,0.00087883614,0.000010306122],"about_ca_topic_score_codex":0.9919269,"about_ca_topic_score_gemma":0.9944936,"teacher_disagreement_score":0.010864373,"about_ca_system_score_codex":0.010864373,"about_ca_system_score_gemma":0.013380866,"threshold_uncertainty_score":0.078826964},"labels":[],"label_agreement":null},{"id":"W3117860024","doi":"","title":"Simulation of aerosol from the 2017 wildfire events in Canada above Europ","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Aerosol; Meteorology; Environmental science; Geography; Climatology; Geology","score_opus":0.017701083603214856,"score_gpt":0.23609877253856693,"score_spread":0.21839768893535208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3117860024","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98366076,0.00019824872,0.0009259254,0.000729533,0.0001323198,0.000042851403,0.0032697723,0.00024700796,0.01079358],"genre_scores_gemma":[0.995644,0.00008038446,0.0006676867,0.0000868213,0.000015941012,0.00001472653,0.0016940768,0.000046217167,0.0017502187],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997327,0.00002131954,0.000009919388,0.00004017321,0.00006559545,0.00013036742],"domain_scores_gemma":[0.99937075,0.00015766961,0.000031195297,0.000029465424,0.00022933706,0.0001816139],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003464106,0.0009351671,0.0007727864,0.00055273174,0.0018121378,0.0013520946,0.0018654624,0.0026750036,0.0032225882],"category_scores_gemma":[0.0010785557,0.0005918037,0.0011104726,0.0008281194,0.0010159144,0.0006118028,0.00075936515,0.0014388751,0.00031156192],"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":[0.00026950557,0.00023556763,0.016614752,0.00004925744,0.000094525276,0.00032640764,0.00008963404,0.9741644,0.0013152648,0.0012073463,0.0031606553,0.0024725928],"study_design_scores_gemma":[0.00021745909,0.000050613027,0.01495425,0.000015336014,0.000039000653,0.00003110714,0.00017337697,0.9822266,0.0006884241,0.00025496993,0.001303043,0.000045923156],"about_ca_topic_score_codex":0.92981285,"about_ca_topic_score_gemma":0.87969804,"teacher_disagreement_score":0.07018715,"about_ca_system_score_codex":0.0075889034,"about_ca_system_score_gemma":0.008792506,"threshold_uncertainty_score":0.14120096},"labels":[],"label_agreement":null},{"id":"W3118069473","doi":"","title":"Development of the GEM-MACH-FireWork System: An Air Quality Model with On-line Wildfire Emissions within the Canadian Operational Air Quality Forecast System","year":2014,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Air quality index; Environmental science; Meteorology; Quality (philosophy); Mach number; Line (geometry); Aeronautics; Engineering; Geography; Aerospace engineering; Mathematics","score_opus":0.045845684119146884,"score_gpt":0.27710843731185003,"score_spread":0.23126275319270315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118069473","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62375057,0.00048239547,0.24013722,0.002163253,0.0009482137,0.0012537942,0.04286662,0.04307843,0.04531951],"genre_scores_gemma":[0.89562017,0.00019618373,0.08236263,0.00023104833,0.00006831651,0.00026933418,0.012617963,0.0014479823,0.007186334],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967587,0.000054078944,0.000017503999,0.000069012065,0.00011332964,0.000070155496],"domain_scores_gemma":[0.99911124,0.00012154665,0.00003741503,0.00007152797,0.00052095455,0.0001373466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008727213,0.0014420142,0.0010492172,0.00050217635,0.0010919808,0.0010443144,0.004171752,0.001143917,0.0051787794],"category_scores_gemma":[0.0022892721,0.00084410177,0.0010186295,0.0006052704,0.0005222537,0.00131461,0.0007437096,0.0019518306,0.0012485576],"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":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008655279,0.00008632363,0.00326469,0.000036187535,0.000052011794,0.00004737101,0.000035626566,0.9815756,0.0007944239,0.00087566784,0.0051793708,0.007966245],"study_design_scores_gemma":[0.000046818554,0.00000877183,0.00068874203,0.000003412018,0.00001160992,0.0000032043286,0.000007824151,0.99760985,0.00038785767,0.00016294766,0.0010526116,0.000016321275],"about_ca_topic_score_codex":0.8252013,"about_ca_topic_score_gemma":0.69634724,"teacher_disagreement_score":0.9952581,"about_ca_system_score_codex":0.004741918,"about_ca_system_score_gemma":0.009702312,"threshold_uncertainty_score":0.35165626},"labels":[],"label_agreement":null},{"id":"W3118690456","doi":"","title":"Effects of cold electron number density variation on whistler-mode wave growth","year":2014,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Ionosphere and magnetosphere dynamics","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":"Memorial University of Newfoundland","funders":"","keywords":"Whistler; Physics; Electron; Electron density; Wavenumber; Amplitude; Atomic physics; Growth rate; Plasma; Nonlinear system; Mathematics; Quantum mechanics","score_opus":0.005640147253153279,"score_gpt":0.22016596205298958,"score_spread":0.2145258147998363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118690456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99591124,0.000117543,0.0016904076,0.00006254771,0.000007171893,0.000008852178,0.00011406715,0.00006940926,0.0020188955],"genre_scores_gemma":[0.9993063,0.00004695263,0.0003565733,0.000008330621,0.0000022687655,0.000005242205,0.000055897814,0.000019936968,0.00019861071],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998807,0.000030311907,0.0000059262966,0.000022687635,0.000021396312,0.00003885491],"domain_scores_gemma":[0.99740547,0.0019042405,0.00026159486,0.00013389083,0.00015647124,0.0001383258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044376001,0.00048665004,0.0002986077,0.0003765591,0.00029597714,0.00054610026,0.00026394427,0.00035814,0.0009889025],"category_scores_gemma":[0.0036343494,0.00020695398,0.0003660734,0.00029062817,0.00050096796,0.0005777496,0.0005188885,0.00042530382,0.00014718862],"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":[0.0016861173,0.00017348366,0.08373951,0.00021970413,0.00014571137,0.0012424245,0.00053764286,0.53792685,0.35453662,0.004058417,0.0007017232,0.015031736],"study_design_scores_gemma":[0.000073670795,0.00041983696,0.0591416,0.00003012374,0.00006356157,0.00021031837,0.00025455878,0.8079389,0.12942627,0.0015236756,0.0008363075,0.00008118609],"about_ca_topic_score_codex":0.004248178,"about_ca_topic_score_gemma":0.0023104246,"teacher_disagreement_score":0.004248178,"about_ca_system_score_codex":0.00033164676,"about_ca_system_score_gemma":0.0001954733,"threshold_uncertainty_score":0.008446872},"labels":[],"label_agreement":null},{"id":"W3118873629","doi":"","title":"Significance of first-order faults in folding mechanically isotropic layers: evidence from the Sudbury Basin, Canada.","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological and Geochemical Analysis","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":"Geology; Slip (aerodynamics); Fold (higher-order function); Geometry; Anisotropy; Crust; Isotropy; Brittleness; Structural basin; Kinematics; Petrology; Fault (geology); Seismology; Materials science; Geophysics; Geomorphology; Composite material","score_opus":0.02753505939302439,"score_gpt":0.21653750507940253,"score_spread":0.18900244568637814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118873629","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98955184,0.00062543014,0.0003269567,0.00013117031,0.0000068185877,0.000030829557,0.0031264564,0.000027602773,0.0061729457],"genre_scores_gemma":[0.9959533,0.00034546468,0.0009030793,0.00003917692,0.0000024563692,0.00000860217,0.0012337951,0.000012030015,0.0015021265],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996445,0.000013016147,0.000015127156,0.0000755634,0.00013308415,0.00011867516],"domain_scores_gemma":[0.9990447,0.000050847728,0.00012958606,0.00003245576,0.00062715524,0.000115219395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024257165,0.0003314464,0.00033840616,0.003559538,0.0036386447,0.0017925347,0.00072627293,0.00037803323,0.0025268171],"category_scores_gemma":[0.0009555288,0.00029276233,0.00025989563,0.004305416,0.0013123763,0.00029590743,0.0009268987,0.00033713406,0.0003579678],"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":[0.00014856823,0.000032946955,0.9446087,0.00013595333,0.00008785662,0.0006039671,0.0031866755,0.00094101863,0.017535644,0.0007989171,0.0013688288,0.030550972],"study_design_scores_gemma":[0.000004865883,0.000006163407,0.99477684,0.00003301217,0.000014612058,0.00007750417,0.0015471282,0.00046996176,0.0008323136,0.00008359908,0.0021427935,0.00001125257],"about_ca_topic_score_codex":0.98991466,"about_ca_topic_score_gemma":0.99646974,"teacher_disagreement_score":0.012248553,"about_ca_system_score_codex":0.012248553,"about_ca_system_score_gemma":0.011378732,"threshold_uncertainty_score":0.08886993},"labels":[],"label_agreement":null},{"id":"W3118939073","doi":"","title":"Isotope-based hydrograph separation in large rivers: assessing flow sources and water quality controls in the oil sands region, Canada","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Water Quality and Resources Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hydrograph; Hydrology (agriculture); Environmental science; Water quality; Stable isotope ratio; Geology; Separation (statistics); Flow (mathematics); Isotope; Geography; Drainage basin; Geotechnical engineering; Cartography; Ecology","score_opus":0.04304984303557717,"score_gpt":0.2677857496604433,"score_spread":0.2247359066248661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118939073","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969675,0.00021983047,0.00052287563,0.00011761337,0.0000040056616,0.000034983357,0.0007400933,0.00001853876,0.0013744241],"genre_scores_gemma":[0.9964688,0.00027306093,0.0012462328,0.000040695715,0.0000022651213,0.000012124419,0.00046617704,0.000011131659,0.0014795155],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994747,0.00004573877,0.000025233874,0.000087522254,0.0002635792,0.000103265374],"domain_scores_gemma":[0.9988374,0.000119314405,0.00009936648,0.000021319023,0.0007990831,0.0001234091],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007605427,0.00032925187,0.00033905814,0.0016092781,0.0022261073,0.0013843463,0.00094383414,0.00037037124,0.00038734908],"category_scores_gemma":[0.0011834905,0.00031571218,0.00029640607,0.0026542498,0.0009503487,0.00035931557,0.00055817154,0.00040969125,0.000078984995],"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":[0.00025753363,0.000119155215,0.9592315,0.000075001255,0.00016542242,0.00017705058,0.0021639103,0.004451032,0.0063576726,0.00047474142,0.0010817824,0.025445178],"study_design_scores_gemma":[0.000013142383,0.000020983252,0.99124265,0.000017263923,0.000040900257,0.000028648528,0.0017282482,0.004178482,0.0013036783,0.00006603312,0.0013382526,0.000021658107],"about_ca_topic_score_codex":0.99654704,"about_ca_topic_score_gemma":0.9985682,"teacher_disagreement_score":0.025479032,"about_ca_system_score_codex":0.025479032,"about_ca_system_score_gemma":0.031080581,"threshold_uncertainty_score":0.18486416},"labels":[],"label_agreement":null},{"id":"W3118961486","doi":"","title":"Mapping the extent of thinned continental crust across the Orphan Basin, offshore Newfoundland, Canada, using a combination of vintage and new seismic refraction/wide-angle reflection data","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological and Geophysical Studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Reflection (computer programming); Continental crust; Crust; Submarine pipeline; Refraction; Seismology; Seismic refraction; Continental shelf; Oceanography; Paleontology; Optics","score_opus":0.09538732966517065,"score_gpt":0.2882754965207818,"score_spread":0.19288816685561117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118961486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99209386,0.00035466696,0.00026073607,0.000107866406,0.00000834022,0.000019409777,0.0035791476,0.000031949014,0.0035440407],"genre_scores_gemma":[0.9933761,0.00042542213,0.0011056938,0.00004507297,0.0000041016615,0.00001615817,0.0027834035,0.000010912237,0.0022330834],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997354,0.0000098524015,0.000012053284,0.00007161499,0.000060259237,0.00011081922],"domain_scores_gemma":[0.9993198,0.0000385899,0.00012845243,0.00003166678,0.00036432547,0.00011720939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026819017,0.0003875402,0.00022688365,0.0018829993,0.0010241459,0.0011305786,0.00045140722,0.00027120684,0.0009978313],"category_scores_gemma":[0.0007037719,0.0002829827,0.00025831212,0.0027168312,0.0005577222,0.00036503593,0.00077520224,0.00025840473,0.00018360118],"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":[0.00023858932,0.000050804654,0.9464291,0.0001356848,0.0002024634,0.0004678905,0.0017244737,0.0033604528,0.0122006945,0.0003540868,0.0037572721,0.031078558],"study_design_scores_gemma":[0.000009415705,0.0000077424065,0.9951349,0.00004309112,0.000037315058,0.000040121962,0.0011285024,0.0010244042,0.00040646587,0.000016529395,0.0021405495,0.000010951071],"about_ca_topic_score_codex":0.9869363,"about_ca_topic_score_gemma":0.99700814,"teacher_disagreement_score":0.013063729,"about_ca_system_score_codex":0.007692975,"about_ca_system_score_gemma":0.012147868,"threshold_uncertainty_score":0.05581671},"labels":[],"label_agreement":null},{"id":"W3118995750","doi":"","title":"Sea-level and surface-water change in the western North Atlantic across the Oligocene-Miocene Transition: a palynological perspective from IODP Site U1406 (Newfoundland margin)","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","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":"Geology; Paleontology; Glacial period; Palynology; Benthic zone; Oceanography; Northern Hemisphere; Dinocyst; Paleoceanography; Milankovitch cycles; Sea level; Climatology","score_opus":0.07183778759047145,"score_gpt":0.2949149584096914,"score_spread":0.22307717081921996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118995750","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965463,0.0001528366,0.000040215444,0.000058861133,0.000003336132,0.0000048063257,0.0022496379,0.0000049946957,0.00093892054],"genre_scores_gemma":[0.996856,0.00012648526,0.00015683999,0.000032338736,0.0000042009196,0.000007704313,0.0019810782,0.0000050921867,0.0008302633],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998437,0.00001152442,0.000010879774,0.000046348552,0.000025311749,0.00006228332],"domain_scores_gemma":[0.9994234,0.000038111142,0.00017294326,0.000029534329,0.00022209255,0.00011391793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003054546,0.0002267751,0.00019263261,0.0015429284,0.0007653834,0.00075152586,0.0003953405,0.00022132987,0.0015301447],"category_scores_gemma":[0.00039239903,0.00015076927,0.00021660292,0.0019855364,0.00041719546,0.00030365007,0.0005451355,0.00026022192,0.00025732198],"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":[0.000032163716,0.000012885741,0.9932099,0.000014361818,0.00003615464,0.00012319694,0.00068247365,0.00011890758,0.0012184872,0.00003276714,0.00043230955,0.004086452],"study_design_scores_gemma":[3.9999873e-7,0.000002521352,0.99940455,0.0000030872636,0.0000036237177,0.000014496875,0.00026678343,0.000041615862,0.000027876544,0.0000013498078,0.00023263232,0.0000010615385],"about_ca_topic_score_codex":0.8638966,"about_ca_topic_score_gemma":0.95614195,"teacher_disagreement_score":0.13610339,"about_ca_system_score_codex":0.004132286,"about_ca_system_score_gemma":0.0019934666,"threshold_uncertainty_score":0.27380985},"labels":[],"label_agreement":null},{"id":"W3119451965","doi":"","title":"Transition between folding and thrusting: numerical simulations and applications to the Swiss Jura Mountains and the Canadian Foothills","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Foothills; Geology; Geography; Physical geography; Cartography","score_opus":0.030431362777011025,"score_gpt":0.26251350015230374,"score_spread":0.2320821373752927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119451965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898893,0.00018315396,0.001071296,0.00035373343,0.000025273786,0.000039577386,0.00079146324,0.00010882417,0.0075374115],"genre_scores_gemma":[0.9967558,0.0001358699,0.0010590528,0.00004104248,0.000010971817,0.000026584621,0.0004445822,0.000033252272,0.001492972],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997954,0.000022946588,0.0000072208773,0.000029950492,0.000033690947,0.0001106969],"domain_scores_gemma":[0.99927646,0.00032425465,0.00004631718,0.000032523967,0.00016664939,0.00015375832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039658806,0.00073499617,0.0008255297,0.0010973095,0.003113371,0.0022291436,0.0017567632,0.0023068015,0.0037321758],"category_scores_gemma":[0.0022956587,0.0006676723,0.0010267245,0.0023200137,0.0020769206,0.000602838,0.00089344685,0.0011428805,0.00025230795],"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":[0.00008158408,0.00009613001,0.011903835,0.000028617142,0.000028184893,0.00012880925,0.00014776013,0.9829882,0.00038510538,0.0011135278,0.0007978222,0.0023004774],"study_design_scores_gemma":[0.00008630978,0.000031501648,0.012407316,0.000014484284,0.000018606119,0.000014555514,0.0004065338,0.9859634,0.00014578708,0.00042507073,0.00045636066,0.000030229237],"about_ca_topic_score_codex":0.9408654,"about_ca_topic_score_gemma":0.90229386,"teacher_disagreement_score":0.059134603,"about_ca_system_score_codex":0.0082939705,"about_ca_system_score_gemma":0.008319185,"threshold_uncertainty_score":0.118965685},"labels":[],"label_agreement":null},{"id":"W3119856639","doi":"","title":"Does External Forcing Interfere with the AMOC's influence on North Atlantic Sea Surface Temperature?","year":2014,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Climate variability and models","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 Toronto","funders":"","keywords":"Coupled model intercomparison project; Forcing (mathematics); Climatology; Sign (mathematics); Sea surface temperature; Environmental science; Zonal and meridional; Lead (geology); Ocean current; Geology; Climate model; Oceanography; Climate change; Mathematics","score_opus":0.011207852603084913,"score_gpt":0.21848273704540236,"score_spread":0.20727488444231745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119856639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98075634,0.0005307092,0.0029853524,0.0010131232,0.0001733352,0.000024496021,0.0008066637,0.00011213016,0.013597836],"genre_scores_gemma":[0.9986331,0.0001496647,0.00029391563,0.000107752676,0.00002932592,0.0000062369036,0.00014761469,0.000036159672,0.0005963448],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960476,0.00013872367,0.000040154173,0.000081504004,0.000055497792,0.000079334466],"domain_scores_gemma":[0.9983729,0.0006444534,0.00024722432,0.00031351217,0.00028443377,0.00013746924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011918226,0.0004670655,0.00040368814,0.0002900527,0.0005009078,0.0015897147,0.00042788897,0.00046220404,0.0027840354],"category_scores_gemma":[0.004790047,0.00023622657,0.00053839985,0.00032336495,0.0005701502,0.00085373974,0.0010787818,0.00040587626,0.00037544555],"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":[0.0009568151,0.0002801928,0.85696787,0.00028840138,0.00073696044,0.00069694076,0.00058711355,0.021377997,0.06713276,0.0058471397,0.002144445,0.04298342],"study_design_scores_gemma":[0.000037032638,0.00010512899,0.95669216,0.000050966963,0.00015264846,0.000073924886,0.00035666453,0.028304882,0.0072505423,0.0026398138,0.004298763,0.000037600108],"about_ca_topic_score_codex":0.0121150045,"about_ca_topic_score_gemma":0.01153844,"teacher_disagreement_score":0.0121150045,"about_ca_system_score_codex":0.0006543005,"about_ca_system_score_gemma":0.00072175224,"threshold_uncertainty_score":0.024088979},"labels":[],"label_agreement":null},{"id":"W3120233671","doi":"","title":"Modeling post-fire sediment yield based on two burn scenarios at the Sooke Lake Reservoir, BC, Canada","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hydrology (agriculture); Environmental science; Sediment; Geology; Geomorphology; Geotechnical engineering","score_opus":0.017868076450177458,"score_gpt":0.22230975960908425,"score_spread":0.2044416831589068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120233671","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99496424,0.00006084803,0.00055280916,0.00023688642,0.000013712869,0.000028758914,0.0010911984,0.000065375534,0.0029860765],"genre_scores_gemma":[0.9967314,0.00005880837,0.00058978505,0.00002688818,0.000002990711,0.000019510704,0.00075421884,0.000020459525,0.0017959103],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997223,0.000030642692,0.000009816043,0.00004144695,0.000044934797,0.00015086817],"domain_scores_gemma":[0.99918085,0.00019338743,0.000050925126,0.00003547919,0.00031761828,0.00022159866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006451034,0.00088189763,0.00078933174,0.0006762984,0.0018581005,0.0017085766,0.0019550323,0.001503527,0.00282887],"category_scores_gemma":[0.0016829611,0.0009512682,0.0010953998,0.001108998,0.0010496256,0.0007791693,0.00060759595,0.0011139802,0.00021583743],"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":[0.00024601366,0.00013911563,0.032628775,0.000024345552,0.000084519874,0.00015208457,0.00006681247,0.9623843,0.0007587936,0.00049126195,0.0011214307,0.0019025281],"study_design_scores_gemma":[0.0000830538,0.000035999885,0.021485735,0.000007861849,0.000037037236,0.000009545882,0.00019207383,0.977271,0.00034294717,0.00014003979,0.0003674099,0.000027335496],"about_ca_topic_score_codex":0.9751946,"about_ca_topic_score_gemma":0.97599846,"teacher_disagreement_score":0.024805427,"about_ca_system_score_codex":0.0210837,"about_ca_system_score_gemma":0.013127175,"threshold_uncertainty_score":0.15297365},"labels":[],"label_agreement":null},{"id":"W3120378633","doi":"","title":"Evidence for large Holocene earthquakes along the Denali fault in southwest Yukon Territory","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Holocene; Seismology; Fault (geology); Paleontology","score_opus":0.032909947925713216,"score_gpt":0.2709774698397507,"score_spread":0.23806752191403746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120378633","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99901414,0.000046660807,0.000026350386,0.000045748395,0.000002711365,0.0000023009782,0.00011583427,0.0000018075284,0.0007444595],"genre_scores_gemma":[0.9995571,0.00005171429,0.000032045707,0.000014246666,0.0000024238357,0.0000022920551,0.00015350961,7.7031945e-7,0.0001859907],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998752,0.000016132979,0.00001635489,0.000022586779,0.000020496964,0.000049268514],"domain_scores_gemma":[0.99903524,0.00017860887,0.000319579,0.00007044001,0.00022311127,0.00017319589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016780612,0.00014501828,0.00016559007,0.00095788063,0.0007049079,0.0005178072,0.00037976794,0.0004225685,0.0013928104],"category_scores_gemma":[0.0007142237,0.00018359348,0.000104496736,0.0016818229,0.000609557,0.00036612907,0.0005613099,0.00020911923,0.00013891865],"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":[0.00006308895,0.00001859638,0.9909293,0.0000311415,0.000027958704,0.0003774654,0.0016130044,0.000087267814,0.00348386,0.00013701111,0.00021190807,0.003019379],"study_design_scores_gemma":[0.000001935289,0.000006948511,0.99823403,0.0000034134625,0.0000063967527,0.000049877217,0.0013881924,0.000035615398,0.00005936531,0.000010610806,0.00020206034,0.0000014099642],"about_ca_topic_score_codex":0.12436538,"about_ca_topic_score_gemma":0.3170914,"teacher_disagreement_score":0.8756346,"about_ca_system_score_codex":0.0006577721,"about_ca_system_score_gemma":0.0012248317,"threshold_uncertainty_score":0.24728298},"labels":[],"label_agreement":null},{"id":"W3120386056","doi":"","title":"Heading down early on? Start of subduction on Earth","year":2014,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological and Geochemical Analysis","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":"Hadean; Subduction; Geology; Forearc; Archean; Crust; Oceanic crust; Earth science; Geochemistry; Plate tectonics; Tectonics; Stratigraphy; Paleontology; Eclogitization","score_opus":0.023819770294796705,"score_gpt":0.21630482517428734,"score_spread":0.19248505487949064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120386056","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74896085,0.008778378,0.0024146321,0.01052722,0.0004637152,0.00006541897,0.004310915,0.0001815444,0.22429731],"genre_scores_gemma":[0.96048677,0.0023815816,0.001111014,0.0011932731,0.00008524742,0.000007857364,0.0011936207,0.0000679009,0.033472773],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998437,0.000017609484,0.0000044543535,0.000028278178,0.000038692884,0.000067231515],"domain_scores_gemma":[0.9994178,0.000051343464,0.00004988686,0.00003387898,0.00027950428,0.0001675944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037226238,0.00016964434,0.00019288056,0.00059372856,0.0012928969,0.001370345,0.0002745646,0.00036998728,0.012558632],"category_scores_gemma":[0.0010115274,0.00010124997,0.000116941635,0.0007072698,0.00077298115,0.0010811378,0.0005365394,0.000695186,0.0017294852],"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":[0.0006860387,0.00010015316,0.5954247,0.0006527911,0.00008248901,0.0028165164,0.023572914,0.0006670898,0.027665775,0.090670496,0.06366783,0.19399318],"study_design_scores_gemma":[0.00000761919,0.000046109028,0.7176737,0.00027701005,0.000014252233,0.00030120387,0.008436748,0.00008034359,0.0031828189,0.0030863045,0.2668696,0.000024313418],"about_ca_topic_score_codex":0.24903747,"about_ca_topic_score_gemma":0.43422362,"teacher_disagreement_score":0.24903747,"about_ca_system_score_codex":0.0042492854,"about_ca_system_score_gemma":0.0023322704,"threshold_uncertainty_score":0.49517584},"labels":[],"label_agreement":null},{"id":"W3120763069","doi":"","title":"Numerical modelling study of gully recharge and debris flows in Haida Gwaii, British Columbia","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Groundwater recharge; Geology; Debris; Hydrology (agriculture); Archaeology; Numerical models; Debris flow; Numerical modeling; Geomorphology; Geography; Groundwater; Oceanography; Geotechnical engineering; Aquifer; Geophysics","score_opus":0.030406585652323424,"score_gpt":0.23948735876399854,"score_spread":0.2090807731116751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120763069","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99387544,0.000043376982,0.00017777421,0.00012779929,0.0000055215105,0.000028156735,0.00049205625,0.00004190039,0.005207904],"genre_scores_gemma":[0.9967629,0.000068340814,0.0003041612,0.000019786492,0.0000014581389,0.00003053966,0.00027192308,0.000011734495,0.0025292423],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982303,0.00002417108,0.0000128936035,0.000037748876,0.000032165637,0.00007006979],"domain_scores_gemma":[0.99957496,0.00012251998,0.000035153953,0.000025816496,0.00015957704,0.0000820272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019816984,0.00038648356,0.0004784874,0.00085432647,0.0022200001,0.0023308364,0.0014693952,0.0010559452,0.0029781403],"category_scores_gemma":[0.0012283383,0.0004949046,0.000500994,0.0015399313,0.0009114979,0.00052137556,0.0007443417,0.0009903772,0.0003210032],"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":[0.0005934348,0.0006863629,0.23751742,0.00015053211,0.00019733477,0.0013390194,0.0013534409,0.7282495,0.004517762,0.0029519468,0.0043750987,0.018068224],"study_design_scores_gemma":[0.00014108732,0.00008367363,0.16084394,0.0000478378,0.00006766423,0.00007186806,0.002906974,0.83134365,0.001031008,0.00038330816,0.002996775,0.00008230666],"about_ca_topic_score_codex":0.9741323,"about_ca_topic_score_gemma":0.97553796,"teacher_disagreement_score":0.0258677,"about_ca_system_score_codex":0.016501905,"about_ca_system_score_gemma":0.011147126,"threshold_uncertainty_score":0.119730234},"labels":[],"label_agreement":null},{"id":"W3120927232","doi":"","title":"Experimental studies on TTGs the Nuvvuagittuq Complex, Quebec, Canada: Implications for early crustal recycling and Archaean granitoids","year":2014,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Archean; Geology; Political science; Geochemistry; Earth science","score_opus":0.06366339931364284,"score_gpt":0.2728281614564594,"score_spread":0.20916476214281654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120927232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98657715,0.0001536797,0.0004896037,0.00012786835,0.000008017031,0.00012801844,0.001766309,0.000011163246,0.010738318],"genre_scores_gemma":[0.97989756,0.0001542211,0.0010994783,0.00010742584,0.000003724579,0.00011632697,0.0010030771,0.000021405018,0.017596846],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99945897,0.00007995784,0.000019719737,0.0001344679,0.00014856669,0.00015821209],"domain_scores_gemma":[0.9983663,0.00014813349,0.000108269036,0.00006676568,0.001121932,0.00018861794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046249907,0.00038652887,0.0002709347,0.001210027,0.007302895,0.0014568397,0.0011478919,0.00046622587,0.006167215],"category_scores_gemma":[0.0013712269,0.0002956711,0.00022278205,0.002808004,0.0022512379,0.00045079683,0.0009861693,0.0005684507,0.00061677693],"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":[0.0030619982,0.00064396794,0.7483894,0.00029277705,0.0001418615,0.001461838,0.04096472,0.002679979,0.113583654,0.008535165,0.0065675275,0.07367705],"study_design_scores_gemma":[0.00003208557,0.00015939678,0.9716404,0.000034326316,0.000029425015,0.00007762854,0.012868717,0.0005606608,0.0049953875,0.00017030566,0.009406025,0.000025827845],"about_ca_topic_score_codex":0.9924118,"about_ca_topic_score_gemma":0.99790895,"teacher_disagreement_score":0.034273896,"about_ca_system_score_codex":0.034273896,"about_ca_system_score_gemma":0.018855885,"threshold_uncertainty_score":0.24867564},"labels":[],"label_agreement":null},{"id":"W3120977982","doi":"","title":"Tracking Ocean Gravity Waves in Real-time: Highlights of Bottom Pressure Data Recorded on Ocean Networks Canada's NEPTUNE observatory","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Observatory; Neptune; Tracking (education); Geology; Oceanography; Meteorology; Remote sensing; Geodesy; Environmental science; Geography; Planet; Astronomy; Physics","score_opus":0.030036637766588745,"score_gpt":0.22630595482004479,"score_spread":0.19626931705345604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120977982","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85056025,0.009286061,0.005217032,0.014730942,0.0014711373,0.00026649257,0.05486545,0.0011828002,0.062419794],"genre_scores_gemma":[0.95315784,0.005097141,0.010244347,0.0013240693,0.00054741005,0.00004739787,0.017068116,0.00027456504,0.012239044],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992588,0.000028710061,0.000028778233,0.000071819755,0.00046250704,0.00014932465],"domain_scores_gemma":[0.9971998,0.000257848,0.00016773293,0.00009212374,0.0019369372,0.0003455372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012661054,0.00046293775,0.00037309303,0.0019218863,0.0013092352,0.0027535562,0.000965021,0.0008766769,0.0014450393],"category_scores_gemma":[0.0018064153,0.0002751403,0.00024611902,0.004827815,0.00066039275,0.00076713046,0.0009147614,0.0011200444,0.0004996022],"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":[0.00061150664,0.00033251906,0.6546735,0.0007987352,0.00025310065,0.0015508775,0.003353664,0.005477905,0.021734817,0.0020195644,0.11755031,0.19164342],"study_design_scores_gemma":[0.000026445978,0.000035294288,0.9449289,0.00012039438,0.000052320953,0.00017432253,0.0024654206,0.0041133882,0.0022088531,0.0003135353,0.045514356,0.000046779325],"about_ca_topic_score_codex":0.85150295,"about_ca_topic_score_gemma":0.9571035,"teacher_disagreement_score":0.14849705,"about_ca_system_score_codex":0.0036816802,"about_ca_system_score_gemma":0.0079449555,"threshold_uncertainty_score":0.29874313},"labels":[],"label_agreement":null},{"id":"W3122426469","doi":"","title":"Bromine activation on super-micron aerosols in the Canadian high Arctic","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bromine; Arctic; Environmental science; Atmospheric sciences; Meteorology; Chemistry; Oceanography; Geography; Geology","score_opus":0.02543533800035072,"score_gpt":0.23059171629879094,"score_spread":0.20515637829844022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122426469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992274,0.0008948163,0.00012191309,0.0001232803,0.000030526735,0.000014252969,0.0008766566,0.000011954954,0.00565259],"genre_scores_gemma":[0.9938484,0.00063243485,0.00011785301,0.00006296274,0.000008183187,0.000005766548,0.00036848584,0.000011688875,0.004944213],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9996295,0.000013889514,0.0000065897625,0.00007266835,0.00010393935,0.00017347767],"domain_scores_gemma":[0.999666,0.000044232067,0.000015923377,0.000011339515,0.0002166045,0.000045797857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002888699,0.0004262485,0.00038107697,0.000692574,0.0026094995,0.0008484606,0.00044739494,0.0005317207,0.0030477233],"category_scores_gemma":[0.00031849107,0.00019290153,0.00040205073,0.00040003713,0.0004460032,0.00035750994,0.0005072148,0.0003574043,0.00032056434],"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":[0.0066257776,0.00021478669,0.34751037,0.0006509563,0.0005512852,0.0009088351,0.0032714866,0.008200014,0.58624136,0.0015872057,0.0062372545,0.038000744],"study_design_scores_gemma":[0.000068460766,0.00020934973,0.88902235,0.00004862574,0.00016514905,0.00009689142,0.0022511864,0.0025045646,0.094702214,0.00028076916,0.010590728,0.000059685557],"about_ca_topic_score_codex":0.93521404,"about_ca_topic_score_gemma":0.95619184,"teacher_disagreement_score":0.06478596,"about_ca_system_score_codex":0.010568484,"about_ca_system_score_gemma":0.005940185,"threshold_uncertainty_score":0.13033491},"labels":[],"label_agreement":null},{"id":"W3123549705","doi":"","title":"Ecohydrological development of a reclaimed upland-wetland system constructed on soft tailings at an oil-sand mine, NE Alberta, Canada","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tailings; Wetland; Environmental science; Land reclamation; Hydrology (agriculture); Mining engineering; Water resource management; Environmental engineering; Geology; Geography; Geotechnical engineering; Ecology","score_opus":0.014537135117689405,"score_gpt":0.21852277988161767,"score_spread":0.20398564476392828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123549705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99755704,0.0000205949,0.0001186832,0.000017972648,0.0000017719668,0.000028486875,0.00015051846,0.000011316911,0.0020934949],"genre_scores_gemma":[0.99747014,0.000027855907,0.00044071465,0.00000806007,4.878934e-7,0.000010196582,0.000105390405,0.0000037661891,0.0019334081],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997968,0.000014786643,0.000006072009,0.000032455737,0.000074760144,0.0000751303],"domain_scores_gemma":[0.9998165,0.000009757706,0.000010636398,0.000006564798,0.00009344338,0.00006317951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011838484,0.00018979069,0.0001936813,0.00053320214,0.0019156528,0.000881801,0.0007170041,0.00024381565,0.0011542074],"category_scores_gemma":[0.00018957276,0.00018247619,0.00017352181,0.00063799915,0.000901564,0.00014678162,0.00047542359,0.00025664282,0.00015696828],"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":[0.0019810759,0.001426589,0.6401845,0.00020963312,0.00010701784,0.0031730318,0.006029606,0.024630295,0.24001165,0.00174249,0.0030528123,0.07745133],"study_design_scores_gemma":[0.000027870998,0.00021502528,0.98060375,0.000012159285,0.000021475815,0.00008756798,0.0035484317,0.006322986,0.0063150018,0.000069583766,0.0027533001,0.000022890947],"about_ca_topic_score_codex":0.93516815,"about_ca_topic_score_gemma":0.9836744,"teacher_disagreement_score":0.06483185,"about_ca_system_score_codex":0.013015932,"about_ca_system_score_gemma":0.0091280565,"threshold_uncertainty_score":0.13042724},"labels":[],"label_agreement":null},{"id":"W3123802972","doi":"","title":"Effects of logging disturbance on soil organic carbon and related variables in the Coastal Range of British Columbia, Canada","year":2012,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Logging; Disturbance (geology); Environmental science; Soil carbon; Range (aeronautics); Total organic carbon; Carbon fibers; Environmental resource management; Forestry; Environmental protection; Physical geography; Geography; Hydrology (agriculture); Ecology; Soil science; Geology; Soil water; Engineering; Geotechnical engineering; Geomorphology","score_opus":0.004599935056145402,"score_gpt":0.1741890184390451,"score_spread":0.1695890833828997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123802972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971716,0.0003410079,0.000036412435,0.00015439412,0.0000087948,0.000011739195,0.00097130437,0.0000065367753,0.001298318],"genre_scores_gemma":[0.9971404,0.0003031731,0.0000747571,0.00007392929,0.000002751864,0.000009234003,0.000621305,0.0000052179785,0.0017692432],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995609,0.00005523142,0.000032910375,0.000076212884,0.000118899145,0.00015579682],"domain_scores_gemma":[0.9978466,0.00021695346,0.00022720615,0.000065670305,0.0010936105,0.00054998184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039701737,0.00029793603,0.00036468497,0.0012754969,0.0023157077,0.0012161447,0.0011476524,0.00043991022,0.0020956763],"category_scores_gemma":[0.0014992523,0.00033189412,0.00036683882,0.0025901403,0.0009830821,0.00032849156,0.0007470759,0.0005542894,0.00028554816],"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":[0.00014866384,0.00006685332,0.9899616,0.000028985896,0.00010217116,0.0002109492,0.000962549,0.00026578578,0.0007971323,0.00006136384,0.0014941659,0.005899846],"study_design_scores_gemma":[0.0000039284414,0.0000064545893,0.9980286,0.000013405952,0.00001488882,0.000026916574,0.0013963684,0.00010822034,0.000044168504,0.000008692179,0.00034305672,0.0000054243624],"about_ca_topic_score_codex":0.9958682,"about_ca_topic_score_gemma":0.99898976,"teacher_disagreement_score":0.015333934,"about_ca_system_score_codex":0.015333934,"about_ca_system_score_gemma":0.014587039,"threshold_uncertainty_score":0.111256},"labels":[],"label_agreement":null},{"id":"W3125020893","doi":"","title":"Characterization of long-range transported Canadian biomass burning over Central Europe - A case study","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Range (aeronautics); Environmental science; Environmental protection; Engineering","score_opus":0.03440167572211637,"score_gpt":0.23904841260034046,"score_spread":0.2046467368782241,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125020893","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944174,0.00018271773,0.0005001622,0.000056434335,0.0000053644144,0.00004469687,0.00084075646,0.000017585011,0.003934857],"genre_scores_gemma":[0.99536526,0.00016901916,0.0009689681,0.000029250565,0.0000024316737,0.000014761449,0.0009332865,0.000016211647,0.00250086],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99957436,0.000016613176,0.000014656157,0.00006285703,0.00016371977,0.00016781162],"domain_scores_gemma":[0.9994854,0.000084762934,0.00004938415,0.000027695156,0.0002831641,0.00006963405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004657566,0.00057649525,0.00043488768,0.0016739091,0.0031568154,0.0019358579,0.0011953913,0.0009778356,0.001634514],"category_scores_gemma":[0.0008542959,0.0002520985,0.000532781,0.0034955733,0.00083736837,0.0004524232,0.0005483679,0.00045859106,0.00017148405],"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":[0.0014315818,0.00081896456,0.7410561,0.00043867232,0.0004918799,0.011459467,0.0069676503,0.12822124,0.022697803,0.004040468,0.004700561,0.0776757],"study_design_scores_gemma":[0.00003346611,0.00011013721,0.91973966,0.00010629789,0.00013274344,0.0006862882,0.016092999,0.0488295,0.003494055,0.00035746786,0.01032123,0.00009614238],"about_ca_topic_score_codex":0.9739535,"about_ca_topic_score_gemma":0.988395,"teacher_disagreement_score":0.026046515,"about_ca_system_score_codex":0.0143958405,"about_ca_system_score_gemma":0.009459236,"threshold_uncertainty_score":0.10444963},"labels":[],"label_agreement":null},{"id":"W3125082962","doi":"","title":"How does the deep orogenic crust deform? The example of the Central Gneiss Belt (CGB), Grenville Province, Ontario.","year":2013,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Crust; Gneiss; Upper crust; Geochemistry; Metamorphic rock","score_opus":0.01704570390175921,"score_gpt":0.19072528746261824,"score_spread":0.17367958356085902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125082962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6507403,0.007173717,0.002606528,0.022153659,0.00019937218,0.00006921388,0.008692367,0.00023138775,0.30813348],"genre_scores_gemma":[0.9781771,0.0013563809,0.001202276,0.00020419237,0.000009538435,0.0000049234604,0.00082568044,0.000042801905,0.01817719],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999889,0.000013707396,0.0000036211827,0.000020256864,0.00002922658,0.000044224602],"domain_scores_gemma":[0.9998822,0.00001437708,0.000016437723,0.000012371699,0.00005006278,0.000024455654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014116548,0.00021150024,0.00017257353,0.00062744244,0.0024032246,0.0013815113,0.00057572674,0.0006268713,0.0055508567],"category_scores_gemma":[0.0008355575,0.00015014333,0.00020013709,0.002197709,0.0025916807,0.0005227814,0.00076812785,0.00040243537,0.00042936706],"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":[0.000781291,0.00008568867,0.51185405,0.0008341566,0.00031334933,0.008727876,0.029292492,0.027466988,0.017041598,0.16323292,0.09626512,0.14410451],"study_design_scores_gemma":[0.00004917869,0.000024116354,0.8227671,0.00014071299,0.000089613546,0.0006518676,0.023129268,0.0037004356,0.00050737977,0.011828876,0.13705753,0.00005400084],"about_ca_topic_score_codex":0.9841877,"about_ca_topic_score_gemma":0.9955,"teacher_disagreement_score":0.015812278,"about_ca_system_score_codex":0.013642757,"about_ca_system_score_gemma":0.0058298707,"threshold_uncertainty_score":0.09898561},"labels":[],"label_agreement":null},{"id":"W3126675943","doi":"","title":"Simulations of a Canadian snowpack brightness temperatures using SURFEX-Crocus for Snow Water Equivalent (SWE) retrievals","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Snowpack; Water equivalent; Snow; Crocus; Environmental science; Remote sensing; Brightness; Snow cover; Snowmelt; Atmospheric sciences; Meteorology; Geology; Geography; Physics; Optics","score_opus":0.07365845367050655,"score_gpt":0.2705610213857875,"score_spread":0.19690256771528097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126675943","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96515054,0.0001596018,0.004452892,0.0008060223,0.00012956453,0.00011077033,0.0068342295,0.0008881784,0.021468215],"genre_scores_gemma":[0.98714405,0.00007927401,0.005211809,0.00011969231,0.000015909223,0.000051222996,0.0032252006,0.00015656532,0.003996193],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997553,0.0000362175,0.000008523931,0.000054611017,0.00004907701,0.00009613395],"domain_scores_gemma":[0.99918014,0.00019432885,0.000033377906,0.0000375536,0.00041204583,0.00014256452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054551027,0.001047182,0.0006818592,0.0005906769,0.0019976897,0.0011564879,0.0025540846,0.0016370782,0.0068256096],"category_scores_gemma":[0.0018373583,0.00076530286,0.0012157109,0.0011196438,0.00096619304,0.0007278385,0.0006202709,0.0012470376,0.0006030202],"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":[0.00017214901,0.000091921174,0.006046149,0.000030705432,0.000042700623,0.00008459087,0.00007118444,0.9874588,0.0010113679,0.00088227243,0.0023326736,0.0017754222],"study_design_scores_gemma":[0.00017113666,0.00002723872,0.0038108954,0.0000081439275,0.000020304527,0.0000074114187,0.00009382301,0.9943322,0.0004448811,0.0001262576,0.00092779525,0.000029997445],"about_ca_topic_score_codex":0.9559972,"about_ca_topic_score_gemma":0.9389242,"teacher_disagreement_score":0.04400277,"about_ca_system_score_codex":0.009572907,"about_ca_system_score_gemma":0.010144637,"threshold_uncertainty_score":0.088523746},"labels":[],"label_agreement":null},{"id":"W3126713412","doi":"","title":"Long-term Surface Temperature (LoST) Database as a Complement for GCM Preindustrial Simulations","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","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":"St. Francis Xavier University; Memorial University of Newfoundland","funders":"","keywords":"Cru; Coupled model intercomparison project; GCM transcription factors; Climatology; Environmental science; Database; Climate model; Downscaling; General Circulation Model; Climate change; Transient climate simulation; Meteorology; Precipitation; Geography; Geology; Computer science","score_opus":0.060475743986146385,"score_gpt":0.31559200914774305,"score_spread":0.2551162651615967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126713412","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30881283,0.00039854454,0.01566376,0.00033203937,0.0001375599,0.00022745511,0.65812784,0.0075840037,0.008715966],"genre_scores_gemma":[0.4590188,0.00023284927,0.018725501,0.00012913045,0.0000499043,0.00055224984,0.51850224,0.0011442992,0.0016450974],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999432,0.000106446714,0.00009991831,0.00014832981,0.00017125654,0.000041956133],"domain_scores_gemma":[0.99695706,0.0003606803,0.00038906824,0.0011851068,0.00091818534,0.00018982134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012290727,0.0005401238,0.0005311881,0.001712735,0.00031448744,0.0013392415,0.0016647333,0.0005238199,0.0040284735],"category_scores_gemma":[0.003073458,0.0003744701,0.0006276647,0.002625546,0.00016243767,0.0012890545,0.00084423163,0.0007421913,0.001589464],"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":[0.0018921486,0.000688723,0.33636218,0.0012133392,0.0012636032,0.0004782078,0.0005263513,0.43800205,0.011521203,0.0036625608,0.11148669,0.09290291],"study_design_scores_gemma":[0.0009974967,0.000291412,0.36856505,0.00021427579,0.00037035436,0.00019913341,0.00040556557,0.4147411,0.022195557,0.0022157345,0.18955761,0.00024670566],"about_ca_topic_score_codex":0.028278362,"about_ca_topic_score_gemma":0.020835996,"teacher_disagreement_score":0.028278362,"about_ca_system_score_codex":0.0008146286,"about_ca_system_score_gemma":0.0009709677,"threshold_uncertainty_score":0.056227505},"labels":[],"label_agreement":null},{"id":"W3127120467","doi":"","title":"Wavelet analysis of magnetic anomaly data: constraining thermal structure of western Canadian lithosphere","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geomagnetism and Paleomagnetism Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Lithosphere; Geology; Wavelet; Magnetic anomaly; Geophysics; Anomaly (physics); Seismology; Geodesy; Tectonics; Physics","score_opus":0.02294306256982005,"score_gpt":0.2622945924399164,"score_spread":0.23935152987009634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127120467","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99425864,0.00012767797,0.002578776,0.000083332234,0.000007661336,0.000005168808,0.0010094333,0.000043869302,0.0018853446],"genre_scores_gemma":[0.9959002,0.00014859159,0.0021639534,0.0000110106575,0.000004538779,0.0000030086485,0.0010358947,0.000017860611,0.00071497826],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988437,0.00000793296,0.000005656232,0.000021836593,0.000037953207,0.000042351894],"domain_scores_gemma":[0.999617,0.000051143437,0.000030240342,0.000024087087,0.00024384397,0.000033734286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024681835,0.00019598502,0.00014228986,0.0010336787,0.000622501,0.0007095382,0.00030742667,0.00014388551,0.0011442341],"category_scores_gemma":[0.0014396289,0.00010154672,0.00017720109,0.0017956867,0.00021134017,0.0002044919,0.00027610947,0.00024599093,0.00020976848],"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":[0.0005839359,0.000114245646,0.4922012,0.00016911389,0.00022307552,0.00028284,0.0011735669,0.051678993,0.14676154,0.0026405996,0.005298142,0.29887274],"study_design_scores_gemma":[0.000010936131,0.000012074467,0.93349797,0.000013082134,0.000046126774,0.000033875796,0.00047066406,0.05908759,0.003974699,0.00033657736,0.002489799,0.000026610494],"about_ca_topic_score_codex":0.86768574,"about_ca_topic_score_gemma":0.91290987,"teacher_disagreement_score":0.13231426,"about_ca_system_score_codex":0.0015194063,"about_ca_system_score_gemma":0.0037539457,"threshold_uncertainty_score":0.26618695},"labels":[],"label_agreement":null},{"id":"W3127276480","doi":"","title":"Holocene Subpolar Gyre variability illustrated by multi-proxy studies of marine sediment cores from the Irminger Sea, Labrador Sea and Baffin Bay regions","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bay; Ocean gyre; Oceanography; Geology; Holocene; Proxy (statistics); Sediment; Fishery; Geomorphology; Subtropics","score_opus":0.042303977988332415,"score_gpt":0.2752379606761321,"score_spread":0.2329339826877997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127276480","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99864215,0.00015884884,0.000024735948,0.00002315306,0.0000020516593,0.0000012679724,0.00042581564,0.000003107758,0.00071879727],"genre_scores_gemma":[0.9989561,0.00015319814,0.00007176925,0.000014056608,0.000003202117,0.0000025081436,0.0005156155,0.0000027042481,0.00028094643],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99991846,0.000009366539,0.000007754285,0.00003240395,0.000009302072,0.0000227604],"domain_scores_gemma":[0.99967384,0.00004528395,0.0001202988,0.000035186615,0.00007016934,0.000055269593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025723025,0.00015543094,0.00019341777,0.0012344539,0.0004841817,0.00072876643,0.00020070023,0.00020793187,0.0010247129],"category_scores_gemma":[0.00055477227,0.00016274494,0.00014249026,0.0014176131,0.0002960926,0.00041899196,0.0004070534,0.00020408149,0.00018148922],"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":[0.000090396294,0.000011945638,0.98999083,0.000013472765,0.000082567065,0.000083935796,0.0010904775,0.00010747968,0.0031176955,0.00007276914,0.0002674301,0.005071039],"study_design_scores_gemma":[4.3475825e-7,0.0000019090237,0.9996358,0.0000016386464,0.0000049760665,0.00001043607,0.00013264026,0.000021963562,0.000034639448,0.000002831732,0.0001520695,7.1854595e-7],"about_ca_topic_score_codex":0.123167366,"about_ca_topic_score_gemma":0.39580697,"teacher_disagreement_score":0.8768326,"about_ca_system_score_codex":0.0005951889,"about_ca_system_score_gemma":0.00039157242,"threshold_uncertainty_score":0.24490088},"labels":[],"label_agreement":null},{"id":"W3127393464","doi":"","title":"Wind gusts parametrization methods for winter storms in Switzerland with the Canadian Regional Climate Model","year":2012,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Parametrization (atmospheric modeling); Storm; Climatology; Environmental science; Climate model; Meteorology; Climate change; Atmospheric sciences; Geography; Geology; Oceanography","score_opus":0.04397861405366491,"score_gpt":0.30447407865932485,"score_spread":0.2604954646056599,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127393464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8789277,0.0010428234,0.093031876,0.0008022307,0.00016799064,0.00022476308,0.0067878496,0.0037072406,0.015307566],"genre_scores_gemma":[0.9711258,0.00024137119,0.021230945,0.00004200631,0.00003528728,0.00007591794,0.0035726363,0.0005323677,0.0031436605],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999838,0.000037892965,0.000011654831,0.00002993772,0.000036703626,0.000045742177],"domain_scores_gemma":[0.99975044,0.00006954651,0.000018148296,0.000031550055,0.000100464276,0.00002993584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060541637,0.0008851379,0.0005571083,0.00055297837,0.000987449,0.0009271645,0.0010827328,0.00064323825,0.0022779896],"category_scores_gemma":[0.0012259725,0.00045135067,0.00072205666,0.0007598809,0.00027286026,0.0006477806,0.0005098602,0.0007835056,0.00034561427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009445844,0.00003138702,0.0033417381,0.000024492258,0.000047204165,0.000033070526,0.00004499753,0.9814926,0.00086081546,0.0010488194,0.0016637288,0.011316781],"study_design_scores_gemma":[0.000037113507,0.000007126567,0.0025561142,0.00000552683,0.000011743965,0.0000030441618,0.000016400681,0.9962752,0.0002788165,0.00022061334,0.0005761139,0.000012254608],"about_ca_topic_score_codex":0.811626,"about_ca_topic_score_gemma":0.78783065,"teacher_disagreement_score":0.811626,"about_ca_system_score_codex":0.0024300227,"about_ca_system_score_gemma":0.0045873118,"threshold_uncertainty_score":0.3789667},"labels":[],"label_agreement":null},{"id":"W3127907689","doi":"","title":"Stemflow amount, intensity and timing in a mature forest in coastal British Columbia, Canada","year":2013,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stemflow; Intensity (physics); Geography; Environmental science; Forestry; Meteorology; Precipitation; Throughfall","score_opus":0.008029406926918139,"score_gpt":0.1785188782463255,"score_spread":0.17048947131940737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127907689","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99760985,0.00012224485,0.00003091479,0.00007494244,0.0000031175823,0.000010694601,0.0013173968,0.0000055883256,0.00082522904],"genre_scores_gemma":[0.9973111,0.00014448399,0.00009015953,0.00003633857,0.0000018865429,0.000008868409,0.0008240745,0.0000040140835,0.0015790326],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997681,0.000018573826,0.000015351381,0.0000518119,0.00005149084,0.000094703435],"domain_scores_gemma":[0.99884075,0.00010371016,0.00009718901,0.000026528502,0.0006091392,0.00032268438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022117796,0.00022295417,0.0003049047,0.0008913365,0.0022294407,0.0009802165,0.0010374029,0.000413918,0.0021892565],"category_scores_gemma":[0.0008505632,0.0003160974,0.00023229913,0.0023081857,0.00062155956,0.00028830062,0.000559593,0.00048166027,0.00030320487],"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":[0.00013967941,0.000067023255,0.9896107,0.000025841493,0.00003502775,0.0002702073,0.0013793465,0.0003535568,0.0008055787,0.00007440352,0.0013189183,0.0059197084],"study_design_scores_gemma":[0.0000038093474,0.0000066968696,0.9978447,0.000009142743,0.000006163259,0.000028567276,0.0015480202,0.00021644506,0.000039138362,0.0000090925805,0.00028245483,0.000005635437],"about_ca_topic_score_codex":0.9952957,"about_ca_topic_score_gemma":0.9988439,"teacher_disagreement_score":0.0129756015,"about_ca_system_score_codex":0.0129756015,"about_ca_system_score_gemma":0.012376153,"threshold_uncertainty_score":0.09414506},"labels":[],"label_agreement":null},{"id":"W3127938364","doi":"","title":"Spatial variability in streamflow along a temporary stream in the Okanagan, BC, Canada","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Streamflow; Geography; Spatial variability; STREAMS; Physical geography; Hydrology (agriculture); Environmental science; Cartography; Drainage basin; Geology; Statistics","score_opus":0.014101473788466495,"score_gpt":0.2248204925619356,"score_spread":0.2107190187734691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127938364","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99679416,0.000103418635,0.00007310464,0.000119340446,0.000007621093,0.000014860382,0.001375943,0.000009820212,0.001501794],"genre_scores_gemma":[0.99707425,0.00014168874,0.00019839325,0.000026325994,0.0000032966404,0.000012486583,0.0009152917,0.000005945355,0.0016222392],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995963,0.00003055194,0.000029793671,0.00008146274,0.00013148655,0.00013043532],"domain_scores_gemma":[0.9986047,0.000115784256,0.00012700076,0.00003620502,0.00084750506,0.00026888217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028532092,0.00018864434,0.00030359274,0.0009859449,0.002680445,0.0012810078,0.0007832686,0.0003461396,0.0013810536],"category_scores_gemma":[0.0010663946,0.00023026047,0.0002789765,0.0023702753,0.00083741185,0.00032277143,0.00082922133,0.00044210907,0.00023181234],"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":[0.0001446936,0.000059893435,0.98312354,0.00003842542,0.00008191218,0.00025485328,0.002404933,0.00057750376,0.0015562008,0.00021593028,0.00220772,0.0093344],"study_design_scores_gemma":[0.000003704174,0.000005143497,0.99688345,0.000011397794,0.000011928951,0.000028566958,0.0018541338,0.00042358306,0.00007463648,0.000013293893,0.0006828263,0.000007323327],"about_ca_topic_score_codex":0.9922192,"about_ca_topic_score_gemma":0.9977494,"teacher_disagreement_score":0.015773898,"about_ca_system_score_codex":0.015773898,"about_ca_system_score_gemma":0.018695982,"threshold_uncertainty_score":0.11444819},"labels":[],"label_agreement":null},{"id":"W3128265968","doi":"10.24400/527896/a03-2014.0119","title":"Eddy-driven low-frequency variability: physics and observability through altimetry","year":2014,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Meteorological Phenomena and Simulations","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 Victoria","funders":"","keywords":"Altimeter; Observability; Satellite altimetry; Physics; Climatology; Geodesy; Geophysics; Geology; Meteorology; Environmental science; Mathematics; Applied mathematics","score_opus":0.03956077923379833,"score_gpt":0.2472182133418215,"score_spread":0.20765743410802318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128265968","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98387295,0.000093523544,0.014269603,0.00009481395,0.0000073529977,0.0000075660173,0.00013931791,0.00008169647,0.001433113],"genre_scores_gemma":[0.9980525,0.00004705468,0.0017648065,0.0000041955777,0.0000029968635,0.0000024428289,0.00005443337,0.0000068508402,0.00006473277],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999287,0.000026873291,0.0000051635307,0.000016377226,0.000014616984,0.000008280442],"domain_scores_gemma":[0.9996598,0.00013679125,0.000091683185,0.000075092285,0.000022169397,0.000014589742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034629702,0.0001692075,0.00013632917,0.00022617524,0.00017801838,0.00062187214,0.00021155692,0.00021948495,0.00030871812],"category_scores_gemma":[0.0009742972,0.00016423086,0.00027886056,0.00031686982,0.00037152338,0.0009606329,0.00033866367,0.00038527223,0.000040661762],"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":[0.00023357267,0.00015049151,0.34956855,0.00011311771,0.00014633776,0.0003080787,0.0004489968,0.54335284,0.054504935,0.013621368,0.00039581227,0.0371559],"study_design_scores_gemma":[0.000023256216,0.00005934997,0.16687343,0.000011601519,0.00002834764,0.00007305046,0.00009023427,0.8210474,0.006587075,0.0046266103,0.0005505838,0.00002898929],"about_ca_topic_score_codex":0.0034141268,"about_ca_topic_score_gemma":0.0023043808,"teacher_disagreement_score":0.0034141268,"about_ca_system_score_codex":0.00024182,"about_ca_system_score_gemma":0.00020930136,"threshold_uncertainty_score":0.006788492},"labels":[],"label_agreement":null},{"id":"W3129152486","doi":"","title":"Isentropic constraints by midlatitude surface warming on the Arctic midtroposphere","year":2013,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Climate variability and models","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 Toronto","funders":"","keywords":"Middle latitudes; Climatology; Arctic; Environmental science; Global warming; Atmospheric sciences; Climate model; Latitude; Climate change; Geology; Oceanography","score_opus":0.02166668993326906,"score_gpt":0.23250698834134023,"score_spread":0.21084029840807117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3129152486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9231551,0.0022699651,0.007225733,0.0014334632,0.00009272631,0.000010051154,0.00089138065,0.00008065396,0.06484085],"genre_scores_gemma":[0.9980586,0.0006466195,0.00030651494,0.0000575195,0.000044000783,0.000003929646,0.0001537399,0.000016026419,0.0007130119],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999398,0.0000195001,0.0000029471223,0.000009022926,0.000011785984,0.000016894093],"domain_scores_gemma":[0.9997012,0.00011391016,0.000061749226,0.000027181519,0.000047707417,0.000048263428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027436885,0.0002717965,0.00017086235,0.00027920134,0.0003844348,0.0006258887,0.000271121,0.0002840832,0.005821276],"category_scores_gemma":[0.0011339762,0.00017211816,0.0002434289,0.00018999094,0.00042953246,0.0007999017,0.0007707965,0.00044045757,0.00033500118],"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":[0.0008685855,0.00013378244,0.19846222,0.0004265012,0.00018177186,0.0011790359,0.00086350035,0.45889148,0.07170742,0.20069851,0.0073724794,0.059214666],"study_design_scores_gemma":[0.00015642567,0.00023694134,0.49696222,0.00019853249,0.00010335152,0.00030814513,0.0005271116,0.30410093,0.008347513,0.16717005,0.021818113,0.000070619084],"about_ca_topic_score_codex":0.005179654,"about_ca_topic_score_gemma":0.009278672,"teacher_disagreement_score":0.005821276,"about_ca_system_score_codex":0.00036349337,"about_ca_system_score_gemma":0.00029420332,"threshold_uncertainty_score":0.019474149},"labels":[],"label_agreement":null},{"id":"W3129227655","doi":"","title":"Outreach in the International Research Training Group \"ArcTrain - Processes and impacts of climate change in the North Atlantic Ocean and the Canadian Arctic\"","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Arctic; Oceanography; Climate change; The arctic; Geography; Climatology; Environmental science; Meteorology; Geology","score_opus":0.040835716956670494,"score_gpt":0.27392552110801793,"score_spread":0.23308980415134745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3129227655","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.072166175,0.008014945,0.0051007685,0.48417786,0.13270079,0.0030499077,0.0057741427,0.00074991386,0.28826544],"genre_scores_gemma":[0.12058552,0.00459614,0.004896201,0.052799735,0.016815357,0.0013649683,0.005278176,0.0004235578,0.79324037],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.997035,0.0006524895,0.000065521526,0.00035998048,0.0004064154,0.0014806073],"domain_scores_gemma":[0.97601455,0.0010576643,0.00033428796,0.00027907,0.0023793962,0.019935066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009555034,0.0014099617,0.00070730224,0.000999434,0.0062397863,0.0035067762,0.0020264506,0.0046857814,0.10309308],"category_scores_gemma":[0.004908502,0.0004256293,0.00088333077,0.00082214584,0.0014180696,0.0023592743,0.011157521,0.0063747903,0.012147787],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005039729,0.0013889524,0.005709223,0.0004382948,0.000022371705,0.00067105395,0.0064377626,0.00076017313,0.004493702,0.0057810824,0.900541,0.07325245],"study_design_scores_gemma":[0.00011972478,0.00036620445,0.010624101,0.00034752314,0.000011804258,0.00012297292,0.011635978,0.00044233352,0.0006782285,0.0017159231,0.9739101,0.000025023573],"about_ca_topic_score_codex":0.032948945,"about_ca_topic_score_gemma":0.11274967,"teacher_disagreement_score":0.967051,"about_ca_system_score_codex":0.0049096695,"about_ca_system_score_gemma":0.0372914,"threshold_uncertainty_score":0.34488076},"labels":[],"label_agreement":null},{"id":"W3129374353","doi":"","title":"Natural and anthropogenic inputs of trace elements to the surface- and ground-waters in the Athabasca Bituminous Sands region, Alberta, Canada","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Oil sands; Asphalt; Natural (archaeology); Geology; Environmental science; Hydrology (agriculture); Groundwater; Mining engineering; Physical geography; Archaeology; Geography; Geotechnical engineering","score_opus":0.011876201136288348,"score_gpt":0.22525951401173255,"score_spread":0.2133833128754442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3129374353","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99118024,0.0008631431,0.00015709428,0.00020384548,0.00001092527,0.00003190751,0.0031238266,0.00002334811,0.0044057695],"genre_scores_gemma":[0.99306196,0.0008165078,0.00045253587,0.000048823673,0.0000029150597,0.000011382963,0.0010719376,0.000006931713,0.004526893],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996834,0.000024320881,0.000019795832,0.00004561836,0.00012790594,0.000099027784],"domain_scores_gemma":[0.99957746,0.000024867591,0.00004737428,0.000007702269,0.00026951186,0.000073030555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002040953,0.00033182892,0.0002696853,0.0016869233,0.0018531088,0.0012123032,0.00070730457,0.00024490646,0.0014789659],"category_scores_gemma":[0.0003395186,0.00019669773,0.0002571925,0.0032111455,0.00077516085,0.00024453478,0.0005379379,0.00026914972,0.00014910339],"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":[0.0004819815,0.00007980301,0.9567116,0.00025459877,0.00016382153,0.000693209,0.0023992984,0.0022158532,0.006373659,0.0008601342,0.0027745487,0.02699145],"study_design_scores_gemma":[0.000009119493,0.000011785485,0.99517715,0.000022488372,0.000018656108,0.000054586246,0.0021075492,0.00053277967,0.0002995994,0.000048684702,0.0017086639,0.0000088323095],"about_ca_topic_score_codex":0.9963548,"about_ca_topic_score_gemma":0.9987716,"teacher_disagreement_score":0.022667002,"about_ca_system_score_codex":0.022667002,"about_ca_system_score_gemma":0.019661041,"threshold_uncertainty_score":0.16446143},"labels":[],"label_agreement":null},{"id":"W3130585798","doi":"","title":"Storm Tracks Across Eastern Canada","year":2013,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Storm; Geography; Climatology; Meteorology; Geology","score_opus":0.011377438841596336,"score_gpt":0.2217242803858427,"score_spread":0.21034684154424635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130585798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82178646,0.0026617765,0.00091493473,0.0029383337,0.00020636705,0.00019235304,0.04250336,0.00029532792,0.12850104],"genre_scores_gemma":[0.8606006,0.0016052715,0.0012165643,0.00039842023,0.000025671974,0.00005725579,0.0110073835,0.00008307723,0.12500574],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996327,0.00001612047,0.00001458014,0.000058991198,0.00011746231,0.00016017085],"domain_scores_gemma":[0.9989806,0.000032677846,0.00006501742,0.0000261192,0.00069042546,0.00020514526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019550667,0.00023582418,0.0002643583,0.0018889721,0.0053019654,0.0020098141,0.00052054285,0.0003741568,0.011836243],"category_scores_gemma":[0.0007240898,0.00023035864,0.00022620974,0.005473177,0.0004240244,0.00040633848,0.0009324454,0.000487318,0.0012228488],"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":[0.0003618221,0.0000869292,0.73459166,0.00024845602,0.00014995401,0.0009421716,0.009424555,0.001967115,0.0022502071,0.0037331139,0.11853798,0.12770605],"study_design_scores_gemma":[0.000009570317,0.0000108273625,0.9073132,0.00007816576,0.00002504597,0.00009113073,0.0072339927,0.00054671086,0.00019633693,0.00013556895,0.08434079,0.000018647943],"about_ca_topic_score_codex":0.99647456,"about_ca_topic_score_gemma":0.9993819,"teacher_disagreement_score":0.02163776,"about_ca_system_score_codex":0.02163776,"about_ca_system_score_gemma":0.043848045,"threshold_uncertainty_score":0.15699369},"labels":[],"label_agreement":null},{"id":"W3130989273","doi":"","title":"How is Silurian-Early Devonian faulting in the North America continental interior related to orogenic processes at plate boundaries? A working hypothesis from the Canadian North","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Devonian; Geology; Plate tectonics; Paleontology; Continental drift; Continental margin; Tectonics","score_opus":0.03502020911901983,"score_gpt":0.21000528641598842,"score_spread":0.1749850772969686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130989273","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9866393,0.0006868635,0.00019800976,0.0005318934,0.000009668589,0.0000069541147,0.000264226,0.0000130576445,0.011650068],"genre_scores_gemma":[0.9983203,0.0003262778,0.00010617559,0.00005392173,0.000005339396,0.0000021869353,0.00018419304,0.0000048591746,0.0009966824],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996815,0.000019555486,0.000016060441,0.000101339625,0.000033691125,0.00014784635],"domain_scores_gemma":[0.99873096,0.00012347802,0.00033245274,0.000067314424,0.00058925035,0.00015665633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004555169,0.00028448945,0.000329374,0.0019804838,0.0020503092,0.0019877374,0.00076393597,0.00047257866,0.0050516054],"category_scores_gemma":[0.002258654,0.00028645317,0.000335322,0.0029152469,0.0029238379,0.0012340918,0.00089299673,0.0005517814,0.00026398955],"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":[0.00019051587,0.00002622079,0.9602371,0.00011197778,0.00009682832,0.00024550085,0.0056032916,0.0014696893,0.006002311,0.0057827192,0.0005909696,0.019642938],"study_design_scores_gemma":[0.000006354901,0.000008012231,0.9955047,0.00003152874,0.000024150211,0.000023182633,0.0024249025,0.00028394084,0.00015278767,0.0004451921,0.0010864742,0.000008847273],"about_ca_topic_score_codex":0.90645486,"about_ca_topic_score_gemma":0.9558548,"teacher_disagreement_score":0.09354514,"about_ca_system_score_codex":0.009200981,"about_ca_system_score_gemma":0.009717222,"threshold_uncertainty_score":0.18819207},"labels":[],"label_agreement":null},{"id":"W3131428112","doi":"","title":"Comparing the composition and metal content of Mt Polley mine tailing deposits and natural sediments in Quesnel Lake, British Columbia","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Composition (language); Natural (archaeology); Geology; Tailings; Geochemistry; Mineralogy; Environmental science; Mining engineering; Metallurgy; Paleontology","score_opus":0.02341703111773363,"score_gpt":0.23700383032779276,"score_spread":0.21358679921005913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3131428112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972211,0.00014192601,0.000044731252,0.000045227334,0.000002046773,0.000009854652,0.00051902566,0.0000062215668,0.0020098744],"genre_scores_gemma":[0.99692327,0.0001435906,0.00012214521,0.000039445447,0.0000011684558,0.000007287377,0.00031981897,0.000004358261,0.0024389434],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997137,0.000021061358,0.000027680991,0.00006318947,0.00009416111,0.00008020515],"domain_scores_gemma":[0.99939716,0.000052464453,0.00006151659,0.000015249647,0.00038384416,0.0000897671],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018216607,0.0001848688,0.00021048612,0.0025072098,0.0025115614,0.0013006936,0.0005734365,0.0003467959,0.0016748155],"category_scores_gemma":[0.00076691515,0.00027430948,0.00011457031,0.002781626,0.00074243214,0.00027773585,0.0007348414,0.00022015606,0.00024798076],"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":[0.00027305642,0.000049861846,0.9667421,0.00010941361,0.00007927608,0.00048374865,0.0041936426,0.0002393387,0.011595374,0.00015827124,0.00074722373,0.015328607],"study_design_scores_gemma":[0.0000031049763,0.000008351986,0.9960465,0.000014014758,0.000010685073,0.0000486341,0.0025556653,0.000109387605,0.00045523414,0.000012219157,0.00073257525,0.0000035763148],"about_ca_topic_score_codex":0.96863425,"about_ca_topic_score_gemma":0.9917394,"teacher_disagreement_score":0.031365752,"about_ca_system_score_codex":0.006046149,"about_ca_system_score_gemma":0.0044913236,"threshold_uncertainty_score":0.063100874},"labels":[],"label_agreement":null},{"id":"W3132476687","doi":"","title":"Responses of power systems in Canada to the space weather disturbances of the solar cycle 24","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Solar and Space Plasma Dynamics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Space weather; Meteorology; Space (punctuation); Power (physics); Climatology; Environmental science; Computer science; Geography; Physics; Geology","score_opus":0.016810193678120748,"score_gpt":0.22814783951774242,"score_spread":0.21133764583962167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3132476687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96931267,0.00028173663,0.00018782371,0.0013670168,0.000041948122,0.00009346953,0.0021327462,0.000030452144,0.02655216],"genre_scores_gemma":[0.99140936,0.00020450624,0.00008900148,0.00013243855,0.0000045368356,0.0000085600495,0.00046328557,0.000007980305,0.0076803435],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99920565,0.00008292818,0.000026203836,0.000053147727,0.00028933157,0.00034270782],"domain_scores_gemma":[0.9974503,0.00017846197,0.00015758062,0.000037265658,0.0017170698,0.00045929418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043096914,0.00022462296,0.00027258284,0.0006500014,0.0023664865,0.0023340376,0.00075827434,0.00066397415,0.004811732],"category_scores_gemma":[0.003247655,0.00023266887,0.0002717258,0.0018494846,0.00074812776,0.00036113654,0.0008082773,0.00055124494,0.0004123594],"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":[0.0017402217,0.0002374921,0.8393864,0.00024379787,0.00023132078,0.0020889654,0.009732474,0.06353783,0.004850357,0.0080984235,0.029136783,0.040715896],"study_design_scores_gemma":[0.000049376482,0.00009863178,0.9403743,0.00004146046,0.00003392952,0.000080876285,0.019127792,0.011300456,0.00069436914,0.00051137665,0.027631419,0.000056051827],"about_ca_topic_score_codex":0.99700314,"about_ca_topic_score_gemma":0.9985808,"teacher_disagreement_score":0.047914796,"about_ca_system_score_codex":0.047914796,"about_ca_system_score_gemma":0.03270724,"threshold_uncertainty_score":0.3476478},"labels":[],"label_agreement":null},{"id":"W3134012516","doi":"","title":"Estimation of mixing in the troposphere from Lagrangian trace gas reconstructions during long-range pollution plume transport","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Atmospheric chemistry and aerosols","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":"Dalhousie University","funders":"","keywords":"Troposphere; Plume; Thermal diffusivity; Mixing (physics); Trace gas; TRACER; Atmospheric sciences; Environmental science; Range (aeronautics); Turbulence; Dispersion (optics); Eddy diffusion; Meteorology; Geology; Physics; Materials science; Thermodynamics","score_opus":0.013030937693588018,"score_gpt":0.21612595271823432,"score_spread":0.2030950150246463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134012516","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910719,0.000030850275,0.008513295,0.00002180449,0.0000026448242,0.0000044285666,0.00008392615,0.000052843847,0.00021843798],"genre_scores_gemma":[0.994902,0.000032763823,0.004797325,0.000002329494,0.0000021138153,0.0000054431002,0.00017656184,0.0000094436955,0.00007195428],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99994946,0.000014906669,0.0000036724155,0.00000922154,0.000012740479,0.000009982089],"domain_scores_gemma":[0.999775,0.00010729067,0.000039423532,0.000021260828,0.00003379159,0.000023146256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037826216,0.00039502085,0.00026461476,0.00053939095,0.00031651597,0.00044161777,0.00035018497,0.0003550143,0.00023370939],"category_scores_gemma":[0.0012271538,0.00026705064,0.00044809107,0.00035659835,0.00020255389,0.00044503808,0.000377386,0.00033060185,0.000052609666],"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":[0.00014833194,0.00009948663,0.09402212,0.00003255128,0.00011958052,0.000114166665,0.00016483299,0.85236603,0.035702575,0.0009221104,0.00009827789,0.016209867],"study_design_scores_gemma":[0.000008696629,0.000017464958,0.012946758,0.0000025629026,0.000009689447,0.000009986933,0.000016094307,0.98315537,0.0036264432,0.00014404813,0.000056575132,0.000006376726],"about_ca_topic_score_codex":0.024027327,"about_ca_topic_score_gemma":0.01806424,"teacher_disagreement_score":0.024027327,"about_ca_system_score_codex":0.0008088872,"about_ca_system_score_gemma":0.0005748889,"threshold_uncertainty_score":0.04777491},"labels":[],"label_agreement":null},{"id":"W3134212642","doi":"","title":"Land-atmosphere coupling over North America in the Canadian Regional Climate Model (CRCM5) simulations for current and future climates","year":2014,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Atmosphere (unit); Current (fluid); Climate model; Environmental science; Climatology; Meteorology; Coupling (piping); Climate change; Atmospheric sciences; Geography; Geology; Oceanography; Engineering","score_opus":0.035550551089144546,"score_gpt":0.2730375225125108,"score_spread":0.23748697142336625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134212642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97568375,0.0007987042,0.0012581996,0.0018792424,0.00016983294,0.00005102472,0.009113442,0.0004514394,0.01059438],"genre_scores_gemma":[0.993978,0.0003188826,0.0009862125,0.00014403793,0.000019969699,0.000022940529,0.0027531956,0.00009180299,0.0016849259],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996061,0.000059982383,0.000021415584,0.00010431744,0.000069787995,0.00013840299],"domain_scores_gemma":[0.999271,0.00014063688,0.000040877272,0.000039851748,0.0003531725,0.00015451996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008868492,0.0008010815,0.0006899741,0.00076971494,0.0025143584,0.0022133042,0.0020727986,0.0017717842,0.0034096842],"category_scores_gemma":[0.0026906175,0.0007205145,0.0011068991,0.0017100339,0.0008727384,0.0014599097,0.0007671696,0.0015000998,0.00033936082],"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":[0.0002328627,0.00016816084,0.05172086,0.000107922846,0.00028992837,0.0001469745,0.0002927758,0.9252849,0.0014802347,0.004076934,0.009974191,0.0062242723],"study_design_scores_gemma":[0.00020995365,0.000023881646,0.069677666,0.000044479224,0.00015407398,0.00002194211,0.00036080333,0.9232049,0.00058968435,0.00084289577,0.0047485223,0.00012125349],"about_ca_topic_score_codex":0.9914517,"about_ca_topic_score_gemma":0.98873293,"teacher_disagreement_score":0.01973854,"about_ca_system_score_codex":0.01973854,"about_ca_system_score_gemma":0.02354546,"threshold_uncertainty_score":0.14321381},"labels":[],"label_agreement":null},{"id":"W3134280783","doi":"","title":"A melt inclusion study of the Sudbury Igneous Complex (Ontario, Canada): preliminary results","year":2013,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Igneous rock; Inclusion (mineral); Geology; Melt inclusions; Pluton; Geochemistry; Mineralogy; Paleontology","score_opus":0.031565397652396944,"score_gpt":0.23941870737372406,"score_spread":0.20785330972132712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134280783","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993608,0.00023482445,0.00026842306,0.0000554601,0.0000027124104,0.00008896888,0.0017719168,0.000014804423,0.003954874],"genre_scores_gemma":[0.98894995,0.0004098121,0.0010843175,0.000042162683,0.0000048243523,0.00006262548,0.002328053,0.000028390523,0.0070897536],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99939036,0.0000408352,0.000023930505,0.00008079226,0.0002643063,0.00019963828],"domain_scores_gemma":[0.99885035,0.00010161717,0.00012541968,0.000056264358,0.0006957534,0.00017067863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004814356,0.00051579665,0.0009531702,0.0020145683,0.0048197806,0.0013375105,0.0012081284,0.0005371609,0.0023532833],"category_scores_gemma":[0.001368119,0.00032773204,0.00080477464,0.003935519,0.0010397077,0.0005605379,0.0013397614,0.0004255305,0.0003543529],"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":[0.005714753,0.0013880992,0.81564456,0.0009870536,0.000698658,0.0022978832,0.012379924,0.016197553,0.058660198,0.0021728387,0.005108258,0.078750245],"study_design_scores_gemma":[0.000071902534,0.00016777942,0.98081756,0.000042745556,0.0002087533,0.00008940584,0.0033536435,0.0033932577,0.0042684497,0.000113222166,0.0074443617,0.000028903514],"about_ca_topic_score_codex":0.9923114,"about_ca_topic_score_gemma":0.99713033,"teacher_disagreement_score":0.02293176,"about_ca_system_score_codex":0.02293176,"about_ca_system_score_gemma":0.02291574,"threshold_uncertainty_score":0.16638237},"labels":[],"label_agreement":null},{"id":"W3134606421","doi":"","title":"Distribution of mercury species and mercury isotope ratios in soils and river suspended matter of a mercury mining area","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Mercury impact and mitigation studies","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":"Trent University","funders":"","keywords":"Cinnabar; Mercury (programming language); Soil water; Environmental chemistry; Organic matter; Tributary; Sediment; Chemistry; Isotope; Stable isotope ratio; Environmental science; Mineralogy; Geology; Hydrology (agriculture); Soil science","score_opus":0.030647380758280225,"score_gpt":0.26138402176244874,"score_spread":0.23073664100416852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134606421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992489,0.00007724645,0.000048225902,0.0000032353898,7.743076e-7,0.0000022926467,0.00021080267,0.000005109904,0.00040326756],"genre_scores_gemma":[0.9990509,0.00008328091,0.00017398599,0.0000060965617,0.000002611704,0.0000042993374,0.00035019947,0.0000035633782,0.00032510314],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998803,0.000010188384,0.000010596941,0.00005310759,0.000025351741,0.00002033277],"domain_scores_gemma":[0.9998758,0.000013306865,0.000044647484,0.000007107195,0.00003467831,0.00002439435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009731491,0.00019806632,0.00021254296,0.0010962929,0.0002490755,0.00058183266,0.00019012087,0.00020540527,0.00049603404],"category_scores_gemma":[0.00016622507,0.00015868447,0.0001687895,0.0008200927,0.00030749288,0.00013203116,0.00023379964,0.000110722205,0.00019093965],"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":[0.00024543275,0.000048782418,0.90915424,0.00005825687,0.0001178771,0.00034523412,0.00072798145,0.00025937377,0.08058799,0.00005060368,0.00008801644,0.008316204],"study_design_scores_gemma":[0.0000019003743,0.000021963046,0.9983157,0.0000019549925,0.000010538457,0.000110562905,0.0001789107,0.000106200016,0.001051286,0.000008244638,0.00019005538,0.0000027859014],"about_ca_topic_score_codex":0.011875448,"about_ca_topic_score_gemma":0.013251884,"teacher_disagreement_score":0.011875448,"about_ca_system_score_codex":0.00036391016,"about_ca_system_score_gemma":0.00018845897,"threshold_uncertainty_score":0.023612678},"labels":[],"label_agreement":null},{"id":"W3134622493","doi":"","title":"Simulation of self-lofting of smoke in the stratosphere from the \"mother of all pyroCb\" British Columbia injection on August 12, 2017","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stratosphere; Smoke; Meteorology; Climatology; Environmental science; History; Geography; Geology","score_opus":0.034843882921983226,"score_gpt":0.2544746279902247,"score_spread":0.21963074506824146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134622493","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9848289,0.000068845744,0.00079973286,0.00067625375,0.00009175464,0.000046027697,0.0012677673,0.00026329505,0.011957411],"genre_scores_gemma":[0.9960115,0.000028038463,0.00034989853,0.00011007159,0.000008264412,0.000017218059,0.00086034526,0.00004113816,0.0025734513],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997993,0.000018044408,0.000004261501,0.000025387306,0.00003867744,0.000114224094],"domain_scores_gemma":[0.9993648,0.00018049256,0.000039691025,0.000030701838,0.00012301319,0.00026125397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003538587,0.00086936203,0.0007201027,0.0005604164,0.001821974,0.0010364382,0.0017794719,0.002758622,0.0054020453],"category_scores_gemma":[0.0014553596,0.00064479915,0.00092733325,0.0005389441,0.0015214187,0.0006452743,0.001184386,0.0022048717,0.00034615607],"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":[0.0006095032,0.00038219293,0.021719132,0.000041061852,0.0000903899,0.00048127965,0.00016094866,0.96711195,0.0024828496,0.0015947471,0.0033001194,0.0020257954],"study_design_scores_gemma":[0.00028964723,0.000109957604,0.011686936,0.0000121856165,0.000034054603,0.000019663164,0.00019715827,0.98582584,0.00094320247,0.00032233322,0.0005264184,0.000032539258],"about_ca_topic_score_codex":0.64284855,"about_ca_topic_score_gemma":0.49182302,"teacher_disagreement_score":0.35715145,"about_ca_system_score_codex":0.00438876,"about_ca_system_score_gemma":0.0048795072,"threshold_uncertainty_score":0.71850955},"labels":[],"label_agreement":null},{"id":"W3135107565","doi":"","title":"Lateral variations in structural styles along the central Alberta Foothills of the Canadian Rockies","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Foothills; Geology; Physical geography; Geography; Cartography","score_opus":0.012301215947872769,"score_gpt":0.23023361604496073,"score_spread":0.21793240009708797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135107565","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888227,0.00026540156,0.0001437934,0.00010535079,0.0000074566633,0.000020043906,0.0013868025,0.000021777405,0.009226751],"genre_scores_gemma":[0.9948526,0.0001693948,0.0003195805,0.00002998654,0.0000024672381,0.000009699766,0.0006690914,0.000009301435,0.00393795],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995659,0.000023066501,0.0000124555545,0.000079193735,0.00016333286,0.00015593493],"domain_scores_gemma":[0.99919707,0.00004179095,0.00007518548,0.000015470514,0.0005439629,0.00012651648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029760698,0.00031599947,0.00025687783,0.0028118934,0.002899673,0.0016843998,0.000749063,0.00043511202,0.0036879508],"category_scores_gemma":[0.0007535575,0.00031735384,0.00026920697,0.004018871,0.0011786473,0.00025600742,0.00093289954,0.00030726113,0.00047446744],"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":[0.0003382089,0.00005230791,0.9388625,0.000085040905,0.00012558777,0.00036320346,0.006154577,0.0026425985,0.006539942,0.000980337,0.004127728,0.03972797],"study_design_scores_gemma":[0.000002479747,0.000004113772,0.9963774,0.00001401364,0.000007148517,0.000021991174,0.001986871,0.00025914615,0.0000736472,0.00002228848,0.001223453,0.0000074722875],"about_ca_topic_score_codex":0.99149936,"about_ca_topic_score_gemma":0.998774,"teacher_disagreement_score":0.011328388,"about_ca_system_score_codex":0.011328388,"about_ca_system_score_gemma":0.010710277,"threshold_uncertainty_score":0.08219355},"labels":[],"label_agreement":null},{"id":"W3135257745","doi":"","title":"Lower Ionospheric turbulence variations during the tectonic activity of the last quarter of 2019 in the Hellenic Arc (Greece)","year":2020,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Earthquake Detection and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ionosphere; Geology; Arc (geometry); Quarter (Canadian coin); Geodesy; Meteorology; Geophysics; Geography; Archaeology; Geometry","score_opus":0.01425801418641658,"score_gpt":0.20512998663819698,"score_spread":0.1908719724517804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135257745","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976247,0.00012727265,0.00002659727,0.00008336657,0.000011887572,0.0000025297552,0.0009920658,0.000004499706,0.0011270369],"genre_scores_gemma":[0.99872845,0.00006706641,0.000020603555,0.000019234025,0.000008803677,0.0000022016939,0.00080367137,0.0000023415598,0.00034768932],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992335,0.000005816461,0.00001047812,0.000024096378,0.000009693116,0.000026629483],"domain_scores_gemma":[0.9998259,0.000018038023,0.00005796323,0.000011955777,0.000047609825,0.000038611688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001452951,0.00016982658,0.00019490732,0.0006455071,0.00022343363,0.0007296671,0.00018108627,0.00037658185,0.0015136704],"category_scores_gemma":[0.0003642923,0.00009310863,0.0002150183,0.0009079705,0.00021334171,0.0003154372,0.0005110637,0.00024763227,0.00036574723],"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":[0.00034947685,0.00003575047,0.9832071,0.00007373226,0.00015724942,0.000688224,0.0022638715,0.0008375042,0.003937579,0.00028383938,0.001237341,0.006928381],"study_design_scores_gemma":[0.0000015315044,0.000009492886,0.99894327,0.0000059144254,0.000008790158,0.00004006802,0.0004242288,0.00007596123,0.000048553982,0.000008731431,0.00043153745,0.000002009645],"about_ca_topic_score_codex":0.044709854,"about_ca_topic_score_gemma":0.051328894,"teacher_disagreement_score":0.044709854,"about_ca_system_score_codex":0.00054219813,"about_ca_system_score_gemma":0.0003853488,"threshold_uncertainty_score":0.088899255},"labels":[],"label_agreement":null},{"id":"W3135609688","doi":"","title":"Improvement of a windgust parametrization and application with the Canadian Regional Climate Model in Switzerland","year":2013,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Parametrization (atmospheric modeling); Climate model; Environmental science; Climatology; Climate change; Geography; Geology; Physics","score_opus":0.01167488055571263,"score_gpt":0.20775007680969979,"score_spread":0.19607519625398714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135609688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87589777,0.0006584957,0.052406512,0.0014362569,0.00059111754,0.00035744577,0.020841885,0.012630663,0.03517986],"genre_scores_gemma":[0.9690082,0.00018469774,0.018981734,0.00009815661,0.000046057758,0.00014784938,0.0069112643,0.0017035994,0.0029185186],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969506,0.00006449426,0.000021165184,0.00007234576,0.00007619573,0.000070806345],"domain_scores_gemma":[0.9995222,0.00009613051,0.000023825352,0.000083095314,0.00022011294,0.000054713637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081845594,0.0013489646,0.0008717535,0.00071178295,0.001511615,0.0013573703,0.0017422389,0.0010855611,0.0051340554],"category_scores_gemma":[0.0025039373,0.00069351756,0.0011121331,0.0015890009,0.00045822223,0.0011464079,0.0006740364,0.0013388493,0.00085687946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016037845,0.000074066746,0.0058019734,0.00005638883,0.000068749425,0.000079324825,0.00007353929,0.97551495,0.0020116724,0.0011490163,0.004134229,0.010875713],"study_design_scores_gemma":[0.0002248894,0.000022269787,0.007993098,0.000017774793,0.000043858105,0.0000111777545,0.00003798159,0.9861434,0.0017768574,0.00029087064,0.0033815533,0.000056315024],"about_ca_topic_score_codex":0.81998205,"about_ca_topic_score_gemma":0.7593141,"teacher_disagreement_score":0.81998205,"about_ca_system_score_codex":0.0032835947,"about_ca_system_score_gemma":0.0067008855,"threshold_uncertainty_score":0.3621562},"labels":[],"label_agreement":null},{"id":"W3135681180","doi":"","title":"The Importance of Communicating Uncertainty to the 3D Geological Framework Model of Alberta","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Computer science; Environmental resource management; Environmental science","score_opus":0.07899812160340097,"score_gpt":0.278083400064761,"score_spread":0.19908527846136004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135681180","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5791182,0.0013991009,0.35017878,0.012563777,0.00051447493,0.00010264482,0.0065448554,0.0015028166,0.048075378],"genre_scores_gemma":[0.97800064,0.0002656504,0.019265985,0.00017078832,0.000025223037,0.000016286302,0.0008041867,0.00010487231,0.0013463387],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99820936,0.0007872622,0.000084690735,0.00028699948,0.00049451593,0.00013717094],"domain_scores_gemma":[0.99226815,0.005029366,0.00045983848,0.0006319416,0.0014030645,0.00020775842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031192433,0.0005081086,0.00051039434,0.0008814117,0.0013698733,0.0037108667,0.0016513531,0.0012200042,0.00208799],"category_scores_gemma":[0.029653806,0.0005187592,0.00044145738,0.0015854632,0.0015950674,0.0031695492,0.0018578441,0.0014795236,0.00023956074],"study_design_candidate":"theoretical_or_conceptual","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":[0.00015650329,0.000009646279,0.0055881967,0.00002907351,0.000031937612,0.000049570026,0.00016221378,0.94591683,0.0002539124,0.028807769,0.0014700874,0.017524227],"study_design_scores_gemma":[0.000010645029,0.000008792814,0.0013044229,0.00002814763,0.000018607818,0.000012005829,0.00012257945,0.9670036,0.00039937042,0.028524393,0.0025446792,0.000022846354],"about_ca_topic_score_codex":0.68177336,"about_ca_topic_score_gemma":0.618828,"teacher_disagreement_score":0.31822664,"about_ca_system_score_codex":0.008180022,"about_ca_system_score_gemma":0.010182395,"threshold_uncertainty_score":0.64020145},"labels":[],"label_agreement":null},{"id":"W3137458438","doi":"","title":"Recent changes in the multi-year ice area budget of the Canadian Arctic Archipelago","year":2014,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Archipelago; Arctic; Physical geography; Sea ice; Arctic ice pack; Climatology; Cryosphere; Gulag; Geography; Oceanography; Geology; Archaeology","score_opus":0.029665486294046278,"score_gpt":0.2260763464734275,"score_spread":0.19641086017938122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137458438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.968937,0.00481748,0.00030481434,0.0051348126,0.00014076504,0.000018695713,0.014410561,0.00005471805,0.0061811],"genre_scores_gemma":[0.9891944,0.0020943948,0.00056333136,0.000515426,0.000051589835,0.000012264521,0.00453441,0.000027095002,0.0030071272],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996202,0.00001893261,0.000030607524,0.000079532954,0.00012420236,0.00012652925],"domain_scores_gemma":[0.9977011,0.00010940768,0.00020399735,0.0000505347,0.0016234359,0.00031151838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009912088,0.00045037075,0.00043888023,0.0028990707,0.002590329,0.0024472403,0.001107608,0.0011932084,0.0021544707],"category_scores_gemma":[0.0028184673,0.00039577828,0.0004606081,0.005661189,0.00086591707,0.001118655,0.0009847727,0.0007778473,0.00022108921],"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":[0.00061254395,0.00009315446,0.9177167,0.0003909044,0.0008168994,0.0003685265,0.002168015,0.012665224,0.006080859,0.0026162853,0.013785113,0.04268571],"study_design_scores_gemma":[0.000004951712,0.0000038721773,0.9888694,0.00002665191,0.000037716956,0.000040207506,0.0005339958,0.0011793094,0.00017647307,0.00009275076,0.009013685,0.000020990126],"about_ca_topic_score_codex":0.9888537,"about_ca_topic_score_gemma":0.9951774,"teacher_disagreement_score":0.034833852,"about_ca_system_score_codex":0.034833852,"about_ca_system_score_gemma":0.028291518,"threshold_uncertainty_score":0.25273842},"labels":[],"label_agreement":null},{"id":"W3137547561","doi":"","title":"Influence of Antecedent Hydrologic Conditions on Nitrate and Phosphorus Export from a Small Agricultural Catchment in Southern Ontario, Canada","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Phosphorus; Antecedent (behavioral psychology); Nitrate; Hydrology (agriculture); Environmental science; Drainage basin; Antecedent moisture; Water resource management; Geography; Ecology; Geology; Archaeology; Runoff curve number; Cartography","score_opus":0.009737244331070595,"score_gpt":0.19405138440351957,"score_spread":0.18431414007244898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137547561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99840313,0.000057606616,0.000035203004,0.000098733784,0.000002024713,0.000013299566,0.0003251304,0.000003899303,0.0010609219],"genre_scores_gemma":[0.9985483,0.00010797075,0.000085358886,0.000030812862,0.0000017788502,0.000008370274,0.00022834878,0.000003943711,0.0009851257],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99969876,0.000029316254,0.000018418044,0.000055128417,0.00007560989,0.00012281863],"domain_scores_gemma":[0.9990934,0.00015344146,0.00011367405,0.00001954059,0.00038053264,0.00023945022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002705323,0.0002481932,0.00038416532,0.0007128358,0.0034578093,0.0019151707,0.00076921046,0.0003821917,0.0015917957],"category_scores_gemma":[0.0012318674,0.00028564263,0.0003357876,0.0017532511,0.0013077641,0.00038444472,0.00086808234,0.00039333946,0.00013170259],"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":[0.00042615787,0.00012435192,0.977998,0.00008268818,0.000085406195,0.0010727482,0.0056549488,0.0016757576,0.0032933175,0.00037524826,0.0015138782,0.0076975063],"study_design_scores_gemma":[0.000019873027,0.000016167585,0.9932272,0.000015751324,0.000024952904,0.000059285612,0.0044696364,0.0009664294,0.00016165034,0.000056127654,0.0009700792,0.000012835911],"about_ca_topic_score_codex":0.995106,"about_ca_topic_score_gemma":0.9984005,"teacher_disagreement_score":0.030094726,"about_ca_system_score_codex":0.030094726,"about_ca_system_score_gemma":0.022850413,"threshold_uncertainty_score":0.21835357},"labels":[],"label_agreement":null},{"id":"W3138159720","doi":"","title":"Basin-Wide Decadal Changes of Labrador Sea Water Observed at 47°/48°N in the North Atlantic","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Oceanography; Geology; North Atlantic Deep Water; Structural basin; Gulf Stream; Thermohaline circulation; Paleontology","score_opus":0.047459265886544394,"score_gpt":0.21321684552911005,"score_spread":0.16575757964256566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138159720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972185,0.00006375255,0.000028290566,0.00006304378,0.000008863604,0.0000025317656,0.0017349264,0.000011136678,0.00086890714],"genre_scores_gemma":[0.9980021,0.000058203274,0.000054487235,0.000028548056,0.0000076155707,0.0000039058227,0.0014413275,0.0000042420515,0.0003994925],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99991405,0.0000088500865,0.000008423729,0.00002515307,0.000013473321,0.000030016388],"domain_scores_gemma":[0.99972266,0.000027045573,0.0000759505,0.000021669477,0.00008339541,0.000069254755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022843022,0.00014964507,0.00019114694,0.00061764463,0.00034618218,0.000522179,0.0002500916,0.000328583,0.0013881617],"category_scores_gemma":[0.00033815703,0.00012073814,0.00020770439,0.00077867607,0.00021645776,0.00023946165,0.0004401615,0.00023055817,0.0003458775],"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":[0.00025469653,0.00004106769,0.9899643,0.000026567945,0.000111004556,0.00007777256,0.0003469177,0.00040426833,0.0039495546,0.000072127135,0.00092098885,0.0038307202],"study_design_scores_gemma":[0.0000024389612,0.0000050222757,0.9992112,0.0000030871697,0.000010895156,0.000008388444,0.00013752693,0.00011963895,0.00009556631,0.0000035267717,0.00040111996,0.0000016622503],"about_ca_topic_score_codex":0.16945775,"about_ca_topic_score_gemma":0.29654104,"teacher_disagreement_score":0.16945775,"about_ca_system_score_codex":0.0008596859,"about_ca_system_score_gemma":0.000653152,"threshold_uncertainty_score":0.33694273},"labels":[],"label_agreement":null},{"id":"W3138617724","doi":"","title":"Integrated corner reflector InSAR, SI and GPS characterization of complex earth slide deformations, Little Smoky River, Alberta, Canada","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Interferometric synthetic aperture radar; Global Positioning System; Remote sensing; Geodesy; Reflector (photography); Characterization (materials science); Corner reflector; Synthetic aperture radar; Engineering; Optics; Telecommunications","score_opus":0.014638454068004634,"score_gpt":0.2159736006102583,"score_spread":0.20133514654225368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138617724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9584689,0.00034495874,0.0093270065,0.00024755526,0.000032748754,0.00007442711,0.0061475644,0.0007854943,0.024571292],"genre_scores_gemma":[0.96705383,0.00017397056,0.009378724,0.00004414045,0.00000622848,0.00001922681,0.0040294896,0.00010866449,0.019185737],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998159,0.000006450578,0.000003848654,0.000033600092,0.00010106581,0.000039216946],"domain_scores_gemma":[0.9996896,0.000011714819,0.000013201155,0.000012113148,0.00024304815,0.000030336561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020914896,0.00028991033,0.00028428502,0.00073872734,0.0011686884,0.0008046785,0.0005716697,0.00021032321,0.0025145307],"category_scores_gemma":[0.00036363793,0.00020856327,0.0001355138,0.0015895852,0.00031618722,0.0002598312,0.00026834567,0.00025138803,0.00056389434],"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":[0.0010406777,0.00024132921,0.53725934,0.00017716126,0.00020913775,0.0006258753,0.0012718721,0.087565556,0.07866401,0.0017427456,0.02614934,0.2650529],"study_design_scores_gemma":[0.000065116146,0.00005825246,0.85586154,0.000025112056,0.00006744276,0.00009967157,0.0012373943,0.121229604,0.009251911,0.00027322344,0.011771704,0.000058929345],"about_ca_topic_score_codex":0.96811867,"about_ca_topic_score_gemma":0.9913346,"teacher_disagreement_score":0.031881332,"about_ca_system_score_codex":0.0039107464,"about_ca_system_score_gemma":0.009020453,"threshold_uncertainty_score":0.064138114},"labels":[],"label_agreement":null},{"id":"W3138900132","doi":"","title":"Changes of mean relative sea level around Canada in the 20th and 21st centuries","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Physical geography","score_opus":0.09323171305937775,"score_gpt":0.241620569679211,"score_spread":0.14838885661983325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138900132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96877164,0.0047018467,0.0000819642,0.0016270593,0.00007942493,0.0000104495675,0.0074786106,0.000027033024,0.017221915],"genre_scores_gemma":[0.9891205,0.0018889487,0.00013433817,0.00014244256,0.000021392492,0.000004638304,0.0020636066,0.000016189719,0.0066080415],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99946815,0.000025781705,0.000031078333,0.000078899764,0.00015071883,0.00024535204],"domain_scores_gemma":[0.9979437,0.000095040625,0.00022765665,0.000035059384,0.001345022,0.0003534651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043628615,0.00026771906,0.00037396813,0.0028872658,0.0029926284,0.0025181463,0.0006475093,0.00070139393,0.0034654718],"category_scores_gemma":[0.0020973084,0.00027049024,0.0004912597,0.0071627204,0.0013285752,0.0006360645,0.0012277097,0.00069844804,0.0003415704],"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":[0.0004176877,0.00003034371,0.94288886,0.00029935635,0.00028505374,0.0006267216,0.006926281,0.002402104,0.0011596623,0.0068932115,0.007887964,0.030182755],"study_design_scores_gemma":[0.0000069004595,0.000008031107,0.9863686,0.000051645275,0.000021037578,0.00007280574,0.0014908006,0.00027572678,0.000076745375,0.000094746465,0.0115160225,0.000016996875],"about_ca_topic_score_codex":0.99355644,"about_ca_topic_score_gemma":0.99780947,"teacher_disagreement_score":0.031359144,"about_ca_system_score_codex":0.031359144,"about_ca_system_score_gemma":0.0326415,"threshold_uncertainty_score":0.22752756},"labels":[],"label_agreement":null},{"id":"W3138926427","doi":"","title":"Greening dynamics of vegetation in the high latitudes: case study of the George river basin (Nunavik, Canada) from 1985-2015 Landsat data","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"George (robot); Vegetation (pathology); Greening; Geography; Structural basin; Latitude; Physical geography; Remote sensing; Geology; Ecology; History; Geomorphology","score_opus":0.05228887133112387,"score_gpt":0.26075045812899983,"score_spread":0.20846158679787596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138926427","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874242,0.00078740605,0.00016152424,0.00022733731,0.000007685554,0.00002346568,0.008591624,0.000023654055,0.0027531465],"genre_scores_gemma":[0.9925358,0.00055772846,0.0005344235,0.000046260222,0.0000031817647,0.000008966944,0.0046957764,0.000010346867,0.0016075268],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997919,0.000016465765,0.000013767873,0.00004139619,0.000055707533,0.00008075485],"domain_scores_gemma":[0.9994697,0.000049388324,0.00007271261,0.000028638011,0.0002827964,0.00009680061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036737218,0.00022352739,0.00020310235,0.0017636276,0.00096789293,0.0010283147,0.00061058183,0.00025512534,0.00089125364],"category_scores_gemma":[0.00083964225,0.00017617678,0.00041911518,0.0049056476,0.0005801141,0.00033068034,0.0005217345,0.00031352887,0.000093614224],"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":[0.00011414155,0.000042847554,0.9633332,0.00015786271,0.00020401501,0.00070006045,0.0023052653,0.0063692406,0.001360407,0.0007007398,0.0049358504,0.019776305],"study_design_scores_gemma":[0.000003689691,0.0000045452457,0.9927604,0.000041096584,0.000031986954,0.00005329347,0.0017573633,0.001592536,0.0001688209,0.000047216206,0.0035265284,0.00001258876],"about_ca_topic_score_codex":0.99549603,"about_ca_topic_score_gemma":0.9986229,"teacher_disagreement_score":0.012698479,"about_ca_system_score_codex":0.012698479,"about_ca_system_score_gemma":0.013466972,"threshold_uncertainty_score":0.092134416},"labels":[],"label_agreement":null},{"id":"W3140491731","doi":"","title":"Magma chamber processes inferred from plagioclase composition: The Sept Iles layered intrusion, Canada","year":2013,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Plagioclase; Layered intrusion; Magma chamber; Intrusion; Geology; Magma; Geochemistry; Composition (language); Volcano; Quartz; Paleontology","score_opus":0.014209645537841972,"score_gpt":0.19052656838272297,"score_spread":0.17631692284488099,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3140491731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99216,0.00019654003,0.00014696603,0.00022221768,0.000005589403,0.000011792299,0.0010904483,0.00002645415,0.006139976],"genre_scores_gemma":[0.99701947,0.0001333644,0.00020383776,0.000025041922,0.00000142943,0.00000276547,0.00030521362,0.00001195494,0.0022968093],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981636,0.000005312787,0.000007587085,0.00003668579,0.00006408356,0.00006996442],"domain_scores_gemma":[0.9994554,0.000032699238,0.000038107493,0.000012471387,0.00039243416,0.000068805166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022696567,0.00026409858,0.00027771914,0.0011082581,0.0027435983,0.0015504203,0.0007369442,0.00040541764,0.0018506215],"category_scores_gemma":[0.0007016506,0.00031715786,0.00025792822,0.0012649815,0.00076176156,0.0005047969,0.00056072226,0.00047183977,0.00018710911],"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":[0.0006643359,0.00009577487,0.93181753,0.000080631,0.00014198563,0.0004528261,0.0034641442,0.003808559,0.028846845,0.0017363615,0.0028567924,0.02603415],"study_design_scores_gemma":[0.000016017619,0.000012596376,0.9896723,0.000025907755,0.000029333154,0.00004451291,0.0015952792,0.0020033983,0.0030163268,0.000069841015,0.0034964366,0.000018096034],"about_ca_topic_score_codex":0.99527526,"about_ca_topic_score_gemma":0.99839896,"teacher_disagreement_score":0.024772411,"about_ca_system_score_codex":0.024772411,"about_ca_system_score_gemma":0.018395614,"threshold_uncertainty_score":0.17973727},"labels":[],"label_agreement":null},{"id":"W3141505454","doi":"","title":"Does the absence of sea ice in the Arctic have an influence on the occurrence of extreme events over the Eastern part of Canada","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sea ice; Arctic ice pack; Climatology; Arctic; Oceanography; The arctic; Arctic sea ice decline; Geography; Physical geography; Geology; Antarctic sea ice","score_opus":0.03069070045219646,"score_gpt":0.23707424593915355,"score_spread":0.2063835454869571,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3141505454","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98644364,0.0009162286,0.00008753417,0.0021655797,0.000065611486,0.000009471775,0.0017572356,0.0000099466715,0.008544812],"genre_scores_gemma":[0.9979096,0.0004446098,0.00003306838,0.00013570803,0.000020390156,0.0000016096051,0.00037717246,0.000009720241,0.0010680893],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99929726,0.000055079792,0.00003675998,0.00011327419,0.00016915494,0.00032841522],"domain_scores_gemma":[0.99462503,0.0005347145,0.0009895328,0.00015046615,0.0021245177,0.0015756908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067450415,0.0002497573,0.00038708292,0.0011873444,0.002758244,0.002605349,0.0013682285,0.0008330664,0.0061184797],"category_scores_gemma":[0.0041106106,0.00034798018,0.00094147155,0.0025033774,0.0013713046,0.00065434666,0.0010761654,0.001096459,0.00038576708],"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":[0.0001679799,0.000030292504,0.99321246,0.000025522935,0.00021940804,0.00011732268,0.00062948355,0.00038897403,0.00042246396,0.0003617239,0.0011245884,0.0032997732],"study_design_scores_gemma":[0.0000039540705,0.000005282227,0.997758,0.000021339289,0.000045373454,0.000020345436,0.0011206036,0.00016447452,0.000041927862,0.00003272943,0.00077729876,0.000008825034],"about_ca_topic_score_codex":0.9915115,"about_ca_topic_score_gemma":0.9954476,"teacher_disagreement_score":0.012260819,"about_ca_system_score_codex":0.012260819,"about_ca_system_score_gemma":0.026536647,"threshold_uncertainty_score":0.08895892},"labels":[],"label_agreement":null},{"id":"W3142672821","doi":"","title":"Assessing The Value of Hydrological Ensemble Predictions for Rio Tinto Alcan's Hydropower System in Eastern Canada","year":2012,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hydropower; Geography; Hydrology (agriculture); Environmental science; Geology; Engineering","score_opus":0.027213916246657897,"score_gpt":0.2669201098228363,"score_spread":0.23970619357617842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3142672821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99629647,0.00015165025,0.0004096932,0.00040516,0.00001650758,0.000011721445,0.0011130718,0.00005975831,0.0015359723],"genre_scores_gemma":[0.99809426,0.000104480525,0.00050803693,0.000025974834,0.000005784681,0.0000037969912,0.00082170346,0.000008798893,0.00042714668],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945766,0.00014297981,0.00003977281,0.000104163286,0.00014917628,0.00010629373],"domain_scores_gemma":[0.9963838,0.0014391715,0.0002442175,0.00020239141,0.0014066391,0.0003237307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016961165,0.0004903245,0.0003873967,0.0006904382,0.0009367192,0.0023526675,0.0010761454,0.0007506927,0.00061758485],"category_scores_gemma":[0.0072769765,0.00028125185,0.00037012732,0.0011050291,0.00047998072,0.000901643,0.0007134723,0.00070575456,0.00010303224],"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":[0.00036676062,0.00020309728,0.43559247,0.000058969887,0.00045891185,0.00030039082,0.0003111262,0.53244287,0.0007390861,0.0010833996,0.0022223953,0.02622045],"study_design_scores_gemma":[0.000060259357,0.00004014816,0.17372271,0.00003704404,0.00013005697,0.00003205656,0.00093323365,0.82243204,0.0006880748,0.0005036406,0.0013726631,0.00004811828],"about_ca_topic_score_codex":0.96891207,"about_ca_topic_score_gemma":0.97636104,"teacher_disagreement_score":0.031087935,"about_ca_system_score_codex":0.012711118,"about_ca_system_score_gemma":0.011300544,"threshold_uncertainty_score":0.09222609},"labels":[],"label_agreement":null},{"id":"W3143405671","doi":"","title":"Subsurface 3-D geophysical modelling of the Charity Shoal suspected impact structure, Lake Ontario, Canada","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Shoal; Geology; Oceanography; Geophysics","score_opus":0.026209244215935585,"score_gpt":0.22797266440259806,"score_spread":0.20176342018666246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3143405671","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94513863,0.00036856905,0.00939284,0.000654604,0.00003598772,0.00010866355,0.0133366315,0.00070773053,0.030256448],"genre_scores_gemma":[0.9841898,0.00021682061,0.0031514992,0.000023557828,0.0000032825471,0.000024110139,0.0025769223,0.000060833983,0.009753239],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9999058,0.000004275617,0.0000038026026,0.000017849154,0.00003555762,0.00003274597],"domain_scores_gemma":[0.9997732,0.00002340595,0.00001399128,0.0000103742395,0.00014798364,0.000031032785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000090062764,0.00042474407,0.0002774463,0.0007077219,0.0014540878,0.0016444956,0.00092508335,0.0006216031,0.004728638],"category_scores_gemma":[0.0007770257,0.0004441466,0.0003871394,0.0017019155,0.00060446013,0.0005050518,0.000622836,0.0004266044,0.0005897479],"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":[0.00028844303,0.000111671885,0.13371873,0.00016283982,0.00007207624,0.0004346799,0.000993914,0.81200904,0.004488528,0.0031798633,0.010135002,0.034405228],"study_design_scores_gemma":[0.000048166537,0.00002405709,0.06813772,0.000045507757,0.00002924626,0.000033935994,0.0010492139,0.9217437,0.0008732695,0.0005966155,0.0073648505,0.000053750777],"about_ca_topic_score_codex":0.9874728,"about_ca_topic_score_gemma":0.9932666,"teacher_disagreement_score":0.012527227,"about_ca_system_score_codex":0.011523103,"about_ca_system_score_gemma":0.016652362,"threshold_uncertainty_score":0.0836063},"labels":[],"label_agreement":null},{"id":"W3150378494","doi":"","title":"Impact of drought and heat events on carbon exchanges in temperate pine forests of different ages in Eastern Canada","year":2012,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Temperate climate; Temperate rainforest; Temperate forest; Geography; Forestry; Environmental science; Physical geography; Ecology; Biology; Ecosystem","score_opus":0.014632614344250491,"score_gpt":0.24745276255459353,"score_spread":0.23282014821034303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3150378494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988955,0.0001450663,0.00001684421,0.000060404156,0.0000033711237,0.0000027494666,0.00038641007,0.000002558523,0.00048714923],"genre_scores_gemma":[0.9991959,0.00010575342,0.000025025553,0.000021799216,0.0000018956031,0.0000020107705,0.000259633,0.0000018468205,0.0003861217],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997675,0.000017561353,0.000011501551,0.000036221325,0.000041727242,0.0001254251],"domain_scores_gemma":[0.99926525,0.000090103706,0.000076615,0.000017274819,0.00028530988,0.000265528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028759017,0.0002257353,0.00032946412,0.0006680768,0.0021800157,0.0013339256,0.00058631954,0.0005101259,0.0014497546],"category_scores_gemma":[0.00091748696,0.00024968086,0.00035230356,0.0010939658,0.00074053847,0.0004890551,0.000732568,0.0004421641,0.000103693994],"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":[0.00037991637,0.00006226986,0.9896904,0.000028335664,0.00012682521,0.00022098047,0.0014532215,0.001318316,0.0016980552,0.00018948261,0.00048907625,0.0043431884],"study_design_scores_gemma":[0.0000028382256,0.000003939239,0.9986389,0.000003802387,0.000010367284,0.000014753681,0.0008400636,0.00023983575,0.000046830526,0.0000138457835,0.00017989353,0.0000048750803],"about_ca_topic_score_codex":0.9885578,"about_ca_topic_score_gemma":0.996384,"teacher_disagreement_score":0.014379734,"about_ca_system_score_codex":0.014379734,"about_ca_system_score_gemma":0.009866421,"threshold_uncertainty_score":0.104332745},"labels":[],"label_agreement":null},{"id":"W3152836389","doi":"","title":"Response of vegetation to Lower Cretaceous paleoclimate variation in the Canadian Arctic","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Paleoclimatology; Vegetation (pathology); Arctic; Geology; Physical geography; Cretaceous; Variation (astronomy); Paleontology; Climatology; Climate change; Environmental science; Oceanography; Geography; Medicine","score_opus":0.03520209234448705,"score_gpt":0.243003846802758,"score_spread":0.20780175445827095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3152836389","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997097,0.00029549736,0.000045688965,0.00024378662,0.000010022501,0.0000036751574,0.00072183553,0.0000074635846,0.0015751033],"genre_scores_gemma":[0.99884796,0.00012552598,0.00004211685,0.0000425509,0.000003765821,0.0000028057946,0.0004159689,0.0000058231026,0.0005134001],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994542,0.00004447486,0.000026083406,0.00012259986,0.00009217611,0.0002604],"domain_scores_gemma":[0.9980526,0.00020677898,0.0001970748,0.000050834595,0.001053963,0.00043881382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063357153,0.00030221583,0.00037619524,0.0022254707,0.0029756594,0.0015648246,0.0009310467,0.00063536444,0.0026562926],"category_scores_gemma":[0.0024791013,0.00030008776,0.0005147093,0.0031261903,0.001279837,0.00045228095,0.00095386425,0.0005204349,0.00019091088],"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":[0.0003530089,0.000033624085,0.9835396,0.0000503869,0.00017711139,0.00010732069,0.0033432096,0.0015123613,0.0031440188,0.00035492578,0.0010851716,0.006299315],"study_design_scores_gemma":[0.0000020802202,0.0000026905316,0.9983303,0.000007088235,0.000009552919,0.000008475541,0.0009108691,0.00020962498,0.000059370464,0.000014057679,0.00044073327,0.0000051696625],"about_ca_topic_score_codex":0.9953106,"about_ca_topic_score_gemma":0.99771094,"teacher_disagreement_score":0.021894988,"about_ca_system_score_codex":0.021894988,"about_ca_system_score_gemma":0.020036189,"threshold_uncertainty_score":0.15886003},"labels":[],"label_agreement":null},{"id":"W3155015504","doi":"","title":"Application of managed dyke realignment and hydrodynamic modelling for flood mitigation in a hypertidal estuary in the Upper Bay of Fundy, Canada","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bay; Estuary; Flood myth; Oceanography; Geology; Hydrology (agriculture); Environmental science; Fishery; Geography; Geotechnical engineering","score_opus":0.009276807297912349,"score_gpt":0.20541441790859533,"score_spread":0.19613761061068297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3155015504","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950675,0.00006334026,0.0022691728,0.0001723091,0.000016095984,0.000038210197,0.00024894375,0.000115596384,0.0020087948],"genre_scores_gemma":[0.996609,0.00004723693,0.002189732,0.00001303253,0.0000022201314,0.000013561875,0.00011718298,0.000010493306,0.0009974864],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997737,0.000039046092,0.000014973915,0.000056439974,0.000047158494,0.00006865251],"domain_scores_gemma":[0.9997085,0.00007680395,0.00002593579,0.000016913991,0.00012297959,0.000048769027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004127698,0.0005448338,0.00058458105,0.00043772292,0.0014162497,0.0019250986,0.0012638825,0.0008854611,0.0011284663],"category_scores_gemma":[0.0009672965,0.00036243678,0.00054336997,0.0006283284,0.00054926553,0.00049011846,0.0005513103,0.0005954014,0.00010684161],"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":[0.00031901206,0.0003453918,0.049047176,0.00006795891,0.00010992656,0.00033532584,0.00036065743,0.9208548,0.0032339639,0.00071594835,0.00089830015,0.023711514],"study_design_scores_gemma":[0.00004932276,0.00006735948,0.025144693,0.000009787413,0.00003339969,0.000015830083,0.0004204637,0.9726528,0.0008106796,0.00014164178,0.00062514056,0.000028953107],"about_ca_topic_score_codex":0.93158126,"about_ca_topic_score_gemma":0.94583577,"teacher_disagreement_score":0.06841874,"about_ca_system_score_codex":0.009289044,"about_ca_system_score_gemma":0.011763782,"threshold_uncertainty_score":0.13764328},"labels":[],"label_agreement":null},{"id":"W3155482267","doi":"","title":"Recent turbidity current activity in sediment-starved submarine canyons (Northwestern Gulf of St. Lawrence, Eastern Canada)","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Turbidity current; Submarine canyon; Canyon; Oceanography; Current (fluid); Geology; Sediment; Turbidite; Submarine; Turbidity; Continental shelf; Hydrology (agriculture); Geomorphology","score_opus":0.03996037861314322,"score_gpt":0.24365580911648432,"score_spread":0.2036954305033411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3155482267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981179,0.0000972119,0.000017256876,0.000037891863,0.0000043181994,0.0000030999179,0.00093966123,0.000003249498,0.00077941635],"genre_scores_gemma":[0.99723107,0.00012801644,0.000053194573,0.000022047054,0.0000026917503,0.0000037542932,0.0012832033,0.0000017069062,0.0012742619],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99990046,0.0000048920083,0.000007692173,0.000022742455,0.000030812065,0.000033429755],"domain_scores_gemma":[0.99916804,0.00003357592,0.00013539694,0.000014254355,0.00047468752,0.00017405268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012479513,0.00013292514,0.00017434623,0.0006650308,0.0010116709,0.0006763045,0.00045784566,0.00030596642,0.0013009643],"category_scores_gemma":[0.0006739287,0.00014558564,0.00014131996,0.0012594956,0.00044111835,0.00025310085,0.00046597706,0.0003088082,0.00023137295],"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":[0.00009271369,0.000015251124,0.99615955,0.000013011928,0.000022429122,0.000048820635,0.00053398224,0.00009175614,0.00044492303,0.000023963064,0.00040987038,0.0021437253],"study_design_scores_gemma":[0.0000014632935,0.0000070070423,0.9990005,0.0000052619494,0.0000065059116,0.000017423332,0.0005664511,0.000056744626,0.000044581608,0.0000029844243,0.00028925698,0.0000018687236],"about_ca_topic_score_codex":0.9599173,"about_ca_topic_score_gemma":0.9892041,"teacher_disagreement_score":0.040082693,"about_ca_system_score_codex":0.0054443437,"about_ca_system_score_gemma":0.003928501,"threshold_uncertainty_score":0.080637455},"labels":[],"label_agreement":null},{"id":"W3155521770","doi":"","title":"Estimating CO2 storage capacity in saline aquifers: Revisited concept and application to the Bécancour area (Québec, Canada)","year":2013,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental science","score_opus":0.02121653604407207,"score_gpt":0.23639002615981222,"score_spread":0.21517349011574016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3155521770","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.982882,0.0007254795,0.0074471114,0.000337794,0.0000107133465,0.00011197257,0.0016508956,0.00012832566,0.0067056543],"genre_scores_gemma":[0.99143595,0.00030766762,0.006235025,0.000028788576,0.000002164328,0.000024428982,0.00036391823,0.00001295586,0.0015891521],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980444,0.000023882112,0.000008066091,0.000055931814,0.0000665476,0.000041103554],"domain_scores_gemma":[0.99942243,0.00008649906,0.00003394382,0.000018917568,0.00039224213,0.000046069123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069505925,0.0004960428,0.00029311283,0.0010646705,0.0018092212,0.0014091241,0.0010252265,0.00037985828,0.000986347],"category_scores_gemma":[0.0012291424,0.00018748165,0.00026843394,0.0023414306,0.0005546588,0.0005251254,0.00043010278,0.00031319156,0.0001124787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033717242,0.00012783684,0.74751496,0.00018428706,0.0001860251,0.0003646967,0.0010566666,0.09393537,0.01681338,0.0031579467,0.004457009,0.13186453],"study_design_scores_gemma":[0.00008507114,0.00007703823,0.7656656,0.000075801494,0.00012988139,0.000105743165,0.0025642887,0.21553262,0.008858658,0.0009895919,0.005817062,0.00009862027],"about_ca_topic_score_codex":0.99529403,"about_ca_topic_score_gemma":0.9971685,"teacher_disagreement_score":0.018724881,"about_ca_system_score_codex":0.018724881,"about_ca_system_score_gemma":0.013971454,"threshold_uncertainty_score":0.13585913},"labels":[],"label_agreement":null},{"id":"W3156375945","doi":"","title":"Investigating the potential of the seismic reflection method for imaging hydrothermal conduits: a case study from the Lalor volcanogenic massive sulphide deposit, Snow Lake, Manitoba, Canada","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Reflection (computer programming); Hydrothermal circulation; Geophysical imaging; Snow; Geochemistry; Seismology; Geomorphology","score_opus":0.02365450918556843,"score_gpt":0.24680316988160367,"score_spread":0.22314866069603523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156375945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955249,0.00009936599,0.0014826324,0.00017279385,0.0000033558545,0.00004535042,0.00015347074,0.000028554754,0.0024896676],"genre_scores_gemma":[0.9891529,0.00023732931,0.008330638,0.000033083365,0.0000038046903,0.00001270866,0.00014769527,0.000017499455,0.0020645284],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976677,0.000034921697,0.000006888554,0.00003131328,0.00010350599,0.000056664267],"domain_scores_gemma":[0.9993425,0.00026317415,0.00003755093,0.000019454672,0.00029752593,0.000039850307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005376329,0.0005410317,0.00023325835,0.0010925438,0.0012215885,0.001554877,0.00088837655,0.0007428391,0.00069273176],"category_scores_gemma":[0.0013324827,0.00032270714,0.00021739968,0.0015332885,0.0009012162,0.00034176162,0.00044397113,0.00037202556,0.00015530738],"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":[0.001010308,0.00088242994,0.60950303,0.0006562285,0.00032276698,0.017078396,0.011824309,0.057333905,0.16391928,0.0024616143,0.002553672,0.1324541],"study_design_scores_gemma":[0.00024243249,0.00051697675,0.6701183,0.00014117557,0.0003982866,0.0031186952,0.035457827,0.23074846,0.049931888,0.000796318,0.008374329,0.00015532023],"about_ca_topic_score_codex":0.8484268,"about_ca_topic_score_gemma":0.95738375,"teacher_disagreement_score":0.15157318,"about_ca_system_score_codex":0.0037673605,"about_ca_system_score_gemma":0.005343094,"threshold_uncertainty_score":0.30493164},"labels":[],"label_agreement":null},{"id":"W3157360773","doi":"","title":"Methane leakage during the evolution of petroleum systems in the Western Canada Sedimentary Basin and the Central Graben area of the North Sea","year":2012,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Graben; Petroleum; Geology; Sedimentary rock; Structural basin; Petroleum geology; Sedimentary basin; Oceanography; Geochemistry; Petroleum engineering; Paleontology","score_opus":0.00942317454939623,"score_gpt":0.1882693404336064,"score_spread":0.17884616588421018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157360773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99920964,0.000054452015,0.0000224212,0.000032078224,0.000001049599,0.000002846127,0.00020260531,0.0000028307759,0.00047205592],"genre_scores_gemma":[0.9992418,0.00004696053,0.0000355251,0.000009262963,9.920632e-7,0.0000026869548,0.0002525839,0.0000021889061,0.00040796163],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999087,0.000008479839,0.0000046066466,0.000015010354,0.00002001786,0.00004313989],"domain_scores_gemma":[0.9997397,0.000035432804,0.000047153873,0.000006708231,0.00008655838,0.000084401785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016874043,0.00018452715,0.00021712872,0.000997226,0.0014180405,0.0011730185,0.00041581356,0.00056869135,0.001158158],"category_scores_gemma":[0.0006803417,0.000306901,0.00031664938,0.0015847597,0.00090711185,0.00049085385,0.0009125902,0.00035394015,0.00015742995],"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":[0.0005152866,0.00004702746,0.9836013,0.000040646202,0.00009865001,0.00036036133,0.00320719,0.0015038272,0.0056350324,0.0003687762,0.00034455015,0.0042774994],"study_design_scores_gemma":[0.0000021482947,0.0000067484148,0.9985386,0.0000036474887,0.0000053818194,0.000015291747,0.00077142013,0.00033699902,0.00012369947,0.000012903261,0.00017975696,0.0000033880165],"about_ca_topic_score_codex":0.9135997,"about_ca_topic_score_gemma":0.95566744,"teacher_disagreement_score":0.08640027,"about_ca_system_score_codex":0.008116878,"about_ca_system_score_gemma":0.0054833717,"threshold_uncertainty_score":0.17381817},"labels":[],"label_agreement":null},{"id":"W3157432365","doi":"","title":"Structural constraints to the evolution of the Transantarctic Mountains Front in Prince Albert Mountains, central Victoria Land, Antarctica.","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Front (military); Archaeology; Physical geography; Paleontology; Geography; Oceanography","score_opus":0.015150988193671923,"score_gpt":0.24787411624639338,"score_spread":0.23272312805272147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157432365","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921101,0.0007943686,0.00009658614,0.00029125044,0.00001003739,0.000013989304,0.00047702636,0.000009056306,0.006197619],"genre_scores_gemma":[0.9985349,0.00021871907,0.00014109557,0.000038060673,0.000005343036,0.000007698464,0.00029083926,0.000009434135,0.0007538306],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976295,0.00004125021,0.000013975668,0.000037032558,0.00003377762,0.00011112518],"domain_scores_gemma":[0.9995454,0.000055616092,0.00013738387,0.00003117291,0.0001148505,0.00011556796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028316784,0.00029841246,0.0002726101,0.0020183807,0.0030036317,0.0020290879,0.0007832846,0.00083108735,0.005941275],"category_scores_gemma":[0.0014670828,0.00043028075,0.00031646225,0.002830296,0.001562815,0.0004892239,0.0017200534,0.00083545205,0.0007485389],"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":[0.00063119153,0.0000911523,0.9079825,0.000406938,0.0003940875,0.0016399133,0.014779144,0.006471676,0.021070393,0.0054349494,0.0024998274,0.038598232],"study_design_scores_gemma":[0.000009969707,0.000016168024,0.9919205,0.000044867727,0.0000315303,0.0001516989,0.0036365609,0.0004907419,0.00009729463,0.0002773324,0.0033125666,0.000010801209],"about_ca_topic_score_codex":0.27841508,"about_ca_topic_score_gemma":0.57380503,"teacher_disagreement_score":0.27841508,"about_ca_system_score_codex":0.002869975,"about_ca_system_score_gemma":0.0027327973,"threshold_uncertainty_score":0.55358905},"labels":[],"label_agreement":null},{"id":"W3158042799","doi":"","title":"Arctic Ocean and Hudson Bay Freshwater Exports: New Estimates from 7 Decades of Hydrographic Surveys in the Labrador Sea","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Food Industry and Aquatic Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bay; Oceanography; Hydrography; Arctic; The arctic; Geography; Hydrographic survey; Climatology; Fishery; Environmental science; Geology","score_opus":0.031077722080923766,"score_gpt":0.23543553133614042,"score_spread":0.20435780925521665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158042799","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9818538,0.003919018,0.0002752663,0.00017361109,0.00005794533,0.0000066908815,0.011173837,0.00002518566,0.002514684],"genre_scores_gemma":[0.9821969,0.003197237,0.0006642305,0.000107510044,0.00006386986,0.000016364169,0.011311594,0.000020288926,0.0024220708],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99946636,0.00006834761,0.000087199594,0.00013946928,0.00013547456,0.000103162936],"domain_scores_gemma":[0.9985947,0.00015681432,0.0005040779,0.00008540649,0.0005252827,0.00013366317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016527623,0.00056740927,0.00042276672,0.003174285,0.0006195339,0.0014410507,0.00049888744,0.00034909995,0.00085871975],"category_scores_gemma":[0.0017298978,0.00031235305,0.0008396292,0.0047659744,0.00043456152,0.0011910168,0.0011003137,0.0003324033,0.00033639785],"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":[0.0001189338,0.000014743415,0.98721075,0.00006136503,0.00026047413,0.000066789216,0.00032976415,0.00032904037,0.00017415575,0.000051667488,0.0009622335,0.010420144],"study_design_scores_gemma":[0.0000018166372,0.000008602036,0.9976507,0.000021271226,0.000035796143,0.000025071853,0.00027301873,0.000091160204,0.000058751066,0.0000084186995,0.001821607,0.000003819111],"about_ca_topic_score_codex":0.38868204,"about_ca_topic_score_gemma":0.5887697,"teacher_disagreement_score":0.38868204,"about_ca_system_score_codex":0.0019341506,"about_ca_system_score_gemma":0.0022155568,"threshold_uncertainty_score":0.7728393},"labels":[],"label_agreement":null},{"id":"W3158058471","doi":"","title":"A generalized Archie's law for n-phases","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","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":"Université Laval","funders":"","keywords":"Law; Exponent; Mathematics; Conservation law; Social connectedness; Power law; Percolation (cognitive psychology); Calculus (dental); Mathematical analysis","score_opus":0.03292253288604478,"score_gpt":0.28652001061965465,"score_spread":0.25359747773360986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158058471","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":[0.04857795,0.013927998,0.8290435,0.003382758,0.0015438818,0.00064939907,0.0007962099,0.0009606735,0.10111762],"genre_scores_gemma":[0.6731394,0.016903449,0.19247057,0.0042797173,0.0014847926,0.0016582028,0.0011468993,0.0006637092,0.10825331],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982077,0.00016465131,0.00012742623,0.00047707453,0.0008111118,0.000212057],"domain_scores_gemma":[0.9978617,0.0007801297,0.00028243408,0.00034122157,0.00063761714,0.00009694709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016293406,0.0011352553,0.0011996604,0.0036651117,0.0014359,0.0024810503,0.0030125652,0.0036738857,0.007460813],"category_scores_gemma":[0.0055937963,0.00093937584,0.0021210164,0.00191149,0.0049492302,0.0076810587,0.0019675526,0.0037042177,0.0033565224],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047118803,0.000053486983,0.00079778524,0.00027607137,0.000035003835,0.0006051977,0.00028523873,0.029294124,0.00851901,0.9280231,0.008744326,0.023319539],"study_design_scores_gemma":[0.00004324343,0.00009817837,0.00082751905,0.00013055485,0.000036562025,0.0013934566,0.00009417891,0.17023313,0.004881432,0.7432992,0.078864135,0.000098390396],"about_ca_topic_score_codex":0.0024121373,"about_ca_topic_score_gemma":0.001966245,"teacher_disagreement_score":0.007460813,"about_ca_system_score_codex":0.0021560593,"about_ca_system_score_gemma":0.0017276026,"threshold_uncertainty_score":0.024958849},"labels":[],"label_agreement":null},{"id":"W3158351728","doi":"","title":"Ocean Gliders in Eastern Canada","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Underwater glider; Glider; Geography; Computer science","score_opus":0.00955375559861906,"score_gpt":0.2022117448352638,"score_spread":0.19265798923664473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158351728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97120184,0.00066183193,0.00014338503,0.000386212,0.00004143406,0.000040955285,0.0021153842,0.000029975188,0.025378924],"genre_scores_gemma":[0.9729115,0.000591211,0.00030440718,0.00017487552,0.000007695931,0.000013556555,0.0014764266,0.0000174057,0.02450295],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996842,0.000012546639,0.000011120106,0.00003568463,0.00008413255,0.00017234257],"domain_scores_gemma":[0.99939966,0.000020949788,0.00004760292,0.000012081328,0.0003654947,0.00015408189],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020821815,0.00027455937,0.00025413846,0.001462559,0.003754094,0.0015278778,0.0005060148,0.0004819496,0.00394955],"category_scores_gemma":[0.0005337335,0.00020179726,0.00026080015,0.0026722348,0.0006400662,0.00037499898,0.0012397681,0.00056338875,0.00056071265],"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":[0.0003232374,0.000061989136,0.94035214,0.00012649295,0.00008638203,0.0014397837,0.008497422,0.0010602922,0.0019259086,0.00110493,0.008424945,0.03659645],"study_design_scores_gemma":[0.000008863738,0.000020737549,0.97140884,0.000049043778,0.000019243256,0.00010076661,0.011146543,0.00034015902,0.00014751426,0.00004956438,0.016696805,0.000011914139],"about_ca_topic_score_codex":0.99399805,"about_ca_topic_score_gemma":0.9988362,"teacher_disagreement_score":0.014547304,"about_ca_system_score_codex":0.014547304,"about_ca_system_score_gemma":0.02131829,"threshold_uncertainty_score":0.10554856},"labels":[],"label_agreement":null},{"id":"W3158623923","doi":"","title":"Monitoring water flow in a clay-shale hillslope from geophysical data fusion based on a fuzzy logic approach","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Electrical resistivity tomography; Electrical resistivity and conductivity; Oil shale; Fuzzy logic; Soil science; Geotechnical engineering; Geophysics; Mineralogy","score_opus":0.05891174782302674,"score_gpt":0.28605252790035934,"score_spread":0.2271407800773326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158623923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80520236,0.00010406446,0.19354017,0.00007244791,0.000006956787,0.000055873643,0.000099795514,0.00020569169,0.00071258465],"genre_scores_gemma":[0.9531919,0.000034119075,0.046600632,0.000011129288,0.0000036921203,0.000021956655,0.000041700678,0.0000021878259,0.000092714756],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99979025,0.000044607157,0.000017072514,0.000047666097,0.00007453157,0.000025913236],"domain_scores_gemma":[0.99967587,0.00014126595,0.00006532355,0.00001625805,0.00007582659,0.000025553101],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045909715,0.00026990366,0.00028650093,0.0012103849,0.00026243067,0.00049529155,0.00024634157,0.00032943807,0.00026891273],"category_scores_gemma":[0.0009093081,0.00018421863,0.00022857075,0.00052312354,0.00031371092,0.0004091612,0.00031115586,0.00016053204,0.00004159083],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015059046,0.00040125893,0.04616402,0.00029046164,0.00017159978,0.0005644644,0.00077865896,0.32632315,0.30629265,0.0028254006,0.00037701149,0.31430545],"study_design_scores_gemma":[0.00003804051,0.00018949123,0.014518334,0.000013758428,0.00004846062,0.00008836152,0.00012562418,0.95777345,0.025498938,0.0014972504,0.00017963456,0.000028763878],"about_ca_topic_score_codex":0.003108995,"about_ca_topic_score_gemma":0.0042615314,"teacher_disagreement_score":0.003108995,"about_ca_system_score_codex":0.0005352645,"about_ca_system_score_gemma":0.00040509755,"threshold_uncertainty_score":0.006181836},"labels":[],"label_agreement":null},{"id":"W3158857083","doi":"","title":"Geochemical and Hydrological limitation of carbon sequestration and methane release in anoxic peat soil from the Luther Marsh, Canada","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Peat; Anoxic waters; Marsh; Methane; Environmental science; Carbon sequestration; Hydrology (agriculture); Methanogenesis; Carbon fibers; Wetland; Carbon dioxide; Ecology; Geology; Oceanography","score_opus":0.025677593736059504,"score_gpt":0.22156112674979556,"score_spread":0.19588353301373607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158857083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992986,0.000034766144,0.000022839018,0.000017543676,7.710087e-7,0.0000037833443,0.00020765724,0.000002418024,0.00041164196],"genre_scores_gemma":[0.9991068,0.00005372374,0.00006124109,0.000010235183,4.0073698e-7,0.0000026486505,0.00015501556,0.0000018981619,0.0006080166],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998772,0.000004920933,0.0000058933842,0.000021360845,0.0000339627,0.00005668334],"domain_scores_gemma":[0.9997577,0.000022105065,0.000022195942,0.000006212062,0.00013267186,0.00005915204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013622729,0.00015975375,0.00025220116,0.00072407705,0.0018648197,0.00062091334,0.0005030756,0.00022498304,0.0008496977],"category_scores_gemma":[0.00024632184,0.00019495028,0.00015324411,0.000794688,0.0006719999,0.00021031722,0.0002982947,0.00024878525,0.00012004808],"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":[0.0011607407,0.00030805005,0.8264882,0.00010612175,0.00011264059,0.00083353213,0.0031458838,0.0031759788,0.14920978,0.00077062764,0.0010963925,0.013592085],"study_design_scores_gemma":[0.000012743965,0.000024213496,0.99377465,0.0000053316553,0.00001595241,0.000056867408,0.0013733634,0.0011719501,0.0028641443,0.00005110485,0.000636363,0.000013201827],"about_ca_topic_score_codex":0.9884588,"about_ca_topic_score_gemma":0.9946162,"teacher_disagreement_score":0.011541188,"about_ca_system_score_codex":0.009961627,"about_ca_system_score_gemma":0.009909832,"threshold_uncertainty_score":0.07227695},"labels":[],"label_agreement":null},{"id":"W3158937252","doi":"","title":"Episodic exhumation along the northern Canadian margin, with implications of the tectonic, geotectonic and environmental evolution of the Arctic from Paleocene to Oligocene times","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Margin (machine learning); Arctic; Tectonics; Paleontology; The arctic; Earth science; Oceanography","score_opus":0.009554722273129264,"score_gpt":0.17099741493791704,"score_spread":0.16144269266478778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158937252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9779504,0.0023551693,0.00015873426,0.0010745963,0.00004053597,0.00000780574,0.0025734,0.000014351328,0.015824948],"genre_scores_gemma":[0.99515474,0.0010321748,0.00013661184,0.00006533912,0.000012266616,0.0000027425128,0.0005296718,0.000007957148,0.0030585465],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998233,0.000008696755,0.0000075025646,0.000040502353,0.000053088912,0.00006702848],"domain_scores_gemma":[0.9992828,0.000044447726,0.00008075938,0.000020057158,0.0004932063,0.00007878589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040392546,0.0001957682,0.00018831455,0.0015332986,0.00444304,0.0019195837,0.00061538094,0.00039468228,0.0036860628],"category_scores_gemma":[0.0012207191,0.0001869579,0.00016363626,0.0030919812,0.0011246166,0.0005672711,0.00093163556,0.0003408985,0.0002258606],"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":[0.0006843646,0.000044782766,0.88838255,0.00030259418,0.0001830448,0.0007606314,0.0135470675,0.0029873976,0.005522313,0.005611479,0.0071585397,0.07481527],"study_design_scores_gemma":[0.0000048279026,0.0000060355287,0.985013,0.00005071693,0.000023691087,0.000062899744,0.0033625234,0.00020957609,0.00026885912,0.00014920146,0.010838449,0.000010137264],"about_ca_topic_score_codex":0.9902,"about_ca_topic_score_gemma":0.9968418,"teacher_disagreement_score":0.016393527,"about_ca_system_score_codex":0.016393527,"about_ca_system_score_gemma":0.021707175,"threshold_uncertainty_score":0.11894393},"labels":[],"label_agreement":null},{"id":"W3159296775","doi":"","title":"Late Jurassic-Early Cretaceous carbon isotope stratigraphy of Arctic Canada","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cretaceous; Paleontology; Stratigraphy; Geology; Arctic; Isotopes of carbon; Oceanography; Isotope","score_opus":0.01608324205863305,"score_gpt":0.19157965093696522,"score_spread":0.17549640887833218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159296775","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94175434,0.0038285577,0.0005654773,0.00064471964,0.000062739855,0.000036271726,0.023966154,0.0001282268,0.029013384],"genre_scores_gemma":[0.9745745,0.0019350502,0.0006585994,0.000099239245,0.000009117006,0.000016163956,0.0042915596,0.000041437503,0.018374415],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998242,0.0000072346998,0.00000932813,0.000033081185,0.00005232489,0.00007385287],"domain_scores_gemma":[0.99918765,0.000030503386,0.000043988006,0.000010587873,0.0005914508,0.00013588209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002329792,0.00024483504,0.00021734602,0.0035270615,0.0030358685,0.0009992408,0.0005444223,0.00024279497,0.0053682155],"category_scores_gemma":[0.00046622282,0.00020711111,0.00025081827,0.004761475,0.00037778122,0.00035341215,0.00047666146,0.00021645198,0.00074165146],"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":[0.00033657526,0.000042166885,0.88360107,0.00023047613,0.00016720788,0.0003760285,0.004747294,0.0018018265,0.005139597,0.002119421,0.01860682,0.08283153],"study_design_scores_gemma":[0.0000043670384,0.0000056273816,0.9824776,0.00008072672,0.000021669217,0.000050929488,0.0017370988,0.00031894137,0.00034866546,0.00007284655,0.014870762,0.000010719566],"about_ca_topic_score_codex":0.99712473,"about_ca_topic_score_gemma":0.999127,"teacher_disagreement_score":0.017802306,"about_ca_system_score_codex":0.017802306,"about_ca_system_score_gemma":0.027984533,"threshold_uncertainty_score":0.12916535},"labels":[],"label_agreement":null},{"id":"W3159364444","doi":"","title":"Geometries of deformed granitoid inclusions in the Sudbury Igneous Complex of the Sudbury Impact Structure, Canada: Evidence for deformation during solidification of the impact melt sheet","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Igneous rock; Geology; Deformation (meteorology); Impact structure; Pluton; Melt inclusions; Inclusion (mineral); Mineralogy; Geochemistry; Impact crater; Seismology; Astrobiology; Olivine; Tectonics","score_opus":0.03895375068377392,"score_gpt":0.28982882217054406,"score_spread":0.25087507148677013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159364444","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964707,0.00003322048,0.00014606157,0.00002614859,0.0000013591629,0.000011690827,0.00075240823,0.000027470918,0.0025310726],"genre_scores_gemma":[0.9989675,0.00002164159,0.00016039463,0.0000051107454,6.5519305e-7,0.0000033824806,0.000427087,0.000014051918,0.00040010703],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997875,0.00000627019,0.0000083840505,0.000048123176,0.000082200975,0.000067579225],"domain_scores_gemma":[0.9995789,0.00005395553,0.000089514964,0.000030810737,0.00015795094,0.00008887385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010283505,0.00027598234,0.00032935987,0.001643764,0.0018999705,0.001665802,0.0008788564,0.0005449852,0.00325064],"category_scores_gemma":[0.0006733048,0.00051768485,0.0002117115,0.001602835,0.0017111046,0.00039596605,0.00090968894,0.0004500049,0.00041355554],"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":[0.0022254034,0.00022063097,0.68365836,0.0001474664,0.00014899565,0.0024424777,0.006842848,0.038014725,0.2429596,0.003980501,0.00224938,0.017109605],"study_design_scores_gemma":[0.000023280036,0.000025468753,0.98611176,0.000008440988,0.000017160122,0.00027717018,0.0012648116,0.0067821047,0.0045874543,0.000111311805,0.00074997277,0.000041134303],"about_ca_topic_score_codex":0.8120948,"about_ca_topic_score_gemma":0.8743725,"teacher_disagreement_score":0.18790519,"about_ca_system_score_codex":0.0054923915,"about_ca_system_score_gemma":0.0045039626,"threshold_uncertainty_score":0.37802356},"labels":[],"label_agreement":null},{"id":"W3159928750","doi":"","title":"Using thermodynamic modelling, quartz-in-garnet geobarometry and monazite geochronology to understand Early Jurassic orogenesis in the Northern Canadian Cordillera","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geochronology; Monazite; Geology; Quartz; Geochemistry; Paleontology; Zircon","score_opus":0.06311611992477335,"score_gpt":0.2700878291119264,"score_spread":0.20697170918715307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159928750","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9867025,0.0010257317,0.005503581,0.00033554866,0.000015473972,0.000022883642,0.0007059405,0.00017259212,0.005515753],"genre_scores_gemma":[0.99608517,0.00030064676,0.0020610064,0.000017112823,0.0000027206852,0.0000061267106,0.00021758114,0.000036837857,0.0012727765],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998197,0.000018158193,0.000009750278,0.0000701411,0.000035956687,0.0000462608],"domain_scores_gemma":[0.9998765,0.000025825022,0.00002042121,0.000010417588,0.00005079164,0.000016129476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004025261,0.00064744207,0.00031823185,0.0013253872,0.0016545999,0.0014354993,0.0011299767,0.00055554556,0.0018541479],"category_scores_gemma":[0.0010614228,0.00031781377,0.00033367777,0.0016665118,0.00074291485,0.0008310474,0.00048648837,0.00032951406,0.00030241528],"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":[0.00027572166,0.00012770931,0.6089015,0.00035953647,0.0003384039,0.0003343507,0.0021139125,0.25151145,0.033106264,0.0062596137,0.0012251545,0.09544641],"study_design_scores_gemma":[0.000035340116,0.000030860607,0.71014047,0.000055520548,0.000117465286,0.00008740108,0.0011885362,0.2754478,0.003941676,0.0025845792,0.0062951744,0.00007525912],"about_ca_topic_score_codex":0.9539701,"about_ca_topic_score_gemma":0.9779447,"teacher_disagreement_score":0.046029925,"about_ca_system_score_codex":0.012148852,"about_ca_system_score_gemma":0.010037366,"threshold_uncertainty_score":0.092601955},"labels":[],"label_agreement":null},{"id":"W3160992909","doi":"","title":"Mechanisms of continental breakup: comparison between the South China Sea and Iberia-Newfoundland rifted margins","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological and Geophysical Studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Breakup; Geology; Continental margin; Oceanography; China; Continental shelf; Geography; Paleontology; Archaeology; Tectonics","score_opus":0.018548281785236258,"score_gpt":0.21888259979512392,"score_spread":0.20033431800988766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160992909","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99317837,0.001227142,0.00011084892,0.00010791627,0.000004992087,0.0000083627165,0.00017952672,0.0000070582832,0.0051758406],"genre_scores_gemma":[0.99881196,0.0004173711,0.00007040438,0.000013228162,0.0000030755623,0.0000039888128,0.0001077619,0.0000030707322,0.00056916144],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998442,0.000016576098,0.00001313212,0.000028713814,0.000015669348,0.000081756945],"domain_scores_gemma":[0.99939823,0.000070576025,0.0002428631,0.000042323794,0.00013609853,0.00010990507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004436416,0.00031982045,0.0002951757,0.0030193846,0.00079196005,0.0016368391,0.0005393994,0.00035441338,0.0031478354],"category_scores_gemma":[0.00079195475,0.00021589918,0.00051748945,0.0019304289,0.0010879718,0.0007314329,0.0011999587,0.00022824822,0.0001681755],"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":[0.00039045757,0.0000301588,0.97216886,0.00009136739,0.00027195938,0.00036284668,0.0011593722,0.0024836883,0.0047179367,0.0020598846,0.0002549708,0.016008416],"study_design_scores_gemma":[0.000005156324,0.00001821824,0.99784577,0.000014351439,0.000033646294,0.00002928185,0.00091524154,0.00050266064,0.00014125499,0.000097156386,0.00039312502,0.000004161946],"about_ca_topic_score_codex":0.24273773,"about_ca_topic_score_gemma":0.3003592,"teacher_disagreement_score":0.7572623,"about_ca_system_score_codex":0.004081238,"about_ca_system_score_gemma":0.0016284566,"threshold_uncertainty_score":0.48264962},"labels":[],"label_agreement":null},{"id":"W3161249402","doi":"","title":"Arctic sea ice decline and continental cold anomalies: Upstream and downstream effects of Greenland blocking","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Climate variability and models","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":"North Atlantic oscillation; Oceanography; Climatology; Geology; Sea ice; Bay; Arctic; Arctic oscillation; Arctic ice pack; Greenland ice sheet; Northern Hemisphere; Ice sheet","score_opus":0.01583412559539943,"score_gpt":0.24756825361181983,"score_spread":0.2317341280164204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161249402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987268,0.00011216013,0.00005505008,0.00006724799,0.0000061237142,0.0000020221714,0.00019790955,0.0000063097805,0.0008264095],"genre_scores_gemma":[0.9994259,0.00005517648,0.000026217736,0.0000182497,0.0000069142184,0.000001043061,0.00026305282,0.0000039871024,0.00019941131],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998306,0.000055322773,0.0000071271,0.000034165838,0.00001964203,0.00005311994],"domain_scores_gemma":[0.9992943,0.00021923742,0.00014250346,0.000045027886,0.00008782231,0.00021112086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048688802,0.00027743517,0.00027999573,0.00044156684,0.00022540774,0.0005571006,0.00022350605,0.0002575856,0.0012100437],"category_scores_gemma":[0.0010018221,0.00010778632,0.000490961,0.00041424582,0.00029800562,0.00029714117,0.00042067788,0.00028274348,0.00012129504],"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":[0.0004721705,0.00007676061,0.98441607,0.000013042802,0.00015734011,0.0002655308,0.000114112154,0.004064918,0.0041504195,0.00016787802,0.0003842816,0.005717455],"study_design_scores_gemma":[0.0000038798075,0.000025826428,0.9980969,0.0000025311385,0.000030440982,0.000013023365,0.000053067488,0.0014374559,0.00016185944,0.000032176074,0.00014075446,0.0000021378223],"about_ca_topic_score_codex":0.06808898,"about_ca_topic_score_gemma":0.076574065,"teacher_disagreement_score":0.06808898,"about_ca_system_score_codex":0.00077233685,"about_ca_system_score_gemma":0.0006611459,"threshold_uncertainty_score":0.13538533},"labels":[],"label_agreement":null},{"id":"W3161497472","doi":"","title":"A mantle source of water in the Late Neoproterozoic appinitic Greendale Complex, Nova Scotia: An O and H isotopic study on amphiboles provides evidence of asthenospheric upwelling","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Geology; Amphibole; Mantle (geology); Upwelling; Geochemistry; Earth science; Oceanography; Paleontology","score_opus":0.07295825340833675,"score_gpt":0.2695281067189359,"score_spread":0.19656985331059915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161497472","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99866366,0.00008218699,0.000031390013,0.000033094628,0.0000018395209,0.000005455474,0.00024507317,0.000002017473,0.00093532697],"genre_scores_gemma":[0.99907947,0.0000708533,0.00006007498,0.000020946554,0.000001133022,0.0000029289224,0.000147313,0.000002428257,0.0006148241],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999529,0.0000028530724,0.000002674193,0.000012298989,0.000008200639,0.000021067946],"domain_scores_gemma":[0.99985445,0.000013200889,0.000031004478,0.000005346067,0.000058437676,0.000037650832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008812803,0.00017923463,0.00012844506,0.0009930014,0.0011021831,0.0007207082,0.00032269792,0.0002267833,0.0011187972],"category_scores_gemma":[0.0002505484,0.0002140271,0.00011440786,0.0008366446,0.0006406347,0.00028860482,0.00047077305,0.00019585651,0.00017612538],"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":[0.00021648961,0.000023366476,0.95707595,0.00005841689,0.000037086385,0.0007037795,0.0032003422,0.00028400222,0.03055004,0.00031005382,0.00034195776,0.007198604],"study_design_scores_gemma":[0.000004425509,0.0000053281333,0.998439,0.0000093292165,0.0000054512416,0.00004104605,0.0007522734,0.00009683238,0.00027937384,0.000014683134,0.00035038692,0.0000019116194],"about_ca_topic_score_codex":0.8833709,"about_ca_topic_score_gemma":0.96104026,"teacher_disagreement_score":0.11662912,"about_ca_system_score_codex":0.0028604975,"about_ca_system_score_gemma":0.0022574905,"threshold_uncertainty_score":0.2346319},"labels":[],"label_agreement":null},{"id":"W3163534173","doi":"","title":"Geostatistical analysis of long-term soil temperatures in Canada","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Term (time); Environmental science; Geology; Hydrology (agriculture); Physical geography; Geography; Geotechnical engineering","score_opus":0.015358876001856672,"score_gpt":0.2509121439029511,"score_spread":0.2355532679010944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3163534173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98583454,0.00086462806,0.0015517502,0.0005529705,0.00002724265,0.000024158056,0.009011321,0.00011808719,0.0020152612],"genre_scores_gemma":[0.9938235,0.00035642422,0.0006657106,0.000041268624,0.000006254282,0.0000108224685,0.0031549714,0.000024181989,0.0019168901],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942756,0.00006394731,0.000038007383,0.000115803996,0.00018503767,0.0001697028],"domain_scores_gemma":[0.99810755,0.000253897,0.00013983452,0.0000625582,0.0012389467,0.0001971492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007226811,0.0002794389,0.0004156144,0.001368697,0.0011844944,0.0012188472,0.0009899635,0.00032436874,0.0015292328],"category_scores_gemma":[0.0025842108,0.00021706829,0.0007424279,0.0037465289,0.0005080531,0.000294807,0.0005974734,0.00056222256,0.00015485252],"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":[0.00030500116,0.00006533687,0.9369427,0.000106044325,0.00047398874,0.00013965556,0.0006346448,0.022783082,0.0016365912,0.0015240237,0.0060732956,0.029315682],"study_design_scores_gemma":[0.000009520915,0.000014609104,0.97784334,0.000028347562,0.00007500173,0.000023488341,0.0011778448,0.017679254,0.00032490492,0.00018208714,0.0026181708,0.00002359782],"about_ca_topic_score_codex":0.99755293,"about_ca_topic_score_gemma":0.9979073,"teacher_disagreement_score":0.026241025,"about_ca_system_score_codex":0.026241025,"about_ca_system_score_gemma":0.043864932,"threshold_uncertainty_score":0.19039285},"labels":[],"label_agreement":null},{"id":"W3164473332","doi":"","title":"The deep lithospheric structure of the Namibian volcanic margin","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"High-pressure geophysics and materials","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":"Carleton University","funders":"","keywords":"Geology; Lithosphere; Geophysics; Mantle (geology); Continental margin; Volcano; Geoid; Transition zone; Crust; Petrology; Seismology; Tectonics; Measured depth","score_opus":0.006583473789848935,"score_gpt":0.19720451726330213,"score_spread":0.19062104347345318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164473332","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98241997,0.00027087866,0.004262601,0.00017313317,0.00000612466,0.000009425623,0.00053506,0.00005085244,0.012271999],"genre_scores_gemma":[0.99841523,0.00008727345,0.000428315,0.000010271509,0.0000020136767,0.000007871355,0.00011787922,0.000007222982,0.00092396216],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9999783,0.0000050301596,8.8639536e-7,0.0000059828812,0.000002638612,0.0000072772887],"domain_scores_gemma":[0.99998045,0.0000038948297,0.0000047584113,0.000002487547,0.000003732249,0.0000046925893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004388448,0.00032073676,0.00018490847,0.00022841083,0.00056292687,0.0009665571,0.0005326322,0.00043513897,0.00239542],"category_scores_gemma":[0.0001617636,0.0002024446,0.0002137958,0.00035670327,0.0002527637,0.00033730394,0.00035963408,0.00014567438,0.00027474161],"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":[0.00018860231,0.00005012504,0.05706421,0.00006166208,0.00008784232,0.0006511125,0.00035197416,0.90650815,0.013472009,0.009622714,0.00048233196,0.011459324],"study_design_scores_gemma":[0.00006709681,0.00006267414,0.04272493,0.000031855165,0.00005049912,0.00016809233,0.00030738546,0.9468208,0.0014214328,0.004528489,0.003790878,0.0000258194],"about_ca_topic_score_codex":0.09634007,"about_ca_topic_score_gemma":0.043656368,"teacher_disagreement_score":0.09634007,"about_ca_system_score_codex":0.0016404658,"about_ca_system_score_gemma":0.0007573626,"threshold_uncertainty_score":0.1915586},"labels":[],"label_agreement":null},{"id":"W3164580917","doi":"","title":"Palynology of Arctic hyperthermal (PETM and ETM-2) vegetation from the early Paleogene Margaret Formation at Stenkul Fiord, Ellesmere Island, Nunavut, Canada","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Fjord; Palynology; Arctic; Paleogene; Vegetation (pathology); Geology; Physical geography; Paleontology; Oceanography; Geography; Ecology; Pollen; Structural basin","score_opus":0.015761376103202544,"score_gpt":0.18162525459397108,"score_spread":0.16586387849076853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164580917","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99477494,0.00033770106,0.00005251782,0.0000675039,0.000003307095,0.000010841696,0.0016489928,0.000004737732,0.0030994618],"genre_scores_gemma":[0.99716944,0.00013439548,0.00011292373,0.00001858063,0.0000018152034,0.000008664923,0.0008546857,0.0000045273723,0.0016950228],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999877,0.000013957175,0.0000071409836,0.00002735545,0.000026969177,0.000047554855],"domain_scores_gemma":[0.9996213,0.000027658956,0.00005072814,0.000011067662,0.0002010635,0.000088184875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021328576,0.00013906523,0.00015965261,0.0018493254,0.0021571552,0.00073343696,0.00063814415,0.0001961473,0.0020778903],"category_scores_gemma":[0.00050453405,0.00017770157,0.000111750654,0.0022834712,0.00057670544,0.00022094464,0.00070717855,0.0002323463,0.0002731953],"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":[0.00011129777,0.000025280933,0.96419096,0.00006908592,0.00003159011,0.00037059683,0.014481503,0.00031737788,0.0035434437,0.00047423618,0.0013850167,0.014999586],"study_design_scores_gemma":[6.195019e-7,0.0000024484839,0.9966484,0.000009464874,0.0000014496816,0.000031689444,0.002203368,0.00003586681,0.00006359773,0.0000083736595,0.000992888,0.0000018290528],"about_ca_topic_score_codex":0.96114475,"about_ca_topic_score_gemma":0.99341464,"teacher_disagreement_score":0.038855255,"about_ca_system_score_codex":0.0070125363,"about_ca_system_score_gemma":0.004141098,"threshold_uncertainty_score":0.078168094},"labels":[],"label_agreement":null},{"id":"W3165139947","doi":"","title":"Titan's atmospheric and surface properties of the Ontario Lacus region from Cassini/VIMS remote sensing","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Titan (rocket family); Astrobiology; Geology; Remote sensing; Physics","score_opus":0.024809749961069712,"score_gpt":0.2037199563311328,"score_spread":0.17891020637006308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165139947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98789036,0.00012147248,0.00011326497,0.000096338365,0.0000051264337,0.000010437239,0.0056627383,0.000030147343,0.006069982],"genre_scores_gemma":[0.9944922,0.00008514099,0.0001954283,0.00002303412,0.000004681165,0.0000065651557,0.003419605,0.000011470229,0.0017619557],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999193,0.000003231431,0.0000037219836,0.000022077495,0.00003221291,0.00001949265],"domain_scores_gemma":[0.9998047,0.000017219616,0.000031849002,0.000014440685,0.00009387896,0.0000379216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000117501084,0.0001418979,0.00014113102,0.0004705534,0.00080524106,0.0004109318,0.0002813535,0.00015727812,0.0014125846],"category_scores_gemma":[0.00036858593,0.00010970676,0.00015050598,0.0009729452,0.000256004,0.00023974583,0.00032646005,0.00014828841,0.000286748],"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":[0.0003764605,0.000077046076,0.9305372,0.00014246133,0.00013165646,0.00038934857,0.0017453246,0.0049268757,0.030890029,0.0009328583,0.011262754,0.018588016],"study_design_scores_gemma":[0.0000071858267,0.0000040926625,0.9963922,0.0000035143005,0.00001364304,0.000014996558,0.00017125848,0.0007100555,0.00036010589,0.000018797578,0.0022988387,0.000005293012],"about_ca_topic_score_codex":0.93088543,"about_ca_topic_score_gemma":0.9691789,"teacher_disagreement_score":0.93088543,"about_ca_system_score_codex":0.0037284016,"about_ca_system_score_gemma":0.002618672,"threshold_uncertainty_score":0.13904315},"labels":[],"label_agreement":null},{"id":"W3165655479","doi":"","title":"Development of a cosmogenic 14C extraction line at Dalhousie University","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Superconducting Materials and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Extraction (chemistry); Line (geometry); Geology; Chemistry; Mathematics; Geometry; Chromatography","score_opus":0.04072093251356096,"score_gpt":0.25346174237093044,"score_spread":0.21274080985736948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165655479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48307684,0.0008220975,0.41036522,0.0024848087,0.00077199785,0.008633467,0.01960237,0.026401406,0.04784173],"genre_scores_gemma":[0.3773477,0.00090416847,0.5033486,0.002042289,0.00018579536,0.0046904,0.022259934,0.003055041,0.086166106],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99825174,0.0001385454,0.00007007921,0.00040905873,0.0008624046,0.0002681887],"domain_scores_gemma":[0.99814296,0.00014627445,0.00009111729,0.00027055386,0.0010264454,0.00032270694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025458871,0.0008155361,0.00092465285,0.002000066,0.0034274387,0.0013395905,0.0025296623,0.0012665114,0.013673161],"category_scores_gemma":[0.00134247,0.0009821043,0.0006677054,0.0012836208,0.0008385018,0.0012464782,0.0012888833,0.0020928045,0.010823971],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007441342,0.00045351026,0.008353404,0.00016565368,0.000056102017,0.00039006877,0.00037919657,0.0026402818,0.93678373,0.0023460765,0.008517486,0.03917044],"study_design_scores_gemma":[0.00023228287,0.0006553667,0.010822585,0.000052183485,0.00005651659,0.00024230331,0.00016147702,0.005520618,0.89626265,0.0002928824,0.085613914,0.00008721263],"about_ca_topic_score_codex":0.02322807,"about_ca_topic_score_gemma":0.039812982,"teacher_disagreement_score":0.02322807,"about_ca_system_score_codex":0.002897748,"about_ca_system_score_gemma":0.010023942,"threshold_uncertainty_score":0.046185732},"labels":[],"label_agreement":null},{"id":"W3165907289","doi":"","title":"Fault geometry and deformation at the SW lobe of the Sudbury Basin, Canada: Insights from potential field modelling","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Field (mathematics); Geometry; Deformation (meteorology); Fault (geology); Lobe; Seismology; Geomorphology; Mathematics","score_opus":0.011025618108050935,"score_gpt":0.19034241427568846,"score_spread":0.17931679616763752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165907289","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922701,0.00019629994,0.0007136696,0.0002619631,0.0000057025977,0.000016281201,0.0012394547,0.000036671194,0.0052598394],"genre_scores_gemma":[0.9974911,0.00015578856,0.00049965095,0.000013108539,0.000001411726,0.000004378909,0.00042772357,0.000012105508,0.0013947242],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998983,0.000010200837,0.0000059832923,0.000024712019,0.000026476147,0.0000342973],"domain_scores_gemma":[0.9997681,0.000036432433,0.000025738065,0.000013047497,0.00012044468,0.000036226324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017683972,0.0002725192,0.000294807,0.00075569365,0.0016895754,0.0020755047,0.00095474627,0.0005378157,0.0027342816],"category_scores_gemma":[0.0012298023,0.00030738593,0.00038710728,0.0018418386,0.00079455733,0.0006519806,0.00042956273,0.00040229937,0.00024441452],"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":[0.00033722553,0.000117085896,0.44143248,0.0001590565,0.00017789961,0.0007205195,0.0016722549,0.48066676,0.0052124476,0.010856608,0.0061227023,0.05252483],"study_design_scores_gemma":[0.000069673515,0.000025665258,0.53817046,0.00007760362,0.00006634663,0.000118240576,0.00207498,0.45043376,0.0009913758,0.0021526946,0.0057321824,0.00008700481],"about_ca_topic_score_codex":0.9956819,"about_ca_topic_score_gemma":0.99644023,"teacher_disagreement_score":0.016063223,"about_ca_system_score_codex":0.016063223,"about_ca_system_score_gemma":0.019487875,"threshold_uncertainty_score":0.116547346},"labels":[],"label_agreement":null},{"id":"W3166597210","doi":"","title":"Glyoxal observation from Sentinel-5 Precursor - First evidence of long range transport from Canadian wildfires","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Glyoxal; Range (aeronautics); Environmental science; Climatology; Meteorology; Chemistry; Geography; Geology; Materials science","score_opus":0.021402945640331322,"score_gpt":0.2251667931459354,"score_spread":0.20376384750560408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166597210","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989071,0.00027312845,0.00048170582,0.00017888489,0.00004521176,0.000027585758,0.0036792639,0.000080280086,0.0061629564],"genre_scores_gemma":[0.9937785,0.0002114312,0.0010838307,0.00014943682,0.000010771494,0.0000141031105,0.0027203143,0.000016510296,0.0020150477],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997979,0.000005731778,0.0000041956664,0.00004552531,0.000083658284,0.000062992556],"domain_scores_gemma":[0.99951184,0.000024018862,0.000048560632,0.000019180798,0.00032797456,0.00006830601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002807498,0.0003886227,0.0002322637,0.0005700347,0.0012268744,0.00070135115,0.000537799,0.0005091611,0.0011097335],"category_scores_gemma":[0.00036988957,0.00018266942,0.00020077087,0.0006759508,0.00031260718,0.00030914755,0.00039847055,0.0004813225,0.00023877993],"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":[0.0010486721,0.0001258263,0.8576552,0.0001100514,0.00013918141,0.00071016076,0.00088984455,0.0009866924,0.11266753,0.00029687307,0.007648079,0.017721891],"study_design_scores_gemma":[0.000023992094,0.000045136057,0.98910856,0.000018092645,0.000044951044,0.00011820828,0.0005282423,0.0010541729,0.005632833,0.000058086604,0.0033499515,0.00001766999],"about_ca_topic_score_codex":0.8567387,"about_ca_topic_score_gemma":0.9418492,"teacher_disagreement_score":0.14326131,"about_ca_system_score_codex":0.0033753004,"about_ca_system_score_gemma":0.004342945,"threshold_uncertainty_score":0.28820997},"labels":[],"label_agreement":null},{"id":"W3167661464","doi":"","title":"Density-compensated Overturning Circulation in the Labrador Sea","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Circulation (fluid dynamics); Shutdown of thermohaline circulation; Geology; Thermohaline circulation; Oceanography; Climatology; North Atlantic Deep Water; Mechanics","score_opus":0.014943085115194467,"score_gpt":0.21315101208546444,"score_spread":0.19820792697026998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3167661464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989768,0.00003474594,0.00007961544,0.00004587662,0.0000056156564,0.000001288991,0.00015366342,0.000030900963,0.00067155703],"genre_scores_gemma":[0.9994392,0.000020862652,0.000066598455,0.000008226152,0.0000038618236,8.373712e-7,0.00014157098,0.0000074393747,0.0003113791],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999335,0.000011671561,0.0000061568535,0.000016303673,0.000009461053,0.00002291481],"domain_scores_gemma":[0.9998355,0.000025058964,0.000039423587,0.000019383098,0.000050138988,0.00003039164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012140914,0.00025570297,0.0003199067,0.00041974653,0.00031942246,0.0006036602,0.0004958348,0.00033432926,0.0010156657],"category_scores_gemma":[0.000720667,0.0001697976,0.0002552886,0.00046045004,0.00034917303,0.00048553772,0.00044832693,0.00033747923,0.00024614742],"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":[0.0019764274,0.00035480666,0.7390771,0.00012965355,0.0004112498,0.0012395903,0.0010410382,0.13655035,0.06711923,0.0047144964,0.0035596327,0.043826494],"study_design_scores_gemma":[0.000075524025,0.000077284654,0.92792386,0.000012724544,0.00004531448,0.00007860712,0.0002171205,0.06874307,0.001654759,0.00031187714,0.0008256057,0.00003414871],"about_ca_topic_score_codex":0.113876805,"about_ca_topic_score_gemma":0.08903026,"teacher_disagreement_score":0.8861232,"about_ca_system_score_codex":0.0012639463,"about_ca_system_score_gemma":0.00070169213,"threshold_uncertainty_score":0.22642797},"labels":[],"label_agreement":null},{"id":"W3167696677","doi":"","title":"Developing an Integrated Water Management Model of the System of Hydropower Generating Stations Operated by Manitoba Hydro","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Water resources management and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hydropower; Water resource management; Environmental science; Hydrology (agriculture); Environmental resource management; Computer science; Engineering","score_opus":0.017100670249321676,"score_gpt":0.2080396329637017,"score_spread":0.19093896271438002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3167696677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.741282,0.00026984495,0.21728118,0.00082709256,0.000081961385,0.00030590186,0.0020555954,0.0007910717,0.037105314],"genre_scores_gemma":[0.96562016,0.00013521829,0.02541448,0.000056297424,0.00001027047,0.00014167931,0.00066173205,0.00006678214,0.007893395],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998801,0.000029160945,0.0000045116863,0.000032872067,0.000022539527,0.000030786003],"domain_scores_gemma":[0.9998136,0.0000621095,0.000020182586,0.0000090187505,0.000071700684,0.000023401828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029681416,0.00058756286,0.0005746523,0.0004207976,0.0006969556,0.0012795702,0.0012184231,0.0010103822,0.003915311],"category_scores_gemma":[0.00069622434,0.00070158514,0.00082013133,0.0007071688,0.0003622582,0.00085685786,0.00057326135,0.0007885698,0.00036669298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010383918,0.000014507546,0.0007162147,0.000007752847,0.000008722915,0.000036746664,0.000016442811,0.99677795,0.00022234471,0.00089881226,0.00012988747,0.001160243],"study_design_scores_gemma":[0.0000061152414,0.000007801861,0.00024048537,0.0000022301413,0.000006345312,0.0000026463938,0.00001885063,0.9991642,0.00009077117,0.00027239884,0.00018554919,0.000002546561],"about_ca_topic_score_codex":0.352997,"about_ca_topic_score_gemma":0.30441427,"teacher_disagreement_score":0.647003,"about_ca_system_score_codex":0.0035330092,"about_ca_system_score_gemma":0.0051044147,"threshold_uncertainty_score":0.7018846},"labels":[],"label_agreement":null},{"id":"W3168135111","doi":"","title":"Understanding gas generation and their spatial distribution through isotopic composition mapping of the Montney Fm., Canada","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Spatial distribution; Remote sensing; Composition (language); Environmental science; Geology","score_opus":0.0308712143803828,"score_gpt":0.1944885814710733,"score_spread":0.16361736709069052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3168135111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9340009,0.0032739362,0.004639731,0.0023858927,0.00003938901,0.000050349434,0.009161998,0.00027178728,0.046176],"genre_scores_gemma":[0.9778512,0.0012407487,0.0033257462,0.00017289296,0.000007064895,0.000015442014,0.0017027967,0.00008424153,0.015599788],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998584,0.0000035171686,0.0000024501492,0.000033831846,0.000051516217,0.00005021613],"domain_scores_gemma":[0.99980634,0.000009027246,0.000011055395,0.000003861824,0.00014898815,0.000020694357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014545812,0.000292757,0.00020468814,0.0011146532,0.0025119032,0.0013304149,0.00056488626,0.00035990265,0.0037298435],"category_scores_gemma":[0.00030020362,0.00025446675,0.00021938201,0.0017616064,0.00046526364,0.0004412689,0.0005045939,0.00043853588,0.00041158905],"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":[0.00046385766,0.00009721882,0.6980634,0.0002071967,0.00017996138,0.0005342397,0.0032048803,0.0089494465,0.0798271,0.00683389,0.02563323,0.17600559],"study_design_scores_gemma":[0.000014709011,0.00001677059,0.9480515,0.00007478747,0.000057584042,0.00010011432,0.0026622338,0.011702942,0.0072854343,0.00073227566,0.029249163,0.000052601197],"about_ca_topic_score_codex":0.995432,"about_ca_topic_score_gemma":0.9984547,"teacher_disagreement_score":0.015555603,"about_ca_system_score_codex":0.015555603,"about_ca_system_score_gemma":0.018987581,"threshold_uncertainty_score":0.112864316},"labels":[],"label_agreement":null},{"id":"W3168758910","doi":"","title":"200 years of water supplies spatiotemporal variations in northern Québec (Canada) and their relationships with atmospherics and teleconnexion indices.","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Atmospherics; Geography; Meteorology","score_opus":0.028149598995744932,"score_gpt":0.2060008669926417,"score_spread":0.17785126799689677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3168758910","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9458329,0.0016586881,0.0002995625,0.0005602241,0.000024026662,0.000023563269,0.047716696,0.00004863374,0.003835706],"genre_scores_gemma":[0.9848793,0.0004660488,0.0002432734,0.00009428484,0.00000805472,0.000014308691,0.010879278,0.000009205282,0.0034062164],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99985325,0.000012715112,0.000011769699,0.00003762114,0.000028860264,0.000055780754],"domain_scores_gemma":[0.9992136,0.00006693664,0.0001564571,0.000031251933,0.00036587965,0.00016587041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025271747,0.00021556042,0.00016970388,0.0010494256,0.00077136856,0.0007869667,0.000540667,0.00042628407,0.0032432633],"category_scores_gemma":[0.0007558146,0.00013249679,0.00027034176,0.0029373835,0.00032238578,0.00031141643,0.00040786344,0.00038721063,0.00033614313],"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":[0.000100443045,0.000021113341,0.98433834,0.000043760792,0.00017098521,0.00010804366,0.0004366381,0.00085750147,0.0004351615,0.00027467211,0.005942275,0.0072709927],"study_design_scores_gemma":[0.0000019977406,0.000003919048,0.9971312,0.000012240878,0.000013460948,0.000019004498,0.00029861185,0.00046662352,0.000024834168,0.000013557289,0.0020095238,0.0000048851034],"about_ca_topic_score_codex":0.99437803,"about_ca_topic_score_gemma":0.9969283,"teacher_disagreement_score":0.009616979,"about_ca_system_score_codex":0.009616979,"about_ca_system_score_gemma":0.0067575397,"threshold_uncertainty_score":0.069776416},"labels":[],"label_agreement":null},{"id":"W3169807413","doi":"","title":"Facies and Architecture of the Estuarine, Tidal-dominated Reservoirs in the McMurray Formation, Northeastern Alberta, Canada: An integrated case study using core and wireline data","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Wireline; Facies; Oceanography; Estuary; Tidal flat; Paleontology; Engineering; Sediment","score_opus":0.05218848123186195,"score_gpt":0.2748504430371402,"score_spread":0.22266196180527822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3169807413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99651897,0.00008124038,0.00021144684,0.000037316997,7.605845e-7,0.0000135533055,0.0016632747,0.000013477942,0.0014600006],"genre_scores_gemma":[0.997489,0.000076246564,0.00040577436,0.000008432738,5.471112e-7,0.0000048505563,0.00086105807,0.0000051637153,0.0011489432],"study_design_codex":"observational","study_design_gemma":"case_report","domain_scores_codex":[0.99978226,0.000018603785,0.000011727822,0.000036654183,0.00007274673,0.00007814758],"domain_scores_gemma":[0.9996382,0.000038890226,0.00005597502,0.000014687947,0.00019097039,0.00006123603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024167479,0.00023088747,0.00018616932,0.0017683938,0.00090536627,0.0011870781,0.00081873673,0.00035829828,0.0012256457],"category_scores_gemma":[0.0007531149,0.00026947094,0.0002838831,0.0034884186,0.00065710477,0.00031621614,0.00067809003,0.00018975792,0.00012936325],"study_design_candidate":"case_report","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":[0.00008442022,0.000040193423,0.96895415,0.000036855286,0.00009212904,0.00035345633,0.001526729,0.010868621,0.0015691308,0.0008039594,0.0011288915,0.014541589],"study_design_scores_gemma":[0.000003318359,0.0000070126835,0.986937,0.000018724617,0.000025767793,0.000056329183,0.0024701261,0.00920458,0.00019563297,0.000080766506,0.0009892404,0.00001160936],"about_ca_topic_score_codex":0.9864227,"about_ca_topic_score_gemma":0.9959202,"teacher_disagreement_score":0.013577282,"about_ca_system_score_codex":0.010534404,"about_ca_system_score_gemma":0.008202634,"threshold_uncertainty_score":0.076432824},"labels":[],"label_agreement":null},{"id":"W3170792793","doi":"","title":"Analysis of Glacial Valley Morphology and Erosion Using DEM Data: Kananaskis, Canadian Rockies, Canada","year":2012,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Glacial period; Erosion; Physical geography; Geology; Geography; Archaeology; Hydrology (agriculture); Geomorphology; Geotechnical engineering","score_opus":0.032371332539513985,"score_gpt":0.25194777355800974,"score_spread":0.21957644101849574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170792793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9102908,0.0016940885,0.002303009,0.0008938933,0.00003587774,0.0002663685,0.06763887,0.00027038675,0.016606716],"genre_scores_gemma":[0.9311718,0.0014102963,0.007998606,0.0001245494,0.000013866063,0.00014418266,0.04628653,0.00014762706,0.012702573],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994605,0.00004598462,0.000032374224,0.000078703015,0.00021692504,0.00016543707],"domain_scores_gemma":[0.9971794,0.00011137373,0.00011292066,0.00007893589,0.0022933874,0.0002239613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078701053,0.0004860249,0.0004284471,0.0034834838,0.0032059664,0.0015614682,0.0011719659,0.0002775357,0.003166542],"category_scores_gemma":[0.002407703,0.00038391585,0.0005583091,0.009331279,0.0005067528,0.0005286401,0.0007302827,0.00057564944,0.00062532345],"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":[0.00028635617,0.00014537742,0.8553792,0.00027915856,0.0003791903,0.0003458218,0.0023854095,0.011538547,0.0017584992,0.0017773833,0.039113432,0.08661177],"study_design_scores_gemma":[0.000024543575,0.00000923169,0.9820063,0.00007547073,0.00006471972,0.000041289524,0.001945806,0.0049194004,0.00035691742,0.000092990966,0.010430318,0.000032997737],"about_ca_topic_score_codex":0.99916923,"about_ca_topic_score_gemma":0.99977773,"teacher_disagreement_score":0.023256678,"about_ca_system_score_codex":0.023256678,"about_ca_system_score_gemma":0.049077865,"threshold_uncertainty_score":0.1687398},"labels":[],"label_agreement":null},{"id":"W3172115787","doi":"","title":"Sea Surface CO2 trends in the Canada Basin","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Oceanography; Climatology; Geography","score_opus":0.013594963069264481,"score_gpt":0.2229081925195976,"score_spread":0.20931322945033312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3172115787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97974074,0.0011973334,0.00007187464,0.0010581369,0.000031747728,0.000009741722,0.009725186,0.00004024357,0.008125055],"genre_scores_gemma":[0.9899485,0.00086597295,0.00010509041,0.000107717766,0.000009622688,0.0000044551093,0.002837034,0.0000138546875,0.006107713],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998056,0.0000060544676,0.000009537303,0.00003256469,0.00006710532,0.00007912522],"domain_scores_gemma":[0.99926287,0.000022634771,0.00004820161,0.0000129254695,0.00051392475,0.00013945004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019651497,0.0003098938,0.00024555624,0.0015380775,0.0015282226,0.0016883622,0.00048823137,0.000459478,0.0030373456],"category_scores_gemma":[0.00059207535,0.00019899274,0.0003328241,0.0040671006,0.00063863036,0.0005690148,0.0005689936,0.00046917124,0.00033472886],"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":[0.0004150351,0.00006635136,0.9486773,0.000111078734,0.00022177378,0.00028350318,0.0018378269,0.0035346665,0.002555056,0.0016005967,0.014154903,0.026541874],"study_design_scores_gemma":[0.000006512748,0.000007660205,0.9890989,0.000017638265,0.000028968343,0.000022817516,0.001201138,0.0010640357,0.00028138104,0.00006316735,0.008194851,0.000012959658],"about_ca_topic_score_codex":0.99752,"about_ca_topic_score_gemma":0.998718,"teacher_disagreement_score":0.029120138,"about_ca_system_score_codex":0.029120138,"about_ca_system_score_gemma":0.026678152,"threshold_uncertainty_score":0.21128237},"labels":[],"label_agreement":null},{"id":"W3172232226","doi":"","title":"Carbon and Carbon Isotope Cycling in the Western Canadian Arctic","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Carbon fibers; Carbon cycle; Arctic; Environmental science; Geography; Geology; Oceanography; Archaeology; Materials science; Ecology; Ecosystem","score_opus":0.0183474346999008,"score_gpt":0.2277389417192212,"score_spread":0.2093915070193204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3172232226","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98653597,0.0017692116,0.00014897723,0.0005975444,0.000036956233,0.000012470438,0.0024419988,0.000023418428,0.008433517],"genre_scores_gemma":[0.9925673,0.0010136309,0.00034336618,0.00011542092,0.000009344508,0.0000069890684,0.0009020261,0.000018961695,0.0050230697],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996927,0.00001520289,0.000014611554,0.000055072902,0.00011601857,0.00010634184],"domain_scores_gemma":[0.9995758,0.000018967354,0.000025553394,0.000006110862,0.0003168956,0.00005680287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044255203,0.0004368794,0.0004228502,0.0021700612,0.0064444835,0.0019457771,0.00069234637,0.0005810222,0.0017195473],"category_scores_gemma":[0.0005393182,0.0003505544,0.0003990432,0.004617598,0.0008899639,0.00054696004,0.000811669,0.00039428574,0.0002389699],"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":[0.0013970729,0.00015622775,0.8519666,0.000450891,0.0005158368,0.0006614364,0.008251194,0.009503371,0.028725052,0.0028447635,0.010669379,0.08485799],"study_design_scores_gemma":[0.000016922284,0.000013689974,0.98092216,0.00004875591,0.00006664892,0.000052064785,0.0029810213,0.0019027232,0.0013182978,0.00016478865,0.012466344,0.000046606343],"about_ca_topic_score_codex":0.99848145,"about_ca_topic_score_gemma":0.99933463,"teacher_disagreement_score":0.036561538,"about_ca_system_score_codex":0.036561538,"about_ca_system_score_gemma":0.03334194,"threshold_uncertainty_score":0.26527375},"labels":[],"label_agreement":null},{"id":"W3172304935","doi":"","title":"Assessment of Large-Scale Reanalysis Forcing on Winter Simulations in the Boreal Forest Using the Canadian Land Surface Scheme","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Forcing (mathematics); Taiga; Climatology; Environmental science; Boreal; Scale (ratio); Meteorology; Atmospheric sciences; Geography; Geology; Forestry; Cartography","score_opus":0.048681378475657684,"score_gpt":0.30025624147294694,"score_spread":0.25157486299728926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3172304935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98923814,0.00029796717,0.001326897,0.0006558705,0.00007776912,0.00007298017,0.003474841,0.0003361467,0.004519466],"genre_scores_gemma":[0.995815,0.00009942936,0.001859235,0.000071229464,0.000011965029,0.000024453671,0.0014652684,0.000050895113,0.0006025898],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999313,0.00025170873,0.000044925095,0.000112590555,0.00013099203,0.00014677744],"domain_scores_gemma":[0.9962534,0.0012025546,0.0002009288,0.00024337579,0.0017203348,0.0003794317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028003198,0.0011750808,0.00076922844,0.0007065097,0.0017278618,0.0014118791,0.00187456,0.0012630161,0.001555134],"category_scores_gemma":[0.0070627052,0.00065504457,0.00097227853,0.0011263196,0.0007902285,0.0009938779,0.0007436182,0.00080448284,0.00019064677],"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":[0.00047085783,0.00017434786,0.04308079,0.00008910782,0.00021570211,0.00011256347,0.00012441343,0.9440096,0.0018975597,0.0011594634,0.0023175736,0.006348021],"study_design_scores_gemma":[0.00022501532,0.000077659075,0.04951547,0.000027617174,0.00008422131,0.000013433593,0.00013267511,0.94757634,0.00093676534,0.00022827974,0.0011082055,0.000074375814],"about_ca_topic_score_codex":0.9527302,"about_ca_topic_score_gemma":0.94389,"teacher_disagreement_score":0.04726982,"about_ca_system_score_codex":0.008481321,"about_ca_system_score_gemma":0.010304788,"threshold_uncertainty_score":0.09509635},"labels":[],"label_agreement":null},{"id":"W3173145992","doi":"","title":"Tectonic map of the central and southwestern Pearya Terrane, Ellesmere Island, Canada","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Terrane; Geology; Tectonics; Paleontology; Physical geography; Geography","score_opus":0.011249605496020366,"score_gpt":0.20161961206884568,"score_spread":0.19037000657282532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3173145992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7252299,0.0063881907,0.001227306,0.0019078754,0.00013584786,0.00044902513,0.07692446,0.00040025025,0.18733716],"genre_scores_gemma":[0.8906528,0.0035257034,0.0032663571,0.00021805275,0.000026406446,0.00011860806,0.026292203,0.0000806446,0.07581927],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998516,0.000006848009,0.000007675808,0.00002008619,0.00006875562,0.000045004297],"domain_scores_gemma":[0.9993686,0.000017394565,0.000032948505,0.000009748853,0.00047110373,0.000100237696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012408744,0.0003485225,0.00026531983,0.00409939,0.0022363574,0.0010681765,0.00049239775,0.00023408895,0.010975446],"category_scores_gemma":[0.0004883603,0.00017837655,0.00019418038,0.00647783,0.00046697023,0.00021662211,0.0005887044,0.00038542633,0.0011054039],"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":[0.000587881,0.00021236966,0.5979062,0.0011692023,0.00029596928,0.0019776896,0.010461653,0.012273239,0.0106972,0.009718182,0.16662571,0.1880748],"study_design_scores_gemma":[0.00002175753,0.000020709667,0.9245273,0.00018171618,0.000036346635,0.0001587374,0.0046298117,0.0013714023,0.00027271782,0.00014297632,0.068612374,0.000024026454],"about_ca_topic_score_codex":0.99501145,"about_ca_topic_score_gemma":0.9988636,"teacher_disagreement_score":0.011844925,"about_ca_system_score_codex":0.011844925,"about_ca_system_score_gemma":0.02676327,"threshold_uncertainty_score":0.085941315},"labels":[],"label_agreement":null},{"id":"W3173227676","doi":"","title":"Paleoenvironmental change on the eastern Canadian continental margin during the last 500 years: implications from Lake Melville and the Gulf of St. Lawrence","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Oceanography; Geology; Continental margin; Physical geography; Margin (machine learning); Continental shelf; Geography; Archaeology; Paleontology","score_opus":0.031670852617432514,"score_gpt":0.2306867261104356,"score_spread":0.1990158734930031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3173227676","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98018277,0.0029758487,0.000154325,0.0021888106,0.000032634714,0.000015127624,0.007461058,0.000019412806,0.006970024],"genre_scores_gemma":[0.9938053,0.0014189538,0.00020920926,0.0001462798,0.0000060539883,0.000005716941,0.0017779312,0.000008041584,0.0026225974],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997601,0.000014331303,0.000015456262,0.000040485047,0.00006836039,0.00010115515],"domain_scores_gemma":[0.99924964,0.00002724885,0.000078623634,0.000016576687,0.0005248673,0.000103040875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000385554,0.00022059942,0.00024616712,0.0012751635,0.0030007917,0.0015333615,0.00085339654,0.0004569414,0.0031570196],"category_scores_gemma":[0.0011008737,0.0001966681,0.000424687,0.0040577184,0.00078482565,0.0006736391,0.0011429437,0.0005866297,0.00019237383],"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":[0.0001806967,0.000022679611,0.9555307,0.00017710896,0.00021153648,0.0002701259,0.0034908697,0.0014377033,0.0010312783,0.0016749776,0.0063980273,0.029574335],"study_design_scores_gemma":[0.0000034353247,0.0000040063933,0.9914253,0.000060805138,0.000033992725,0.000035666428,0.002527963,0.00035019987,0.000106436535,0.00006293515,0.005379798,0.000009645832],"about_ca_topic_score_codex":0.9983594,"about_ca_topic_score_gemma":0.99957854,"teacher_disagreement_score":0.025466064,"about_ca_system_score_codex":0.025466064,"about_ca_system_score_gemma":0.02787131,"threshold_uncertainty_score":0.1847701},"labels":[],"label_agreement":null},{"id":"W3173837874","doi":"","title":"Critically Assessing the Geochemical Evidence for a Terrestrial Ediacaran Biota at Mistaken Point, Newfoundland","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Biota; Geology; Earth science; Ecology","score_opus":0.1080742117766369,"score_gpt":0.35723435533564235,"score_spread":0.24916014355900545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3173837874","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9001907,0.011565948,0.00084227475,0.04578096,0.0010183029,0.00009878808,0.0018086236,0.000027505757,0.03866688],"genre_scores_gemma":[0.9774015,0.005184053,0.0016921796,0.006855256,0.00021026171,0.000034217013,0.0006678319,0.000027364189,0.007927227],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99827456,0.0003280882,0.00017904228,0.000222065,0.0003898775,0.0006063369],"domain_scores_gemma":[0.97555214,0.005760606,0.0019501869,0.0011032751,0.0144209005,0.0012128707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003892838,0.00040305444,0.00033665754,0.0024831388,0.0044347774,0.0034025642,0.0022406837,0.0011375796,0.0025042433],"category_scores_gemma":[0.017110584,0.00024992402,0.00019550032,0.0031670567,0.003992265,0.0020838014,0.0022782106,0.0018052256,0.00018952721],"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":[0.0007968751,0.000057411267,0.77883965,0.0009941725,0.00031638626,0.0050796694,0.024952771,0.0015742257,0.006054356,0.005949097,0.06885182,0.10653349],"study_design_scores_gemma":[0.00002229084,0.000038101232,0.8278145,0.0011144651,0.0002766572,0.00033592412,0.09091845,0.00051655824,0.0032706212,0.0011424682,0.0744907,0.000059184917],"about_ca_topic_score_codex":0.9585424,"about_ca_topic_score_gemma":0.9876885,"teacher_disagreement_score":0.041457593,"about_ca_system_score_codex":0.031032037,"about_ca_system_score_gemma":0.03899108,"threshold_uncertainty_score":0.22515428},"labels":[],"label_agreement":null},{"id":"W31738873","doi":"10.33321/cdi.2019.43.58","title":"Intraplate seismicity in Canada: Complex network analysis of spatio-temporal recurrences","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Intraplate earthquake; Induced seismicity; Seismology; Geology; Tectonics","score_opus":0.027677794416758942,"score_gpt":0.24913318293171072,"score_spread":0.22145538851495178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W31738873","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99384296,0.00031011316,0.0013831623,0.0002683959,0.0000052615005,0.000014483008,0.0026481277,0.00002445198,0.0015031135],"genre_scores_gemma":[0.9971131,0.00018923682,0.0005625219,0.0000095995665,0.000002967682,0.0000059436143,0.0012417966,0.000008778573,0.0008659817],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976295,0.00002999517,0.0000148060235,0.0000590411,0.000057006066,0.00007631834],"domain_scores_gemma":[0.9980416,0.00048794533,0.00023463204,0.00008597273,0.00095636287,0.00019353516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067163684,0.00026156963,0.00037102838,0.0021226075,0.0011524278,0.0012879941,0.001143352,0.00041837752,0.0019097031],"category_scores_gemma":[0.00494432,0.00023653035,0.0003422228,0.004564276,0.0006090922,0.00055170537,0.000625974,0.0005232734,0.00013168048],"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":[0.0003922488,0.00007680222,0.78886944,0.00011076819,0.00035689125,0.00047761563,0.0017384554,0.1504671,0.0012307625,0.011066741,0.004800105,0.04041305],"study_design_scores_gemma":[0.00002608762,0.000022784645,0.7103847,0.0000408001,0.0001477364,0.00009091045,0.0019344696,0.2824475,0.00032135576,0.0016307648,0.0029077865,0.000045047775],"about_ca_topic_score_codex":0.9923537,"about_ca_topic_score_gemma":0.9920054,"teacher_disagreement_score":0.011487441,"about_ca_system_score_codex":0.011487441,"about_ca_system_score_gemma":0.012982363,"threshold_uncertainty_score":0.08334762},"labels":[],"label_agreement":null},{"id":"W3174289704","doi":"","title":"3D velocity model optimization for enhanced absolute event locations: Application to Duvernay Subscription Array in western Canada","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Event (particle physics); Geology; Geodesy; Computer science; Physics","score_opus":0.015140389377343157,"score_gpt":0.2323523445083451,"score_spread":0.21721195513100194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3174289704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9118601,0.000387083,0.06846027,0.0006901409,0.00006884997,0.0001102712,0.003993197,0.0037995053,0.01063053],"genre_scores_gemma":[0.9476732,0.00012819142,0.045500454,0.000051183222,0.000015398857,0.000031262683,0.0020344618,0.00030692163,0.0042590033],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997993,0.000025405956,0.000010850537,0.0000521278,0.000056506804,0.000055806424],"domain_scores_gemma":[0.999466,0.00017437479,0.000037054866,0.00003917788,0.00023207026,0.0000512611],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000516075,0.00092531485,0.00077610544,0.00085883675,0.0011083679,0.0013750676,0.0014438288,0.0008958649,0.0025500583],"category_scores_gemma":[0.0020780594,0.0006806718,0.0006022804,0.0017125027,0.00032148865,0.0005794899,0.0005904861,0.00079352036,0.00045937445],"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":[0.0001598698,0.00009629588,0.012889785,0.000057737074,0.00005407472,0.0002083674,0.00016146562,0.9417167,0.0023176942,0.00085752516,0.002464284,0.039016206],"study_design_scores_gemma":[0.00002941148,0.000010860269,0.0042900634,0.000004267345,0.000010569156,0.000012213195,0.0000913635,0.99407864,0.0006199741,0.00018706283,0.00065115374,0.000014471889],"about_ca_topic_score_codex":0.91015553,"about_ca_topic_score_gemma":0.92289805,"teacher_disagreement_score":0.089844465,"about_ca_system_score_codex":0.0043928265,"about_ca_system_score_gemma":0.010494983,"threshold_uncertainty_score":0.18074709},"labels":[],"label_agreement":null},{"id":"W3174963945","doi":"","title":"Can we assess Greenhouse Gas Emission trends in Canada's largest population center?","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Center (category theory); Population; Environmental science; Geography; Geology; Environmental health; Medicine","score_opus":0.026351821211865082,"score_gpt":0.25143848050211265,"score_spread":0.22508665929024757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3174963945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7512092,0.008534342,0.0035031,0.03827966,0.0004992712,0.00022067725,0.11655683,0.00027479342,0.080922104],"genre_scores_gemma":[0.9695357,0.0041815983,0.0022794825,0.0024449574,0.00007053554,0.000073439776,0.01501331,0.00005129828,0.0063496795],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989342,0.000078741665,0.000049531056,0.00011862771,0.00034831892,0.00047061525],"domain_scores_gemma":[0.9943188,0.00030636255,0.00046781404,0.00008529428,0.0041073128,0.00071433873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011634396,0.00059163786,0.0004016353,0.0036709807,0.002129828,0.0034685046,0.0014921338,0.0007181991,0.0037181107],"category_scores_gemma":[0.0070690718,0.00022769111,0.00070823065,0.009289772,0.00071311544,0.0022703898,0.0010054527,0.0012029484,0.00057853933],"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":[0.00008548902,0.00007388431,0.92643076,0.00019285265,0.00024473364,0.00007657787,0.0009874417,0.003380658,0.00019510006,0.0040363804,0.03065121,0.033644997],"study_design_scores_gemma":[0.0000114945315,0.000033184107,0.95920014,0.00025656796,0.00013031503,0.00003164566,0.00684548,0.003894401,0.00043493888,0.0010616612,0.028055875,0.000044258624],"about_ca_topic_score_codex":0.996933,"about_ca_topic_score_gemma":0.9987147,"teacher_disagreement_score":0.038675234,"about_ca_system_score_codex":0.038675234,"about_ca_system_score_gemma":0.07203089,"threshold_uncertainty_score":0.2806098},"labels":[],"label_agreement":null},{"id":"W3175166839","doi":"","title":"Late Quaternary extent and retreat of the Laurentide Ice Sheet in Clyde Inlet and its adjacent continental shelf, northeastern Baffin Island (Arctic Canada)","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Oceanography; Quaternary; Continental shelf; Inlet; Ice sheet; Arctic; Ice shelf; Iceberg; Sea ice; Paleontology; Cryosphere","score_opus":0.015224850333181841,"score_gpt":0.19348511744960292,"score_spread":0.17826026711642107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175166839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965888,0.0002691159,0.000019117848,0.00009966438,0.0000104632145,0.0000043858304,0.0012092507,0.0000033041072,0.0017958761],"genre_scores_gemma":[0.9958675,0.00022221026,0.00006243626,0.00004549987,0.0000068594104,0.0000058545384,0.0016111918,0.000004366677,0.0021740876],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99983096,0.000012755746,0.000015810976,0.0000424351,0.0000387265,0.00005924417],"domain_scores_gemma":[0.9984659,0.00010427291,0.0002906822,0.000037263566,0.0007517336,0.00035019254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005399166,0.00016639191,0.0002574749,0.0019496063,0.0017186981,0.0013239975,0.0005578035,0.00042904794,0.0020718428],"category_scores_gemma":[0.0014166799,0.0002103124,0.0002155672,0.0018297256,0.0007675794,0.0005512071,0.00084040395,0.00037904346,0.00031432047],"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":[0.00012696517,0.000020513098,0.9931079,0.000027442962,0.000039243852,0.00012254663,0.0016079395,0.00021265283,0.00054653495,0.00011975373,0.0008805561,0.00318796],"study_design_scores_gemma":[0.0000017859727,0.000003379398,0.9986255,0.000011274215,0.0000035774187,0.000015249357,0.00068473944,0.000049814902,0.000025042702,0.0000042851957,0.00057397335,0.0000014353582],"about_ca_topic_score_codex":0.93614215,"about_ca_topic_score_gemma":0.9852824,"teacher_disagreement_score":0.06385785,"about_ca_system_score_codex":0.0063115945,"about_ca_system_score_gemma":0.0061645266,"threshold_uncertainty_score":0.1284678},"labels":[],"label_agreement":null},{"id":"W3175454479","doi":"","title":"Metasomatism and oxidation state of the lithospheric mantle beneath the Rae craton, Canada as revealed by xenoliths from Somerset Island and Pelly Bay","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metasomatism; Craton; Geology; Bay; Xenolith; Mantle (geology); Lithosphere; Geochemistry; Oceanography; Paleontology; Tectonics","score_opus":0.004524878807091188,"score_gpt":0.17848450510785488,"score_spread":0.1739596263007637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175454479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99759585,0.00015813568,0.000044502034,0.000025763513,0.0000013954385,0.000004043905,0.00030768753,0.0000041315725,0.0018583551],"genre_scores_gemma":[0.99891305,0.00012733703,0.000059884747,0.000009350851,7.146632e-7,0.0000015654,0.00019818125,0.000003106959,0.00068688754],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999205,0.000002452934,0.0000027531878,0.000014972372,0.000024465757,0.00003484655],"domain_scores_gemma":[0.9998735,0.000008321037,0.00001574828,0.0000048065554,0.000069077396,0.000028429502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008713197,0.0002469252,0.00020566808,0.001467263,0.0017598699,0.0009904782,0.00040320738,0.0002927844,0.0017209715],"category_scores_gemma":[0.0002941049,0.00025457743,0.00017057017,0.0017997392,0.000865115,0.00024070415,0.0005699828,0.00024853298,0.00020916668],"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":[0.0005092898,0.00003163689,0.8873397,0.00009306336,0.000113721275,0.0005872255,0.0052148732,0.0008048891,0.0894043,0.000528319,0.00038499708,0.014987814],"study_design_scores_gemma":[0.00000242684,0.0000065687414,0.9977835,0.000006085298,0.00000735493,0.00004477368,0.000855988,0.0001226355,0.00071239873,0.000013030219,0.0004421881,0.0000030148726],"about_ca_topic_score_codex":0.9449354,"about_ca_topic_score_gemma":0.97303617,"teacher_disagreement_score":0.05506462,"about_ca_system_score_codex":0.0032433448,"about_ca_system_score_gemma":0.0042746128,"threshold_uncertainty_score":0.110777736},"labels":[],"label_agreement":null},{"id":"W3175601575","doi":"","title":"The model of Mohorovicic surface for north Athlantic, north-east Canada, Greenland with adjacent seas and Barents-Kara region.","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Oceanography; Geography; Climatology","score_opus":0.051828168410245436,"score_gpt":0.21312165774011924,"score_spread":0.1612934893298738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175601575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7266273,0.0015606146,0.025130728,0.0024705923,0.00062422943,0.00017299503,0.08994491,0.0028153243,0.15065347],"genre_scores_gemma":[0.96803445,0.0002882777,0.0033195135,0.00009183845,0.000016897322,0.000049920694,0.0122103,0.00030992666,0.015678935],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998814,0.00001193458,0.0000039191796,0.000029797053,0.000029217632,0.000043680786],"domain_scores_gemma":[0.99979967,0.000023742517,0.000008607938,0.000013267333,0.00012217413,0.000032640517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012177577,0.00053008494,0.0003855169,0.000488677,0.0010469202,0.001295631,0.0016713437,0.0012681041,0.010595454],"category_scores_gemma":[0.00062228594,0.00036655934,0.0006106665,0.0011840775,0.00043661898,0.00056732947,0.00042839587,0.0007883376,0.0013575642],"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":[0.000081482154,0.000031465406,0.010692507,0.00005501231,0.000048493035,0.00009471125,0.000060784114,0.9715666,0.0007652682,0.0037880728,0.0089727575,0.003842922],"study_design_scores_gemma":[0.0000994124,0.000014965263,0.014947356,0.000047177877,0.0000340594,0.000038363538,0.00023747257,0.96821386,0.0005401195,0.0014430621,0.014328956,0.000055210206],"about_ca_topic_score_codex":0.93435484,"about_ca_topic_score_gemma":0.88909256,"teacher_disagreement_score":0.06564516,"about_ca_system_score_codex":0.0065303124,"about_ca_system_score_gemma":0.007815371,"threshold_uncertainty_score":0.13206345},"labels":[],"label_agreement":null},{"id":"W3175672200","doi":"","title":"Comparison of biogeochemical signals between a pingo-like feature and a mud volcano in the Canadian Beaufort Sea","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Biogeochemical cycle; Oceanography; Beaufort sea; Feature (linguistics); Volcano; Sea ice; Geology; Mud volcano; Environmental science; Geochemistry; Environmental chemistry","score_opus":0.026158199108261632,"score_gpt":0.2725862071688471,"score_spread":0.24642800806058543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175672200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99748105,0.00012100787,0.00005221252,0.00007724521,0.000005865886,0.0000060558427,0.00035280627,0.0000074083614,0.0018965325],"genre_scores_gemma":[0.99905914,0.00006541038,0.00009290902,0.000023755996,0.0000040260265,0.0000030614585,0.00030723974,0.000003254697,0.00044115496],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99978024,0.000009785215,0.0000070607275,0.00004811723,0.000063465755,0.00009127223],"domain_scores_gemma":[0.99947435,0.00004799386,0.00008228086,0.00001330056,0.00023433578,0.00014767073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019491198,0.00027310284,0.00028901175,0.0017761195,0.0023166675,0.0008850014,0.00056527625,0.0005007369,0.0010877169],"category_scores_gemma":[0.0005411109,0.00022076102,0.00028411378,0.0019608522,0.0010153227,0.00027928868,0.00079292053,0.00037051336,0.00010915193],"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":[0.00035234736,0.000033022174,0.9615214,0.00004768144,0.000107407315,0.00047688442,0.0018316178,0.0006797242,0.025737012,0.00024629052,0.000601228,0.008365349],"study_design_scores_gemma":[0.0000017806269,0.000005396863,0.9988977,0.000002078653,0.0000055200953,0.00001771664,0.00043235475,0.00014340786,0.00014254256,0.000005915605,0.00034199713,0.0000035908852],"about_ca_topic_score_codex":0.95387524,"about_ca_topic_score_gemma":0.97786885,"teacher_disagreement_score":0.046124756,"about_ca_system_score_codex":0.0068599503,"about_ca_system_score_gemma":0.005263031,"threshold_uncertainty_score":0.09279275},"labels":[],"label_agreement":null},{"id":"W3175696668","doi":"","title":"Palaeotemperature evolution in the Carnian-Norian transition (Late Triassic): conodont oxygen isotope evidence from the Canadian Cordillera","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Paleontology and Stratigraphy of Fossils","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Conodont; Geology; Paleontology; Biostratigraphy","score_opus":0.02370600438789056,"score_gpt":0.2241899376206632,"score_spread":0.20048393323277264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175696668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99507314,0.001293212,0.000047661368,0.00010523052,0.000003971313,0.0000045403585,0.00051818765,0.0000048532975,0.0029493007],"genre_scores_gemma":[0.99755234,0.0007253333,0.0001297413,0.00004203183,0.000002404645,0.0000039779206,0.00039398044,0.000007517788,0.0011426624],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998191,0.000008866351,0.000007169434,0.00005023672,0.000049681705,0.00006501826],"domain_scores_gemma":[0.9994887,0.000025119674,0.00007145979,0.0000137974475,0.00031158107,0.000089266236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003595844,0.00030131187,0.00035823372,0.0020899582,0.0024560904,0.001284406,0.00059106183,0.0004002263,0.003320169],"category_scores_gemma":[0.0007739747,0.00019017146,0.00016119129,0.004205054,0.00095946214,0.00035164942,0.00081262796,0.0003006605,0.00022850341],"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":[0.00038062647,0.00003270806,0.94662434,0.00011720168,0.00011935404,0.00019978131,0.0062007136,0.00031622642,0.009802921,0.0009960199,0.0008305785,0.03437967],"study_design_scores_gemma":[0.0000015131328,0.000004744284,0.9982742,0.000010382718,0.000009810212,0.000026721656,0.0004912334,0.000045552013,0.00012136088,0.000025803663,0.0009858167,0.0000028439806],"about_ca_topic_score_codex":0.9726102,"about_ca_topic_score_gemma":0.9929403,"teacher_disagreement_score":0.027389824,"about_ca_system_score_codex":0.010678957,"about_ca_system_score_gemma":0.007000106,"threshold_uncertainty_score":0.07748163},"labels":[],"label_agreement":null},{"id":"W3176025262","doi":"","title":"An Irminger Ring Mooring in the Labrador Sea","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mooring; Oceanography; Geology; Ring (chemistry); Chemistry","score_opus":0.043510294541911805,"score_gpt":0.25445464773091364,"score_spread":0.21094435318900184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3176025262","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950812,0.00003072831,0.00006353243,0.000051939973,0.0000075986927,0.000012151817,0.00011254473,0.000014377382,0.004625946],"genre_scores_gemma":[0.9940877,0.00004165544,0.00040575693,0.00002994543,0.000005233122,0.00000740759,0.00019272341,0.000007963443,0.0052217045],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99973875,0.00004893347,0.000008897385,0.000056151963,0.000040110255,0.00010700648],"domain_scores_gemma":[0.9998462,0.000011966093,0.000027841774,0.000017737117,0.000032209726,0.00006401181],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002756941,0.00030569613,0.00041835278,0.0005985304,0.002049059,0.00062892126,0.00068051706,0.0007970041,0.001975586],"category_scores_gemma":[0.0005162135,0.00020726479,0.0003688471,0.00076924526,0.0005892217,0.0005078096,0.0009861102,0.00056857726,0.00078782585],"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":[0.0045812484,0.0006570774,0.80264914,0.0001669487,0.00042142358,0.008286864,0.010485427,0.014122513,0.07026076,0.0023137243,0.0050454903,0.081009366],"study_design_scores_gemma":[0.00007714679,0.0016536774,0.97454095,0.000047624544,0.00013764948,0.00040018975,0.0076850103,0.0052890307,0.0035506045,0.00017791266,0.006398446,0.000041678504],"about_ca_topic_score_codex":0.1533351,"about_ca_topic_score_gemma":0.35737222,"teacher_disagreement_score":0.8466649,"about_ca_system_score_codex":0.0013321642,"about_ca_system_score_gemma":0.0012863856,"threshold_uncertainty_score":0.30488515},"labels":[],"label_agreement":null},{"id":"W3176394677","doi":"","title":"Episodic magmatism resulting from intermittent rifting of the proto-North Atlantic: Insights from new geochronological constraints in Newfoundland, Canada","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Rift; Magmatism; Geology; Paleontology; Oceanography; Tectonics","score_opus":0.01960329976679336,"score_gpt":0.2208856899307554,"score_spread":0.20128239016396204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3176394677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912771,0.0006549888,0.00017251827,0.00032040276,0.000009968393,0.000013252391,0.0018995053,0.000012791433,0.0056395032],"genre_scores_gemma":[0.9981244,0.0002963632,0.00015114248,0.00004675424,0.0000045244883,0.000005159215,0.0006020774,0.000011348438,0.0007582424],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999671,0.000018581643,0.000021757147,0.00007567942,0.000068712725,0.0001442248],"domain_scores_gemma":[0.99803704,0.00021018708,0.00041232893,0.00008148419,0.0010321577,0.00022684656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005868051,0.00018835154,0.00038533486,0.002044957,0.002762891,0.0021554066,0.001106692,0.00048516158,0.0031822687],"category_scores_gemma":[0.0020383766,0.0002997981,0.00021074478,0.0038054758,0.0016369972,0.00070519187,0.001198557,0.0007288272,0.00023784519],"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":[0.00026526357,0.000041724077,0.9615902,0.00012803733,0.00015510761,0.00036729427,0.005278864,0.0019115349,0.003664174,0.0011992591,0.0021556206,0.023243012],"study_design_scores_gemma":[0.000003363123,0.000002891834,0.9974166,0.000019011788,0.000013061739,0.000021936004,0.00090858765,0.00022627226,0.00006855882,0.000027482341,0.0012855538,0.000006586578],"about_ca_topic_score_codex":0.9932968,"about_ca_topic_score_gemma":0.99820495,"teacher_disagreement_score":0.022948213,"about_ca_system_score_codex":0.022948213,"about_ca_system_score_gemma":0.016519839,"threshold_uncertainty_score":0.1665017},"labels":[],"label_agreement":null},{"id":"W3176511216","doi":"","title":"Climate change impact on spring flood volume in northeastern Canada watersheds using a climate ensemble","year":2013,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Spring (device); Climate change; Flood myth; Environmental science; Hydrology (agriculture); Flooding (psychology); Physical geography; Climatology; Volume (thermodynamics); Geography; Geology; Archaeology; Oceanography","score_opus":0.0253409404665827,"score_gpt":0.23951530075838465,"score_spread":0.21417436029180195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3176511216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99651575,0.00010137899,0.00023750868,0.000107425,0.000016241875,0.0000052642017,0.0023168873,0.0000562794,0.0006432025],"genre_scores_gemma":[0.9952247,0.00011051708,0.0003034217,0.000022268407,0.000009200333,0.000005817288,0.0036727935,0.000014835244,0.00063641724],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975747,0.000027968741,0.000016656251,0.0000823318,0.000057452144,0.00005809806],"domain_scores_gemma":[0.9994173,0.00009833334,0.000050153445,0.00005215994,0.00026093228,0.00012117213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006016444,0.00039705448,0.00048125823,0.0007004968,0.0010149761,0.0010836486,0.0008618794,0.00058653107,0.0011096405],"category_scores_gemma":[0.0013360489,0.0003453039,0.00079996727,0.0014708331,0.00033967788,0.00057664583,0.0005435655,0.0005293011,0.00017918629],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032109822,0.00015392392,0.82843775,0.000030527186,0.0006945849,0.00016188402,0.00030404853,0.15261355,0.0012826334,0.00029051417,0.0032498627,0.012459601],"study_design_scores_gemma":[0.000034102453,0.000019298688,0.8308299,0.00001689753,0.00018271398,0.000035927464,0.0004811024,0.16591175,0.00042238148,0.00018139844,0.0018353891,0.000049088518],"about_ca_topic_score_codex":0.955683,"about_ca_topic_score_gemma":0.96807367,"teacher_disagreement_score":0.044317007,"about_ca_system_score_codex":0.006032107,"about_ca_system_score_gemma":0.006166595,"threshold_uncertainty_score":0.08915597},"labels":[],"label_agreement":null},{"id":"W3177225569","doi":"","title":"Interior pathways of Labrador Sea Water in the North Atlantic from the Argo perspective","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Argo; Perspective (graphical); Oceanography; Geology; North Atlantic Deep Water; Geography; Climatology; Deep water","score_opus":0.03014562762371161,"score_gpt":0.21062635432922594,"score_spread":0.18048072670551432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3177225569","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80797935,0.001784874,0.0007988588,0.0045824214,0.000081571525,0.00002809096,0.00133389,0.000036539226,0.18337432],"genre_scores_gemma":[0.99011,0.0012764011,0.0010928262,0.00045480765,0.000021871674,0.000008608882,0.00022768474,0.000023461793,0.0067843646],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998809,0.000019310766,0.0000061565006,0.000013249849,0.000021001615,0.000059392463],"domain_scores_gemma":[0.9998067,0.000016659373,0.000044431945,0.0000071542913,0.00006773544,0.00005740026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016941786,0.00015980385,0.00021125295,0.0007978654,0.0013805327,0.002812526,0.00030165623,0.00038217747,0.0045032487],"category_scores_gemma":[0.00049034203,0.0001387791,0.00026489873,0.0009945196,0.00082109205,0.0010148943,0.0015623686,0.0006335489,0.00037068102],"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":[0.00072129717,0.00015007748,0.7300382,0.00040291648,0.00015775244,0.0022214067,0.012669578,0.0069704554,0.008051872,0.080962956,0.010076466,0.147577],"study_design_scores_gemma":[0.000053160144,0.00009246481,0.8352833,0.00055894506,0.00014231197,0.0002503992,0.026459701,0.0047538565,0.0009048863,0.008904878,0.122529104,0.00006701007],"about_ca_topic_score_codex":0.4764697,"about_ca_topic_score_gemma":0.75662315,"teacher_disagreement_score":0.5235303,"about_ca_system_score_codex":0.0041647134,"about_ca_system_score_gemma":0.0037956475,"threshold_uncertainty_score":0.94739264},"labels":[],"label_agreement":null},{"id":"W3177528538","doi":"","title":"Multivariate quantile mapping bias correction: An N-dimensional probability density function transform for climate model simulations of multiple variables","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Hydrology and Drought Analysis","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":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Univariate; Quantile; Multivariate statistics; Mathematics; Statistics; Projection (relational algebra); Algorithm","score_opus":0.07830403651239022,"score_gpt":0.29182154788438336,"score_spread":0.21351751137199315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3177528538","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":[0.007264495,0.000044604923,0.990666,0.00006493086,0.00002208662,0.000021097803,0.00006611666,0.0013140088,0.0005365749],"genre_scores_gemma":[0.2340027,0.00012640118,0.7631948,0.00007371797,0.000030904033,0.00012330542,0.00027518065,0.0006467859,0.0015261688],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999688,0.00008505579,0.000012009515,0.00005392705,0.00013416166,0.000026747559],"domain_scores_gemma":[0.99919873,0.00037103865,0.00009149341,0.000117318305,0.00019532374,0.000026056456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001380711,0.000511956,0.00039809846,0.00052624854,0.00040956453,0.0005310724,0.0009301464,0.0005628604,0.0034741904],"category_scores_gemma":[0.004983589,0.00030843273,0.0007117568,0.00066037505,0.00034105417,0.0008591674,0.0009049118,0.001142418,0.0006846155],"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":[0.00013384825,0.000076339384,0.0039218576,0.000077835095,0.00007112424,0.00010242516,0.00008807802,0.7054412,0.0100081405,0.01507115,0.0045460993,0.26046196],"study_design_scores_gemma":[0.0000055900714,0.000007513975,0.0004319372,0.000002850879,0.000003092473,0.000019208313,0.0000045618567,0.99486744,0.0017175648,0.0018904334,0.001043231,0.0000066639873],"about_ca_topic_score_codex":0.009844821,"about_ca_topic_score_gemma":0.00713637,"teacher_disagreement_score":0.009844821,"about_ca_system_score_codex":0.0006295716,"about_ca_system_score_gemma":0.0012104044,"threshold_uncertainty_score":0.019575},"labels":[],"label_agreement":null},{"id":"W3177627004","doi":"","title":"Regional climate scenario projections of impact on a coastal Marine Protected Area in Labrador, Canada","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Marine protected area; Geography; Oceanography; Environmental science; Climatology; Geology; Habitat","score_opus":0.02475764116230609,"score_gpt":0.2632924759849124,"score_spread":0.23853483482260632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3177627004","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93500096,0.0014031882,0.000727437,0.00276038,0.00012850268,0.000094432224,0.03905583,0.00022172081,0.02060751],"genre_scores_gemma":[0.98429585,0.0009175038,0.00076045387,0.00020551395,0.000013394177,0.00003939513,0.006950631,0.000029506546,0.0067878487],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949896,0.000079178986,0.000026681719,0.00006244904,0.00012206657,0.00021066306],"domain_scores_gemma":[0.9992126,0.000034629935,0.000058487334,0.0000134575785,0.0005008313,0.00017993784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005673351,0.00071397086,0.0006083493,0.0012258161,0.0014625876,0.0019411101,0.0014216128,0.00080192235,0.0033666173],"category_scores_gemma":[0.001099354,0.00037198837,0.001339808,0.0026166765,0.00052519125,0.0006334719,0.000752028,0.0007237445,0.00045495707],"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":[0.0018948864,0.00027935515,0.3946364,0.00040514552,0.0014625513,0.0018916455,0.00088789006,0.51555735,0.0029128958,0.009204952,0.050475147,0.020391833],"study_design_scores_gemma":[0.0007776645,0.00025716433,0.6531051,0.00030148734,0.0009818161,0.00036083005,0.005456342,0.2994825,0.001586135,0.0025318111,0.03484083,0.00031842318],"about_ca_topic_score_codex":0.994612,"about_ca_topic_score_gemma":0.9955102,"teacher_disagreement_score":0.048036776,"about_ca_system_score_codex":0.048036776,"about_ca_system_score_gemma":0.029437097,"threshold_uncertainty_score":0.34853286},"labels":[],"label_agreement":null},{"id":"W3178120878","doi":"","title":"Canadian Arctic glaciers a major contributor to sea level rise from glaciers and ice caps: Lessons from >50 years of monitoring activities","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Glacier; Sea level rise; Arctic; Physical geography; Sea ice; Cryosphere; Future sea level; Ice caps; Arctic ice pack; Geography; Climate change; Climatology; Oceanography; Geology; Antarctic sea ice","score_opus":0.0353566665265957,"score_gpt":0.2459913445313226,"score_spread":0.2106346780047269,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3178120878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48387823,0.20702963,0.0044066347,0.12505375,0.004063909,0.00017089074,0.015255183,0.0005085984,0.15963325],"genre_scores_gemma":[0.844834,0.11646684,0.003865647,0.011500253,0.0007244308,0.00005668485,0.004210485,0.00013085168,0.01821087],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9988562,0.00009669212,0.00006515033,0.00017175847,0.00048803748,0.00032209934],"domain_scores_gemma":[0.993916,0.00078195124,0.0005392066,0.00032705377,0.0036989588,0.00073683937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040467647,0.000600638,0.00050602446,0.0015904291,0.0031557367,0.00430513,0.0011534226,0.0011282703,0.002308357],"category_scores_gemma":[0.0062686875,0.0003162819,0.00046689593,0.0036039592,0.001907141,0.0023847476,0.0018151263,0.0022473694,0.00038543346],"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":[0.00019934657,0.00008325065,0.342415,0.00086607115,0.00050666207,0.0006322522,0.007845959,0.0025662493,0.0016619497,0.005405576,0.066440925,0.5713768],"study_design_scores_gemma":[0.000015824991,0.00006015779,0.6933742,0.0021188331,0.00023840542,0.00017616658,0.010626115,0.0007166242,0.0007075883,0.0033957614,0.2884615,0.000108907385],"about_ca_topic_score_codex":0.9620032,"about_ca_topic_score_gemma":0.9863631,"teacher_disagreement_score":0.03799683,"about_ca_system_score_codex":0.013911174,"about_ca_system_score_gemma":0.0517181,"threshold_uncertainty_score":0.100933075},"labels":[],"label_agreement":null},{"id":"W3178726656","doi":"","title":"Evaluation of an operational streamflow forecasting system driven by ensemble precipitation forecasts : a case study for the Gatineau watershed","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Streamflow; Watershed; Precipitation; Environmental science; Flood forecasting; Climatology; Meteorology; Quantitative precipitation forecast; Stream flow; Hydrology (agriculture); Geography; Computer science; Geology; Drainage basin; Machine learning; Cartography","score_opus":0.05838980460120579,"score_gpt":0.29384522626803555,"score_spread":0.23545542166682976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3178726656","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99670804,0.000024673942,0.0017743711,0.00012383262,0.000015486348,0.000058779016,0.00014033828,0.00020989258,0.00094463734],"genre_scores_gemma":[0.99369943,0.000027077247,0.0053649168,0.000021063664,0.0000060411053,0.000031393567,0.00033796614,0.000027702717,0.00048442866],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921393,0.00035823547,0.00004520605,0.0001260494,0.000160611,0.000095901465],"domain_scores_gemma":[0.99680126,0.001534924,0.00019959659,0.00021443055,0.00092813285,0.00032160382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023020052,0.0007853471,0.0006070128,0.0005645345,0.00078446296,0.0010974533,0.00094134646,0.0009653166,0.0009227312],"category_scores_gemma":[0.004540845,0.00037594826,0.00032305066,0.00079968496,0.0006714826,0.0010651925,0.000572828,0.00070759916,0.00015880057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023235872,0.0030314033,0.049732365,0.00016417746,0.00022922944,0.0012955177,0.00082765945,0.8478645,0.014941167,0.0013519276,0.0028242166,0.07541429],"study_design_scores_gemma":[0.00031669674,0.000810746,0.017448308,0.000010660795,0.000055323064,0.000048473456,0.00035480602,0.9757791,0.0042010136,0.00025016343,0.0006929925,0.00003175676],"about_ca_topic_score_codex":0.11094462,"about_ca_topic_score_gemma":0.08163471,"teacher_disagreement_score":0.8890554,"about_ca_system_score_codex":0.0023021137,"about_ca_system_score_gemma":0.0020356276,"threshold_uncertainty_score":0.22059774},"labels":[],"label_agreement":null},{"id":"W3178849499","doi":"","title":"Early-Middle Ordovician ridge-trench collision during the closure of Iapetus: Evidence from the Dunnage Melange tract, Newfoundland Appalachians","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Ordovician; Trench; Ridge; Paleontology; Closure (psychology); Collision; Seismology","score_opus":0.031823527397738804,"score_gpt":0.2492698818794299,"score_spread":0.21744635448169108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3178849499","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99862766,0.00006316551,0.000014789761,0.000030876323,0.0000015255025,0.000003845808,0.00017403605,0.0000010319055,0.0010831045],"genre_scores_gemma":[0.9988343,0.00008922992,0.000035076857,0.000027500126,0.000002593003,0.000007861948,0.00029946642,0.0000025981294,0.00070127926],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99966943,0.000035257806,0.000012517221,0.000049720387,0.000039092207,0.00019395808],"domain_scores_gemma":[0.9990983,0.00012529417,0.00027379324,0.000042724598,0.000236801,0.00022316555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034262272,0.00016718819,0.00027328075,0.0012973599,0.0028042078,0.0013761452,0.0010017109,0.0005791578,0.0021738114],"category_scores_gemma":[0.0011780474,0.00034678727,0.00016169451,0.0018526105,0.0016868159,0.00063296553,0.0017084171,0.0005763969,0.00028954487],"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":[0.00015470378,0.00004274477,0.9861794,0.000022065824,0.000034950466,0.0005545074,0.007673709,0.00009901636,0.0010098503,0.00015989158,0.00044216582,0.0036270204],"study_design_scores_gemma":[9.186034e-7,0.0000060435823,0.9956268,0.0000078984285,0.0000035821454,0.000032656626,0.0039238436,0.000016990754,0.00003047947,0.0000050722865,0.00034408362,0.0000016444046],"about_ca_topic_score_codex":0.88240874,"about_ca_topic_score_gemma":0.97238624,"teacher_disagreement_score":0.11759126,"about_ca_system_score_codex":0.004288931,"about_ca_system_score_gemma":0.003533817,"threshold_uncertainty_score":0.2365675},"labels":[],"label_agreement":null},{"id":"W3179603070","doi":"","title":"Inner core - mantle gravitational locking and the super-rotation of the inner core","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geomagnetism and Paleomagnetism Studies","field":"Biochemistry, Genetics and Molecular Biology","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":"Inner core; Mantle (geology); Outer core; Physics; Geophysics; Differential rotation; Core–mantle boundary; Earth's rotation; Dynamo theory; Geology; Angular momentum; Geodesy; Dynamo; Classical mechanics; Magnetic field; Astrophysics; Stars","score_opus":0.018091209839028958,"score_gpt":0.2507313910432099,"score_spread":0.23264018120418095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3179603070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994836,0.00015487753,0.003483029,0.000035006182,0.0000037917744,0.0000020266507,0.000019719824,0.000027344186,0.0014381943],"genre_scores_gemma":[0.9996779,0.000015717742,0.00020996842,0.0000032463033,0.0000018729322,6.226764e-7,0.00000903314,0.0000033951637,0.00007821539],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992955,0.000009958822,0.000004319787,0.000021802327,0.000014017576,0.000020321539],"domain_scores_gemma":[0.9994234,0.00013105135,0.00025934886,0.000069214286,0.00003898907,0.000078005476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021130049,0.00016393,0.00017056009,0.0003793609,0.000118135846,0.0004089678,0.00030775747,0.00021954878,0.0015455612],"category_scores_gemma":[0.0009755786,0.00012557018,0.00018161522,0.00014006947,0.00041354392,0.00029935793,0.0005665484,0.00023021898,0.00018515582],"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":[0.00037377194,0.000060916147,0.19814676,0.00012302161,0.00009379784,0.0005731199,0.0005626532,0.020695044,0.7383724,0.015061717,0.00017513384,0.025761697],"study_design_scores_gemma":[0.000039666553,0.00026806645,0.81185067,0.00003413801,0.00007411126,0.00092661654,0.00026008466,0.101782516,0.07030382,0.011673496,0.0027447555,0.000042044165],"about_ca_topic_score_codex":0.0006732868,"about_ca_topic_score_gemma":0.0004608156,"teacher_disagreement_score":0.0015455612,"about_ca_system_score_codex":0.00023698182,"about_ca_system_score_gemma":0.00012463209,"threshold_uncertainty_score":0.0051703453},"labels":[],"label_agreement":null},{"id":"W3181188871","doi":"","title":"Post-eruptive maar lake sediments in kimberlite pipes: progress and prospects for reconstructing \"greenhouse\" paleoenvironments in subarctic Canada","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Maar; Subarctic climate; Kimberlite; Geology; Earth science; Geochemistry; Physical geography; Hydrology (agriculture); Environmental science; Oceanography; Geography; Volcano; Mantle (geology)","score_opus":0.013293393466552757,"score_gpt":0.22950472130217942,"score_spread":0.21621132783562666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3181188871","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99777764,0.000248171,0.000067915316,0.00004169546,0.0000017103878,0.000005299229,0.00048726992,0.000008272926,0.0013620168],"genre_scores_gemma":[0.99858415,0.00022041406,0.00015513317,0.000014709433,0.0000013097464,0.0000035053808,0.00031547062,0.000005791341,0.0006996172],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999356,0.0000035383468,0.0000031365182,0.000016236707,0.000014026475,0.00002746342],"domain_scores_gemma":[0.9997327,0.000022880557,0.00004086232,0.000008171629,0.00015435093,0.000041058214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017837094,0.00022224146,0.0001493779,0.0014309196,0.0017323566,0.0012623023,0.00045213973,0.00024907265,0.0016658384],"category_scores_gemma":[0.00043136333,0.00017934183,0.00013972039,0.0022316268,0.000714657,0.000702569,0.0005005324,0.00022769785,0.00016959064],"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":[0.00033827688,0.00004135268,0.9570556,0.000077203724,0.0000775905,0.00025902552,0.005565323,0.00086285407,0.013727896,0.00033355746,0.000503188,0.0211582],"study_design_scores_gemma":[0.0000014374797,0.0000044689755,0.9974383,0.0000058674254,0.00000837107,0.000019072455,0.0014159253,0.00013292866,0.00039452058,0.000013086772,0.00056361273,0.0000024598442],"about_ca_topic_score_codex":0.944059,"about_ca_topic_score_gemma":0.98087996,"teacher_disagreement_score":0.055940986,"about_ca_system_score_codex":0.005963163,"about_ca_system_score_gemma":0.0049258727,"threshold_uncertainty_score":0.11254084},"labels":[],"label_agreement":null},{"id":"W3181703933","doi":"","title":"The impact of tropical sea surface temperatures on recent circulation trends over north Canada and Greenland","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Climatology; Circulation (fluid dynamics); Oceanography; Geography; Geology; Sea surface temperature","score_opus":0.02239665732074036,"score_gpt":0.26411447806795246,"score_spread":0.2417178207472121,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3181703933","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99229527,0.0006593052,0.00008245258,0.0012649283,0.00005028831,0.00000417405,0.0027376884,0.000014856282,0.0028910595],"genre_scores_gemma":[0.99721706,0.00058141054,0.000058700112,0.000079147074,0.000016257163,0.000001942462,0.00092355895,0.000009645067,0.001112268],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975365,0.000015229561,0.00001491501,0.00004472291,0.00006509448,0.00010647588],"domain_scores_gemma":[0.9988098,0.00012722908,0.0001439989,0.00003317469,0.0006117418,0.00027412898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041528096,0.00027108612,0.00024413061,0.0008495411,0.0016852226,0.0023132612,0.0006037905,0.0005736109,0.0026681356],"category_scores_gemma":[0.0024241959,0.0002137846,0.0005276275,0.0022298861,0.00090883987,0.0008683036,0.0007717365,0.0007302747,0.00022786792],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002335888,0.00003598677,0.9754925,0.000060178514,0.00024425096,0.0002562053,0.00095616945,0.005314705,0.0013508896,0.00097536534,0.0026981689,0.012382033],"study_design_scores_gemma":[0.0000068536156,0.0000095967935,0.9945044,0.000021108908,0.000053157804,0.000025971933,0.0008936354,0.0021263792,0.00012978254,0.000094919604,0.002120559,0.000013592074],"about_ca_topic_score_codex":0.9887411,"about_ca_topic_score_gemma":0.9946293,"teacher_disagreement_score":0.017435443,"about_ca_system_score_codex":0.017435443,"about_ca_system_score_gemma":0.017867915,"threshold_uncertainty_score":0.12650359},"labels":[],"label_agreement":null},{"id":"W3181818572","doi":"","title":"The role of Alberta in global food security through virtual water trade","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Virtual water; Food security; Water security; International trade; Business; Geography; Water scarcity; Water resources; Agriculture; Ecology; Biology","score_opus":0.02655729832077699,"score_gpt":0.21090359442727494,"score_spread":0.18434629610649794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3181818572","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31486878,0.0024008474,0.0046756812,0.022738643,0.0003238967,0.00004528455,0.0005052462,0.00013058921,0.654311],"genre_scores_gemma":[0.9721876,0.00075482856,0.0009461849,0.00058859703,0.000031177904,0.000007726683,0.0001077401,0.000023830247,0.025352392],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992235,0.00019273172,0.000014482228,0.00006804922,0.00021484894,0.00028633644],"domain_scores_gemma":[0.9988715,0.00024656422,0.000102878774,0.00009816246,0.00042440026,0.00025652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010874543,0.00021048391,0.00014009191,0.00090972136,0.0021514005,0.005681447,0.0006129488,0.0008617571,0.008652653],"category_scores_gemma":[0.0030765294,0.00013660933,0.0002337009,0.0013498057,0.0022931308,0.0029521822,0.0027088404,0.0010108858,0.0003048338],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060493185,0.00009815189,0.055605873,0.00013881372,0.00008869821,0.0007042355,0.0016557099,0.018717,0.0013541931,0.7475596,0.038679272,0.13479353],"study_design_scores_gemma":[0.00010032957,0.000223082,0.12201167,0.00061402377,0.00025489624,0.00035331878,0.015620625,0.041428257,0.0041367444,0.36728394,0.4478057,0.00016734703],"about_ca_topic_score_codex":0.6369462,"about_ca_topic_score_gemma":0.76901126,"teacher_disagreement_score":0.3630538,"about_ca_system_score_codex":0.01132542,"about_ca_system_score_gemma":0.013072422,"threshold_uncertainty_score":0.73038375},"labels":[],"label_agreement":null},{"id":"W3182428886","doi":"","title":"Sea ice reconstructions in the southwestern Labrador Sea based on a novel biomarker","year":2012,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sea ice; Geology; Oceanography; Biomarker; Physical geography; Geography; Biology","score_opus":0.03858036391088843,"score_gpt":0.24643504978444222,"score_spread":0.2078546858735538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3182428886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998268,0.00010335773,0.00034859855,0.00007035853,0.0000084508165,0.0000025362,0.00066157297,0.000026984237,0.00051004236],"genre_scores_gemma":[0.9963875,0.000091597016,0.0015656764,0.000029778688,0.0000094754005,0.0000046527407,0.0014546064,0.0000137400175,0.00044297017],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988997,0.000013500198,0.000009514441,0.000040300074,0.000015303563,0.000031379266],"domain_scores_gemma":[0.9997181,0.000029918605,0.00010419967,0.000023030578,0.000088559034,0.000036141664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005507806,0.0003824457,0.00033958154,0.0010780612,0.00044809876,0.0010592676,0.00041244057,0.0005136521,0.00056236406],"category_scores_gemma":[0.0005179706,0.00021520123,0.00029894867,0.0012672788,0.0002724529,0.0006201536,0.00052542303,0.00025866702,0.0002997795],"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":[0.0008323583,0.00011503148,0.91730344,0.00004886204,0.00024065375,0.00020840793,0.0003180599,0.0093719335,0.043107934,0.00041101195,0.0010438026,0.026998518],"study_design_scores_gemma":[0.000038738097,0.00006986689,0.96401614,0.000026278783,0.00016104494,0.000072479896,0.00054166047,0.025926674,0.0072305407,0.00017072988,0.0017144575,0.000031430474],"about_ca_topic_score_codex":0.038599435,"about_ca_topic_score_gemma":0.0874651,"teacher_disagreement_score":0.038599435,"about_ca_system_score_codex":0.00064242526,"about_ca_system_score_gemma":0.0008449245,"threshold_uncertainty_score":0.0767495},"labels":[],"label_agreement":null},{"id":"W3182497020","doi":"","title":"Risk analysis procedure for post-wildfire natural hazards in British Columbia","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Natural (archaeology); Natural hazard; Geography; Archaeology; Meteorology","score_opus":0.004248188423132374,"score_gpt":0.21605551993035366,"score_spread":0.21180733150722128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3182497020","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":[0.38881636,0.00027026134,0.5662613,0.00083456805,0.00006595699,0.0014532482,0.008746236,0.003949406,0.029602692],"genre_scores_gemma":[0.6325068,0.00015645138,0.32693097,0.000110086,0.0000238786,0.00074736995,0.0057603954,0.0004407333,0.033323366],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99936754,0.0001544786,0.000058035974,0.00009084205,0.00023334718,0.00009575635],"domain_scores_gemma":[0.9966455,0.0016208608,0.00015596482,0.00023751696,0.0012581361,0.00008187086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019680257,0.0003778102,0.00034838583,0.0020133224,0.0012926058,0.0012503528,0.000855248,0.0003292142,0.014832074],"category_scores_gemma":[0.008210703,0.0002807573,0.0006515526,0.0008585378,0.0002811599,0.0003944829,0.0006055445,0.0007025265,0.0010861943],"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":[0.001130151,0.00041528692,0.112331696,0.00020766098,0.00041727032,0.0007953615,0.0009742362,0.14453365,0.012335328,0.034185287,0.036742114,0.6559319],"study_design_scores_gemma":[0.00019715051,0.00017722955,0.091899686,0.00010091266,0.000296324,0.00055609195,0.001011453,0.8423099,0.0138703985,0.022928191,0.02653873,0.00011395591],"about_ca_topic_score_codex":0.38071558,"about_ca_topic_score_gemma":0.44489834,"teacher_disagreement_score":0.6192844,"about_ca_system_score_codex":0.0030089198,"about_ca_system_score_gemma":0.008299416,"threshold_uncertainty_score":0.75699914},"labels":[],"label_agreement":null},{"id":"W3182909933","doi":"","title":"Mg-lattice associations in red coralline algae","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Marine and coastal plant biology","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":"Dalhousie University","funders":"","keywords":"Calcite; Coralline algae; Algae; Thallus; Red algae; Ecology; Mineralogy; Geology; Biology; Botany","score_opus":0.030326498909832897,"score_gpt":0.2465935321420429,"score_spread":0.21626703323221003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3182909933","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975253,0.000582587,0.00022632754,0.00003443888,0.0000023668354,0.0000023708521,0.0002350238,0.000032024214,0.001359528],"genre_scores_gemma":[0.99683505,0.00036115607,0.0006346485,0.00002980309,0.0000038537532,0.000004507496,0.00030909717,0.000014262252,0.0018076738],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998722,0.000011908332,0.000010438985,0.000055437467,0.000027184924,0.000022794338],"domain_scores_gemma":[0.99979085,0.000018373126,0.00009973593,0.000019573112,0.000037376838,0.000034067976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013648278,0.00014177765,0.00014901898,0.0013265471,0.0005701725,0.0006803553,0.00018272533,0.00021943492,0.0011973002],"category_scores_gemma":[0.0003132271,0.00016851675,0.00015052549,0.00090425846,0.0003230704,0.00035031585,0.00074249937,0.00013881881,0.00031131966],"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":[0.00045143964,0.0000298642,0.6518378,0.00012813999,0.000075164564,0.0003670056,0.0013187396,0.0007077463,0.30851766,0.0005213351,0.00034362884,0.035701413],"study_design_scores_gemma":[0.0000051173615,0.00004286423,0.9920981,0.0000083869945,0.000014231509,0.0002482842,0.00031678175,0.0004352156,0.004437123,0.0001776749,0.0022096916,0.0000065311756],"about_ca_topic_score_codex":0.016847,"about_ca_topic_score_gemma":0.035193525,"teacher_disagreement_score":0.016847,"about_ca_system_score_codex":0.000698422,"about_ca_system_score_gemma":0.00022922154,"threshold_uncertainty_score":0.03349793},"labels":[],"label_agreement":null},{"id":"W3183058879","doi":"","title":"AVO Analysis to Gas Hydrates BSR in the Continental Shelf of Canadian Beaufort Sea","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Continental shelf; Oceanography; Geology; Beaufort sea; Beaufort scale; Clathrate hydrate; Continental margin; Arctic; Paleontology; Hydrate","score_opus":0.018067111018984124,"score_gpt":0.24075956382108996,"score_spread":0.22269245280210584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183058879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99027705,0.00041115514,0.0005739222,0.00010910096,0.000029364966,0.000022662354,0.0031828939,0.00006994944,0.0053238566],"genre_scores_gemma":[0.9939744,0.000291069,0.00079409603,0.00006818201,0.000010016549,0.000015724916,0.0016748244,0.000035888024,0.0031358262],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997874,0.0000087055205,0.000008652003,0.00005883525,0.00008370553,0.000052718],"domain_scores_gemma":[0.9997708,0.000017166285,0.00001866666,0.000007771565,0.00015696442,0.000028586626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002402497,0.00045564523,0.00033830293,0.0014724139,0.0016014903,0.00080364547,0.0006122295,0.00046314122,0.0014161201],"category_scores_gemma":[0.00043836827,0.00024887966,0.00049796596,0.0014841703,0.0003921982,0.00040702155,0.00046895954,0.00032412237,0.00022912801],"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":[0.00069715024,0.000080675294,0.79890996,0.00024628718,0.000352702,0.00074587093,0.0017850177,0.019726258,0.12423388,0.00082184566,0.0031594378,0.049241006],"study_design_scores_gemma":[0.00001358711,0.00002863642,0.98237634,0.000023459097,0.000046593428,0.000036239097,0.00079563365,0.0079666255,0.004484841,0.0000620158,0.0041408543,0.000025192383],"about_ca_topic_score_codex":0.9487315,"about_ca_topic_score_gemma":0.95280945,"teacher_disagreement_score":0.051268518,"about_ca_system_score_codex":0.0044505172,"about_ca_system_score_gemma":0.0037076492,"threshold_uncertainty_score":0.10314083},"labels":[],"label_agreement":null},{"id":"W3183544675","doi":"","title":"Assessing the ecohydrological role of cryptic, forested wetlands in the Boreal Plain (Canada): Local-scale effects with a potential regional impact","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wetland; Boreal; Scale (ratio); Taiga; Environmental science; Hydrology (agriculture); Physical geography; Ecology; Geography; Geology; Forestry; Archaeology; Cartography","score_opus":0.009618628808100766,"score_gpt":0.24513023234172815,"score_spread":0.23551160353362738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183544675","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985442,0.00013837534,0.00011515421,0.00011994293,0.0000025405795,0.00001936667,0.0003171593,0.0000064543897,0.0007368351],"genre_scores_gemma":[0.9988618,0.0001278869,0.00036587066,0.000025886899,0.0000019792628,0.000006472595,0.00022037422,0.000003400814,0.00038636898],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99945873,0.00010726634,0.000017697233,0.0001013613,0.00015689357,0.00015802505],"domain_scores_gemma":[0.99873453,0.0002356723,0.00012437039,0.000045831825,0.0005305222,0.00032900184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009821688,0.00037368626,0.000284668,0.0006176714,0.001197323,0.0014422698,0.0008464435,0.00037402127,0.0007130159],"category_scores_gemma":[0.0021358859,0.00017844324,0.00041764966,0.0012812256,0.0012801485,0.0005003044,0.0007583021,0.00043467566,0.0000638566],"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":[0.00046472883,0.00018143312,0.9721165,0.000073588584,0.00020740279,0.00014761018,0.0008349879,0.0054056114,0.0044959136,0.00030264602,0.0005523891,0.015217245],"study_design_scores_gemma":[0.0000074332675,0.000029453782,0.9965229,0.00000723192,0.00004340162,0.000011805769,0.001136969,0.0016240334,0.00028254188,0.000050646435,0.00027694943,0.000006747721],"about_ca_topic_score_codex":0.98749757,"about_ca_topic_score_gemma":0.99600935,"teacher_disagreement_score":0.017817069,"about_ca_system_score_codex":0.017817069,"about_ca_system_score_gemma":0.018130925,"threshold_uncertainty_score":0.12927246},"labels":[],"label_agreement":null},{"id":"W3184137652","doi":"","title":"Holocene chronostratigraphy and evolution of sedimentary processes on the deglaciated margins of Quebec and Labrador, Canada.","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Chronostratigraphy; Geology; Holocene; Physical geography; Sedimentary rock; Paleontology; Geomorphology; Geography","score_opus":0.011406856014514589,"score_gpt":0.20222945844647078,"score_spread":0.1908226024319562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184137652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9492915,0.004187735,0.0003683815,0.00085687183,0.000044699893,0.000037067766,0.032779142,0.000072553914,0.012362057],"genre_scores_gemma":[0.98724556,0.00075679715,0.00029588945,0.00006146976,0.000005388817,0.0000131391525,0.0041832514,0.000019897225,0.0074185436],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998534,0.000010337166,0.000008159252,0.00003684131,0.00002868616,0.00006262712],"domain_scores_gemma":[0.9990528,0.000052104628,0.00012186823,0.000027895183,0.0005967844,0.00014856881],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023946598,0.00020864463,0.00017747554,0.0016257663,0.0015286396,0.0009128615,0.0007829249,0.00032621273,0.0077466983],"category_scores_gemma":[0.0008762664,0.00019049231,0.00020549203,0.0034259602,0.0005227966,0.00032014473,0.00041533835,0.0004192806,0.0005751487],"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":[0.00029464747,0.00003765338,0.92165995,0.00014207269,0.0001529808,0.0001703772,0.0032051892,0.0016074047,0.0017163457,0.0016177616,0.019195525,0.05020006],"study_design_scores_gemma":[0.0000025458212,0.0000029402659,0.9950034,0.000025101133,0.000008268489,0.000014706252,0.0004172068,0.00018755552,0.00005657092,0.000014023653,0.0042637596,0.000003928444],"about_ca_topic_score_codex":0.998268,"about_ca_topic_score_gemma":0.9994529,"teacher_disagreement_score":0.024048455,"about_ca_system_score_codex":0.024048455,"about_ca_system_score_gemma":0.01408653,"threshold_uncertainty_score":0.17448455},"labels":[],"label_agreement":null},{"id":"W3184230577","doi":"","title":"Absolute geostrophic transports at 47°N in the Newfoundland Basin","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geostrophic wind; Absolute (philosophy); Oceanography; Geology; Geography; Climatology; Environmental science; Philosophy","score_opus":0.020453851118076575,"score_gpt":0.23474890704719267,"score_spread":0.2142950559291161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184230577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99491644,0.00011653456,0.000105203726,0.00012923012,0.000008486527,0.0000027257129,0.0021086806,0.000029117973,0.0025835405],"genre_scores_gemma":[0.9977405,0.00007894191,0.00013762646,0.000033260814,0.000003269144,0.0000037130235,0.000987851,0.000010007397,0.0010047619],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99980086,0.00001254303,0.000013467363,0.000054692468,0.000034712404,0.000083762476],"domain_scores_gemma":[0.9996107,0.000042080213,0.000076109616,0.000031225496,0.00017740746,0.00006237276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024628075,0.00020804052,0.0002803152,0.0009840806,0.0013297227,0.0011400149,0.00048626977,0.00044418726,0.002200735],"category_scores_gemma":[0.00069534377,0.0002851667,0.00024699655,0.0013782674,0.00058488845,0.0008199868,0.00083050434,0.00052360725,0.00026602324],"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":[0.0004075549,0.000107937965,0.95273566,0.00008267837,0.00017409884,0.00039092597,0.0020279398,0.014245299,0.005603071,0.0010111502,0.0047576255,0.018455926],"study_design_scores_gemma":[0.0000055561404,0.000008191256,0.99654335,0.000015065896,0.000012769516,0.000015951304,0.00050908345,0.0012291485,0.0002629195,0.00002682991,0.001360485,0.000010796529],"about_ca_topic_score_codex":0.9290305,"about_ca_topic_score_gemma":0.9727927,"teacher_disagreement_score":0.07096952,"about_ca_system_score_codex":0.007132098,"about_ca_system_score_gemma":0.0042090095,"threshold_uncertainty_score":0.14277488},"labels":[],"label_agreement":null},{"id":"W3184488780","doi":"","title":"Methane production and oxidation patterns along a hydrological gradient in Luther Bog, Ontario","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bog; Production (economics); Environmental science; Hydrology (agriculture); Anaerobic oxidation of methane; Methane; Peat; Geology; Geography; Chemistry; Archaeology","score_opus":0.015850170261913932,"score_gpt":0.21262086984536263,"score_spread":0.1967706995834487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184488780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99673367,0.000097219854,0.000052066385,0.00009327518,0.0000029502903,0.000010610562,0.0012180004,0.0000064818955,0.0017857951],"genre_scores_gemma":[0.9961696,0.00013981505,0.00012470884,0.00003231132,0.0000021733847,0.000013134415,0.00065145915,0.000004818334,0.0028619068],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998821,0.000010207173,0.000006143464,0.000021840666,0.000025017676,0.000054567387],"domain_scores_gemma":[0.99975127,0.000020477466,0.00004993626,0.00000845412,0.00008957002,0.00008021604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001049352,0.00011981259,0.00017502348,0.00059135427,0.0016418323,0.0006865243,0.00039445263,0.00024300381,0.0016758156],"category_scores_gemma":[0.00034526965,0.0002145299,0.00022844807,0.0010928842,0.00055628904,0.00021835612,0.0006822389,0.00018955523,0.00020505753],"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":[0.00039588517,0.000056892295,0.96978855,0.000078283556,0.00007275789,0.00029667656,0.010714149,0.00054235366,0.0073985253,0.00032855044,0.0018415174,0.008485926],"study_design_scores_gemma":[0.0000028171396,0.0000051434995,0.9974004,0.000006443038,0.000005138141,0.000011514825,0.0015272773,0.00008732645,0.00007317079,0.000011546803,0.00086630025,0.0000029441774],"about_ca_topic_score_codex":0.98361266,"about_ca_topic_score_gemma":0.9969613,"teacher_disagreement_score":0.016387343,"about_ca_system_score_codex":0.008512735,"about_ca_system_score_gemma":0.007666132,"threshold_uncertainty_score":0.06176448},"labels":[],"label_agreement":null},{"id":"W3185652873","doi":"","title":"In situ measurement of tundra snowpack chemistry during a boundary layer 'bromine explosion' event at Eureka, Canada","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Snowpack; Tundra; In situ; Event (particle physics); Snow; Boundary layer; Environmental science; Meteorology; Atmospheric sciences; Layer (electronics); Climatology; Arctic; Chemistry; Geology; Oceanography; Geography; Physics; Astrophysics; Thermodynamics","score_opus":0.027063670088853232,"score_gpt":0.21379728915962834,"score_spread":0.1867336190707751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185652873","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969694,0.00005885732,0.0001162897,0.00003994326,0.000006333143,0.000013948397,0.00079577626,0.000014889638,0.0019846803],"genre_scores_gemma":[0.99748504,0.00008406676,0.00024679748,0.000035589524,0.000003533842,0.000010411759,0.0007233844,0.000011138337,0.0013998774],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99987745,0.0000038575895,0.0000033243846,0.000028735178,0.000042456824,0.000044227883],"domain_scores_gemma":[0.99983287,0.0000142488025,0.00001303209,0.000004827938,0.00009672558,0.000038260725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015313295,0.00031318053,0.0003339088,0.0004382513,0.001854546,0.000927784,0.0006640887,0.0005593051,0.0008209797],"category_scores_gemma":[0.0002627158,0.00025007108,0.00026599254,0.0005797338,0.00043080343,0.00041835778,0.00049814425,0.0005005174,0.00020456522],"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":[0.0035838645,0.0005074728,0.6651747,0.00017172584,0.000439006,0.0012347209,0.0047039245,0.004693949,0.29199275,0.00035464915,0.0032733078,0.023869928],"study_design_scores_gemma":[0.000031846415,0.000041333875,0.9921584,0.0000069278963,0.000027486938,0.00002992727,0.0004398462,0.00149065,0.0047207107,0.00001579707,0.0010252094,0.000011862689],"about_ca_topic_score_codex":0.8915403,"about_ca_topic_score_gemma":0.92888457,"teacher_disagreement_score":0.10845971,"about_ca_system_score_codex":0.004474912,"about_ca_system_score_gemma":0.0033541594,"threshold_uncertainty_score":0.21819687},"labels":[],"label_agreement":null},{"id":"W3186224612","doi":"","title":"An evaluation of the hydrological functioning of a constructed wetland in the Athabasca oil sands region, Canada - six years after commission","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Oil sands; Wetland; Environmental science; Hydrology (agriculture); Commission; Geography; Environmental protection; Water resource management; Geology; Archaeology; Asphalt; Geotechnical engineering; Ecology; Political science","score_opus":0.01653624299445622,"score_gpt":0.2324318322113458,"score_spread":0.2158955892168896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186224612","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997712,0.0000788102,0.000055431025,0.00013855436,0.0000047818517,0.00002580948,0.00075043924,0.000005798359,0.0012284061],"genre_scores_gemma":[0.9979633,0.00007615583,0.0001275802,0.000034630968,0.000002251352,0.000010709618,0.0006592929,0.0000019262145,0.0011242883],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99953043,0.00005805623,0.000021033253,0.00004427663,0.00017273464,0.00017343865],"domain_scores_gemma":[0.99824905,0.000097222546,0.00013416748,0.000041448042,0.0011143087,0.00036383065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007431974,0.00028526952,0.00026405122,0.00082632457,0.0022604235,0.0011549828,0.0009498476,0.00040232105,0.0006038864],"category_scores_gemma":[0.0014494191,0.00011779086,0.0003331927,0.0016450767,0.0008567362,0.00046651333,0.0006710002,0.000505034,0.000080343954],"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":[0.0009950867,0.0006184924,0.95844305,0.00012009845,0.00016095595,0.0010371899,0.004034006,0.0031308823,0.0033738993,0.0006011833,0.001996381,0.025488649],"study_design_scores_gemma":[0.000009147869,0.000087034256,0.994048,0.00000915712,0.000020539213,0.000035328383,0.0031232915,0.001024612,0.0003454751,0.000032487485,0.001253325,0.000011576172],"about_ca_topic_score_codex":0.98690844,"about_ca_topic_score_gemma":0.99549013,"teacher_disagreement_score":0.02995977,"about_ca_system_score_codex":0.02995977,"about_ca_system_score_gemma":0.023170672,"threshold_uncertainty_score":0.21737432},"labels":[],"label_agreement":null},{"id":"W3190482131","doi":"","title":"Interannual variability and long-term trends of coastal currents off Atlantic Canada from satellite altimetry","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Satellite altimetry; Term (time); Altimeter; Climatology; Satellite; Oceanography; Satellite tracking; Environmental science; Geography; Remote sensing; Geology","score_opus":0.009030930096081018,"score_gpt":0.21102693647342466,"score_spread":0.20199600637734363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3190482131","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99203426,0.00041861978,0.0001471353,0.00013090506,0.00002011223,0.000008597576,0.0054972637,0.000023539786,0.001719489],"genre_scores_gemma":[0.99087006,0.0003512252,0.0002508387,0.0000348403,0.000009155971,0.000005459413,0.0068310676,0.000010364771,0.0016369192],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997392,0.00001104503,0.000021690223,0.000052799034,0.00010591147,0.00006923193],"domain_scores_gemma":[0.9985959,0.00009561172,0.0001740584,0.000052669893,0.0009401502,0.00014154369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048258237,0.0002565156,0.00022944021,0.0012004606,0.00083299854,0.0011836902,0.00044602042,0.00028670917,0.0010475552],"category_scores_gemma":[0.0014557026,0.00019099355,0.00033055493,0.003393781,0.0003458684,0.00041348796,0.0005191522,0.00038082112,0.00022438812],"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":[0.00010572407,0.000026064286,0.9843993,0.000040132392,0.00015885253,0.000061103376,0.0004337983,0.0015036535,0.0014491695,0.00010150683,0.0017211972,0.009999412],"study_design_scores_gemma":[0.0000028146926,0.000002909388,0.9985299,0.000007656938,0.000019563364,0.000008701249,0.00011577327,0.0005518045,0.00007095968,0.000008492174,0.00067699736,0.0000044627695],"about_ca_topic_score_codex":0.97648865,"about_ca_topic_score_gemma":0.9901952,"teacher_disagreement_score":0.02351135,"about_ca_system_score_codex":0.0077754767,"about_ca_system_score_gemma":0.008130878,"threshold_uncertainty_score":0.05641526},"labels":[],"label_agreement":null},{"id":"W3190644157","doi":"","title":"Investigation of potential upward fluid migration pathways in two study areas hosting unconventional hydrocarbon reservoirs in Eastern Canada","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Petroleum engineering; Hydrocarbon; Chemistry","score_opus":0.030066653587467854,"score_gpt":0.24530436726225682,"score_spread":0.21523771367478897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3190644157","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99863416,0.000022392373,0.00010077648,0.00002353,9.129028e-7,0.00002112112,0.00010583618,0.00000263506,0.0010885501],"genre_scores_gemma":[0.998302,0.000058879865,0.00040984937,0.000012303767,4.822516e-7,0.000011873247,0.00009823569,0.0000015235629,0.0011049166],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997553,0.000018268185,0.000008331939,0.000032560783,0.000059196598,0.00012629559],"domain_scores_gemma":[0.99955446,0.000053853866,0.00006410179,0.000010136517,0.00022460285,0.00009283565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001688304,0.00028132668,0.00019274653,0.0011239594,0.0033688613,0.0014710873,0.0007245944,0.00040226313,0.0007098293],"category_scores_gemma":[0.00068858935,0.0002481759,0.00022920755,0.0021452806,0.000878573,0.00043609677,0.0011089187,0.00036532173,0.00007360903],"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":[0.00020346542,0.00011810788,0.96138334,0.00006420006,0.000038356233,0.0011516574,0.013165638,0.0021671727,0.0070368196,0.0008951638,0.00034206558,0.013433984],"study_design_scores_gemma":[0.0000091869,0.000056399516,0.9545076,0.000037415924,0.000030036914,0.00015971108,0.036639225,0.004991836,0.0015597077,0.000101964964,0.0018865123,0.000020394316],"about_ca_topic_score_codex":0.9782914,"about_ca_topic_score_gemma":0.99406815,"teacher_disagreement_score":0.021708608,"about_ca_system_score_codex":0.010761771,"about_ca_system_score_gemma":0.017399836,"threshold_uncertainty_score":0.07808244},"labels":[],"label_agreement":null},{"id":"W3192435455","doi":"","title":"Effects of glacial topography and sedimentology on palaeohydrology, Kananaskis, Canadian Rockies: A numerical modelling exercise","year":2018,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Glacial period; Sedimentology; Geomorphology; Physical geography; Geography","score_opus":0.015249397089601262,"score_gpt":0.23397390229105497,"score_spread":0.2187245052014537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3192435455","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98927796,0.00013354428,0.00077576505,0.0003382331,0.000010317942,0.000034564684,0.0019088386,0.000088918874,0.007431888],"genre_scores_gemma":[0.99374986,0.00021460693,0.0015969,0.00006155069,0.0000053280046,0.000032317632,0.00090260187,0.0000380397,0.0033988166],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996475,0.000078038145,0.000019427305,0.00008211597,0.000065418884,0.000107554595],"domain_scores_gemma":[0.9984622,0.0008496722,0.00010641534,0.000073867835,0.00038622308,0.00012163472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000893779,0.00068593735,0.0007464582,0.0006186883,0.0023843027,0.0019039124,0.0029527477,0.0015139146,0.00347677],"category_scores_gemma":[0.0036007331,0.00094675715,0.0013513865,0.001287555,0.0010873331,0.0009118857,0.00069893576,0.0013106663,0.00028833144],"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":[0.00026907655,0.00018071906,0.03421162,0.00007816003,0.00016086535,0.0001498778,0.00032989052,0.9560017,0.0009952192,0.0019441948,0.0017786603,0.003899954],"study_design_scores_gemma":[0.00024237916,0.00012062153,0.06431613,0.00004081428,0.00022010002,0.000047060174,0.00074559986,0.93030703,0.0009354174,0.0004736926,0.0024526443,0.00009857337],"about_ca_topic_score_codex":0.99313194,"about_ca_topic_score_gemma":0.9909136,"teacher_disagreement_score":0.018794857,"about_ca_system_score_codex":0.018794857,"about_ca_system_score_gemma":0.024348224,"threshold_uncertainty_score":0.13636684},"labels":[],"label_agreement":null},{"id":"W3192789429","doi":"","title":"Update on the APM Site Selection Process - Canada's Plan for the Long-Term Management of Used Nuclear Fuel","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Nuclear and radioactivity studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Term (time); Plan (archaeology); Site selection; Process (computing); Selection (genetic algorithm); Business; Operations management; Process management; Operations research; Risk analysis (engineering); Computer science; Engineering; Political science; Geography; Artificial intelligence; Law","score_opus":0.017845276939093508,"score_gpt":0.2251914367951058,"score_spread":0.2073461598560123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3192789429","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016176663,0.03395691,0.015133689,0.33059838,0.071031936,0.0031810948,0.12316552,0.0069953725,0.3997605],"genre_scores_gemma":[0.048057877,0.029396206,0.059627797,0.12998292,0.008179868,0.0014305586,0.067878485,0.0014399155,0.6540064],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9945846,0.00025734358,0.0003875807,0.0001614693,0.003968989,0.0006399477],"domain_scores_gemma":[0.9606808,0.0018720987,0.0008343645,0.0005869869,0.032903627,0.0031219786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007852631,0.00094285986,0.00081329566,0.00496047,0.0030039302,0.0051760115,0.004914485,0.00709531,0.022955136],"category_scores_gemma":[0.016814664,0.0008103564,0.0012302768,0.00442314,0.001006506,0.0017358721,0.0016651002,0.0055136676,0.011666897],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026421918,0.00005037359,0.0012530144,0.000112067144,0.00000842558,0.00007223354,0.00009369894,0.00029423388,0.00018829673,0.00076701667,0.96378064,0.033353586],"study_design_scores_gemma":[0.000018472827,0.000021572467,0.011086848,0.00031974865,0.000019718098,0.000060940485,0.00016752123,0.00016175325,0.00020370685,0.00025033823,0.9876565,0.000032768436],"about_ca_topic_score_codex":0.9153728,"about_ca_topic_score_gemma":0.968933,"teacher_disagreement_score":0.08462721,"about_ca_system_score_codex":0.02212277,"about_ca_system_score_gemma":0.108808376,"threshold_uncertainty_score":0.17025113},"labels":[],"label_agreement":null},{"id":"W3201911887","doi":"","title":"A 'Boscastle-type' quasi-stationary convective system over the UK Southwest Peninsula","year":2013,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Meteorological Phenomena and Simulations","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":"McGill University","funders":"","keywords":"Peninsula; Precipitation; Convection; Flash flood; Climatology; Storm; Submarine pipeline; Geology; Subsidence; Flooding (psychology); Meteorology; Environmental science; Oceanography; Geography; Flood myth","score_opus":0.034888550042187175,"score_gpt":0.2427544892600349,"score_spread":0.20786593921784774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201911887","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986066,0.000028375236,0.00020692099,0.000040423143,0.0000036663228,0.0000087067065,0.00013823506,0.000013661174,0.0009533782],"genre_scores_gemma":[0.9995691,0.00001792884,0.00013028906,0.000006042244,9.447775e-7,0.0000023302057,0.00008853325,0.0000014776996,0.00018334687],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999192,0.000014043537,0.0000063847133,0.000017898212,0.00001475646,0.000027622067],"domain_scores_gemma":[0.99988806,0.000014989373,0.00002673501,0.000015443611,0.000024110353,0.00003077333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000090698544,0.00014615424,0.00018960258,0.00021172926,0.00034262973,0.00058487366,0.00036209542,0.0003510746,0.0010008991],"category_scores_gemma":[0.00029624955,0.00015154078,0.00020693503,0.00028695283,0.000365972,0.00025581,0.0002809225,0.0002434707,0.0001423352],"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":[0.0008519608,0.00027646997,0.54945415,0.00015728203,0.0002096704,0.0039110365,0.0010324945,0.3790971,0.041014656,0.0030280645,0.003214857,0.01775219],"study_design_scores_gemma":[0.00011451826,0.00024048302,0.6632052,0.000019118035,0.000042354226,0.00031425332,0.00073255866,0.32989517,0.0028177372,0.00026416578,0.0023126078,0.00004178731],"about_ca_topic_score_codex":0.16462569,"about_ca_topic_score_gemma":0.14288956,"teacher_disagreement_score":0.16462569,"about_ca_system_score_codex":0.0012259925,"about_ca_system_score_gemma":0.0005885852,"threshold_uncertainty_score":0.32733494},"labels":[],"label_agreement":null},{"id":"W321472513","doi":"","title":"Impact of long-term drainage on hydrogeological and biogeochemical processes near a drainage ditch in a Canadian peatland","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ditch; Drainage; Peat; Biogeochemical cycle; Environmental science; Term (time); Hydrology (agriculture); Hydrogeology; Ecohydrology; Geology; Ecosystem; Geography; Ecology; Archaeology","score_opus":0.013255666229505882,"score_gpt":0.2633733899085514,"score_spread":0.25011772367904556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W321472513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992254,0.000036467427,0.00002428145,0.000073185925,0.0000031669024,0.000004532815,0.00011034139,0.0000034439436,0.00051905535],"genre_scores_gemma":[0.99953985,0.00003311198,0.000051795087,0.000019216674,0.000001413254,0.0000033289973,0.00008559861,0.0000013284867,0.00026441817],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996648,0.000021514983,0.000013226685,0.00005680424,0.0000772109,0.00016649456],"domain_scores_gemma":[0.99922144,0.00008665734,0.0000930661,0.000021509624,0.00030505043,0.0002722651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026540912,0.00020860166,0.00040630886,0.00087461516,0.0038092267,0.0014545656,0.0008862747,0.0006078656,0.00095517165],"category_scores_gemma":[0.00087375974,0.00022012835,0.00035248263,0.0011981342,0.0025294037,0.00040994168,0.0011510842,0.0005902579,0.000073023],"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":[0.00034517035,0.00025691363,0.9717153,0.000047823534,0.00010828238,0.0010187473,0.0027776337,0.0020683466,0.009376307,0.00036684386,0.0007310605,0.011187615],"study_design_scores_gemma":[0.0000052371283,0.000019066109,0.9967879,0.0000074093305,0.00001645124,0.00003971623,0.0019493713,0.00057930936,0.0001433779,0.00003165337,0.00040909005,0.000011442748],"about_ca_topic_score_codex":0.9736396,"about_ca_topic_score_gemma":0.9942245,"teacher_disagreement_score":0.026360393,"about_ca_system_score_codex":0.02342013,"about_ca_system_score_gemma":0.018712895,"threshold_uncertainty_score":0.16992575},"labels":[],"label_agreement":null},{"id":"W3217002220","doi":"","title":"Bromine activation in the high Arctic: four-year time series of BrO profiles from Eureka, Canada","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bromine; Series (stratigraphy); Arctic; Environmental science; The arctic; Meteorology; Chemistry; Geography; Oceanography; Geology","score_opus":0.016669356491230865,"score_gpt":0.21652035084642426,"score_spread":0.1998509943551934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217002220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98781747,0.0009937674,0.00015831046,0.00015750597,0.000020319236,0.000013719815,0.008547668,0.00001778087,0.0022734012],"genre_scores_gemma":[0.98951787,0.00072448567,0.00033358534,0.00007100606,0.00000975286,0.000010706275,0.0067907907,0.000017463459,0.0025242472],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997664,0.000012375163,0.000013712723,0.00004824416,0.00007347137,0.00008589083],"domain_scores_gemma":[0.9993393,0.00002821759,0.00007551627,0.000018037103,0.00045015078,0.00008867022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043815712,0.00041696604,0.0004030062,0.0015095538,0.0010381078,0.0011417043,0.00051122456,0.0005521654,0.00065211696],"category_scores_gemma":[0.000423008,0.00021508145,0.00048340007,0.0024491013,0.00028176612,0.00037479866,0.0006366807,0.00030090366,0.00019899823],"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":[0.000520123,0.00004974713,0.9746001,0.00014241331,0.0004917119,0.0004286013,0.0013093536,0.0014938151,0.007920279,0.00019197389,0.0027987154,0.01005314],"study_design_scores_gemma":[0.0000022994034,0.0000046835457,0.9977164,0.0000125657025,0.000023206458,0.000022840793,0.00034980974,0.00020011525,0.00017818913,0.0000053628332,0.0014782073,0.000006364242],"about_ca_topic_score_codex":0.96499544,"about_ca_topic_score_gemma":0.9797146,"teacher_disagreement_score":0.035004556,"about_ca_system_score_codex":0.005512491,"about_ca_system_score_gemma":0.0063227145,"threshold_uncertainty_score":0.07042134},"labels":[],"label_agreement":null},{"id":"W333141781","doi":"","title":"Regional differences in bone collagen carbon- and nitrogen-isotope ratios of Pleistocene mammoths: Implications for paleoecology of the mammoth steppe","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Pleistocene-Era Hominins and Archaeology","field":"Social 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":"Beringia; Pleistocene; Mammoth; Steppe; Geology; Radiocarbon dating; Last Glacial Maximum; Isotopes of nitrogen; Quaternary; Palynology; Arid; Glacial period; Ecology; Physical geography; Archaeology; Paleontology; Geography; Stable isotope ratio; Biology","score_opus":0.03656376556030476,"score_gpt":0.2917306519380983,"score_spread":0.2551668863777935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W333141781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997224,0.00005963753,0.000032791304,0.0000037289667,5.819999e-7,5.57264e-7,0.000046127487,8.463754e-7,0.0001334089],"genre_scores_gemma":[0.99962974,0.000055971446,0.00009504997,0.000007725802,0.0000013521634,0.0000016240574,0.00011943502,0.0000010210625,0.00008804083],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999956,0.000007434865,0.0000038242583,0.00001733389,0.0000071248473,0.000008288355],"domain_scores_gemma":[0.9998971,0.00001656885,0.00003540954,0.000009303649,0.000021270263,0.00002034023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000120652294,0.0001700249,0.0001693783,0.0006012752,0.00029082914,0.00023091123,0.000114409595,0.00012857557,0.0007623056],"category_scores_gemma":[0.0002449443,0.00010860893,0.000107849344,0.0003932849,0.00023308008,0.00019230522,0.00022158449,0.00011298889,0.00010110351],"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":[0.000100554214,0.000011779136,0.9690581,0.000017656104,0.00006031236,0.00010613918,0.0005555289,0.000046932673,0.026305294,0.000020143032,0.000025667097,0.0036918628],"study_design_scores_gemma":[3.7670435e-7,0.000006722501,0.9996722,7.1870096e-7,0.000003150331,0.00004602183,0.00010002795,0.000021924618,0.00011218946,0.000004876356,0.000031511587,3.98359e-7],"about_ca_topic_score_codex":0.008294853,"about_ca_topic_score_gemma":0.03171388,"teacher_disagreement_score":0.008294853,"about_ca_system_score_codex":0.00013654605,"about_ca_system_score_gemma":0.00011646901,"threshold_uncertainty_score":0.016493142},"labels":[],"label_agreement":null},{"id":"W340789747","doi":"","title":"Dynamical Models of Depth-Dependent Lithospheric Extension at Rifted Continental Margins: Effects of Strong and Weak Lower Crust","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological and Geophysical Studies Worldwide","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":"Geology; Lithosphere; Rift; Volcano; Passive margin; Crust; Mantle (geology); Continental margin; Continental crust; Rift zone; Oceanic crust; Thermal subsidence; Subsidence; Petrology; Paleontology; Tectonics; Structural basin; Subduction","score_opus":0.013363240532061525,"score_gpt":0.21064989592883987,"score_spread":0.19728665539677834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W340789747","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9864167,0.0003247449,0.008596838,0.0006951796,0.000030503192,0.000016349153,0.00050300686,0.00008586956,0.0033308535],"genre_scores_gemma":[0.99796426,0.0001426735,0.00040015852,0.000021180189,0.000017391172,0.000013210685,0.00013756978,0.000018590206,0.0012849197],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999913,0.00003064462,0.000004252874,0.000019485577,0.0000055545543,0.000027001983],"domain_scores_gemma":[0.99936074,0.00022327102,0.00015865963,0.000028991111,0.00006381388,0.00016446495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006715965,0.0006599863,0.00065756217,0.00045278887,0.0005268453,0.0013610169,0.0011680039,0.0013185298,0.0017069563],"category_scores_gemma":[0.0016729669,0.00066995196,0.0008189697,0.000339804,0.00087210076,0.001036967,0.00072643807,0.0006684494,0.0002848917],"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":[0.00012712055,0.00003568744,0.015777169,0.000024725037,0.00008135025,0.00012811842,0.000096034,0.97391754,0.0014471663,0.0065664393,0.0004930295,0.0013056508],"study_design_scores_gemma":[0.00002736199,0.00002164206,0.0032874965,0.000003955387,0.000018137263,0.000010213922,0.000024312734,0.9946543,0.00006296466,0.0017468106,0.00013470843,0.000008018116],"about_ca_topic_score_codex":0.031735662,"about_ca_topic_score_gemma":0.02011242,"teacher_disagreement_score":0.031735662,"about_ca_system_score_codex":0.001208674,"about_ca_system_score_gemma":0.00057392503,"threshold_uncertainty_score":0.06310189},"labels":[],"label_agreement":null},{"id":"W345668938","doi":"","title":"Glacial isostatic adjustment in Fennoscandia and the inference of the 3D mantle structure in Northern Europe from GRACE data","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological Formations and Processes Exploration","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Post-glacial rebound; Geology; Glacial period; Mantle (geology); Geodesy; Physical geography; Paleontology; Geography","score_opus":0.022575071044995215,"score_gpt":0.23529504956508693,"score_spread":0.21271997852009172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W345668938","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937313,0.00041919274,0.00040130652,0.00013704272,0.000016964457,0.000004208482,0.003674252,0.00004488342,0.0015708557],"genre_scores_gemma":[0.99310607,0.00019146597,0.00083598396,0.00003467108,0.0000063214898,0.0000082739125,0.0053655854,0.000023743201,0.00042784645],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997291,0.000043617187,0.000026383783,0.00010477838,0.00003839755,0.00005782004],"domain_scores_gemma":[0.99948007,0.00009634094,0.00007492093,0.000099714154,0.00017525515,0.00007366133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011790914,0.0003336631,0.00039771953,0.0016796908,0.0005275438,0.001095918,0.00063002814,0.00053156994,0.0009405239],"category_scores_gemma":[0.0022530367,0.00022802394,0.0004596009,0.0029255047,0.00045349254,0.00046156844,0.0008047401,0.00030148315,0.00017785619],"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":[0.0009652655,0.00005767072,0.87483495,0.0001081718,0.0006211153,0.00036014634,0.0009424521,0.05883404,0.0038980937,0.0023759608,0.0036153728,0.0533868],"study_design_scores_gemma":[0.00003378362,0.0000091099155,0.9862309,0.000046071604,0.00007462308,0.00003325275,0.00024416286,0.008689473,0.00044217965,0.00038824682,0.0037809927,0.000027228532],"about_ca_topic_score_codex":0.522378,"about_ca_topic_score_gemma":0.6230496,"teacher_disagreement_score":0.522378,"about_ca_system_score_codex":0.0015591943,"about_ca_system_score_gemma":0.0021213656,"threshold_uncertainty_score":0.96086955},"labels":[],"label_agreement":null},{"id":"W347006385","doi":"","title":"Verification of ESP forecast skills for pre- and post-ESP re-sampling schemes: Application to the South Saskatchewan River Basin","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Hydrology and Watershed Management Studies","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":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Streamflow; Forecast skill; Precipitation; Sampling (signal processing); Statistics; Climatology; Scale (ratio); Environmental science; Drainage basin; Quantitative precipitation forecast; Hydrological modelling; Mean squared error; Meteorology; Hydrology (agriculture); Mathematics; Computer science; Geography; Geology; Cartography","score_opus":0.016924477651499074,"score_gpt":0.26317292822119825,"score_spread":0.24624845056969918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W347006385","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885025,0.000027918148,0.0102087185,0.000062131214,0.000010367989,0.00003879712,0.00020149547,0.00021165052,0.00073631865],"genre_scores_gemma":[0.99073225,0.000015547528,0.00856391,0.000015911613,0.0000025390011,0.000014965436,0.0003744702,0.00000939517,0.00027102898],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999318,0.0002319901,0.00007051048,0.00013098207,0.00017130365,0.00007722733],"domain_scores_gemma":[0.9944443,0.002693374,0.00021197314,0.0006160674,0.0019070416,0.00012723719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004273458,0.0003397386,0.000329266,0.00034541322,0.0003804606,0.00051573716,0.0007220457,0.00041283134,0.00059621996],"category_scores_gemma":[0.011780246,0.00019654645,0.0002096423,0.0003784194,0.0002884623,0.0007858355,0.00049811695,0.00047264286,0.00012765093],"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":[0.0011417194,0.00033605337,0.18597828,0.00006850802,0.00018029797,0.00025236537,0.0006058767,0.6095091,0.010063827,0.0007770239,0.0011834546,0.18990357],"study_design_scores_gemma":[0.000067695146,0.00015653444,0.053003166,0.000009884284,0.000020187797,0.000027977507,0.00024650316,0.9382816,0.0074384883,0.00025900383,0.00046492595,0.000024126262],"about_ca_topic_score_codex":0.1755256,"about_ca_topic_score_gemma":0.17860936,"teacher_disagreement_score":0.1755256,"about_ca_system_score_codex":0.0014466784,"about_ca_system_score_gemma":0.0019438539,"threshold_uncertainty_score":0.34900784},"labels":[],"label_agreement":null},{"id":"W347254232","doi":"","title":"Permanently installed 2D electrical resistivity array for monitoring permafrost beneath pavement, Dawson City, Yukon, Canada.","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Climate change and permafrost","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":"Permafrost; Geology; Floodplain; Alluvium; Hydrology (agriculture); Physical geography; Silt; Fluvial; Global warming; Climate change; Geomorphology; Geotechnical engineering; Geography; Oceanography","score_opus":0.04506263221113325,"score_gpt":0.2650611980143587,"score_spread":0.21999856580322544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W347254232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87395483,0.001487307,0.021042643,0.00085887185,0.00017428782,0.0005389873,0.051836822,0.002755812,0.047350384],"genre_scores_gemma":[0.9360204,0.00047208578,0.021578852,0.0001671492,0.0000129215805,0.00020595125,0.013187237,0.00008619453,0.028269252],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975604,0.000014008797,0.0000065617787,0.000055971796,0.00012413859,0.000043274173],"domain_scores_gemma":[0.99954516,0.000015333226,0.000022244405,0.00001814933,0.00035198816,0.000047044545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001381081,0.00039132056,0.00020808498,0.00063070224,0.00099887,0.0005079771,0.0006180557,0.00029760526,0.0036871699],"category_scores_gemma":[0.00034651515,0.0002368655,0.00011367393,0.0008712939,0.0002147925,0.00023002239,0.00034531,0.00028595954,0.0010398364],"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":[0.0003656537,0.00018144482,0.6200918,0.00034014226,0.00015744909,0.00078255957,0.0016938854,0.0054539694,0.11404362,0.00096460944,0.05647995,0.1994449],"study_design_scores_gemma":[0.00008216859,0.00009912748,0.91245663,0.000060818653,0.00005959251,0.00042396094,0.0013697039,0.017612834,0.015814036,0.00016970531,0.051793057,0.000058311787],"about_ca_topic_score_codex":0.83502245,"about_ca_topic_score_gemma":0.96163327,"teacher_disagreement_score":0.16497755,"about_ca_system_score_codex":0.0035155355,"about_ca_system_score_gemma":0.0063550104,"threshold_uncertainty_score":0.3318982},"labels":[],"label_agreement":null},{"id":"W348193290","doi":"","title":"Phytoextraction and phytostabilisation of metal-contaminated soil in temperate maritime climate of coastal British Columbia, Canada","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Temperate climate; Environmental science; Phytoremediation; Geography; Environmental protection; Agroforestry; Soil water; Ecology","score_opus":0.008844696425194,"score_gpt":0.20743941477524655,"score_spread":0.19859471835005255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W348193290","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970299,0.0002722284,0.0000887836,0.00004906108,0.000004390178,0.000013769399,0.0011081902,0.000006957346,0.0014266646],"genre_scores_gemma":[0.9953803,0.00037903682,0.00027127695,0.00004257693,0.0000015434224,0.000010896737,0.00068526104,0.0000085177335,0.003220658],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99974877,0.000011057362,0.000015986658,0.00007622489,0.00007582084,0.00007213923],"domain_scores_gemma":[0.9993973,0.00003447295,0.000047311656,0.000011367648,0.00043456856,0.000074950745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018668231,0.0002920904,0.00034321737,0.001122715,0.0030846158,0.0011511736,0.000612168,0.00025233632,0.0010464794],"category_scores_gemma":[0.00034696618,0.00027332868,0.0001744134,0.0018290526,0.0004606419,0.00020973907,0.00032799368,0.00033144606,0.00020777094],"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":[0.001156862,0.00017136826,0.7634796,0.00023593647,0.00014853588,0.00061868236,0.0042683305,0.0010642837,0.20729683,0.00016982818,0.0014235849,0.01996626],"study_design_scores_gemma":[0.000005946747,0.000031508076,0.9901177,0.000017394006,0.000023609622,0.000052911117,0.0020601447,0.00032250021,0.00575606,0.000017580973,0.0015820622,0.000012581834],"about_ca_topic_score_codex":0.9832829,"about_ca_topic_score_gemma":0.9944865,"teacher_disagreement_score":0.016717076,"about_ca_system_score_codex":0.009693561,"about_ca_system_score_gemma":0.0077935415,"threshold_uncertainty_score":0.07033205},"labels":[],"label_agreement":null},{"id":"W36304284","doi":"10.3389/fbinf.2022.836981","title":"Is 2-D turbulence relevant in the atmosphere?","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Atmosphere (unit); Turbulence; Meteorology; Atmospheric sciences; Environmental science; Geology; Physics","score_opus":0.01231247155695347,"score_gpt":0.22505848851059965,"score_spread":0.21274601695364617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W36304284","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84374183,0.030735664,0.043057177,0.024597,0.0058491393,0.00014103277,0.004820777,0.0010256885,0.04603168],"genre_scores_gemma":[0.99162537,0.0032547223,0.0024249414,0.0006475996,0.0004023719,0.000020774614,0.00066859357,0.000043531527,0.00091194594],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996921,0.000055158234,0.000017236916,0.00008996022,0.00006637116,0.00007912151],"domain_scores_gemma":[0.99967074,0.00009297147,0.000077280536,0.000029462915,0.00006183026,0.000067740504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036510467,0.00039630913,0.00050820666,0.0005246421,0.00080186,0.0018684034,0.0006227312,0.0013161886,0.0025138382],"category_scores_gemma":[0.001447768,0.00021724822,0.00047281996,0.0005908731,0.0010579777,0.0014985165,0.0008395103,0.0007820323,0.00042327403],"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":[0.0025540602,0.0004579071,0.36197954,0.002878739,0.0007312738,0.005652869,0.0013989231,0.083242856,0.2541698,0.0889698,0.04097269,0.15699159],"study_design_scores_gemma":[0.00030132162,0.000551561,0.38908714,0.0006289732,0.0003952399,0.0024846236,0.0050477544,0.40036884,0.032566752,0.07987799,0.08804527,0.0006445751],"about_ca_topic_score_codex":0.0061823954,"about_ca_topic_score_gemma":0.0034646795,"teacher_disagreement_score":0.0061823954,"about_ca_system_score_codex":0.0007926297,"about_ca_system_score_gemma":0.0006040124,"threshold_uncertainty_score":0.012292862},"labels":[],"label_agreement":null},{"id":"W39216086","doi":"10.1113/jp286870","title":"Hydrogeomorphic edge-detection and delineation of landscape functional units from high-resolution LIDAR DEMs","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Remote Sensing and LiDAR Applications","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 Toronto","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; Novo Nordisk Fonden","keywords":"Lidar; Remote sensing; Digital elevation model; Environmental science; Geography; Cartography; Geology","score_opus":0.019587124099086774,"score_gpt":0.2149416270926076,"score_spread":0.19535450299352083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W39216086","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":[0.39459,0.001188924,0.5843579,0.00058376207,0.000111260044,0.00021667582,0.0033227871,0.003923814,0.01170495],"genre_scores_gemma":[0.76994985,0.0008333883,0.22312509,0.00013711027,0.00005054522,0.00013826658,0.0029923143,0.000424635,0.002348894],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998611,0.000019686608,0.000007024264,0.000026965407,0.000054042408,0.00003122951],"domain_scores_gemma":[0.9997594,0.00005572506,0.00003570004,0.000038968046,0.00008446674,0.000025641386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036495086,0.00058047526,0.00025298723,0.002540096,0.00017102357,0.0006000326,0.00049426744,0.0005749582,0.003130089],"category_scores_gemma":[0.00087960495,0.00026280573,0.00036851005,0.000997465,0.00025794934,0.00063997135,0.0007912698,0.00056141027,0.0010684865],"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":[0.00050665217,0.00015673843,0.011221997,0.00065969396,0.00012384506,0.0009896666,0.00070140127,0.036166042,0.75019485,0.007970515,0.00811802,0.18319067],"study_design_scores_gemma":[0.000064527005,0.00021098673,0.05710551,0.00016325543,0.000120581986,0.0022243396,0.00084506726,0.68201125,0.22045672,0.012201035,0.024387624,0.00020915465],"about_ca_topic_score_codex":0.0009871352,"about_ca_topic_score_gemma":0.0017967931,"teacher_disagreement_score":0.003130089,"about_ca_system_score_codex":0.00022842347,"about_ca_system_score_gemma":0.00036218984,"threshold_uncertainty_score":0.010471165},"labels":[],"label_agreement":null},{"id":"W43184472","doi":"","title":"Spatial heterogeneity of soil organic carbon in the Kananaskis valley (Rocky Mountains, Canada)","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological 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":"Environmental science; Soil carbon; Ecosystem; Carbon cycle; Soil water; Vegetation (pathology); Climate change; Carbon fibers; Total organic carbon; Ecology; Soil science; Physical geography; Geography; Biology","score_opus":0.014397371628018085,"score_gpt":0.2145970633697266,"score_spread":0.2001996917417085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W43184472","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964625,0.0004884561,0.000076849516,0.00015157113,0.000004885679,0.000016133778,0.0018067743,0.000014329166,0.0009785445],"genre_scores_gemma":[0.9980028,0.00022506063,0.00015404771,0.00003132476,0.0000023773066,0.0000074291365,0.0009347196,0.0000045602146,0.0006375104],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996575,0.000022549926,0.000017152393,0.00008998696,0.00008117365,0.00013168926],"domain_scores_gemma":[0.99932075,0.00007258026,0.00010500621,0.000026703103,0.00031009852,0.00016492893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027269823,0.00021126082,0.0003425074,0.001492905,0.0019574733,0.0012118644,0.0007813918,0.00030864216,0.0011525155],"category_scores_gemma":[0.000859122,0.0002326755,0.00028486893,0.0031305456,0.0014299558,0.00027677257,0.00073885446,0.00027823515,0.00018773548],"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":[0.00013085007,0.00003707309,0.981089,0.00008406243,0.0001714674,0.00032067584,0.0020577207,0.00082870916,0.0021843044,0.00031834238,0.0016767236,0.011101253],"study_design_scores_gemma":[0.00000514403,0.0000050550875,0.9979286,0.000011875079,0.0000135040755,0.00004209832,0.0011295137,0.0002929446,0.0000457279,0.00003375348,0.00048306302,0.00000864429],"about_ca_topic_score_codex":0.99382555,"about_ca_topic_score_gemma":0.9972716,"teacher_disagreement_score":0.012918125,"about_ca_system_score_codex":0.012918125,"about_ca_system_score_gemma":0.0159301,"threshold_uncertainty_score":0.09372795},"labels":[],"label_agreement":null},{"id":"W637798","doi":"","title":"Distinguishing Aldehydes and Ketones in Ambient Air using SIFT-MS","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Methacrolein; Isoprene; Ketone; Aldehyde; Chemistry; Organic chemistry; Catalysis","score_opus":0.02278664423245011,"score_gpt":0.2534977146961249,"score_spread":0.2307110704636748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W637798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99134237,0.0005232649,0.00534464,0.000043657863,0.00002900037,0.000049006714,0.00083140563,0.00013936278,0.0016974113],"genre_scores_gemma":[0.9880735,0.00045409304,0.008818506,0.00013796722,0.000035836223,0.0000455198,0.0007703196,0.000025438942,0.0016388176],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997707,0.000019281293,0.000018905437,0.00008326877,0.00007096415,0.000036913523],"domain_scores_gemma":[0.9998191,0.000048685153,0.00003633696,0.0000089277655,0.000056000845,0.000030955875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026797983,0.00044097498,0.00022987177,0.0011397103,0.00041977633,0.00031183206,0.0002212054,0.00036313594,0.0019749384],"category_scores_gemma":[0.0004041165,0.0001305895,0.00016984537,0.00060663285,0.00024067063,0.00029905213,0.000336895,0.00022897101,0.00050881715],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018034034,0.00017992398,0.16777524,0.00018202455,0.00007823047,0.00027257894,0.00046613664,0.00017018623,0.7835197,0.00017983616,0.00041848625,0.044954114],"study_design_scores_gemma":[0.00008177787,0.0027222026,0.6815721,0.000032638185,0.00016717117,0.0016217688,0.0012749716,0.0042771804,0.30397946,0.00045516388,0.0037548302,0.00006074677],"about_ca_topic_score_codex":0.0014245441,"about_ca_topic_score_gemma":0.0027683908,"teacher_disagreement_score":0.0019749384,"about_ca_system_score_codex":0.00011072959,"about_ca_system_score_gemma":0.00015977262,"threshold_uncertainty_score":0.0066068172},"labels":[],"label_agreement":null},{"id":"W64662484","doi":"","title":"Fuel dynamics by using Landscape Ecology Indices in the Alto Mijares, Spain","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Ecology; Geography; Environmental resource management; Environmental science; Biology","score_opus":0.011861530036286967,"score_gpt":0.23919410934791097,"score_spread":0.227332579311624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W64662484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99749964,0.0003875102,0.00010759004,0.0000944527,0.000016477561,0.0000070902984,0.0010370741,0.0000115934145,0.00083857647],"genre_scores_gemma":[0.99615234,0.00019232619,0.00023790257,0.000027468717,0.000016213236,0.000009470988,0.0018746604,0.000013093803,0.0014764741],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997683,0.000074402386,0.000013384648,0.00006399413,0.000027050783,0.000052837997],"domain_scores_gemma":[0.99963975,0.000074695025,0.00007435097,0.00002061213,0.00013013881,0.00006040139],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006222705,0.0004713345,0.00043347524,0.00083387055,0.000310873,0.0010712286,0.0006092428,0.00040576214,0.0008860552],"category_scores_gemma":[0.0013485773,0.00017729387,0.0005693449,0.0009324716,0.00018677188,0.0002690212,0.0004728709,0.00036671228,0.00022935096],"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":[0.0006204371,0.00012436113,0.98639315,0.000036802892,0.00029285927,0.0001702479,0.00048019277,0.0024032707,0.00024348729,0.0001223102,0.0013709052,0.007741844],"study_design_scores_gemma":[0.00003686504,0.000026611353,0.9960543,0.000015038984,0.00007081217,0.000037575006,0.0007517367,0.0022016945,0.000044899058,0.000038859005,0.0007135269,0.000008146797],"about_ca_topic_score_codex":0.44521636,"about_ca_topic_score_gemma":0.5097419,"teacher_disagreement_score":0.44521636,"about_ca_system_score_codex":0.0014495129,"about_ca_system_score_gemma":0.0005816605,"threshold_uncertainty_score":0.88524985},"labels":[],"label_agreement":null},{"id":"W77957126","doi":"","title":"Characterization of Archean subaqueous calderas: volcanic structure and geometry","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Geology; Archean; Volcano; Caldera; Geometry; Seismology; Paleontology; Mathematics","score_opus":0.016193327905624662,"score_gpt":0.21757095624639686,"score_spread":0.2013776283407722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W77957126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99466324,0.00035319114,0.00067908765,0.000048708684,0.0000049902665,0.000019567518,0.0010868134,0.000053040294,0.00309133],"genre_scores_gemma":[0.99740714,0.00009997611,0.001124118,0.000013321098,0.000009692507,0.000009519715,0.0010095905,0.000015501764,0.00031121518],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998957,0.0000089370105,0.000009073532,0.000042081174,0.000027969352,0.000016227328],"domain_scores_gemma":[0.99941087,0.00007699682,0.00010742766,0.00007806492,0.00025333496,0.00007328725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022392155,0.00024681436,0.00024985828,0.0032031334,0.0006052309,0.00078644796,0.000566913,0.0003800655,0.0013833612],"category_scores_gemma":[0.00083315093,0.00014436033,0.00022262045,0.0018371948,0.00033541024,0.00035367455,0.0005750708,0.00024165197,0.00026989414],"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":[0.0001543697,0.00004841281,0.9364882,0.00005902837,0.00007452774,0.00028662162,0.0007806441,0.0027156933,0.029386388,0.00039308265,0.00046743,0.02914562],"study_design_scores_gemma":[0.000009778605,0.0000142356175,0.99412173,0.0000058418455,0.000021781065,0.00021121657,0.00022550735,0.003288479,0.0010041033,0.00006345283,0.0010294291,0.0000043987025],"about_ca_topic_score_codex":0.050673503,"about_ca_topic_score_gemma":0.07882889,"teacher_disagreement_score":0.050673503,"about_ca_system_score_codex":0.00057416304,"about_ca_system_score_gemma":0.00049173686,"threshold_uncertainty_score":0.10075712},"labels":[],"label_agreement":null},{"id":"W78042191","doi":"","title":"Revising the Limit of the NW Laurentide Ice Sheet: extensive glaciation in NE Beringia","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Indigenous Studies and Ecology","field":"Health Professions","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":"MacEwan University","funders":"","keywords":"Beringia; Geology; Wisconsin glaciation; Ice sheet; Glacial period; Arctic; Archipelago; Paleontology; Oceanography; Pleistocene; Physical geography; Mammoth; Deglaciation; Ice stream; Sea ice; Cryosphere; Geography","score_opus":0.038145622310154836,"score_gpt":0.3400044473568052,"score_spread":0.30185882504665035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W78042191","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99162394,0.0019994278,0.00012384167,0.000508603,0.000018608316,0.0000109947705,0.00024990353,0.0000063694533,0.0054583405],"genre_scores_gemma":[0.99754816,0.0010534906,0.0003176535,0.00013003791,0.000017547618,0.0000072506778,0.00025613056,0.0000050530207,0.00066465914],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99983263,0.000022830507,0.000015308191,0.000047976966,0.000023113267,0.000058142447],"domain_scores_gemma":[0.9993813,0.00008763,0.00017657655,0.000031935495,0.00022234577,0.000100182966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005986371,0.00019398736,0.00030636604,0.0017989452,0.0017486796,0.0016476397,0.00048364088,0.0003011752,0.0012037238],"category_scores_gemma":[0.0017354493,0.00014411921,0.00013258513,0.0014406431,0.001128481,0.0008261782,0.00089272705,0.00052519847,0.00018310973],"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":[0.0001613791,0.000028886147,0.91911954,0.00017380631,0.000053820044,0.00085045473,0.030979786,0.0005883598,0.006001296,0.00078745285,0.0013800741,0.0398751],"study_design_scores_gemma":[0.000001771618,0.000008765826,0.9909554,0.000082792976,0.000009527073,0.00007783581,0.0047554807,0.00012199413,0.0001378136,0.00006308249,0.003781592,0.0000038945336],"about_ca_topic_score_codex":0.69678944,"about_ca_topic_score_gemma":0.9005824,"teacher_disagreement_score":0.69678944,"about_ca_system_score_codex":0.0054328353,"about_ca_system_score_gemma":0.0037071698,"threshold_uncertainty_score":0.6099924},"labels":[],"label_agreement":null},{"id":"W82925190","doi":"","title":"Fresh Water in the Arctic Ocean: Results from the 2008 Winter Hydrographic Surveys","year":2009,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Arctic and Antarctic ice dynamics","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":"Oceanography; Hydrography; Ocean gyre; Arctic; Canada Basin; Geology; Beaufort scale; Structural basin; Ridge; Arctic sea ice decline; Arctic dipole anomaly; Salinity; Climatology; Environmental science; Arctic ice pack; Fishery; Antarctic sea ice; Subtropics","score_opus":0.020810966959125394,"score_gpt":0.22022500025432132,"score_spread":0.1994140332951959,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W82925190","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968156,0.00009507054,0.00005353816,0.00002515388,0.0000038221424,0.0000060758366,0.0024627496,0.0000060626567,0.0005318953],"genre_scores_gemma":[0.99228036,0.00031957997,0.00047267534,0.000033030254,0.000015518704,0.00001369167,0.0061861393,0.000005727767,0.0006733549],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998816,0.000013596239,0.000012426144,0.000022497965,0.000043259555,0.000026590153],"domain_scores_gemma":[0.999554,0.000028538181,0.00010715662,0.000022395478,0.00020003995,0.00008785585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026738693,0.00018347222,0.00014600382,0.00090240926,0.0003709373,0.0003550522,0.00012552194,0.00013461999,0.00026178666],"category_scores_gemma":[0.0004546918,0.00007954054,0.00015584381,0.0009685428,0.00015103012,0.00020066541,0.00028904233,0.00013004744,0.0001276497],"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":[0.00008258425,0.00001740738,0.99328303,0.000014302829,0.000023420414,0.0000439137,0.00032736335,0.00012768096,0.0010182804,0.000010146152,0.0003451686,0.004706703],"study_design_scores_gemma":[0.0000018016032,0.000027445181,0.99842083,0.0000037876605,0.000008251036,0.000020582993,0.00023219931,0.00011420833,0.00026707404,0.0000031920797,0.0008987063,0.0000019665645],"about_ca_topic_score_codex":0.2339378,"about_ca_topic_score_gemma":0.43343502,"teacher_disagreement_score":0.2339378,"about_ca_system_score_codex":0.0007320459,"about_ca_system_score_gemma":0.0008065135,"threshold_uncertainty_score":0.46515226},"labels":[],"label_agreement":null},{"id":"W853855346","doi":"","title":"Using Satellite Remote Sensing and Modelling for Insights into N02 Air Pollution and NO2 Emissions","year":2012,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","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":"Dalhousie University","funders":"","keywords":"Ozone Monitoring Instrument; Satellite; Environmental science; Troposphere; Air quality index; Tropospheric ozone; Remote sensing; Atmospheric sciences; Population; Climate change; Air pollution; Planetary boundary layer; Meteorology; Geography; Geology","score_opus":0.03666122565462645,"score_gpt":0.25727544873074376,"score_spread":0.2206142230761173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W853855346","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80898243,0.0040448555,0.16169515,0.0024244972,0.00018430507,0.00006620937,0.002758381,0.0005713958,0.019272842],"genre_scores_gemma":[0.9647091,0.0019131273,0.030489668,0.0000746552,0.000060265593,0.000037879377,0.0009990905,0.000057222886,0.0016588853],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998927,0.000038342867,0.000005974478,0.00002135197,0.000032197557,0.000009423623],"domain_scores_gemma":[0.9999021,0.000044637763,0.000020492045,0.000013183791,0.000013630091,0.000005940672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002788135,0.00049402367,0.00020784386,0.00032904037,0.0001651229,0.0005127635,0.00029571852,0.00044633876,0.0007167366],"category_scores_gemma":[0.00068741734,0.0001940819,0.0005191774,0.00084137666,0.00025648062,0.0008410436,0.0002624802,0.0002736366,0.00012057397],"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":[0.000037815378,0.00003537622,0.01520708,0.000054825523,0.00008980454,0.00005973823,0.000054217184,0.95319164,0.0030773156,0.009000686,0.00079277967,0.018398732],"study_design_scores_gemma":[0.0000115073635,0.000015776805,0.005982395,0.000009820192,0.000019253554,0.000013722219,0.000025077625,0.9841763,0.0006041126,0.006374728,0.002755105,0.000012205923],"about_ca_topic_score_codex":0.054568183,"about_ca_topic_score_gemma":0.03651436,"teacher_disagreement_score":0.054568183,"about_ca_system_score_codex":0.00074884674,"about_ca_system_score_gemma":0.0006359699,"threshold_uncertainty_score":0.10850108},"labels":[],"label_agreement":null},{"id":"W90915941","doi":"","title":"Can an electro-kinetic mechanism explain artificial earthquakes?","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Earthquake Detection and Analysis","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Multiphysics; Mechanics; Fault (geology); Pore water pressure; Kinetic energy; Geology; Fluid pressure; Transient (computer programming); Mechanism (biology); Electric field; Finite element method; Geotechnical engineering; Physics; Seismology; Thermodynamics; Classical mechanics; Computer science","score_opus":0.020148396804114507,"score_gpt":0.2319154015590428,"score_spread":0.2117670047549283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W90915941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45946386,0.010173105,0.4524189,0.018196141,0.0026051418,0.00027821894,0.0004570176,0.0018953406,0.054512277],"genre_scores_gemma":[0.9827239,0.0020525267,0.009245585,0.0004893561,0.00018009257,0.00007462505,0.00006774022,0.00014248234,0.005023708],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99982136,0.000028099397,0.000015364898,0.00004335235,0.000044916498,0.00004688021],"domain_scores_gemma":[0.99957675,0.00014811916,0.00010874966,0.000057898742,0.000054282944,0.00005410304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045832226,0.0008281593,0.00076415145,0.0007656227,0.0004800606,0.0014329746,0.0019616007,0.0036158348,0.0044866377],"category_scores_gemma":[0.001980449,0.00078036677,0.0010512092,0.00032544823,0.0020763178,0.0033877606,0.0011693849,0.0010241269,0.0010220931],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025153524,0.0002555614,0.012671542,0.0012926025,0.0003737636,0.003832858,0.0013290443,0.42623463,0.03856335,0.47625154,0.0045946073,0.03434903],"study_design_scores_gemma":[0.00018813573,0.00029228345,0.007069881,0.000117691474,0.00007800102,0.0016088067,0.00051128404,0.7200693,0.0025328156,0.2536322,0.013743666,0.00015595305],"about_ca_topic_score_codex":0.0012706503,"about_ca_topic_score_gemma":0.00048189308,"teacher_disagreement_score":0.0044866377,"about_ca_system_score_codex":0.0005006703,"about_ca_system_score_gemma":0.00035506627,"threshold_uncertainty_score":0.015009344},"labels":[],"label_agreement":null},{"id":"W9230606","doi":"","title":"Sediment deposition modelling and virtual coring in a high alpine lake","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Coring; Deposition (geology); Sediment; Geology; Hydrology (agriculture); Geomorphology; Physical geography; Geography; Geotechnical engineering; Engineering; Drilling","score_opus":0.012861795880499384,"score_gpt":0.22057662130800237,"score_spread":0.207714825427503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W9230606","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99441886,0.000051592368,0.0030729044,0.00012091939,0.000017601964,0.000015704247,0.00022668473,0.00022440452,0.0018513956],"genre_scores_gemma":[0.9969934,0.000026144999,0.0021614505,0.000010517715,0.0000051409256,0.000006699885,0.00007657872,0.000021280111,0.0006987379],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998839,0.00003077931,0.0000135080745,0.000030052317,0.000017727265,0.00002403894],"domain_scores_gemma":[0.99961925,0.00016911281,0.000040150157,0.000036968166,0.00007079774,0.00006375768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030184552,0.00056025427,0.00056909746,0.00034056292,0.0007930876,0.0013056197,0.00084279885,0.0011677576,0.0015990607],"category_scores_gemma":[0.0008348062,0.00044646687,0.000541892,0.0006953633,0.0006111323,0.0006133629,0.0005996078,0.0004664264,0.00011852502],"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":[0.00018606127,0.00009203544,0.009022623,0.00003032565,0.000030506562,0.00023796804,0.00012557783,0.9840714,0.0022229587,0.0002636089,0.00019727452,0.0035197767],"study_design_scores_gemma":[0.00002866428,0.000023045845,0.0031045354,0.0000023709636,0.000007988728,0.000010596414,0.000038480997,0.99623555,0.00037055145,0.000080732774,0.00008779387,0.0000097716065],"about_ca_topic_score_codex":0.13697036,"about_ca_topic_score_gemma":0.12032745,"teacher_disagreement_score":0.13697036,"about_ca_system_score_codex":0.0011354593,"about_ca_system_score_gemma":0.0014100464,"threshold_uncertainty_score":0.2723462},"labels":[],"label_agreement":null},{"id":"W9683377","doi":"10.1016/s0277-9536(98)00008-2","title":"Observing electromagnetic signals as earthquake precursors in terms of complexity","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Earthquake Detection and Analysis","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":"Earthquake prediction; Geology; Computer science; Seismology","score_opus":0.027726415165819723,"score_gpt":0.24769167514858656,"score_spread":0.21996525998276684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W9683377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9837865,0.00025292253,0.0026102208,0.00045858865,0.000014943941,0.000030514204,0.00074518716,0.000030332953,0.012070795],"genre_scores_gemma":[0.9984946,0.00007995813,0.00053430704,0.000013841182,0.000010455367,0.000005041297,0.00023132615,0.0000049575947,0.00062544993],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99961734,0.00006699243,0.000019718274,0.00007704923,0.0001356181,0.00008336771],"domain_scores_gemma":[0.99715984,0.0009749825,0.0010740922,0.00023168256,0.00035375665,0.00020558144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046362623,0.0002467673,0.0002807945,0.0012780556,0.0005810803,0.0019435514,0.00032952696,0.00033838904,0.003678596],"category_scores_gemma":[0.008087657,0.00019630726,0.00021184253,0.001621885,0.00080666604,0.0010428613,0.0011215984,0.00047716906,0.00023396131],"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":[0.00025507738,0.00002326127,0.9611693,0.000059938957,0.00008005818,0.0003375767,0.0027625181,0.0038781338,0.0046682446,0.0052708876,0.0009432865,0.020551594],"study_design_scores_gemma":[0.0000024821763,0.00002258454,0.99475443,0.000008024515,0.000014332489,0.0000945322,0.00077510375,0.0017764827,0.000103331986,0.0013434658,0.0010958568,0.000009398973],"about_ca_topic_score_codex":0.050109774,"about_ca_topic_score_gemma":0.0934396,"teacher_disagreement_score":0.050109774,"about_ca_system_score_codex":0.0013060773,"about_ca_system_score_gemma":0.0007750234,"threshold_uncertainty_score":0.0996362},"labels":[],"label_agreement":null}]}