{"meta":{"query_hash":"fa2e2e75f307","filters":{"venue":"2016 AGU Fall Meeting"},"cohort_total":13,"direct_labels_cover":0,"predictions_cover":13,"exported":13,"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/fa2e2e75f307","api":"https://metacan.xera.ac/api/v1/cohort?venue=2016+AGU+Fall+Meeting"},"results":[{"id":"W2586264255","doi":"","title":"P21C-2113: Constraining Hesperian Martian PCO2 from Mineral Analysis at Gale Crater","year":2016,"lang":"en","type":"article","venue":"2016 AGU Fall Meeting","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","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":"Hesperian; Noachian; Mars Exploration Program; Impact crater; Martian; Geology; Astrobiology; Martian surface; Earth science; Exploration of Mars","score_opus":0.014964536286594532,"score_gpt":0.21516506348942238,"score_spread":0.20020052720282785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2586264255","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.984068,0.000022866907,0.001680072,0.00067926745,0.00015461553,0.000064715234,0.00013230702,0.000035279605,0.013162928],"genre_scores_gemma":[0.99577445,0.0000017968292,0.0011482006,0.00012036782,0.0004710142,0.000007807352,0.00035323668,0.000009339738,0.0021137872],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99878913,0.00006157049,0.00026070199,0.00035292923,0.00017106009,0.0003645997],"domain_scores_gemma":[0.99939466,0.00009226023,0.00012908566,0.00022612029,0.00003323087,0.00012464932],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000207962,0.00015832853,0.0002156923,0.00008756431,0.00019597994,0.00008354319,0.00016293475,0.00003796692,0.00083067105],"category_scores_gemma":[0.000009876676,0.00010659692,0.00011532368,0.00017649187,0.00007219627,0.00042378946,0.000053441716,0.00005193642,0.0013975307],"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":[0.0000144764035,0.000016274793,0.92139256,0.0000010492132,0.00014873582,0.000004354455,0.0005212926,0.00011074049,0.070767015,0.000083877116,0.0019964748,0.004943152],"study_design_scores_gemma":[0.0073060323,0.00038877394,0.71621513,0.0008791116,0.0022122408,0.000007679275,0.007862929,0.03506234,0.059253912,0.0072462885,0.15881991,0.0047456147],"about_ca_topic_score_codex":0.0024513924,"about_ca_topic_score_gemma":0.0016438004,"teacher_disagreement_score":0.2051774,"about_ca_system_score_codex":0.000024913596,"about_ca_system_score_gemma":0.000030939984,"threshold_uncertainty_score":0.99938},"labels":[],"label_agreement":null},{"id":"W2809640576","doi":"","title":"Ecohydrological partitioning of water at long-term experimental sites in Northern latitudes using stable isotopes","year":2016,"lang":"en","type":"article","venue":"2016 AGU Fall Meeting","topic":"Geology and Paleoclimatology Research","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":"McMaster University","funders":"","keywords":"Term (time); Latitude; Environmental science; Stable isotope ratio; Ecohydrology; Climatology; Geology; Atmospheric sciences; Ecosystem; Ecology; Physics; Geodesy","score_opus":0.036053564925535894,"score_gpt":0.2663599346410676,"score_spread":0.2303063697155317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809640576","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964948,0.00076311035,0.000007711325,0.00010606768,0.00005877483,0.000107707834,0.000006722147,0.000017832514,0.0024372435],"genre_scores_gemma":[0.9994607,0.000025521947,0.00025661988,0.00002373518,0.000032599044,0.0000022505155,0.000023000206,0.00000310733,0.00017249382],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986789,0.00019138238,0.00026420888,0.00024619818,0.00013509298,0.00048421125],"domain_scores_gemma":[0.99945223,0.00027582268,0.000063711326,0.0001163961,0.000027965121,0.00006385147],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00048211473,0.00011327162,0.00020868643,0.00008372512,0.00017513803,0.000012494464,0.00015473823,0.00011597458,0.0013141718],"category_scores_gemma":[0.00005296006,0.000062016996,0.00004188228,0.000055043958,0.00022775258,0.00017405074,0.000058510388,0.00008398581,0.00037604524],"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":[0.00006584041,0.000024124556,0.9855906,0.000014173224,0.00001234474,0.000037069396,0.0002680193,0.0005609592,0.013339154,0.0000039414163,0.0000028839622,0.00008091203],"study_design_scores_gemma":[0.00041325408,0.00009314545,0.97052836,0.00010362541,0.0000049882956,0.00002784972,0.000040551942,0.00072150514,0.027830934,0.000095977986,0.000011672443,0.0001281113],"about_ca_topic_score_codex":0.0009837105,"about_ca_topic_score_gemma":0.10656228,"teacher_disagreement_score":0.10557857,"about_ca_system_score_codex":0.0000053707167,"about_ca_system_score_gemma":0.000018505325,"threshold_uncertainty_score":0.99959874},"labels":[],"label_agreement":null},{"id":"W2987056744","doi":"","title":"High-Resolution Topography and Dating in Active Tectonics I","year":2016,"lang":"en","type":"article","venue":"2016 AGU Fall Meeting","topic":"Geological and Geochemical Analysis","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":"Kootenay Association for Science & Technology","funders":"","keywords":"Geology; Tectonics; Seismology","score_opus":0.009060920761329992,"score_gpt":0.1879485928240347,"score_spread":0.1788876720627047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2987056744","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933957,0.00036051526,0.000056463567,0.0005796195,0.000040146748,0.000046236313,0.000015182018,0.000025802248,0.0054803356],"genre_scores_gemma":[0.9981583,0.000117748976,0.0015163256,0.00007904365,0.000050149083,9.479839e-7,0.000011312655,0.0000011663528,0.00006501544],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99915695,0.000058360278,0.00016555395,0.00024407143,0.00011249311,0.00026254216],"domain_scores_gemma":[0.9994633,0.00029803623,0.000064813474,0.00007874789,0.000021130063,0.00007393921],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002449837,0.00009076338,0.00013789625,0.00007046133,0.000080694466,0.00001714062,0.000092298695,0.0000575045,0.00044017917],"category_scores_gemma":[0.00022521392,0.000049446975,0.000038148013,0.00020163793,0.00007349467,0.00012543789,0.000024917821,0.00007875451,0.0000663524],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016863418,0.0000067623473,0.8976169,0.000004089719,0.000008346205,0.000003364935,0.00003020609,0.000096218,0.0015793429,0.00006360216,0.000029286435,0.100544974],"study_design_scores_gemma":[0.00034745928,0.000060803155,0.9831349,0.00010305009,0.000013573494,0.0000025157547,0.00010746239,0.0021574877,0.0010887854,0.012321066,0.00047975723,0.00018312385],"about_ca_topic_score_codex":0.0172883,"about_ca_topic_score_gemma":0.020445611,"teacher_disagreement_score":0.100361854,"about_ca_system_score_codex":0.0000031178647,"about_ca_system_score_gemma":0.0000068924514,"threshold_uncertainty_score":0.9974287},"labels":[],"label_agreement":null},{"id":"W2990059564","doi":"","title":"Fracking, Triggering Cascades, and Power Scaling in Natural Systems I","year":2016,"lang":"en","type":"article","venue":"2016 AGU Fall Meeting","topic":"Atmospheric and Environmental Gas Dynamics","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 Calgary","funders":"","keywords":"Natural (archaeology); Scaling; Geology; Environmental science; Mathematics; Paleontology","score_opus":0.004887101474963588,"score_gpt":0.19538598231722282,"score_spread":0.19049888084225922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990059564","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929461,0.00076975505,0.0012317124,0.00008718423,0.00022574839,0.00014024707,7.9689283e-7,0.000043046817,0.004555445],"genre_scores_gemma":[0.9960726,0.00015652172,0.0021775456,0.000062950814,0.00003737603,0.000009674864,3.725919e-7,0.000025281317,0.001457698],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99867344,0.000050352846,0.000272136,0.00036844134,0.0002283727,0.00040727487],"domain_scores_gemma":[0.9995492,0.000092080845,0.00009846786,0.00016092876,0.0000017319737,0.00009758309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036728388,0.00017397756,0.0001778545,0.000010740485,0.000100356214,0.000034426354,0.00015220558,0.00008907938,0.000050168594],"category_scores_gemma":[0.000053947264,0.00011839119,0.000033370783,0.00008887588,0.00015188959,0.00027600286,0.00025630608,0.00012657024,0.000118346405],"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":[0.000018785124,0.000029874334,0.94538784,0.000011802859,0.00000972636,0.00003571503,0.00055884005,0.0054555726,0.012455647,0.000048554855,0.00013779185,0.03584984],"study_design_scores_gemma":[0.003084904,0.00013140132,0.90312225,0.001808545,0.000033857,0.00016495823,0.0023238112,0.06459067,0.0007381264,0.00025046137,0.022010867,0.0017401667],"about_ca_topic_score_codex":0.0030620852,"about_ca_topic_score_gemma":0.0002375854,"teacher_disagreement_score":0.059135094,"about_ca_system_score_codex":0.0002988736,"about_ca_system_score_gemma":0.0000035979099,"threshold_uncertainty_score":0.48278525},"labels":[],"label_agreement":null},{"id":"W2993412236","doi":"","title":"Mapping lava flow textures using three-dimensional measures of surface roughness","year":2016,"lang":"en","type":"article","venue":"2016 AGU Fall Meeting","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":"Western University","funders":"","keywords":"Lava; Geology; Flow (mathematics); Surface roughness; Surface finish; Geometry; Materials science; Mathematics; Volcano; Seismology; Metallurgy","score_opus":0.04809750238394575,"score_gpt":0.23108549631712091,"score_spread":0.18298799393317516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2993412236","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99244463,0.0031262485,0.0025087127,0.00029930566,0.0004168141,0.00011043723,0.000052751184,0.00004031873,0.0010007636],"genre_scores_gemma":[0.9823049,0.00006240568,0.017142424,0.00008547717,0.00018340665,4.278297e-7,0.0000065700497,0.0000067524225,0.00020767101],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99873483,0.00005186496,0.00030736008,0.0002473831,0.00033607535,0.0003224645],"domain_scores_gemma":[0.9990331,0.00043251333,0.0001634878,0.00017275344,0.00013091147,0.00006722077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004243821,0.00014932628,0.00022844017,0.00002361898,0.00028769995,0.000021014232,0.00017414318,0.0000610696,0.0001867284],"category_scores_gemma":[0.00019342672,0.00009123801,0.000078481375,0.00019627636,0.000094239724,0.00016219684,0.00003667656,0.00006045374,0.000046670575],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001783575,0.000010078,0.9319151,0.000018434315,0.000045121622,0.0000034774937,0.00019250398,0.0323822,0.0035579165,0.000012279953,0.00089861854,0.030946422],"study_design_scores_gemma":[0.00048201947,0.000040672774,0.93859625,0.0005709805,0.000024860805,0.0000059507147,0.000340157,0.05178566,0.00042091598,0.00039132085,0.0069997204,0.00034148368],"about_ca_topic_score_codex":0.01652199,"about_ca_topic_score_gemma":0.02117125,"teacher_disagreement_score":0.030604938,"about_ca_system_score_codex":0.000008221798,"about_ca_system_score_gemma":0.00005958175,"threshold_uncertainty_score":0.9966898},"labels":[],"label_agreement":null},{"id":"W3012103148","doi":"","title":"A Fresh Look at Aging Lunar Ejecta: Insights from Optical Maturity (OMAT) and Rock Abundance (RA)","year":2016,"lang":"en","type":"article","venue":"2016 AGU Fall Meeting","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 Toronto","funders":"","keywords":"Ejecta; Maturity (psychological); Astrobiology; Abundance (ecology); Geology; Environmental science; Remote sensing; Computer science; Astronomy; Physics; Psychology; Biology; Ecology","score_opus":0.009145532285383142,"score_gpt":0.2058277234209339,"score_spread":0.19668219113555074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012103148","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99253005,0.00031430763,0.002052539,0.00035831777,0.00015382626,0.00009387067,0.000041072934,0.00004642138,0.0044095954],"genre_scores_gemma":[0.9979839,0.000020248159,0.00093012315,0.00007297762,0.00042852867,0.000007701077,0.000056650606,0.0000103983575,0.0004894997],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99892473,0.00004105909,0.000195752,0.00036539618,0.00018014172,0.00029294365],"domain_scores_gemma":[0.9993946,0.00016914253,0.00009422596,0.0001909539,0.000028119934,0.00012298606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010208209,0.00015459386,0.0001703497,0.000035038982,0.00025878576,0.00007916736,0.00014902958,0.00004504434,0.000037820693],"category_scores_gemma":[0.000015564574,0.00010513722,0.000039052255,0.000058159254,0.000041886033,0.00057521457,0.00011543175,0.00008632294,0.0007130689],"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":[0.000042631124,0.000058405236,0.877151,0.000015261166,0.000055771317,0.000014661257,0.0013680377,0.00006449614,0.10687532,0.0019939619,0.005761279,0.0065991706],"study_design_scores_gemma":[0.0071143475,0.00038109784,0.70031303,0.0040487763,0.00022195945,0.000023435385,0.0035719043,0.025368294,0.11663782,0.07491599,0.0634305,0.003972832],"about_ca_topic_score_codex":0.00086669426,"about_ca_topic_score_gemma":0.0005358958,"teacher_disagreement_score":0.17683797,"about_ca_system_score_codex":0.000027680175,"about_ca_system_score_gemma":0.000029256089,"threshold_uncertainty_score":0.9165296},"labels":[],"label_agreement":null},{"id":"W3014220177","doi":"","title":"Implications of climate variability for monitoring the effectiveness of global mercury policy","year":2016,"lang":"en","type":"article","venue":"2016 AGU Fall Meeting","topic":"Mercury impact and mitigation studies","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":"Mercury (programming language); Environmental science; Climate change; Environmental resource management; Climatology; Natural resource economics; Environmental planning; Computer science; Economics; Geology; Oceanography","score_opus":0.017379961830010136,"score_gpt":0.30826526042600916,"score_spread":0.29088529859599904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014220177","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97921705,0.000033828594,0.0022980084,0.00044142865,0.000089301386,0.0003575924,0.00009784869,0.00001597179,0.017448984],"genre_scores_gemma":[0.99918866,0.000064427426,0.00059673324,0.000009924753,0.000055711876,0.00006462101,5.6520554e-7,0.0000051566444,0.000014218495],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991011,0.00018089644,0.00023735159,0.00015355163,0.00011725869,0.00020981015],"domain_scores_gemma":[0.99812406,0.001396254,0.00016318222,0.00024120732,0.00003610287,0.000039209186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016791492,0.00008268169,0.00014987122,0.000008833578,0.00013655702,0.0000043740324,0.00017045089,0.00003141443,0.000009442382],"category_scores_gemma":[0.0010495958,0.000044517616,0.00007170092,0.00015235957,0.00020289117,0.00009632608,0.00014643052,0.00002005062,0.000012630878],"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":[0.000026417534,0.000021706133,0.8923532,0.000042167656,0.000015121413,1.1930537e-8,0.00008547945,0.000015728043,0.0913505,0.0028571296,0.00003651631,0.013196048],"study_design_scores_gemma":[0.00024074332,0.000028923278,0.97371876,0.00012869801,0.000019781079,6.318497e-7,0.000060580416,0.000004247948,0.018556848,0.006925341,0.00025156906,0.00006388577],"about_ca_topic_score_codex":0.000998711,"about_ca_topic_score_gemma":0.00004655571,"teacher_disagreement_score":0.08136558,"about_ca_system_score_codex":0.00014460948,"about_ca_system_score_gemma":0.000020957523,"threshold_uncertainty_score":0.18153757},"labels":[],"label_agreement":null},{"id":"W3023004585","doi":"","title":"Orbiting carbon observatory (OCO-2) tracks increase of carbon release to the atmosphere during the 2014-2016 El Niño","year":2016,"lang":"en","type":"article","venue":"2016 AGU Fall Meeting","topic":"Atmospheric and Environmental Gas Dynamics","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 Toronto","funders":"","keywords":"Atmosphere (unit); Observatory; Carbon fibers; Astrobiology; Environmental science; Atmospheric sciences; Meteorology; Geography; Geology; Materials science; Physics; Astronomy","score_opus":0.005343464565802223,"score_gpt":0.18883815491056963,"score_spread":0.1834946903447674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023004585","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9844131,0.00029795058,0.00014393475,0.00082414685,0.00017603658,0.0004919745,0.000006430353,0.0000691156,0.013577328],"genre_scores_gemma":[0.99398184,0.00018213416,0.0012750998,0.00032908106,0.00020410585,0.00006356395,8.380893e-7,0.000070343645,0.003892966],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99729514,0.00022569961,0.0005650477,0.00058714894,0.00060890894,0.0007180626],"domain_scores_gemma":[0.99822867,0.0003020628,0.00035712362,0.00084812386,0.000011825549,0.0002522057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008318694,0.00036453624,0.000298621,0.0000038621124,0.00034937295,0.00002493347,0.00080446526,0.0001351692,0.00014580964],"category_scores_gemma":[0.0002217804,0.00018759382,0.0001444733,0.00019362646,0.0004040817,0.00016147947,0.0007253989,0.00024251846,0.00018450961],"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":[0.00010343405,0.000081953855,0.9265445,0.00002599475,0.00003893945,0.000021598427,0.0009023907,0.014162732,0.043074314,0.000017527387,0.0005894618,0.014437181],"study_design_scores_gemma":[0.0016447908,0.00019954305,0.9654784,0.00085370993,0.00014522625,0.00004193876,0.0024646677,0.01223468,0.005535179,0.00018629049,0.01004101,0.0011745284],"about_ca_topic_score_codex":0.021571422,"about_ca_topic_score_gemma":0.0017261838,"teacher_disagreement_score":0.038933963,"about_ca_system_score_codex":0.0004711171,"about_ca_system_score_gemma":0.000031089723,"threshold_uncertainty_score":0.98494405},"labels":[],"label_agreement":null},{"id":"W3035100787","doi":"","title":"Betting on Climate Change: Prediction Markets, Risk Assessment, Insurance, Scientific Consensus, and Policy Decisions Posters","year":2016,"lang":"en","type":"article","venue":"2016 AGU Fall Meeting","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","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 Lethbridge","funders":"","keywords":"Scientific consensus; Actuarial science; Climate change; Risk assessment; Business; Economics; Global warming","score_opus":0.029716292619965428,"score_gpt":0.2546467292941243,"score_spread":0.22493043667415888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035100787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95660216,0.00070354005,0.0003987742,0.0014464404,0.0010802797,0.00044054067,0.0012169989,0.00008961384,0.03802167],"genre_scores_gemma":[0.9930273,0.00457405,0.0010156195,0.00029083533,0.0004286798,0.000063970096,0.000011211301,0.00003728912,0.0005509959],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977843,0.00006150412,0.000700928,0.0007218447,0.000107291096,0.0006241088],"domain_scores_gemma":[0.998412,0.00033521024,0.00064415496,0.00042416735,0.00007003626,0.000114417155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022841375,0.00023018333,0.00034358836,0.0005968002,0.00079614756,0.0002181687,0.00019994445,0.000111315385,0.000010740242],"category_scores_gemma":[0.00095392944,0.00019778637,0.000097065196,0.00037503493,0.00015745094,0.00034075967,0.00017765585,0.0001616905,0.00030580704],"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":[0.000040394123,0.000043978333,0.85705066,0.000019760342,0.000023512177,0.0000042671873,0.0001795077,0.0000030716212,0.000072873256,0.029749159,0.0011455524,0.11166725],"study_design_scores_gemma":[0.0009822613,0.000073966956,0.9572428,0.00055571174,0.0000086383825,0.0000024942615,0.00006398183,0.00034555243,0.00001695368,0.006274243,0.034154017,0.0002793807],"about_ca_topic_score_codex":0.00062942813,"about_ca_topic_score_gemma":0.00014894454,"teacher_disagreement_score":0.11138787,"about_ca_system_score_codex":0.00016282087,"about_ca_system_score_gemma":0.000028631495,"threshold_uncertainty_score":0.80654943},"labels":[],"label_agreement":null},{"id":"W3043713188","doi":"","title":"Characterizing near-surface firn from the scattered signal component of glacier surface reflections detected in airborne radio-echo sounding measurements","year":2016,"lang":"en","type":"article","venue":"2016 AGU Fall Meeting","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 Alberta","funders":"","keywords":"Firn; Echo sounding; Echo (communications protocol); Geology; Depth sounding; Glacier; Remote sensing; Component (thermodynamics); SIGNAL (programming language); Physics; Oceanography; Geomorphology; Computer science","score_opus":0.05571087302764382,"score_gpt":0.24687502898603542,"score_spread":0.1911641559583916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043713188","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99657875,0.00084584946,0.00043167517,0.0009658334,0.0003983652,0.00023880933,0.00008895951,0.000044739056,0.00040701134],"genre_scores_gemma":[0.9972089,0.00010714126,0.0023445555,0.00011752736,0.00010879389,0.0000018654881,0.000024426387,0.000008814042,0.000077983976],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982334,0.00020552102,0.0004669553,0.00032286294,0.00035927596,0.00041199167],"domain_scores_gemma":[0.9984979,0.0008331328,0.00025469568,0.00024810803,0.00009247201,0.00007368048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070463173,0.0001834872,0.00025956042,0.000012668016,0.00051169685,0.000067359055,0.0002895524,0.00006308336,0.00025890613],"category_scores_gemma":[0.00017542474,0.000112129615,0.00007244398,0.00037028358,0.000116752904,0.00020342818,0.00004086907,0.00013899372,0.000067922745],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004130277,0.000017379212,0.9213476,0.0000055037485,0.000050373113,0.0000012609646,0.0009714888,0.0016015384,0.07128741,8.9317183e-7,0.00011574856,0.004559478],"study_design_scores_gemma":[0.00056459673,0.000037182126,0.99291563,0.0002852553,0.000023050303,0.0000012152873,0.00055639184,0.002484826,0.0016073844,0.00004318055,0.0013032032,0.0001780792],"about_ca_topic_score_codex":0.034549087,"about_ca_topic_score_gemma":0.03128702,"teacher_disagreement_score":0.07156801,"about_ca_system_score_codex":0.000038476883,"about_ca_system_score_gemma":0.00005383095,"threshold_uncertainty_score":0.98638946},"labels":[],"label_agreement":null},{"id":"W3049480565","doi":"","title":"Climate Literacy: Science and Solutions in Multidisciplinary Higher Education II","year":2016,"lang":"en","type":"article","venue":"2016 AGU Fall Meeting","topic":"Climate Change and Environmental Impact","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 Lethbridge","funders":"","keywords":"Multidisciplinary approach; Literacy; Higher education; Political science; Mathematics education; Sociology; Pedagogy; Social science; Economic growth; Psychology; Economics","score_opus":0.029042751876010665,"score_gpt":0.2873827176737665,"score_spread":0.2583399657977558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049480565","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97634065,0.00017898915,0.0000030728042,0.0015980705,0.00018842268,0.00013510433,0.000009238326,0.000026778867,0.021519698],"genre_scores_gemma":[0.99720764,0.000343337,0.0005483806,0.00016841255,0.00005682562,0.000025225047,0.0000022161462,0.000012420448,0.0016355405],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99865645,0.00002681737,0.00018421056,0.00036908148,0.00025175832,0.0005116905],"domain_scores_gemma":[0.9995286,0.000053010055,0.00006653805,0.00020093893,0.000006241499,0.0001446742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006229042,0.00012341139,0.00009419885,0.0000741402,0.0004778393,0.00003958616,0.00016793668,0.000040952156,0.00034845943],"category_scores_gemma":[0.000051829567,0.00008501679,0.00001953581,0.00022581693,0.00044010146,0.0009049747,0.0009064708,0.00005599835,0.00041744072],"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":[0.000012776105,0.00019214375,0.6407252,0.0000092023365,0.0000012425098,0.0000029141868,0.0012452627,0.000013485286,0.27050462,0.00006511582,0.0010551092,0.086172946],"study_design_scores_gemma":[0.0003260659,0.000056655397,0.99326086,0.00028854015,0.000005394223,0.000008697405,0.00016483536,0.00022539313,0.00086770096,0.00040342222,0.00417484,0.0002176085],"about_ca_topic_score_codex":0.0009050124,"about_ca_topic_score_gemma":0.0003322386,"teacher_disagreement_score":0.35253567,"about_ca_system_score_codex":0.00044504824,"about_ca_system_score_gemma":0.000017908567,"threshold_uncertainty_score":0.5365495},"labels":[],"label_agreement":null},{"id":"W3081524096","doi":"","title":"Advances in Sensitivity and Uncertainty Analysis of Earth and Environmental Systems Models I","year":2016,"lang":"en","type":"article","venue":"2016 AGU Fall Meeting","topic":"Reservoir Engineering and Simulation 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 Saskatchewan; Global Institute for Water Security","funders":"","keywords":"Sensitivity (control systems); Environmental science; Earth system science; Econometrics; Geology; Mathematics; Engineering","score_opus":0.010296611653413156,"score_gpt":0.22812503124863429,"score_spread":0.21782841959522112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081524096","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9479786,0.0024836885,0.04896938,0.0000041339686,0.00003720142,0.000052266856,0.000019445746,0.00003513712,0.00042011196],"genre_scores_gemma":[0.9967389,0.001504851,0.0017001103,9.0809164e-7,0.000013619836,0.0000030551396,0.0000022816348,0.000009454112,0.000026838565],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994028,0.00007048709,0.0001834342,0.0001268291,0.00008855345,0.00012790042],"domain_scores_gemma":[0.99949116,0.00033111213,0.00002912898,0.000099540186,0.0000059644394,0.000043076852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045105375,0.00008950023,0.00022738834,0.00015224077,0.000015328218,0.000009160098,0.000023180728,0.00004317835,7.2866465e-7],"category_scores_gemma":[0.00003403,0.00006635373,0.000025807312,0.00010838956,0.000027015149,0.00017259586,0.000020206822,0.000039846967,3.308241e-7],"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":[0.000003317809,0.0000025868642,0.04166306,0.000039253267,0.0000358868,0.0000013477271,0.0001029223,0.9441115,0.00953291,0.000042507218,5.3422644e-7,0.004464142],"study_design_scores_gemma":[0.00021678577,0.000006038956,0.010221384,0.000106266525,0.000028994411,8.574715e-7,0.00008524324,0.9888625,0.00026549998,0.000022871613,0.00009200082,0.00009155073],"about_ca_topic_score_codex":0.00016622376,"about_ca_topic_score_gemma":0.00019744628,"teacher_disagreement_score":0.048760246,"about_ca_system_score_codex":0.000015236977,"about_ca_system_score_gemma":0.0000019074796,"threshold_uncertainty_score":0.27058265},"labels":[],"label_agreement":null},{"id":"W3085726043","doi":"","title":"Biota and Biogeochemical Cycling: Ecological Patterns and Processes across Scales in the Arctic I","year":2016,"lang":"en","type":"article","venue":"2016 AGU Fall Meeting","topic":"Indigenous Studies and Ecology","field":"Health Professions","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 de Sherbrooke","funders":"","keywords":"Biogeochemical cycle; Biota; Cycling; Environmental science; Arctic; Ecology; Oceanography; Geography; Geology; Biology","score_opus":0.039377100494219906,"score_gpt":0.3586323913126642,"score_spread":0.31925529081844434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3085726043","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921619,0.00055868167,0.000007843922,0.005891077,0.00012987574,0.00043356715,0.000028408433,0.000028255916,0.0007603883],"genre_scores_gemma":[0.99673146,0.0018274708,0.00007876925,0.0009581336,0.00022816366,0.00011672658,0.0000023949663,0.000010484185,0.000046403165],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981389,0.00023580919,0.00033321694,0.00029729583,0.000085765816,0.00090899743],"domain_scores_gemma":[0.99720585,0.0023982914,0.00012257925,0.00012561776,0.00008847404,0.000059180424],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00123541,0.00013381282,0.00023175037,0.0000265885,0.0016276573,0.0000134825605,0.00014117076,0.00020659213,0.000012527146],"category_scores_gemma":[0.0014210234,0.00006293271,0.000019126333,0.00007403166,0.00017546452,0.000048374342,0.00035460238,0.00025106678,0.000039675575],"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":[0.000018259307,0.00004466181,0.9854371,0.00023496342,0.000008682137,0.000008710061,0.012742496,3.898757e-8,0.00038879516,0.00006259577,0.00020246174,0.00085122563],"study_design_scores_gemma":[0.0010612016,0.00015174632,0.9548776,0.0007181798,0.000013655444,0.000016356606,0.038787052,0.0000063242887,0.0000701778,0.0012090132,0.0028663012,0.00022237586],"about_ca_topic_score_codex":0.0033289832,"about_ca_topic_score_gemma":0.13149998,"teacher_disagreement_score":0.128171,"about_ca_system_score_codex":0.00006408508,"about_ca_system_score_gemma":0.000059714108,"threshold_uncertainty_score":0.9996721},"labels":[],"label_agreement":null}]}