{"meta":{"query_hash":"05017527d929","filters":{"venue":"93rd American Meteorological Society Annual Meeting"},"cohort_total":29,"direct_labels_cover":0,"predictions_cover":29,"exported":29,"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/05017527d929","api":"https://metacan.xera.ac/api/v1/cohort?venue=93rd+American+Meteorological+Society+Annual+Meeting"},"results":[{"id":"W2784646096","doi":"","title":"Weather conditions over southern Ontario on the night of November 18, 2010 during the crash of a small aircraft","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Risk and Safety Analysis","field":"Decision 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":"Crash; Meteorology; Environmental science; Aeronautics; Climatology; Geography; Engineering; Geology; Computer science","score_opus":0.0378840383746113,"score_gpt":0.28967205594262685,"score_spread":0.25178801756801555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784646096","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":[0.98965055,0.000037462913,0.00028076145,0.005882522,0.00007009673,0.0003039621,0.00009683663,0.000029071294,0.0036487472],"genre_scores_gemma":[0.99156445,0.000024686933,0.001636169,0.0018765884,0.00006738812,0.000049190992,0.0000025970232,0.000015344049,0.004763553],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9958958,0.000807064,0.0010168146,0.0005585886,0.0012304722,0.0004912326],"domain_scores_gemma":[0.9921114,0.005462603,0.0010297901,0.0008076095,0.00046510674,0.00012352444],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0028521759,0.00027827572,0.00073756,0.00005275593,0.000611079,0.0000895578,0.0012505681,0.00014236159,0.008961513],"category_scores_gemma":[0.0016790363,0.00012315104,0.0010950507,0.0010939783,0.0019197287,0.00013493231,0.00032722397,0.00062806346,0.00027709999],"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":[0.00028950954,0.0012880595,0.83113515,0.000021367166,0.0018425595,0.000013494784,0.07224766,0.01252892,0.028263014,0.0019042427,0.03510999,0.015356036],"study_design_scores_gemma":[0.00042819185,0.00044373074,0.93148804,0.000030785744,0.00014047079,0.0000059280574,0.051261574,0.0012056936,0.00081372034,0.010066451,0.0037660114,0.00034938226],"about_ca_topic_score_codex":0.02186204,"about_ca_topic_score_gemma":0.0054983627,"teacher_disagreement_score":0.10035291,"about_ca_system_score_codex":0.00006093888,"about_ca_system_score_gemma":0.00006350376,"threshold_uncertainty_score":0.99194443},"labels":[],"label_agreement":null},{"id":"W2785405190","doi":"","title":"Persistence and Dissipation of Lake Erie- and Lake Ontario-Crossing Mesoscale Convective Systems","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","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":"Persistence (discontinuity); Mesoscale meteorology; Dissipation; Environmental science; Convection; Meteorology; Hydrology (agriculture); Oceanography; Climatology; Geology; Geography; Geotechnical engineering; Physics","score_opus":0.01611721522243735,"score_gpt":0.22888721993986366,"score_spread":0.2127700047174263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2785405190","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":[0.9969481,0.0004363417,0.00006133818,0.00042928677,0.00006294214,0.00024222124,0.00009303556,0.000030776282,0.0016959467],"genre_scores_gemma":[0.99695075,0.00006328258,0.002536943,0.00021224855,0.000027478729,0.000008496288,0.00005159832,0.00000256458,0.00014664375],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99836385,0.0003429749,0.00027603205,0.00038826998,0.00019251124,0.00043637032],"domain_scores_gemma":[0.99845594,0.0009358873,0.0002072583,0.00010037044,0.00012481718,0.00017571074],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00067103613,0.00016217939,0.00041982584,0.000023661487,0.0005320429,0.00007957807,0.00012752644,0.0001507176,0.0008532112],"category_scores_gemma":[0.00023843818,0.00012081906,0.00007938626,0.00018960086,0.0030714963,0.00022419656,0.000050524835,0.0003487365,0.000016035761],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032543594,0.000012413626,0.993116,0.000029336425,0.000039183982,0.0000025788088,0.0038909456,0.00008537177,0.00004306803,0.000023804545,0.000053021104,0.0026717302],"study_design_scores_gemma":[0.00018349175,0.00049404724,0.9826792,0.000019613755,0.000023495899,0.000036646157,0.012094194,0.0031363026,0.0000122578795,0.00011907982,0.0010559316,0.0001457645],"about_ca_topic_score_codex":0.0069082207,"about_ca_topic_score_gemma":0.1531613,"teacher_disagreement_score":0.14625308,"about_ca_system_score_codex":0.000002585077,"about_ca_system_score_gemma":0.000044488406,"threshold_uncertainty_score":0.99970484},"labels":[],"label_agreement":null},{"id":"W2786362895","doi":"","title":"Trajectory-Based Weather-ATM Integration at the Florida NextGen Testbed","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Transportation Planning and Optimization","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":"Lockheed Martin (Canada)","funders":"","keywords":"Testbed; Computer science; Meteorology; Trajectory; Air traffic control; Aeronautics; Real-time computing; Geography; Computer network; Engineering; Cartography","score_opus":0.015880617521834495,"score_gpt":0.2659066363299272,"score_spread":0.2500260188080927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786362895","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":[0.9730885,0.00011319675,0.009620484,0.009682492,0.00021533723,0.0005562464,0.000031009335,0.00041861364,0.00627413],"genre_scores_gemma":[0.9759666,0.000052343494,0.019364318,0.0034946776,0.00029800594,0.00012930209,0.00006319823,0.000017453287,0.00061412854],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.99770766,0.0005782212,0.00033715644,0.0003742057,0.0005016697,0.00050111115],"domain_scores_gemma":[0.99811995,0.0010205155,0.00028240873,0.00016680373,0.00024595237,0.00016434517],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0011544008,0.00019689006,0.0002507329,0.000020435431,0.0014602434,0.00012894392,0.00031243358,0.00014768647,0.0008315996],"category_scores_gemma":[0.00063909986,0.00013060462,0.00025867228,0.00066876586,0.0010993646,0.00024259234,0.00002120465,0.0002960315,0.00012568156],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036711962,0.00064744934,0.2272394,0.00004683516,0.0004127126,0.000013015695,0.24773726,0.111738116,0.020098735,0.0058417874,0.07118792,0.31466964],"study_design_scores_gemma":[0.0023190621,0.0018859603,0.35954514,0.00014232755,0.00037483624,0.0000032839068,0.4445915,0.046769157,0.0028883298,0.0018528677,0.13719493,0.0024326004],"about_ca_topic_score_codex":0.0045404807,"about_ca_topic_score_gemma":0.0005816209,"teacher_disagreement_score":0.31223705,"about_ca_system_score_codex":0.00014517954,"about_ca_system_score_gemma":0.00009088193,"threshold_uncertainty_score":0.9998397},"labels":[],"label_agreement":null},{"id":"W2786363381","doi":"","title":"The Influence of Boundary Layer Processes and Gestrophic Winds on the Diurnal Variation of the Climatological Near-Surface Winds Distribution over Land","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Meteorological Phenomena and Simulations","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 Victoria","funders":"","keywords":"Diurnal temperature variation; Variation (astronomy); Atmospheric sciences; Planetary boundary layer; Climatology; Boundary layer; Environmental science; Distribution (mathematics); Meteorology; Prevailing winds; Diurnal cycle; Seasonality; Geology; Geography; Physics; Mathematics; Mechanics","score_opus":0.010993992302820896,"score_gpt":0.21935175684251962,"score_spread":0.20835776453969873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786363381","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":[0.99630374,0.00021428178,0.00006725133,0.002679866,0.000042380845,0.00031743204,0.00012132694,0.000022480272,0.0002312649],"genre_scores_gemma":[0.9984812,0.00012217177,0.00049222825,0.000830276,0.00004242684,0.0000058537476,0.000013673679,0.0000030207711,0.000009155539],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977898,0.0006067183,0.00046093203,0.00028776945,0.00046914615,0.00038561507],"domain_scores_gemma":[0.9954937,0.0034925432,0.00050332316,0.00021960214,0.00019841,0.00009242017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010896868,0.00018745623,0.00031355006,0.0000041316653,0.001149313,0.00011340082,0.00042079264,0.000117776624,0.00016635712],"category_scores_gemma":[0.00177456,0.000074585136,0.00014224368,0.00054677,0.0022790823,0.00017115434,0.000085846594,0.00043816518,0.000007148895],"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":[0.00009231602,0.000051038205,0.9514802,0.00001853982,0.000051571056,3.9223994e-7,0.00056359946,0.044332568,0.0005164213,0.00056150224,0.00008610756,0.0022457128],"study_design_scores_gemma":[0.00014024778,0.00053617614,0.9869819,0.00001556353,0.000027097483,0.0000026247287,0.0005392789,0.008609818,0.000028122826,0.0026499412,0.00036452006,0.000104708204],"about_ca_topic_score_codex":0.0006547703,"about_ca_topic_score_gemma":0.000029128667,"teacher_disagreement_score":0.035722747,"about_ca_system_score_codex":0.000008087248,"about_ca_system_score_gemma":0.00005463015,"threshold_uncertainty_score":0.88397026},"labels":[],"label_agreement":null},{"id":"W2786423254","doi":"","title":"NOAA’s – Suomi-NPP Data Exploitation (NDE) – Product Algorithm Integration Made Simple","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Meteorological Phenomena and Simulations","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":"Lockheed Martin (Canada)","funders":"","keywords":"Simple (philosophy); Product (mathematics); Algorithm; Computer science; Mathematics","score_opus":0.03883103411580178,"score_gpt":0.26641581228124916,"score_spread":0.2275847781654474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786423254","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":[0.9674581,0.0004197208,0.020926094,0.0031300623,0.00029973764,0.0009847658,0.00060737657,0.0004204587,0.0057536545],"genre_scores_gemma":[0.8900617,0.00009001406,0.10497289,0.0026127722,0.0004842266,0.000022247943,0.0016085764,0.000010678121,0.00013692644],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99628586,0.00058325665,0.00066978583,0.0010608186,0.0005736719,0.000826608],"domain_scores_gemma":[0.9971868,0.0012028075,0.00038905628,0.0006496741,0.00022625673,0.0003454128],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013877755,0.00036839274,0.0005414135,0.000049115177,0.0006244574,0.00020212342,0.00086411735,0.00014153273,0.003918353],"category_scores_gemma":[0.0013332943,0.00026031374,0.00019979854,0.00076806097,0.0006230065,0.0011493728,0.00015611497,0.0005170073,0.00060263136],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003721362,0.000121279576,0.042380206,0.000013313348,0.000102857375,0.000004819028,0.001209065,0.004505487,0.0012762273,0.00013834932,0.0083525665,0.9418586],"study_design_scores_gemma":[0.00059899467,0.001380035,0.5270519,0.000016420057,0.00010977486,0.000011623167,0.014067249,0.43225026,0.00014070762,0.010105115,0.013262717,0.0010051405],"about_ca_topic_score_codex":0.0043178024,"about_ca_topic_score_gemma":0.00015575453,"teacher_disagreement_score":0.9408535,"about_ca_system_score_codex":0.000020911828,"about_ca_system_score_gemma":0.000041708157,"threshold_uncertainty_score":0.9999849},"labels":[],"label_agreement":null},{"id":"W2787261542","doi":"","title":"Consequences and Trend Implications of a Prolonged Dry Spell in Southern Coastal British Columbia of Canada","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","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":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Geography; Climatology; Oceanography; Geology","score_opus":0.005573884469674947,"score_gpt":0.18976756594182467,"score_spread":0.18419368147214973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787261542","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":[0.9963969,0.000023537725,0.00000719392,0.00074269227,0.000013367582,0.00018405111,0.00019730344,0.000009961845,0.0024250187],"genre_scores_gemma":[0.9970146,0.000023198108,0.0023483867,0.00041504618,0.0000056467416,0.000015149138,0.0000041809694,0.0000031984955,0.00017059925],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99867153,0.00015124353,0.00032168083,0.00030963068,0.00018896007,0.0003569436],"domain_scores_gemma":[0.99917215,0.00034848522,0.00026035134,0.00008998244,0.000016812774,0.00011219209],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00049172284,0.00008352082,0.0002981929,0.0000056007057,0.000119203214,0.000020764606,0.00022906989,0.00006670648,0.0005957274],"category_scores_gemma":[0.0002207819,0.00009203886,0.00005032747,0.00034930956,0.0034628194,0.00010224821,0.00016361543,0.00015611637,0.000004451473],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004652401,0.000052322543,0.9797656,0.0000049577243,0.000008363875,0.0000031830161,0.0010067149,0.00009913611,0.012478028,0.0000057504335,0.0009968354,0.005574433],"study_design_scores_gemma":[0.00014230663,0.00016804165,0.98964864,0.000009773293,0.0000067001865,0.00001090248,0.0085624745,0.00027837767,0.000117045805,0.0008568435,0.00007971851,0.00011914829],"about_ca_topic_score_codex":0.9056844,"about_ca_topic_score_gemma":0.9706178,"teacher_disagreement_score":0.06493335,"about_ca_system_score_codex":0.000043519936,"about_ca_system_score_gemma":0.00005749995,"threshold_uncertainty_score":0.99924916},"labels":[],"label_agreement":null},{"id":"W2787450218","doi":"","title":"The Sensitivity of Potential Wind Power Output to Vertical Turbulent Flux Parameterization Schemes for Stable Boundary Layers","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Wind Energy Research and Development","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 Victoria","funders":"","keywords":"Sensitivity (control systems); Turbulence; Flux (metallurgy); Boundary (topology); Mechanics; Power (physics); Wind power; Meteorology; Physics; Control theory (sociology); Mathematical analysis; Mathematics; Environmental science; Geometry; Atmospheric sciences; Computer science; Engineering; Materials science; Electrical engineering; Thermodynamics; Electronic engineering","score_opus":0.008884719421644763,"score_gpt":0.22727281575709887,"score_spread":0.2183880963354541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787450218","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":[0.9607306,0.00008475929,0.03712718,0.0011783136,0.000119477474,0.00041152685,0.000022855425,0.00012850146,0.00019679301],"genre_scores_gemma":[0.97500855,0.000030476542,0.024165919,0.00051983097,0.00008182698,0.000084833664,0.000017663231,0.000024985166,0.000065920474],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980353,0.00015466646,0.00035997346,0.00029018233,0.0004009112,0.0007589835],"domain_scores_gemma":[0.9986323,0.0006489254,0.000049418322,0.00017892139,0.00022888016,0.00026153805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090136094,0.00021096483,0.0003381478,0.000023019678,0.0003348322,0.00010793566,0.00017749348,0.00009889114,0.000037673635],"category_scores_gemma":[0.0006401585,0.00014726927,0.00021999872,0.00029855757,0.00038804807,0.00014468873,0.00013176142,0.0002227693,0.000021723936],"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":[0.0007979203,0.00049777894,0.0032710198,0.00024111256,0.0016695432,0.00002291385,0.0050565125,0.23355085,0.46800637,0.0007561493,0.07066225,0.21546759],"study_design_scores_gemma":[0.0027024527,0.005334107,0.1275214,0.0001812168,0.00018027535,0.00004060541,0.028934356,0.4904952,0.13257298,0.0014765176,0.20765845,0.002902435],"about_ca_topic_score_codex":0.00008604555,"about_ca_topic_score_gemma":0.0000025160016,"teacher_disagreement_score":0.3354334,"about_ca_system_score_codex":0.00009085893,"about_ca_system_score_gemma":0.00004501267,"threshold_uncertainty_score":0.60054666},"labels":[],"label_agreement":null},{"id":"W2787480243","doi":"","title":"Assimilation of GlobSnow snow water equivalent in the Canadian Land Data Assimilation System","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","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":"Data assimilation; Snow; Assimilation (phonology); Environmental science; Meteorology; Climatology; Geography; Geology","score_opus":0.04063598270652158,"score_gpt":0.2453652712010951,"score_spread":0.20472928849457353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787480243","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":[0.9900528,0.00014442472,0.00022484177,0.0049173436,0.0001280071,0.0004009398,0.00027230062,0.00003490477,0.0038243935],"genre_scores_gemma":[0.9948017,0.000041640604,0.0035448668,0.001089309,0.000119540186,0.000007982236,0.0003816899,0.0000030477486,0.000010203061],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982276,0.00026153796,0.0003763528,0.00031701507,0.00035392403,0.00046359774],"domain_scores_gemma":[0.99877316,0.00055992557,0.00016361663,0.00030134912,0.00009920167,0.00010273454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012909868,0.00014305484,0.0002672424,0.00001683,0.00043701573,0.000072525414,0.0004987878,0.00007960829,0.0004037915],"category_scores_gemma":[0.00022949073,0.00007700873,0.000082122955,0.00041371517,0.00025850406,0.00025751264,0.00006101253,0.00019968621,0.000039588598],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000064833143,0.000014895232,0.9718897,0.000016626931,0.000030314239,0.0000016089898,0.0019436555,0.004819976,0.000018509845,0.00003227194,0.0023037184,0.018922258],"study_design_scores_gemma":[0.00010625511,0.000113426286,0.93534625,0.000016910803,0.000019854613,0.0000017833916,0.012348127,0.049047854,0.0000062061595,0.000053656528,0.0028233426,0.00011631224],"about_ca_topic_score_codex":0.3611604,"about_ca_topic_score_gemma":0.2217724,"teacher_disagreement_score":0.139388,"about_ca_system_score_codex":0.00003281823,"about_ca_system_score_gemma":0.00004074126,"threshold_uncertainty_score":0.7924282},"labels":[],"label_agreement":null},{"id":"W2787769885","doi":"","title":"Best Practices in the Statistical Prediction of Time-Averaged Winds","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Wind and Air Flow 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 Victoria","funders":"","keywords":"Meteorology; Econometrics; Environmental science; Statistics; Climatology; Geography; Mathematics; Geology","score_opus":0.019678446357195265,"score_gpt":0.25952980568217,"score_spread":0.23985135932497473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787769885","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":[0.9879467,0.000031416494,0.00022203678,0.0019307408,0.000028906923,0.0002513934,0.000043401524,0.000031588774,0.009513813],"genre_scores_gemma":[0.99044424,0.000058939215,0.008086869,0.0011483708,0.00008095406,0.000053181364,0.0000074035593,0.000007097545,0.00011292406],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980805,0.00043863102,0.0003361662,0.00032961072,0.00043952616,0.00037558642],"domain_scores_gemma":[0.998167,0.0012345208,0.0003685139,0.00014713377,0.000019802996,0.000063038155],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010601658,0.00015513424,0.00028203428,0.000008906588,0.00021890292,0.000028790639,0.00029611736,0.00006635477,0.0009539515],"category_scores_gemma":[0.0009804053,0.00009324503,0.000106143285,0.0004124246,0.0011625092,0.00025424105,0.00020359771,0.00034035897,0.00032736812],"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":[0.00008558253,0.0014187136,0.7610317,0.00003640531,0.00014396937,0.000016596232,0.018699843,0.0021437802,0.035895552,0.00012904457,0.04579227,0.13460657],"study_design_scores_gemma":[0.00042041155,0.0015280645,0.9484678,0.000024273444,0.00005953247,0.000008303131,0.03515547,0.0054812464,0.00020257552,0.00069350505,0.007678621,0.00028017655],"about_ca_topic_score_codex":0.0023065696,"about_ca_topic_score_gemma":0.000017660494,"teacher_disagreement_score":0.18743615,"about_ca_system_score_codex":0.000044859804,"about_ca_system_score_gemma":0.0000059284425,"threshold_uncertainty_score":0.9999593},"labels":[],"label_agreement":null},{"id":"W2787946877","doi":"","title":"Ice fog (pogonip) and frost in Arctic: application to aviation","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Icing and De-icing Technologies","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":"Environment and Climate Change Canada","funders":"","keywords":"Frost (temperature); Aviation; Meteorology; Arctic; Environmental science; Arctic ice pack; The arctic; Aviation accident; Aeronautics; Climatology; Sea ice; Geology; Engineering; Geography; Oceanography; Aerospace engineering","score_opus":0.004585303220006973,"score_gpt":0.2092176957025067,"score_spread":0.20463239248249973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787946877","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":[0.9624435,0.0000643616,0.03448123,0.001309296,0.000048116257,0.0003345219,0.000006019647,0.00078456366,0.0005284199],"genre_scores_gemma":[0.9660625,0.00007460267,0.03272033,0.0008789191,0.00006044293,0.00016579204,0.0000060786283,0.000020608784,0.000010720861],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99876904,0.000050428996,0.00028128902,0.0003263346,0.0001505695,0.00042232312],"domain_scores_gemma":[0.9992918,0.000302294,0.00006812266,0.000184155,0.000063040156,0.000090631336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036240197,0.00018970258,0.00030066213,0.000052965563,0.000106941174,0.000048793165,0.00016843468,0.00014053046,0.000009506499],"category_scores_gemma":[0.0003862797,0.00016708145,0.00006234692,0.00057440007,0.00017023478,0.00013798765,0.00011173871,0.00033583277,0.000068431815],"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":[0.00002609893,0.00009117802,0.089153424,0.00011726867,0.00007168498,0.0000026594712,0.005408315,0.020981101,0.040912103,0.0011790821,0.0025425176,0.83951455],"study_design_scores_gemma":[0.001065301,0.0012516258,0.7770155,0.00018876897,0.000067418834,0.000018602817,0.030878937,0.15521488,0.017910628,0.009348627,0.0052398867,0.0017998173],"about_ca_topic_score_codex":0.0010493412,"about_ca_topic_score_gemma":0.000028903796,"teacher_disagreement_score":0.83771473,"about_ca_system_score_codex":0.00009581749,"about_ca_system_score_gemma":0.0000045051647,"threshold_uncertainty_score":0.68133837},"labels":[],"label_agreement":null},{"id":"W2788093641","doi":"","title":"Can Urban Ozone Generation be Modeled Correctly Based on Major Gaseous Atmospheric Reactions","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Atmospheric chemistry and aerosols","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":"Concordia University","funders":"","keywords":"Ozone; Environmental science; Meteorology; Atmospheric sciences; Climatology; Geography; Geology","score_opus":0.014179133902185252,"score_gpt":0.2112096489081689,"score_spread":0.19703051500598365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2788093641","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":[0.9895908,0.00006966799,0.0022649332,0.002846266,0.00017853173,0.0003617232,0.00015018681,0.00025661333,0.004281243],"genre_scores_gemma":[0.9503235,0.000027128244,0.042019796,0.006292116,0.0004738954,0.000032996883,0.00030281176,0.000012628036,0.00051512773],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974449,0.00024087299,0.00044508447,0.00068432535,0.0004564026,0.00072839716],"domain_scores_gemma":[0.9982894,0.0005866783,0.00033233335,0.0002983474,0.00012294746,0.00037028795],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003776198,0.0003636427,0.00044364284,0.0000026297953,0.0006914169,0.00011923405,0.00029607076,0.00017346336,0.004054962],"category_scores_gemma":[0.00031637552,0.00028609307,0.0003047087,0.00055224105,0.0004695458,0.00018600523,0.000024080493,0.00049252267,0.00014435909],"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":[0.00034693087,0.00070328446,0.17024103,0.00007942913,0.00030047828,0.000058788944,0.0019385469,0.62206185,0.028899543,0.000056455705,0.061950617,0.11336303],"study_design_scores_gemma":[0.00060470606,0.0013742938,0.02683476,0.000025242349,0.000067730616,0.0000150100905,0.003639513,0.961603,0.001112497,0.00010216075,0.0038347787,0.0007862962],"about_ca_topic_score_codex":0.0064733694,"about_ca_topic_score_gemma":0.00012678764,"teacher_disagreement_score":0.33954114,"about_ca_system_score_codex":0.000038477257,"about_ca_system_score_gemma":0.00006836988,"threshold_uncertainty_score":0.9999591},"labels":[],"label_agreement":null},{"id":"W2788495794","doi":"","title":"Consistency of low-frequency rotation of surface winds over Canada","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Meteorological Phenomena and Simulations","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":"Atomic Energy (Canada)","funders":"","keywords":"Consistency (knowledge bases); Rotation (mathematics); Geodesy; Meteorology; Environmental science; Geography; Geology; Climatology; Atmospheric sciences; Mathematics; Geometry","score_opus":0.009999316170297113,"score_gpt":0.2108184131349076,"score_spread":0.20081909696461048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2788495794","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":[0.9927252,0.00022546516,0.0001196912,0.00033809175,0.00009076829,0.00026112498,0.00018396172,0.00003087133,0.0060248603],"genre_scores_gemma":[0.9864889,0.000030407193,0.012519108,0.0008282218,0.000042567375,0.0000025705592,0.000051789448,0.0000042017195,0.000032243068],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977092,0.00030436815,0.000690941,0.00034581343,0.00049801834,0.0004516527],"domain_scores_gemma":[0.997425,0.0013631607,0.0005495686,0.00020301262,0.00025981932,0.00019944506],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00051468617,0.00020529836,0.0005589147,0.000018552015,0.00017760774,0.000015399331,0.00029329144,0.000099073106,0.0034232126],"category_scores_gemma":[0.0005704176,0.000149279,0.00020842637,0.0005666596,0.0007452117,0.00019279473,0.000030590993,0.00022541526,0.000015340984],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028829847,0.00006178523,0.95425403,0.00004743533,0.000086311426,0.0000021038325,0.00052780285,0.028690474,0.004313868,0.00029227772,0.00056268094,0.011132396],"study_design_scores_gemma":[0.00025730114,0.00059893687,0.9821621,0.00001599081,0.000028602479,0.0000011188432,0.003306762,0.011001382,0.00024887576,0.0020351978,0.00010237268,0.00024133807],"about_ca_topic_score_codex":0.4706445,"about_ca_topic_score_gemma":0.027795501,"teacher_disagreement_score":0.442849,"about_ca_system_score_codex":0.00001658191,"about_ca_system_score_gemma":0.00015372918,"threshold_uncertainty_score":0.9974878},"labels":[],"label_agreement":null},{"id":"W2788903004","doi":"","title":"High Resolution On-Line Air-Quality Model Simulations of Canada's Oil Sands","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Reservoir Engineering and Simulation Methods","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":"Oil sands; Line (geometry); Environmental science; Quality (philosophy); Geology; Geography; Archaeology; Mathematics; Physics; Asphalt; Geometry","score_opus":0.024115937421291766,"score_gpt":0.2790485450329463,"score_spread":0.25493260761165454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2788903004","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":[0.9142603,0.000057496407,0.08338472,0.00051089533,0.00011336193,0.00009098733,0.00012546907,0.00028639619,0.0011703373],"genre_scores_gemma":[0.8873334,0.00003032202,0.11201117,0.00033710786,0.000086757325,0.000023164252,0.000027602246,0.000028293345,0.00012220955],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979464,0.000187237,0.0006201925,0.00029177414,0.0004537291,0.00050068315],"domain_scores_gemma":[0.9981342,0.0010195669,0.00015437548,0.00029329647,0.00020421417,0.00019433982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006527247,0.0002601124,0.0005170255,0.000035433124,0.00016267003,0.000015886395,0.00021942207,0.00013618925,0.0000645715],"category_scores_gemma":[0.0007325493,0.00022787975,0.00018972786,0.00046961894,0.00016025138,0.00011671143,0.000042580585,0.0003946829,0.000003384487],"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":[0.000011457905,0.000025511223,0.0001362992,0.000035691563,0.00004991584,3.1696467e-7,0.00015387,0.99036133,0.0037670166,0.00031026392,0.00096665026,0.004181696],"study_design_scores_gemma":[0.0002940374,0.000109297594,0.0033454169,0.000018523977,0.0000134922975,3.087014e-7,0.00033715545,0.9938696,0.0010656558,0.0003619718,0.0003241569,0.00026035414],"about_ca_topic_score_codex":0.022491137,"about_ca_topic_score_gemma":0.0008327997,"teacher_disagreement_score":0.028626453,"about_ca_system_score_codex":0.00017052551,"about_ca_system_score_gemma":0.000059710204,"threshold_uncertainty_score":0.9840182},"labels":[],"label_agreement":null},{"id":"W2791343169","doi":"","title":"Modeling of Ice Clouds Observed during ISDAC in Polluted and Pristine Air Masses","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Atmospheric aerosols and clouds","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":"Université du Québec","funders":"","keywords":"Environmental science; Atmospheric sciences; Astrobiology; Meteorology; Geology; Geography; Physics","score_opus":0.011330158446960338,"score_gpt":0.21456358502988687,"score_spread":0.20323342658292654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791343169","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":[0.9971639,0.00011534791,0.0008333368,0.0005972943,0.000025230347,0.00024440276,0.000006931543,0.00007475434,0.000938799],"genre_scores_gemma":[0.95361465,0.00008816045,0.04554015,0.0005851258,0.000042093172,0.000035202276,0.0000021143712,0.00001900247,0.00007348199],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978884,0.00015771341,0.0005200375,0.00052652106,0.00032129596,0.00058603415],"domain_scores_gemma":[0.99917173,0.00020906956,0.00023463018,0.0001883614,0.000025756655,0.00017043769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004523589,0.00025296424,0.00049382914,0.000002138215,0.00017985525,0.000018839317,0.00027169386,0.00012175446,0.00032013436],"category_scores_gemma":[0.00027367266,0.00020439582,0.00014685544,0.0005755641,0.0007699417,0.00022354418,0.00050279783,0.00031312913,0.000019180094],"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":[0.00009976433,0.0002997854,0.78079355,0.00006849636,0.00006543889,0.000009711836,0.0042528627,0.11636089,0.08579554,0.00006661573,0.00013098138,0.01205636],"study_design_scores_gemma":[0.00069692597,0.00041070505,0.7688874,0.000045799847,0.000028377755,0.000005544847,0.014728524,0.21347089,0.00078797335,0.00031975523,0.00010510597,0.0005129829],"about_ca_topic_score_codex":0.0054555624,"about_ca_topic_score_gemma":0.000058369205,"teacher_disagreement_score":0.09711001,"about_ca_system_score_codex":0.00009282156,"about_ca_system_score_gemma":0.000008275841,"threshold_uncertainty_score":0.83350194},"labels":[],"label_agreement":null},{"id":"W2792640202","doi":"","title":"Probing Uncertainty in Aerosol Radiative Forcing: Sensitivity Analysis with a Single Climate Model","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Advanced Aircraft Design and Technologies","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 Waterloo","funders":"","keywords":"Climate sensitivity; Radiative forcing; Aerosol; Climatology; Forcing (mathematics); Environmental science; Sensitivity (control systems); Climate model; Atmospheric sciences; Meteorology; Climate change; Geography; Geology; Oceanography","score_opus":0.01147184001236297,"score_gpt":0.22471338933168641,"score_spread":0.21324154931932343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792640202","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":[0.944534,0.000013257093,0.053042095,0.0005461187,0.0000070064016,0.00045867593,0.000017289676,0.00030219273,0.0010793434],"genre_scores_gemma":[0.9048714,0.000024462917,0.09415072,0.0007724127,0.000010990118,0.00012629741,0.0000071689387,0.000017164792,0.000019392413],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973092,0.00023362273,0.00035906423,0.00079883676,0.0003575259,0.0009417572],"domain_scores_gemma":[0.99877214,0.00046195835,0.00032389196,0.00027249535,0.000033077064,0.00013641671],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069027493,0.00033225195,0.00064516056,0.000047763093,0.00029139314,0.000050585928,0.00023302065,0.00013544723,0.00008031677],"category_scores_gemma":[0.0002629062,0.00023844009,0.00025890113,0.0019394644,0.0013744313,0.00046229476,0.0003715382,0.00046185788,0.00003546499],"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":[0.000044005472,0.00015559306,0.08576836,0.0000054814927,0.00010085888,0.000011641868,0.0019409948,0.8746222,0.023101948,0.00003667182,0.000031155076,0.014181066],"study_design_scores_gemma":[0.00048643877,0.0007495931,0.02565992,0.000023725115,0.00014108141,0.000003701761,0.01449336,0.9544671,0.002261538,0.0009878405,0.000030205192,0.00069545873],"about_ca_topic_score_codex":0.0013679574,"about_ca_topic_score_gemma":0.00035235492,"teacher_disagreement_score":0.07984491,"about_ca_system_score_codex":0.00035836722,"about_ca_system_score_gemma":0.00000920926,"threshold_uncertainty_score":0.9723305},"labels":[],"label_agreement":null},{"id":"W2802418897","doi":"","title":"Automating NEXRAD Data Use in GIS and Hydrologic and Hydraulic Applications","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Environmental Monitoring and Data Management","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":"Esri (Canada)","funders":"","keywords":"Environmental science; Hydrology (agriculture); Remote sensing; Vflo; Hydrological modelling; Geographic information system; Meteorology; Engineering; Geology; Runoff curve number; Geography; Cartography; Climatology; Geotechnical engineering; Drainage basin","score_opus":0.024428386332053745,"score_gpt":0.2319467668579811,"score_spread":0.20751838052592736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802418897","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":[0.99746835,0.0005294957,0.0002295094,0.0007354095,0.000023586255,0.0003329342,0.00011204037,0.00008945793,0.0004792273],"genre_scores_gemma":[0.96530074,0.0005221433,0.03268133,0.001222632,0.00006765991,0.000020674306,0.00016066509,0.0000041175786,0.000020029873],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998381,0.00015399294,0.00026683498,0.00062080193,0.00017811623,0.00039920624],"domain_scores_gemma":[0.9987752,0.0005948047,0.00013613635,0.00033039573,0.0000072071975,0.00015630155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056666275,0.00017276227,0.0002470662,0.000024902283,0.0002551372,0.00015417086,0.00032603866,0.00006460949,0.000104710314],"category_scores_gemma":[0.00015014947,0.00013480677,0.000029881952,0.00024444677,0.0005491499,0.00071845646,0.00032881508,0.00023717034,0.000048620477],"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":[0.000003035888,0.000019434687,0.83244216,0.000010780955,0.000013414291,0.0000020579914,0.00012867921,0.00029715084,0.000050209932,0.000011674956,0.000119074604,0.1669023],"study_design_scores_gemma":[0.00012965206,0.00015909366,0.94926417,0.000009466591,0.000014678896,0.000004821087,0.0020084253,0.04599969,0.0000036937943,0.00017363805,0.0020538059,0.0001788693],"about_ca_topic_score_codex":0.009315125,"about_ca_topic_score_gemma":0.00012714937,"teacher_disagreement_score":0.16672343,"about_ca_system_score_codex":0.0000072827843,"about_ca_system_score_gemma":0.0000037013826,"threshold_uncertainty_score":0.9972819},"labels":[],"label_agreement":null},{"id":"W2805895979","doi":"","title":"Long-term comparison of temperatures observed from multiple sensors at the New Brunswick, NJ NWS Cooperative Weather Station","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","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":"Term (time); Meteorology; Environmental science; Remote sensing; Telecommunications; Computer science; Geography; Physics","score_opus":0.03288248168719402,"score_gpt":0.2620817581641756,"score_spread":0.2291992764769816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805895979","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":[0.9959851,0.0008218875,0.0003839469,0.0013627082,0.000107723645,0.00054776575,0.00019240707,0.00008273562,0.0005157454],"genre_scores_gemma":[0.9914223,0.00006303821,0.006025244,0.0015993179,0.00018310799,0.000005986574,0.00035510567,0.000008586587,0.0003373329],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970205,0.0007918573,0.00064911257,0.00054302247,0.00045852276,0.0005369724],"domain_scores_gemma":[0.995239,0.0035575954,0.00047051985,0.00028115683,0.00018507785,0.0002666076],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004524492,0.00031960764,0.00064626086,0.000019318844,0.0006299266,0.00009765612,0.0003982281,0.00014758922,0.0058205156],"category_scores_gemma":[0.00070118264,0.00018049097,0.00029384624,0.00045431717,0.0008805417,0.00023808055,0.00007771811,0.00043583676,0.00020496015],"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":[0.00008664393,0.000060076014,0.94970214,0.0000048043376,0.00011155663,0.0000012179569,0.0033159168,0.03444767,0.0028900618,0.000022859007,0.0017556123,0.00760142],"study_design_scores_gemma":[0.00041762873,0.00061356917,0.9706434,0.0000106952775,0.000047559955,7.234215e-7,0.005254451,0.02146657,0.0006075433,0.00023557976,0.0004389461,0.00026335754],"about_ca_topic_score_codex":0.018238638,"about_ca_topic_score_gemma":0.004933779,"teacher_disagreement_score":0.020941216,"about_ca_system_score_codex":0.000018954297,"about_ca_system_score_gemma":0.000064366344,"threshold_uncertainty_score":0.9950883},"labels":[],"label_agreement":null},{"id":"W2807583369","doi":"","title":"Estimation of dry deposition of trace elements and polycyclic aromatic compounds in the Canadian Oil Sands Region","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","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":"Oil sands; Environmental science; Environmental chemistry; Deposition (geology); TRACE (psycholinguistics); Mineralogy; Chemistry; Geology; Archaeology; Geography; Asphalt; Paleontology; Sediment","score_opus":0.009776331352806202,"score_gpt":0.22408014420087657,"score_spread":0.21430381284807037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807583369","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":[0.9970792,0.00014292281,0.00094449887,0.000632048,0.000013549904,0.000085301246,0.0000027863748,0.00002789597,0.0010718313],"genre_scores_gemma":[0.994139,0.00011964219,0.0054776985,0.00019363365,0.00001409012,0.000030307914,0.000014044742,0.000007614987,0.00000392329],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989013,0.00015928378,0.00039910863,0.00012364777,0.0002032285,0.00021343373],"domain_scores_gemma":[0.9994909,0.00016535913,0.000140621,0.000108686705,0.000016608348,0.00007782347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038436305,0.00011336746,0.00026883648,0.000063187086,0.000095714706,0.000025039435,0.00012510641,0.00007341635,0.0000060206376],"category_scores_gemma":[0.000080384176,0.00008157063,0.00009562555,0.00051053654,0.00021870204,0.0001370332,0.000013599936,0.0001616933,0.0000015154003],"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":[0.000050912327,0.00042982504,0.11621233,0.0005694941,0.0007625277,0.000014427738,0.054529976,0.21108669,0.04567292,0.00026440102,0.0013149293,0.56909156],"study_design_scores_gemma":[0.0003149476,0.0001911981,0.05008664,0.000059686627,0.000059196944,0.000003152222,0.013531647,0.93437594,0.00078861025,0.0003601638,0.000042431362,0.00018639909],"about_ca_topic_score_codex":0.022634398,"about_ca_topic_score_gemma":0.005183575,"teacher_disagreement_score":0.72328925,"about_ca_system_score_codex":0.000054365413,"about_ca_system_score_gemma":0.0000131893385,"threshold_uncertainty_score":0.98387396},"labels":[],"label_agreement":null},{"id":"W2807679546","doi":"","title":"Windfarms suppression in dual polarization radar","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Radar Systems and Signal Processing","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":"Lockheed Martin (Canada)","funders":"","keywords":"Remote sensing; Radar; Geology; Environmental science; Computer science; Telecommunications","score_opus":0.006483424870812497,"score_gpt":0.20837861706301206,"score_spread":0.20189519219219956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807679546","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":[0.9921827,0.00037360296,0.0045883395,0.00028070767,0.000173897,0.00024442608,0.00000908362,0.0003666257,0.0017806563],"genre_scores_gemma":[0.9882488,0.000030882133,0.0110236015,0.00036812102,0.0001995712,0.000035714147,0.000012674876,0.00003496893,0.00004564103],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981975,0.00014075945,0.00046658708,0.00032663596,0.00030267934,0.0005658703],"domain_scores_gemma":[0.99936336,0.00018168168,0.00011248031,0.00013741628,0.00006323128,0.0001418376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046345097,0.00024857392,0.00041180148,0.000041666968,0.00015799412,0.00008731633,0.00014193534,0.00016529928,0.00011030151],"category_scores_gemma":[0.00012736113,0.00019955306,0.00014634863,0.00055942155,0.00017886318,0.000409277,0.00006864709,0.0004474731,0.000049321112],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049845836,0.00024862742,0.0502916,0.00034946442,0.00019606955,0.000057078087,0.010350896,0.039349943,0.6674939,0.0003068704,0.0106744785,0.22063127],"study_design_scores_gemma":[0.003977435,0.0017866293,0.30889878,0.0009503163,0.00012309715,0.00014959995,0.07463848,0.54706085,0.030343508,0.0031438118,0.024063807,0.0048636897],"about_ca_topic_score_codex":0.0004802236,"about_ca_topic_score_gemma":0.0000052328305,"teacher_disagreement_score":0.63715035,"about_ca_system_score_codex":0.00008557712,"about_ca_system_score_gemma":0.000013144809,"threshold_uncertainty_score":0.8137538},"labels":[],"label_agreement":null},{"id":"W2884027662","doi":"","title":"The Gaussian Predictability of Wind Speeds","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Wind and Air Flow 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 Victoria","funders":"","keywords":"Predictability; Meteorology; Environmental science; Computer science; Climatology; Mathematics; Statistics; Geography; Geology","score_opus":0.007250975611387194,"score_gpt":0.21944826490825628,"score_spread":0.2121972892968691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884027662","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":[0.9836192,0.00008253513,0.00005551294,0.0034589248,0.000066642526,0.00025028188,0.000012843471,0.00006219009,0.012391853],"genre_scores_gemma":[0.9948239,0.00007376702,0.004004146,0.0007335158,0.000105986976,0.000022430444,0.0000012593383,0.000009065999,0.00022593091],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99806035,0.00020392313,0.00038253918,0.00037484788,0.0004251287,0.0005532246],"domain_scores_gemma":[0.9987037,0.00063050207,0.00024141163,0.00025901117,0.00002880893,0.00013652541],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008421969,0.00019214132,0.00032502293,0.0000043236505,0.00057931914,0.000030881896,0.0004258927,0.00006707067,0.0007455963],"category_scores_gemma":[0.00043391125,0.00010630298,0.0002747823,0.0003945012,0.003393948,0.00015511684,0.00051739236,0.00026302424,0.0001548446],"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":[0.000037265756,0.00026908488,0.8139048,0.000015741083,0.00013948196,0.0000015470114,0.004406314,0.0005494066,0.013249549,0.00016617627,0.023608334,0.14365229],"study_design_scores_gemma":[0.00018747295,0.00055420084,0.9647105,0.000009628901,0.000026522615,0.0000019696768,0.016009372,0.0005972544,0.00069128384,0.0010351797,0.015927143,0.0002495002],"about_ca_topic_score_codex":0.0010258985,"about_ca_topic_score_gemma":0.000018572402,"teacher_disagreement_score":0.15080567,"about_ca_system_score_codex":0.000057811198,"about_ca_system_score_gemma":0.000006596507,"threshold_uncertainty_score":0.99931824},"labels":[],"label_agreement":null},{"id":"W2884287609","doi":"","title":"Optimization of satellite radiance assimilation at the Canadian Meteorological Center","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","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":"Radiance; Satellite; Remote sensing; Meteorology; Data assimilation; Environmental science; Earth observation satellite; Center (category theory); Climatology; Geography; Geology; Engineering; Aerospace engineering","score_opus":0.017484533852214986,"score_gpt":0.22364555755761445,"score_spread":0.20616102370539946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884287609","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":[0.967069,0.0007099208,0.0010634655,0.0057724444,0.00018437869,0.00075506687,0.00025513186,0.00010583761,0.024084806],"genre_scores_gemma":[0.97684747,0.00021487776,0.017818492,0.004629006,0.00010580849,0.000015857651,0.0002296357,0.0000073736055,0.00013144892],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969063,0.0006487162,0.00062206946,0.0005333216,0.00047528444,0.0008143079],"domain_scores_gemma":[0.9973206,0.001301211,0.00041529234,0.00030052898,0.0002180498,0.00044431112],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001082297,0.0002883505,0.00047814156,0.00004890421,0.0009881172,0.00009026316,0.00045894636,0.00021880594,0.008600638],"category_scores_gemma":[0.000595703,0.00016988978,0.0003179493,0.0007303474,0.0012921774,0.00028467504,0.000058622252,0.00039087114,0.0002509263],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006529453,0.000052219213,0.53949547,0.0000106853695,0.00009985226,0.0000031063798,0.00076662056,0.3909067,0.0001889782,0.00021359006,0.0011937065,0.067003794],"study_design_scores_gemma":[0.00030658074,0.00054553634,0.8860399,0.00000730497,0.00003911407,0.00000576928,0.0008697221,0.10260321,0.000028781902,0.00094780157,0.008271345,0.00033491376],"about_ca_topic_score_codex":0.04616472,"about_ca_topic_score_gemma":0.026787378,"teacher_disagreement_score":0.34654444,"about_ca_system_score_codex":0.000057561792,"about_ca_system_score_gemma":0.000059203863,"threshold_uncertainty_score":0.99230564},"labels":[],"label_agreement":null},{"id":"W2885666605","doi":"","title":"METIS: Modernization of the Royal Netherlands Air Force Meteorological Workstation System","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Aerospace and Aviation Technology","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":"Metis; Modernization theory; Workstation; Meteorology; Aeronautics; Geography; Environmental science; Computer science; Engineering; Political science; World Wide Web; Operating system","score_opus":0.004558240364553146,"score_gpt":0.18839502117896512,"score_spread":0.18383678081441196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885666605","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":[0.9194711,0.00020407919,0.07700484,0.0006867245,0.00014549254,0.00041353982,0.000018380153,0.00079736597,0.0012585131],"genre_scores_gemma":[0.9883964,0.00003413644,0.010818102,0.00040595618,0.00008966018,0.00012279933,0.000011336578,0.00003059514,0.00009103021],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99820143,0.00020831372,0.0004980844,0.00031341895,0.00031356275,0.00046516687],"domain_scores_gemma":[0.99886996,0.0003082387,0.00029448536,0.00027723802,0.00016781251,0.00008224387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003721622,0.0002596183,0.00047281192,0.000027124255,0.00019899632,0.000023968345,0.00040397618,0.0002918601,0.00006065595],"category_scores_gemma":[0.00022072057,0.00017118808,0.00028654616,0.00064333715,0.00044598195,0.00014224426,0.00013256868,0.00043408258,0.00002658885],"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":[0.000051254556,0.00014961827,0.03928238,0.00023867343,0.00054261985,0.000002529579,0.0037310645,0.84057665,0.02985748,0.004780997,0.0068542976,0.07393242],"study_design_scores_gemma":[0.000857172,0.0007667607,0.082457535,0.00011151574,0.00018785839,0.000008965682,0.025362702,0.8736401,0.013189871,0.0015854548,0.00096733915,0.00086471846],"about_ca_topic_score_codex":0.000116508025,"about_ca_topic_score_gemma":0.000005168543,"teacher_disagreement_score":0.0730677,"about_ca_system_score_codex":0.00009808565,"about_ca_system_score_gemma":0.00000939971,"threshold_uncertainty_score":0.6980847},"labels":[],"label_agreement":null},{"id":"W2885774622","doi":"","title":"Approximated Equations of Urban Climate by Scale Analysis","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Diverse Topics in Contemporary Research","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":"Concordia University","funders":"","keywords":"Scale (ratio); Scale analysis (mathematics); Environmental science; Climatology; Geography; Meteorology; Econometrics; Mathematics; Geology; Cartography","score_opus":0.02727961271086843,"score_gpt":0.317862222642241,"score_spread":0.2905826099313726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885774622","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":[0.93820834,0.00017921548,0.002252093,0.0027298273,0.00006365825,0.00057704677,0.00018736548,0.00023933555,0.055563092],"genre_scores_gemma":[0.9881394,0.000118629876,0.010384374,0.00047022026,0.00009140904,0.00007326526,0.00004011748,0.00001114815,0.0006714292],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99655,0.0008623736,0.0004800552,0.0004587202,0.0008637711,0.0007850606],"domain_scores_gemma":[0.9973548,0.0012541817,0.00038975634,0.00026146747,0.00045992245,0.00027988877],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0024246138,0.00017229664,0.00055234594,0.00007256098,0.0007479281,0.000108457476,0.00063528825,0.00015156194,0.0011709845],"category_scores_gemma":[0.0012020204,0.0001502917,0.0004944836,0.0026179682,0.002414965,0.0003639161,0.00025326308,0.00032503335,0.00008357076],"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":[0.000077180746,0.001186561,0.80274475,0.000072877316,0.002386174,0.0000045964466,0.061624706,0.00037558054,0.008492222,0.024026992,0.062039804,0.036968578],"study_design_scores_gemma":[0.002049708,0.0022460406,0.07753568,0.00008341743,0.0016886155,6.980524e-7,0.7840929,0.034605045,0.0019474674,0.0048226556,0.08814851,0.0027792398],"about_ca_topic_score_codex":0.008915683,"about_ca_topic_score_gemma":0.00009530393,"teacher_disagreement_score":0.72520906,"about_ca_system_score_codex":0.00009492665,"about_ca_system_score_gemma":0.00007338174,"threshold_uncertainty_score":0.9997421},"labels":[],"label_agreement":null},{"id":"W2886837614","doi":"","title":"Development of Snow Cover Indicators for Canada","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","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 cover; Snow; Cover (algebra); Geography; Physical geography; Meteorology; Engineering","score_opus":0.01365437255141988,"score_gpt":0.214161736627839,"score_spread":0.20050736407641911,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886837614","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":[0.9970262,0.0001395696,0.0010372504,0.0005997756,0.00010704713,0.00026703512,0.000108696106,0.000025263224,0.0006891833],"genre_scores_gemma":[0.88836527,0.000022322693,0.109659374,0.0017569358,0.00006452728,0.000018558983,0.000045510085,0.0000032694697,0.00006420622],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987208,0.000034861812,0.0003507773,0.0002394541,0.00026171384,0.00039238334],"domain_scores_gemma":[0.99868697,0.0007524414,0.00025050642,0.00008729765,0.00009732666,0.00012545568],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00027964648,0.0001369744,0.00029811892,0.000007623713,0.00036369418,0.000015231164,0.00019554149,0.000043772394,0.0010232691],"category_scores_gemma":[0.00030069408,0.000099540506,0.000115389485,0.00039363978,0.00024206574,0.000072823736,0.00003155012,0.0000994157,0.000013610499],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022140672,0.000036102967,0.4895023,0.000028053075,0.00017954937,5.5627135e-7,0.0022690669,0.0014077154,0.00008492258,0.00004490892,0.02366161,0.48276305],"study_design_scores_gemma":[0.00015712282,0.00015135517,0.8826585,0.000007992063,0.000015905718,4.6984275e-7,0.0140452115,0.001637923,0.00013532599,0.00004715233,0.10094453,0.00019852979],"about_ca_topic_score_codex":0.22956982,"about_ca_topic_score_gemma":0.07572849,"teacher_disagreement_score":0.48256454,"about_ca_system_score_codex":0.00001916573,"about_ca_system_score_gemma":0.00018069362,"threshold_uncertainty_score":0.9998899},"labels":[],"label_agreement":null},{"id":"W2887569607","doi":"","title":"GEM-MACH10: Implementation of a New Higher-Resolution Version of the Canadian Operational Air Quality Forecast Model","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","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":"Quality (philosophy); Environmental science; Air quality index; Computer science; Meteorology; Geography","score_opus":0.02086532896236109,"score_gpt":0.2718675717895181,"score_spread":0.251002242827157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887569607","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":[0.9924113,0.000016865573,0.0003591655,0.005215232,0.000048280774,0.0002547696,0.00007974064,0.00001507062,0.001599534],"genre_scores_gemma":[0.9884847,0.00000766425,0.009758549,0.0015115344,0.00004772126,0.000017151368,0.000011192345,0.000005814376,0.0001557103],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985064,0.00014077192,0.0003546286,0.00025282305,0.00041848505,0.0003268694],"domain_scores_gemma":[0.9993246,0.00008883669,0.00027008407,0.00013251287,0.00004890308,0.00013501571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042388903,0.00013344135,0.00023204055,0.000009825598,0.00043157078,0.000010689533,0.00024243073,0.00006387669,0.0007924001],"category_scores_gemma":[0.00007173666,0.00008905545,0.00020251499,0.00030254896,0.00065405754,0.00018885518,0.00023471251,0.00013905122,0.000021721784],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047964848,0.00018462258,0.7279184,0.000031177806,0.00015596244,3.6936316e-7,0.010393716,0.08766613,0.052730568,0.0012440464,0.05771028,0.06191678],"study_design_scores_gemma":[0.00034787963,0.00020204451,0.9766021,0.000009813983,0.000025376727,2.946182e-7,0.006433169,0.012295303,0.0014659454,0.00071041373,0.0017287316,0.00017893795],"about_ca_topic_score_codex":0.36730307,"about_ca_topic_score_gemma":0.025380393,"teacher_disagreement_score":0.34192267,"about_ca_system_score_codex":0.00021748593,"about_ca_system_score_gemma":0.00006772907,"threshold_uncertainty_score":0.99240386},"labels":[],"label_agreement":null},{"id":"W2902338459","doi":"","title":"Further Developments of the Canadian Airport Nowcasting System (CAN-Now)","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Air Traffic 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":"Nowcasting; Geography; Meteorology","score_opus":0.006397721049662306,"score_gpt":0.1767131958517167,"score_spread":0.1703154748020544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902338459","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":[0.96108484,0.00007227541,0.0029797477,0.0009959579,0.00038675335,0.0007042245,0.000022345303,0.0005430324,0.03321081],"genre_scores_gemma":[0.98198235,0.000013834482,0.017357687,0.000382544,0.000070088834,0.000046487457,0.000007682874,0.00002705957,0.0001122653],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985523,0.000070598035,0.00037749534,0.00022261917,0.000276993,0.00049997],"domain_scores_gemma":[0.9993166,0.00008026242,0.00016075686,0.0001756742,0.00011818778,0.00014854988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036811014,0.00020469315,0.00028254837,0.000030803847,0.00027908347,0.000040202103,0.00033456535,0.00010194487,0.00008027925],"category_scores_gemma":[0.00007428698,0.00014679185,0.0001627839,0.0005254833,0.00022411268,0.00009763749,0.0000912788,0.00023174378,0.000032680528],"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":[0.000014836606,0.00010190673,0.21679948,0.0007498838,0.0011460647,0.000012234932,0.015348785,0.59612143,0.0019009652,0.0014359116,0.02894929,0.13741921],"study_design_scores_gemma":[0.00091869576,0.00026100062,0.27887422,0.0003989757,0.00021296038,0.000013732253,0.057546332,0.64518327,0.0009091838,0.00008637578,0.013863745,0.0017315152],"about_ca_topic_score_codex":0.0069626924,"about_ca_topic_score_gemma":0.0040761037,"teacher_disagreement_score":0.1356877,"about_ca_system_score_codex":0.00022100858,"about_ca_system_score_gemma":0.000044382432,"threshold_uncertainty_score":0.99965},"labels":[],"label_agreement":null},{"id":"W2981196952","doi":"","title":"Extreme Learning Machines for Environmental Problems","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Machine Learning and ELM","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":"University of British Columbia","funders":"","keywords":"Computer science; Artificial intelligence","score_opus":0.013321237447201064,"score_gpt":0.22736573153883236,"score_spread":0.2140444940916313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981196952","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":[0.69424057,0.00033973643,0.293957,0.005805921,0.00019326013,0.00077375775,0.000011221015,0.0010018934,0.0036766268],"genre_scores_gemma":[0.8012856,0.00003546658,0.19552799,0.0017662504,0.00019945364,0.00019753809,0.000013180623,0.000022203136,0.0009522659],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974945,0.00029934847,0.0003669174,0.00072870386,0.00033712655,0.0007733838],"domain_scores_gemma":[0.99850714,0.00065202935,0.00030999086,0.00027465235,0.00004561877,0.00021057125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008610042,0.00029699263,0.00040003753,0.000027871676,0.000650704,0.00018926084,0.0007882175,0.00010472134,0.00011012719],"category_scores_gemma":[0.00036187205,0.00022977235,0.00037391504,0.0002938687,0.00032397476,0.00040093763,0.0004456415,0.00044266574,0.00012380465],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011200808,0.00020216548,0.021310158,0.00003261417,0.00009037905,0.0000020028658,0.0032294241,0.0049555534,0.011380584,0.0010865892,0.0025474697,0.95515186],"study_design_scores_gemma":[0.0010927595,0.002729538,0.04170753,0.00003750626,0.00003952512,0.000028801722,0.0037983733,0.8339662,0.00030157785,0.0039426424,0.11111709,0.0012384859],"about_ca_topic_score_codex":0.00023004504,"about_ca_topic_score_gemma":0.0000014247527,"teacher_disagreement_score":0.9539134,"about_ca_system_score_codex":0.000049795257,"about_ca_system_score_gemma":0.000013482323,"threshold_uncertainty_score":0.9369845},"labels":[],"label_agreement":null},{"id":"W3037837238","doi":"","title":"The Temporal Autocorrelation Structure of Sea Surface Winds","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Ocean Waves and Remote Sensing","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":"Extratropical cyclone; Thermal wind; Geology; Zonal and meridional; Scatterometer; Climatology; Global wind patterns; Atmospheric sciences; Wind stress; Meteorology; Wind speed; Wind shear; Physics; Oceanography","score_opus":0.006289954959204334,"score_gpt":0.20304821946052368,"score_spread":0.19675826450131934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037837238","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":[0.9969982,0.00020925309,0.00006657341,0.0009925992,0.00017015287,0.00023714881,0.000052892447,0.00005733098,0.0012158732],"genre_scores_gemma":[0.9789174,0.00004414081,0.0203407,0.00043576868,0.0001406315,2.4405612e-8,0.000035535333,0.000004903167,0.00008087564],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983227,0.0002471144,0.0003514906,0.0002777785,0.00034479974,0.00045610633],"domain_scores_gemma":[0.99852824,0.00071478984,0.0003466022,0.00016384164,0.000118441516,0.00012806285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004211839,0.00017678474,0.00028252747,0.000008956306,0.0005307372,0.00007186964,0.00023793573,0.0001131232,0.00029855923],"category_scores_gemma":[0.0001737867,0.00009641096,0.00020639441,0.0003868016,0.00083289953,0.00017232203,0.000034747234,0.0003520416,0.000030922387],"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":[0.00004963683,0.00002048623,0.5931276,0.00001893437,0.00011223962,0.0000031849959,0.0015724598,0.03487291,0.0020474987,0.000046449768,0.0023080013,0.3658206],"study_design_scores_gemma":[0.00020160283,0.0005839053,0.7527513,0.000018833678,0.000029474946,0.000014151752,0.011066516,0.23080742,0.0003585494,0.0012554734,0.00259935,0.00031341516],"about_ca_topic_score_codex":0.005125065,"about_ca_topic_score_gemma":0.00012977782,"teacher_disagreement_score":0.3655072,"about_ca_system_score_codex":0.000006630358,"about_ca_system_score_gemma":0.000026575763,"threshold_uncertainty_score":0.7747599},"labels":[],"label_agreement":null},{"id":"W3111159367","doi":"","title":"Reformulation of the Drought Code in the Canadian Fire Weather Index System Implemented in New Zealand","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","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":"Index (typography); Meteorology; Code (set theory); Geography; Climatology; Environmental science; Computer science; Geology; Programming language","score_opus":0.008081128983939633,"score_gpt":0.22879512156581797,"score_spread":0.22071399258187832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111159367","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":[0.9915782,0.000017724095,0.00002389834,0.005084422,0.000019948524,0.00031522053,0.000009906373,0.000013875306,0.0029367723],"genre_scores_gemma":[0.99747086,0.0000061264777,0.00042914596,0.0018540923,0.000030290235,0.000029777217,0.0000052900264,0.0000065786408,0.00016784777],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980363,0.0004876508,0.00040220795,0.000285316,0.00030828765,0.00048023922],"domain_scores_gemma":[0.9992188,0.00019573291,0.00022813036,0.00024629096,0.000011984846,0.00009902027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011203282,0.0001481504,0.00028200718,0.000019783798,0.000239577,0.000020138967,0.00048413555,0.000134806,0.00042847072],"category_scores_gemma":[0.00010998942,0.000078790064,0.00016447972,0.0010561789,0.00045554552,0.00013729998,0.00013201266,0.00035540707,0.000037233884],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008863291,0.000026603355,0.98665327,0.0000025499164,0.000018333249,0.0000018326847,0.0041602044,0.0038382073,0.0001793754,0.000058613314,0.001499691,0.0035524631],"study_design_scores_gemma":[0.00029976168,0.00008778879,0.96788603,0.000014026345,0.000020612126,0.0000034191255,0.008002843,0.020082239,0.000029794843,0.00034660083,0.003091971,0.00013493969],"about_ca_topic_score_codex":0.6632239,"about_ca_topic_score_gemma":0.486143,"teacher_disagreement_score":0.17708088,"about_ca_system_score_codex":0.00036157083,"about_ca_system_score_gemma":0.000044825898,"threshold_uncertainty_score":0.52323353},"labels":[],"label_agreement":null}]}