{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":41,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":41,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"e0fd71dcf707","filters":{"venue":"Weather Climate and Society"}},"results":[{"id":"W2139730594","doi":"10.1175/wcas-d-12-00062.1","title":"Unrealized Potential: A Review of Perceptions and Use of Weather and Climate Information in Agricultural Decision Making","year":2013,"lang":"en","type":"review","venue":"Weather Climate and Society","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":147,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Agriculture; Climate change; Context (archaeology); Environmental resource management; Climate risk; Extreme weather; Business; Environmental planning; Natural resource economics; Geography; Environmental science; Economics; Ecology","authors":[{"name":"Amber Saylor Mase","is_ca":false},{"name":"Linda S. Prokopy","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05284262016940326,"gpt":0.3112278009196995,"spread":0.2583851807502962,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004506036,0.0004013416,0.001357743,0.00002646137,0.0001306668,0.0001337667,0.0001297535,0.000399322,0.0002010927],"category_scores_gemma":[0.00005948933,0.000137851,0.0003852388,0.0003792256,0.0001289363,0.0006123391,0.0002633841,0.0002316506,0.000005425867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003832982,"about_ca_system_score_gemma":0.000006856983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001209106,"about_ca_topic_score_gemma":0.00007245206,"domain_scores_codex":[0.9980406,0.0001423473,0.0009156581,0.0003045494,0.0002382077,0.0003586492],"domain_scores_gemma":[0.9986773,0.0003073859,0.0006895438,0.00009320662,0.0001352195,0.00009734275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008831778,0.00007135729,0.0004198644,0.04091372,0.00006629925,8.399714e-7,0.001171195,1.706837e-7,0.0004855019,0.00007855316,0.0008743548,0.9559093],"study_design_scores_gemma":[0.001083514,0.0004826699,0.1457311,0.3386596,0.001995173,0.0003360005,0.01114608,0.00008675206,0.000003066311,0.0001173897,0.4984637,0.001894901],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.07254269,0.9251465,7.403629e-7,0.00009361612,0.0000379687,0.001205573,0.0008447376,0.00002790226,0.000100257],"genre_scores_gemma":[0.001109251,0.997788,0.0004200177,0.0001687106,0.00003906198,0.00005510026,0.0004043166,0.00000382681,0.00001174026],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9540144,"threshold_uncertainty_score":0.5621399,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1730741918","doi":"10.1175/wcas-d-15-0032.1","title":"A Summary of Recent National-Scale Lightning Fatality Studies","year":2015,"lang":"en","type":"article","venue":"Weather Climate and Society","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":146,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Case fatality rate; Lightning (connector); Geography; Population; Meteorology; Demography; Scale (ratio); Socioeconomics; Environmental health; Medicine; Cartography; Sociology","authors":[{"name":"Ronald L. Holle","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04202253027624747,"gpt":0.2889463715386666,"spread":0.2469238412624191,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009128515,0.00008252973,0.0001575883,0.000004519151,0.0000722498,0.000009846223,0.00006853714,0.00004539735,0.00006227336],"category_scores_gemma":[0.00003343746,0.00006547607,0.00005318233,0.00008975236,0.0001072054,0.0001246454,0.0001683281,0.00005092163,0.00004556671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001308472,"about_ca_system_score_gemma":0.000007584146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001148776,"about_ca_topic_score_gemma":0.00004341528,"domain_scores_codex":[0.9991863,0.00005084656,0.0001555808,0.0001720554,0.0002847085,0.0001505594],"domain_scores_gemma":[0.9996828,0.00005831364,0.00007042117,0.0001009668,0.00002743162,0.0000600196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004649592,0.0003808682,0.7860379,0.0004314191,0.0002791097,0.00000376312,0.08139541,0.0001124092,0.02527061,0.0003905964,0.09616317,0.009488232],"study_design_scores_gemma":[0.006677575,0.001026629,0.44869,0.000655748,0.0002649059,0.00004929317,0.08822876,0.02372706,0.02512565,0.009097732,0.3942101,0.002246612],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972263,0.0006221107,0.00001242295,0.0002550328,0.0001097573,0.0001353519,0.00001720497,0.00002967767,0.02655538],"genre_scores_gemma":[0.9969443,0.00154085,0.000965159,0.0002528321,0.00003668993,0.00001447844,0.000004750358,0.00001030458,0.000230608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.337348,"threshold_uncertainty_score":0.2670037,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2078568216","doi":"10.1175/wcas-d-12-00034.1","title":"“We Have Seen It with Our Own Eyes”: Why We Disagree about Climate Change Visibility","year":2013,"lang":"en","type":"article","venue":"Weather Climate and Society","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":133,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Phenomenon; Climate change; Visibility; Indigenous; Politics; Democracy; Environmental ethics; Scientific consensus; Political science; Sociology; Political economy; Epistemology; Global warming; Geography; Law; Ecology","authors":[{"name":"Peter Rudiak‐Gould","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2591195044130893,"gpt":0.402025438713495,"spread":0.1429059343004057,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009543137,0.0002606901,0.0003132823,0.00002899948,0.001319034,0.0003507932,0.0003419423,0.0002551928,0.001488689],"category_scores_gemma":[0.00001848286,0.0002041999,0.0001926245,0.0001975159,0.0003386497,0.0006643444,0.0002208432,0.0002646549,0.0002991428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001236475,"about_ca_system_score_gemma":0.00002586598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003019299,"about_ca_topic_score_gemma":0.006593286,"domain_scores_codex":[0.9978929,0.0002737756,0.0002988954,0.0004394266,0.0003823191,0.0007126561],"domain_scores_gemma":[0.9987679,0.00009949126,0.0001679386,0.0005671455,0.0001486144,0.000248971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004529536,0.0003411997,0.1529663,0.0003245107,0.00007916877,0.000001444923,0.7734552,5.991394e-7,0.0003686603,0.002885998,0.01585272,0.05367891],"study_design_scores_gemma":[0.001273174,0.0001717878,0.1000873,0.0004156399,0.0001024229,0.000003196125,0.6487418,0.0007541411,0.00001289931,0.001557097,0.2460307,0.0008498646],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7650294,0.002142215,0.00006815839,0.1338946,0.0003155682,0.002357157,0.0002846575,0.0005230628,0.09538518],"genre_scores_gemma":[0.7920696,0.2001758,0.0005303888,0.005308592,0.0004401888,0.0002547936,0.00006814465,0.00004435492,0.00110812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.230178,"threshold_uncertainty_score":0.9999811,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2076676233","doi":"10.1175/wcas-d-12-00028.1","title":"Usable Science? The U.K. Climate Projections 2009 and Decision Support for Adaptation Planning","year":2012,"lang":"en","type":"article","venue":"Weather Climate and Society","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":85,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Natural Environment Research Council; Sight Research UK; Canadian Centre for Applied Research in Cancer Control","keywords":"Credibility; Adaptation (eye); Stakeholder; Sophistication; USable; Knowledge management; Legitimacy; Sociology of scientific knowledge; Competence (human resources); Salience (neuroscience); Computer science; Management science; Political science; Public relations; Psychology; Sociology; Engineering","authors":[{"name":"Samuel Tang","is_ca":false},{"name":"Suraje Dessai","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03202580405027194,"gpt":0.2919476641326233,"spread":0.2599218600823514,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001423714,0.000108573,0.00009818259,0.000009286946,0.001294078,0.00009509405,0.0001065903,0.0000556678,0.000142811],"category_scores_gemma":[0.0000413387,0.00007454152,0.00005617279,0.0001960306,0.0005191455,0.0006399509,0.0001862786,0.00007629977,0.00001548444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001087768,"about_ca_system_score_gemma":0.00001364409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004787096,"about_ca_topic_score_gemma":0.00001850631,"domain_scores_codex":[0.9988232,0.00001302852,0.0001388871,0.0002530394,0.0002148627,0.0005569624],"domain_scores_gemma":[0.9995444,0.0001242288,0.00007131595,0.0001535489,0.00001732411,0.00008912938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000161796,0.0003566374,0.5778421,0.000234647,0.00003002506,9.839536e-7,0.364834,0.0006294384,0.005209164,0.003632879,0.007811401,0.03925696],"study_design_scores_gemma":[0.00139934,0.0003142508,0.5513446,0.00006560508,0.0001117935,0.0000486737,0.3403183,0.03181345,0.0005870147,0.004331764,0.06904408,0.0006211589],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995099,0.0002270297,0.0006379186,0.0001750196,0.0001184688,0.000405737,0.0000388948,0.000029596,0.003268312],"genre_scores_gemma":[0.9933738,0.001081309,0.004715071,0.0004946163,0.00007367203,0.00009271102,0.000005414769,0.00001292689,0.0001505257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06123268,"threshold_uncertainty_score":0.9953133,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2025341750","doi":"10.1175/wcas-d-13-00026.1","title":"The Influence of Previous Disaster Experience and Sociodemographics on Protective Behaviors during Two Successive Tornado Events","year":2013,"lang":"en","type":"article","venue":"Weather Climate and Society","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":76,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Waterloo","funders":"Institute for Catastrophic Loss Reduction","keywords":"Tornado; Storm; Psychology; Demography; Geography; Meteorology; Sociology","authors":[{"name":"Amber Silver","is_ca":true},{"name":"Jean Andrey","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008147029285524307,"gpt":0.2828861176864848,"spread":0.2747390884009605,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002632684,0.0001152245,0.0001191567,0.00001288981,0.001091427,0.0001230459,0.0002090897,0.00005826107,0.00001529298],"category_scores_gemma":[0.00002544133,0.000075961,0.00007196987,0.0001269992,0.0009509833,0.0003721332,0.000133159,0.0001098414,0.0000035325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002078154,"about_ca_system_score_gemma":0.00001242464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006338247,"about_ca_topic_score_gemma":0.00009074991,"domain_scores_codex":[0.9989179,0.00009473278,0.0001611201,0.0002287869,0.0002839425,0.0003134541],"domain_scores_gemma":[0.9995139,0.00009110331,0.0001214888,0.000139363,0.00006228343,0.00007187513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0000257234,0.0001286452,0.4280044,0.0001192643,0.00006593649,0.00000125362,0.5578919,0.00001975535,0.002892204,0.006473667,0.0000490467,0.004328189],"study_design_scores_gemma":[0.0005064013,0.00008672751,0.8215171,0.0001513119,0.00004102473,4.123555e-7,0.1751274,0.00003768106,0.0001380517,0.00186429,0.0002819724,0.0002476371],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976779,0.0001100829,0.000004855305,0.0002680876,0.00004289853,0.0006220159,0.000002819524,0.00002156841,0.001249743],"genre_scores_gemma":[0.997895,0.001423182,0.0000263789,0.00008354251,0.00002597961,0.0001266766,2.573943e-7,0.000007503595,0.0004114658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3935127,"threshold_uncertainty_score":0.8394483,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2101869302","doi":"10.1175/wcas-d-13-00052.1","title":"Weather Forecast Use for Winter Recreation*","year":2014,"lang":"en","type":"article","venue":"Weather Climate and Society","topic":"Adventure Sports and Sensation Seeking","field":"Psychology","cited_by":58,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Waterloo","funders":"China Scholarship Council","keywords":"Recreation; Context (archaeology); Snow; Winter storm; Environmental science; Meteorology; Rain and snow mixed; Geography; Political science","authors":[{"name":"Michelle Rutty","is_ca":true},{"name":"Jean Andrey","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03769381005211846,"gpt":0.3048548143302621,"spread":0.2671610042781437,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002491228,0.0001247518,0.0001595927,0.00001540403,0.0001779243,0.00005479787,0.00004870766,0.000126292,0.0005758633],"category_scores_gemma":[0.00001196007,0.00009964056,0.0001736995,0.00003936869,0.00005507912,0.00009962144,0.00001955343,0.00007384267,0.00003385788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001261043,"about_ca_system_score_gemma":0.000003306084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002122957,"about_ca_topic_score_gemma":0.000008916662,"domain_scores_codex":[0.9992193,0.00002866728,0.0001816729,0.0002598498,0.00006912352,0.0002413898],"domain_scores_gemma":[0.9995013,0.0001131385,0.00008112274,0.0001994663,0.00004957617,0.00005538188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003341591,0.0004828433,0.1672312,0.0001676768,0.0008128854,0.000004465404,0.2279267,0.0000177903,0.002624772,0.3515262,0.107511,0.1413604],"study_design_scores_gemma":[0.001402791,0.0001334114,0.05233707,0.00003447112,0.00007772028,0.00000929268,0.00880625,0.001750072,0.00002809935,0.002545393,0.9325713,0.0003041203],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8516927,0.0003060115,0.07447873,0.001003788,0.001082847,0.0008250314,0.00006737467,0.0002240573,0.0703194],"genre_scores_gemma":[0.982084,0.0001095088,0.003699915,0.002332182,0.000375892,0.00005400992,0.00004624878,0.00004536697,0.01125282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8250604,"threshold_uncertainty_score":0.6305299,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2124742452","doi":"10.1175/wcas-d-14-00032.1","title":"Tornado Damage Mitigation: Benefit–Cost Analysis of Enhanced Building Codes in Oklahoma","year":2015,"lang":"en","type":"article","venue":"Weather Climate and Society","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Tornado; Cost–benefit analysis; Variable (mathematics); Environmental science; Engineering; Computer science; Forensic engineering; Meteorology; Mathematics; Geography","authors":[{"name":"Kevin M. Simmons","is_ca":false},{"name":"Paul Kovacs","is_ca":false},{"name":"Gregory A. Kopp","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01419839109682677,"gpt":0.2527106706082195,"spread":0.2385122795113927,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002506888,0.00008624082,0.0002086215,0.00001752138,0.00007649916,0.00001549746,0.00007062285,0.00004360152,0.0001262118],"category_scores_gemma":[0.000007746362,0.0000729731,0.0001011752,0.0003605493,0.0001326229,0.0001113948,0.000115023,0.00004781692,0.000006611927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004988618,"about_ca_system_score_gemma":0.000002852712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001756369,"about_ca_topic_score_gemma":0.0002534127,"domain_scores_codex":[0.9993253,0.0000146386,0.0001566333,0.0001814145,0.0001470372,0.000174978],"domain_scores_gemma":[0.9997507,0.00002931803,0.00005250989,0.0001044378,0.000008401908,0.00005466661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001004056,0.00009528366,0.9354938,0.00001941117,0.0002110358,0.000001720765,0.02114395,0.002275075,0.03666601,0.0003669362,0.0005603929,0.003156385],"study_design_scores_gemma":[0.0006275018,0.0000438444,0.9747181,0.00003082448,0.0001882414,3.193192e-7,0.009670159,0.007282204,0.005828958,0.0004841609,0.0009100202,0.0002156571],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935389,0.000102096,0.0001033277,0.0001102894,0.00002352729,0.00006509798,0.00002087413,0.0000117713,0.006024181],"genre_scores_gemma":[0.9984645,0.0002763922,0.0009773525,0.0001241834,0.00001700925,0.000007576238,0.000006075512,0.000005159434,0.0001217894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03922436,"threshold_uncertainty_score":0.2975757,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2743056549","doi":"10.1175/wcas-d-16-0125.1","title":"Adaptive Capacity to Extreme Heat: Results from a Household Survey in Houston, Texas","year":2017,"lang":"en","type":"article","venue":"Weather Climate and Society","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Public Health","funders":"National Aeronautics and Space Administration","keywords":"Extreme heat; Vulnerability (computing); Adaptive capacity; Extreme weather; Population; Metropolitan area; Logistic regression; Work (physics); Geography; Environmental health; Environmental science; Medicine; Climate change; Engineering; Computer security; Computer science","authors":[{"name":"Mary H. Hayden","is_ca":false},{"name":"Olga Wilhelmi","is_ca":false},{"name":"Deborah Banerjee","is_ca":false},{"name":"Tamara A. Greasby","is_ca":false},{"name":"Jamie L. Cavanaugh","is_ca":false},{"name":"Vishnu Nepal","is_ca":false},{"name":"Jennifer Boehnert","is_ca":false},{"name":"Stephan R. Sain","is_ca":false},{"name":"Crystal Burghardt","is_ca":false},{"name":"Stephanie Gower","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2105028091195124,"gpt":0.3041147711344231,"spread":0.0936119620149107,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001054321,0.0001972714,0.0002766765,0.00001332746,0.0004873942,0.0001180032,0.0002632436,0.0001520451,0.0001715947],"category_scores_gemma":[0.00009549491,0.0001739668,0.00006847667,0.00007812773,0.0001935923,0.0002557188,0.0003665363,0.00020029,0.0001888238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001749612,"about_ca_system_score_gemma":0.000008015218,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06208573,"about_ca_topic_score_gemma":0.02587474,"domain_scores_codex":[0.9983282,0.00007658072,0.0002747673,0.0005038097,0.0002181311,0.0005985283],"domain_scores_gemma":[0.9988967,0.0001313927,0.00009776287,0.0005691089,0.000008059148,0.0002970313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000254511,0.0001387875,0.9624764,0.00001276633,0.00001134287,0.00001084427,0.02129665,0.00006888067,0.001449905,0.00001179603,0.01300824,0.001259831],"study_design_scores_gemma":[0.0009512955,0.00009177902,0.996546,0.00006100143,0.000007047946,9.97255e-7,0.0005009411,0.0002878544,0.0001079925,0.0001990524,0.001027269,0.0002188056],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914839,0.00004239058,0.0000127977,0.0008989379,0.0000926985,0.0002970638,0.00136644,0.00003624983,0.005769539],"genre_scores_gemma":[0.9965605,0.0007826207,0.0006084531,0.001768948,0.00007325374,0.0000110534,0.00002449343,0.00002547853,0.0001452368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03621098,"threshold_uncertainty_score":0.9919005,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2936746155","doi":"10.1175/wcas-d-18-0075.1","title":"The Closer, the Better? Untangling Scientist–Practitioner Engagement, Interaction, and Knowledge Use","year":2019,"lang":"en","type":"article","venue":"Weather Climate and Society","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Climate Program Office; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Credibility; Usability; Perception; Scholarship; Affect (linguistics); Knowledge management; Psychology; Process (computing); Scale (ratio); Computer science; Human–computer interaction; Political science","authors":[{"name":"Maria Carmen Lemos","is_ca":false},{"name":"Kimberly S. Wolske","is_ca":false},{"name":"Laura Vang Rasmussen","is_ca":true},{"name":"James Arnott","is_ca":false},{"name":"Margaret Kalcic","is_ca":false},{"name":"Christine Kirchhoff","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2505575451073543,"gpt":0.4230943235184611,"spread":0.1725367784111068,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001799531,0.00007949082,0.00007171961,0.00001164775,0.003203592,0.0006217313,0.0001591787,0.00005964372,0.0002866375],"category_scores_gemma":[0.00004612098,0.00004969077,0.0000652009,0.000125952,0.0003524423,0.0004077427,0.000154628,0.000211417,0.00008863461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005225692,"about_ca_system_score_gemma":0.00001988101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002862816,"about_ca_topic_score_gemma":0.001300493,"domain_scores_codex":[0.9990228,0.0003445234,0.0001288787,0.0001588825,0.000133257,0.0002116707],"domain_scores_gemma":[0.9988722,0.0006797251,0.00007905368,0.0002459244,0.0000781322,0.0000449278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003560878,0.0001717472,0.1096777,0.00007770144,0.0001257673,4.307339e-7,0.6974993,0.000002246908,0.002404944,0.09876648,0.02174439,0.0694937],"study_design_scores_gemma":[0.0001897365,0.00001081241,0.01817766,0.00002563693,0.00001884208,0.000001157662,0.1302967,0.0003250854,0.000006216989,0.0004004307,0.8504558,0.00009200157],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9516337,0.0006746719,0.00001742008,0.007837064,0.0005591919,0.00031821,0.00001267261,0.00005580243,0.03889127],"genre_scores_gemma":[0.9364272,0.05874904,0.00009754126,0.001279,0.0002169572,0.00002377984,0.00001488185,0.00001195792,0.003179666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8287114,"threshold_uncertainty_score":0.9980941,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3154151020","doi":"10.1175/wcas-d-20-0155.1","title":"“What’s Up with the Weather?” Public Engagement with Extreme Event Attribution in the United Kingdom","year":2021,"lang":"en","type":"article","venue":"Weather Climate and Society","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of Oxford; Royal Bank of Canada","keywords":"Extreme weather; Climate change; Vulnerability (computing); Attribution; Public engagement; Event (particle physics); Risk communication; Science communication; Adaptation (eye); Public relations; Political science; Environmental resource management; Psychology; Social psychology; Business; Computer science; Environmental science; Risk analysis (engineering); Computer security; Ecology","authors":[{"name":"Joshua Ettinger","is_ca":false},{"name":"Peter Walton","is_ca":false},{"name":"James Painter","is_ca":false},{"name":"Shannon Osaka","is_ca":false},{"name":"Friederike E. L. Otto","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4758789905790481,"gpt":0.406437787633204,"spread":0.06944120294584416,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002219927,0.0001194101,0.0001132106,0.00002122494,0.001355416,0.0004830979,0.0002505689,0.00007937712,0.0003995428],"category_scores_gemma":[0.00001645641,0.00006353582,0.00006752028,0.0006143363,0.0003048218,0.0002683795,0.00007902797,0.0002687913,0.00001061415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001058685,"about_ca_system_score_gemma":0.00007363776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006227611,"about_ca_topic_score_gemma":0.007969985,"domain_scores_codex":[0.9981436,0.0008509629,0.0001359571,0.0001960964,0.0003540313,0.0003193298],"domain_scores_gemma":[0.9991674,0.0002085279,0.00008034,0.0003588561,0.0001370562,0.00004777779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004743293,0.0003717444,0.03509954,0.00004734559,0.00009960317,0.000006587828,0.8662585,0.00001641162,0.000349924,0.08685363,0.003350873,0.007498377],"study_design_scores_gemma":[0.000564469,0.00004016498,0.02360393,0.00007181259,0.00003151864,0.000004037861,0.4740139,0.0001775866,0.000006307264,0.0001290326,0.5012218,0.000135444],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9217378,0.0005174542,0.0002781777,0.07204127,0.0001689492,0.0004641595,0.0000125602,0.00005889056,0.00472066],"genre_scores_gemma":[0.9733385,0.0222734,0.00006219398,0.003220815,0.00008569892,0.00008258854,0.0001088462,0.00001251122,0.0008154412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.497871,"threshold_uncertainty_score":0.9999447,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3193742682","doi":"10.1175/wcas-d-20-0174.1","title":"Sila qanuippa? (how's the weather?): Integrating Inuit Qaujimajatuqangit and environmental forecasting products to support travel safety around Pond Inlet, Nunavut in a changing climate","year":2021,"lang":"en","type":"article","venue":"Weather Climate and Society","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Ottawa; McMaster University; Government of Nunavut","funders":"Environment and Climate Change Canada; ArcticNet; Canada Research Chairs; Marine Environmental Observation Prediction and Response Network","keywords":"Sea ice; Extreme weather; Service provider; Weather forecasting; Arctic; Service (business); Environmental science; Climate change; Product (mathematics); Meteorology; Visibility; Environmental resource management; Climatology; Business; Geography; Oceanography; Marketing; Geology","authors":[{"name":"Natasha Simonee","is_ca":true},{"name":"Jayko Alooloo","is_ca":true},{"name":"Natalie Carter","is_ca":true},{"name":"Gita Ljubicic","is_ca":true},{"name":"Jackie Dawson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03410907013202856,"gpt":0.2952386564222695,"spread":0.261129586290241,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.002330284,0.0003363582,0.0005399646,0.00006498249,0.004702477,0.00006367478,0.0001367936,0.0002510193,0.0001425989],"category_scores_gemma":[0.000108404,0.0002526351,0.0001173424,0.0003536738,0.0001453178,0.0001454002,0.0009332728,0.0007417621,0.00002459258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004103604,"about_ca_system_score_gemma":0.0001619067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000166042,"about_ca_topic_score_gemma":0.008256798,"domain_scores_codex":[0.9963963,0.0002576497,0.0005400263,0.0006301162,0.0001847903,0.001991094],"domain_scores_gemma":[0.9989411,0.0003835765,0.0001933271,0.0003003162,0.00006028231,0.0001213561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006242024,0.00009549066,0.1318473,0.000555218,0.0001072082,0.00005549236,0.85886,0.000004966122,0.00324665,0.0008739835,0.0003252556,0.003966001],"study_design_scores_gemma":[0.001124222,0.0001971014,0.02044486,0.0003035463,0.00006694575,0.00007351702,0.9700126,0.001105405,0.0001144234,0.00009907403,0.006048693,0.0004096252],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902191,0.0006626136,0.0000439596,0.003203953,0.0002811404,0.001246837,0.0002367122,0.0000402152,0.004065523],"genre_scores_gemma":[0.9912751,0.002693271,0.0006323552,0.003277483,0.0003386331,0.0002138564,0.00005945185,0.00006280435,0.001447016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1114024,"threshold_uncertainty_score":0.9999926,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2472991368","doi":"10.1175/wcas-d-15-0061.1","title":"Seasons of Stress: Understanding the Dynamic Nature of People’s Ability to Respond to Change and Surprise","year":2016,"lang":"en","type":"article","venue":"Weather Climate and Society","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":22,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan; University of Calgary","funders":"","keywords":"Vulnerability (computing); Climate change; Surprise; Stressor; Geography; Environmental change; Adaptive capacity; Environmental resource management; Environmental planning; Psychology; Social psychology; Ecology; Environmental science; Computer science","authors":[{"name":"Henry Penn","is_ca":false},{"name":"S. Craig Gerlach","is_ca":true},{"name":"Philip A. Loring","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05011066205258343,"gpt":0.3626966035720642,"spread":0.3125859415194808,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009455034,0.00009576303,0.0002538626,0.00001680636,0.001112972,0.000002669356,0.0000795225,0.00018938,0.00006948001],"category_scores_gemma":[0.00007254811,0.00005147588,0.00006069527,0.0001094461,0.00009272464,0.00003262695,0.0002834522,0.0001720452,0.000004291644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001467259,"about_ca_system_score_gemma":0.00004435895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002860043,"about_ca_topic_score_gemma":0.01272113,"domain_scores_codex":[0.9989279,0.0001411724,0.0001854551,0.0001858609,0.00008950326,0.0004701082],"domain_scores_gemma":[0.9989379,0.000608556,0.00009189628,0.000203365,0.00008698523,0.00007127081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001076845,0.00003915945,0.480716,0.0004963332,0.00005604831,3.08231e-7,0.5137843,2.54453e-7,0.001076983,0.002259844,0.001167477,0.0002956384],"study_design_scores_gemma":[0.0005302226,0.0002008307,0.5622754,0.0002178238,0.00003805841,4.190616e-7,0.4349357,0.00001496858,0.00001285973,0.0005062531,0.001154093,0.0001133342],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882795,0.0003712645,0.00009347562,0.00928165,0.0001314692,0.0008233028,0.0003482116,0.00001229964,0.0006588118],"genre_scores_gemma":[0.9966678,0.001887819,0.00008969069,0.001065757,0.00003770754,0.00006574935,0.000001423987,0.00001172296,0.0001723074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08155941,"threshold_uncertainty_score":0.8560197,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2611731774","doi":"10.1175/wcas-d-16-0103.1","title":"Planning for Winter Road Maintenance in the Context of Climate Change","year":2017,"lang":"en","type":"article","venue":"Weather Climate and Society","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Quest University Canada; University of Waterloo","funders":"","keywords":"Climate change; Context (archaeology); Snow; Environmental science; Percentile; Baseline (sea); Climatology; Precipitation; Meteorology; Geography; Political science; Mathematics; Statistics","authors":[{"name":"Lindsay Matthews","is_ca":true},{"name":"Jean Andrey","is_ca":true},{"name":"Ian M. Picketts","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02903813878784033,"gpt":0.2711470978435785,"spread":0.2421089590557382,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004763078,0.00007896646,0.0001228976,0.000004146723,0.0002566005,0.00005203819,0.0001759539,0.00004950554,0.00004498054],"category_scores_gemma":[0.00001146388,0.00005337635,0.00007288021,0.00001468733,0.0002485739,0.0001988846,0.0001193521,0.00004332463,0.00001072231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002011121,"about_ca_system_score_gemma":0.00000106432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002588833,"about_ca_topic_score_gemma":0.00008722481,"domain_scores_codex":[0.9993992,0.00001829036,0.0001348326,0.0001497776,0.0000766639,0.0002212425],"domain_scores_gemma":[0.9996108,0.00002373825,0.0001259928,0.0002194623,0.000004127069,0.00001588202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004575136,0.00002509429,0.9651701,0.00005114502,0.000009021587,0.000001141705,0.02113747,0.000001027222,0.004133596,0.0005239432,0.000477646,0.008423992],"study_design_scores_gemma":[0.0006914765,0.00005162098,0.9865752,0.00007546129,0.00001327229,0.000007446111,0.007936041,0.0004504795,0.0004677947,0.0003396772,0.003285012,0.0001064751],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966286,0.00002697575,0.00001464585,0.00034872,0.0001500834,0.0002743959,0.00003799958,0.000007774638,0.002510817],"genre_scores_gemma":[0.9988472,0.0003021804,0.0002845634,0.0004359173,0.00005155895,0.00005691294,0.000002548169,0.000008192151,0.00001095784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02140507,"threshold_uncertainty_score":0.2176624,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2948473450","doi":"10.1175/wcas-d-19-0040.1","title":"Weather and Climate Variability May Be Poor Proxies for Climate Change in Farmer Risk Perceptions","year":2019,"lang":"en","type":"article","venue":"Weather Climate and Society","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; University of British Columbia; International Development Research Centre","keywords":"Climate change; Climate risk; Political economy of climate change; Subsidy; Odds; Extreme weather; Risk perception; Perception; Geography; Economics; Natural resource economics; Environmental resource management; Psychology; Ecology","authors":[{"name":"Kieran Findlater","is_ca":true},{"name":"Milind Kandlikar","is_ca":true},{"name":"Terre Satterfield","is_ca":true},{"name":"Simon D. Donner","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03203452430650108,"gpt":0.2696544428636072,"spread":0.2376199185571061,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001196546,0.0003697336,0.0004624138,0.0000139902,0.0004548909,0.0001816392,0.000163963,0.0003377106,0.0007299103],"category_scores_gemma":[0.0000340881,0.0001537587,0.0002471898,0.0002429298,0.000145868,0.0003528641,0.0002271922,0.0002624495,0.00003354952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005921745,"about_ca_system_score_gemma":0.00000384576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003187671,"about_ca_topic_score_gemma":0.0007924557,"domain_scores_codex":[0.9976784,0.000138105,0.0003534662,0.000704946,0.0001895085,0.000935556],"domain_scores_gemma":[0.9991185,0.0003360423,0.0001679213,0.0001293704,0.00007648428,0.0001716933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008769301,0.000269748,0.9391515,0.0003189829,0.0000367223,8.672313e-7,0.009803087,5.119264e-7,0.04012188,0.0006320251,0.0003323023,0.009244657],"study_design_scores_gemma":[0.000841733,0.0003277854,0.974409,0.00009793859,0.00007424701,0.000009590625,0.01546124,0.0005224579,0.00008634275,0.0002691591,0.007390126,0.0005103534],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991505,0.0002854681,5.712984e-7,0.003178407,0.000112658,0.001605821,0.00227893,0.0001181095,0.0009150382],"genre_scores_gemma":[0.9818207,0.01560291,0.0003433109,0.001375671,0.0002477866,0.0002877969,0.0002002325,0.000008650016,0.0001129108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04003554,"threshold_uncertainty_score":0.7992006,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1999759148","doi":"10.1175/wcas-d-10-05005.1","title":"Making Forecasts Meaningful: Explanations of Problematic Predictions in Northeast Brazil","year":2011,"lang":"en","type":"article","venue":"Weather Climate and Society","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Context (archaeology); Psychological resilience; Population; Identity (music); Sociology; Psychology; Social psychology; Geography","authors":[{"name":"Karen Pennesi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4502446962812832,"gpt":0.4204087175484816,"spread":0.02983597873280164,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005694167,0.00006514446,0.0001142789,0.00004028732,0.0003526865,0.00001927686,0.0001121854,0.00007669858,0.0004225319],"category_scores_gemma":[0.00002157154,0.00006364895,0.0000672786,0.0001994246,0.0001717042,0.0001686992,0.00004617721,0.00008414288,0.000006449402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004039059,"about_ca_system_score_gemma":0.0000237521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005663931,"about_ca_topic_score_gemma":0.005457644,"domain_scores_codex":[0.9992836,0.00009201809,0.0002141363,0.0001072857,0.000126174,0.0001767794],"domain_scores_gemma":[0.9996184,0.00005398849,0.00009383392,0.0001403774,0.00005560722,0.00003775288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000007607267,0.0001713308,0.1302335,0.00009884212,0.00001830248,2.471883e-7,0.8363029,0.000002877793,0.0001665819,0.02954216,0.0001607581,0.00329483],"study_design_scores_gemma":[0.0009951373,0.00008994321,0.509146,0.0005687206,0.00007139525,0.000003896113,0.4670707,0.004416061,0.00001620885,0.01213459,0.005105121,0.0003822162],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7931176,0.0001447305,0.0003228426,0.0008285992,0.00009894493,0.0004710665,0.00005092748,0.000100669,0.2048646],"genre_scores_gemma":[0.9943777,0.00380596,0.001554009,0.00009928391,0.00002477642,0.00003872001,0.00001303387,0.00000846119,0.00007803133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3789125,"threshold_uncertainty_score":0.4626428,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2905237911","doi":"10.1175/wcas-d-18-0025.1","title":"Using a Multiyear Temporal Climate-Analog Approach to Assess Climate Change Impacts on Park Visitation","year":2018,"lang":"en","type":"article","venue":"Weather Climate and Society","topic":"Recreation, Leisure, Wilderness Management","field":"Psychology","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Ministry of Natural Resources","keywords":"Climate change; National park; Environmental science; Geography; Climatology; Physical geography; Ecology","authors":[{"name":"Micah J. Hewer","is_ca":true},{"name":"William A. Gough","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1650002324713796,"gpt":0.3926483331669355,"spread":0.227648100695556,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001109266,0.0003553808,0.0004092905,0.00009819569,0.0005048202,0.0001902024,0.0001923097,0.0002357355,0.00015911],"category_scores_gemma":[0.00001197539,0.0003165528,0.0001982708,0.0003126592,0.0001248157,0.0002746482,0.0001538605,0.0001693646,0.0003447115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001187347,"about_ca_system_score_gemma":0.0000116538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003598448,"about_ca_topic_score_gemma":0.00003094615,"domain_scores_codex":[0.9974322,0.0002070304,0.0004055857,0.0007399794,0.0003261821,0.000889071],"domain_scores_gemma":[0.9988561,0.00007196966,0.0002319115,0.0005218654,0.0001158119,0.0002022976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004223123,0.001197693,0.8778581,0.0004986614,0.0005516563,0.00001276168,0.08276395,0.00004541323,0.0008742997,0.02396543,0.003638514,0.008171198],"study_design_scores_gemma":[0.002428678,0.000717646,0.9621599,0.000234885,0.0003120026,0.00001420492,0.01944922,0.008636319,0.0001230457,0.0002729352,0.004708854,0.0009422901],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9478008,0.0001032079,0.002109477,0.0002018628,0.0004831364,0.001227094,0.00009579658,0.0002007975,0.04777784],"genre_scores_gemma":[0.9910052,0.0003316361,0.006844845,0.0007707266,0.0005797533,0.0001718265,0.00009994288,0.0000882044,0.0001078364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0843018,"threshold_uncertainty_score":0.9999287,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2148207882","doi":"10.1175/wcas-d-10-05007.1","title":"Climate Change and Cultural Survival in the Arctic: People of the Whales and Muktuk Politics","year":2011,"lang":"en","type":"article","venue":"Weather Climate and Society","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Whaling; Circumpolar star; Politics; Indigenous; Arctic; Environmental ethics; Climate change; Political science; Countermovement; Geography; Oceanography; Ecology; Law; Archaeology","authors":[{"name":"Chie Sakakibara","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.106425545733304,"gpt":0.3499035774313042,"spread":0.2434780316980002,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007452682,0.0001029937,0.0002129121,0.000007044504,0.001840341,0.000006605367,0.00008076575,0.0001200666,0.00003234203],"category_scores_gemma":[0.00001678195,0.000052063,0.00005040288,0.00005868257,0.0001994321,0.0000532624,0.0002761407,0.0002317892,0.000002841884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002194566,"about_ca_system_score_gemma":0.0000147232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004652064,"about_ca_topic_score_gemma":0.01604486,"domain_scores_codex":[0.9988081,0.0002006389,0.0002006259,0.0001326787,0.00006883882,0.000589093],"domain_scores_gemma":[0.999505,0.0001889191,0.00009221763,0.0001314401,0.00005255065,0.00002983057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004559532,0.00002102347,0.5518612,0.0001924041,0.00001096587,2.729442e-7,0.4403378,4.425417e-9,0.000006495939,0.007467583,0.0000508945,0.00004687188],"study_design_scores_gemma":[0.0002757947,0.00003973958,0.647765,0.00003788569,0.0000230208,0.000002415706,0.3509645,0.00001242621,0.000001266031,0.0004119568,0.0004150363,0.00005095877],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917066,0.0007057241,2.64215e-7,0.001013732,0.0001650405,0.0004725108,0.00004746403,0.000008078479,0.005880547],"genre_scores_gemma":[0.9833524,0.01498565,0.00004768973,0.001405932,0.00009384938,0.00005849915,0.000002084552,0.000009204751,0.00004467483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09590385,"threshold_uncertainty_score":0.9994591,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2923143199","doi":"10.1175/wcas-d-18-0093.1","title":"Understanding Socio-Ecological Vulnerability to Climatic Change through a Trajectories of Change Approach: A Case Study from an Indigenous Community in Panama","year":2019,"lang":"en","type":"article","venue":"Weather Climate and Society","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"McGill University","keywords":"Climate change; Livelihood; Psychological resilience; Vulnerability (computing); Indigenous; Community resilience; Environmental resource management; Environmental change; Geography; Causal loop diagram; Ecology; Environmental planning; Agriculture; System dynamics; Psychology; Environmental science; Social psychology","authors":[{"name":"Avital Li","is_ca":true},{"name":"James D. Ford","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3478955668578808,"gpt":0.3469449880530248,"spread":0.0009505788048559949,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001075274,0.0002998178,0.0006092605,0.00001163443,0.0004944289,0.00009156254,0.0002602621,0.0002749154,0.0001624891],"category_scores_gemma":[0.00002281365,0.0001260302,0.0001527432,0.0004548758,0.0001108629,0.0004111292,0.0002491683,0.000449097,0.000004964317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002150067,"about_ca_system_score_gemma":0.000005151601,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0236153,"about_ca_topic_score_gemma":0.01979317,"domain_scores_codex":[0.9977432,0.0006314887,0.0003820993,0.0004401083,0.0002465128,0.00055656],"domain_scores_gemma":[0.9990158,0.0004377498,0.0001561121,0.0001905958,0.00004617528,0.0001535578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003689928,0.00213358,0.5344179,0.00008676836,0.00003726517,0.000021839,0.4594959,7.954695e-7,0.00297587,0.00002563226,0.000007527652,0.0007599893],"study_design_scores_gemma":[0.0003749087,0.001031536,0.490801,0.000026175,0.00002584614,0.00001848502,0.5072031,0.00005198377,0.00001042718,0.000247582,0.000008289486,0.0002006706],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966866,0.00008956851,0.000001510391,0.000256831,0.00006142235,0.002251124,0.0004539096,0.00007365219,0.0001253637],"genre_scores_gemma":[0.9985507,0.0001660567,0.0001359318,0.0006876635,0.000128272,0.0002003205,0.000123619,0.000004168431,0.000003303256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04770719,"threshold_uncertainty_score":0.9980931,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2564368288","doi":"10.1175/wcas-d-16-0079.1","title":"Impacts of Typhoons on Local Labor Markets based on GMM: An Empirical Study of Guangdong Province, China","year":2016,"lang":"en","type":"article","venue":"Weather Climate and Society","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Typhoon; Quarter (Canadian coin); China; Per capita; Demographic economics; Beijing; Remuneration; Economics; Empirical research; Welfare; Geography; Demography; Meteorology; Statistics; Mathematics; Population; Sociology","authors":[{"name":"Xianhua Wu","is_ca":false},{"name":"Lei Zhou","is_ca":false},{"name":"Ji Guo","is_ca":false},{"name":"Hui Liu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01185494047368433,"gpt":0.2554303796686403,"spread":0.243575439194956,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002255812,0.0001432307,0.0002116675,0.000005152709,0.0001420204,0.00001238514,0.0001472114,0.00009697536,0.00008796893],"category_scores_gemma":[0.00001581864,0.0000355884,0.0001023384,0.0001558159,0.0001377697,0.00007783659,0.0000434154,0.00007611804,0.000004191822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001929644,"about_ca_system_score_gemma":0.000009981413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001688415,"about_ca_topic_score_gemma":0.000207224,"domain_scores_codex":[0.9989677,0.0001008949,0.0001895585,0.0002674267,0.0002375713,0.0002368529],"domain_scores_gemma":[0.9995074,0.0001621432,0.0001032532,0.00007868578,0.00004382208,0.0001047144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003396443,0.002198693,0.8695228,0.00003081575,0.00002817466,0.000004180367,0.00167224,0.00001147431,0.08264813,0.00008248349,0.0007079704,0.0427534],"study_design_scores_gemma":[0.0004171173,0.002503533,0.9910959,0.00006492099,0.00001372654,6.54589e-7,0.00341589,0.0001232141,0.002046712,0.00002405215,0.0001768789,0.0001173881],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986147,0.00002413869,0.000001997936,0.0005043715,0.00002472224,0.0002380892,0.00007397361,0.00002401179,0.0004940256],"genre_scores_gemma":[0.9994904,0.0001577344,0.00002071044,0.0001736335,0.00004503739,0.000005477534,0.00000501792,0.000001230772,0.0001007926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1215731,"threshold_uncertainty_score":0.1451253,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2345751412","doi":"10.1175/wcas-d-15-0072.1","title":"Weather Effects on Social Movements: Evidence from Washington, D.C., and New York City, 1960–95","year":2016,"lang":"en","type":"article","venue":"Weather Climate and Society","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Salient; Negative binomial distribution; Logistic regression; Binomial regression; Social movement; Movement (music); Regression analysis; Precipitation; Empirical evidence; History; Geography; Politics; Political science; Meteorology; Statistics","authors":[{"name":"Tony Huiquan Zhang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06854227729911647,"gpt":0.2671043147750764,"spread":0.1985620374759599,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002395106,0.0002921966,0.0002930091,0.000004010698,0.0004113658,0.0002060272,0.0001952131,0.0002456247,0.0005610509],"category_scores_gemma":[0.00004802051,0.00009094687,0.0001635963,0.0001380702,0.00009281821,0.0002611794,0.0001765369,0.0001386345,0.00005105178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005457375,"about_ca_system_score_gemma":0.000005031346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000715033,"about_ca_topic_score_gemma":0.0002523214,"domain_scores_codex":[0.9984555,0.00007383451,0.0001899845,0.0005109157,0.0002819229,0.0004878783],"domain_scores_gemma":[0.9989488,0.0006068632,0.0001141666,0.00007608444,0.00003152414,0.000222579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00007437048,0.000110668,0.05529854,0.00003882802,0.00009944547,0.000004334858,0.006891058,3.04827e-8,0.7472442,0.0001052176,0.05022268,0.1399106],"study_design_scores_gemma":[0.001322871,0.0005379254,0.9507142,0.0009484821,0.00008844364,0.000003896944,0.00359825,0.00000789155,0.01006782,0.001898897,0.03002062,0.0007906827],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902651,0.001462411,0.000001697348,0.007182123,0.0001166758,0.0002693662,0.00016898,0.0001137821,0.0004198506],"genre_scores_gemma":[0.9855674,0.008308305,0.00009364242,0.003533509,0.00126872,0.00001878676,0.00002780092,0.000005729108,0.001176099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8954157,"threshold_uncertainty_score":0.6143114,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4285495318","doi":"10.1175/wcas-d-21-0077.1","title":"Formalizing Trust in Historical Weather Data","year":2022,"lang":"en","type":"article","venue":"Weather Climate and Society","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Centre for Interdisciplinary Research in Rehabilitation; McGill University","funders":"Social Sciences and Humanities Research Council of Canada; McGill University","keywords":"Digitization; Context (archaeology); Data science; Checklist; Computer science; Resource (disambiguation); Transcription (linguistics); Environmental resource management; Operations research; History; Engineering; Environmental science; Psychology; Archaeology","authors":[{"name":"Renée Sieber","is_ca":true},{"name":"Victoria Slonosky","is_ca":true},{"name":"Linden Ashcroft","is_ca":false},{"name":"Christa Pudmenzky","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04762738032126071,"gpt":0.2585030290251851,"spread":0.2108756487039244,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004484323,0.0000988894,0.0001204547,0.000008186043,0.0003469022,0.00002512403,0.0002860818,0.0000386368,0.04546999],"category_scores_gemma":[0.000004773814,0.00009442051,0.00005518896,0.0001721854,0.00005975817,0.0001758274,0.001166011,0.0001625799,0.00010654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00111936,"about_ca_system_score_gemma":0.000004184784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003825724,"about_ca_topic_score_gemma":0.00008508234,"domain_scores_codex":[0.9989687,0.00003535824,0.0001527333,0.0003059021,0.0002252388,0.0003121063],"domain_scores_gemma":[0.9995752,0.0000165593,0.00004157119,0.0003065935,0.000001668378,0.00005842817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004626548,0.0005380446,0.7595234,0.00003587738,0.0000253292,0.00002155492,0.01324341,0.00003424999,0.00290158,0.002573683,0.2157238,0.005332861],"study_design_scores_gemma":[0.000670448,0.00004796827,0.1075607,0.000002771533,0.00001260976,0.00001446919,0.01908139,0.001971708,0.0000144998,0.00008930878,0.8703001,0.0002340935],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9172732,0.0003560586,0.00002285669,0.0009301564,0.0001672846,0.0001511003,0.0002690098,0.00005790291,0.08077249],"genre_scores_gemma":[0.9948748,0.0009959958,0.0001664781,0.001589336,0.00003276252,0.00004772007,0.0001980899,0.00002182576,0.002073032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6545763,"threshold_uncertainty_score":0.9554026,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2586904799","doi":"10.1175/wcas-d-16-0038.1","title":"When Severe Weather Becomes a Tourist Attraction: Understanding the Relationship with Nature in Storm-Chasing Tourism","year":2017,"lang":"en","type":"article","venue":"Weather Climate and Society","topic":"Geographies of human-animal interactions","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"Social Sciences and Humanities Research Council of Canada; Fonds de Recherche du Québec-Société et Culture","keywords":"Tourism; Storm; Context (archaeology); Severe weather; Commodification; Advertising; Political science; History; Geography; Business; Meteorology; Economy; Economics; Law","authors":[{"name":"Catherine Morin Boulais","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06016685820748182,"gpt":0.3309709425767648,"spread":0.270804084369283,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007145265,0.000144244,0.0001519027,0.00003937099,0.00520069,0.0006738828,0.0002695359,0.0002288429,0.0002082736],"category_scores_gemma":[0.00007868571,0.0001039585,0.0001313736,0.00008697097,0.000622476,0.0007470589,0.00006846167,0.0006872989,0.000008777186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001825018,"about_ca_system_score_gemma":0.00004048379,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002298951,"about_ca_topic_score_gemma":0.05062928,"domain_scores_codex":[0.9988856,0.00009519253,0.0001531785,0.0002489849,0.0002658801,0.0003511209],"domain_scores_gemma":[0.999061,0.0003345338,0.0001854963,0.0003086941,0.00004469977,0.0000655576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003799653,0.00006768975,0.798985,0.00002203687,0.0001017729,0.00001045886,0.1338673,0.00001121618,0.0000148119,0.06097535,0.005801374,0.0001049969],"study_design_scores_gemma":[0.0005097954,0.00004338639,0.5688161,0.0001442933,0.00005696373,0.0000112044,0.3991409,0.00003749934,0.000001336379,0.01901898,0.01195464,0.000264883],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9047104,0.000434717,0.00004093674,0.02124596,0.0003186726,0.0003395052,0.00001213797,0.00008199047,0.0728157],"genre_scores_gemma":[0.9965382,0.0004247319,0.0003201356,0.0003102184,0.0002415655,0.00001656006,0.000002201451,0.0000192716,0.002127137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2652736,"threshold_uncertainty_score":0.9960944,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387310677","doi":"10.1175/wcas-d-23-0006.1","title":"Extreme Arctic Weather and Community Impacts in Nunavut: A Case Study of One Winter’s Storms and Lessons for Local Climate Change Preparedness","year":2023,"lang":"en","type":"article","venue":"Weather Climate and Society","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Manitoba","funders":"Canada Excellence Research Chairs, Government of Canada; Canada Research Chairs","keywords":"Winter storm; Extreme weather; Preparedness; Snow; Arctic; Storm; Climate change; Environmental science; Meteorology; Climatology; Environmental resource management; Geography; Oceanography; Political science","authors":[{"name":"Shari Fox","is_ca":false},{"name":"Alex Crawford","is_ca":true},{"name":"Michelle McCrystall","is_ca":true},{"name":"Julienne Strœve","is_ca":true},{"name":"Jennifer V. Lukovich","is_ca":true},{"name":"Nicole Loeb","is_ca":true},{"name":"Jerry Natanine","is_ca":false},{"name":"Mark C. Serreze","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.158558348648656,"gpt":0.3186591286330029,"spread":0.160100779984347,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001137398,0.0002173274,0.000396589,0.00006638077,0.0004731812,0.00007061469,0.00009434886,0.000118251,0.0001113772],"category_scores_gemma":[0.00001451115,0.0001785075,0.00006926179,0.0002109495,0.0002055222,0.0002398565,0.0001032857,0.0002348374,0.000003875759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001192862,"about_ca_system_score_gemma":0.00001077576,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02653746,"about_ca_topic_score_gemma":0.1828947,"domain_scores_codex":[0.9986354,0.0001460232,0.0002827226,0.0002945389,0.0001355652,0.00050575],"domain_scores_gemma":[0.999111,0.0003767038,0.00009791123,0.000230543,0.00003675505,0.0001470791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001030524,0.0002451778,0.7463371,0.000674664,0.00004898918,0.00005769416,0.2467423,0.000005944711,0.0001098889,0.000007340708,0.00003754508,0.005630273],"study_design_scores_gemma":[0.001876062,0.0008061021,0.6333748,0.0002025633,0.00007816342,0.0001386882,0.3562654,0.006812377,0.000005597184,0.0001346752,0.00005402695,0.0002515569],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962889,0.0007437186,0.000002827466,0.0001593724,0.00008249238,0.0007307883,0.001863228,0.00003915875,0.00008950403],"genre_scores_gemma":[0.9946245,0.004904517,0.00002145971,0.0001384936,0.00005065435,0.00003062693,0.0001986588,0.00001483959,0.00001624042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1563573,"threshold_uncertainty_score":0.9799449,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3172444037","doi":"10.1175/wcas-d-20-0145.1","title":"A Climate Change Impact Assessment (CCIA) of Key Indicators and Critical Thresholds for Viticulture and Oenology in the Fraser Valley, British Columbia, Canada","year":2021,"lang":"en","type":"article","venue":"Weather Climate and Society","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Climate change; Downscaling; Vineyard; Precipitation; Environmental science; Winery; Frost (temperature); Viticulture; Climatology; Geography; Terroir; Physical geography; Wine; Meteorology; Ecology; Archaeology","authors":[{"name":"Nathan Beech","is_ca":true},{"name":"Micah J. Hewer","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02746493714068672,"gpt":0.3027168865605444,"spread":0.2752519494198576,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003337708,0.0001218687,0.0002735675,0.00000280681,0.0003954025,0.0002620732,0.0001003549,0.0001495778,0.0001076914],"category_scores_gemma":[0.00005527241,0.00005426791,0.00009881653,0.0001873301,0.0002097368,0.000116736,0.0001321101,0.0001926328,1.491544e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003152211,"about_ca_system_score_gemma":0.00002714248,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1339732,"about_ca_topic_score_gemma":0.7507721,"domain_scores_codex":[0.9986672,0.0001027118,0.0002079225,0.0003137192,0.0002193251,0.0004891087],"domain_scores_gemma":[0.9993175,0.0003677663,0.00004312079,0.00004564421,0.00009954478,0.0001263936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002094744,0.0002410499,0.9433362,0.0002941618,0.00007643782,0.0000586568,0.003453135,1.222415e-7,0.01575274,0.000815673,0.00321893,0.03273195],"study_design_scores_gemma":[0.000304243,0.0002250095,0.982659,0.00006520769,0.00002979251,0.00004718836,0.014177,0.00003790706,0.00005943155,0.0002021324,0.002043833,0.0001492595],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942851,0.001079741,1.420948e-7,0.003626849,0.00002551417,0.0003262595,0.0004762661,0.000008159705,0.000171944],"genre_scores_gemma":[0.9934105,0.005339205,0.00007538192,0.0008940558,0.00008468566,0.00008503456,0.00007752387,0.000001655646,0.00003198939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6167989,"threshold_uncertainty_score":0.8717937,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1987311343","doi":"10.1175/wcas-d-13-00002.1","title":"The Impact of Temperature on Major League Baseball","year":2013,"lang":"en","type":"article","venue":"Weather Climate and Society","topic":"Sports Dynamics and Biomechanics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"League; Population; Geography; Demographic economics; Meteorology; Advertising; Demography; Business; Economics; Sociology; Physics","authors":[{"name":"Brandon Koch","is_ca":false},{"name":"Anna K. Panorska","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004382429466693784,"gpt":0.2051275480341722,"spread":0.2007451185674785,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009157055,0.00009376073,0.00009179871,0.000005950471,0.00007888704,0.00004247049,0.00005850921,0.00008129698,0.00008486624],"category_scores_gemma":[0.000001179394,0.00005089512,0.0001382917,0.00005122894,0.00002316,0.00003352529,0.00001512153,0.00009621737,0.00000933417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001975454,"about_ca_system_score_gemma":0.000004347738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004770638,"about_ca_topic_score_gemma":0.000003382911,"domain_scores_codex":[0.9996052,0.000003742545,0.00009382685,0.00007190064,0.00005880888,0.0001664902],"domain_scores_gemma":[0.9997771,0.00002126571,0.00001712562,0.0001301499,0.00001994815,0.00003439512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006335286,0.0003313964,0.02517601,0.0005217005,0.00162834,0.000007835461,0.009244342,0.004197675,0.7975069,0.01501645,0.1199527,0.02635335],"study_design_scores_gemma":[0.001968886,0.0005857292,0.2903375,0.0001969929,0.00009957908,0.00001939942,0.005905051,0.6863497,0.006283419,0.002705826,0.00436326,0.001184679],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979332,0.0002373404,0.000007775889,0.00004762378,0.00006835753,0.00009882429,0.0000289084,0.00004223193,0.001535738],"genre_scores_gemma":[0.997795,0.001854086,0.00006976651,0.00004125219,0.00003336492,0.000007064255,0.000006985029,0.00001686892,0.000175556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7912235,"threshold_uncertainty_score":0.2075443,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2898777657","doi":"10.1175/wcas-d-18-0028.1","title":"Of Climate and Weather: Examining Canadian Farm and Livestock Organization Discourses from 2010 to 2015","year":2018,"lang":"en","type":"article","venue":"Weather Climate and Society","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Dalhousie University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Livestock; Climate change; Government (linguistics); Environmental resource management; Sustainability; Extreme weather; Political science; Business; Geography; Economics; Ecology","authors":[{"name":"Wesley Tourangeau","is_ca":true},{"name":"Kate Sherren","is_ca":true},{"name":"Carlisle Kent","is_ca":true},{"name":"Bertrum H. MacDonald","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02873557497971622,"gpt":0.3295711217265149,"spread":0.3008355467467987,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003653342,0.0001397056,0.000275972,0.00002847764,0.002539294,0.00001471724,0.00005570244,0.0001968914,0.000274772],"category_scores_gemma":[0.00003257484,0.0001174713,0.0000187688,0.00009236157,0.0001368223,0.00005347861,0.0002059775,0.0001477316,0.00003420431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006724658,"about_ca_system_score_gemma":0.0001096512,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08127881,"about_ca_topic_score_gemma":0.3567073,"domain_scores_codex":[0.9986817,0.00006872515,0.0002403308,0.0002594107,0.00006135655,0.0006885002],"domain_scores_gemma":[0.9992905,0.0001218603,0.000101808,0.0001388331,0.0001560697,0.0001908816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001039218,0.00001638616,0.729668,0.00007949863,0.00005667504,7.772344e-7,0.2659943,1.483651e-7,0.0005060173,0.0005436002,0.002615906,0.0005083539],"study_design_scores_gemma":[0.0006550108,0.0003541902,0.7410667,0.0001034248,0.00007280443,0.000001918359,0.2469711,0.00005284113,0.00002843372,0.0001288239,0.01032833,0.0002364302],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939666,0.0004045906,0.00002022879,0.001311256,0.0002976458,0.0004110936,0.0002377855,0.00002437494,0.003326382],"genre_scores_gemma":[0.9908488,0.005702083,0.0007650724,0.001966609,0.0002574004,0.00002035328,0.00002839612,0.00003499364,0.0003762912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2754285,"threshold_uncertainty_score":0.9987593,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3016359198","doi":"10.1175/wcas-d-19-0099.1","title":"Winter Storms and Fall-Related Injuries: Is It Safer to Walk than to Drive?","year":2020,"lang":"en","type":"article","venue":"Weather Climate and Society","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Wilfrid Laurier University; University of Waterloo; Environment and Climate Change Canada","funders":"","keywords":"Winter storm; Snow; Storm; Poison control; Environmental science; Injury prevention; Occupational safety and health; Rain and snow mixed; SAFER; Meteorology; Climatology; Geography; Medicine; Environmental health; Computer security","authors":[{"name":"Brian Mills","is_ca":true},{"name":"Jean Andrey","is_ca":true},{"name":"Sean Doherty","is_ca":true},{"name":"Brent Doberstein","is_ca":true},{"name":"Jennifer Yessis","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02353756485982466,"gpt":0.3098481484131409,"spread":0.2863105835533162,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003437243,0.0001424243,0.0003004811,0.00001488136,0.0001264079,0.00001300085,0.00004394913,0.0001861221,0.0004439742],"category_scores_gemma":[0.00005792552,0.0001079854,0.0001294328,0.00009193794,0.00006091772,0.00006091362,0.00009374963,0.0002011067,0.0001762468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000182806,"about_ca_system_score_gemma":0.00001477868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001526887,"about_ca_topic_score_gemma":0.000005768506,"domain_scores_codex":[0.9990991,0.00004743505,0.0002270943,0.0003023813,0.0000784124,0.0002455889],"domain_scores_gemma":[0.9994597,0.00004656828,0.00003627254,0.0001267965,0.0000342108,0.0002964507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006778084,0.00008961816,0.4215809,0.0003158133,0.0005824426,0.000009122491,0.2260278,0.000001490224,0.01193858,0.0007671934,0.3339597,0.004049486],"study_design_scores_gemma":[0.003670377,0.003415561,0.5198529,0.0005698787,0.000646199,0.00003542244,0.02275037,0.0005105803,0.002144841,0.001491629,0.4440067,0.0009055757],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9400643,0.000168038,0.0002279292,0.05573648,0.00009780662,0.0003199358,0.00003113012,0.00004714629,0.003307199],"genre_scores_gemma":[0.9100164,0.000616295,0.0009284419,0.08522382,0.0001123294,0.0000147611,0.00001827899,0.00002032989,0.003049316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2032775,"threshold_uncertainty_score":0.4861206,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2157808589","doi":"10.1175/wcas-d-11-00021.1","title":"A Kaleidoscope of Understanding: Comparing Real with Random Data, Using Binary-Choice Items, to Study Preservice Elementary Teachers’ Knowledge of Climate Change*","year":2011,"lang":"en","type":"article","venue":"Weather Climate and Society","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Ontario Tech University; Tyndale University","funders":"","keywords":"Kaleidoscope; Climate change; Curriculum; Binary number; Percentile; Mathematics education; Climate science; Psychology; Statistics; Computer science; Mathematics; Ecology; Pedagogy","authors":[{"name":"Douglas Hayhoe","is_ca":true},{"name":"Shawn Michael Bullock","is_ca":true},{"name":"Katharine Hayhoe","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1276626470532815,"gpt":0.3301234863579537,"spread":0.2024608393046722,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008480496,0.0001782211,0.0003093051,0.00001999945,0.0002064536,0.00001298691,0.0003125685,0.00004759837,0.0005155919],"category_scores_gemma":[0.000008483566,0.0001488463,0.00004700019,0.0002018982,0.0002370569,0.0003385218,0.0008488521,0.0001031865,0.000005217434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002162981,"about_ca_system_score_gemma":0.00001060574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006130722,"about_ca_topic_score_gemma":0.0009300298,"domain_scores_codex":[0.9985923,0.000130976,0.0003238504,0.0004332606,0.0001948263,0.0003247557],"domain_scores_gemma":[0.999121,0.00005555388,0.0001516883,0.000535454,0.00001221179,0.0001240904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001274463,0.00107292,0.8767349,0.00009967761,0.00005601488,5.182734e-7,0.120976,0.0000160282,0.0005888706,0.00001587182,0.00005074599,0.0002609849],"study_design_scores_gemma":[0.001892361,0.0003614646,0.7986979,0.00003775407,0.0001264254,8.114078e-7,0.1970471,0.001335033,0.0001242556,0.00002593562,0.0001593455,0.0001915588],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935955,0.00006064645,0.00006558712,0.00002302947,0.00003620019,0.0008945584,0.00003578551,0.00001733675,0.005271376],"genre_scores_gemma":[0.9971608,0.0002753176,0.002388629,0.00007314145,0.0000192307,0.00002602389,0.00001685875,0.00002098977,0.00001899249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07803696,"threshold_uncertainty_score":0.9267859,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2127636564","doi":"10.1175/wcas-d-11-00030.1","title":"Carbon Dioxide Emission Pathways Avoiding Dangerous Ocean Impacts","year":2012,"lang":"en","type":"article","venue":"Weather Climate and Society","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; FP7 People: Marie-Curie Actions; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Greenhouse gas; Environmental science; Climate change; Global temperature; Global warming; Ocean acidification; Climatology; Carbon dioxide; Representative Concentration Pathways; Climate sensitivity; Climate model; Atmospheric sciences; Natural resource economics; Oceanography; Ecology; Economics","authors":[{"name":"Karin Kvale","is_ca":true},{"name":"Kirsten Zickfeld","is_ca":true},{"name":"Thomas Brückner","is_ca":false},{"name":"Katrin J. Meißner","is_ca":true},{"name":"Katsumasa Tanaka","is_ca":false},{"name":"Andrew J. Weaver","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06959160352096076,"gpt":0.2425356308690019,"spread":0.1729440273480412,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009404614,0.0002176585,0.0003809249,0.00004696591,0.0002960414,0.00008183528,0.0001099015,0.0002039385,0.0001109428],"category_scores_gemma":[0.00004165505,0.0002303992,0.0001767486,0.00008469708,0.00005662776,0.0003014999,0.0001317607,0.000225621,0.0001122317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001274423,"about_ca_system_score_gemma":0.000005646172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002811348,"about_ca_topic_score_gemma":0.000004462202,"domain_scores_codex":[0.9984921,0.00001513607,0.0004110005,0.0003024906,0.00002619403,0.0007531086],"domain_scores_gemma":[0.999175,0.00008163068,0.0002192347,0.0002586231,0.000009263757,0.000256272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002539612,0.0002394349,0.8685161,0.0003306552,0.0001559395,0.000002363878,0.05468771,0.000006914911,0.002806644,0.07077416,0.001662782,0.0007919247],"study_design_scores_gemma":[0.01019009,0.000713071,0.2750078,0.0006585972,0.0003004972,0.0001998583,0.07009602,0.01973269,0.01158229,0.05907425,0.5439903,0.008454648],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9644328,0.005266475,0.00002277173,0.0002051518,0.0002808644,0.000117511,0.0002187782,0.00007286522,0.02938275],"genre_scores_gemma":[0.9894275,0.008872395,0.0001893633,0.0007837456,0.0004374142,0.000006855061,0.00003067823,0.00005023595,0.0002018209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5935083,"threshold_uncertainty_score":0.9395407,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4221131114","doi":"10.1175/wcas-d-21-0103.1","title":"Red, White, and Blue: Environmental Distress among Water Stakeholders in a U.S. Farming Community","year":2022,"lang":"en","type":"article","venue":"Weather Climate and Society","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Canadian Mathematical Society","funders":"National Institute of Food and Agriculture","keywords":"Environmental change; Feeling; Context (archaeology); Climate change; Sadness; Distress; Agriculture; Stakeholder; Psychology; Socioeconomics; Social psychology; Sociology; Political science; Geography; Public relations; Anger; Ecology; Clinical psychology","authors":[{"name":"Margaret V. du Bray","is_ca":false},{"name":"Barbara Quimby","is_ca":false},{"name":"Julia C. Bausch","is_ca":true},{"name":"Amber Wutich","is_ca":false},{"name":"Weston M. Eaton","is_ca":false},{"name":"Kathryn J. Brasier","is_ca":false},{"name":"Alexandra Brewis","is_ca":false},{"name":"Clinton F. Williams","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0236773002055098,"gpt":0.2204120619671722,"spread":0.1967347617616624,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005102706,0.0001217614,0.0001370817,0.000009982864,0.0008400925,0.00002746291,0.000109096,0.00004366977,0.001315959],"category_scores_gemma":[6.705182e-7,0.0001033129,0.00004668678,0.00005114036,0.0002787262,0.0001371123,0.0006464923,0.0004047528,0.000008217831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001541968,"about_ca_system_score_gemma":0.000001750874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001967108,"about_ca_topic_score_gemma":0.001408959,"domain_scores_codex":[0.9989728,0.0001388295,0.0001399643,0.0002119228,0.0001748542,0.0003615785],"domain_scores_gemma":[0.9996853,0.00001973279,0.00003452236,0.0001748739,4.520703e-7,0.00008510728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008112918,0.00009404153,0.9541173,0.00001535834,0.00000580781,0.000003841877,0.04283615,0.00005681323,0.001464659,0.000002343437,0.0006699681,0.0007256159],"study_design_scores_gemma":[0.0007424069,0.00009962165,0.9104689,0.000008210017,0.00001366778,0.00000762836,0.08196468,0.0008735395,0.00004923169,0.00005608177,0.005485397,0.0002306402],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983136,0.00006227422,0.000004536063,0.0002968266,0.00001975533,0.0001599012,0.00006406491,0.00001734021,0.0010617],"genre_scores_gemma":[0.9983897,0.0003752749,0.00008776483,0.0004748721,0.000007542337,0.00003054976,0.00003820064,0.00001547741,0.00058066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04364839,"threshold_uncertainty_score":0.999597,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4390662278","doi":"10.1175/wcas-d-22-0105.1","title":"Why Livelihoods Matter in the Gendering of Household Water Insecurity","year":2024,"lang":"en","type":"article","venue":"Weather Climate and Society","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"International Development Research Centre","keywords":"Livelihood; Subsistence agriculture; Pastoralism; Livestock; Socioeconomics; Agriculture; Geography; Economics","authors":[{"name":"Elisabeth Kago Ilboudo Nébié","is_ca":false},{"name":"Alexandra Brewis","is_ca":false},{"name":"Amber Wutich","is_ca":false},{"name":"Yogo Pérenne","is_ca":false},{"name":"Kadidiatou Magassa","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02330827191538552,"gpt":0.259841669214557,"spread":0.2365333972991715,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002762399,0.00009795339,0.0001189851,0.00002565499,0.00008293273,0.0001181176,0.00009659212,0.00006852221,0.00008971201],"category_scores_gemma":[7.767595e-7,0.00005634587,0.0001180375,0.00007854158,0.00005640873,0.0001324319,0.00005167034,0.0001714033,0.00001441942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001363335,"about_ca_system_score_gemma":0.000001480422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001021341,"about_ca_topic_score_gemma":0.000008164781,"domain_scores_codex":[0.9993028,0.00004780615,0.0001637971,0.0001725883,0.0001042858,0.000208726],"domain_scores_gemma":[0.9997982,0.00003596345,0.00001211253,0.0001265462,0.000007891504,0.00001933579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001647344,0.0007575022,0.2410729,0.005017043,0.0001853569,0.00004478532,0.5722835,0.00001511916,0.03204156,0.001065815,0.1452354,0.002116319],"study_design_scores_gemma":[0.005561749,0.0004252614,0.4877447,0.002080281,0.0004033963,0.0002197026,0.02866388,0.004922761,0.1101365,0.02468598,0.3333191,0.001836714],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899046,0.000678099,0.00002075612,0.007635312,0.0001814394,0.0001342661,0.00002709184,0.00004794822,0.001370498],"genre_scores_gemma":[0.9926091,0.0003109264,0.00007810197,0.006854692,0.00009738561,0.000009210748,0.000008671878,0.00001874853,0.00001318869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5436196,"threshold_uncertainty_score":0.2297718,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4295182681","doi":"10.1175/wcas-d-22-0026.1","title":"Density Altitude: Climatology of Daily Maximum Values and Evaluation of Approximations for General Aviation","year":2022,"lang":"en","type":"article","venue":"Weather Climate and Society","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Humidity; Environmental science; Altitude (triangle); Density of air; Dew point; Meteorology; Range (aeronautics); Aviation; Atmospheric sciences; Relative humidity; Effects of high altitude on humans; Climatology; Geography; Mathematics; Engineering; Geology; Aerospace engineering","authors":[{"name":"Daniel J. Halperin","is_ca":false},{"name":"Thomas A. Guinn","is_ca":false},{"name":"Sarah Strazzo","is_ca":false},{"name":"R. L. Thomas","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01667277743345135,"gpt":0.2589478903493713,"spread":0.2422751129159199,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004698978,0.00006514641,0.000153742,0.00002555869,0.000131083,0.000004269096,0.00003888368,0.00006395984,0.00002377698],"category_scores_gemma":[0.000009656217,0.00006931739,0.00005243434,0.00007245538,0.00005489816,0.00005436992,0.00004574981,0.00006023254,2.309467e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002747025,"about_ca_system_score_gemma":0.00001037488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000056689,"about_ca_topic_score_gemma":0.000003226586,"domain_scores_codex":[0.9994677,0.00003001162,0.0001743473,0.0001021696,0.0001193632,0.0001064009],"domain_scores_gemma":[0.9997153,0.00003192235,0.0000741688,0.0000917185,0.00007387387,0.00001300299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001176107,0.0006858351,0.3514992,0.003783598,0.001266097,7.081698e-7,0.07400083,0.03111637,0.3028902,0.1777272,0.008629013,0.04828339],"study_design_scores_gemma":[0.002989479,0.0002422506,0.06318593,0.00001664962,0.000378366,0.00001292021,0.01142211,0.8464957,0.01450173,0.05988308,0.0005301575,0.0003415919],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934361,0.0003927639,0.005466475,0.0001015618,0.00005772435,0.000260138,0.00007424088,0.00005219548,0.0001588166],"genre_scores_gemma":[0.9945465,0.0004153372,0.004838915,0.00002981006,0.00001097837,0.00008405384,0.0000474603,0.00001082989,0.00001614783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8153794,"threshold_uncertainty_score":0.2826681,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2057887564","doi":"10.1175/2009wcas1018.1","title":"Post Hoc Evaluation of Hazardous Weather: Snowstorms in the Montréal, Québec, Area in March 2008","year":2009,"lang":"en","type":"article","venue":"Weather Climate and Society","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Winter storm; Storm; Closure (psychology); Meteorology; Hazardous waste; Relevance (law); Climate change; Severe weather; Environmental science; Perception; Environmental resource management; Geography; Engineering; Political science; Psychology; Ecology","authors":[{"name":"Jacques Descurieux","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0233831721028941,"gpt":0.2934189906150947,"spread":0.2700358185122006,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00236095,0.0000892195,0.0001358529,0.0000332531,0.0001906214,0.00005215902,0.0002181003,0.0000725888,0.00008425633],"category_scores_gemma":[0.00002861914,0.00006000124,0.00007979826,0.0002452289,0.0001936039,0.0001643524,0.00002758763,0.0000975318,0.000006354411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007923852,"about_ca_system_score_gemma":0.00008432898,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01365872,"about_ca_topic_score_gemma":0.0487797,"domain_scores_codex":[0.9986387,0.0002021772,0.0001881255,0.0001733417,0.0005245786,0.0002731097],"domain_scores_gemma":[0.9996443,0.00006108929,0.00006342093,0.0001474071,0.00005621168,0.0000275421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00008574612,0.0007387719,0.09021591,0.00005157936,0.00003384511,0.000007333193,0.7765954,0.0001487583,0.0007357945,0.005927654,0.00833318,0.1171261],"study_design_scores_gemma":[0.001837957,0.0002461589,0.5587841,0.0001116641,0.00007201549,0.000001011642,0.4086182,0.002478189,0.00001109712,0.00348521,0.02402991,0.0003244466],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9534786,0.002608714,0.000003721104,0.005290829,0.00003869493,0.0004161939,0.000004240516,0.00001286089,0.0381462],"genre_scores_gemma":[0.9946226,0.004230339,0.00004193943,0.0005671031,0.00003257106,0.0000158699,0.000002670419,0.000004312789,0.0004825207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4685682,"threshold_uncertainty_score":0.9929094,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3156775465","doi":"10.1175/wcas-d-20-0171.1","title":"Broadscale Assessment of Groundhog (Marmota monax) Predictions of Spring Onset No Better than Chance","year":2021,"lang":"en","type":"article","venue":"Weather Climate and Society","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"International Institute for Sustainable Development; Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada; Lakehead University","keywords":"Spring (device); Phenology; Shadow (psychology); Range (aeronautics); Geography; Ecology; Psychology; Engineering; Biology","authors":[{"name":"Alexander J. Ross","is_ca":true},{"name":"Ryan C. Grow","is_ca":true},{"name":"Lauren D. Hayhurst","is_ca":true},{"name":"Haley A. MacLeod","is_ca":true},{"name":"Graydon McKee","is_ca":true},{"name":"Kyle W. Stratton","is_ca":true},{"name":"Marissa E. Wegher","is_ca":true},{"name":"Michael D. Rennie","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009239573298402519,"gpt":0.2328257935506695,"spread":0.223586220252267,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001493434,0.00007809295,0.0001302075,0.000004935763,0.00008282554,0.00001036654,0.00005582926,0.00005658542,0.0003908825],"category_scores_gemma":[0.000003496456,0.00007260861,0.00009332185,0.00008697656,0.0001219265,0.000110938,0.000116216,0.00007531379,0.000009758734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004541547,"about_ca_system_score_gemma":0.000009791667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001942148,"about_ca_topic_score_gemma":0.00005515779,"domain_scores_codex":[0.9992872,0.00002873406,0.0001705366,0.0001859147,0.0001735456,0.0001540999],"domain_scores_gemma":[0.9996825,0.00002990022,0.00006447832,0.0001704421,0.00001486549,0.00003778443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001950218,0.00009605832,0.9533525,0.00004818826,0.00002765071,7.843418e-7,0.001211264,0.00002535131,0.04372301,0.0000830911,0.001095585,0.0003346125],"study_design_scores_gemma":[0.000249029,0.00004032451,0.9900431,0.00003774361,0.0000296764,0.00000295662,0.0003925221,0.003342974,0.004529292,0.0001331362,0.001116972,0.00008227578],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931185,0.0000698034,0.0006508046,0.0001381733,0.00006459691,0.00008514927,0.00005938785,0.00001444797,0.00579909],"genre_scores_gemma":[0.9946094,0.0005719029,0.00422583,0.0001326166,0.00002810696,0.00001072354,0.00001353414,0.000009334166,0.0003985983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03919372,"threshold_uncertainty_score":0.427989,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4280629379","doi":"10.1175/wcas-d-21-0150.1","title":"Climate Autobiography Timeline: Adapting Timeline Research Methods to the Study of Climate Perceptions","year":2022,"lang":"en","type":"article","venue":"Weather Climate and Society","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Memorial University of Newfoundland","funders":"Social Sciences and Humanities Research Council of Canada; Memorial University of Newfoundland; Marine Environmental Observation Prediction and Response Network","keywords":"Timeline; Climate change; Perception; Geography; Climatology; Psychology; Environmental resource management; Environmental science; Ecology","authors":[{"name":"Olivia Vilá","is_ca":false},{"name":"Joel Finnis","is_ca":true},{"name":"Marilyn Koitnurm","is_ca":true},{"name":"Mark C. J. Stoddart","is_ca":true},{"name":"Atanu Sarkar","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4339573028388097,"gpt":0.5491605045430733,"spread":0.1152032017042636,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01558778,0.0001745682,0.000296325,0.0001546324,0.006991675,0.0001425175,0.0006953314,0.00008998242,0.002385546],"category_scores_gemma":[0.00009304158,0.0001464304,0.0002454348,0.001513853,0.0003588381,0.0001253563,0.001308157,0.0006197474,0.0000540764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001234571,"about_ca_system_score_gemma":0.00004306989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001411716,"about_ca_topic_score_gemma":0.001384848,"domain_scores_codex":[0.9942212,0.003337699,0.0005056401,0.0004198586,0.0007449287,0.0007707035],"domain_scores_gemma":[0.9980488,0.0006829312,0.0001581471,0.0006796165,0.0002784655,0.0001520303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009189593,0.001189774,0.01874839,0.00006594706,0.00009279811,9.272103e-7,0.8971336,0.0001672221,0.002769129,0.00328273,0.004771956,0.07168563],"study_design_scores_gemma":[0.0005052412,0.0004427792,0.01564336,0.00002596645,0.00006562477,0.000001602359,0.8701528,0.001962399,0.0000046757,0.000116518,0.1108508,0.0002283286],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.965448,0.0005107952,0.0001085526,0.00690216,0.0002880954,0.001890666,0.0003243294,0.0002070066,0.02432036],"genre_scores_gemma":[0.959626,0.03189938,0.006203584,0.0009623588,0.0002765369,0.0005192028,0.00008201139,0.00005127938,0.0003797179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1060788,"threshold_uncertainty_score":0.9985264,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4393147622","doi":"10.1175/wcas-d-23-0105.1","title":"The Use of Weather, Water, Ice, and Climate (WWIC) Information in the Polar Regions: What Is Known after the Decadelong Polar Prediction Project?","year":2024,"lang":"en","type":"article","venue":"Weather Climate and Society","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University; University of Ottawa","funders":"","keywords":"Situation awareness; Context (archaeology); Information needs; Climate change; Environmental resource management; Computer science; Geography; Environmental science; Engineering; Ecology; World Wide Web","authors":[{"name":"Victoria J. Heinrich","is_ca":false},{"name":"Emma Stewart","is_ca":false},{"name":"Daniela Liggett","is_ca":false},{"name":"Jorge Carrasco","is_ca":false},{"name":"Jackie Dawson","is_ca":true},{"name":"Machiel Lamers","is_ca":false},{"name":"Gita Ljubicic","is_ca":true},{"name":"Jelmer Jeuring","is_ca":false},{"name":"Rick Thoman","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01507387723407847,"gpt":0.2217272452330235,"spread":0.206653367998945,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001041355,0.0001524625,0.0001217637,0.00002818817,0.0005864563,0.0007128671,0.0001463888,0.000107339,0.0000335258],"category_scores_gemma":[0.00001049006,0.00006260509,0.0001004011,0.0001623818,0.00028741,0.001671324,0.00004203272,0.0002719924,0.00001525034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006950815,"about_ca_system_score_gemma":0.0000247635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001074958,"about_ca_topic_score_gemma":0.0003077188,"domain_scores_codex":[0.9988304,0.0001236939,0.0002966969,0.0001660712,0.0002304063,0.0003527823],"domain_scores_gemma":[0.9993042,0.0003702803,0.00005662,0.0002087769,0.00003028788,0.00002977659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003149133,0.00005857748,0.4407949,0.000802686,0.0002730398,0.00001150136,0.4282375,0.0001117497,0.00003542092,0.002033157,0.002973377,0.1243533],"study_design_scores_gemma":[0.0007472464,0.0003019678,0.2472104,0.0006979725,0.0002865369,0.0001980477,0.1765289,0.1800891,0.00002067367,0.00188745,0.391554,0.0004777491],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986965,0.00684541,0.0000985412,0.004631264,0.0002710632,0.0005549729,0.0003396861,0.00004008298,0.0002539535],"genre_scores_gemma":[0.8796027,0.1183701,0.0001333046,0.00167042,0.00006334478,0.00001139513,0.00008424027,0.000006066584,0.0000584278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3885806,"threshold_uncertainty_score":0.6874194,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4377984969","doi":"10.1175/wcas-d-22-0107.1","title":"Outdoor Sport in Extreme Heat: Capturing the Personal Experiences of Elite Athletes","year":2023,"lang":"en","type":"article","venue":"Weather Climate and Society","topic":"Winter Sports Injuries and Performance","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Athletes; Thematic analysis; Preparedness; Elite; Grassroots; Climate change; Heat illness; Psychology; Snowball sampling; Football; Applied psychology; Political science; Qualitative research; Medicine; Sociology; Geography; Physical therapy; Politics; Social science; Ecology","authors":[{"name":"Kate Sambrook","is_ca":false},{"name":"Sally Russell","is_ca":false},{"name":"Yasmina Okan","is_ca":false},{"name":"Emmanouil Konstantinidis","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03550118526145957,"gpt":0.2704857721202831,"spread":0.2349845868588235,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003080276,0.00009002735,0.0001912705,0.00001862039,0.00008394498,0.00001146999,0.00005278601,0.00004748567,0.0001380995],"category_scores_gemma":[0.000002812934,0.00005476972,0.0001190267,0.0001349079,0.0001494074,0.00005664891,0.00004838214,0.0001087507,0.000006840584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001088192,"about_ca_system_score_gemma":0.00001659016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007493263,"about_ca_topic_score_gemma":0.000006340341,"domain_scores_codex":[0.9992952,0.000004164994,0.0001902129,0.0001442407,0.0001455344,0.0002206874],"domain_scores_gemma":[0.9997805,0.00001712576,0.00003241983,0.0001168335,0.0000175914,0.00003550903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00006019694,0.00004141416,0.4413061,0.0002217875,0.0000396532,0.00001979301,0.5531689,0.00000255579,0.001125881,0.0001072241,0.0006707423,0.003235716],"study_design_scores_gemma":[0.0008405123,0.0001299439,0.5480877,0.0005474539,0.00004005764,0.00002817855,0.4308635,0.004323722,0.0008498288,0.00002929459,0.01407122,0.00018861],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965699,0.0008188001,0.000001003324,0.0004545964,0.00009532568,0.0001099759,0.000004767913,0.00002889193,0.001916755],"genre_scores_gemma":[0.9946268,0.004080789,0.00005878671,0.0003958463,0.0001048689,0.00002117614,0.000007177314,0.000009771726,0.0006947442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1223054,"threshold_uncertainty_score":0.2233444,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4413043129","doi":"10.1175/wcas-d-24-0130.1","title":"Exploring Wildfire Preparedness, Perceptions, and Responses in Western Canada: Insights from Valemount, British Columbia","year":2025,"lang":"en","type":"article","venue":"Weather Climate and Society","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Simon Fraser University; University of Northern British Columbia","funders":"","keywords":"Preparedness; Environmental planning; Environmental resource management; Psychological resilience; Geography; Climate change; Emergency management; Resilience (materials science); Risk management; Natural hazard; Business; Political science; Ecology; Environmental science; Psychology","authors":[{"name":"Iván Villaverde Canosa","is_ca":false},{"name":"James D. Ford","is_ca":false},{"name":"Tristan Pearce","is_ca":true},{"name":"Jessica Whitehead","is_ca":true},{"name":"O. Torgerson","is_ca":false},{"name":"Jouni Paavola","is_ca":false},{"name":"Martin Østberg","is_ca":true},{"name":"J. M. Shea","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01279031874253094,"gpt":0.2086812034958361,"spread":0.1958908847533051,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001543165,0.0000968149,0.0001822577,0.000006323174,0.0002542096,0.0001861699,0.00008693891,0.00006252171,0.00009038851],"category_scores_gemma":[0.00001346721,0.0001308365,0.00003165679,0.0001155302,0.0001010314,0.000291638,0.0001657319,0.0001013034,0.00000556183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003144158,"about_ca_system_score_gemma":0.00004105475,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9489719,"about_ca_topic_score_gemma":0.9885826,"domain_scores_codex":[0.9990171,0.00009291655,0.0001780374,0.0003567553,0.0001384345,0.0002167465],"domain_scores_gemma":[0.9996381,0.0001091483,0.00003432132,0.0001579064,0.000002813079,0.00005768031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005826814,0.00002244541,0.9887194,0.00003085972,0.00001239494,0.00001194598,0.0049866,0.000001689576,0.0006886799,8.914355e-7,0.002730823,0.002788427],"study_design_scores_gemma":[0.0003545205,0.00001221962,0.9885039,0.0001684393,0.00001203879,0.000003967318,0.003752128,0.000540179,0.000007254611,0.00004045675,0.0064652,0.000139656],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983628,0.0004309112,0.000002323444,0.00006648099,0.0001330526,0.000212161,0.00005630423,0.00003242752,0.0007035581],"genre_scores_gemma":[0.9970751,0.001583124,0.00007704982,0.0003291742,0.00001904613,0.0000629184,0.000008731419,0.00001219279,0.0008326257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03961067,"threshold_uncertainty_score":0.5335358,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411672763","doi":"10.1175/wcas-d-24-0065.1","title":"Evaluating Navigational Information and Data Needs to Support Safe Shipping in Canadian Arctic Waters","year":2025,"lang":"en","type":"article","venue":"Weather Climate and Society","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Calgary; University of Ottawa","funders":"ArcticNet; Social Sciences and Humanities Research Council of Canada; Canada Research Chairs; Marine Environmental Observation Prediction and Response Network","keywords":"Arctic; Environmental science; The arctic; Environmental resource management; Computer science; Transport engineering; Oceanography; Engineering; Geology","authors":[{"name":"Jean Holloway","is_ca":true},{"name":"Jackie Dawson","is_ca":true},{"name":"Victoria Heinrich","is_ca":false},{"name":"Jelmer Jeuring","is_ca":false},{"name":"Machiel Lamers","is_ca":false},{"name":"Brent Else","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02340401722559877,"gpt":0.2856744408805886,"spread":0.2622704236549899,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003104339,0.00007818247,0.00008252597,0.0000996091,0.00006297489,0.00005926396,0.00009203581,0.00007079659,0.00000554185],"category_scores_gemma":[0.00003197388,0.0000786953,0.00001176258,0.0001819578,0.00001669721,0.0002303749,0.00007460467,0.0001127654,0.000004169974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009515969,"about_ca_system_score_gemma":0.00003131188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002706397,"about_ca_topic_score_gemma":0.001420161,"domain_scores_codex":[0.9995013,0.000003644966,0.0001338936,0.00007976658,0.0000552419,0.0002261566],"domain_scores_gemma":[0.9997644,0.00002470379,0.000006861415,0.0001417345,0.00001329563,0.00004897399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001317819,0.00002166869,0.468436,0.003035626,0.0003460087,0.000006134076,0.05080876,0.07314018,0.003013675,0.01465579,0.005730045,0.3807929],"study_design_scores_gemma":[0.001025061,0.00007846218,0.1704817,0.0006453509,0.0000586438,0.00001037933,0.01500566,0.7788702,0.000410402,0.0009976621,0.03172233,0.0006941553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970929,0.000102779,0.0004906998,0.0005369862,0.0001053067,0.0001152396,0.0000452988,0.000141305,0.001369476],"genre_scores_gemma":[0.9969347,0.0001955298,0.002583714,0.0001591433,0.000008836995,0.00001034865,0.00008640737,0.000006066018,0.00001525255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.70573,"threshold_uncertainty_score":0.4091281,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408050720","doi":"10.1175/wcas-d-23-0078.1","title":"How Do Vulnerable People Adapt to the Impact of Sedimentation in the Haor Wetlands of Northeastern Bangladesh?","year":2025,"lang":"en","type":"article","venue":"Weather Climate and Society","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Wetland; Sedimentation; Geography; Environmental resource management; Environmental planning; Socioeconomics; Environmental protection; Ecology; Environmental science; Biology; Sociology; Sediment","authors":[{"name":"Mohammad Nazrul Islam","is_ca":true},{"name":"Shah Md Atiqul Haq","is_ca":false},{"name":"Khandaker Jafor Ahmed","is_ca":false},{"name":"Jim Best","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007391959002398907,"gpt":0.25906362279926,"spread":0.2516716637968611,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000500681,0.00007611495,0.0001065485,0.00001162256,0.00009922106,0.00003820887,0.0001511727,0.00002493745,0.00007825888],"category_scores_gemma":[0.000002468822,0.00003875409,0.00008784069,0.0002262461,0.00004304945,0.00008561806,0.00008960451,0.00006466664,0.000003029124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003180877,"about_ca_system_score_gemma":0.000005327736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001575079,"about_ca_topic_score_gemma":0.001058268,"domain_scores_codex":[0.99942,0.00005853155,0.000111158,0.000119901,0.0001487757,0.0001416481],"domain_scores_gemma":[0.9997208,0.00004730081,0.00004835801,0.000164165,0.000004709818,0.00001474065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002713127,0.0001788518,0.945577,0.00004737703,0.00006979566,3.203124e-7,0.03349674,0.002881706,0.002290156,0.0005103645,0.0106007,0.0043199],"study_design_scores_gemma":[0.0005917609,0.0001528315,0.9629357,0.00002926688,0.00004269376,3.065668e-7,0.02829204,0.005146015,0.0002736114,0.0002036439,0.002246877,0.00008520353],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897064,0.00006257126,0.000316847,0.002477558,0.00002984553,0.0003356631,0.00001231163,0.000004713848,0.007054089],"genre_scores_gemma":[0.9989047,0.0001919302,0.0001875367,0.0001909282,0.000008716778,0.00002568175,0.000004695422,0.000003652092,0.0004821511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01735878,"threshold_uncertainty_score":0.2381059,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4416911622","doi":"10.1175/wcas-d-25-0047.1","title":"Striving for Rural Heat Resilience: A Systematic Literature Review","year":2025,"lang":"","type":"article","venue":"Weather Climate and Society","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"National Oceanic and Atmospheric Administration","keywords":"Indigenous; Systematic review; Corporate governance; Climate change; Rural area; Extreme heat; Extreme weather; Public sector","authors":[{"name":"Anne‐Lise Boyer","is_ca":false},{"name":"Minwoo Ahn","is_ca":false},{"name":"Ladd Keith","is_ca":false},{"name":"Heidi E. Brown","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0211507490188166,"gpt":0.3194420764634993,"spread":0.2982913274446827,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001850444,0.0004528806,0.0009949015,0.00003279686,0.001058865,0.000300619,0.0003033602,0.0003311175,0.0004056575],"category_scores_gemma":[0.0001254123,0.0003604376,0.0004831715,0.0006452945,0.0002432991,0.0003804245,0.0003290957,0.0003361456,0.0000521087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002933943,"about_ca_system_score_gemma":0.00004305169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002385651,"about_ca_topic_score_gemma":0.00001598555,"domain_scores_codex":[0.9969486,0.0001313152,0.0008695789,0.0006003354,0.0003271117,0.001123046],"domain_scores_gemma":[0.9985907,0.000336929,0.0001930196,0.0005372517,0.00004742344,0.0002946754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00003909043,0.000166417,0.004093623,0.9282399,0.0001007137,0.000005386536,0.01662308,0.000005280915,0.001491104,0.0006355303,0.04596972,0.0026302],"study_design_scores_gemma":[0.00193694,0.0004178187,0.01157008,0.9557638,0.001225154,0.00004391938,0.0169555,0.00548231,0.00009861543,0.0008845922,0.004656066,0.0009651931],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.04413089,0.9283994,0.0002263455,0.01245857,0.0008334914,0.007956172,0.0007590862,0.0001039977,0.005131984],"genre_scores_gemma":[0.07190908,0.9096048,0.0003771122,0.01568194,0.0000991654,0.0002908435,0.00003043104,0.00003276769,0.00197387],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.04131365,"threshold_uncertainty_score":0.9998848,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}