{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":70,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":70,"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"},"query_hash":"5db6933864b8","filters":{"venue":"PLOS Climate"}},"results":[{"id":"W4388540663","doi":"10.1371/journal.pclm.0000236","title":"Climate change, mental health, and reproductive decision-making: A systematic review","year":2023,"lang":"en","type":"review","venue":"PLOS Climate","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":153,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Great Ormond Street Institute of Child Health","keywords":"Overconsumption; Subsistence agriculture; Climate change; Mental health; Reproductive health; Nexus (standard); Psychology; Inclusion (mineral); Geography; Political science; Social psychology; Environmental health; Medicine; Population; Ecology; Agriculture; Psychiatry; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.2082682227134861,"gpt":0.4255605436331435,"spread":0.2172923209196574,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002466956,0.0008698071,0.004760688,0.0002084588,0.0006318577,0.0001056898,0.0005487498,0.0002562102,0.0004738396],"category_scores_gemma":[0.001092082,0.00065418,0.0003982557,0.001009073,0.000149849,0.0003324427,0.001463974,0.0005107067,0.006756249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007723829,"about_ca_system_score_gemma":0.00004207107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002159215,"about_ca_topic_score_gemma":0.00005433463,"domain_scores_codex":[0.9933543,0.0005324528,0.002157565,0.001514865,0.0008466992,0.001594079],"domain_scores_gemma":[0.9954787,0.0006506708,0.001829572,0.001356151,0.00002041317,0.0006644934],"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":[0.000005523155,0.00006504885,0.000006284208,0.831796,0.00003824234,0.00002732795,0.0006213623,1.173573e-8,3.556717e-8,0.00001565964,0.00407497,0.1633496],"study_design_scores_gemma":[0.00009907232,0.000142027,0.000008285091,0.9240997,0.0008860993,0.0001536517,0.0001096592,0.00001134101,2.446182e-8,0.00009499333,0.07383437,0.0005608064],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000008644862,0.9862674,2.865613e-7,0.0008898996,0.0003787007,0.0107463,0.0008483059,0.0002795744,0.0005808526],"genre_scores_gemma":[7.497617e-7,0.9940784,0.000197022,0.002906089,0.0002387786,0.002079404,0.0002496917,0.0002051775,0.00004468968],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.1627888,"threshold_uncertainty_score":0.9995909,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4362676224","doi":"10.1371/journal.pclm.0000169","title":"Going beyond market-based mechanisms to finance nature-based solutions and foster sustainable futures","year":2023,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":68,"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":"University of Oxford","keywords":"Convention on Biological Diversity; Corporate governance; Economics; Market failure; Futures contract; Business; Finance; Public economics; Biodiversity","retraction":null,"screen_n_in":null,"score":{"opus":0.04672379093030599,"gpt":0.2109655336075979,"spread":0.1642417426772919,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000626952,0.0001539841,0.0002427717,0.0002470227,0.0003526438,0.0000876222,0.000123246,0.0001310431,0.0003710098],"category_scores_gemma":[0.00007078187,0.0001883286,0.00006429669,0.0002193848,0.0000321494,0.0001967069,0.0001273762,0.0001379905,0.001139089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001606583,"about_ca_system_score_gemma":0.00001250998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001356433,"about_ca_topic_score_gemma":0.00001613604,"domain_scores_codex":[0.9986449,0.00001601451,0.0003309232,0.0004307402,0.00003877979,0.0005386453],"domain_scores_gemma":[0.9994381,0.00008160622,0.0001361087,0.0002564775,0.00001102314,0.00007665817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002141581,0.0003684493,0.1030791,0.0007458116,0.0001205712,0.00004391154,0.0006814563,0.01430102,0.001699709,0.8509585,0.02611782,0.001669495],"study_design_scores_gemma":[0.002983764,0.0003871383,0.4940859,0.0001284594,0.00005310776,0.000002524115,0.0008757456,0.3374973,0.005558735,0.1291983,0.0278155,0.001413522],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977431,0.0005894769,0.002896011,0.003798429,0.0002817617,0.0005646372,0.0002964123,0.000140409,0.01400185],"genre_scores_gemma":[0.9934491,0.0001374732,0.002387055,0.002116651,0.00004564117,0.0001359045,0.00007233016,0.00003622526,0.001619646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7217602,"threshold_uncertainty_score":0.9996386,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4280500806","doi":"10.1371/journal.pclm.0000029","title":"Global hydro-climatological indicators and changes in the global hydrological cycle and rainfall patterns","year":2022,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Climate variability and models","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Environment and Climate Change Canada","funders":"Norsk Institutt for Vannforskning","keywords":"Precipitation; Water cycle; Environmental science; Climatology; Global change; Trend analysis; Global warming; Climate change; Meteorology; Geology; Geography; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.01779611213502815,"gpt":0.2399093645976607,"spread":0.2221132524626326,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007421597,0.0001721912,0.000222849,0.00002110402,0.0003549759,0.00005128457,0.0003333414,0.00008070315,0.001087709],"category_scores_gemma":[0.00004701683,0.0001226663,0.0000328522,0.0003173558,0.0002999243,0.00008470077,0.00137679,0.000201226,0.00002032709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001714706,"about_ca_system_score_gemma":0.000003444603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002212808,"about_ca_topic_score_gemma":0.0007389105,"domain_scores_codex":[0.9980989,0.0003240697,0.0002121323,0.0004967916,0.0003649516,0.0005031901],"domain_scores_gemma":[0.9994594,0.00013046,0.00007073454,0.000231684,0.000001314775,0.0001063717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004443138,0.0002687871,0.9955606,0.0000138137,0.000005305162,0.0000503976,0.0005215304,0.0002522302,0.00003690543,0.002696465,0.00002103221,0.0005284265],"study_design_scores_gemma":[0.0006424186,0.0002907973,0.9725012,0.000006565119,0.00002930422,0.0001833958,0.0007458374,0.009220065,0.000004980733,0.01521857,0.0009036844,0.0002531464],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902772,0.00005176927,0.0000040919,0.003460043,0.00003350873,0.0003353322,0.0002913685,0.00005077595,0.005495874],"genre_scores_gemma":[0.9973959,0.000205581,0.00008572148,0.002153044,0.00001162374,0.0001224852,0.00001924936,0.000005040851,0.000001376457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02305944,"threshold_uncertainty_score":0.9998254,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4323309331","doi":"10.1371/journal.pclm.0000153","title":"Nothing about us without us: The urgent need for disability-inclusive climate research","year":2023,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University; McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Nothing; Climate change; Political science; Psychology; Epistemology; Philosophy; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.1601644437541963,"gpt":0.4208424632873831,"spread":0.2606780195331868,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003712916,0.000262164,0.0003465211,0.00007730581,0.00206109,0.0001720224,0.0006059934,0.0001304263,0.001335453],"category_scores_gemma":[0.000928851,0.0001852791,0.0001361777,0.0008376525,0.000564321,0.0003002835,0.001433753,0.0004312302,0.003622374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005914009,"about_ca_system_score_gemma":0.0000253993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004552459,"about_ca_topic_score_gemma":0.0007531999,"domain_scores_codex":[0.9955262,0.0002299622,0.0005212974,0.0006347414,0.000948035,0.002139764],"domain_scores_gemma":[0.9974043,0.001149823,0.0001512448,0.0007664975,0.00004987777,0.0004782701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007081638,0.0006452625,0.914728,0.001450487,0.00005507564,0.00003585908,0.03049388,0.0008276186,0.02140042,0.0005572826,0.02253171,0.006566169],"study_design_scores_gemma":[0.002915241,0.000867861,0.8041436,0.0008947079,0.0001679081,0.00002050589,0.01119353,0.05111891,0.007073352,0.004946667,0.1153426,0.001315102],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740446,0.00005952316,0.000003439499,0.01833343,0.0002921462,0.002010658,0.0003236897,0.0002565439,0.004675936],"genre_scores_gemma":[0.9927919,0.001622215,0.0002345411,0.003615159,0.0004587806,0.0008062469,0.0001247797,0.0001007066,0.0002456783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1105844,"threshold_uncertainty_score":0.9995775,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4289261541","doi":"10.1371/journal.pclm.0000037","title":"ENSO-driven extreme oscillations in mean sea level destabilise critical shoreline mangroves—An emerging threat","year":2022,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Nipissing University","funders":"Department of the Environment, Australian Government; Australian Government","keywords":"Mangrove; Sea level; Shore; Oceanography; Tide gauge; Environmental science; Geography; Ecology; Geology; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.07223196207668256,"gpt":0.2790594310382423,"spread":0.2068274689615597,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003606633,0.0001785795,0.0002109959,0.00008353188,0.0004089295,0.00004225098,0.0003024006,0.0000393097,0.005456814],"category_scores_gemma":[0.00007290076,0.0001876608,0.00006136826,0.0003286669,0.000080873,0.0003105967,0.0008780092,0.000234417,0.0002040681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004936043,"about_ca_system_score_gemma":0.000009300709,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006134261,"about_ca_topic_score_gemma":0.02042196,"domain_scores_codex":[0.9979494,0.0001525633,0.0003721004,0.0004747399,0.0004946418,0.0005565513],"domain_scores_gemma":[0.9992428,0.0001288875,0.00005101123,0.0004009483,0.000009734944,0.0001666476],"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":[0.00006691051,0.0006820671,0.9225145,0.00006502849,0.00001076567,0.0001064342,0.002721683,0.06043879,0.0103318,0.0009414049,0.0001841325,0.001936473],"study_design_scores_gemma":[0.0005099697,0.0001416291,0.126726,0.00003086896,0.00003635696,0.00003781755,0.001916501,0.8682695,0.00007268305,0.001188617,0.0006143429,0.0004556693],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938803,0.00001472808,0.0002294038,0.0005841519,0.0001320537,0.0002901179,0.0004667032,0.00009500404,0.004307559],"genre_scores_gemma":[0.9978526,0.00001799652,0.001628742,0.0000914935,0.00003432687,0.00008187167,0.0001577986,0.00003837796,0.00009683298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8078308,"threshold_uncertainty_score":0.9974528,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4319342859","doi":"10.1371/journal.pclm.0000103","title":"Understanding perceptions of climate vulnerability to inform more effective adaptation in coastal communities","year":2023,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Nature Conservancy of Canada; University of Victoria","funders":"University of Washington","keywords":"Vulnerability (computing); Climate change; Adaptive capacity; Perception; Environmental resource management; Social vulnerability; Vulnerability assessment; Adaptation (eye); Geography; Environmental planning; Psychological resilience; Psychology; Ecology; Social psychology; Environmental science; Computer security; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.5815427734497248,"gpt":0.4610438652788077,"spread":0.1204989081709171,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001442606,0.0001106109,0.000212673,0.0003567776,0.0008736012,0.00005837778,0.0002470392,0.00009128688,0.0004529308],"category_scores_gemma":[0.0002200341,0.0001209638,0.00006449804,0.001118978,0.0002819565,0.0003278002,0.0002197503,0.0001906584,0.0001810954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003802287,"about_ca_system_score_gemma":0.00002986074,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002327043,"about_ca_topic_score_gemma":0.0938622,"domain_scores_codex":[0.9983936,0.0004297699,0.0003396527,0.0001214673,0.0003259822,0.0003895168],"domain_scores_gemma":[0.9987276,0.0006495236,0.0001034558,0.0003080522,0.000122364,0.00008902287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001339009,0.0002145858,0.1835048,0.000253935,0.00001643563,9.502239e-7,0.7881691,0.001280305,0.001234846,0.0180441,0.00007479418,0.007072303],"study_design_scores_gemma":[0.0003248773,0.0000681341,0.3119816,0.0001963902,0.0000133435,2.178749e-7,0.6803455,0.005731792,0.00002109171,0.0008336935,0.0003198824,0.0001634937],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717182,0.000004279342,0.0001164333,0.001838957,0.00009035247,0.0007009372,0.0002224513,0.0002011054,0.02510728],"genre_scores_gemma":[0.9962185,0.003036826,0.0001281741,0.0001040396,0.00002804446,0.0001552597,0.0002884584,0.00001391889,0.00002680538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1284769,"threshold_uncertainty_score":0.9226725,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4383989125","doi":"10.1371/journal.pclm.0000241","title":"Climate obstruction in the Global South: Future research trajectories","year":2023,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Climate change; Political science; Political economy of climate change; Politics; Collective action; Global warming; Political economy; Action (physics); Development economics; Sociology; Economics; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.05554920157728802,"gpt":0.3048927859242785,"spread":0.2493435843469905,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009425293,0.0001237218,0.0001031895,0.00004105077,0.0003736458,0.00006189963,0.000330993,0.00009328328,0.0005503782],"category_scores_gemma":[0.00005059576,0.00008718982,0.00003984306,0.001041249,0.0002041217,0.0002318529,0.0002410558,0.0002564988,0.003251619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001920023,"about_ca_system_score_gemma":0.00000301341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000668599,"about_ca_topic_score_gemma":0.0002770182,"domain_scores_codex":[0.9979157,0.0002101744,0.0001666961,0.0002806755,0.0006464053,0.0007803895],"domain_scores_gemma":[0.9994938,0.00008344494,0.00003495708,0.000314882,0.000002673008,0.00007017626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001067652,0.0001718021,0.9672979,0.0000429388,0.00001286103,0.00008540966,0.007475609,0.006689177,0.00340435,0.005634833,0.001455613,0.007622776],"study_design_scores_gemma":[0.000182248,0.00004739422,0.9873424,0.00001605517,0.000006488632,0.000006890513,0.004391602,0.0002470576,0.000371515,0.002640272,0.004621201,0.000126908],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810676,0.00003278795,3.332232e-7,0.0008991599,0.0001865431,0.0001430284,0.00003718848,0.00008927309,0.01754406],"genre_scores_gemma":[0.9988199,0.0007165031,0.00005704405,0.0001100362,0.0001713068,0.00003935463,0.00002897363,0.0000121509,0.0000446997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0200445,"threshold_uncertainty_score":0.9975244,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4320908360","doi":"10.1371/journal.pclm.0000071","title":"High-velocity upward shifts in vegetation are ubiquitous in mountains of western North America","year":2023,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Institute at Brown for Environment and Society, Brown University","keywords":"Vegetation (pathology); Subarctic climate; Climate change; Physical geography; Elevation (ballistics); Range (aeronautics); Ecosystem; Climatology; Environmental science; Latitude; Geography; Ecology; Geology; Oceanography","retraction":null,"screen_n_in":null,"score":{"opus":0.02962285718458971,"gpt":0.248821015288798,"spread":0.2191981581042083,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001522148,0.0001198582,0.0002391798,0.00008807228,0.00003921384,0.00001680489,0.0001829704,0.00005053637,0.001991965],"category_scores_gemma":[0.00004938752,0.0001191491,0.00003796403,0.000881545,0.000102131,0.0001413252,0.0001852683,0.0001045211,0.0023773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004187715,"about_ca_system_score_gemma":0.000005052363,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006294773,"about_ca_topic_score_gemma":0.01921252,"domain_scores_codex":[0.9986449,0.00005918281,0.0003483269,0.0002599743,0.0003213546,0.0003662963],"domain_scores_gemma":[0.9995319,0.00004526821,0.0001642324,0.0001942598,0.000009247167,0.00005504104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002197753,0.0001476143,0.9961206,0.00005337458,0.000003104488,0.00002472286,0.0008460672,0.0009367483,0.001115029,0.00004801883,0.000130881,0.0005518012],"study_design_scores_gemma":[0.0003440341,0.00003148992,0.9966576,0.00003214706,0.000004189407,2.47822e-7,0.001183017,0.0007873747,0.0005083553,0.00005472296,0.00027767,0.0001191941],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997506,0.000007163967,0.000003357284,0.0003286376,0.00005905335,0.0001779992,0.00015364,0.00006103367,0.001703118],"genre_scores_gemma":[0.9993268,0.0001963624,0.00002171102,0.0001556333,0.00001017253,0.00003965164,0.0002143298,0.00001198969,0.00002338393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01858304,"threshold_uncertainty_score":0.9989203,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4390972980","doi":"10.1371/journal.pclm.0000290","title":"Sea otter recovery buffers century-scale declines in California kelp forests","year":2024,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Kelp; Kelp forest; Geography; Climate change; Ecology; Environmental science; Marine protected area; Population; Fishery; Habitat; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.01229723293186676,"gpt":0.2087958365511798,"spread":0.196498603619313,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001511406,0.0001384269,0.0001735306,0.0001156609,0.00004846811,0.00007907461,0.00013524,0.00008960401,0.002416447],"category_scores_gemma":[0.00001838356,0.0001023109,0.00006046838,0.0001788675,0.00003598033,0.0001504383,0.00003211724,0.000167861,0.002106921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004512825,"about_ca_system_score_gemma":0.00002104332,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003543654,"about_ca_topic_score_gemma":0.09431387,"domain_scores_codex":[0.998889,0.00004768581,0.0002259755,0.0002903857,0.0001195188,0.0004274843],"domain_scores_gemma":[0.9995968,0.0001631572,0.00002438742,0.0001203568,0.0000104264,0.00008485186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008054257,0.0000162834,0.9339901,0.0001263807,0.00001513901,0.0001937071,0.00003895753,0.0001137559,0.00005345695,0.00001261092,0.001534571,0.06382455],"study_design_scores_gemma":[0.0003203733,0.0002431595,0.8011595,0.0002092798,0.00003861044,0.0000729062,0.0000962807,0.04165525,0.0002138167,0.001687779,0.1538305,0.0004725665],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717054,0.0006708463,0.000004517429,0.0005480032,0.0004923827,0.0001219391,0.001076134,0.00009080184,0.02528992],"genre_scores_gemma":[0.9964672,0.001219128,0.0000960164,0.0005644365,0.0001962761,0.000002919081,0.0009454085,0.000006043823,0.0005025388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1522959,"threshold_uncertainty_score":0.99867,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4285092437","doi":"10.1371/journal.pclm.0000055","title":"Climate change sociology: Past contributions and future research needs","year":2022,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Climate change; Environmental sociology; Sociology; Environmental ethics; Regional science; Social science; Philosophy; Geology; Oceanography","retraction":null,"screen_n_in":null,"score":{"opus":0.2466335735880635,"gpt":0.4023958826753738,"spread":0.1557623090873103,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00339536,0.0001415194,0.0002231879,0.0003444384,0.005697813,0.0001261213,0.0002625491,0.0001431977,0.0009542484],"category_scores_gemma":[0.0001761551,0.0001538622,0.0000592721,0.0008551744,0.0006209227,0.0003483082,0.0003563957,0.0005338441,0.0001058754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004786888,"about_ca_system_score_gemma":0.00007169064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003704552,"about_ca_topic_score_gemma":0.001429091,"domain_scores_codex":[0.9963719,0.001268255,0.0002692456,0.0003261132,0.0007544084,0.001010034],"domain_scores_gemma":[0.9986868,0.0004337706,0.000131464,0.000215809,0.0003514295,0.0001807649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001347713,0.0003787126,0.04036941,0.0001030281,0.00005008555,0.00001937005,0.3650009,0.000002397361,0.001883183,0.5795341,0.005279951,0.007244139],"study_design_scores_gemma":[0.001223508,0.0003648405,0.04017744,0.00004546236,0.00009252821,0.00000886812,0.5281516,0.0005916862,0.0000814712,0.009028898,0.4196559,0.0005776965],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9273177,0.001787787,0.000003254728,0.05478455,0.000748397,0.001300105,0.001366599,0.0003143938,0.01237721],"genre_scores_gemma":[0.9825292,0.0121891,0.00007420041,0.0007652323,0.002755622,0.001060264,0.0004118147,0.00003404176,0.0001805559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5705052,"threshold_uncertainty_score":0.999959,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400526147","doi":"10.1371/journal.pclm.0000453","title":"High coral heat tolerance at local-scale thermal refugia","year":2024,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria; University of British Columbia","funders":"European Research Council; Natural Environment Research Council; International Coral Reef Society; Royal Geographical Society; UK Research and Innovation; Idea Wild","keywords":"Reef; Acropora; Coral; Coral bleaching; Coral reef; Ecology; Heat wave; Hotspot (geology); Heat stress; Biology; Environmental science; Climate change; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.008760620118497738,"gpt":0.2031065944039685,"spread":0.1943459742854708,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00008093443,0.0001500098,0.0001816922,0.00001392172,0.0001810602,0.00003858306,0.0001310479,0.00003696013,0.003684314],"category_scores_gemma":[0.000002725945,0.0001129754,0.00006284822,0.0001318352,0.0001100728,0.0001549017,0.0006386205,0.00009485721,0.006842927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000190086,"about_ca_system_score_gemma":0.000002177221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004177625,"about_ca_topic_score_gemma":0.00103568,"domain_scores_codex":[0.9988813,0.00002183476,0.0001827912,0.000337425,0.0002097113,0.0003669545],"domain_scores_gemma":[0.9996886,0.00003018418,0.00001679594,0.0001884448,0.000004021969,0.00007190529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003897004,0.0005727791,0.6261289,0.001302519,0.0002075534,0.00057744,0.002665144,0.002815394,0.2214791,0.001642666,0.07456653,0.06765227],"study_design_scores_gemma":[0.0009227786,0.0004499851,0.6461326,0.0005729273,0.0001698354,0.00007710503,0.0002147742,0.04959076,0.03132624,0.000651006,0.2684979,0.001394133],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976359,0.0003013391,0.00001602836,0.0006522352,0.0005092752,0.0001446554,0.0000324936,0.0002056102,0.02177943],"genre_scores_gemma":[0.9953994,0.0001147857,0.0001024131,0.0001584555,0.0001131508,0.00003996775,0.000009439976,0.00001964826,0.004042803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1939313,"threshold_uncertainty_score":0.9972265,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392545237","doi":"10.1371/journal.pclm.0000152","title":"Temperature impacts on dengue incidence are nonlinear and mediated by climatic and socioeconomic factors: A meta-analysis","year":2024,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Tula Foundation; Fisheries and Oceans Canada; University of British Columbia","funders":"Fogarty International Center; University of British Columbia; Stanford Woods Institute for the Environment; U.S. Geological Survey; Stanford University Center for Innovation in Global Health; National Institutes of Health; National Science Foundation","keywords":"Dengue fever; Meta-analysis; Socioeconomic status; Incidence (geometry); Environmental health; Environmental science; Medicine; Mathematics; Virology; Internal medicine; Population","retraction":null,"screen_n_in":null,"score":{"opus":0.02495093025253209,"gpt":0.2895235133793151,"spread":0.2645725831267831,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001916631,0.0003000241,0.001068498,0.0001847908,0.00009965577,0.0002072027,0.00007023035,0.0001338984,0.0005382673],"category_scores_gemma":[0.0001894386,0.0001998726,0.0004102924,0.0002288209,0.00006405975,0.0001480021,0.00005408033,0.0002744984,0.00007471515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005110764,"about_ca_system_score_gemma":0.0000453372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002930274,"about_ca_topic_score_gemma":0.00004499105,"domain_scores_codex":[0.9984899,0.0000652918,0.0003548024,0.000517608,0.0002215155,0.0003508792],"domain_scores_gemma":[0.9987973,0.0003814361,0.0001069182,0.0003100582,0.00006046688,0.0003438029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.001002136,0.001675454,0.4595693,0.01000567,0.4315726,0.001232688,0.004950522,0.00004939538,0.07919,0.0004517362,0.009630407,0.0006700001],"study_design_scores_gemma":[0.003258829,0.0008760731,0.1997179,0.000571316,0.7019274,0.00004879509,0.002590227,0.08539325,0.003263969,0.0001489429,0.0008516064,0.001351703],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753861,0.02030883,0.000001361373,0.002415845,0.00003100613,0.0003697146,0.001320877,0.0001137385,0.00005248775],"genre_scores_gemma":[0.9964184,0.001637699,0.00004000128,0.001323512,0.00007264883,0.00004881971,0.0003475416,0.00003781033,0.00007352375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2703548,"threshold_uncertainty_score":0.8150568,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4220964246","doi":"10.1371/journal.pclm.0000014","title":"Tracking and forecasting community responses to climate perturbations in the California Current Ecosystem","year":2022,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":17,"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; Simon Fraser University; Fisheries and Oceans Canada","funders":"National Marine Fisheries Service; U.S. Fish and Wildlife Service; National Oceanic and Atmospheric Administration","keywords":"Ecosystem; Environmental science; Climate change; Regime shift; Marine ecosystem; Ecology; Climatology; Environmental resource management; Geography; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.09885423058429689,"gpt":0.2974566406428711,"spread":0.1986024100585743,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001785963,0.00008287672,0.0001068479,0.00005141767,0.001222322,0.00008417687,0.0003333254,0.00001226974,0.001161929],"category_scores_gemma":[0.000244555,0.00006467671,0.00002312903,0.0003090768,0.00003874863,0.00009720711,0.001266458,0.0004602034,0.0000438828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001308952,"about_ca_system_score_gemma":0.000005251879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002612131,"about_ca_topic_score_gemma":0.00136295,"domain_scores_codex":[0.998139,0.0008024072,0.0002127409,0.0001494981,0.0003411509,0.0003552294],"domain_scores_gemma":[0.9991416,0.0005011578,0.00004435924,0.0002501528,0.000005810737,0.00005693187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001108922,0.0002071565,0.9593822,0.00008945096,0.000003382764,0.00001155856,0.005969788,0.0002029405,0.0004868654,0.0001093515,0.000209734,0.03321668],"study_design_scores_gemma":[0.0007027386,0.000458019,0.7748787,0.00006056335,0.00002188219,0.00007850931,0.01725193,0.04191997,0.00007560745,0.0003291513,0.1637202,0.0005027138],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807402,0.00001203425,0.000004902199,0.0006321801,0.00002828607,0.0003342526,0.0002156153,0.00001958575,0.01801291],"genre_scores_gemma":[0.9993985,0.00005102972,0.00007347174,0.0002024085,0.00001215965,0.0002042232,0.00002049959,0.000009833776,0.00002782158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1845035,"threshold_uncertainty_score":0.9997512,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4407594171","doi":"10.1371/journal.pclm.0000488","title":"Recent climate change strongly impacted the population dynamic of a North American insect pest species","year":2025,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Spruce budworm; Choristoneura fumiferana; Phenology; Climate change; Ecology; Population; Taiga; PEST analysis; Range (aeronautics); Vital rates; Ecosystem; Biology; Geography; Environmental science; Population growth; Tortricidae; Lepidoptera genitalia; Demography","retraction":null,"screen_n_in":null,"score":{"opus":0.01682668817732118,"gpt":0.2376181409640415,"spread":0.2207914527867203,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000251271,0.0001848103,0.0002905127,0.00007025323,0.0001682274,0.00003500179,0.0002959944,0.00002720486,0.0001634661],"category_scores_gemma":[0.00007815137,0.0001338286,0.00006588223,0.0007955435,0.0001633733,0.0001920657,0.0002502509,0.0001348999,0.0001464791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003398729,"about_ca_system_score_gemma":0.00000487804,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001704372,"about_ca_topic_score_gemma":0.0187184,"domain_scores_codex":[0.9984354,0.000164709,0.0003426308,0.0002844161,0.0003134414,0.0004594412],"domain_scores_gemma":[0.9990794,0.0001197161,0.0002977235,0.0004336735,0.00001493682,0.00005453749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005255352,0.0001090116,0.9719622,0.00007896763,0.00002324752,0.000001970456,0.0002312617,0.00009643805,0.001490752,0.00002859785,0.00004255044,0.02588242],"study_design_scores_gemma":[0.0001747243,0.0001174534,0.9805188,0.00006838093,0.00004007967,0.000001252737,0.00005737204,0.01839739,0.0001687574,0.00000545849,0.0003271344,0.0001232063],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964247,0.00004343894,0.000003636403,0.0005031647,0.0001687244,0.0007296329,0.000150546,0.00008404544,0.001892068],"genre_scores_gemma":[0.9988166,0.0008065058,0.00005785185,0.0001004651,0.00002493882,0.00007550417,0.00007016354,0.00001993491,0.00002804511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02575921,"threshold_uncertainty_score":0.9991874,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401990215","doi":"10.1371/journal.pclm.0000485","title":"Climatic predictors of prominent honey bee (Apis mellifera) disease agents: Varroa destructor, Melissococcus plutonius, and Vairimorpha spp.","year":2024,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Insect and Pesticide Research","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Canadian Water and Wastewater Association; University of Manitoba; University of Lethbridge; Université Laval; University of Victoria; Environment and Climate Change Canada; Canada's Michael Smith Genome Sciences Centre; York University; University of Guelph; Agriculture and Agri-Food Canada; University of British Columbia","funders":"Génome Québec; Ontario Genomics Institute; Genome Canada","keywords":"Varroa; Honey bee; Varroa destructor; Biology; Infestation; Ecology; Veterinary medicine; Spore; Zoology; Agronomy; Botany; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.02847515883624019,"gpt":0.2541966251846464,"spread":0.2257214663484062,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003356872,0.0002246856,0.0003017228,0.00004131139,0.0001767796,0.000158231,0.0002442925,0.00008620327,0.001738169],"category_scores_gemma":[0.0001976328,0.00009270999,0.0001189052,0.0003492363,0.0001566878,0.0001907072,0.0001811709,0.0001870498,0.0001020693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004167037,"about_ca_system_score_gemma":0.00003509496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001072336,"about_ca_topic_score_gemma":0.00005233699,"domain_scores_codex":[0.9980357,0.0001192433,0.0003864674,0.0004085168,0.0005089132,0.0005411604],"domain_scores_gemma":[0.9989519,0.0003735009,0.00007624489,0.00008730641,0.00008464517,0.000426438],"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":[0.0002127614,0.0003031181,0.1579571,0.001997145,0.0001957359,0.0001616145,0.0005529571,0.000006189652,0.829944,0.001333614,0.001256049,0.006079663],"study_design_scores_gemma":[0.0009722593,0.001748871,0.7790884,0.002331604,0.0008808619,0.00004111966,0.0005549575,0.01854245,0.184408,0.00659574,0.003319697,0.001516081],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958757,0.001686434,7.609625e-7,0.0007458038,0.000166302,0.0005264687,0.0006042204,0.0001346271,0.0002596898],"genre_scores_gemma":[0.9976977,0.001610428,0.00006495869,0.0000605145,0.0002640391,0.00006187458,0.0001343846,0.00000489213,0.0001012671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6455361,"threshold_uncertainty_score":0.9991744,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4388126386","doi":"10.1371/journal.pclm.0000307","title":"Unsettling NbS: A pathway towards shifting colonial power relations in nature-based solutions research and practice","year":2023,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Indigenous Health, Education, and Rights","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Simon Fraser University; Pacific Institute for Climate Solutions; University of Victoria","keywords":"Indigenous; Colonialism; Corporate governance; Sociology; Action research; Knowledge production; Power (physics); Political science; Public relations; Law; Management; Knowledge management; Computer science; Ecology; Pedagogy; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.1013010676547948,"gpt":0.4220382872735526,"spread":0.3207372196187578,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.006908566,0.00007928212,0.0001196546,0.0003758002,0.009062285,0.0001385207,0.0001411842,0.000245517,0.00005041882],"category_scores_gemma":[0.0008358345,0.00007489699,0.00002388091,0.001436788,0.0002857275,0.0003405659,0.000007326376,0.0006773636,0.000174961],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003405694,"about_ca_system_score_gemma":0.007684586,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02102883,"about_ca_topic_score_gemma":0.3841378,"domain_scores_codex":[0.9970635,0.0009648621,0.0002580245,0.0002695626,0.0005524493,0.0008916041],"domain_scores_gemma":[0.996727,0.002520276,0.00008748837,0.0001467282,0.0003815619,0.000136973],"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":[0.0000709588,0.0004000152,0.002754425,0.00006604144,0.00001299624,0.00002519414,0.5553724,0.0000525383,0.00004046552,0.4409527,0.0001695716,0.00008276748],"study_design_scores_gemma":[0.001619737,0.0004429139,0.04977993,0.0007287179,0.00005210732,0.000006744658,0.1103957,0.002908627,0.0002212653,0.02717785,0.8058813,0.000785177],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8765106,0.0002055906,0.000005906661,0.01470378,0.0004320749,0.00070505,0.00003333685,0.0001667191,0.1072369],"genre_scores_gemma":[0.9966564,0.001489741,0.000619297,0.00009111725,0.0002458258,0.00002477147,0.00003208637,0.00001719094,0.0008235667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8057117,"threshold_uncertainty_score":0.9979409,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4322730966","doi":"10.1371/journal.pclm.0000095","title":"Climate warming erodes tropical reef habitat through frequency and intensity of episodic hypoxia","year":2023,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary 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":"Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada; Smithsonian Tropical Research Institute; Canada Foundation for Innovation; Smithsonian Institution; National Science Foundation","keywords":"Hypoxia (environmental); Coral reef; Environmental science; Habitat; Ecosystem; Global warming; Reef; Climate change; Ecology; Oceanography; Effects of global warming on oceans; Marine ecosystem; Habitat destruction; Ocean acidification; Atmospheric sciences; Oxygen; Biology; Geology; Chemistry","retraction":null,"screen_n_in":null,"score":{"opus":0.031514064766042,"gpt":0.2443317123505606,"spread":0.2128176475845186,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002811765,0.0001424237,0.0002841533,0.00009583087,0.0002224023,0.00004550544,0.0001393999,0.00007047701,0.0001866919],"category_scores_gemma":[0.0002362492,0.0001053564,0.00005972013,0.0002933762,0.0002403343,0.0002608151,0.00003683791,0.0001229707,0.0003620322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002870983,"about_ca_system_score_gemma":0.00001072009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007050687,"about_ca_topic_score_gemma":0.00009824086,"domain_scores_codex":[0.998691,0.00009493819,0.0003001617,0.0002889051,0.0002160795,0.0004089538],"domain_scores_gemma":[0.9990734,0.0004516184,0.0001148973,0.0002142594,0.00005335461,0.00009239784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001710345,0.00003379959,0.9848835,0.0003230928,0.00002916474,0.0000416146,0.0004988493,0.00003388468,0.0067661,0.0007620078,0.0001763889,0.006280601],"study_design_scores_gemma":[0.0002089588,0.0001547172,0.9900368,0.00008945805,0.000030119,0.00001410946,0.0002766586,0.004460019,0.002727909,0.00179736,0.00006124034,0.0001425922],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971305,0.0004120676,0.00001193145,0.000558614,0.0001678023,0.0001584608,0.0001684491,0.0001419415,0.001250195],"genre_scores_gemma":[0.9963675,0.002133083,0.001197861,0.0001479031,0.00005147263,0.00000120311,0.00007059035,0.000006694508,0.00002373424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006138009,"threshold_uncertainty_score":0.4653313,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386456795","doi":"10.1371/journal.pclm.0000271","title":"The enablers, opportunities and challenges of electric vehicle adoption in Qatar: A systematic review of the literature and assessment of progress toward transportation transformation targets","year":2023,"lang":"en","type":"review","venue":"PLOS Climate","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Scopus; Systematic review; Government (linguistics); Greenhouse gas; Business; Renewable energy; Engineering; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.05025448986077476,"gpt":0.2767569662012367,"spread":0.226502476340462,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004893615,0.0001997061,0.001061305,0.0001205347,0.0000311771,0.00001521197,0.000130925,0.0001306882,7.096432e-7],"category_scores_gemma":[0.00001558071,0.000110817,0.0001161224,0.0003964658,0.00003158825,0.0001209606,0.000007464057,0.0002466029,5.098437e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004244386,"about_ca_system_score_gemma":0.00003765039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001579786,"about_ca_topic_score_gemma":0.000005590806,"domain_scores_codex":[0.9984139,0.0001414176,0.0009520719,0.0001057122,0.0002274548,0.000159415],"domain_scores_gemma":[0.99919,0.000112369,0.0004344047,0.0001682212,0.00007487357,0.00002012827],"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":[0.00000127269,0.000008224535,0.000003145473,0.9446425,0.0001075283,6.442078e-7,0.0006657669,0.000005126064,0.000006769928,0.001440644,0.000001679852,0.05311672],"study_design_scores_gemma":[0.0001431176,0.00008216279,0.0004035479,0.9941045,0.001237225,0.000007584633,0.0002756405,0.002376742,0.00004068683,0.0001017147,0.001051325,0.0001757236],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006000696,0.9974815,0.000002041785,0.00006724524,0.00002577461,0.001654047,0.0001130812,0.00002176366,0.00003453521],"genre_scores_gemma":[0.00750168,0.9921789,0.00003037333,0.000002654382,0.000007101494,0.0001885853,0.00006438408,0.00002541013,8.867411e-7],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.052941,"threshold_uncertainty_score":0.4518987,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4406858033","doi":"10.1371/journal.pclm.0000570","title":"Browning events in Arctic ecosystems: Diverse causes with common consequences","year":2025,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":12,"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":"Horizon 2020; Natural Environment Research Council; Framsenteret; National Science Foundation; Vetenskapsrådet; Nuclear Safety and Security Commission; Sight Research UK; Norges Forskningsråd; National Aeronautics and Space Administration","keywords":"Browning; Ecosystem; Arctic; Environmental science; Geography; Ecology; Biology; Food science","retraction":null,"screen_n_in":null,"score":{"opus":0.04667748798414743,"gpt":0.2562972077016783,"spread":0.2096197197175309,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000177656,0.000142713,0.0002401971,0.0001514827,0.0001606887,0.00004147456,0.0001697196,0.00005032609,0.001807797],"category_scores_gemma":[0.00002088096,0.0001083247,0.00002803413,0.0003019989,0.00007967743,0.0002054615,0.00002268056,0.0001248266,0.0002582673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001364744,"about_ca_system_score_gemma":0.00003073613,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01412052,"about_ca_topic_score_gemma":0.335216,"domain_scores_codex":[0.9989046,0.00008911898,0.0002217891,0.0002359316,0.0001678264,0.0003807449],"domain_scores_gemma":[0.9994632,0.0002160127,0.00007221545,0.0001598009,0.00002628361,0.00006250967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007142685,0.00002411956,0.9986411,0.0002356797,0.00002018013,0.00006495651,0.0003524228,0.000132222,0.0001369996,0.0000359549,0.00004603785,0.0002388967],"study_design_scores_gemma":[0.0006419557,0.0001087595,0.9922398,0.001200802,0.00004607308,0.00001961314,0.001992238,0.002418032,0.0003481359,0.0003185181,0.0004314989,0.0002345148],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922311,0.0003979718,5.476136e-7,0.0002765335,0.0001862503,0.0002123935,0.00067144,0.00004165099,0.005982165],"genre_scores_gemma":[0.9986351,0.0004221489,0.00002086519,0.0003444654,0.00002863454,0.00000489973,0.0004662268,0.000003277089,0.00007438564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3210955,"threshold_uncertainty_score":0.9991047,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4324325707","doi":"10.1371/journal.pclm.0000179","title":"Long-term effect of forest harvesting on boreal species assemblages under climate change","year":2023,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Centre Intégré de Santé et de Services Sociaux des Laurentides; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Environment and Climate Change Canada; Compute Canada; Université Laval","keywords":"Occupancy; Biological dispersal; Ecology; Biodiversity; Disturbance (geology); Climate change; Habitat; Ecosystem; Taiga; Logging; Boreal; Geography; Environmental science; Abiotic component; Forest ecology; Species distribution; Biology; Population","retraction":null,"screen_n_in":null,"score":{"opus":0.06880838484288608,"gpt":0.2887088304823076,"spread":0.2199004456394215,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004435673,0.0002841685,0.0003651233,0.00009187232,0.0002374186,0.00007303446,0.0002983133,0.0001020364,0.00605468],"category_scores_gemma":[0.00009391919,0.0002365856,0.0001413686,0.0005356896,0.0001865651,0.0002631158,0.0004442587,0.0001461458,0.004386999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002663182,"about_ca_system_score_gemma":0.000001724369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001194266,"about_ca_topic_score_gemma":0.0006856913,"domain_scores_codex":[0.9978004,0.00009830202,0.0003249522,0.0004230237,0.0005436813,0.0008096478],"domain_scores_gemma":[0.9989809,0.0003000098,0.0001883732,0.0003754125,0.00001150118,0.0001438352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007783104,0.0001082396,0.9900649,0.0002564722,0.00001840192,0.00003664141,0.0001162702,0.00002675049,0.0062053,0.001265287,0.0006224211,0.001201491],"study_design_scores_gemma":[0.0004819777,0.0003284031,0.9888019,0.0001538332,0.00004221882,0.000003708,0.0001563947,0.0001397356,0.009530536,0.00002100721,0.0001046525,0.0002356588],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9509413,0.00001793055,0.000001161415,0.00026335,0.000179299,0.0004078875,0.0003034488,0.0003072057,0.04757838],"genre_scores_gemma":[0.9980782,0.0008095165,0.000004412207,0.0001597056,0.00009196482,0.0001105035,0.0004879626,0.00004216105,0.0002155892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04736279,"threshold_uncertainty_score":0.9963882,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4283264144","doi":"10.1371/journal.pclm.0000043","title":"Electoral appeal of climate policies: The Green New Deal and the 2020 U.S. House of Representatives elections","year":2022,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Electoral Systems and Political Participation","field":"Social 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":"","keywords":"Appeal; Champion; Legislature; Political science; Political economy; Climate change; Public administration; Economics; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.04685308456263786,"gpt":0.3527605777798814,"spread":0.3059074932172435,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007678567,0.00007466743,0.0002026536,0.00003052537,0.000920661,0.00002914024,0.0002009451,0.0000256702,0.0001207902],"category_scores_gemma":[0.0001334153,0.00004720665,0.00007232167,0.0004131787,0.0005185861,0.00008084704,0.0001230256,0.000148097,0.00000414255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003975182,"about_ca_system_score_gemma":0.00008811555,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07450819,"about_ca_topic_score_gemma":0.01061245,"domain_scores_codex":[0.9980311,0.000782492,0.0003161658,0.000127976,0.0003644393,0.0003778047],"domain_scores_gemma":[0.9990259,0.0004868881,0.0002037725,0.0001502475,0.00005561264,0.00007760267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0005582743,0.0002326062,0.3006105,0.0001422169,0.0001922673,0.000001572858,0.07904626,0.0001521612,0.004119968,0.6114327,0.002395588,0.00111592],"study_design_scores_gemma":[0.01060131,0.002935368,0.7049984,0.0002585083,0.001525142,0.0000328476,0.0738421,0.006813969,0.01171202,0.1334828,0.05210495,0.001692574],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984368,0.0002417888,0.000007072465,0.01048486,0.00007126865,0.0004586657,0.00005497647,0.0000476244,0.004265715],"genre_scores_gemma":[0.9992023,0.0001574425,0.00001598952,0.0001379008,0.0001894701,0.00005202967,0.000002552893,0.00001135473,0.0002309339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4779499,"threshold_uncertainty_score":0.9316548,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4413365632","doi":"10.1371/journal.pclm.0000689","title":"Extreme heat preparedness and coping among older adults: A rapid review","year":2025,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Preparedness; Coping (psychology); Psychology; Extreme heat; Gerontology; Medicine; Clinical psychology; Political science; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.05318327879559812,"gpt":0.2996306469512339,"spread":0.2464473681556358,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002492476,0.0001589919,0.0002788819,0.00003341496,0.0001945898,0.00003337417,0.0001282508,0.00005679662,0.002280652],"category_scores_gemma":[0.00007769127,0.0001386724,0.00003679147,0.0002274861,0.000105289,0.000226746,0.0002781005,0.0001005903,0.0001767863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000137298,"about_ca_system_score_gemma":0.000008108334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001176912,"about_ca_topic_score_gemma":0.0001480756,"domain_scores_codex":[0.9986359,0.00004981374,0.0002990619,0.0003628897,0.0001746655,0.0004776878],"domain_scores_gemma":[0.9994116,0.00006573156,0.00005930075,0.0002881008,0.000009880156,0.0001653692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001955365,0.000911443,0.643181,0.0497827,0.00007245145,0.00008992915,0.01459754,0.00001152105,0.002910513,0.0001298561,0.1395914,0.1485261],"study_design_scores_gemma":[0.003342165,0.0002577199,0.8531494,0.09690182,0.0004044576,0.00002381414,0.001672051,0.004521356,0.0008337562,0.0003128141,0.03728047,0.001300226],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9552864,0.02360032,0.000009184239,0.00265982,0.0001429566,0.001133176,0.00003381658,0.0001252212,0.01700914],"genre_scores_gemma":[0.6667171,0.3108241,0.0003142911,0.02116496,0.00009008221,0.0003647844,0.000066755,0.00004989695,0.0004079773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2885692,"threshold_uncertainty_score":0.9986314,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4382139180","doi":"10.1371/journal.pclm.0000196","title":"Effect of urban heat island mitigation strategies on precipitation and temperature in Montreal, Canada: Case studies","year":2023,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Urban Heat Island Mitigation","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":"Environment and Climate Change Canada; Université du Québec à Montréal","funders":"Agencia Estatal de Investigación; Environment and Climate Change Canada","keywords":"Environmental science; Precipitation; Urban heat island; Dew point; Squall line; Climatology; Meteorology; Weather Research and Forecasting Model; Daytime; Air temperature; Atmospheric sciences; Vegetation (pathology); Geography; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.00870677748071711,"gpt":0.240482120928745,"spread":0.2317753434480279,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002048639,0.0001089534,0.0001625017,0.00004780389,0.00007498542,0.00001728417,0.0000307699,0.0000418794,0.00001628321],"category_scores_gemma":[0.00007150509,0.00008658876,0.00001235147,0.000209389,0.0000593621,0.0001750613,0.000032107,0.00007115377,0.00001312097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000131777,"about_ca_system_score_gemma":0.00001089949,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05698291,"about_ca_topic_score_gemma":0.7168356,"domain_scores_codex":[0.999181,0.0001112418,0.0001662427,0.0001898964,0.0001804005,0.0001711683],"domain_scores_gemma":[0.9995441,0.0002854633,0.00003472032,0.00009480831,0.000007966652,0.00003292707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002739177,0.00008438144,0.8870873,0.0008995768,0.00007274282,0.000836985,0.01178337,0.009261727,0.07375558,0.000118833,0.01386563,0.001959962],"study_design_scores_gemma":[0.001688608,0.00107211,0.9319184,0.0003838469,0.00008180152,0.00006699994,0.00357838,0.006915464,0.05354096,0.0003889,0.00002460963,0.0003399538],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986019,0.00008801047,9.038396e-8,0.00009373436,0.00005058325,0.0003207985,0.00005807572,0.00002311276,0.0007636865],"genre_scores_gemma":[0.999649,0.0001561815,0.000006579365,0.00001914048,0.00001519261,0.00004634216,0.00004120519,0.000008256683,0.00005808961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6598527,"threshold_uncertainty_score":0.9492967,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400350371","doi":"10.1371/journal.pclm.0000415","title":"Polar fieldwork in the 21st century: Early Career Researchers considerations regarding safety and sustainability","year":2024,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University; Canadian Museum of Nature","funders":"","keywords":"Sustainability; Political science; Public relations; Engineering ethics; Environmental planning; Geography; Engineering; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.09054022914259928,"gpt":0.3946717590896499,"spread":0.3041315299470506,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002105494,0.00009280051,0.0001815767,0.0000701223,0.003277641,0.00004631692,0.00008045042,0.0001392983,0.0002247726],"category_scores_gemma":[0.001063129,0.0000635749,0.00003424929,0.0001805226,0.00009175427,0.00008628644,0.000213838,0.0008636076,0.00005703827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003692562,"about_ca_system_score_gemma":0.0002573359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002567094,"about_ca_topic_score_gemma":0.01571636,"domain_scores_codex":[0.9976827,0.0007010961,0.0002986155,0.0002323447,0.0001385886,0.0009466543],"domain_scores_gemma":[0.9973094,0.002218358,0.00003006106,0.0002211194,0.0001698871,0.00005111925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001239722,0.00007680821,0.4049006,0.001741897,0.0001072739,0.0001593405,0.3958316,0.000008825259,0.00001287734,0.1927462,0.00373754,0.0005530933],"study_design_scores_gemma":[0.000617616,0.0001877499,0.1459796,0.0003152982,0.00006417829,0.000006474715,0.7473837,0.0002126903,0.000002443085,0.01069694,0.09428859,0.0002448103],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8756647,0.004261612,0.000005401173,0.04657254,0.0005138467,0.002263189,0.0001039636,0.0001154839,0.07049934],"genre_scores_gemma":[0.9964626,0.002142815,0.0000318785,0.0008926662,0.0001439679,0.0001353128,0.00000823847,0.0000134072,0.0001690887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3515521,"threshold_uncertainty_score":0.9980199,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387504280","doi":"10.1371/journal.pclm.0000294","title":"Sub-Arctic no more: Short- and long-term global-scale prospects for snow crab (Chionoecetes opilio) under global warming","year":2023,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Crustacean biology and ecology","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Snow; Arctic; Global warming; Term (time); Scale (ratio); Environmental science; Fishery; Oceanography; Ecology; Climate change; Biology; Geography; Meteorology; Geology; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.02049782656043131,"gpt":0.2730615938258795,"spread":0.2525637672654482,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001782118,0.0001883059,0.0002276368,0.00001751658,0.0003051018,0.00003555557,0.000177444,0.000147896,0.0004446629],"category_scores_gemma":[0.00007235477,0.0001717422,0.0000607092,0.0002338813,0.0003258763,0.0001470645,0.0003748006,0.00008242665,0.001068221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002468359,"about_ca_system_score_gemma":0.000007640098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001113505,"about_ca_topic_score_gemma":0.0005858207,"domain_scores_codex":[0.9984567,0.00002947703,0.0002093336,0.0005016814,0.0001181339,0.0006846365],"domain_scores_gemma":[0.9994977,0.00009723459,0.00005039652,0.0002123894,0.00001229465,0.0001299752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006892267,0.00008800179,0.9962505,0.00007821971,0.00002607344,0.00001439756,0.00004348749,0.00007369633,0.002010738,0.0002201694,0.000508345,0.0006174444],"study_design_scores_gemma":[0.0003819396,0.0001588861,0.9946996,0.00002753388,0.00004577532,0.0000239171,0.00004893509,0.00167133,0.0006154217,0.002042512,0.00006987987,0.0002142485],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974896,0.00006360625,0.00003636222,0.0006234507,0.0002502813,0.0005313639,0.0001083897,0.0001597145,0.0007371874],"genre_scores_gemma":[0.9987515,0.0002430557,0.0002369977,0.0004409341,0.00006475679,0.0000752535,0.00007159904,0.00001410689,0.0001017828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001822343,"threshold_uncertainty_score":0.9997095,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386485723","doi":"10.1371/journal.pclm.0000202","title":"Considerations for occupational heat exposure: A scoping review","year":2023,"lang":"en","type":"review","venue":"PLOS Climate","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University Health Centre; Université de Montréal; McGill University; University of Toronto; McMaster University","funders":"","keywords":"Heat illness; Medicine; Heat stress; Environmental health; Heat exhaustion; Clothing; Acute illness; Poison control; Political science; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.4795996524003842,"gpt":0.4738712558293738,"spread":0.00572839657101043,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005867691,0.0003510146,0.001372254,0.00006913463,0.0003945079,0.00006036145,0.0001607408,0.000167841,0.003712283],"category_scores_gemma":[0.0007876491,0.0002964195,0.000324851,0.0003013069,0.00006034013,0.0001423092,0.0002084154,0.0001790559,0.004592985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002493814,"about_ca_system_score_gemma":0.0001263835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000122532,"about_ca_topic_score_gemma":0.000175942,"domain_scores_codex":[0.9974856,0.00007533907,0.0009588539,0.0005057533,0.0003247806,0.0006496152],"domain_scores_gemma":[0.9978386,0.00124726,0.0002837635,0.0003917703,0.0000205148,0.0002181082],"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":[0.000003614011,0.0001002902,0.00003413866,0.8484628,0.00004613402,0.00001605163,0.00007368027,0.000002540001,0.000001382653,0.0001223553,0.05629311,0.09484388],"study_design_scores_gemma":[0.0001625646,0.00007548338,0.00001922117,0.7352797,0.0007392869,0.00002368318,0.000004018188,0.00002190244,4.590795e-7,0.0002523327,0.2629633,0.0004580353],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000003726858,0.9923613,0.000003275682,0.0003945183,0.0001957845,0.005230803,0.000958965,0.0001493017,0.0007023411],"genre_scores_gemma":[1.605038e-7,0.9942116,0.0005804691,0.001654974,0.0002009625,0.002495635,0.0006982717,0.00008266542,0.00007528251],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.2066702,"threshold_uncertainty_score":0.9999488,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4399367365","doi":"10.1371/journal.pclm.0000393","title":"Coming in from the cold: Addressing the challenges experienced by women conducting remote polar fieldwork","year":2024,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Outdoor and Experiential Education","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Rimouski","funders":"Fonds de recherche du Québec – Nature et technologies; Austrian Science Fund; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Australian Institute of Nuclear Science and Engineering; Australian Government","keywords":"Polar; Psychology; Physics; Astronomy","retraction":null,"screen_n_in":null,"score":{"opus":0.1647311467712108,"gpt":0.3897443035782517,"spread":0.2250131568070409,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003772609,0.0001207666,0.0001373424,0.00003030166,0.000250707,0.0001613854,0.0002474344,0.00008791078,0.001007279],"category_scores_gemma":[0.00008975599,0.00007715017,0.00003671234,0.0001575358,0.00007937878,0.0001185843,0.0000653948,0.0003199464,0.0001301806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005828964,"about_ca_system_score_gemma":0.00001643895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000588885,"about_ca_topic_score_gemma":0.00005407209,"domain_scores_codex":[0.9987385,0.0002092999,0.0002211135,0.0003055801,0.0001286508,0.0003968379],"domain_scores_gemma":[0.9989279,0.0006236767,0.00005260432,0.0003423697,0.00001360681,0.00003983824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005954596,0.00009087602,0.0006674891,0.00003930787,0.00008137745,0.00001618815,0.9341584,0.000001798739,0.03439629,0.002846943,0.004016886,0.02362487],"study_design_scores_gemma":[0.0005963718,0.00008030128,0.002085471,0.0008352303,0.00004543131,0.00001112734,0.9308977,0.001093978,0.0101131,0.001401848,0.05238111,0.0004584008],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972529,0.01332294,0.0000162318,0.005614536,0.001787173,0.0001922977,0.00002000589,0.00008698473,0.006430812],"genre_scores_gemma":[0.9984509,0.0002624701,0.00005893449,0.0005797737,0.0003779859,0.00007850364,0.00001060248,0.00002420335,0.0001566131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04836423,"threshold_uncertainty_score":0.9999059,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403051738","doi":"10.1371/journal.pclm.0000478","title":"The impact of environmental shocks due to climate change on intimate partner violence: A structural equation model of data from 156 countries","year":2024,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":9,"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; UK Research and Innovation; Government of the United Kingdom","keywords":"Structural equation modeling; Climate change; Domestic violence; Environmental science; Econometrics; Psychology; Economics; Environmental health; Poison control; Geology; Mathematics; Human factors and ergonomics; Statistics; Medicine; Oceanography","retraction":null,"screen_n_in":null,"score":{"opus":0.1508277040324351,"gpt":0.365865221300645,"spread":0.2150375172682099,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005029322,0.0002837546,0.0003589648,0.00006660119,0.0002428898,0.00008826932,0.0006152604,0.0000951808,0.00135899],"category_scores_gemma":[0.00004075223,0.000185367,0.00009195766,0.0001699868,0.0002184779,0.0006712007,0.0008945162,0.0001770008,0.0006436819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002931245,"about_ca_system_score_gemma":0.00001686879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005114516,"about_ca_topic_score_gemma":0.0001454492,"domain_scores_codex":[0.9975236,0.00006450043,0.0005560153,0.0005301278,0.0006071209,0.000718615],"domain_scores_gemma":[0.9984519,0.0002825878,0.0002005273,0.00085329,0.00000798126,0.0002036651],"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":[0.006335829,0.001500276,0.4797607,0.002516501,0.0007483127,0.0001446942,0.04933652,0.04654674,0.2349271,0.003049431,0.008183682,0.1669502],"study_design_scores_gemma":[0.0003363201,0.0004414062,0.113248,0.0008351189,0.00009405936,0.000003916074,0.0002918152,0.8784422,0.003402353,0.002535841,0.00004082223,0.0003281938],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862385,0.0003535593,0.00002579447,0.0004085099,0.0001216255,0.000679681,0.01171689,0.00005185946,0.000403558],"genre_scores_gemma":[0.9951825,0.003748697,0.0002195059,0.0002083833,0.0001013599,0.00005431626,0.0004373846,0.0000407297,0.000007187309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8318954,"threshold_uncertainty_score":0.9995539,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401873826","doi":"10.1371/journal.pclm.0000473","title":"Integration of urban climate research within the global climate change discourse","year":2024,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph","funders":"","keywords":"Climate change; Climatology; Urban climate; Geography; Environmental science; Urbanization; Geology; Oceanography; Economics; Economic growth","retraction":null,"screen_n_in":null,"score":{"opus":0.09135435420744069,"gpt":0.3615312081765267,"spread":0.270176853969086,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002471695,0.000257454,0.0002668544,0.00005087608,0.0005073806,0.0001873251,0.0006192122,0.0001233901,0.0007673571],"category_scores_gemma":[0.0002059064,0.0001724146,0.0001386036,0.001100133,0.001073852,0.0007080815,0.0008769996,0.0004432705,0.0009781356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006785677,"about_ca_system_score_gemma":0.00002108931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000334997,"about_ca_topic_score_gemma":0.001004791,"domain_scores_codex":[0.9965172,0.0003105125,0.0004942657,0.0006258418,0.001021333,0.001030806],"domain_scores_gemma":[0.9987569,0.0002406797,0.0001501713,0.0006753606,0.00005374053,0.0001231339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001104233,0.001912283,0.3556996,0.004512754,0.0001693373,0.0003320669,0.1268882,0.0002998117,0.0227055,0.457289,0.005626434,0.02346084],"study_design_scores_gemma":[0.002240788,0.002404664,0.5266495,0.006489822,0.0007580064,0.0001585034,0.2361673,0.1099502,0.02828766,0.07174786,0.01188546,0.003260247],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772916,0.0007436685,0.000006982633,0.002910039,0.0004050121,0.0008371779,0.0005526038,0.0001551592,0.01709771],"genre_scores_gemma":[0.997649,0.001473294,0.0001185628,0.0001626739,0.0002059668,0.0002720141,0.00002895508,0.00003477657,0.00005480651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3855411,"threshold_uncertainty_score":0.9997997,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4393164110","doi":"10.1371/journal.pclm.0000240","title":"Crowded and warmer: Unequal dengue risk at high spatial resolution across a megacity of India","year":2024,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Division of Mathematical Sciences; International Development Research Centre; National Institutes of Health; National Science Foundation","keywords":"Megacity; Dengue fever; Geography; Environmental science; Climatology; Geology; Medicine; Economics; Virology; Economy","retraction":null,"screen_n_in":null,"score":{"opus":0.01131220009958239,"gpt":0.2723542516434025,"spread":0.2610420515438202,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002180273,0.0001480917,0.0003237105,0.00005152261,0.0001212184,0.00003636226,0.00005370649,0.00009773184,0.0001721412],"category_scores_gemma":[0.0001307943,0.0001223146,0.0001108275,0.0001161579,0.00009466245,0.00007266052,0.0001201428,0.0001663421,0.00004823356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006313113,"about_ca_system_score_gemma":0.00003829797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005724116,"about_ca_topic_score_gemma":0.0001682518,"domain_scores_codex":[0.9987006,0.00006078637,0.0002959703,0.0003207583,0.0002738384,0.0003481033],"domain_scores_gemma":[0.9993532,0.0000991073,0.00008744351,0.0002398676,0.00006131561,0.0001590406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01003785,0.001804503,0.7029228,0.01069131,0.002308578,0.001145527,0.009463693,0.0000934202,0.1629089,0.004741005,0.002115895,0.09176659],"study_design_scores_gemma":[0.005558594,0.0007185464,0.9232416,0.0008483731,0.002201385,0.00003030358,0.0003799906,0.0448925,0.02000654,0.0004123566,0.001310123,0.000399709],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954972,0.002478721,0.00009120288,0.0002338963,0.0001710575,0.0003340315,0.0009232017,0.0001025928,0.0001680903],"genre_scores_gemma":[0.9986055,0.0007680311,0.00008414054,0.0000797282,0.0002337068,0.00003396275,0.00009757596,0.00002626404,0.00007105501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2203188,"threshold_uncertainty_score":0.4987846,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403707948","doi":"10.1371/journal.pclm.0000490","title":"Exploring novel North Water Polynya ecosystems under climate change","year":2024,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Ocean Frontier Institute; Leverhulme Trust","keywords":"Climate change; Ecosystem; Environmental science; Freshwater ecosystem; Climatology; Environmental resource management; Oceanography; Ecology; Geology; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.1124967219279876,"gpt":0.2495247581031693,"spread":0.1370280361751817,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003146821,0.0002385795,0.0002805162,0.0001121094,0.0002111032,0.0001179815,0.0003167418,0.00006649598,0.003401315],"category_scores_gemma":[0.000006068031,0.0001773475,0.0001259433,0.0002819098,0.00008138871,0.0008513684,0.0006332781,0.000194477,0.01965343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002549701,"about_ca_system_score_gemma":0.000002678622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001755702,"about_ca_topic_score_gemma":0.001743293,"domain_scores_codex":[0.9977326,0.00004802718,0.0003627745,0.0005777788,0.0003207786,0.0009580008],"domain_scores_gemma":[0.9993799,0.00005152839,0.0000364304,0.0004103172,0.000006928685,0.0001149425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001016029,0.001315641,0.7286689,0.001445931,0.0008485039,0.0005420394,0.01869315,0.007583901,0.219494,0.006447104,0.001050367,0.01380892],"study_design_scores_gemma":[0.002360643,0.000741756,0.4801398,0.00102329,0.001648847,0.0002423146,0.003220533,0.2665972,0.1505856,0.0005659626,0.08780819,0.005065852],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888232,0.00005720883,0.00007169033,0.0006016712,0.0007134796,0.0002861315,0.00004875616,0.0002850877,0.00911275],"genre_scores_gemma":[0.9980194,0.0005513133,0.0001856103,0.0004451228,0.0002697619,0.0002741759,0.00004298816,0.00006189273,0.0001497534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2590133,"threshold_uncertainty_score":0.9975097,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4394805709","doi":"10.1371/journal.pclm.0000293","title":"Are forest management practices to improve carbon balance compatible with maintaining bird diversity under climate change? A case study in Eastern North America","year":2024,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Ministère des Ressources naturelles et des Forêts; Environment and Climate Change Canada; University of Alberta; Natural Resources Canada; Université Laval; Natural Sciences and Engineering Research Council of Canada; Université du Québec à Montréal; Canadian Forest Service","funders":"Ministère des Forêts, de la Faune et des Parcs","keywords":"Climate change; Forest management; Biodiversity; Forest ecology; Deciduous; Taiga; Geography; Environmental science; Ecology; Sustainable forest management; Agroforestry; Vegetation (pathology); Forest restoration; Ecosystem; Forestry; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.07181816008998092,"gpt":0.2878088509450122,"spread":0.2159906908550313,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001875107,0.0002490122,0.000253548,0.00010483,0.0002629561,0.0001607559,0.0002321545,0.00003106518,0.0007933162],"category_scores_gemma":[0.00001008971,0.000215221,0.00003534577,0.0007278413,0.00007723975,0.0003386177,0.001333895,0.0001748903,0.0008126362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006360604,"about_ca_system_score_gemma":0.000002708428,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005447176,"about_ca_topic_score_gemma":0.1103346,"domain_scores_codex":[0.9979806,0.00006907294,0.0002242181,0.0006383372,0.0004363037,0.000651475],"domain_scores_gemma":[0.9992155,0.00004781906,0.0002397508,0.0003203814,0.00001239755,0.0001641108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001070765,0.0004456853,0.9895559,0.0001356246,0.00004413213,0.005402839,0.003352165,0.000343402,0.00001352498,0.00002937884,0.00002675397,0.0005434933],"study_design_scores_gemma":[0.0006513689,0.0003895899,0.8905748,0.0001550807,0.0001122134,0.00005136905,0.09649982,0.01097359,0.00000453301,0.000006032275,0.00022977,0.000351809],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942781,0.0000283616,0.00001138636,0.0004585093,0.0001092673,0.001155359,0.0001269288,0.0002192299,0.003612894],"genre_scores_gemma":[0.9990225,0.0001010506,0.00005391692,0.000469824,0.00002791415,0.0002440126,0.00001640057,0.00003471332,0.00002966761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1048874,"threshold_uncertainty_score":0.9999654,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392499041","doi":"10.1371/journal.pclm.0000243","title":"Impacts of climate change on human health in humanitarian settings: Evidence gaps and future research needs","year":2024,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Engineers Without Borders Canada","funders":"","keywords":"Climate change; Political science; Human health; Environmental planning; Environmental resource management; Geography; Environmental science; Environmental health; Medicine; Ecology; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.2491260171463082,"gpt":0.4388762764109208,"spread":0.1897502592646126,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002824493,0.0002324635,0.0003807433,0.0004901801,0.0004115097,0.0001162376,0.0002386912,0.0001260442,0.000687454],"category_scores_gemma":[0.00008617665,0.000203791,0.00004472536,0.0009886508,0.0001994019,0.0005588163,0.000401927,0.0006053654,0.0003522508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004827965,"about_ca_system_score_gemma":0.00002335619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001158185,"about_ca_topic_score_gemma":0.002963261,"domain_scores_codex":[0.9967896,0.0002551722,0.0005187745,0.000488545,0.0005902635,0.001357581],"domain_scores_gemma":[0.9988027,0.000304154,0.000119078,0.0003772845,0.0000176715,0.0003790975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00082548,0.002028201,0.4650546,0.03479651,0.00006343258,0.0004950215,0.2375623,0.0000103881,0.04150894,0.02293287,0.02383946,0.1708828],"study_design_scores_gemma":[0.001237659,0.005338983,0.9294891,0.02753566,0.00004436593,0.00004994702,0.01102063,0.0008482623,0.001550616,0.003743796,0.01812633,0.0010147],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9666793,0.005833312,4.862861e-8,0.02211796,0.0001540469,0.0008699015,0.0001300776,0.0000865379,0.004128862],"genre_scores_gemma":[0.9371605,0.06027402,0.00004859085,0.00189964,0.0004563384,0.00007151238,0.00002624599,0.00004947484,0.00001365531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4644345,"threshold_uncertainty_score":0.8310355,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400680225","doi":"10.1371/journal.pclm.0000309","title":"Climate-resilient aquatic food systems require transformative change to address gender and intersectional inequalities","year":2024,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":6,"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; Fisheries and Oceans Canada","funders":"","keywords":"Transformative learning; Inequality; Climate change; Food systems; Sociology; Environmental science; Food security; Political science; Ecology; Mathematics; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.0941438386352138,"gpt":0.3125725684985802,"spread":0.2184287298633664,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002288432,0.000229353,0.0002799578,0.0003110228,0.0002005054,0.0004171233,0.0001148882,0.00007955635,0.00006020155],"category_scores_gemma":[0.00001802276,0.0002000306,0.00007851265,0.0002209688,0.00005243084,0.0007875613,0.00007120775,0.0001787751,0.0001276947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001130021,"about_ca_system_score_gemma":0.000004674559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003924297,"about_ca_topic_score_gemma":0.00003513531,"domain_scores_codex":[0.9983221,0.0001224091,0.0004259344,0.0003555921,0.0003141926,0.0004597309],"domain_scores_gemma":[0.9994755,0.0001335288,0.00004400483,0.0001507071,0.00004478238,0.0001515205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006359684,0.002464403,0.0157169,0.1003584,0.001811967,0.0002288302,0.7038047,0.0001820575,0.01222353,0.1331229,0.01177578,0.01195089],"study_design_scores_gemma":[0.02568819,0.01744344,0.08002042,0.08275887,0.003597764,0.001942448,0.2112158,0.2675003,0.1855459,0.02430316,0.08657033,0.01341344],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879343,0.002228329,0.0001653969,0.00208302,0.002173345,0.001293098,0.001091959,0.0004797316,0.002550832],"genre_scores_gemma":[0.9981695,0.0001508826,0.00003542603,0.0007062586,0.0004450688,0.0003342884,0.00009474409,0.0000458022,0.00001803225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4925889,"threshold_uncertainty_score":0.8157012,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411087077","doi":"10.1371/journal.pclm.0000648","title":"Autumn as an overlooked opportunity for limnology","year":2025,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Marine and environmental studies","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Limnology; Environmental science; Oceanography; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.03090015647947992,"gpt":0.2477089446782111,"spread":0.2168087881987312,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001003629,0.00008522273,0.0001321453,0.0000328169,0.0001797141,0.00001919764,0.0001128923,0.00004235828,0.002919613],"category_scores_gemma":[0.00004278791,0.00007099767,0.00003486464,0.00004916686,0.00005770943,0.00009677796,0.00003141753,0.00005314819,0.0002291942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003513237,"about_ca_system_score_gemma":0.00001345451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007519226,"about_ca_topic_score_gemma":0.001745217,"domain_scores_codex":[0.9993662,0.00002446523,0.0001166094,0.0001763842,0.00006352988,0.0002528717],"domain_scores_gemma":[0.9996843,0.00007480689,0.00002898002,0.0001292949,0.000006483299,0.00007612335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001365403,0.00009567493,0.9331214,0.0000878836,0.00007154055,0.000009016035,0.0001450097,0.00004575458,0.00008376726,0.001498095,0.001353449,0.06335187],"study_design_scores_gemma":[0.0004283329,0.0003893906,0.9285253,0.00001297247,0.00004350691,0.000002210083,0.0003776028,0.005770371,0.0003212755,0.009029477,0.05492903,0.0001704995],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8796858,0.0001015099,0.00000665431,0.0005489139,0.0001490149,0.0001616338,0.00008547965,0.00004993353,0.1192111],"genre_scores_gemma":[0.995659,0.000480125,0.0002621463,0.001454083,0.00004069991,0.000006972989,0.0001984871,0.000002185403,0.00189628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1173148,"threshold_uncertainty_score":0.9979919,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4410089111","doi":"10.1371/journal.pclm.0000619","title":"Why aquatic deoxygenation belongs in the planetary boundary framework","year":2025,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","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":"Natural Sciences and Engineering Research Council of Canada; University of Technology Sydney; University of California, Santa Cruz","keywords":"Deoxygenation; Boundary (topology); Astrobiology; Biology; Chemistry; Mathematics; Mathematical analysis; Organic chemistry","retraction":null,"screen_n_in":null,"score":{"opus":0.01229039951967327,"gpt":0.2360411574453078,"spread":0.2237507579256346,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004606177,0.00009944165,0.0001135603,0.0001405163,0.0002270773,0.00014282,0.0002572946,0.00006957952,0.0004891389],"category_scores_gemma":[0.0001743749,0.00006183451,0.00003190381,0.0004029344,0.00007009172,0.0001524431,0.000007403274,0.0001916839,0.0002931607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004066132,"about_ca_system_score_gemma":0.00003332138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000330388,"about_ca_topic_score_gemma":0.0009556969,"domain_scores_codex":[0.9990046,0.0001785431,0.00019468,0.0001772738,0.0002085153,0.0002363665],"domain_scores_gemma":[0.9986812,0.001014794,0.00005046319,0.000214611,0.00001046924,0.00002850336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003260942,0.0001955525,0.9377207,0.0003049428,0.00006910133,0.00007396178,0.002097039,0.001247024,0.0001398394,0.003795307,0.007769235,0.04626127],"study_design_scores_gemma":[0.0001419421,0.00004732424,0.9694417,0.0001062328,0.00002044522,0.000004062984,0.0003164556,0.01569616,0.0000597597,0.00753691,0.006525718,0.0001032948],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841813,0.001271737,0.0001378598,0.006174671,0.000245363,0.0003179642,0.00003898627,0.00004990612,0.007582236],"genre_scores_gemma":[0.9929502,0.0002517191,0.0004439444,0.006102927,0.00004551376,0.00000300324,0.0001635689,0.00000214511,0.00003699669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04615798,"threshold_uncertainty_score":0.5355728,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403939661","doi":"10.1371/journal.pclm.0000399","title":"“When you have stress because you don’t have food”: Climate, food security, and mental health during pregnancy among Bakiga and Indigenous Batwa women in rural Uganda","year":2024,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland; McMaster University; University of Alberta; University of Guelph","funders":"Canadian Institutes of Health Research; International Development Research Centre; University of Guelph","keywords":"Food security; Indigenous; Mental health; Environmental health; Food insecurity; Pregnancy; Mental stress; Maternal health; Socioeconomics; Business; Psychology; Geography; Medicine; Agriculture; Psychiatry; Economics; Population; Health services","retraction":null,"screen_n_in":null,"score":{"opus":0.05511270012464797,"gpt":0.3571230931611014,"spread":0.3020103930364534,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0007450895,0.0004778648,0.0007870996,0.0004981234,0.002440755,0.0001230395,0.0002327035,0.0004075156,0.0002476431],"category_scores_gemma":[0.00006466926,0.0004832107,0.00007252281,0.0002313155,0.0001914622,0.0007379517,0.0008057359,0.001409207,0.00004135413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009016343,"about_ca_system_score_gemma":0.0002657506,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001448829,"about_ca_topic_score_gemma":0.02608028,"domain_scores_codex":[0.9945206,0.0005158284,0.001266479,0.0007746203,0.0004630115,0.002459464],"domain_scores_gemma":[0.9981753,0.0002366958,0.0003395327,0.0004165379,0.00007115774,0.0007607757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001326474,0.0002157715,0.6880703,0.01041106,0.00009870365,0.00003519276,0.3000652,0.00000221759,0.00001048151,0.0005692367,0.00008661185,0.0003025563],"study_design_scores_gemma":[0.007618018,0.003074674,0.6512336,0.02702365,0.0001261354,0.00004750684,0.2992141,0.00283639,0.00009156573,0.006244245,0.0008554302,0.001634689],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816291,0.008311395,3.89235e-7,0.001544332,0.0005694646,0.00293197,0.004037066,0.0003300639,0.0006461769],"genre_scores_gemma":[0.98562,0.01273976,0.00007685987,0.0002196059,0.0001886938,0.0005889278,0.0003554044,0.00009978629,0.0001110024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0368367,"threshold_uncertainty_score":0.9997619,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4410574660","doi":"10.1371/journal.pclm.0000539","title":"Uneven impacts of climate change around the world and across the annual cycle of winegrapes","year":2025,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Climate change; Climatology; Environmental science; Geography; Oceanography; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.03992120600937701,"gpt":0.3189298218810797,"spread":0.2790086158717027,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003682949,0.000131705,0.0002211492,0.000009345244,0.0003889653,0.00007101379,0.0003216662,0.00004480493,0.00003917959],"category_scores_gemma":[0.00009522164,0.00002925867,0.00008945608,0.0005950931,0.0003118069,0.000185466,0.0003174658,0.0001391095,0.000006077591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009471031,"about_ca_system_score_gemma":0.000003246621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003622682,"about_ca_topic_score_gemma":0.003255186,"domain_scores_codex":[0.9987419,0.0001009708,0.0002701454,0.0001798126,0.0002462953,0.0004608422],"domain_scores_gemma":[0.9991145,0.0004779381,0.0001137621,0.00008002295,0.0001562566,0.00005754473],"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":[0.0004544608,0.0005220689,0.2068001,0.0006118909,0.0002473752,0.000006623402,0.007106073,0.000004132274,0.5990952,0.008048678,0.0007332868,0.1763701],"study_design_scores_gemma":[0.0001560579,0.000178073,0.9710895,0.0002214025,0.00003414784,0.000002410755,0.008230868,0.00008548656,0.01711694,0.0004125842,0.002357013,0.0001154526],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880912,0.0005561163,1.40226e-8,0.009289281,0.00003472708,0.0003878803,0.0003674627,0.0000200089,0.001253339],"genre_scores_gemma":[0.9979393,0.001510174,0.000004491359,0.0002295785,0.00009992587,0.00003778683,0.00001584462,7.698807e-7,0.0001621653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7642894,"threshold_uncertainty_score":0.2991646,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4390619677","doi":"10.1371/journal.pclm.0000332","title":"Empowering Early Career Polar Researchers in a changing climate: Challenges and solutions","year":2024,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University; Canadian Museum of Nature","funders":"","keywords":"Polar; Climate change; Psychology; Political science; Geology; Physics; Oceanography","retraction":null,"screen_n_in":null,"score":{"opus":0.4108115120322265,"gpt":0.4640628760485702,"spread":0.05325136401634367,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002845539,0.0001259793,0.0002536592,0.000799252,0.0001346671,0.00005700324,0.00006740361,0.0001192835,0.00006910852],"category_scores_gemma":[0.004940014,0.000104417,0.00004163117,0.0004825057,0.0001073803,0.0001749038,0.0002108272,0.0007279429,0.0001275847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002209761,"about_ca_system_score_gemma":0.0005215434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007302257,"about_ca_topic_score_gemma":0.00005764692,"domain_scores_codex":[0.9963533,0.00009100163,0.0002310047,0.0003158169,0.0006054558,0.002403365],"domain_scores_gemma":[0.9971912,0.000292431,0.00001324114,0.0001928061,0.0000554478,0.002254884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001847323,0.001296518,0.03935703,0.06240068,0.0005336665,0.01238863,0.1074359,0.000002828919,0.0440739,0.03128536,0.002494914,0.6968833],"study_design_scores_gemma":[0.0147768,0.008604957,0.5871481,0.07188407,0.0005205668,0.00100172,0.05200195,0.05226504,0.004105481,0.002165537,0.2029479,0.002577814],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9100132,0.04776657,0.00000681172,0.03178776,0.00009718378,0.0005901193,0.00003931268,0.0001931988,0.009505843],"genre_scores_gemma":[0.9384311,0.06058621,0.0001100326,0.000496738,0.000162842,0.00006114125,0.00001117125,0.00003709433,0.0001036274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6943055,"threshold_uncertainty_score":0.5914015,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404399329","doi":"10.1371/journal.pclm.0000454","title":"Win, lose, or draw: Evaluating dynamic thermal niches of northeast Pacific groundfish","year":2024,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Fisheries and Oceans Canada","funders":"National Marine Fisheries Service","keywords":"Groundfish; Niche; Ecological niche; Fishery; Oceanography; Geography; Geology; Ecology; Biology; Habitat","retraction":null,"screen_n_in":null,"score":{"opus":0.03459075421026147,"gpt":0.3044360736540542,"spread":0.2698453194437928,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004016316,0.0001352672,0.0001693913,0.00004089262,0.0001137837,0.0001012067,0.000263867,0.00005218902,0.01665174],"category_scores_gemma":[0.0000653333,0.0001001451,0.00006827914,0.0003359019,0.0002268521,0.0002826922,0.0004176657,0.000191832,0.0006498611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009141621,"about_ca_system_score_gemma":0.00002211806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001310271,"about_ca_topic_score_gemma":0.0001591462,"domain_scores_codex":[0.9983736,0.00007322886,0.0002651612,0.0003259768,0.0005483069,0.0004137309],"domain_scores_gemma":[0.9994471,0.0001268603,0.00004321432,0.0002924159,0.00001245745,0.00007793776],"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":[0.0003073437,0.0003571621,0.7103142,0.0009075202,0.0001228758,0.0001397756,0.002138889,0.0000743573,0.04355817,0.0001571717,0.0005472843,0.2413753],"study_design_scores_gemma":[0.001271333,0.00189962,0.4082589,0.0004446293,0.0002415435,0.00007826944,0.003359973,0.5570799,0.002535867,0.001355619,0.02203158,0.001442851],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8150522,0.00002851683,0.000009504641,0.0002115808,0.00007063986,0.0001886094,0.00002617808,0.00006873878,0.184344],"genre_scores_gemma":[0.9957631,0.0001168957,0.0003055478,0.00002763739,0.00003507141,0.00003201169,0.00001856396,0.00003075626,0.003670469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5570055,"threshold_uncertainty_score":0.9842471,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404629308","doi":"10.1371/journal.pclm.0000520","title":"Climate models drive variation in projections of species distribution on the Grand Banks of Newfoundland","year":2024,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Marine and fisheries research","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":"Dalhousie University; Fisheries and Oceans Canada; Memorial University of Newfoundland","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Climate change; Environmental science; Biomass (ecology); Climate model; Climatology; Global warming; Greenhouse gas; Oceanography; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.0338010643868631,"gpt":0.2518037765489932,"spread":0.2180027121621301,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002749915,0.00006642934,0.0001009923,0.00003648629,0.00006640772,0.00003329167,0.0001017413,0.00003546525,0.001367555],"category_scores_gemma":[0.00003512463,0.00004466981,0.00003694575,0.0003395148,0.0001214762,0.0001821983,0.0001258032,0.0001215644,0.00003777617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009619755,"about_ca_system_score_gemma":0.000006855531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000446726,"about_ca_topic_score_gemma":0.0004301703,"domain_scores_codex":[0.9991626,0.00004842332,0.0001963533,0.0001517772,0.0002588202,0.0001820801],"domain_scores_gemma":[0.9996613,0.0001202449,0.00004035303,0.0001494281,0.00001049658,0.00001819879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000793463,0.001615281,0.6760033,0.001264952,0.0001514889,0.00002809448,0.0148591,0.009366556,0.0449844,0.2335483,0.001996187,0.01538891],"study_design_scores_gemma":[0.0006235003,0.0004964472,0.6285701,0.0002520906,0.0000621138,0.000003386069,0.000353709,0.3474562,0.003972411,0.01090883,0.006996408,0.0003047813],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7971296,0.000006731653,0.0003199075,0.0006049163,0.00005319879,0.0003698906,0.0001795326,0.00002126019,0.2013149],"genre_scores_gemma":[0.9992591,0.0003533903,0.00003160271,0.000010985,0.00001496734,0.00003391332,0.00003587754,0.000006206827,0.0002539213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3380897,"threshold_uncertainty_score":0.9995453,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4390398421","doi":"10.1371/journal.pclm.0000326","title":"Climate impacts to inland fishes: Shifting research topics over time","year":2023,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Fisheries and Oceans Canada","funders":"U.S. Geological Survey; U.S. Fish and Wildlife Service; University of Virginia; University at Buffalo; University of Missouri","keywords":"Phenology; Climate change; Ecology; Geography; Population; Pairwise comparison; Reproduction; Environmental resource management; Biology; Environmental science; Computer science; Demography","retraction":null,"screen_n_in":null,"score":{"opus":0.04960223678933448,"gpt":0.3208676909425952,"spread":0.2712654541532606,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001053597,0.000118476,0.0001603746,0.0001045619,0.0005570242,0.00005362494,0.0002561207,0.00006091398,0.00208927],"category_scores_gemma":[0.0003018885,0.0001070461,0.0000320978,0.0005092146,0.0001099636,0.000183275,0.001704152,0.0001681927,0.02338198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000973505,"about_ca_system_score_gemma":0.00000239095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003914024,"about_ca_topic_score_gemma":0.0003311315,"domain_scores_codex":[0.9981171,0.00008492789,0.0001811632,0.0003424513,0.0003446139,0.0009297392],"domain_scores_gemma":[0.999428,0.0001595311,0.00003436541,0.0002577256,0.000009520913,0.0001108092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000265172,0.00005641524,0.6185688,0.00006009974,0.00002496502,0.00004398945,0.001098978,0.00008851328,0.0007088475,0.00009331284,0.3787186,0.0005108886],"study_design_scores_gemma":[0.000182572,0.00009730324,0.9702024,0.00003856162,0.00001252777,4.853082e-7,0.0001565405,0.0008237648,0.0001805263,0.0003697504,0.02778258,0.0001529486],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8922098,0.000003405299,6.198063e-7,0.004764945,0.00007643646,0.0003107835,0.00002365507,0.000174356,0.102436],"genre_scores_gemma":[0.9820997,0.0008562876,0.000501463,0.00424714,0.0002539014,0.0002114955,0.00006086411,0.00006322905,0.01170598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3516336,"threshold_uncertainty_score":0.9988229,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4319462058","doi":"10.1371/journal.pclm.0000090","title":"Cloudiness delays projected impact of climate change on coral reefs","year":2023,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":5,"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":"National Oceanic and Atmospheric Administration; Natural Sciences and Engineering Research Council of Canada; Consejo Nacional de Ciencia y Tecnología","keywords":"Coral bleaching; Reef; Cloud cover; Environmental science; Coral; Coral reef; Climate change; Oceanography; Shortwave; Sea surface temperature; Climatology; Radiative transfer; Geology; Cloud computing; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.0576509972120255,"gpt":0.2896675334366555,"spread":0.23201653622463,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001920488,0.0001980292,0.0003133982,0.00007278887,0.0001527391,0.00001436735,0.0001823132,0.00004884048,0.0004457528],"category_scores_gemma":[0.00004455649,0.0001446828,0.0001267557,0.000640447,0.00006951414,0.0001394231,0.0006790677,0.00009187546,0.002273128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001182491,"about_ca_system_score_gemma":0.000003706382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006283046,"about_ca_topic_score_gemma":0.0002785198,"domain_scores_codex":[0.9985168,0.0000414521,0.0002787742,0.0003088493,0.0002787911,0.000575328],"domain_scores_gemma":[0.9994349,0.00005745654,0.0001471847,0.0002678265,0.00001741193,0.00007520455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002380936,0.0002514543,0.9819289,0.0002054159,0.0000636383,0.00003873686,0.0007333313,0.00005410345,0.006210407,0.0001661863,0.002956036,0.007153725],"study_design_scores_gemma":[0.0003995119,0.0005129023,0.993852,0.0001166528,0.00003157711,0.000004052406,0.00008605821,0.003911747,0.0004672055,0.0001122287,0.0002731021,0.0002330223],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834788,0.00001102631,2.76239e-7,0.000146573,0.0001680682,0.0004719478,0.0001772038,0.0002224206,0.01532367],"genre_scores_gemma":[0.9988866,0.0006194728,0.00002227764,0.00003635436,0.00008624487,0.0001359277,0.00004158767,0.00002521635,0.0001463542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01540775,"threshold_uncertainty_score":0.9985037,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4320484683","doi":"10.1371/journal.pclm.0000135","title":"The challenge of border carbon adjustments as a mechanism for climate clubs","year":2023,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Mechanism (biology); Climate change; Carbon fibers; Natural resource economics; Business; Environmental science; Computer science; Economics; Ecology; Biology; Epistemology","retraction":null,"screen_n_in":null,"score":{"opus":0.1078596348476068,"gpt":0.2964998740331418,"spread":0.1886402391855351,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007949261,0.0002274308,0.0005192247,0.0002112061,0.0003067733,0.00006255676,0.0003702804,0.000145217,0.0001341558],"category_scores_gemma":[0.0002175524,0.0002204226,0.0002104701,0.0002246485,0.00006356605,0.0001162322,0.000232152,0.0001189545,0.0009659099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008191005,"about_ca_system_score_gemma":0.0000105606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001219185,"about_ca_topic_score_gemma":0.0001159511,"domain_scores_codex":[0.9977337,0.00001276303,0.0008615891,0.0004483354,0.00004699823,0.0008966622],"domain_scores_gemma":[0.9985165,0.0002572295,0.0005385137,0.0005394603,0.00005462253,0.00009366932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001082544,0.0001230287,0.002013485,0.0004240392,0.0001559936,0.000002293369,0.001101118,0.00001369885,0.00009033261,0.9953645,0.0002028555,0.0004003538],"study_design_scores_gemma":[0.003106799,0.0006599749,0.002715094,0.0001472785,0.00009150574,0.000004113906,0.001554483,0.06379894,0.002953788,0.9011204,0.0228414,0.001006238],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9091775,0.001258199,0.00001331076,0.006036258,0.001192111,0.00121531,0.002982185,0.0002329939,0.07789212],"genre_scores_gemma":[0.9553974,0.04217808,0.0001401778,0.0005016158,0.000283727,0.0006703204,0.0001474577,0.0001217653,0.0005595093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09424417,"threshold_uncertainty_score":0.9998119,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387823225","doi":"10.1371/journal.pclm.0000300","title":"Mental health during wildfires in Southcentral Alaska: An assessment of community-derived mental health categories, interventions, and implementation considerations","year":2023,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; The Quebec Population Health Research Network; McGill University Health Centre","funders":"Faculty of Medicine and Health, University of Sydney; Johns Hopkins Bloomberg School of Public Health; Faculty of Medicine, McGill University; McGill University; University of Alaska Anchorage; Johns Hopkins University","keywords":"Mental health; Psychological intervention; Psychosocial; Psychology; Coping (psychology); Nursing; Suicide prevention; Poison control; Medicine; Environmental health; Psychiatry","retraction":null,"screen_n_in":null,"score":{"opus":0.03802362118088679,"gpt":0.3654096399617627,"spread":0.3273860187808759,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001117688,0.0001686834,0.000325648,0.0001278337,0.0007764806,0.00005782817,0.0001153516,0.00003176809,0.0002295585],"category_scores_gemma":[0.0000153788,0.0001822112,0.00005061878,0.0002467176,0.0001203481,0.0004404919,0.0002894797,0.000203685,0.00001991546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006583349,"about_ca_system_score_gemma":0.00004691635,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01038301,"about_ca_topic_score_gemma":0.03280882,"domain_scores_codex":[0.9973831,0.0008687056,0.000712222,0.0002319315,0.0003005086,0.0005035624],"domain_scores_gemma":[0.9991853,0.00007347507,0.0003269813,0.0002474877,0.000006063783,0.0001607498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000166293,0.0005598317,0.9567921,0.0007113623,0.00004204167,0.000002773172,0.02601577,0.00008026712,0.01392233,0.0001743161,0.0005848032,0.001097839],"study_design_scores_gemma":[0.001206624,0.0003850647,0.9808605,0.0001877465,0.000005858052,0.000009791079,0.01385013,0.002248615,0.001021808,0.00006923209,0.00001310791,0.0001415406],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956424,0.00005697611,0.000004716218,0.00245606,0.0001312405,0.001127312,0.00045038,0.00009548135,0.00003541987],"genre_scores_gemma":[0.9981705,0.0003223685,0.0004304057,0.0001440726,0.000009725142,0.00008177281,0.0008120136,0.00002359367,0.000005537957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02406845,"threshold_uncertainty_score":0.9962069,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4286587164","doi":"10.1371/journal.pclm.0000040","title":"Climate change disturbances contextualize the outcomes of coral-reef fisheries management across Micronesia","year":2022,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"National Oceanic and Atmospheric Administration; Nature Conservancy; Global Environment Facility; Cargill Foundation; Margaret A. Cargill Foundation; Waitt Foundation","keywords":"Fishery; Marine protected area; Parrotfish; Coral reef fish; Fisheries management; Fishing; Coral reef; Biomass (ecology); Population; Climate change; Ecology; Biology; Geography; Habitat","retraction":null,"screen_n_in":null,"score":{"opus":0.03159920199552486,"gpt":0.2465870428444294,"spread":0.2149878408489046,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002835959,0.0001880662,0.0003203325,0.00001237404,0.0008407532,0.00003307036,0.0004399377,0.0000152264,0.0009653541],"category_scores_gemma":[0.000007840824,0.0001239371,0.0001061026,0.0001805311,0.0002367067,0.0001488869,0.003042386,0.00009615321,0.0001223637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007802996,"about_ca_system_score_gemma":7.925844e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000357575,"about_ca_topic_score_gemma":0.000628772,"domain_scores_codex":[0.9984325,0.00007828639,0.000325295,0.0002945958,0.0003776859,0.0004916954],"domain_scores_gemma":[0.9993498,0.0000643911,0.0002091757,0.000333978,0.000007379206,0.00003524712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006775718,0.0001846302,0.9859787,0.000112995,0.0001019706,0.00001283796,0.00283844,0.000003178318,0.0001995225,0.0007017735,0.002660193,0.007137964],"study_design_scores_gemma":[0.0003645843,0.0000983196,0.9659438,0.00001669528,0.0000665066,0.000003246022,0.00492801,0.00006798471,0.0001142957,0.0001418986,0.02805578,0.0001988571],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874827,0.0003232562,0.000001092493,0.002000195,0.0003340151,0.0006447693,0.0003597801,0.0000632231,0.008790967],"genre_scores_gemma":[0.9970999,0.0006459201,0.00004136451,0.0004635553,0.00002405289,0.0006598814,0.00001596833,0.00001689637,0.001032403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02539558,"threshold_uncertainty_score":0.9999479,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4413346265","doi":"10.1371/journal.pclm.0000693","title":"Dead-end pathways: Conceptualizing, assessing, avoiding","year":2025,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Aboriginal Affairs Northern Dev Canada; Carleton University","funders":"Bundesamt für Energie; Ivey Foundation","keywords":"Dead end; Computer science; Psychology; Social psychology; Compensation (psychology)","retraction":null,"screen_n_in":null,"score":{"opus":0.03384163894284083,"gpt":0.2717366927939808,"spread":0.2378950538511399,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003997693,0.0001882427,0.00021337,0.00003101808,0.0004681017,0.0001562566,0.0003236686,0.00009367328,0.003670059],"category_scores_gemma":[0.0003071267,0.000182631,0.0000773704,0.000332624,0.0002971077,0.0004619171,0.0004492257,0.0002263858,0.0005620851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000447793,"about_ca_system_score_gemma":0.00001985807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008043384,"about_ca_topic_score_gemma":0.00006142223,"domain_scores_codex":[0.9982656,0.0001159279,0.0002723971,0.0004515822,0.0003073855,0.0005870753],"domain_scores_gemma":[0.99922,0.000190682,0.0001202285,0.0003725339,0.00001581751,0.00008076363],"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":[0.0001173678,0.001433102,0.7926924,0.001132447,0.0001296055,0.0001807454,0.03129316,0.0008241904,0.09009831,0.03916856,0.02577592,0.0171542],"study_design_scores_gemma":[0.004335164,0.0003455277,0.282456,0.00177119,0.0004182286,0.00002694304,0.1587937,0.01399956,0.1270652,0.04020271,0.3672654,0.003320434],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8856223,0.0002415172,0.00008514671,0.00035138,0.0002642132,0.0001922197,0.00001652139,0.0001535962,0.1130731],"genre_scores_gemma":[0.9972254,0.0001611877,0.000320867,0.0009910348,0.00003996357,0.00005207829,0.00001013872,0.00001709763,0.001182251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5102364,"threshold_uncertainty_score":0.9972407,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4389076892","doi":"10.1371/journal.pclm.0000304","title":"Good practices: Co-producing integrated climate, environment and health services","year":2023,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Health Canada","funders":"","keywords":"Business; Environmental science; Environmental resource management","retraction":null,"screen_n_in":null,"score":{"opus":0.04421903174516774,"gpt":0.2781474307403276,"spread":0.2339283989951598,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004457143,0.0001797894,0.0002182573,0.00001361006,0.0005753028,0.0001190657,0.0002080672,0.00006869916,0.0001291111],"category_scores_gemma":[0.00001716658,0.0000573098,0.00004056323,0.0003397484,0.00005407129,0.0003161382,0.0001627324,0.0001473071,0.0005295603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000326315,"about_ca_system_score_gemma":0.000004122813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004277793,"about_ca_topic_score_gemma":0.0003194574,"domain_scores_codex":[0.9983343,0.00008524377,0.0002607029,0.0004861837,0.0002512979,0.0005822111],"domain_scores_gemma":[0.9992776,0.0001266878,0.0003364444,0.0000761944,0.00002098628,0.0001620752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005863625,0.0002723104,0.7158884,0.0004891342,0.00004418143,0.00002801358,0.001596691,0.00005176125,0.2313483,0.0002774434,0.0005211076,0.04942399],"study_design_scores_gemma":[0.00009901096,0.0002534479,0.9828544,0.0001515851,0.00001376255,0.000010979,0.004054389,0.0003714562,0.002117662,0.00002966781,0.00982932,0.0002142988],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958068,0.0003113659,6.374331e-8,0.002472214,0.00005117783,0.0002990365,0.0001121172,0.0002567204,0.0006905095],"genre_scores_gemma":[0.9796502,0.01932409,0.00007829199,0.0003308668,0.0001305604,0.00002678042,0.0003250354,0.000001701548,0.0001324665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.266966,"threshold_uncertainty_score":0.6806602,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405181004","doi":"10.1371/journal.pclm.0000533","title":"Implementing FAIR data principles in the IPCC seventh assessment cycle: Lessons learned and future prospects","year":2024,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Research Data Management Practices","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ouranos","funders":"HORIZON EUROPE Climate, Energy and Mobility; HORIZON EUROPE Framework Programme; Rural Development Administration; European Commission; Deutsches Klimarechenzentrum","keywords":"Environmental science","retraction":null,"screen_n_in":null,"score":{"opus":0.2380968551625304,"gpt":0.4508188405331295,"spread":0.2127219853705991,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.004309503,0.0001495965,0.0001350779,0.0001558624,0.0002907686,0.006079593,0.003327719,0.00002821137,0.00002224469],"category_scores_gemma":[0.000122541,0.000103084,0.00001976293,0.0005995988,0.00003774822,0.01412803,0.007076324,0.0004116976,0.00002907222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004619529,"about_ca_system_score_gemma":0.00007216599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002926261,"about_ca_topic_score_gemma":0.0002278882,"domain_scores_codex":[0.9972045,0.0003016467,0.0002688215,0.0008604473,0.0006921254,0.0006724027],"domain_scores_gemma":[0.9976884,0.0003570058,0.00008872735,0.001787978,0.00002150864,0.00005637416],"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":[0.000003831455,0.0001430462,0.003948366,0.0004901609,0.00007544066,0.0002496703,0.0007784319,0.000009037915,0.0002659755,0.94275,0.0004556951,0.05083029],"study_design_scores_gemma":[0.0004360075,0.0001002479,0.05938976,0.0002554648,0.00005767502,0.00002725316,0.00224389,0.3256976,0.0001103243,0.004032171,0.6072654,0.0003842283],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2521695,0.006148882,0.04409763,0.5951156,0.001365601,0.006587442,0.001162236,0.001898369,0.09145474],"genre_scores_gemma":[0.9576616,0.01367949,0.02694797,0.0004231498,0.0004191544,0.0001933901,0.0003177525,0.00003729262,0.0003201907],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9387179,"threshold_uncertainty_score":0.9996608,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4385237266","doi":"10.1371/journal.pclm.0000259","title":"Role of sea surface temperature variability on the risk of Canadian wheat, barley, and oat yields","year":2023,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Climate variability and models","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Toronto","funders":"National Oceanic and Atmospheric Administration","keywords":"Environmental science; Precipitation; Atlantic multidecadal oscillation; Crop; Yield (engineering); Sea surface temperature; Climatology; El Niño Southern Oscillation; Agronomy; North Atlantic oscillation; Crop yield; Air temperature; Geography; Geology; Biology; Meteorology","retraction":null,"screen_n_in":null,"score":{"opus":0.01628134835977027,"gpt":0.2052230720428834,"spread":0.1889417236831132,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001182404,0.0001230089,0.0001965093,0.00004711924,0.0001723219,0.00001659825,0.0001983421,0.0001150278,0.0007906571],"category_scores_gemma":[0.0002498033,0.00008575155,0.00005278273,0.0004885757,0.0002172944,0.00008044695,0.0001659864,0.0001993536,0.00008885653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006150716,"about_ca_system_score_gemma":0.00002063539,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06817104,"about_ca_topic_score_gemma":0.05977102,"domain_scores_codex":[0.998749,0.0001868848,0.0002241627,0.0002839878,0.0002310546,0.0003248693],"domain_scores_gemma":[0.9987811,0.0005304555,0.00007342811,0.0004704978,0.00001395633,0.0001305387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003961239,0.0001290992,0.8488646,0.00007900484,0.0000348566,0.000001749437,0.001577162,0.007035585,0.1385615,0.002787861,0.0007279135,0.0001610764],"study_design_scores_gemma":[0.000438454,0.0002393961,0.8554099,0.0001308274,0.0001459011,0.000002892674,0.001060138,0.05170192,0.07249694,0.01667192,0.001267567,0.0004341119],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833381,0.000009620779,2.231499e-7,0.0009853442,0.00003074497,0.0002830669,0.0006461598,0.00002821733,0.01467852],"genre_scores_gemma":[0.9993168,0.0004129659,0.00009583191,0.00008996215,0.000008082479,0.000008259004,0.00001358284,0.00001108197,0.00004349551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0660646,"threshold_uncertainty_score":0.9573857,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}