{"meta":{"query_hash":"5db6933864b8","filters":{"venue":"PLOS Climate"},"cohort_total":70,"direct_labels_cover":0,"predictions_cover":70,"exported":70,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/5db6933864b8","api":"https://metacan.xera.ac/api/v1/cohort?venue=PLOS+Climate"},"results":[{"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.09885423058429689,"score_gpt":0.29745664064287114,"score_spread":0.19860241005857426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220964246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99120796,0.00014297315,0.0062513794,0.00014281506,0.000015101743,0.000023437286,0.0010116979,0.00018469502,0.001019814],"genre_scores_gemma":[0.98811066,0.000103628656,0.01014281,0.000018984623,0.00001028054,0.000019995501,0.0013551502,0.000014233642,0.0002242336],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998123,0.00003088348,0.000013260658,0.00008030767,0.000041341882,0.000021942942],"domain_scores_gemma":[0.9990846,0.00024770154,0.00022739694,0.00006312953,0.0002638988,0.00011330938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010687303,0.0003888002,0.00024208322,0.0012022485,0.0003273717,0.0007130291,0.00043924584,0.00032423704,0.00040885282],"category_scores_gemma":[0.0031381203,0.00024302863,0.00036727343,0.00066400075,0.00015651245,0.0007763781,0.0004556691,0.00050896045,0.00010968855],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011139344,0.00011327621,0.8283343,0.00006232995,0.00015839102,0.000049189537,0.00034983028,0.12145884,0.0023510193,0.00049196265,0.0020132186,0.044506267],"study_design_scores_gemma":[0.000017568762,0.000044892164,0.31990504,0.000023519378,0.000053115888,0.000015182009,0.0002735266,0.6770279,0.0007102414,0.00078105653,0.0011183217,0.000029552903],"about_ca_topic_score_codex":0.13605532,"about_ca_topic_score_gemma":0.17761236,"teacher_disagreement_score":0.13605532,"about_ca_system_score_codex":0.0009921867,"about_ca_system_score_gemma":0.0008745731,"threshold_uncertainty_score":0.27052677},"labels":[],"label_agreement":null},{"id":"W4229049902","doi":"10.1371/journal.pclm.0000020","title":"Extreme freshwater events, scientific realities, curriculum inclusions, and perpetuation of cultural beliefs","year":2022,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Lethbridge; Athabasca University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Curriculum; Denial; Inclusion (mineral); Warrant; Perception; Data collection; Content analysis; Pedagogy; Psychology; Sociology; Public relations; Medical education; Political science; Social science; Medicine","score_opus":0.017587356481262667,"score_gpt":0.246605433150656,"score_spread":0.22901807666939333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229049902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930328,0.00023103149,0.0004901646,0.0011900004,0.00001934829,0.0000135932305,0.000010287055,0.0000032871878,0.0050093867],"genre_scores_gemma":[0.9993462,0.00012734573,0.00015310779,0.00012838196,0.000007074854,0.0000057311668,0.0000064814735,0.0000013459486,0.00022428595],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99198216,0.004323083,0.00043822508,0.0005377112,0.0019258959,0.0007929588],"domain_scores_gemma":[0.9737322,0.011010063,0.009015801,0.0019583816,0.002141614,0.0021420019],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0126026245,0.00020094094,0.00029297173,0.0014744393,0.0033226237,0.0049174777,0.0010284137,0.00070702017,0.0014076367],"category_scores_gemma":[0.023533173,0.00036684162,0.00031759567,0.0010791266,0.014229728,0.0029994852,0.0058725188,0.0026688296,0.000074716365],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011149622,0.00022358615,0.3379119,0.0002993884,0.0000766265,0.0009644658,0.62005657,0.0002053234,0.0018440362,0.012830506,0.0003750637,0.025100896],"study_design_scores_gemma":[0.000009328756,0.00017076351,0.3678352,0.00035503865,0.000034925655,0.00039434482,0.6142577,0.0002341085,0.00083717954,0.006473712,0.009327846,0.00006988959],"about_ca_topic_score_codex":0.009973442,"about_ca_topic_score_gemma":0.01997182,"teacher_disagreement_score":0.0126026245,"about_ca_system_score_codex":0.0034270089,"about_ca_system_score_gemma":0.0039008232,"threshold_uncertainty_score":0.066649854},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.017796112135028155,"score_gpt":0.23990936459766074,"score_spread":0.22211325246263258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280500806","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8686989,0.0032691667,0.06623531,0.0018568124,0.00016343837,0.00007421911,0.0208575,0.0006938831,0.038150933],"genre_scores_gemma":[0.99002504,0.0010584827,0.0048757116,0.0000759707,0.000043580974,0.000025696769,0.00271228,0.00004867116,0.0011346525],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99987507,0.000037967875,0.000009897515,0.00002571523,0.000033168606,0.00001821616],"domain_scores_gemma":[0.99972886,0.000065071945,0.00012939337,0.000018121964,0.00003861626,0.000019845294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047861968,0.00023066788,0.00013983766,0.0010804691,0.000077441524,0.00081199274,0.00014207348,0.00020253939,0.0022577506],"category_scores_gemma":[0.0012316856,0.00007787177,0.00020955197,0.0031004911,0.00030864187,0.0008390189,0.0004255559,0.00026037454,0.0002091003],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009780197,0.000052996616,0.75742704,0.00043402944,0.00030209625,0.00018041744,0.0004166377,0.075777665,0.0041395533,0.048699293,0.009114321,0.103358306],"study_design_scores_gemma":[0.000009434412,0.000033990375,0.89882654,0.000070746835,0.00006088727,0.00007799002,0.00033865173,0.060233843,0.000862508,0.018806435,0.020642033,0.00003691352],"about_ca_topic_score_codex":0.0060335626,"about_ca_topic_score_gemma":0.007535036,"teacher_disagreement_score":0.0060335626,"about_ca_system_score_codex":0.00038769192,"about_ca_system_score_gemma":0.00033759268,"threshold_uncertainty_score":0.011996925},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Appeal; Champion; Legislature; Political science; Political economy; Climate change; Public administration; Economics; Law","score_opus":0.046853084562637856,"score_gpt":0.3527605777798814,"score_spread":0.30590749321724353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283264144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9518086,0.00042053388,0.00023430353,0.009679491,0.0001188198,0.00002030262,0.00029078015,0.000008641006,0.037418507],"genre_scores_gemma":[0.99653435,0.00008317513,0.000056956414,0.00043352498,0.000055355034,0.000011149786,0.00017024505,0.0000029774144,0.0026523015],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973151,0.0014499055,0.00007010298,0.00017981327,0.00037566552,0.0006093247],"domain_scores_gemma":[0.9902238,0.0037055756,0.0028813249,0.0002718625,0.0010380775,0.0018793535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040593683,0.000107801956,0.00032260563,0.0010308787,0.0017360887,0.0023906901,0.00034096738,0.0009640785,0.008226619],"category_scores_gemma":[0.012170009,0.00010990675,0.000294603,0.0019367712,0.0009604023,0.0009174432,0.001416713,0.0014175193,0.0009573162],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049439876,0.00057821145,0.8701387,0.000072356735,0.00012928774,0.00030481548,0.006790587,0.0014289296,0.00020777609,0.04340493,0.028862141,0.047587786],"study_design_scores_gemma":[0.000046392088,0.00021004639,0.9480392,0.00007213504,0.000045142206,0.000068059344,0.015088933,0.002043754,0.0002077284,0.0049889893,0.02916344,0.000026117981],"about_ca_topic_score_codex":0.028561259,"about_ca_topic_score_gemma":0.07633271,"teacher_disagreement_score":0.028561259,"about_ca_system_score_codex":0.0020234818,"about_ca_system_score_gemma":0.0012226065,"threshold_uncertainty_score":0.056790054},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Climate change; Environmental sociology; Sociology; Environmental ethics; Regional science; Social science; Philosophy; Geology; Oceanography","score_opus":0.2466335735880635,"score_gpt":0.4023958826753738,"score_spread":0.15576230908731029,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285092437","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014148132,0.75093967,0.0008118806,0.2361539,0.0061579123,0.000009738879,0.00010545047,0.00002598719,0.0043805926],"genre_scores_gemma":[0.032836445,0.92276394,0.0023611702,0.027325053,0.013085078,0.000052302537,0.0001868088,0.00003296151,0.0013562422],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.995419,0.0025929972,0.00026324697,0.00056173466,0.000636451,0.00052657427],"domain_scores_gemma":[0.9534043,0.033748124,0.0013545714,0.0020566925,0.0056851557,0.0037511727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02196791,0.00088878087,0.0022156527,0.0036553596,0.0032435176,0.008811497,0.0020695461,0.007286156,0.01001794],"category_scores_gemma":[0.021265715,0.000527265,0.001095679,0.0054331417,0.011433324,0.018106425,0.007216289,0.008854282,0.0018807513],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037684786,0.00032701355,0.0047208345,0.014579885,0.00024308235,0.00027666654,0.004044598,0.0014076574,0.0005661961,0.2922143,0.18355237,0.49769056],"study_design_scores_gemma":[0.000035799796,0.00016219322,0.0051581366,0.022072157,0.00010417089,0.0003336391,0.014463564,0.00081821333,0.00017434647,0.33126783,0.62530893,0.000100963385],"about_ca_topic_score_codex":0.0042532943,"about_ca_topic_score_gemma":0.008121301,"teacher_disagreement_score":0.02196791,"about_ca_system_score_codex":0.0056538363,"about_ca_system_score_gemma":0.011026843,"threshold_uncertainty_score":0.11617875},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.031599201995524864,"score_gpt":0.24658704284442945,"score_spread":0.2149878408489046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286587164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971787,0.00027552232,0.00009608346,0.00032282187,0.000009700494,0.000007291726,0.0002683904,0.0000039071283,0.0018374989],"genre_scores_gemma":[0.9994667,0.00013050402,0.00006466958,0.000043920005,0.0000040071027,0.0000057670595,0.000107486856,0.0000020559044,0.00017481764],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999801,0.000045258104,0.000019606226,0.00005194997,0.000021662743,0.000060438506],"domain_scores_gemma":[0.99957806,0.000047889975,0.0001970296,0.000027330743,0.000077729164,0.0000718926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033193463,0.0001315274,0.00016814664,0.00037941223,0.0006030538,0.00047331557,0.00017294186,0.0001798595,0.0017752158],"category_scores_gemma":[0.0011101391,0.000078834266,0.0001540352,0.00044026537,0.00049138756,0.00047863953,0.00072131184,0.00035328735,0.00009558366],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038448718,0.000025222118,0.9880917,0.00006653551,0.000053686523,0.0002131058,0.0033186604,0.00016333841,0.0010209177,0.0002287897,0.00048186077,0.0062977863],"study_design_scores_gemma":[4.3142887e-7,0.000006277669,0.9981146,0.000012597311,0.000007760342,0.000017795152,0.0011820769,0.00005579315,0.000037458107,0.000034723827,0.0005284105,0.00000200518],"about_ca_topic_score_codex":0.10223114,"about_ca_topic_score_gemma":0.2752554,"teacher_disagreement_score":0.10223114,"about_ca_system_score_codex":0.000943097,"about_ca_system_score_gemma":0.0008449169,"threshold_uncertainty_score":0.20327216},"labels":[],"label_agreement":null},{"id":"W4286615919","doi":"10.1371/journal.pclm.0000048","title":"On the acceptance of intergenerational climate legacies: A comparison of Canada and Japan","year":2022,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Risk Perception and Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"University of British Columbia; Canada Research Chairs; Carnegie Mellon University; National Science Foundation","keywords":"Negotiation; Climate justice; Climate change; Compensation (psychology); Economic Justice; Inheritance (genetic algorithm); Intentionality; Willingness to accept; Political science; Settlement (finance); Social psychology; Environmental ethics; Sociology; Psychology; Willingness to pay; Economics; Law; Ecology","score_opus":0.04139720156646209,"score_gpt":0.3071070558232597,"score_spread":0.2657098542567976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286615919","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971777,0.00013530364,0.000032650834,0.00023432188,0.0000071740037,0.000011088999,0.000050811013,0.0000010676208,0.0023498875],"genre_scores_gemma":[0.99900526,0.00019036012,0.000053683096,0.00010918439,0.0000024539675,0.00000769455,0.000064177075,0.0000022885406,0.00056480913],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99840873,0.00018957001,0.000060775463,0.00013431211,0.00045567128,0.000750809],"domain_scores_gemma":[0.9948744,0.0006286039,0.0007261288,0.00013832893,0.0022274565,0.0014049102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018077339,0.00034877198,0.00047683693,0.0015346009,0.008734309,0.0025883056,0.00072872237,0.0006311559,0.0021107432],"category_scores_gemma":[0.0047063613,0.00023583857,0.00054526905,0.0030741873,0.0025299957,0.0007448487,0.0022339479,0.0011342657,0.00010168615],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005429055,0.00016634491,0.7547737,0.00013333431,0.00011275604,0.0008431047,0.21528172,0.00016327645,0.0015632439,0.0021814774,0.0014369931,0.022801183],"study_design_scores_gemma":[0.000018305664,0.00008159943,0.75025684,0.000098430515,0.00006374843,0.000109127664,0.24360605,0.00023707178,0.00022249244,0.00014625124,0.005081625,0.00007840436],"about_ca_topic_score_codex":0.98876536,"about_ca_topic_score_gemma":0.9952356,"teacher_disagreement_score":0.027782915,"about_ca_system_score_codex":0.027782915,"about_ca_system_score_gemma":0.040182255,"threshold_uncertainty_score":0.2015801},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.07223196207668256,"score_gpt":0.27905943103824227,"score_spread":0.2068274689615597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289261541","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926859,0.0006758968,0.00055510213,0.0018303317,0.000051019222,0.000007157166,0.00024124252,0.000066201326,0.0038871611],"genre_scores_gemma":[0.99906343,0.0003196868,0.00010955132,0.0001369196,0.00003875952,0.0000019959314,0.00006831347,0.000006379578,0.0002551161],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99983084,0.000023460689,0.000011480372,0.000029471372,0.00003725896,0.00006746463],"domain_scores_gemma":[0.9992543,0.000048922444,0.00026480365,0.00004256492,0.00010755997,0.00028187098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004628351,0.00020465926,0.00019242262,0.00027229477,0.0006866696,0.00093919947,0.00021895362,0.00044304293,0.0013454035],"category_scores_gemma":[0.00074387086,0.00011235199,0.00012991036,0.00023081661,0.0008330012,0.000811153,0.0011255704,0.00059968187,0.00015880617],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002702388,0.00008873993,0.89118874,0.00016628078,0.00012476608,0.0013052293,0.0041839657,0.0038446162,0.055648256,0.0046411403,0.006595403,0.03194269],"study_design_scores_gemma":[0.000007709859,0.000111615365,0.9625666,0.00007032514,0.000019958814,0.0004479068,0.005024596,0.005541132,0.0016279296,0.0044477475,0.02009929,0.000035217327],"about_ca_topic_score_codex":0.008253741,"about_ca_topic_score_gemma":0.013041525,"teacher_disagreement_score":0.008253741,"about_ca_system_score_codex":0.0008215933,"about_ca_system_score_gemma":0.00046582145,"threshold_uncertainty_score":0.016411424},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.5815427734497248,"score_gpt":0.4610438652788077,"score_spread":0.12049890817091713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319342859","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9807177,0.00033706942,0.0030212852,0.0026311888,0.000020092517,0.00008549109,0.00012863644,0.000015913416,0.013042694],"genre_scores_gemma":[0.99638414,0.00023105546,0.0028133437,0.00016844226,0.000004757695,0.000041721298,0.000055919638,0.0000029035207,0.00029780023],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99886286,0.00062725757,0.0000486046,0.00011527481,0.00013712479,0.00020891475],"domain_scores_gemma":[0.99675155,0.0011693978,0.00074756786,0.000175691,0.00054618536,0.00060970965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031579216,0.00037426953,0.0002841815,0.0013611978,0.0021877259,0.0030363596,0.0004887629,0.00076429854,0.003943198],"category_scores_gemma":[0.009377264,0.00020646676,0.00042958936,0.00084989815,0.0013652978,0.0031954069,0.003180279,0.0010203434,0.00020897812],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006434192,0.000464458,0.7602633,0.0004237206,0.00013526762,0.00043732772,0.14315212,0.0024524657,0.0030553055,0.005093786,0.002499041,0.08195881],"study_design_scores_gemma":[0.000012568225,0.00019153192,0.6372485,0.0006310835,0.000079374186,0.00010456251,0.33157974,0.00526077,0.0008817121,0.012208004,0.011721315,0.000080893704],"about_ca_topic_score_codex":0.033048052,"about_ca_topic_score_gemma":0.08196865,"teacher_disagreement_score":0.033048052,"about_ca_system_score_codex":0.0018718633,"about_ca_system_score_gemma":0.003868294,"threshold_uncertainty_score":0.06571138},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.0576509972120255,"score_gpt":0.28966753343665547,"score_spread":0.23201653622462998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319462058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99321496,0.00023717753,0.0020137646,0.0006632033,0.000047623074,0.000012889776,0.0016489932,0.00013878103,0.002022623],"genre_scores_gemma":[0.9986468,0.000114453476,0.00040693153,0.000045615627,0.0000069004,0.0000048620577,0.0005624445,0.000010393312,0.0002015785],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998154,0.000034667355,0.000013410526,0.00004742204,0.000031818225,0.00005718712],"domain_scores_gemma":[0.99961436,0.000098848475,0.000069678834,0.000031783715,0.000115188166,0.00007007014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059652235,0.00065340445,0.0003387037,0.0002806318,0.0004013976,0.0010957542,0.00057219685,0.00084866275,0.0015007864],"category_scores_gemma":[0.001616643,0.0002720921,0.0008874514,0.00034063714,0.00025456309,0.00091442367,0.0005132523,0.00065675547,0.00022634199],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016593783,0.00004640079,0.08727858,0.000056378896,0.00008391911,0.00013966931,0.000029606523,0.90359294,0.002745145,0.0008912801,0.0006712306,0.004298913],"study_design_scores_gemma":[0.00006177064,0.00008635983,0.06985676,0.000027475435,0.000080079066,0.000045926154,0.00009311757,0.92605275,0.0019522302,0.00084842637,0.00086281745,0.000032295462],"about_ca_topic_score_codex":0.0962981,"about_ca_topic_score_gemma":0.0406511,"teacher_disagreement_score":0.0962981,"about_ca_system_score_codex":0.0017130745,"about_ca_system_score_gemma":0.0011966291,"threshold_uncertainty_score":0.19147515},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.10785963484760676,"score_gpt":0.2964998740331418,"score_spread":0.18864023918553507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320484683","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33209267,0.0023950255,0.08297186,0.11965871,0.0018591252,0.00018217282,0.000602408,0.0006560696,0.4595819],"genre_scores_gemma":[0.9874742,0.00016378118,0.0016823318,0.0009210825,0.0002863068,0.000036259644,0.000017992208,0.000038498416,0.00937967],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973852,0.0012460614,0.00007581716,0.00046912182,0.0003441981,0.00047959705],"domain_scores_gemma":[0.9866741,0.005796815,0.0016249339,0.0023027677,0.0009388534,0.002662616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005388985,0.00027047427,0.0008454376,0.0008351822,0.0035746354,0.009591258,0.0023617225,0.00878365,0.034898173],"category_scores_gemma":[0.0269875,0.00041018543,0.0006334495,0.0006217572,0.0063146306,0.009401672,0.00525452,0.005712815,0.001670954],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010420206,0.000051933377,0.0010303409,0.000025967222,0.000017733675,0.000101453676,0.00032301462,0.004015118,0.00019330127,0.9808606,0.0063324547,0.006943916],"study_design_scores_gemma":[0.00008662521,0.000029035438,0.00088269066,0.000043471075,0.000010785367,0.00006117509,0.0007189164,0.016665598,0.00016176298,0.9651392,0.016175188,0.00002547112],"about_ca_topic_score_codex":0.0031190403,"about_ca_topic_score_gemma":0.0022805007,"teacher_disagreement_score":0.034898173,"about_ca_system_score_codex":0.0020847437,"about_ca_system_score_gemma":0.0028140242,"threshold_uncertainty_score":0.11674601},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.02962285718458971,"score_gpt":0.24882101528879805,"score_spread":0.21919815810420834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320908360","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991731,0.00011959093,0.00012297927,0.000012134701,8.81397e-7,0.0000013284705,0.0001573112,0.0000064175274,0.0004062568],"genre_scores_gemma":[0.9993148,0.00010955308,0.0002124694,0.0000054006723,0.0000021697324,0.0000033315282,0.00025501873,0.0000014188867,0.00009591984],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998908,0.00001952268,0.000008870946,0.000026158586,0.00003609475,0.000018588442],"domain_scores_gemma":[0.99950504,0.00009459386,0.00023837,0.00004765077,0.00007491987,0.000039331255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021928643,0.00008417934,0.00014105998,0.00065619365,0.00037897483,0.00046689922,0.00012905116,0.00012813862,0.00046586033],"category_scores_gemma":[0.00061522436,0.000103361905,0.00011163701,0.0009061581,0.00027374906,0.00029520525,0.0003219116,0.00013242883,0.00005199023],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017957145,0.000008273339,0.9900367,0.000020630758,0.000038845148,0.00004732671,0.0006784852,0.00023910755,0.0016967381,0.00005006478,0.00013073106,0.0070350044],"study_design_scores_gemma":[2.266029e-7,0.0000024817107,0.9996362,0.0000017335809,0.0000017972488,0.00001640665,0.00012313122,0.000042652922,0.000023312992,0.000009499371,0.00014197262,6.661577e-7],"about_ca_topic_score_codex":0.030949486,"about_ca_topic_score_gemma":0.1421479,"teacher_disagreement_score":0.9690505,"about_ca_system_score_codex":0.00023442398,"about_ca_system_score_gemma":0.00021021596,"threshold_uncertainty_score":0.061538637},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.031514064766041995,"score_gpt":0.24433171235056056,"score_spread":0.21281764758451857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322730966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99902916,0.000045037665,0.00014915259,0.000018314413,0.0000012888693,0.0000031552663,0.00008997046,0.0000051109146,0.00065888395],"genre_scores_gemma":[0.9996773,0.00004586332,0.000103248094,0.00001429426,0.0000014041472,0.0000032593148,0.00006633298,0.0000017584008,0.000086495784],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999136,0.000019715335,0.0000059704903,0.000023302922,0.000014371225,0.00002305787],"domain_scores_gemma":[0.99972874,0.00003627326,0.00012710129,0.000028763088,0.000023702873,0.00005550918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013673262,0.00020296915,0.00015388898,0.00023902504,0.0002443516,0.0003913907,0.00021085812,0.00019803818,0.0013210828],"category_scores_gemma":[0.00039160048,0.00009457095,0.00020190098,0.00019947429,0.0003323618,0.00024725337,0.00055531267,0.0002001913,0.00008095135],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028638745,0.00008133657,0.8955484,0.00008044441,0.00010621569,0.00014927078,0.0003305671,0.0028944418,0.094115585,0.00029474605,0.00015873101,0.005953855],"study_design_scores_gemma":[0.0000021030576,0.00007651345,0.9979095,0.0000027258734,0.000012795878,0.000039731964,0.00012846041,0.00080115587,0.0007916016,0.000048019498,0.00018431451,0.000002987694],"about_ca_topic_score_codex":0.009964491,"about_ca_topic_score_gemma":0.024582328,"teacher_disagreement_score":0.009964491,"about_ca_system_score_codex":0.0004204692,"about_ca_system_score_gemma":0.0003136416,"threshold_uncertainty_score":0.019813001},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.16016444375419633,"score_gpt":0.4208424632873831,"score_spread":0.2606780195331868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323309331","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015647525,0.02052317,0.0012328953,0.96386594,0.006584349,0.000012982983,0.00011820392,0.000040149258,0.0060576126],"genre_scores_gemma":[0.17583254,0.09242441,0.0067401775,0.69185126,0.024383174,0.00030231383,0.0004475854,0.00019038602,0.007828161],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98495907,0.008589663,0.000578959,0.0010054065,0.0020120926,0.0028548224],"domain_scores_gemma":[0.89735734,0.046962038,0.004187742,0.005641987,0.012277157,0.033573706],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.03501543,0.00098353,0.0032945245,0.0022123998,0.0098274285,0.014615258,0.0040012053,0.018362975,0.02448208],"category_scores_gemma":[0.06084054,0.00054878544,0.0020502312,0.0020308131,0.026336517,0.028270682,0.025836013,0.030463398,0.0039089336],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036227875,0.0005691352,0.0059868107,0.003639812,0.00034874014,0.0006819996,0.009260654,0.0009118846,0.0006187273,0.22914585,0.4914572,0.2570169],"study_design_scores_gemma":[0.000058691625,0.00013124873,0.0040522837,0.0052720886,0.000114809,0.00038846122,0.024899201,0.0003286464,0.00023285979,0.58864343,0.3757282,0.00015009401],"about_ca_topic_score_codex":0.013282272,"about_ca_topic_score_gemma":0.0312309,"teacher_disagreement_score":0.9959988,"about_ca_system_score_codex":0.0069490974,"about_ca_system_score_gemma":0.049864907,"threshold_uncertainty_score":0.1851815},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.06880838484288608,"score_gpt":0.28870883048230755,"score_spread":0.21990044563942146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4324325707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993481,0.000051887728,0.00013281497,0.000030034551,0.000004696438,0.0000036477002,0.00021024693,0.000007963846,0.00021060253],"genre_scores_gemma":[0.9995061,0.000027324057,0.00013547194,0.000012976619,0.0000025080412,0.0000040298796,0.00027115078,0.0000015928234,0.000038854174],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99962676,0.00007334644,0.000028759387,0.00012489982,0.000048626047,0.00009765074],"domain_scores_gemma":[0.99905294,0.0002007833,0.0002923063,0.000089488945,0.00014013043,0.00022434955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009123368,0.00032463233,0.00026177618,0.00030619782,0.000619464,0.00084426464,0.000468431,0.00043208888,0.00073144585],"category_scores_gemma":[0.0015967109,0.00017522452,0.0006624173,0.00036102397,0.0005371791,0.00046699052,0.00045500544,0.00041163337,0.000088161316],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002068438,0.00007557367,0.97893494,0.000026755135,0.00016174452,0.000100734585,0.00010196712,0.01466557,0.0025084855,0.00013022653,0.0002120262,0.0028750645],"study_design_scores_gemma":[0.00000646334,0.00008663694,0.9872469,0.000004136561,0.000028647204,0.00003594155,0.00015004953,0.012036565,0.00016600513,0.00006244153,0.00016584608,0.000010389043],"about_ca_topic_score_codex":0.07801907,"about_ca_topic_score_gemma":0.13056846,"teacher_disagreement_score":0.07801907,"about_ca_system_score_codex":0.0014103183,"about_ca_system_score_gemma":0.0007193294,"threshold_uncertainty_score":0.15512991},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.046723790930305986,"score_gpt":0.21096553360759787,"score_spread":0.16424174267729189,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362676224","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03734217,0.009831718,0.15033296,0.35152304,0.002481563,0.00046407347,0.000491397,0.00081762386,0.44671547],"genre_scores_gemma":[0.8344626,0.011010924,0.06652655,0.034522835,0.0018393118,0.0008046746,0.00028017082,0.00037874392,0.05017427],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9931971,0.0025787058,0.00025558408,0.0007371162,0.002049274,0.0011822878],"domain_scores_gemma":[0.9829391,0.0069033457,0.0028229663,0.0020077268,0.0031352118,0.0021915585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015136058,0.0008532485,0.000522539,0.002422582,0.0029807892,0.017694926,0.0025175489,0.008305965,0.02454264],"category_scores_gemma":[0.031319838,0.00041071756,0.0010625239,0.0018235033,0.009621313,0.027592627,0.009568112,0.007236723,0.0028655843],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000125635925,0.000047427526,0.0006251017,0.00012086167,0.000014108583,0.000059753427,0.00028988012,0.0012474677,0.0002720301,0.96576834,0.0104844095,0.021058062],"study_design_scores_gemma":[0.000048286238,0.000059704413,0.0011638887,0.000861799,0.000026717,0.00009855006,0.0007629712,0.003922932,0.0007710356,0.7256039,0.26663604,0.000044198525],"about_ca_topic_score_codex":0.0047149668,"about_ca_topic_score_gemma":0.0048500197,"teacher_disagreement_score":0.02454264,"about_ca_system_score_codex":0.007712583,"about_ca_system_score_gemma":0.020679412,"threshold_uncertainty_score":0.08210325},"labels":[],"label_agreement":null},{"id":"W4381684817","doi":"10.1371/journal.pclm.0000232","title":"Funding research using climate change mitigation: The case of the Carbone boréal research infrastructure","year":2023,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Climate change; Environmental science; Environmental resource management; Business; Environmental planning; Geology; Oceanography","score_opus":0.5676511629056116,"score_gpt":0.41503491196145714,"score_spread":0.15261625094415443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381684817","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035922498,0.029592795,0.008381835,0.33976275,0.0042898436,0.0005984248,0.0012532696,0.0002900474,0.57990855],"genre_scores_gemma":[0.81856954,0.024102842,0.030093506,0.044438794,0.0038521078,0.00096284645,0.0016351002,0.0002714906,0.07607386],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.98175365,0.0075824284,0.00063812156,0.0014143507,0.0049744635,0.0036370708],"domain_scores_gemma":[0.97853917,0.0068448936,0.0021500057,0.0018751718,0.003912329,0.006678465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.027848884,0.0007208768,0.0004551831,0.0019933225,0.006131943,0.0109081855,0.0028520257,0.0072012804,0.014458381],"category_scores_gemma":[0.028504789,0.00032625347,0.000621964,0.0031306632,0.0050810566,0.0083337445,0.008025584,0.0042399378,0.0015601142],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032814822,0.0001778528,0.010622304,0.0009960723,0.00009123534,0.0028845419,0.0022424657,0.0011220534,0.0012509259,0.7213396,0.13075449,0.12819044],"study_design_scores_gemma":[0.00012663948,0.00027594896,0.010662884,0.0015870575,0.000054970118,0.0011743527,0.0022969018,0.0015871228,0.00045082005,0.061650306,0.9200656,0.000067370645],"about_ca_topic_score_codex":0.048547976,"about_ca_topic_score_gemma":0.06641062,"teacher_disagreement_score":0.951452,"about_ca_system_score_codex":0.010574309,"about_ca_system_score_gemma":0.048885126,"threshold_uncertainty_score":0.14728075},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.00870677748071711,"score_gpt":0.240482120928745,"score_spread":0.2317753434480279,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382139180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99398863,0.00021350212,0.0007883365,0.00020518813,0.000011529494,0.000087226406,0.0016541199,0.00010543993,0.0029460539],"genre_scores_gemma":[0.99724317,0.00014418262,0.0009760561,0.00003192497,0.0000028103846,0.00003064981,0.0006755635,0.000009775177,0.00088594673],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99973077,0.00004338155,0.000006971125,0.000046513385,0.000042112853,0.00013035191],"domain_scores_gemma":[0.9995684,0.00013281358,0.00003970585,0.000024142351,0.00013716552,0.000097824384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040912125,0.0010442288,0.00041604112,0.00047914626,0.0011350104,0.0010389992,0.0015373966,0.0008189986,0.0013577763],"category_scores_gemma":[0.0008965839,0.00024231023,0.0005036591,0.0010706701,0.00081680383,0.0003231982,0.00052048627,0.00055336487,0.000089556364],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041090307,0.00049640157,0.07060548,0.00018384874,0.00020398894,0.0010079708,0.00020702924,0.9049047,0.006382109,0.0013499887,0.0034777278,0.010769923],"study_design_scores_gemma":[0.00032461647,0.000382344,0.17081806,0.00004003785,0.00020006137,0.00006877681,0.0013432357,0.81833005,0.0046402263,0.00039068251,0.0033167403,0.00014521832],"about_ca_topic_score_codex":0.9818677,"about_ca_topic_score_gemma":0.9811928,"teacher_disagreement_score":0.018132329,"about_ca_system_score_codex":0.017632367,"about_ca_system_score_gemma":0.007527982,"threshold_uncertainty_score":0.12793237},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.055549201577288015,"score_gpt":0.3048927859242785,"score_spread":0.24934358434699047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383989125","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09235087,0.3502,0.0048414473,0.4544341,0.002615863,0.00025912176,0.0028512245,0.0001283251,0.09231899],"genre_scores_gemma":[0.6515764,0.30357698,0.008098194,0.026059002,0.001726065,0.00033409655,0.0017474026,0.000094805684,0.0067871627],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975805,0.0011479818,0.0000950064,0.00039522158,0.00023688974,0.0005443232],"domain_scores_gemma":[0.9855157,0.0075662257,0.0012104575,0.0006677575,0.0028073238,0.0022325774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009349281,0.0006862201,0.0011490975,0.0028203751,0.0024581756,0.006513427,0.0017089824,0.0028848466,0.027147273],"category_scores_gemma":[0.010583623,0.00028013112,0.001473656,0.0054048463,0.0048072953,0.011352854,0.0063676783,0.004400393,0.0014814679],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004864272,0.0005976316,0.10745406,0.01417128,0.0004965114,0.0013472569,0.03696416,0.0027217441,0.0010161854,0.49783456,0.05405521,0.28285497],"study_design_scores_gemma":[0.00005762255,0.00039161814,0.13325566,0.026728742,0.00046229738,0.00076070504,0.17417592,0.0020847474,0.0008446038,0.2950054,0.36605757,0.00017509537],"about_ca_topic_score_codex":0.032141525,"about_ca_topic_score_gemma":0.05425829,"teacher_disagreement_score":0.032141525,"about_ca_system_score_codex":0.006739989,"about_ca_system_score_gemma":0.016012175,"threshold_uncertainty_score":0.09081662},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.01628134835977027,"score_gpt":0.20522307204288343,"score_spread":0.18894172368311316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385237266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974253,0.00028964164,0.00036169347,0.00026541902,0.000009097396,0.0000033359233,0.00082125294,0.000021617743,0.00080260745],"genre_scores_gemma":[0.99901307,0.00011596359,0.00007888452,0.000011733113,0.0000029790472,0.0000012037497,0.00039513008,0.0000043912905,0.00037667004],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997856,0.000039896502,0.0000097033235,0.00005981503,0.000032203505,0.00007283749],"domain_scores_gemma":[0.99934465,0.00016709174,0.00015667205,0.0000555302,0.00013452627,0.00014154571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004844162,0.00036668268,0.00020818498,0.00027691247,0.00046681825,0.0009753253,0.0004595264,0.00032074196,0.001330059],"category_scores_gemma":[0.0016027839,0.00014492884,0.0007000547,0.00042363247,0.00031608713,0.00020471546,0.0004888801,0.0005138179,0.00010959048],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023338768,0.000029595072,0.97796065,0.000014104465,0.00042658034,0.0001241563,0.000102216356,0.012470935,0.0013059645,0.0006737112,0.000576926,0.006081733],"study_design_scores_gemma":[0.000007775174,0.000038155144,0.9587705,0.0000124660655,0.00016770518,0.000051692386,0.00022504143,0.039174847,0.0003250864,0.00035048026,0.0008587132,0.000017487635],"about_ca_topic_score_codex":0.8445701,"about_ca_topic_score_gemma":0.83147657,"teacher_disagreement_score":0.1554299,"about_ca_system_score_codex":0.002742745,"about_ca_system_score_gemma":0.0046897572,"threshold_uncertainty_score":0.3126905},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Scopus; Systematic review; Government (linguistics); Greenhouse gas; Business; Renewable energy; Engineering; Political science","score_opus":0.05025448986077476,"score_gpt":0.27675696620123674,"score_spread":0.22650247634046197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386456795","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009129822,0.98678523,0.00041475805,0.0021360312,0.00015940786,0.0004745362,0.00031475586,0.000007267715,0.0005781412],"genre_scores_gemma":[0.10538427,0.88857657,0.0025252702,0.0018155919,0.000115697956,0.0010952262,0.00031363615,0.000005049721,0.00016870564],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9794024,0.010390356,0.0053425664,0.0011553795,0.0030453,0.0006639974],"domain_scores_gemma":[0.93156636,0.051210232,0.008856193,0.0006707302,0.007199719,0.00049674977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.034741707,0.0010863531,0.0033971902,0.012998945,0.0012541835,0.0036299764,0.0012322089,0.0017106241,0.0016327726],"category_scores_gemma":[0.065277345,0.00094385794,0.0046695974,0.010085515,0.0015320319,0.004275002,0.0021813845,0.0016372132,0.00013546058],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018857516,0.00006593332,0.008608554,0.82451177,0.005040074,0.00035595283,0.0066375327,0.00036838534,0.00036000926,0.0022373064,0.0025973201,0.14902854],"study_design_scores_gemma":[0.00009720137,0.00035350892,0.0182023,0.93056417,0.015288446,0.00062538835,0.009622643,0.00028212197,0.00037692694,0.0012587938,0.023262653,0.000065922206],"about_ca_topic_score_codex":0.012429357,"about_ca_topic_score_gemma":0.040963877,"teacher_disagreement_score":0.034741707,"about_ca_system_score_codex":0.007015528,"about_ca_system_score_gemma":0.039157916,"threshold_uncertainty_score":0.18373394},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.4795996524003842,"score_gpt":0.4738712558293738,"score_spread":0.00572839657101043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386485723","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00005652485,0.9986174,0.00007691823,0.0004437228,0.00028219173,0.000019921325,0.000035722504,0.000004683722,0.0004629089],"genre_scores_gemma":[0.00047757945,0.9988354,0.00012818229,0.00025850013,0.000084591564,0.00002428869,0.000040049712,0.0000015190801,0.00014985916],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9986382,0.0003645144,0.00039906587,0.00011563895,0.0004052105,0.00007730813],"domain_scores_gemma":[0.9945574,0.003927075,0.0006409936,0.00007740804,0.00069753535,0.00009970491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024548091,0.0013836912,0.0026011022,0.008101118,0.0007577084,0.0026706287,0.0013816218,0.002152278,0.0068603624],"category_scores_gemma":[0.0093908645,0.00066388363,0.0028600146,0.008454936,0.0007801466,0.0024623969,0.0016408939,0.001906964,0.0010274476],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068534006,0.00003904979,0.0002836627,0.4014585,0.00055527815,0.00027544843,0.00047415693,0.00044711097,0.00029692348,0.0032678396,0.03797831,0.55485505],"study_design_scores_gemma":[0.0000207743,0.00005413218,0.0010758813,0.5819112,0.0013875492,0.00076656614,0.0005169281,0.000095404335,0.00013133894,0.0023591674,0.41165027,0.000030784166],"about_ca_topic_score_codex":0.0062407325,"about_ca_topic_score_gemma":0.012093012,"teacher_disagreement_score":0.008101118,"about_ca_system_score_codex":0.002182324,"about_ca_system_score_gemma":0.00811472,"threshold_uncertainty_score":0.022950232},"labels":[],"label_agreement":null},{"id":"W4386827274","doi":"10.1371/journal.pclm.0000284","title":"The seasonality of nutrition status in Shawi Indigenous children in the Peruvian Amazon","year":2023,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Alberta Health; University of Alberta","funders":"Canadian Institutes of Health Research; National Institute for Health and Care Research; University of Alberta; Department of Health and Social Care; International Development Research Centre; Wellcome","keywords":"Amazon rainforest; Indigenous; Malnutrition; Seasonality; Wasting; Demography; Geography; Environmental health; Ecology; Medicine; Biology","score_opus":0.022313137006796494,"score_gpt":0.28296657033556616,"score_spread":0.26065343332876967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386827274","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994087,0.00015826315,0.000029939682,0.00004272516,8.8741933e-7,0.000004280581,0.00008158148,0.0000021712094,0.0002714734],"genre_scores_gemma":[0.99960595,0.00017374892,0.00006732446,0.0000106147345,0.0000020404577,0.0000092900345,0.00006099481,9.824269e-7,0.000069076836],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997025,0.000094523086,0.00001725104,0.000060139282,0.000036340138,0.00008920898],"domain_scores_gemma":[0.9993849,0.000122023426,0.00030849603,0.000028844985,0.00007319552,0.00008262418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004575562,0.00017988095,0.00022077742,0.0005387877,0.000497272,0.0004370273,0.00029981264,0.00020724762,0.0009612019],"category_scores_gemma":[0.0014381649,0.00017624296,0.00019838424,0.0009353439,0.0004954814,0.00033082382,0.00070996705,0.00028616135,0.00007781684],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045585457,0.000028253196,0.98573595,0.0000730887,0.00003467026,0.00031425394,0.008839964,0.000035868616,0.0007425104,0.00005985099,0.00009499638,0.0039949818],"study_design_scores_gemma":[6.6970017e-7,0.000028535344,0.9969632,0.000010114781,0.00000728209,0.00013415386,0.0026494006,0.000024277613,0.000024395818,0.000011377311,0.00014416098,0.0000025255863],"about_ca_topic_score_codex":0.044887334,"about_ca_topic_score_gemma":0.08942478,"teacher_disagreement_score":0.044887334,"about_ca_system_score_codex":0.0005654158,"about_ca_system_score_gemma":0.00042087398,"threshold_uncertainty_score":0.089252114},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.020497826560431313,"score_gpt":0.2730615938258795,"score_spread":0.2525637672654482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387504280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99519205,0.00027985874,0.00083378464,0.00071176863,0.00002242262,0.0000017313073,0.00046906873,0.00001611187,0.0024731494],"genre_scores_gemma":[0.99913764,0.0001850911,0.00013525758,0.000039026683,0.000006856818,0.0000013000188,0.00020856247,0.000004817266,0.00028138526],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999201,0.000022868986,0.000002970207,0.000015794347,0.000010705494,0.000027493814],"domain_scores_gemma":[0.9995714,0.00007242005,0.00010308191,0.000024607418,0.00008984656,0.00013870157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005483381,0.0002857889,0.00019046762,0.0002309912,0.00035718322,0.0010644225,0.00024821944,0.0005463158,0.0017576087],"category_scores_gemma":[0.0010391328,0.000095403455,0.0003574755,0.00031888727,0.000344509,0.0010689843,0.0005355012,0.00030969208,0.00022322728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054948655,0.00009896608,0.8461871,0.000083874555,0.00018043812,0.0008448633,0.00029001216,0.118841834,0.005862414,0.0041820877,0.0019279697,0.020950902],"study_design_scores_gemma":[0.0000126268915,0.00034431525,0.7836946,0.00008353594,0.00016504206,0.00029656987,0.0028970137,0.19730766,0.001815654,0.0073655033,0.0059475093,0.00006991307],"about_ca_topic_score_codex":0.015005859,"about_ca_topic_score_gemma":0.029379241,"teacher_disagreement_score":0.015005859,"about_ca_system_score_codex":0.00053876353,"about_ca_system_score_gemma":0.0004183841,"threshold_uncertainty_score":0.029837012},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.03802362118088679,"score_gpt":0.36540963996176273,"score_spread":0.3273860187808759,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387823225","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966665,0.00032498484,0.00016592731,0.00038557977,0.0000122524425,0.0004478506,0.00010671479,0.0000064295723,0.0018837034],"genre_scores_gemma":[0.9963158,0.00095222035,0.0013151027,0.000116136456,0.000009807255,0.000749976,0.00013074756,0.0000017535997,0.0004084964],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99829596,0.00074531155,0.00015549953,0.00011311245,0.00033728682,0.00035280033],"domain_scores_gemma":[0.9982639,0.00043255519,0.00029321972,0.00007112069,0.00032741358,0.0006118195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039231423,0.00037188552,0.00036787053,0.0011513272,0.002794596,0.0016970687,0.0008509495,0.000592265,0.0016620331],"category_scores_gemma":[0.004484219,0.00036135488,0.00060398044,0.0010007151,0.0009974483,0.0010456902,0.0029451349,0.0012613012,0.0001029901],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056739536,0.0057367645,0.5310607,0.0024456375,0.00028869946,0.0008919834,0.2000291,0.0011180021,0.0025476897,0.0010867744,0.0013362956,0.25289094],"study_design_scores_gemma":[0.00006935443,0.001816485,0.68170416,0.0010679964,0.00013711618,0.00015851574,0.30989194,0.0005676849,0.00067751104,0.00043915547,0.0034274296,0.000042727046],"about_ca_topic_score_codex":0.044540994,"about_ca_topic_score_gemma":0.14497098,"teacher_disagreement_score":0.044540994,"about_ca_system_score_codex":0.0053991103,"about_ca_system_score_gemma":0.012072157,"threshold_uncertainty_score":0.0885635},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.10130106765479481,"score_gpt":0.42203828727355264,"score_spread":0.32073721961875784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388126386","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32675025,0.027187452,0.11625887,0.12747,0.0013227039,0.0005635501,0.00010201464,0.00018387687,0.40016133],"genre_scores_gemma":[0.974392,0.004391813,0.014131686,0.002079098,0.000082875085,0.00019759579,0.000023154738,0.00008361961,0.0046181204],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.97755176,0.01681455,0.000719934,0.0014604805,0.0018514604,0.0016017677],"domain_scores_gemma":[0.9748891,0.01921081,0.0012606493,0.002276788,0.001467821,0.0008949305],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.027787583,0.0006053543,0.0008240399,0.0036617946,0.011856645,0.017706143,0.0019267694,0.0030129289,0.0053323396],"category_scores_gemma":[0.022283621,0.00044832972,0.0007037414,0.0036725665,0.064648755,0.021678751,0.015102693,0.0061141145,0.00029564239],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018759207,0.000027819073,0.0008376401,0.0005389857,0.000009978029,0.0002185171,0.43556568,0.00017379379,0.0003263501,0.5335126,0.000901666,0.027868193],"study_design_scores_gemma":[0.000011862962,0.00004293091,0.0012356521,0.00255802,0.00001635199,0.00019492659,0.5502764,0.00044780405,0.000496976,0.31902483,0.12566465,0.000029525207],"about_ca_topic_score_codex":0.009764644,"about_ca_topic_score_gemma":0.017368363,"teacher_disagreement_score":0.9881433,"about_ca_system_score_codex":0.012205401,"about_ca_system_score_gemma":0.025749253,"threshold_uncertainty_score":0.1469565},"labels":[],"label_agreement":null},{"id":"W4388409067","doi":"10.1371/journal.pclm.0000176","title":"Preventing Lyme disease through identification of key beliefs","year":2023,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Université de Montréal; Public Health Agency of Canada; Institut National de Santé Publique du Québec; Université Laval","funders":"","keywords":"Lyme disease; Theory of planned behavior; Normative; Psychology; Health belief model; Population; LYME; Disease; Social psychology; Control (management); Public health; Medicine; Clinical psychology; Environmental health; Health education; Political science; Immunology; Borrelia burgdorferi; Pathology","score_opus":0.123769519337526,"score_gpt":0.4273362549858585,"score_spread":0.3035667356483325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388409067","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920626,0.0003939791,0.0013904729,0.0010942388,0.00002202573,0.00012554653,0.00004871713,0.00003298177,0.004829452],"genre_scores_gemma":[0.99617517,0.00049112726,0.0022234197,0.00021287877,0.000009323771,0.00005249809,0.00004883919,0.0000020765415,0.00078455504],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996251,0.00013347915,0.000016982629,0.00003400666,0.00010046003,0.0000899553],"domain_scores_gemma":[0.9982529,0.00065291376,0.00045694536,0.00006003948,0.00020243642,0.00037476147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015383265,0.00030646301,0.0002169003,0.00045805826,0.00047940618,0.00068518665,0.00027558557,0.00033472409,0.0021458666],"category_scores_gemma":[0.0041800146,0.00015696544,0.0002573134,0.00023521026,0.00048795273,0.000390645,0.00047533476,0.0010301685,0.00021945755],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036471165,0.007356868,0.6576589,0.0007093498,0.0001324766,0.00022537242,0.017211488,0.00055708387,0.005733136,0.0014954973,0.0027742877,0.30578083],"study_design_scores_gemma":[0.00011166112,0.0018296196,0.9755972,0.00039419075,0.0001764088,0.00021308429,0.010855055,0.001859367,0.0016375683,0.0027995247,0.004486649,0.00003980743],"about_ca_topic_score_codex":0.011292397,"about_ca_topic_score_gemma":0.020716064,"teacher_disagreement_score":0.011292397,"about_ca_system_score_codex":0.0007342867,"about_ca_system_score_gemma":0.0018537518,"threshold_uncertainty_score":0.022453308},"labels":[],"label_agreement":null},{"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.20826822271348605,"score_gpt":0.4255605436331435,"score_spread":0.21729232091965744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388540663","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013377246,0.9972072,0.00014169156,0.00033490657,0.00008355554,0.00037198866,0.00020891764,0.000004525878,0.00030956307],"genre_scores_gemma":[0.014315715,0.98383546,0.0005463289,0.00036991836,0.000054742803,0.0006519548,0.00013970376,0.0000024700753,0.000083688654],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99309325,0.0029229952,0.0020412258,0.00041060685,0.0012795122,0.0002524394],"domain_scores_gemma":[0.958366,0.033202067,0.0047919042,0.0004099837,0.0027673007,0.00046280184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008571559,0.0010897778,0.004539283,0.010216453,0.0011590978,0.0031154258,0.0015887416,0.0020170799,0.0037851266],"category_scores_gemma":[0.047373034,0.0009887293,0.0056865215,0.011596001,0.00108366,0.00292257,0.0020270206,0.0014984102,0.00023444922],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010145317,0.000031051968,0.0013161561,0.93798625,0.0033395095,0.00015898855,0.00087058666,0.000113549366,0.0000688109,0.00045577995,0.001704743,0.053853136],"study_design_scores_gemma":[0.00007325015,0.00010627305,0.0037910556,0.9653894,0.013751797,0.00033668955,0.0010277353,0.0000686644,0.00006202554,0.0003244703,0.015033957,0.000034779307],"about_ca_topic_score_codex":0.016840074,"about_ca_topic_score_gemma":0.051962756,"teacher_disagreement_score":0.016840074,"about_ca_system_score_codex":0.005583363,"about_ca_system_score_gemma":0.024176653,"threshold_uncertainty_score":0.0453313},"labels":[],"label_agreement":null},{"id":"W4388758767","doi":"10.1371/journal.pclm.0000254","title":"Strategies for gender mainstreaming in climate finance mobilisation in southern Africa","year":2023,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Gender Politics and Representation","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Gender mainstreaming; Mainstreaming; Political science; Climate Finance; Context (archaeology); Public administration; Public relations; Sociology; Economic growth; Economics; Developing country; Gender equality; Geography; Gender studies","score_opus":0.1092120456243995,"score_gpt":0.3439629622185413,"score_spread":0.23475091659414177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388758767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47177243,0.011671672,0.029940292,0.21966475,0.001328307,0.00022308901,0.00007010662,0.00010685457,0.26522255],"genre_scores_gemma":[0.98775405,0.0013106663,0.0017895304,0.0032307473,0.00011237167,0.00006516779,0.000008863035,0.000024575886,0.0057039815],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.98851573,0.008104467,0.0001844699,0.00054513937,0.0009455083,0.0017047008],"domain_scores_gemma":[0.9904356,0.0059054834,0.0011980635,0.00044805396,0.0007081115,0.0013047447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.024270777,0.00058873306,0.0004228022,0.0024470133,0.013045662,0.009814381,0.0011021203,0.00285009,0.008216087],"category_scores_gemma":[0.018922985,0.00032170603,0.0004357998,0.0017729679,0.03584496,0.009557151,0.017201252,0.0035854604,0.0004283748],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004014971,0.00003399924,0.0041942163,0.0001706763,0.000009637943,0.0007662214,0.5027716,0.00021451226,0.0010965888,0.44287613,0.0038269476,0.043999236],"study_design_scores_gemma":[0.000023340159,0.00009705877,0.0042004753,0.0010649898,0.000013611546,0.00054676353,0.4535327,0.0003665488,0.0009406793,0.21211869,0.3270531,0.00004201345],"about_ca_topic_score_codex":0.0066379867,"about_ca_topic_score_gemma":0.007759321,"teacher_disagreement_score":0.024270777,"about_ca_system_score_codex":0.009158227,"about_ca_system_score_gemma":0.012407344,"threshold_uncertainty_score":0.12835765},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Canada","funders":"","keywords":"Business; Environmental science; Environmental resource management","score_opus":0.04421903174516774,"score_gpt":0.27814743074032755,"score_spread":0.23392839899515983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389076892","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3301329,0.0043545645,0.07570324,0.33358517,0.0022877783,0.0012588848,0.001033811,0.0014499952,0.25019366],"genre_scores_gemma":[0.9582334,0.0012750796,0.027470035,0.0054316116,0.0002500341,0.00025489653,0.00014405348,0.00006644517,0.006874469],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99398077,0.0034196675,0.00013888274,0.0003879888,0.0007637954,0.0013089055],"domain_scores_gemma":[0.9856712,0.00277167,0.0011783035,0.0012733951,0.0010472615,0.008058159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055985805,0.00041014314,0.00028285163,0.00080851995,0.0018770653,0.0045527173,0.0012088007,0.0023492107,0.011379543],"category_scores_gemma":[0.012382944,0.0003731076,0.000529942,0.0014678843,0.0022766567,0.002658445,0.00829576,0.0023732507,0.0008546762],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049366883,0.0025048393,0.0985088,0.0011095162,0.00063584594,0.0011948763,0.0073943483,0.010988109,0.004840613,0.13697599,0.08909193,0.64626145],"study_design_scores_gemma":[0.0006754369,0.0027916192,0.2850565,0.0023636005,0.0007497007,0.0014878019,0.0319643,0.012065881,0.0038671365,0.30379605,0.35496777,0.00021423938],"about_ca_topic_score_codex":0.020494126,"about_ca_topic_score_gemma":0.057118975,"teacher_disagreement_score":0.020494126,"about_ca_system_score_codex":0.0053440975,"about_ca_system_score_gemma":0.024666443,"threshold_uncertainty_score":0.04074967},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.04960223678933448,"score_gpt":0.32086769094259515,"score_spread":0.27126545415326064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390398421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7597602,0.17427891,0.008836111,0.025373282,0.00077006227,0.00014959456,0.004125852,0.00020403872,0.026502002],"genre_scores_gemma":[0.8398102,0.14320044,0.007862306,0.0024687557,0.0012597949,0.00020477147,0.001766645,0.00007531239,0.0033516542],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99878854,0.00040256814,0.0001224487,0.00028481663,0.00029517242,0.00010650191],"domain_scores_gemma":[0.9835397,0.0111778965,0.0023878324,0.00037350642,0.001966087,0.0005549394],"candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.004902225,0.000344018,0.0006781423,0.008678931,0.0010282374,0.004044482,0.0005175955,0.00085735443,0.0032699208],"category_scores_gemma":[0.01156959,0.00023158084,0.001057764,0.013044982,0.0012754101,0.004169801,0.001679311,0.0009027429,0.0003839149],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039581629,0.00013610469,0.44137245,0.011158882,0.0006906899,0.0008076747,0.055944875,0.0033353907,0.0042271125,0.015597568,0.0116741825,0.4546593],"study_design_scores_gemma":[0.000025531375,0.00023030868,0.7800846,0.006449872,0.0006748854,0.00076050486,0.068421654,0.004001585,0.0011272456,0.018346824,0.11974786,0.00012904961],"about_ca_topic_score_codex":0.00899058,"about_ca_topic_score_gemma":0.021098236,"teacher_disagreement_score":0.99509776,"about_ca_system_score_codex":0.0017574447,"about_ca_system_score_gemma":0.0032017194,"threshold_uncertainty_score":0.025925756},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Canadian Museum of Nature","funders":"","keywords":"Polar; Climate change; Psychology; Political science; Geology; Physics; Oceanography","score_opus":0.41081151203222654,"score_gpt":0.4640628760485702,"score_spread":0.05325136401634367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390619677","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0072576883,0.021065468,0.0033450236,0.9488769,0.009152556,0.000059683778,0.00013498327,0.00013053241,0.009977172],"genre_scores_gemma":[0.24881333,0.13798952,0.028976368,0.5367039,0.027636355,0.0008261155,0.0007392148,0.00038043212,0.017934721],"study_design_codex":"not_applicable","study_design_gemma":"qualitative","domain_scores_codex":[0.96986467,0.021798532,0.00065415585,0.0010066847,0.0020701287,0.004605773],"domain_scores_gemma":[0.8546579,0.0512993,0.008068135,0.0047693923,0.012500141,0.06870516],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05065993,0.0009270811,0.0013372316,0.0013592868,0.012632749,0.018335093,0.0030837054,0.0108001195,0.019002315],"category_scores_gemma":[0.060858972,0.0007053723,0.0010857783,0.0018575974,0.009017846,0.013765269,0.030562012,0.017733168,0.006436318],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066213845,0.0007842401,0.018397467,0.0062883804,0.00024938124,0.001976096,0.043497596,0.0008420005,0.0034041882,0.07636187,0.5212078,0.32632887],"study_design_scores_gemma":[0.00015135434,0.00043208967,0.0067286016,0.0055144783,0.000083500316,0.0009137189,0.09847008,0.00043508047,0.0007862726,0.1605968,0.72575206,0.00013585818],"about_ca_topic_score_codex":0.002805364,"about_ca_topic_score_gemma":0.010218869,"teacher_disagreement_score":0.94934005,"about_ca_system_score_codex":0.0032798015,"about_ca_system_score_gemma":0.036963932,"threshold_uncertainty_score":0.26791847},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.012297232931866757,"score_gpt":0.20879583655117975,"score_spread":0.19649860361931298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390972980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994862,0.0002026037,0.00027472814,0.00031233253,0.000016178066,0.000007953745,0.00045479272,0.00006605263,0.0038033838],"genre_scores_gemma":[0.9980281,0.000120481156,0.00019188056,0.00009684543,0.00000643482,0.0000057637694,0.00052234385,0.000012239544,0.0010159139],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99979776,0.000021470329,0.000012050059,0.00007144897,0.000026104046,0.00007120606],"domain_scores_gemma":[0.9988691,0.00013357983,0.00041571778,0.00011462206,0.00021243238,0.0002545525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074667943,0.00018277326,0.00016649856,0.000478917,0.00065576134,0.0010899564,0.00057105167,0.00027467744,0.0030831848],"category_scores_gemma":[0.0024992656,0.000115233954,0.00020250019,0.00029124398,0.00041037472,0.00084759406,0.0010519886,0.00045519852,0.00026106485],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004674261,0.00029519186,0.916998,0.00008499441,0.00014199191,0.00017707635,0.0010110249,0.006126705,0.0025129265,0.0011689359,0.007227554,0.06378806],"study_design_scores_gemma":[0.000010612651,0.00007359428,0.9908798,0.00003199149,0.000050221224,0.000037574984,0.0012232399,0.0028162973,0.00038700845,0.00036893826,0.0041081863,0.000012560073],"about_ca_topic_score_codex":0.12471854,"about_ca_topic_score_gemma":0.27991426,"teacher_disagreement_score":0.12471854,"about_ca_system_score_codex":0.0012961618,"about_ca_system_score_gemma":0.001458388,"threshold_uncertainty_score":0.24798518},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.24912601714630817,"score_gpt":0.43887627641092075,"score_spread":0.1897502592646126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392499041","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04198956,0.8828795,0.005555647,0.052457318,0.0025026188,0.0031023975,0.0018221991,0.000040224157,0.00965053],"genre_scores_gemma":[0.3904011,0.5540816,0.022225533,0.022397723,0.0021628602,0.0070107896,0.0010143993,0.000041419396,0.00066459196],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9239534,0.05770612,0.009514393,0.0024109716,0.004506599,0.0019083936],"domain_scores_gemma":[0.61019266,0.34341326,0.020514851,0.0053400956,0.018251907,0.002287212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.11397939,0.0011401713,0.0033085663,0.006975845,0.0020466528,0.009866035,0.002450482,0.0034157254,0.010781505],"category_scores_gemma":[0.1753828,0.0009989272,0.0030733778,0.008067165,0.002890841,0.008879912,0.0054810448,0.0027428989,0.000918006],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00095744187,0.0012085193,0.05204233,0.41254783,0.006983913,0.000486956,0.01629274,0.0011437036,0.00031310113,0.015858844,0.008179209,0.4839854],"study_design_scores_gemma":[0.0003116368,0.0024566592,0.055518754,0.7541354,0.0096559785,0.0008606973,0.08110979,0.0012883474,0.00046278114,0.026653055,0.06731217,0.00023471905],"about_ca_topic_score_codex":0.009138085,"about_ca_topic_score_gemma":0.027927496,"teacher_disagreement_score":0.11397939,"about_ca_system_score_codex":0.0052413647,"about_ca_system_score_gemma":0.022908345,"threshold_uncertainty_score":0.60278785},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.024950930252532085,"score_gpt":0.28952351337931514,"score_spread":0.26457258312678306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392545237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53942883,0.42244077,0.023418358,0.0024340302,0.001093646,0.00026170074,0.0076994933,0.0004665656,0.002756586],"genre_scores_gemma":[0.9823804,0.012892828,0.0025830795,0.00033286403,0.00012417538,0.00013430978,0.001088602,0.00007927097,0.00038451067],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99106675,0.00577917,0.000977203,0.0014093079,0.00035641718,0.00041121172],"domain_scores_gemma":[0.98324686,0.012163461,0.0012810674,0.0022979951,0.0006085345,0.00040215746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012398798,0.0017378333,0.0045296787,0.0020362253,0.00073364103,0.002518454,0.0019354204,0.0015121419,0.0052210074],"category_scores_gemma":[0.018231573,0.0010825946,0.027334621,0.0035708705,0.0005636563,0.0011317051,0.0015312254,0.0019398126,0.0004262855],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034290373,0.000058062764,0.2055167,0.0076111755,0.7711356,0.00034161576,0.00013122648,0.002120475,0.0008185043,0.00038414256,0.0011497465,0.007303621],"study_design_scores_gemma":[0.0005386098,0.0003978943,0.1353004,0.0012882443,0.85308367,0.00032453254,0.00018895698,0.0051732906,0.00041462408,0.0011194365,0.002118721,0.000051714258],"about_ca_topic_score_codex":0.008211192,"about_ca_topic_score_gemma":0.010405035,"teacher_disagreement_score":0.012398798,"about_ca_system_score_codex":0.0006628323,"about_ca_system_score_gemma":0.00093558064,"threshold_uncertainty_score":0.065571904},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.011312200099582389,"score_gpt":0.27235425164340255,"score_spread":0.26104205154382015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393164110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99725014,0.00007662774,0.0005461439,0.00011638059,0.000004567805,0.000010977404,0.0008804776,0.00006496083,0.0010498019],"genre_scores_gemma":[0.998555,0.000041628296,0.0005513728,0.000014760012,0.0000038690046,0.000010486548,0.0006492594,0.000007864847,0.00016567542],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994966,0.000118445605,0.000027931912,0.00012993715,0.00008512089,0.00014206221],"domain_scores_gemma":[0.9990897,0.0002664302,0.00020169176,0.00016672029,0.0001813154,0.00009423228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028100528,0.0002943374,0.00034894756,0.0016823426,0.00068606646,0.0019420923,0.0007840792,0.0003016312,0.0011093778],"category_scores_gemma":[0.0014388298,0.00034580412,0.0005664091,0.0027495814,0.0006447066,0.00047837183,0.0016671052,0.0003618275,0.00025275265],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015029579,0.0000628012,0.9629753,0.00008555049,0.0002353726,0.0008024529,0.0033106173,0.01401583,0.0022012347,0.0009786478,0.0019127768,0.013269175],"study_design_scores_gemma":[0.000006961316,0.000012815047,0.98685515,0.000019446434,0.00005952584,0.0002659596,0.003676822,0.007544216,0.00028774948,0.00029964215,0.00094158505,0.000030201745],"about_ca_topic_score_codex":0.10126387,"about_ca_topic_score_gemma":0.10905781,"teacher_disagreement_score":0.10126387,"about_ca_system_score_codex":0.0008154782,"about_ca_system_score_gemma":0.00072800845,"threshold_uncertainty_score":0.2013489},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.07181816008998092,"score_gpt":0.28780885094501224,"score_spread":0.2159906908550313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394805709","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979996,0.00018475126,0.00012999086,0.00019452641,0.0000018182573,0.000031219803,0.000081332466,0.000004299362,0.0013723983],"genre_scores_gemma":[0.9981894,0.00024100643,0.00074097456,0.00007339109,0.000002894839,0.000022326394,0.000078586585,0.000001954484,0.0006495957],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997155,0.00010390161,0.000007968218,0.00004088582,0.00003743459,0.00009422083],"domain_scores_gemma":[0.99945813,0.00014621906,0.00009957817,0.000030100373,0.00015924007,0.0001066689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044852163,0.00026528214,0.00017020803,0.00037557608,0.0017941156,0.0006770574,0.0006430862,0.00058843853,0.00068759033],"category_scores_gemma":[0.00072597887,0.000113785754,0.00020695734,0.0011764545,0.0006538642,0.0004336166,0.0003193975,0.000317985,0.000041997922],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026457405,0.0007588394,0.89891815,0.00027608965,0.000173618,0.013358414,0.01381745,0.015119234,0.006250656,0.0013962771,0.0033412108,0.04632543],"study_design_scores_gemma":[0.000024605648,0.00021021703,0.9567809,0.000058791942,0.000056452376,0.0007184778,0.027512433,0.0077918773,0.0004410464,0.0002800135,0.006093884,0.000031289088],"about_ca_topic_score_codex":0.78867173,"about_ca_topic_score_gemma":0.9458178,"teacher_disagreement_score":0.78867173,"about_ca_system_score_codex":0.0073116436,"about_ca_system_score_gemma":0.002742166,"threshold_uncertainty_score":0.42514563},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.16473114677121076,"score_gpt":0.3897443035782517,"score_spread":0.22501315680704093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399367365","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9162878,0.011061586,0.007899835,0.039031792,0.0016323621,0.00038885884,0.00025495674,0.00010053935,0.02334239],"genre_scores_gemma":[0.9685716,0.010716039,0.0050816447,0.009708672,0.00036714543,0.0004927944,0.00012418132,0.0001082569,0.004829549],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9896311,0.007723518,0.0003305654,0.00039065443,0.000624663,0.0012995575],"domain_scores_gemma":[0.98874295,0.006749408,0.0012518563,0.0003905667,0.0010988115,0.0017664486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014383986,0.000689088,0.0010258127,0.0013622753,0.013021606,0.0072867903,0.0020270448,0.0024899796,0.0046643545],"category_scores_gemma":[0.023618156,0.00085975835,0.00065053534,0.001470474,0.0074764257,0.0066988957,0.008992666,0.003673249,0.0011398108],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006455989,0.000033895278,0.016182313,0.00074715045,0.000015524889,0.0018361259,0.9494462,0.00003802497,0.00085684593,0.0017946588,0.0037377141,0.025246901],"study_design_scores_gemma":[0.0000038822586,0.000070202324,0.0027282496,0.00058609963,0.000011094493,0.00054575794,0.97208786,0.00003841817,0.00013911293,0.0007047329,0.023064146,0.000020383235],"about_ca_topic_score_codex":0.010954286,"about_ca_topic_score_gemma":0.017833866,"teacher_disagreement_score":0.014383986,"about_ca_system_score_codex":0.0025811105,"about_ca_system_score_gemma":0.0077052335,"threshold_uncertainty_score":0.076070726},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.09054022914259928,"score_gpt":0.3946717590896499,"score_spread":0.3041315299470506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400350371","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031855512,0.38214982,0.022750963,0.46411902,0.015501032,0.000327359,0.0002741836,0.00011204509,0.08291004],"genre_scores_gemma":[0.3345682,0.45505393,0.03805178,0.13995436,0.0072959242,0.0015187185,0.0004851524,0.00025332693,0.022818612],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.9439796,0.046510186,0.0019096398,0.0016996581,0.0035821937,0.0023187227],"domain_scores_gemma":[0.91162,0.06260347,0.0043870676,0.0033792625,0.012118466,0.005891718],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04879869,0.0005230191,0.0010602772,0.001505418,0.0075908536,0.012999086,0.0019385841,0.0053497194,0.008366544],"category_scores_gemma":[0.053839855,0.00047157903,0.0007780627,0.002294176,0.012331679,0.013783205,0.0069274306,0.0058811577,0.0019814605],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037060038,0.00014841335,0.01229904,0.01840857,0.00009359189,0.0028908846,0.1865831,0.0005009238,0.0013249762,0.21006948,0.12292375,0.44438666],"study_design_scores_gemma":[0.00002417706,0.00009501915,0.003982905,0.015736936,0.000027101487,0.0010486839,0.122494005,0.00010075504,0.00035457526,0.05895795,0.79713017,0.000047747384],"about_ca_topic_score_codex":0.005787362,"about_ca_topic_score_gemma":0.013257547,"teacher_disagreement_score":0.9512013,"about_ca_system_score_codex":0.0038650744,"about_ca_system_score_gemma":0.021611562,"threshold_uncertainty_score":0.25807524},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.008760620118497738,"score_gpt":0.2031065944039685,"score_spread":0.19434597428547076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400526147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996111,0.00005248224,0.000046284375,0.000004305351,3.4187698e-7,0.0000018184234,0.00004492003,0.000003166234,0.00023569251],"genre_scores_gemma":[0.99972624,0.00004638529,0.00006901942,0.0000055466417,9.260576e-7,0.000002854581,0.00006871003,0.000001163197,0.00007909185],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998828,0.000011118954,0.000009487318,0.000051010353,0.000015865497,0.00002969786],"domain_scores_gemma":[0.999723,0.000023558418,0.000143068,0.00004319985,0.000029042474,0.00003805798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015804436,0.00016390516,0.00023703108,0.00067342474,0.0004439318,0.0004160076,0.00019232926,0.00017443884,0.001151721],"category_scores_gemma":[0.00039048583,0.00015146147,0.00017104867,0.00042085757,0.0005332075,0.00022341529,0.0006093215,0.00020217145,0.00014790558],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000120731725,0.000015233296,0.94690084,0.0000611614,0.000078471334,0.0001432134,0.0012474362,0.0002890431,0.043770447,0.00008963083,0.00006200635,0.007221787],"study_design_scores_gemma":[7.834218e-7,0.000016199125,0.9994591,0.000002086397,0.0000072173884,0.000047687678,0.00014514677,0.000046965724,0.00017120174,0.000011298162,0.000091024325,0.0000013843293],"about_ca_topic_score_codex":0.008535303,"about_ca_topic_score_gemma":0.030021736,"teacher_disagreement_score":0.008535303,"about_ca_system_score_codex":0.00038735167,"about_ca_system_score_gemma":0.00014313546,"threshold_uncertainty_score":0.01697123},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.0941438386352138,"score_gpt":0.31257256849858017,"score_spread":0.21842872986336637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400680225","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11845872,0.23602006,0.02947798,0.396882,0.0055447165,0.00055532897,0.0005664779,0.00020584672,0.2122889],"genre_scores_gemma":[0.8031324,0.13436605,0.019663885,0.03161316,0.0011215026,0.0006929229,0.00024007393,0.000080578444,0.009089401],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99499005,0.0031830992,0.00020275079,0.00032955996,0.0005232082,0.0007714279],"domain_scores_gemma":[0.9915776,0.0057814433,0.0007405514,0.00046246295,0.000806934,0.0006309549],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0098569505,0.00042480847,0.0006371788,0.0010500256,0.0038416167,0.0071515962,0.0014900039,0.0021738508,0.008151444],"category_scores_gemma":[0.012793566,0.00023701029,0.0007616128,0.0014335738,0.009480083,0.010622511,0.008214241,0.0031472237,0.00058708765],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007067849,0.00016018965,0.012053202,0.009539741,0.00017257457,0.0012672826,0.13209347,0.0010776058,0.0012287246,0.31877923,0.03488568,0.48867166],"study_design_scores_gemma":[0.000018768033,0.00014100599,0.010158872,0.018157514,0.000087354776,0.000510379,0.17881362,0.00026990921,0.00063688617,0.18188807,0.6092616,0.000056048306],"about_ca_topic_score_codex":0.007683974,"about_ca_topic_score_gemma":0.016341591,"teacher_disagreement_score":0.0098569505,"about_ca_system_score_codex":0.0043388004,"about_ca_system_score_gemma":0.0141288545,"threshold_uncertainty_score":0.05212921},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Climate change; Climatology; Urban climate; Geography; Environmental science; Urbanization; Geology; Oceanography; Economics; Economic growth","score_opus":0.09135435420744069,"score_gpt":0.3615312081765267,"score_spread":0.270176853969086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401873826","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022104694,0.040896785,0.018019708,0.6614566,0.0027155858,0.000025484935,0.00013807238,0.00006356428,0.2545795],"genre_scores_gemma":[0.92583716,0.024328034,0.003210917,0.031207131,0.0046759467,0.000087179455,0.00008930806,0.00008759749,0.010476595],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.97586244,0.018340185,0.0005622084,0.0011120485,0.0026203042,0.0015029022],"domain_scores_gemma":[0.94365215,0.047169667,0.001804855,0.0027967312,0.0029262402,0.0016504216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.028544521,0.00052185537,0.0011706627,0.004292188,0.0070052585,0.02135552,0.00190259,0.006748712,0.00665275],"category_scores_gemma":[0.022119198,0.00039994367,0.00055291964,0.008262754,0.04788849,0.016132858,0.010620446,0.010243708,0.0004793708],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005684363,0.0000059692284,0.00016583555,0.000060717277,0.000004682438,0.000017965425,0.003111198,0.00031988116,0.000037875718,0.9902968,0.0028478887,0.0031253938],"study_design_scores_gemma":[0.000007981318,0.000014534152,0.00081389997,0.000524531,0.000014624193,0.0000410209,0.013711811,0.0010770182,0.00024789758,0.7204545,0.26307338,0.000018654659],"about_ca_topic_score_codex":0.007039789,"about_ca_topic_score_gemma":0.010575312,"teacher_disagreement_score":0.028544521,"about_ca_system_score_codex":0.013302047,"about_ca_system_score_gemma":0.014747217,"threshold_uncertainty_score":0.15095961},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.028475158836240185,"score_gpt":0.25419662518464636,"score_spread":0.22572146634840617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401990215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99802065,0.00019279239,0.00012711328,0.000038539103,0.000003786915,0.000005785573,0.0010028615,0.0000066601638,0.0006017844],"genre_scores_gemma":[0.9989435,0.00008606684,0.0001486808,0.000010181906,0.0000017732909,0.0000033179997,0.00067380175,0.0000021171115,0.00013057386],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977404,0.000025092362,0.000016028616,0.00007104477,0.00005048072,0.00006332178],"domain_scores_gemma":[0.99897695,0.0001122655,0.00028403997,0.000054076707,0.0004076929,0.00016513468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031719776,0.00019595868,0.00018285082,0.0005352897,0.00060605694,0.00062363996,0.00025339666,0.00015274227,0.00064616575],"category_scores_gemma":[0.0009172414,0.00012812311,0.0002623899,0.00083521276,0.00029706102,0.00016629323,0.0003382365,0.0003043561,0.00007360362],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023696357,0.000005251056,0.997618,0.000007954897,0.000032839544,0.000013325402,0.00008043031,0.00014172558,0.0008596883,0.000017037664,0.000119731376,0.001080254],"study_design_scores_gemma":[3.587128e-7,0.0000019813226,0.999701,0.0000014361916,0.0000037800414,0.0000063723237,0.000073261144,0.00008144658,0.00002775206,0.0000017706884,0.00009982165,8.690812e-7],"about_ca_topic_score_codex":0.82082474,"about_ca_topic_score_gemma":0.9348803,"teacher_disagreement_score":0.82082474,"about_ca_system_score_codex":0.0018577672,"about_ca_system_score_gemma":0.0023089577,"threshold_uncertainty_score":0.36046088},"labels":[],"label_agreement":null},{"id":"W4402673312","doi":"10.1371/journal.pclm.0000404","title":"An intercultural approach to climate justice: A systematic review of Peruvian climate and food policy","year":2024,"lang":"en","type":"review","venue":"PLOS Climate","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Newton Fund; Wellcome Trust","keywords":"Climate justice; Economic Justice; Climate change; Climate policy; Political science; Environmental planning; Environmental justice; Natural resource economics; Environmental resource management; Geography; Economics; Oceanography; Law; Geology","score_opus":0.035471144382594307,"score_gpt":0.34622802110745626,"score_spread":0.31075687672486196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402673312","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004670575,0.99836797,0.00013981365,0.00045905914,0.000064667765,0.000051181934,0.00008623771,0.0000032097378,0.0003608129],"genre_scores_gemma":[0.0075867474,0.9911055,0.0005000236,0.000418583,0.000039897135,0.00017244433,0.00009139498,0.0000039060415,0.00008137253],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9922174,0.0040752585,0.0018494811,0.00048789787,0.0011372957,0.00023269445],"domain_scores_gemma":[0.9681434,0.025388539,0.0034777042,0.0005199495,0.0022066191,0.00026376965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012729892,0.0011017659,0.0029233915,0.014543382,0.000911593,0.0030437736,0.0012679283,0.0014765736,0.0036417264],"category_scores_gemma":[0.041286726,0.0006572664,0.0030985156,0.018364651,0.0014391456,0.0035148137,0.00251044,0.0015220831,0.00027223505],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000077203586,0.000024897685,0.0009111613,0.80372036,0.002888714,0.00020048092,0.0025523305,0.0002012487,0.0003021962,0.0031334513,0.004431719,0.18155627],"study_design_scores_gemma":[0.00003358714,0.00008668695,0.004210506,0.87117267,0.008473783,0.00034530112,0.00245744,0.00007812,0.00018883465,0.0014097156,0.11151016,0.00003322358],"about_ca_topic_score_codex":0.008057044,"about_ca_topic_score_gemma":0.026330745,"teacher_disagreement_score":0.014543382,"about_ca_system_score_codex":0.003570029,"about_ca_system_score_gemma":0.018319884,"threshold_uncertainty_score":0.06732297},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.1508277040324351,"score_gpt":0.36586522130064497,"score_spread":0.21503751726820988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403051738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98391867,0.00038536405,0.0073784566,0.0017269483,0.000063710264,0.00018490851,0.004836732,0.00011286427,0.0013923851],"genre_scores_gemma":[0.98891604,0.00028302116,0.0037888868,0.00014005539,0.000028461389,0.00033433476,0.0051324004,0.00002701767,0.0013497684],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9941902,0.0037420657,0.00032812008,0.00087719475,0.00026954975,0.0005928125],"domain_scores_gemma":[0.9838494,0.009584814,0.003158934,0.0012413468,0.0011863124,0.0009792208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011546775,0.0014502385,0.0019817604,0.0021316996,0.001317565,0.002543168,0.0030919693,0.0027966816,0.0076655517],"category_scores_gemma":[0.01562875,0.0018407615,0.0054562856,0.003468343,0.0015716949,0.0018020364,0.0028754813,0.0034570193,0.0015526157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00078217324,0.00068264565,0.8390467,0.00015287819,0.002679443,0.00082804204,0.0021721504,0.13733202,0.0003633647,0.005112054,0.0027622087,0.008086307],"study_design_scores_gemma":[0.0006868237,0.001061971,0.3642928,0.00039314275,0.0017123799,0.00051159697,0.0029404792,0.61408305,0.0002490873,0.009238724,0.0045903362,0.00023963138],"about_ca_topic_score_codex":0.07997328,"about_ca_topic_score_gemma":0.031841353,"teacher_disagreement_score":0.07997328,"about_ca_system_score_codex":0.0023438905,"about_ca_system_score_gemma":0.0027647612,"threshold_uncertainty_score":0.1590156},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.11249672192798764,"score_gpt":0.24952475810316935,"score_spread":0.13702803617518172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403707948","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99328554,0.00017591976,0.0022444257,0.00044214627,0.00000741078,0.000009515957,0.0002558961,0.000023195878,0.0035559114],"genre_scores_gemma":[0.9972615,0.00034295654,0.0018030321,0.000059583333,0.000005010154,0.000012115055,0.0001826541,0.0000074887384,0.0003256537],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9999101,0.00003389205,0.0000030648257,0.000024288405,0.000009254267,0.000019292444],"domain_scores_gemma":[0.99985516,0.000048555685,0.000029848887,0.000011425558,0.000015932861,0.000039065068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003564072,0.00031333853,0.00018532856,0.00031692753,0.00054562447,0.0010996049,0.00045626194,0.00053349725,0.0015796773],"category_scores_gemma":[0.0005426205,0.00023177854,0.00052356155,0.00041149452,0.00044494902,0.00095589634,0.00058134453,0.0004452087,0.00007895118],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016012727,0.00017177772,0.37140515,0.0001790611,0.00052908715,0.0018085997,0.00089702685,0.5911453,0.009086313,0.010764466,0.0012363514,0.012616727],"study_design_scores_gemma":[0.000057784775,0.00014018039,0.23243724,0.00005479171,0.00014659666,0.00034819546,0.0035171038,0.74308455,0.0009865467,0.013876219,0.0052867387,0.00006409607],"about_ca_topic_score_codex":0.09269539,"about_ca_topic_score_gemma":0.1581918,"teacher_disagreement_score":0.09269539,"about_ca_system_score_codex":0.0016879451,"about_ca_system_score_gemma":0.0012763032,"threshold_uncertainty_score":0.18431169},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.055112700124647966,"score_gpt":0.3571230931611014,"score_spread":0.30201039303645344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403939661","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972983,0.00084626436,0.00005041458,0.0011294404,0.000015409134,0.000017191935,0.000020339245,0.0000011846448,0.0006213646],"genre_scores_gemma":[0.9981273,0.0010603005,0.000111787056,0.00038920538,0.000007867358,0.000046971087,0.000011062487,0.0000012983327,0.00024430465],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99929774,0.00037802613,0.000037673894,0.000045745153,0.00005408654,0.00018670973],"domain_scores_gemma":[0.9992859,0.00025725394,0.00018635191,0.000022470927,0.000064247586,0.00018389616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013138958,0.00027795648,0.00047082754,0.00043102977,0.0046056835,0.0013009594,0.0004599011,0.00094647397,0.000921943],"category_scores_gemma":[0.0033115316,0.0005162831,0.00025094693,0.000581869,0.0022329267,0.0014237962,0.0019590203,0.00142909,0.00009908836],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007484631,0.00009153525,0.1597258,0.00027422927,0.000030512114,0.0032515214,0.82343686,0.00004485683,0.0012471674,0.00047155755,0.0008471434,0.010503906],"study_design_scores_gemma":[0.0000048462975,0.00016463432,0.09515385,0.00023054174,0.000017677236,0.0011730901,0.90036076,0.00007088672,0.00010130714,0.00019050585,0.0025071318,0.000024747429],"about_ca_topic_score_codex":0.033670656,"about_ca_topic_score_gemma":0.062010948,"teacher_disagreement_score":0.033670656,"about_ca_system_score_codex":0.0014190524,"about_ca_system_score_gemma":0.0014472482,"threshold_uncertainty_score":0.06694937},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.03459075421026147,"score_gpt":0.30443607365405423,"score_spread":0.26984531944379275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404399329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964768,0.000043867494,0.0029956913,0.00004131248,0.0000024320827,0.0000051601733,0.0001886837,0.000026837022,0.00021933789],"genre_scores_gemma":[0.9975915,0.00002411971,0.0018904399,0.000010696301,0.000002468259,0.000008250042,0.00031766394,0.000008566504,0.00014625891],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99979,0.00005866597,0.000012761393,0.000089024456,0.0000209479,0.000028616336],"domain_scores_gemma":[0.99899024,0.00058932736,0.00018001947,0.00008136003,0.00006631951,0.00009269339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013207223,0.00042835725,0.000272395,0.0006466777,0.00029135452,0.000880639,0.0006257855,0.00037901854,0.0006974669],"category_scores_gemma":[0.004555391,0.00033866303,0.00059016736,0.00044085144,0.0003925689,0.0010425354,0.0006358639,0.00035682946,0.0000985517],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024573447,0.0000811227,0.8133047,0.00003808335,0.0002824444,0.000077468896,0.00019341649,0.16509256,0.0022504255,0.00031798962,0.00028048022,0.017835552],"study_design_scores_gemma":[0.000013088355,0.00009433796,0.3045442,0.000011810447,0.00006595278,0.000045445337,0.0005020244,0.6930288,0.00067372766,0.0007537955,0.00023831191,0.000028538729],"about_ca_topic_score_codex":0.0889574,"about_ca_topic_score_gemma":0.10530745,"teacher_disagreement_score":0.0889574,"about_ca_system_score_codex":0.000916487,"about_ca_system_score_gemma":0.00096283475,"threshold_uncertainty_score":0.17687923},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.0338010643868631,"score_gpt":0.2518037765489932,"score_spread":0.21800271216213013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404629308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948435,0.0000933094,0.0010532897,0.0003242723,0.0000072825633,0.0000035464432,0.0017656686,0.000062269595,0.0018468234],"genre_scores_gemma":[0.99750996,0.00007810966,0.0009139934,0.000048226113,0.0000019535116,0.000004375043,0.0010756105,0.000012396338,0.00035547317],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998499,0.00004023187,0.00000821925,0.000045646895,0.000017976445,0.000037925194],"domain_scores_gemma":[0.9994215,0.00019495335,0.0001124267,0.00006932322,0.00014932845,0.000052568754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004926867,0.00023566147,0.000114833354,0.00033542782,0.00030279352,0.00066393043,0.00029739994,0.00021665641,0.0013455207],"category_scores_gemma":[0.0015489822,0.00021940084,0.00044094512,0.00043573795,0.0002623526,0.0004393686,0.00040049612,0.00031295695,0.00010944303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007986155,0.000018553717,0.76344246,0.00003818178,0.00023407875,0.0001376674,0.00022477862,0.21604024,0.002421424,0.001035843,0.0025455323,0.013781343],"study_design_scores_gemma":[0.000019021385,0.000016131238,0.8525625,0.0000313279,0.00006580317,0.000044368582,0.00043525483,0.14249009,0.00046120698,0.00062764203,0.0032141325,0.000032450287],"about_ca_topic_score_codex":0.71729714,"about_ca_topic_score_gemma":0.82726693,"teacher_disagreement_score":0.28270286,"about_ca_system_score_codex":0.0038243274,"about_ca_system_score_gemma":0.001890377,"threshold_uncertainty_score":0.5687355},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.23809685516253043,"score_gpt":0.45081884053312954,"score_spread":0.2127219853705991,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405181004","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"reproducibility","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"reproducibility","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01089003,0.03598943,0.15563178,0.72557676,0.0135923205,0.0014356427,0.0012553355,0.0013457013,0.054283008],"genre_scores_gemma":[0.19612995,0.055810574,0.5592651,0.16070297,0.0055400487,0.0037826933,0.004699936,0.0018870272,0.012181664],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.8518212,0.0777569,0.007995024,0.0069157323,0.045594163,0.009916992],"domain_scores_gemma":[0.738309,0.1322616,0.0076907696,0.037391778,0.06899789,0.015348997],"candidate_categories":["metaresearch","open_science"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.29862878,0.0022805573,0.002674803,0.005238109,0.009750118,0.038377102,0.014637125,0.022171168,0.0060064932],"category_scores_gemma":[0.23247159,0.0012412671,0.00423666,0.007083606,0.032787737,0.042055666,0.025029993,0.03166134,0.0020223784],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014684598,0.0005764738,0.0031212526,0.0022169952,0.00012970116,0.00040664276,0.009496306,0.0068240347,0.0005976658,0.6919429,0.082741804,0.20179942],"study_design_scores_gemma":[0.000098120305,0.00019396312,0.0020678588,0.0067805005,0.000056453002,0.00015192533,0.008529967,0.0019157937,0.0012988228,0.4909159,0.48773304,0.00025775237],"about_ca_topic_score_codex":0.05359557,"about_ca_topic_score_gemma":0.026684912,"teacher_disagreement_score":0.9853629,"about_ca_system_score_codex":0.019295748,"about_ca_system_score_gemma":0.13554497,"threshold_uncertainty_score":0.8649156},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.046677487984147434,"score_gpt":0.2562972077016783,"score_spread":0.20961971971753085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406858033","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99186724,0.0041958466,0.00057904527,0.00060245494,0.00003923866,0.000009141669,0.00020115623,0.000025966578,0.0024799774],"genre_scores_gemma":[0.99752444,0.0017863564,0.0002546291,0.00012145884,0.000034325658,0.0000039803444,0.00012410508,0.000003986632,0.00014667187],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999308,0.00015462312,0.000068804606,0.00011977258,0.00017930387,0.00016951785],"domain_scores_gemma":[0.99808747,0.00030506623,0.00081965077,0.0001266902,0.00035123993,0.00030981717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012411121,0.00031602298,0.00041468834,0.0012918297,0.0014567939,0.0016463302,0.00026793024,0.0004885368,0.00080097344],"category_scores_gemma":[0.0018679356,0.0001844867,0.00048580577,0.0011870475,0.0011184823,0.00073970936,0.0016533894,0.00055118,0.000092095266],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000099229146,0.00002997868,0.9669223,0.0001423876,0.00020436385,0.0004152949,0.0015531186,0.0011518375,0.0029676114,0.00077937974,0.0004189115,0.02531553],"study_design_scores_gemma":[0.0000011863698,0.000027121969,0.9956748,0.00004401163,0.000034228957,0.00015948691,0.0018753686,0.0003727513,0.00017638532,0.00075204746,0.0008698901,0.000012705242],"about_ca_topic_score_codex":0.019478591,"about_ca_topic_score_gemma":0.04922788,"teacher_disagreement_score":0.019478591,"about_ca_system_score_codex":0.0008904074,"about_ca_system_score_gemma":0.00075410696,"threshold_uncertainty_score":0.038730443},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.01682668817732118,"score_gpt":0.2376181409640415,"score_spread":0.2207914527867203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407594171","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99710256,0.00036877595,0.00085665943,0.00014102344,0.0000107409505,0.0000044889234,0.0003615718,0.00002483973,0.0011293053],"genre_scores_gemma":[0.99900264,0.00023060088,0.00032578266,0.000034479224,0.000006516681,0.000002460809,0.0002353041,0.0000022274214,0.00016005813],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999114,0.000020745541,0.000004853071,0.00003453614,0.00001449813,0.000013878122],"domain_scores_gemma":[0.9998368,0.000028575756,0.0000660058,0.000013773088,0.00003557793,0.000019304242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026092475,0.00018340994,0.00012421292,0.00023765431,0.00033388333,0.0005398644,0.00014445766,0.00025592468,0.0011923438],"category_scores_gemma":[0.0004911237,0.000106889696,0.00036697873,0.00031889576,0.00017142388,0.00040547462,0.00028059032,0.00027117555,0.00008890255],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032978456,0.000037940164,0.967885,0.000059879596,0.00013404075,0.00015143622,0.00023906153,0.014096145,0.0045222472,0.00035829112,0.00053667073,0.011946273],"study_design_scores_gemma":[0.0000025234758,0.00003089344,0.9832638,0.000010506805,0.00005010557,0.00007495378,0.00023092653,0.014460057,0.00020456381,0.00016681815,0.0014968757,0.000008033889],"about_ca_topic_score_codex":0.051086493,"about_ca_topic_score_gemma":0.11386671,"teacher_disagreement_score":0.9489135,"about_ca_system_score_codex":0.00051593606,"about_ca_system_score_gemma":0.0005234904,"threshold_uncertainty_score":0.101578236},"labels":[],"label_agreement":null},{"id":"W4409314303","doi":"10.1371/journal.pclm.0000275","title":"What can be said about risks, vulnerabilities, and adaptation to climate change in Caribbean small island developing states (SIDS)? The case of Dominica. A qualitative study","year":2025,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fonds de Recherche du Québec-Société et Culture","keywords":"Small Island Developing States; Adaptation (eye); Climate change; Climate change adaptation; Geography; Caribbean region; Environmental resource management; Environmental planning; Political science; Ecology; Psychology; Latin Americans; Environmental science; Biology","score_opus":0.188978553521286,"score_gpt":0.40535102919623545,"score_spread":0.21637247567494944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409314303","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9157596,0.008231196,0.0007958066,0.04968683,0.0001403327,0.00014039362,0.00013932404,0.000013861201,0.025092743],"genre_scores_gemma":[0.99229103,0.0030416586,0.0002831703,0.002243708,0.000017331698,0.00009596878,0.00003101814,0.0000068029635,0.0019892736],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99611014,0.0026401752,0.00008790036,0.0001793032,0.00020019342,0.0007822677],"domain_scores_gemma":[0.9936371,0.0042228363,0.00045580667,0.00017082825,0.00058685464,0.0009266834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005900814,0.00057404896,0.00047912227,0.0019343125,0.016992556,0.0067233555,0.0016059881,0.0022692936,0.0022891306],"category_scores_gemma":[0.009643074,0.00036108005,0.0003652939,0.0028917235,0.015574403,0.005540861,0.0054077255,0.0032133104,0.00010463893],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008358434,0.000008539219,0.0024313633,0.000097897166,0.0000037544823,0.0012398871,0.98985636,0.000033420692,0.00027695755,0.0032240371,0.000619557,0.0021998954],"study_design_scores_gemma":[7.230336e-7,0.000003333007,0.0010287554,0.0001240067,0.0000023872165,0.00011873634,0.99113095,0.000017849601,0.000033745553,0.00030024615,0.007234083,0.000005144417],"about_ca_topic_score_codex":0.3333034,"about_ca_topic_score_gemma":0.39538953,"teacher_disagreement_score":0.3333034,"about_ca_system_score_codex":0.020475142,"about_ca_system_score_gemma":0.014000367,"threshold_uncertainty_score":0.6627267},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.012290399519673272,"score_gpt":0.23604115744530785,"score_spread":0.22375075792563456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410089111","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23712024,0.011862745,0.028943345,0.36499822,0.010121335,0.000052742602,0.00064582744,0.0004980958,0.34575745],"genre_scores_gemma":[0.9827403,0.0013732915,0.0027121312,0.005919753,0.001099522,0.000021399865,0.000108660584,0.00022934294,0.0057957703],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990945,0.00028545244,0.000035672012,0.00023172243,0.00015335986,0.00019917912],"domain_scores_gemma":[0.9984162,0.00050130696,0.0001579658,0.00021358875,0.0002809213,0.00043006768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025633324,0.00014158717,0.00040602812,0.00034238107,0.002291771,0.0051331953,0.0008750078,0.002373997,0.011303378],"category_scores_gemma":[0.009275153,0.00017926369,0.0002934682,0.00046196836,0.0051813466,0.0074689565,0.0032730382,0.0028906364,0.0011954852],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013571093,0.000028328954,0.0072954185,0.000081477476,0.000034414494,0.0002655695,0.0043122782,0.001648645,0.0007368915,0.90765125,0.03912064,0.038689453],"study_design_scores_gemma":[0.000029259589,0.000024136916,0.0065832795,0.00014932192,0.000015930815,0.00012953939,0.0059613446,0.0023613174,0.00031949717,0.8268067,0.15758334,0.00003631586],"about_ca_topic_score_codex":0.0072304904,"about_ca_topic_score_gemma":0.0054760873,"teacher_disagreement_score":0.011303378,"about_ca_system_score_codex":0.0013708755,"about_ca_system_score_gemma":0.001287799,"threshold_uncertainty_score":0.037813544},"labels":[],"label_agreement":null},{"id":"W4410226374","doi":"10.1371/journal.pclm.0000460","title":"Meeting climate change challenges in coastal Bangladesh: A study of technology-based adaptations in water use in Satkhira District","year":2025,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Water resources management and optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Climate change; Geography; Climate change adaptation; Environmental planning; Water resource management; Environmental science; Oceanography; Geology","score_opus":0.05176371039398769,"score_gpt":0.23103504473039785,"score_spread":0.17927133433641015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410226374","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988174,0.000031528096,0.000026836384,0.00016148767,0.0000014669399,0.000028074981,0.00003478541,8.288654e-7,0.00089750584],"genre_scores_gemma":[0.9984547,0.00024337124,0.00013530542,0.00016025253,0.0000028022196,0.00006606667,0.00004047948,0.0000022836396,0.000894673],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99929297,0.0003280416,0.000032861008,0.00008185382,0.00006055788,0.00020365964],"domain_scores_gemma":[0.9984883,0.0005917158,0.0002871602,0.000074595824,0.00018132449,0.00037689845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093120465,0.00035595373,0.0004697606,0.00064499176,0.005371274,0.0017752344,0.0007914369,0.0010802993,0.0033152308],"category_scores_gemma":[0.0020504692,0.0005649162,0.00024851118,0.0019701472,0.0019589653,0.0012860488,0.0016393454,0.0012270251,0.00061879656],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016311336,0.001069229,0.23525964,0.00041477452,0.000033813496,0.0061759953,0.7334967,0.00019034673,0.0056562563,0.00091399637,0.0010274338,0.015598677],"study_design_scores_gemma":[0.000009477071,0.00045517652,0.13602675,0.000066333196,0.000012554805,0.00038202637,0.8589855,0.00010011802,0.00017920848,0.00010657,0.003655471,0.000020888],"about_ca_topic_score_codex":0.041034784,"about_ca_topic_score_gemma":0.120019056,"teacher_disagreement_score":0.041034784,"about_ca_system_score_codex":0.0025368964,"about_ca_system_score_gemma":0.0024791698,"threshold_uncertainty_score":0.081591904},"labels":[],"label_agreement":null},{"id":"W4410226577","doi":"10.1371/journal.pclm.0000398","title":"The Virtual Water Gallery: Art as a catalyst for transforming knowledge and behaviour in water and climate","year":2025,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council","keywords":"Virtual water; Climate change; Business; Environmental science; Geography; Water scarcity; Geology; Archaeology","score_opus":0.007458718631078546,"score_gpt":0.2552101929665385,"score_spread":0.24775147433545996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410226577","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08796089,0.008910771,0.02070874,0.043162946,0.003470971,0.00023315725,0.00028566233,0.0006970515,0.83456993],"genre_scores_gemma":[0.8423317,0.0063008415,0.01532914,0.007058306,0.0011799175,0.00022983865,0.0002008734,0.0006351183,0.12673423],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970606,0.0014546205,0.00005019036,0.00026776196,0.0007014156,0.0004655009],"domain_scores_gemma":[0.99622786,0.0015281728,0.0001809235,0.0006623943,0.0002763209,0.0011244132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003641557,0.00052692235,0.0003173369,0.0020254576,0.011214319,0.017184092,0.001779466,0.0023240468,0.022761388],"category_scores_gemma":[0.0053149676,0.0003415724,0.0006150324,0.0013865312,0.019562053,0.0081390925,0.016891498,0.0028799442,0.0024843698],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014147934,0.00018964817,0.0048709214,0.0009743798,0.00007587971,0.00092855195,0.18074884,0.0012973307,0.0032002614,0.39476976,0.16985807,0.24294485],"study_design_scores_gemma":[0.000021776148,0.000057312358,0.0023231714,0.0005491363,0.000023063589,0.00034306606,0.046275735,0.00050512876,0.0007015286,0.050311677,0.89884955,0.00003880338],"about_ca_topic_score_codex":0.013509292,"about_ca_topic_score_gemma":0.028989047,"teacher_disagreement_score":0.022761388,"about_ca_system_score_codex":0.0034476076,"about_ca_system_score_gemma":0.0060612266,"threshold_uncertainty_score":0.0761444},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Climate change; Climatology; Environmental science; Geography; Oceanography; Geology","score_opus":0.039921206009377014,"score_gpt":0.3189298218810797,"score_spread":0.27900861587170267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410574660","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9850641,0.00070161244,0.0018550773,0.00054195203,0.000031356103,0.000010692589,0.0072376076,0.00007804404,0.004479509],"genre_scores_gemma":[0.9939032,0.00043411736,0.0006542613,0.00009835573,0.000016838592,0.00000981179,0.0045267656,0.000028773817,0.00032786024],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999764,0.000059088703,0.000013319433,0.00008663513,0.00004300324,0.000033839304],"domain_scores_gemma":[0.9993032,0.00017059797,0.00017259443,0.00012497354,0.0001616627,0.000066956505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003914178,0.00022888783,0.00023775404,0.00069677894,0.0003082966,0.00095281017,0.00019628518,0.00020556926,0.0012409585],"category_scores_gemma":[0.0014693409,0.00014373782,0.00050471415,0.0016932341,0.00033074184,0.0007512419,0.00055992167,0.0003713695,0.0002367043],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000071797025,0.000025257774,0.9601617,0.000083038336,0.00032263604,0.00013698595,0.00066886685,0.014197091,0.0016954317,0.0010601269,0.0036979876,0.017879145],"study_design_scores_gemma":[0.0000028488564,0.000008896418,0.9881932,0.000020949465,0.000029943341,0.000047472022,0.00047327348,0.005453499,0.00020774812,0.00039245855,0.0051579317,0.000011660044],"about_ca_topic_score_codex":0.051865596,"about_ca_topic_score_gemma":0.06681026,"teacher_disagreement_score":0.051865596,"about_ca_system_score_codex":0.0004883359,"about_ca_system_score_gemma":0.00032684684,"threshold_uncertainty_score":0.10312742},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Limnology; Environmental science; Oceanography; Geology","score_opus":0.030900156479479923,"score_gpt":0.2477089446782111,"score_spread":0.2168087881987312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411087077","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20511544,0.042652916,0.020550767,0.36987734,0.045311972,0.0000704575,0.001537036,0.00071053556,0.31417355],"genre_scores_gemma":[0.8770632,0.008006126,0.009090065,0.022745196,0.016908025,0.00008345578,0.00044080536,0.0008020932,0.06486091],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99809927,0.0009920432,0.00011826366,0.00023802363,0.00023507989,0.0003173241],"domain_scores_gemma":[0.99386024,0.0015793006,0.00041154516,0.0009805184,0.00067303336,0.0024952362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0068877107,0.00034901145,0.00057333976,0.0012030258,0.005146486,0.005292064,0.0011266812,0.0024311058,0.017557709],"category_scores_gemma":[0.007640373,0.00024558153,0.0003200852,0.0011366014,0.0052933893,0.0070902896,0.00804912,0.0040041194,0.0019151461],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010695172,0.00016732697,0.0674743,0.00081468595,0.000092953036,0.0031810622,0.034899753,0.00035121752,0.0047095306,0.25799495,0.24193262,0.387312],"study_design_scores_gemma":[0.000022081536,0.00013376362,0.034800515,0.0009231547,0.000019592806,0.0015032594,0.025002781,0.00014031067,0.00034807497,0.064082764,0.8729805,0.00004319835],"about_ca_topic_score_codex":0.0028101036,"about_ca_topic_score_gemma":0.013607601,"teacher_disagreement_score":0.017557709,"about_ca_system_score_codex":0.0014422938,"about_ca_system_score_gemma":0.003278809,"threshold_uncertainty_score":0.058736384},"labels":[],"label_agreement":null},{"id":"W4411339902","doi":"10.1371/journal.pclm.0000512","title":"Improving an integrative framework of health system resilience and climate change: Lessons from Bangladesh and Haiti","year":2025,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Agence Nationale de la Recherche","keywords":"Resilience (materials science); Climate change; Environmental planning; Environmental resource management; Geography; Political science; Environmental science; Oceanography; Geology","score_opus":0.05243975812027658,"score_gpt":0.33961260910059266,"score_spread":0.2871728509803161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411339902","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19547807,0.10735372,0.049782567,0.36852145,0.0016085204,0.0011885769,0.001551328,0.0002158258,0.2742999],"genre_scores_gemma":[0.9047294,0.05260008,0.027631499,0.007247711,0.0002235358,0.0007178876,0.00047957123,0.0000669675,0.0063033164],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9954661,0.0033031185,0.0001994321,0.00023543483,0.00030266808,0.0004931261],"domain_scores_gemma":[0.99341476,0.0040877885,0.00027924072,0.00029135714,0.0012150444,0.000711839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014699524,0.0013430793,0.000913247,0.004073897,0.004556721,0.006734775,0.0021610835,0.0021222217,0.0056670727],"category_scores_gemma":[0.0076939096,0.00046973015,0.0007758134,0.0055125905,0.013397211,0.010371503,0.008339184,0.0050237137,0.00048159878],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013079285,0.00017093876,0.011393625,0.0033013527,0.00015930177,0.0029828039,0.16595198,0.006090882,0.0008766847,0.6694073,0.014987991,0.12454631],"study_design_scores_gemma":[0.000055237073,0.00018621467,0.015665356,0.008462283,0.00019295287,0.00068782707,0.3416827,0.0043056277,0.00067854405,0.33963215,0.28822544,0.00022573411],"about_ca_topic_score_codex":0.097578116,"about_ca_topic_score_gemma":0.14067577,"teacher_disagreement_score":0.097578116,"about_ca_system_score_codex":0.02187617,"about_ca_system_score_gemma":0.02364247,"threshold_uncertainty_score":0.19402027},"labels":[],"label_agreement":null},{"id":"W4411487069","doi":"10.1371/journal.pclm.0000486","title":"Operationalizing accessibility in environmental sustainability efforts: Challenges, barriers, and opportunities","year":2025,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Wilfrid Laurier University","funders":"Social Sciences and Humanities Research Council","keywords":"Operationalization; Sustainability; Mindset; Equity (law); Inclusion (mineral); Public relations; Universal design; Environmental justice; Political science; Sociology; Environmental planning; Business; Engineering; Computer science; Geography; Social science","score_opus":0.042631872411546916,"score_gpt":0.30829928919094385,"score_spread":0.2656674167793969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411487069","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6135149,0.0094389,0.11592943,0.07393287,0.00046983187,0.0007532323,0.0001323719,0.00020532393,0.18562318],"genre_scores_gemma":[0.9819932,0.0013442627,0.014702438,0.0007239392,0.000047150883,0.00021901332,0.000019807077,0.000030080422,0.0009201085],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.92239326,0.062405977,0.00310398,0.00206774,0.006830105,0.0031987994],"domain_scores_gemma":[0.93069303,0.05263607,0.004583502,0.0032136627,0.006442302,0.00243153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06324829,0.00087836717,0.0008861038,0.005126058,0.009353336,0.019158343,0.002409518,0.0033579045,0.003927283],"category_scores_gemma":[0.06612353,0.0006616382,0.00073160336,0.0034334166,0.035697505,0.022688039,0.033290695,0.0039691,0.0003728527],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000075129436,0.00043221927,0.036332823,0.002584679,0.00010594656,0.0007257354,0.456507,0.002475416,0.0015437165,0.33416066,0.0019246899,0.16313203],"study_design_scores_gemma":[0.000020570096,0.00028349657,0.009095454,0.0040698047,0.00007525176,0.00047673698,0.718426,0.0020333591,0.0014262514,0.20743698,0.05656909,0.00008695747],"about_ca_topic_score_codex":0.006482662,"about_ca_topic_score_gemma":0.007064742,"teacher_disagreement_score":0.06324829,"about_ca_system_score_codex":0.0064300853,"about_ca_system_score_gemma":0.015133364,"threshold_uncertainty_score":0.33449292},"labels":[],"label_agreement":null},{"id":"W4412124047","doi":"10.1371/journal.pclm.0000659","title":"Marine communities do not follow the paradigm of increasing similarity through time","year":2025,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Fondation pour la Recherche sur la Biodiversite; Directorate for Biological Sciences; U.S. Department of Education","keywords":"Similarity (geometry); Geography; Computer science; Artificial intelligence","score_opus":0.031209900872705098,"score_gpt":0.26615915018582714,"score_spread":0.23494924931312205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412124047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.977742,0.00078859634,0.011900644,0.00047233704,0.00002528244,0.00006872401,0.00040820215,0.00006556309,0.008528679],"genre_scores_gemma":[0.9975091,0.00015214256,0.00170484,0.00013750311,0.000012102495,0.00001903986,0.00015677985,0.0000088737825,0.00029959917],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984149,0.0003094421,0.0001364593,0.0006879164,0.00031267884,0.00013860743],"domain_scores_gemma":[0.9963097,0.0005054936,0.0015746042,0.0008095989,0.00047679408,0.0003237557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001558815,0.0002149898,0.0004821295,0.0013620303,0.0012000175,0.0014854982,0.0006165877,0.00047271742,0.001996458],"category_scores_gemma":[0.0065715583,0.0002001058,0.00039435562,0.0014812654,0.0024606579,0.002043637,0.0018419351,0.00051242835,0.0003647411],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023520642,0.00007162248,0.8852907,0.00045855396,0.00093494746,0.00028526827,0.006590026,0.0025167444,0.018530345,0.012175126,0.0010729873,0.071838506],"study_design_scores_gemma":[0.000013116813,0.00020022309,0.97422975,0.000050486335,0.00009224488,0.0005635975,0.0027887668,0.0026203184,0.0010984584,0.013681786,0.0046299123,0.000031317737],"about_ca_topic_score_codex":0.0056369193,"about_ca_topic_score_gemma":0.0114560835,"teacher_disagreement_score":0.0056369193,"about_ca_system_score_codex":0.00081814796,"about_ca_system_score_gemma":0.0007184469,"threshold_uncertainty_score":0.011208236},"labels":[],"label_agreement":null},{"id":"W4412720416","doi":"10.1371/journal.pclm.0000498","title":"A landscape study on the intersection between climate change and gender-based violence in Uganda","year":2025,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Transboundary Water Resource Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Michigan State University","keywords":"Intersection (aeronautics); Climate change; Geography; Environmental planning; Cartography; Geology; Oceanography","score_opus":0.10383755147509058,"score_gpt":0.325583229139741,"score_spread":0.22174567766465045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412720416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899609,0.0012551795,0.00043544607,0.0010976457,0.000020560337,0.000103525505,0.0000771433,0.000003948778,0.00704554],"genre_scores_gemma":[0.99717605,0.0010332525,0.00033818095,0.00029479346,0.00001074665,0.00010833928,0.000035493267,0.0000049188757,0.0009983319],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9979784,0.0013695916,0.000047971324,0.00011038418,0.0000888901,0.0004048868],"domain_scores_gemma":[0.9986903,0.0007033659,0.00021634523,0.000060548202,0.0001313253,0.00019820622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022089605,0.00035803212,0.00056834077,0.002199031,0.008084181,0.0027600979,0.0009567546,0.0011773866,0.0048633725],"category_scores_gemma":[0.0042382334,0.0005872659,0.00028311845,0.0029148282,0.0038786023,0.004359423,0.004392357,0.0013982407,0.00024292737],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007152585,0.0002056589,0.05264485,0.00050350575,0.000018711646,0.0057811076,0.9110008,0.00010170935,0.0006748963,0.0045971996,0.0015843905,0.022815723],"study_design_scores_gemma":[0.000005072922,0.00016185745,0.04364386,0.00040532704,0.000011546934,0.0010605542,0.93957573,0.00009478256,0.00010606926,0.00093525316,0.013985664,0.000014367445],"about_ca_topic_score_codex":0.020243702,"about_ca_topic_score_gemma":0.045445815,"teacher_disagreement_score":0.020243702,"about_ca_system_score_codex":0.0032347806,"about_ca_system_score_gemma":0.0021195828,"threshold_uncertainty_score":0.040251732},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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)","score_opus":0.03384163894284083,"score_gpt":0.27173669279398077,"score_spread":0.23789505385113993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413346265","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23653424,0.003589234,0.5666138,0.020778071,0.00014901371,0.0009133029,0.00028428013,0.00030983254,0.17082822],"genre_scores_gemma":[0.9530445,0.0014125154,0.042958383,0.00025386512,0.0000102575605,0.00027406387,0.00008038198,0.00004079454,0.0019252475],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9942629,0.0038103044,0.00023142424,0.00049188646,0.00061007094,0.00059339206],"domain_scores_gemma":[0.9940315,0.003069376,0.0010217077,0.00056695944,0.0007688054,0.00054171664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0066034207,0.00080067856,0.00034445495,0.004059278,0.0034734905,0.008653168,0.0021205633,0.0032790222,0.0035306094],"category_scores_gemma":[0.010999339,0.00046949025,0.00069824135,0.003116353,0.029441303,0.018942595,0.0068362365,0.0032815977,0.00034398798],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020807447,0.000026248901,0.004012374,0.00015506263,0.000010075305,0.00022834787,0.011716564,0.005553369,0.00018265234,0.9652276,0.000504377,0.01236253],"study_design_scores_gemma":[0.0000105487325,0.0000615792,0.0019434284,0.0005038025,0.000018826717,0.00033311284,0.033885688,0.0072686295,0.0004526827,0.9226309,0.03285569,0.00003502205],"about_ca_topic_score_codex":0.0066793473,"about_ca_topic_score_gemma":0.007161009,"teacher_disagreement_score":0.008653168,"about_ca_system_score_codex":0.00714097,"about_ca_system_score_gemma":0.007315282,"threshold_uncertainty_score":0.051811576},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Preparedness; Coping (psychology); Psychology; Extreme heat; Gerontology; Medicine; Clinical psychology; Political science; Geology","score_opus":0.05318327879559812,"score_gpt":0.2996306469512339,"score_spread":0.2464473681556358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413365632","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00021532785,0.9989802,0.000053396943,0.00022834823,0.00014819435,0.00006681757,0.00010951797,0.000004118441,0.00019400651],"genre_scores_gemma":[0.0014413161,0.9977215,0.0001772959,0.00026882606,0.00010561711,0.0001110872,0.00008898094,0.0000017348356,0.00008363093],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99764854,0.0005202402,0.0009886294,0.00024301988,0.00047857055,0.00012099115],"domain_scores_gemma":[0.9806276,0.013935672,0.0027760367,0.00022034132,0.0021648724,0.00027549677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042805127,0.0011873574,0.0035921328,0.010286019,0.0006125788,0.0024471448,0.0015569779,0.0018891699,0.0048936093],"category_scores_gemma":[0.016787551,0.0008264175,0.004195495,0.010030777,0.00046143384,0.0027837243,0.0014871653,0.0012847363,0.0005875402],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012219686,0.00003830667,0.0007173872,0.79079896,0.0017810698,0.00013790998,0.00035140445,0.00009935369,0.00020766057,0.00052197126,0.007957913,0.1972659],"study_design_scores_gemma":[0.000083742045,0.00023679296,0.0059979595,0.84023654,0.013435725,0.0007531424,0.0004014927,0.00009107763,0.00015424113,0.00054471724,0.13800988,0.00005481483],"about_ca_topic_score_codex":0.005304113,"about_ca_topic_score_gemma":0.013411052,"teacher_disagreement_score":0.010286019,"about_ca_system_score_codex":0.0019889409,"about_ca_system_score_gemma":0.008074367,"threshold_uncertainty_score":0.022637784},"labels":[],"label_agreement":null},{"id":"W4414606205","doi":"10.1371/journal.pclm.0000546","title":"Investigating the recommendations and governmental actions to address the emerging risks of vector-borne diseases in Canada’s changing climate: A scoping review","year":2025,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Adaptation (eye); Consistency (knowledge bases); Government (linguistics); Inclusion (mineral); Grey literature; Climate change adaptation; Population health; Population","score_opus":0.12344084380920729,"score_gpt":0.3827724079604371,"score_spread":0.2593315641512298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414606205","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0043701148,0.95976543,0.0017621423,0.019503547,0.0012878346,0.0016493616,0.0011123904,0.000059663576,0.01048946],"genre_scores_gemma":[0.028508376,0.9596163,0.006177994,0.0032025892,0.00013838847,0.0009073552,0.00065950275,0.000019284496,0.0007702556],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9674508,0.010997747,0.006731061,0.0013092833,0.011351535,0.0021596006],"domain_scores_gemma":[0.88151,0.055574756,0.008041121,0.0017289743,0.05048566,0.0026594007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05908826,0.0016776555,0.0031655591,0.019783743,0.005384637,0.011889792,0.005385955,0.003769174,0.0026999188],"category_scores_gemma":[0.12283833,0.0011873398,0.0032889287,0.032405265,0.0036749088,0.0052194917,0.0036423253,0.003841496,0.00045778914],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015312688,0.000102624486,0.007705334,0.51585424,0.001996495,0.0005838376,0.01623148,0.0023103924,0.0008740985,0.015127343,0.035905562,0.40315536],"study_design_scores_gemma":[0.00005178026,0.000049438153,0.009132089,0.73643404,0.0044483943,0.00014251644,0.010967738,0.0005046718,0.00070808554,0.001757615,0.23569065,0.00011297787],"about_ca_topic_score_codex":0.80526865,"about_ca_topic_score_gemma":0.9035357,"teacher_disagreement_score":0.9202796,"about_ca_system_score_codex":0.0797204,"about_ca_system_score_gemma":0.38641614,"threshold_uncertainty_score":0.5784147},"labels":[],"label_agreement":null},{"id":"W4415009281","doi":"10.1371/journal.pclm.0000708","title":"Towards provision of regularly updated climate data from the Coupled Model Intercomparison Project","year":2025,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Climate variability and models","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; Environment and Climate Change Canada","funders":"Agence Nationale de la Recherche","keywords":"Climate change; Work (physics); Data collection; Climate model","score_opus":0.07269313618365382,"score_gpt":0.3126144006495744,"score_spread":0.2399212644659206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415009281","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23425539,0.0029177843,0.5121531,0.026341613,0.0052794856,0.0006637107,0.17766665,0.021346683,0.019375572],"genre_scores_gemma":[0.39349815,0.0016241851,0.4363624,0.0023416297,0.00065255864,0.00075246335,0.15857053,0.0043225107,0.0018755007],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9944143,0.0025035248,0.00082795287,0.00069442386,0.0012556607,0.00030415697],"domain_scores_gemma":[0.94722474,0.0085415095,0.0046209716,0.023981161,0.013562272,0.002069421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.023355735,0.00089063816,0.0011707057,0.0031103669,0.0008472602,0.0037103696,0.004241847,0.0025931946,0.0023701321],"category_scores_gemma":[0.07307404,0.0011162795,0.0007685258,0.0037598084,0.00058306643,0.00574334,0.0037703163,0.0042610965,0.0016614643],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001099854,0.0010261353,0.13083853,0.0010050469,0.0011279492,0.00043138073,0.0013763169,0.1951887,0.016026916,0.040574167,0.20188062,0.4094244],"study_design_scores_gemma":[0.00054831826,0.0002662618,0.112957984,0.001521119,0.00072128634,0.0002290518,0.0011212339,0.35368127,0.021906067,0.06888933,0.43744254,0.0007155896],"about_ca_topic_score_codex":0.027251268,"about_ca_topic_score_gemma":0.02193268,"teacher_disagreement_score":0.027251268,"about_ca_system_score_codex":0.0015715011,"about_ca_system_score_gemma":0.0059835142,"threshold_uncertainty_score":0.12351841},"labels":[],"label_agreement":null},{"id":"W4416011852","doi":"10.1371/journal.pclm.0000600","title":"Development and validation of MACK-12: A short multidimensional climate knowledge scale","year":2025,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Scale (ratio); Reliability (semiconductor); Climate change; Construct (python library); Construct validity; Sample (material); Set (abstract data type); Climate model","score_opus":0.3050866669067062,"score_gpt":0.43085683661958096,"score_spread":0.12577016971287475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416011852","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8594887,0.001260813,0.043058097,0.0020138146,0.00032087826,0.034975234,0.024852647,0.0006898105,0.033339936],"genre_scores_gemma":[0.7632227,0.0014270785,0.14807819,0.0010097942,0.000114363014,0.048611797,0.025863053,0.00018856335,0.0114845345],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9967103,0.0006909947,0.00038208385,0.00031019267,0.0016242412,0.00028214342],"domain_scores_gemma":[0.9882543,0.0018869527,0.0006149951,0.00061698776,0.007944451,0.0006822752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008768422,0.00062460214,0.0005874022,0.0018105074,0.0018146088,0.0009889817,0.0017251037,0.00070356426,0.0056660976],"category_scores_gemma":[0.015677698,0.00040107247,0.0009942633,0.0014991174,0.0008515319,0.0008299193,0.0011993102,0.0014507048,0.0010355173],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008048921,0.0020605652,0.57042515,0.0009833964,0.00030678022,0.0003913065,0.0071011945,0.0030685964,0.006892031,0.0034331467,0.039917562,0.36461547],"study_design_scores_gemma":[0.00026549114,0.00050751504,0.9550266,0.00038083564,0.000093463976,0.00011411219,0.0017512175,0.00427946,0.0013794723,0.000654088,0.035459623,0.00008812374],"about_ca_topic_score_codex":0.46441215,"about_ca_topic_score_gemma":0.67381626,"teacher_disagreement_score":0.46441215,"about_ca_system_score_codex":0.0073196315,"about_ca_system_score_gemma":0.019909393,"threshold_uncertainty_score":0.9234179},"labels":[],"label_agreement":null},{"id":"W4416148596","doi":"10.1371/journal.pclm.0000736","title":"The power of hourly weather data: Observed air temperature climate trends for pragmatic decision-making","year":2025,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Office of Naval Research; National Aeronautics and Space Administration","keywords":"Degree (music); Heating degree day; Air temperature; Climate change; Weather station; Atmospheric temperature; Degree day; Maximum temperature; Apparent temperature","score_opus":0.030595651319901024,"score_gpt":0.2923868973204177,"score_spread":0.26179124600051673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416148596","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37082398,0.010104323,0.47824976,0.029995708,0.0013681217,0.0009980738,0.022099711,0.0015428264,0.08481737],"genre_scores_gemma":[0.91492075,0.0014988513,0.0787137,0.0006440141,0.00033634063,0.00036628227,0.0029089663,0.000116083334,0.00049501733],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9853076,0.011052582,0.00076357124,0.0011408873,0.0013788204,0.0003565028],"domain_scores_gemma":[0.88386106,0.1006718,0.0063983975,0.0040231952,0.0037531678,0.0012924046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.027790561,0.0012696178,0.0014889296,0.0046424274,0.0006793678,0.007961381,0.0014032485,0.0014344198,0.004121525],"category_scores_gemma":[0.14303164,0.0008471253,0.0010710281,0.005716023,0.001606274,0.009646363,0.0030841143,0.0024519034,0.00050577946],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014354378,0.00049415464,0.15811472,0.0016195523,0.0019782158,0.00031177595,0.0015469979,0.33462372,0.00040176517,0.12838927,0.018461883,0.35262254],"study_design_scores_gemma":[0.00013833739,0.00026750684,0.023789104,0.00071118126,0.00020283033,0.00006958011,0.0013035303,0.67517173,0.0002597782,0.28766033,0.01030046,0.00012554388],"about_ca_topic_score_codex":0.01680694,"about_ca_topic_score_gemma":0.015606868,"teacher_disagreement_score":0.027790561,"about_ca_system_score_codex":0.002562233,"about_ca_system_score_gemma":0.00352304,"threshold_uncertainty_score":0.1469723},"labels":[],"label_agreement":null},{"id":"W4416214828","doi":"10.1371/journal.pclm.0000759","title":"Climate adaptation in northern communities: The value of framing, flexibility, and knowledge","year":2025,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Value (mathematics); Adaptation (eye); Climate change; Population","score_opus":0.07746197922906606,"score_gpt":0.3976090516437243,"score_spread":0.32014707241465823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416214828","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7970626,0.0028963985,0.0062510716,0.042778715,0.00026820027,0.000046495876,0.00005810704,0.000035873556,0.15060256],"genre_scores_gemma":[0.99883944,0.00020540795,0.0003731843,0.00019288305,0.00003189655,0.000012896505,0.0000040187974,0.000004372818,0.00033587325],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9876803,0.009381265,0.00017692962,0.00067560916,0.0007835896,0.0013022472],"domain_scores_gemma":[0.9736207,0.019321414,0.0018255411,0.0026097377,0.0010674591,0.001555115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01802049,0.00033117094,0.0005121627,0.0016433462,0.010062756,0.009017488,0.0016977214,0.002175963,0.0033401581],"category_scores_gemma":[0.0287339,0.00036272922,0.00027545632,0.0014679792,0.038540546,0.0072906576,0.008562807,0.0022715363,0.0000839091],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016623655,0.00014318274,0.041019335,0.00032354394,0.0000830832,0.00045083225,0.6698335,0.0012758605,0.0006517331,0.22385086,0.0018691433,0.06033267],"study_design_scores_gemma":[0.00002702053,0.00010076283,0.058117308,0.0009907995,0.00008260905,0.00023111938,0.5933612,0.0019400293,0.00056073256,0.3127534,0.03171676,0.000118197204],"about_ca_topic_score_codex":0.04120453,"about_ca_topic_score_gemma":0.06312061,"teacher_disagreement_score":0.04120453,"about_ca_system_score_codex":0.0065022917,"about_ca_system_score_gemma":0.011292103,"threshold_uncertainty_score":0.09530264},"labels":[],"label_agreement":null},{"id":"W4417133803","doi":"10.1371/journal.pclm.0000748","title":"“Heat is a danger to my health even though I said I am used to it”: Qualitative insights of workplace heat among community health workers and health promoters in Kenya","year":2025,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"German Academic Exchange Service","keywords":"Extreme weather; Thematic analysis; Psychological resilience; Health care; Work (physics); Qualitative research; Occupational safety and health","score_opus":0.1214103942132391,"score_gpt":0.4057654698177399,"score_spread":0.2843550756045008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417133803","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9887623,0.0011210326,0.0014035959,0.0033451912,0.00007179354,0.00017759687,0.0000978442,0.000009169438,0.005011462],"genre_scores_gemma":[0.9958586,0.00094283686,0.0006681906,0.00068281195,0.00002097046,0.00022758998,0.00003679946,0.000017894474,0.001544313],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99417853,0.0044064256,0.00010187752,0.00021282097,0.00028318804,0.00081712264],"domain_scores_gemma":[0.9936923,0.004799159,0.00040517646,0.000094262294,0.00031403117,0.0006951941],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0069354456,0.00076548994,0.0008661836,0.0011879519,0.012685878,0.003584151,0.0015225215,0.0015596434,0.002641952],"category_scores_gemma":[0.0077441554,0.00069789874,0.00028527033,0.0012176915,0.01303839,0.0044697635,0.0054060305,0.0030603192,0.00021499328],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011850103,0.000012940112,0.0010366336,0.00007091169,0.0000014318448,0.00051669293,0.9964529,0.000013100991,0.0003008255,0.00035089743,0.00022624256,0.0010056817],"study_design_scores_gemma":[0.0000013199202,0.000010634281,0.00051913376,0.00012348466,0.0000016264803,0.00010911022,0.9970745,0.000021932183,0.00006341798,0.00010234523,0.0019681212,0.00000443587],"about_ca_topic_score_codex":0.01576973,"about_ca_topic_score_gemma":0.03936227,"teacher_disagreement_score":0.01576973,"about_ca_system_score_codex":0.0043038013,"about_ca_system_score_gemma":0.0058360808,"threshold_uncertainty_score":0.036678612},"labels":[],"label_agreement":null}]}