{"id":"W4406832491","doi":"10.1002/joc.8761","title":"Mapping the Research Landscape: A Comprehensive Bibliometric Review of Global Warming and Human Health","year":2025,"lang":"en","type":"article","venue":"International Journal of Climatology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact","funders":"","keywords":"Climatology; Global warming; Human health; Environmental science; Geography; Climate change; Environmental resource management; Environmental health; Ecology; Medicine; Geology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0362929,0.001119796,0.004887323,0.1821565,0.001809723,0.007957201,0.001727732,0.001680643,0.003765566],"category_scores_gemma":[0.1371444,0.001000362,0.003977847,0.2246072,0.002446563,0.008149088,0.00524124,0.001380264,0.0005148889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005640282,"about_ca_system_score_gemma":0.02048634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0123936,"about_ca_topic_score_gemma":0.02760823,"domain_scores_codex":[0.9660596,0.01218374,0.01012443,0.002308039,0.008552253,0.000771851],"domain_scores_gemma":[0.7732205,0.1725837,0.02288989,0.005428479,0.02362724,0.002250106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000178542,0.00008472509,0.04511135,0.5001624,0.009412655,0.0006998245,0.00476207,0.001459064,0.0008213239,0.009102602,0.03196051,0.396245],"study_design_scores_gemma":[0.00007633122,0.000224446,0.1619509,0.5315197,0.02246676,0.001565778,0.01063817,0.001969079,0.0008043886,0.01104958,0.2574314,0.0003034654],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01393271,0.9649345,0.001685296,0.007191353,0.0005332964,0.0003169714,0.006884307,0.00009852195,0.004423019],"genre_scores_gemma":[0.1173875,0.8695012,0.005346375,0.001196195,0.0007341294,0.0005562538,0.004859535,0.00007021223,0.0003486509],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8178435,"threshold_uncertainty_score":0.1919374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2006801291692558,"score_gpt":0.4919393648295638,"score_spread":0.291259235660308,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}