{"id":"W4388767836","doi":"10.1136/gutjnl-2023-331195","title":"Impact of climate change on vulnerable populations","year":2023,"lang":"en","type":"article","venue":"Gut","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Climate change; Environmental science; Environmental health; Medicine; Biology; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004691416,0.00005493981,0.00008258666,0.0001398482,0.0003755399,0.00002516452,0.00007405753,0.00004841451,0.0002982614],"category_scores_gemma":[0.0001924293,0.00005197202,0.00006328534,0.0005992602,0.00004013769,0.0001846481,0.00001343141,0.00004892092,0.0003968924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001155824,"about_ca_system_score_gemma":0.00003676359,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00772159,"about_ca_topic_score_gemma":0.01430788,"domain_scores_codex":[0.9992279,0.00009482678,0.0001252488,0.0001042831,0.0002231251,0.0002246078],"domain_scores_gemma":[0.9996055,0.00008562216,0.00007675892,0.0001131412,0.00007088901,0.000048089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000777957,0.0002917231,0.4276292,0.0000682821,0.00004867424,0.000007490301,0.2463555,0.002136853,0.003552495,0.2335116,0.02496992,0.06135048],"study_design_scores_gemma":[0.000199736,0.0001066073,0.9860668,0.00003862422,0.00001205016,1.581088e-7,0.004992434,0.001421083,0.00003084378,0.003343382,0.003661957,0.0001263657],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972798,0.00001930199,0.0000101034,0.0009772596,0.000275112,0.0002422001,0.00007669215,0.0001497287,0.02545163],"genre_scores_gemma":[0.9984269,0.0003543235,0.00005710357,0.00004149456,0.0002475154,0.00003389271,0.0001046617,0.000008960015,0.0007251834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5584376,"threshold_uncertainty_score":0.998886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3579232226347412,"score_gpt":0.4382798437493554,"score_spread":0.08035662111461417,"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."}}