{"id":"W2339275689","doi":"10.1177/0020731415596296","title":"Lessons for Health From Insights into Environmental Crises","year":2015,"lang":"en","type":"article","venue":"International Journal of Health Services","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"","keywords":"Humanity; Global health; Human health; Climate change; Malaise; Political science; Key (lock); Environmental ethics; Health care; Medicine; Environmental health; Ecology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006669858,0.000129743,0.0002872407,0.00009133069,0.0001434957,0.00004968958,0.0005094582,0.00004607794,0.0002971624],"category_scores_gemma":[0.00001738941,0.0001083853,0.00007295121,0.00005274428,0.00004385438,0.0005010216,0.0001308808,0.0001252539,0.0001013734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001017562,"about_ca_system_score_gemma":0.0001594511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00435704,"about_ca_topic_score_gemma":0.002110351,"domain_scores_codex":[0.9979731,0.000091641,0.000754655,0.0001729562,0.0007170842,0.0002905344],"domain_scores_gemma":[0.9982484,0.0001021493,0.000942647,0.0001130376,0.00004022526,0.0005535724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002188561,0.002456137,0.1631908,0.0005605643,0.0003401631,0.00009746374,0.2154351,0.00215335,0.002063672,0.0004737006,0.166183,0.4448575],"study_design_scores_gemma":[0.005397832,0.002397372,0.2543598,0.0009586347,0.00002431462,0.000101543,0.01739907,0.001846588,0.0004954159,0.03214375,0.6844317,0.0004440075],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8729077,0.00625376,0.000812661,0.1172256,0.002133804,0.0003134271,0.0001282395,0.00001750672,0.0002072904],"genre_scores_gemma":[0.9718645,0.001899866,0.003072855,0.02243351,0.0006044281,0.000006386264,0.00007700874,0.00001657021,0.00002484929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5182487,"threshold_uncertainty_score":0.658657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09526027927259777,"score_gpt":0.403872137827159,"score_spread":0.3086118585545612,"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."}}