{"id":"W4389058527","doi":"10.1001/jama.2023.23724","title":"Clinical Research Risks, Climate Change, and Human Health","year":2023,"lang":"en","type":"article","venue":"JAMA","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences; Public Health Ontario; University of Toronto","funders":"","keywords":"Compromise; Medicine; Climate change; Soundness; Human health; Value (mathematics); Welfare; Environmental resource management; Human welfare; Risk analysis (engineering); Environmental planning; Environmental health; Ecology; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.01526604,0.0002796924,0.000347573,0.001255241,0.002957872,0.006134876,0.0008689375,0.005115056,0.004366182],"category_scores_gemma":[0.02674523,0.0001950734,0.0007014795,0.001102788,0.01607633,0.003266963,0.003243275,0.005056622,0.0003766293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004031467,"about_ca_system_score_gemma":0.008823207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00631701,"about_ca_topic_score_gemma":0.01393846,"domain_scores_codex":[0.981824,0.01345437,0.0004994227,0.0006738147,0.002498162,0.001050203],"domain_scores_gemma":[0.9613053,0.0274519,0.004869446,0.001961607,0.002502638,0.001909053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007295763,0.0001138122,0.0266188,0.0004117696,0.00013272,0.0004762865,0.003876868,0.001536572,0.0003684864,0.8923668,0.03458991,0.03943497],"study_design_scores_gemma":[0.00004271861,0.0001944509,0.02738118,0.00178753,0.00008939295,0.0010978,0.008879031,0.0005995629,0.0005314605,0.6220385,0.3372557,0.0001025192],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01146131,0.04022688,0.003324741,0.8651919,0.002469727,0.0000216909,0.0001071182,0.00002689398,0.07716958],"genre_scores_gemma":[0.7007422,0.06424334,0.005007699,0.2017266,0.01658785,0.000134218,0.0001165965,0.00005222084,0.01138909],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01526604,"threshold_uncertainty_score":0.08073545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6242575301948645,"score_gpt":0.5653510566741735,"score_spread":0.05890647352069101,"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."}}