{"id":"W2546436571","doi":"10.12927/hcq.2016.24791","title":"Healthcare and Climate Change: Do No Harm","year":2016,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Harm; Health care; Climate change; Best practice; Nursing; Business; Medicine; Public relations; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008089122,0.001158816,0.00141251,0.001199823,0.005764043,0.007472662,0.001566291,0.0160593,0.02599907],"category_scores_gemma":[0.02456818,0.0004562918,0.001266238,0.0009191389,0.02180744,0.01552501,0.008853658,0.01679808,0.01051868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003924178,"about_ca_system_score_gemma":0.008352654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006254517,"about_ca_topic_score_gemma":0.00498756,"domain_scores_codex":[0.9908071,0.004827716,0.0003044046,0.0008297404,0.002198674,0.001032398],"domain_scores_gemma":[0.9869691,0.005434319,0.0008369673,0.00205557,0.002138951,0.002565025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002242777,0.0002968967,0.002487036,0.0009024206,0.0002172579,0.0003979764,0.002318206,0.0005426767,0.0004465649,0.2759392,0.57783,0.1383976],"study_design_scores_gemma":[0.00007305774,0.000134564,0.0009395189,0.001232124,0.00005587303,0.0004662566,0.001902956,0.0001487876,0.0002207138,0.1931428,0.8016353,0.00004821317],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001252989,0.02651743,0.001984934,0.9015427,0.01677559,0.00002982312,0.0001216975,0.0001687617,0.05160613],"genre_scores_gemma":[0.0812756,0.04117039,0.002156279,0.8178434,0.02308399,0.0001415375,0.0001463512,0.0001881234,0.03399425],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02599907,"threshold_uncertainty_score":0.08697557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06611726276521454,"score_gpt":0.3391499515286374,"score_spread":0.2730326887634229,"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."}}