{"id":"W4408358865","doi":"10.4212/cjhp.3751","title":"Advancing Climate Care in Health Care: Pharmacy’s Green Light","year":2025,"lang":"en","type":"editorial","venue":"The Canadian Journal of Hospital Pharmacy","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pharmacy; Health care; Medicine; Family medicine; Nursing; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.02041614,0.005299564,0.005914354,0.007227718,0.008835747,0.02425743,0.006814319,0.04448696,0.01521543],"category_scores_gemma":[0.06378783,0.001811839,0.004342965,0.004832849,0.006853742,0.008774558,0.003532534,0.0413439,0.006336153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0140274,"about_ca_system_score_gemma":0.02260526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0254119,"about_ca_topic_score_gemma":0.08600377,"domain_scores_codex":[0.9783584,0.003270096,0.001918045,0.001491736,0.01351292,0.001448758],"domain_scores_gemma":[0.9019153,0.04275361,0.003747452,0.001939848,0.03345791,0.0161859],"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":[0.00001473298,0.00001151793,0.00001876049,0.0002079099,0.00002096785,0.00004316853,0.00002438924,0.00001887279,0.00001499587,0.0003608468,0.9965681,0.002695698],"study_design_scores_gemma":[0.00008401427,0.00002606573,0.0003756772,0.001062107,0.00009676746,0.0001275713,0.0001846932,0.0001761284,0.00004697383,0.001923038,0.9958521,0.00004471302],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00001369774,0.007785887,0.0000407008,0.04906725,0.9421608,0.000008126003,0.00001855215,0.00001785389,0.0008870317],"genre_scores_gemma":[0.0002876783,0.004728938,0.00004926325,0.02145629,0.9708808,0.000008849875,0.000009533573,0.00001478748,0.002563871],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.04448696,"threshold_uncertainty_score":0.1079721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01331556005170875,"score_gpt":0.3255573547627013,"score_spread":0.3122417947109926,"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."}}