{"id":"W4405269069","doi":"10.1016/s2542-5196(24)00301-2","title":"Engaging clinicians to reduce carbon-intensive, unnecessary tests and procedures","year":2024,"lang":"en","type":"article","venue":"The Lancet Planetary Health","topic":"Healthcare cost, quality, practices","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; University of Toronto; St. Michael's Hospital","funders":"","keywords":"Intensive care medicine; MEDLINE; Medicine; Political science","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":[0.02068791,0.0005898882,0.0004792814,0.00145878,0.003079009,0.005438184,0.002558175,0.01359629,0.02150129],"category_scores_gemma":[0.1323941,0.0004747552,0.0007961543,0.001278546,0.005484947,0.004752357,0.006435599,0.009922758,0.00511281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008777549,"about_ca_system_score_gemma":0.02521018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01316341,"about_ca_topic_score_gemma":0.02856298,"domain_scores_codex":[0.9717463,0.01267535,0.001123316,0.001399577,0.01081447,0.002240964],"domain_scores_gemma":[0.9129404,0.0406032,0.01473105,0.005092985,0.01204177,0.01459059],"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":[0.00009040944,0.0003188951,0.007599728,0.001743541,0.00009342544,0.0002573429,0.003398087,0.0004105392,0.0008554086,0.01868966,0.7492385,0.2173044],"study_design_scores_gemma":[0.000214915,0.000280468,0.011191,0.005751259,0.00007523719,0.0005651443,0.004740342,0.0003056589,0.00100446,0.04345678,0.932352,0.00006276718],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002150254,0.008179819,0.001743306,0.9656668,0.004726208,0.00005542037,0.00006066685,0.00008641811,0.01733113],"genre_scores_gemma":[0.1118232,0.02750403,0.01333479,0.8190004,0.01907834,0.0002220631,0.0001730104,0.0001538928,0.008710292],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02150129,"threshold_uncertainty_score":0.1094095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5558785327955941,"score_gpt":0.5553708106348907,"score_spread":0.0005077221607033833,"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."}}