{"id":"W4389207515","doi":"10.1136/bmjebm-2023-112397","title":"Integrating a climate lens into the design of education programmes for health professionals","year":2023,"lang":"en","type":"article","venue":"BMJ evidence-based medicine","topic":"Innovations in Medical Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; McMaster University; University of Waterloo","funders":"","keywords":"Lens (geology); Health professionals; Through-the-lens metering; Medical education; Sociology; Engineering ethics; Public relations; Engineering; Political science; Medicine; Health care","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00936949,0.0001854885,0.0004730462,0.000448072,0.0003003966,0.000008979059,0.0002047244,0.00009985096,0.00007087782],"category_scores_gemma":[0.02620302,0.0001051108,0.00007534206,0.001936333,0.0003566797,0.0001415869,0.00003060808,0.0002980545,0.00001561417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000273933,"about_ca_system_score_gemma":0.004504192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001478884,"about_ca_topic_score_gemma":0.0000102174,"domain_scores_codex":[0.9971264,0.0002985044,0.001062844,0.000314469,0.0007916531,0.0004061462],"domain_scores_gemma":[0.9954935,0.002114664,0.0006229847,0.0005307012,0.001141838,0.00009630343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0006824475,0.0005068168,0.003279054,0.004503942,0.00005211827,0.000001707861,0.01043747,0.00005290614,0.002445635,0.006576431,0.4167125,0.554749],"study_design_scores_gemma":[0.01630851,0.02586568,0.06508093,0.3140899,0.001553647,0.0001601311,0.2017205,0.1347468,0.01518401,0.0167089,0.2068883,0.001692739],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03770132,0.002566388,0.074487,0.8721562,0.002140004,0.01058915,0.000003742236,0.0002488546,0.000107337],"genre_scores_gemma":[0.6828333,0.001299966,0.2094089,0.08883229,0.003964274,0.01140343,0.0007701014,0.0001186207,0.001369168],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.7833239,"threshold_uncertainty_score":0.9819997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1680893224571237,"score_gpt":0.5137538397847501,"score_spread":0.3456645173276264,"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."}}