{"id":"W4412948459","doi":"10.1007/978-3-031-87031-6_12","title":"Conclusion","year":2025,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on technology and health","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003831004,0.0005155268,0.0003685208,0.001147356,0.001964306,0.005997319,0.001641216,0.002103421,0.3791734],"category_scores_gemma":[0.01579105,0.0001464131,0.0006330042,0.001102123,0.001025304,0.002591185,0.002338961,0.00179195,0.1306489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003898315,"about_ca_system_score_gemma":0.006530344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009816642,"about_ca_topic_score_gemma":0.01083173,"domain_scores_codex":[0.9971111,0.0006534481,0.00008789819,0.0004560022,0.001274319,0.0004172449],"domain_scores_gemma":[0.9945943,0.0009348222,0.0002027972,0.000467334,0.003125923,0.0006748231],"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":[0.0001373802,0.00004026052,0.001164739,0.0004353522,0.00001687792,0.00009986846,0.0005034022,0.00008821693,0.0001832041,0.06045878,0.8067159,0.1301561],"study_design_scores_gemma":[0.0000187638,0.00001719335,0.001382347,0.0005005821,0.00001503253,0.00006024762,0.001639152,0.00003415736,0.0002120773,0.01051479,0.9856005,0.000005245224],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002293309,0.004044844,0.003184831,0.07758171,0.01494586,0.0002325028,0.003253988,0.0004546221,0.8940084],"genre_scores_gemma":[0.04009011,0.003783166,0.002682452,0.06783633,0.003422685,0.0003819396,0.003338072,0.0004793333,0.8779859],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6208266,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04548690061667975,"score_gpt":0.3951778222406498,"score_spread":0.34969092162397,"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."}}