{"id":"W4366527843","doi":"10.1093/oso/9780197678633.003.0001","title":"Introduction","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Section (typography); Engineering ethics; Volume (thermodynamics); Management science; Computer science; Data science; Operations research; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003801775,0.0007860377,0.0005009799,0.001059194,0.001868673,0.004212553,0.00130919,0.001808307,0.4518402],"category_scores_gemma":[0.001532985,0.0002944295,0.0004343225,0.00098528,0.000680413,0.002496059,0.002093178,0.002186133,0.2307842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002004319,"about_ca_system_score_gemma":0.001877011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004093186,"about_ca_topic_score_gemma":0.004934331,"domain_scores_codex":[0.9994962,0.00006130306,0.00002184782,0.0001174547,0.000239576,0.00006355008],"domain_scores_gemma":[0.999471,0.00008479374,0.00002197536,0.00005349955,0.0002721726,0.00009671418],"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":[0.00002446545,0.00004500893,0.0001698861,0.0002727612,0.000002320223,0.0001265628,0.0007152597,0.0001361378,0.0003570977,0.04896389,0.8302264,0.1189601],"study_design_scores_gemma":[0.000001148027,0.000006642062,0.0001113496,0.0001130101,6.678346e-7,0.00005624337,0.0001049105,0.00001635686,0.00003918766,0.002234467,0.9973139,0.000002028761],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007553204,0.005084679,0.002479651,0.005375464,0.004906994,0.0001477992,0.001795999,0.0005094411,0.9789448],"genre_scores_gemma":[0.004181906,0.003543089,0.001621928,0.001745878,0.0009492736,0.00008461122,0.001729778,0.0001967262,0.9859468],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4518402,"threshold_uncertainty_score":0.7818835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06511133788953198,"score_gpt":0.3782193590872449,"score_spread":0.3131080211977129,"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."}}