{"id":"W2140971939","doi":"10.1111/j.1945-1474.2011.00139.x","title":"Activities Identification for Activity-Based Cost/Management Applications of the Diagnostics Outpatient Procedures","year":2011,"lang":"en","type":"article","venue":"Journal for Healthcare Quality","topic":"Quality and Safety in Healthcare","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Identification (biology); Computer science; Task (project management); Schema (genetic algorithms); Process (computing); Health care; Risk analysis (engineering); Process management; Operations management; Medicine; Engineering; Machine learning; Systems engineering","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":[0.001401604,0.0006256039,0.0004044917,0.0040146,0.0006983468,0.001316722,0.0007753851,0.0004788483,0.002269967],"category_scores_gemma":[0.006255219,0.0002675509,0.0006100031,0.00291007,0.0002833901,0.0009864086,0.0005853184,0.0005204014,0.0007290075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001040694,"about_ca_system_score_gemma":0.001620603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006008962,"about_ca_topic_score_gemma":0.008195437,"domain_scores_codex":[0.9986473,0.0005040095,0.0001727296,0.0001713344,0.000424268,0.00008039475],"domain_scores_gemma":[0.9972039,0.001272227,0.0004251562,0.0002072801,0.0007861558,0.00010531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004746874,0.0008270118,0.04116568,0.0008724105,0.00008651101,0.0005476697,0.002748364,0.05567875,0.0250417,0.027038,0.00615597,0.8393632],"study_design_scores_gemma":[0.00004816054,0.0003124423,0.03249745,0.0002718486,0.00009621949,0.0004905194,0.001727938,0.9110619,0.01843043,0.01749205,0.01749062,0.00008050126],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06941073,0.0001567841,0.9214544,0.0002486624,0.00002011341,0.0009952873,0.0008673139,0.002508426,0.004338286],"genre_scores_gemma":[0.3014824,0.0001228821,0.6955692,0.00002607787,0.000008349229,0.0005799931,0.001304971,0.00006450815,0.0008415893],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006008962,"threshold_uncertainty_score":0.01194793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2928566967468696,"score_gpt":0.5249207290569147,"score_spread":0.2320640323100451,"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."}}