{"id":"W2911229929","doi":"","title":"STREAMLINING THE PERI-OPERATIVE ORTHOPAEDIC PATIENT FLOW","year":2018,"lang":"en","type":"article","venue":"","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Audit; Seniority; Orthopedic surgery; Medical emergency; Operations management; Emergency medicine; Surgery; Accounting; Business; 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":[],"consensus_categories":[],"category_scores_codex":[0.007581362,0.0002324578,0.0002814131,0.002755899,0.0006460986,0.001925758,0.0006335989,0.000371582,0.003303691],"category_scores_gemma":[0.03100875,0.0002189334,0.0002064451,0.001999242,0.0005263918,0.001787498,0.001010592,0.0007098023,0.000755226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001703764,"about_ca_system_score_gemma":0.00481178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005200961,"about_ca_topic_score_gemma":0.009719949,"domain_scores_codex":[0.9948619,0.001825383,0.001068947,0.000276051,0.001334181,0.0006335373],"domain_scores_gemma":[0.9601852,0.01130258,0.01591621,0.001442449,0.008393682,0.002759893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005146852,0.0004479079,0.7218792,0.0006639024,0.00002567616,0.0004403789,0.002063594,0.0007711669,0.003066497,0.0005630126,0.005077005,0.2644869],"study_design_scores_gemma":[0.00003523239,0.001174345,0.9753413,0.000343557,0.00002051152,0.0006371166,0.003865362,0.001641335,0.002188271,0.0007022187,0.01399167,0.0000590621],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9804572,0.001164367,0.005653649,0.005376969,0.0002934998,0.0005680711,0.0007815704,0.0001819867,0.005522574],"genre_scores_gemma":[0.9818738,0.001305563,0.01237269,0.001004614,0.0003118106,0.000200418,0.0005982808,0.0000424296,0.002290372],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.007581362,"threshold_uncertainty_score":0.04009461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0131919960066923,"score_gpt":0.2817671978697545,"score_spread":0.2685752018630622,"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."}}