{"id":"W2529239689","doi":"10.23736/s0375-9393.16.11564-0","title":"Preoperative functional assessment and optimization in surgical patient: changing the paradigm","year":2017,"lang":"en","type":"article","venue":"Minerva Anestesiologica","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Prehabilitation; Medicine; Perioperative; Preoperative care; Surgical stress; Physical therapy; Psychological intervention; Intensive care medicine; Quality of life (healthcare); Anticipation (artificial intelligence); Rehabilitation; Physical medicine and rehabilitation; Surgery; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003351117,0.0001442857,0.0004025222,0.00007537237,0.0003646971,0.00007290784,0.00007507879,0.00009921508,0.0001276581],"category_scores_gemma":[0.0001942676,0.00007568637,0.0001120277,0.00009064507,0.0001754296,0.00009817269,0.00007160298,0.0001559594,0.000004811493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000339633,"about_ca_system_score_gemma":0.00003490777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001433607,"about_ca_topic_score_gemma":0.00000269653,"domain_scores_codex":[0.9989821,0.0001365978,0.0002086145,0.0002599931,0.0001813366,0.0002313713],"domain_scores_gemma":[0.9988972,0.0006061152,0.00008903672,0.0002921813,0.00003700363,0.00007848551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003668111,0.0002054746,0.9702694,0.00003110853,0.00005686454,0.001219986,0.0005996308,0.005199592,0.00008224696,0.01385939,0.00005916755,0.008050299],"study_design_scores_gemma":[0.00116325,0.0003278463,0.9767438,0.0000547476,0.00004166172,0.0004906025,0.0002824708,0.01059324,0.00001366097,0.00003619126,0.01011377,0.0001387505],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777156,0.0004322638,0.0001737559,0.006127587,0.00009532458,0.000477809,0.000001817963,0.00002892995,0.01494691],"genre_scores_gemma":[0.9972257,0.0001576633,0.0006044929,0.0005303677,0.0001156144,0.00006851109,0.00002553101,0.000007748958,0.001264359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01951011,"threshold_uncertainty_score":0.30864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03240180604814487,"score_gpt":0.2958095186930224,"score_spread":0.2634077126448776,"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."}}