{"id":"W31288618","doi":"10.1023/a:1025147906867","title":"Predicting length of stay out of hospital following lung resection using preoperative health status measures","year":2003,"lang":"en","type":"article","venue":"Quality of Life Research","topic":"Spine and Intervertebral Disc Pathology","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; St. Michael's Hospital; University of Toronto; Toronto Rehabilitation Institute","funders":"","keywords":"Medicine; Quality of life (healthcare); DLCO; Cardiorespiratory fitness; Prospective cohort study; Population; Physical therapy; Cohort; Internal medicine; Lung function; Surgery; Diffusing capacity; Lung","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":[0.0006185286,0.000317928,0.0003445274,0.0006798853,0.00037219,0.0005761505,0.0003336138,0.0006952567,0.0009538366],"category_scores_gemma":[0.004467288,0.000178231,0.0006345229,0.0004470083,0.0003471161,0.0005592318,0.0004797708,0.001064265,0.0001436735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005588005,"about_ca_system_score_gemma":0.0005298571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004815112,"about_ca_topic_score_gemma":0.008881305,"domain_scores_codex":[0.9997078,0.00008776251,0.00004779316,0.00002607888,0.00004174844,0.00008888073],"domain_scores_gemma":[0.9948907,0.001711786,0.001490522,0.0001027525,0.0003776609,0.001426581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002560407,0.00007949679,0.9982712,0.00000550271,0.00003145198,0.00003730611,0.00002656571,0.00009214113,0.0001049386,0.000006680553,0.00004541247,0.001043168],"study_design_scores_gemma":[0.00001043692,0.000576108,0.9981028,0.000005335908,0.00003477445,0.0001314854,0.0002171988,0.0007423238,0.00009003855,0.00002943677,0.00005345761,0.000006612699],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995599,0.0001078094,0.00004927497,0.00005608584,0.000009219285,0.000002994971,0.00006199131,0.000001246322,0.0001513906],"genre_scores_gemma":[0.9995994,0.00005926774,0.00008016165,0.00001708505,0.00001068854,0.000003346899,0.0001631996,5.35423e-7,0.0000664104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004815112,"threshold_uncertainty_score":0.009574175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3219840360513428,"score_gpt":0.5139851951937826,"score_spread":0.1920011591424398,"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."}}