{"id":"W3031823049","doi":"10.1200/jco.2020.38.15_suppl.7019","title":"Predictive survival ability of patient-reported in comparison to physician-reported performance status in solid malignancies.","year":2020,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; Sunnybrook Health Science Centre; Cancer Care Ontario; Health Sciences Centre; Baker Hughes (Canada)","funders":"","keywords":"Medicine; Performance status; Internal medicine; Cancer; Hazard ratio; Proportional hazards model; Oncology; Confidence interval","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003835988,0.0004510257,0.0004015206,0.0008435935,0.000280952,0.00077605,0.0005852601,0.0004901161,0.002225229],"category_scores_gemma":[0.01518812,0.0001520833,0.0008616615,0.001165569,0.0004035204,0.0004354882,0.0004812363,0.0008086421,0.0004814393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001382484,"about_ca_system_score_gemma":0.00144323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08514953,"about_ca_topic_score_gemma":0.1009353,"domain_scores_codex":[0.999096,0.0002712875,0.00007127962,0.0002592604,0.0001990632,0.0001032296],"domain_scores_gemma":[0.9929785,0.003786329,0.001204924,0.0006007823,0.0008610357,0.0005684405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003054028,0.00002368693,0.9931978,0.00003353645,0.000147723,0.00001712136,0.00003573507,0.001526326,0.00006230369,0.00002840705,0.0008284481,0.003793595],"study_design_scores_gemma":[0.00004145738,0.0001586775,0.9827484,0.00003464019,0.0001713986,0.0001020369,0.00009225764,0.01501248,0.0001534386,0.0001927586,0.001277942,0.00001451338],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851821,0.001088929,0.001008594,0.0004217044,0.00006714604,0.00004046631,0.01079078,0.00006436295,0.001335856],"genre_scores_gemma":[0.9952129,0.0000951958,0.0002137093,0.00002745053,0.00001529926,0.00001210087,0.004197223,0.000005082746,0.0002208911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08514953,"threshold_uncertainty_score":0.1693078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0888066843451651,"score_gpt":0.4491425284582962,"score_spread":0.3603358441131311,"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."}}